Activity and Kinematics of Ultracool Dwarfs Including An Amazing Flare Observation
Study_on_the_pharmacological_activities_and_chemic
ReviewStudy on the pharmacological activities and chemicalstructures of Viburnum dilatatumZhiheng Gao, Yufei Xi, Man Wang, Xiaoxiao Huang*, Shaojiang Song*Key Laboratory of Computational Chemistry-Based Natural Antitumor Drug Research &Development, Liaoning Province, School of Traditional Chinese Materia Medica, ShenyangPharmaceutical University, Shenyang 110016, ChinaAbstractViburnum dilatatum (jiami in Chinese), belonging to the Caprifollaceae family, is widely distributed in Japan and China. Phytochemical investigations of Viburnum dilatatum (V. dilatatum) have resulted in the isolation of triterpenoids, phenolic glycosides essential oil, norisoprenoids, etc. Research results have shown that the chemical constituents of V. dilatatum possess various pharmacological activities, including antihyperglycemic, antioxidant activity and antiulcer effects. This study reviewed the chemical constituents and pharmacological activities of V. dilatatum to provide practical and useful information for further research and development of this plant.Keywords: Viburnum dilatatum; pharmacological activity; chemical structures1 IntroductionViburnum dilatatum (called jiami in Chinese, gamazumi in Japanese and snowball tree in English), beloinging to family Caprifoliaceae, is a deciduous low tree distributed widely in the hills of northern China and Japan [1]. There are many types of chemical constituents in Viburnum dilatatum (V. dilatatum), including triterpenoids, * Author to whom correspondence should be addressed. Address:School of Traditional Chinese Materia Medica, Shenyang Pharmaceutical University, 103 Wenhua Rd., Shenyang 110016, China; Tel.: +86-24-43520793 (Xiaoxiao Huang); +86-24-43520707 (ShaojiangSong);E-mail:*******************(XiaoxiaoHuang); ****************(ShaojiangSong).Received: 2021-04-16 Accepted: 2022-08-28phenolic glycosides and norisoprenoids [2-4]. The leaves have been utilized as a traditional Chinese medicine, and phenolic compounds have been reported as the main active chemical component of the leaves. Many researchers have analyzed the functions of these medicinal components and found that these components have good antioxidant antihyperglycemic and antiulcer effects. For example, the gamazumi crude extract obtained from the squeezed juice of the fruit prevented oxidative injury in rats [5]. This review described the chemical structures and pharmacological activities of V. dilatatum, so as to help readers understand comprehensively the research progress of V. dilatatum and provide help for the development of V. dilatatum.2 Chemical constituents and structuresPrevious reports have indicated that the main chemical constituents of V. dilatatum are phenolic glycosides and triterpenoids.2.1 Phenolic glycosidesThirteen phenolic glycosides were isolated and identified from V. dilatatum by extensive spectroscopic methods, namely p -hydroxyphenyl-6-O -trans-caffeoyl-β-D -glucoside (1) [6], p -hydroxyphenyl-6-O -trans-caffeoyl-β-D -alloside (2) [6], 4-allyl-2-methoxyphenyl-6-O -β-D -apiosyl(1→6)-β-D -glucoside (3) [6], 1-(4’-hydroxy-3’-methoxypheny1)-2-[2’’-hydroxy-4’’-(3’’’-hydroxypropyl)]-1,3-propanediol-l-O -β-D -glucopyranoside (erythro isomer) (4-7) [7], neochlorogenic acid methyl ester (8-9) [7], cryptochlorogenic acid methyl ester (10-11) [7], cyanidin-3-sambubioside (Cy-3-sam) (12) [8], cyanidin-3-glucoside (Cy-3-glc) (13) [8], 5-O -caffeoyl-4-methoxyl quinic acid (4-MeO-5-CQA) (14) [8], chlorogenic acid (5-CQA) (15) [8], quercetin (16) [8], 2-(glucopyranosyloxy)-benzyl-3-(glucopyranosyloxy)-benzoate (17) [9] and jiamizioside E (18) [10]. These structures are shown in Fig. 1.Fig. 1 Phenolic glycosides isolated from V . dilatatumContinued fig. 12.2 TriterpenoidsThere were about seventeen triterpenoids isolated and characterized from V. dilatatum , such as viburnols A (19) [11], viburnols B (20) [11], viburnols C (21) [11], viburnols D (22) [11], viburnols E (23) [11], viburnols F (24) [12], viburnols G (25) [12], viburnols H (26) [12], viburnols I (27) [12], viburnols J (28) [12],viburnols K (29) [12], viburnudienone B 2methyl ester (30) [13], viburnenone H 2 (31) [13],v i b u r n e n o n e B 2 m e t h y l e s t e r (32) [13], viburnudienone B 1 methyl ester (33) [13], viburnenone H 1 (34) [13], and viburnenone B 2 methyl ester (35) [13]. The structures are shown in Fig. 2.Continued fig. 23 Pharmacological activities3.1 Antioxidant activityOxidative stress caused by free radicals and their derivatives leads to disturbances in redox homeostasis. Reactive oxygen species (ROS) are not only endogenously produced during intracellular metabolic processes but also generated by exogenous stimuli such as UV radiation, pollutants, smoke and drugs. The cell triggers its defense systems or undergoes apoptosis when intracellular oxidative status increases. It influences numerous cellular processes including core signaling pathways, which are associated with development of systematic and chronic disorders, such as aging and cancer. Therefore, it is critical to remove cellular oxidants and restore redox balance.solution of V. dilatatum (GSS) had strong antioxidant activity in vivo and prevent stress-induced oxidative damage by the XYZ-dish method and the澳electron spin resonance (ESR) method [14]. The experimental result showed that the concentrations of lipid peroxide in plasma, liver and stomach in the GSS group were reduced. Furthermore, the activities of plasma lactic dehydrogenase, amylase and creatine phosphokinase are ordinarily increased by stress. However, these activities in the GSS group decreased to that in the control group. It was concluded that gastric ulcer formation, increase of lipid peroxidation in plasma and tissues and elevation of plasma enzymatic activities were confirmed in rats with water immersion restraint stress. It was also found that intake of GSS could protect the stomach and other tissues from oxidative damage.Kim et al. identified and isolated two major anthocyanins by NMR and LC-ESI-MS/MS, namely, cyanidin 3-sambubioside (I) and kuromanin (II) [15]. By the electron spin resonance method, the superoxide anion radical scavenging activities of I and II were evaluated with the IC 50 values of 17.3 and 69.6 µM, and their activities on hydroxyl radicals were evaluated with the IC 50 values of 4.3 and 53.2 mM. As the positive control, the IC 50 values of ascorbic acid were 74.2 µM on superoxide anion radicals and 3.0 mM on hydroxyl radicals, respectively. The above results suggested that these anthocyanins with radical scavenging properties might be the key compounds contributing to the antioxidant activity and physiological effects of V . dilatatum fruits.Woo et al. determined the free radical scavenging capacity of VD (the leaves of V. dilatatum ) [16]. Anti-oxidant activity of the extracts was assessed by the ability to scavenge 2,2-diphenyl-1-picrylhydrazyl (DPPH) or 3-ethylbenzothiazoline-6-sulfonic acid (ABTS) radicals. Butylated hydroxytoluene (BHT), a synthetic antioxidant, or α-tocopherol, was used as the positive control in these assays. The experimental result showed that VD inducedincrease in radical scavenging activity. In addition, lipid peroxidation inhibitory activity was determined via measurement of MDA (Malondialdehyde) levels using mouse liver tissue homogenate treated with various concentrations of the extracts. The concentration-dependent decrease in MDA levels observed was consistent with radical scavenging activities of the extracts. To examine whether VD extracts could protect mam-malian cells from oxidative stress, cultures of a human mammary gland-derived epithelial cell line MCF-7 were treated with each extract prior to challenging them with tBHP. The intracellular ROS (Reactive oxygen species) production was determined with the relative intensity of dichlorofluorescein fluorescence. While intracellular ROS formation was significantly promoted by tBHP treatment, the augmented ROS level was significantly reduced after the treatment with VD extracts.3.2 Antihyperglycemic effectIwai et al. used an oral glucose tolerance test on the diabetic rats [17]. They found that the elevation of plasma glucose level after oral administration of 2 g/kg glucose was suppressed by the repeated administration of the freeze-dried powder of V. dilatatum fruit juice (CEV). The α-glucosidase inhibitory activities of isolated compounds from CEV were also measured. Cyanidin 3-sambubioside and 5-caffeoyl quinic acid A showed inhibitory activity. These results suggested that V. dilatatum fruit had the antihyperglycemic effects.4 ConclusionV. dilatatum is distributed widely in the hills of northern China and Japan. Currently, the studies on V. dilatatum have been conducted at home and abroad, but few studies focus on its chemical components and pharmacological activities. Previousphytochemical investigations showed that the constituents of V. dilatatum included triterpenoids, phenolic glycosides, norisoprenoids and other compounds. This study describes thirteen phenolic glycosides and seventeen triterpenoids and their different degrees of antihyperglycemic, antioxidant activity and antiulcer effects, aiming to provide a reference for further studies on V. dilatatum and pharmaceutical development.References[1] Jeffrey B, Harborne A. Colour atlas of medicinal plantsof Japan. Phytochemistry, 1981, 20: 1467.[2] Miyazawa M, Hashidume S, Takahashi T, et al. Aromaevaluation of gamazumi (Viburnum dilatatum) by aroma extract dilution analysis and odour activity value.Phytochem Anal, 2012, 23: 208-213.[3] Kurihara T, Kikuchi M. Studies on the constituentsof flowers. IV. On the components of the flower of Viburnum dilatatum Thunb. J Health Sci, 1975, 95: 1098-1102.[4] Machida K, Kikuchi M. Norisoprenoids from Viburnumdilatatum. Phytochemistry, 1996, 41: 1333-1336. [5] Iwai K, Onodera A, Matsue H. Mechanism of preventiveaction of Viburnum dilatatum Thunb (gamazumi) crude extract on oxidative damage in rats subjected to stress. J Sci Food Agric, 2010, 83: 1593-1599.[6] Machida K, Nakano Y, Kikuchi M. Phenolic glycosidesfrom Viburnum dilatatum. Phytochemistry, 1991, 30: 2013-2014.[7] Machida K, Kikuchi M. Phenolic compounds fromViburnum dilatatum. Phytochemistry, 1992, 31: 3654-3656.[8] Kim MY, Iwai K, Matsue H. Phenolic compositions ofViburnum dilatatum Thunb. fruits and their antiradical properties. J Food Compos Anal, 2005, 18: 789-802. [9] Lu D, Yao S. Phenolic glycoside from the roots ofViburnum dilatatum. Nat Prod Commun, 2009, 4: 945-946.[10] Wu B, Zeng X, Zhang Y. New metabolite fromViburnum dilatatum. Nat Prod Commun, 2010, 5: 1097-1098.[11] Machida K, Kikuchi M. Viburnols: Novel triterpenoidswith a rearranged dammarane skeleton from Viburnum dilatatum. Tetrahedron Lett, 1996, 37: 4157-4160. [12] Machida K, Kikuchi M. Viburnols: Six noveltriterpenoids from Viburnum dilatatum. Tetrahedron Lett, 1997, 38: 571-574.[13] Machida K, Kikuchi M. Studies on the Constituents ofViburnum Species. XIX. Six New Triterpenoids from Viburnum dilatatum Thunb. Chem Pharm Bull, 1999, 47: 692-694.[14] Iwai K, Onodera A, Matsue H, et al. Antioxidant activityand inhibitory effect of Gamazumi (Viburnum dilatatum THUNB.) on oxidative damage induced by water immersion restraint stress in rats. Int J. Food Sci Nutr, 2001, 52: 443-451.[15] Kim MY, Iwai K, Onodera A, et al. Identification andAntiradical Properties of Anthocyanins in Fruits of Viburnum dilatatum Thunb. J Agric Food Chem, 2003, 51: 6173-6177.[16] Woo YJ, Lee HJ, Jeong YS, et al. Antioxidant Potentialof Selected Korean Edible Plant Extracts. Bio Med Res Int, 2017, 2017: 1-9.[17] Iwai K, Kim MY, Akio O, et al. Alpha-glucosidaseinhibitory and antihyperglycemic effects of polyphenols in the fruit of Viburnum dilatatum Thunb. J Agric Food Chem, 2006, 54: 4588-4592.。
超声对动物蛋白结构及性质影响研究进展
邹宇欣,谢静雯,王洪涛,等. 超声对动物蛋白结构及性质影响研究进展[J]. 食品工业科技,2024,45(9):399−409. doi:10.13386/j.issn1002-0306.2023060247ZOU Yuxin, XIE Jingwen, WANG Hongtao, et al. Research Progress on the Effect of Ultrasound on Animal Protein Structure and Properties[J]. Science and Technology of Food Industry, 2024, 45(9): 399−409. (in Chinese with English abstract). doi:10.13386/j.issn1002-0306.2023060247· 专题综述 ·超声对动物蛋白结构及性质影响研究进展邹宇欣1,谢静雯1,王洪涛1,吴 越1,刘嘉涵1,刘思琦1,王跃猛2,李 鑫1,*(1.烟台大学生命科学学院,山东烟台 264005;2.烟台理工学院食品与生物工程学院,山东烟台 264003)摘 要:动物性蛋白主要来源于禽、畜及鱼类等的肉、蛋、奶。
动物蛋白营养价值高且应用广泛,但天然动物蛋白质的功能特性通常不能完全满足工业要求。
超声作为一项非热加工物理处理技术,它会导致动物蛋白理化性质及结构变化从而改善功能特性。
但目前关于超声对各种动物蛋白影响的联系和区别尚待研究。
因此,为明确超声处理对动物蛋白结构和性质的影响以及各自之间的联系和区别,本文主要从超声功率、超声时间和动物蛋白种类出发,对动物蛋白的理化性质、微观结构、界面性质和功能性质分别进行综述,解析了动物蛋白理化性质及微观结构的变化与其界面性质和功能性质的变化之间的关系,并对超声处理对动物蛋白的应用进行了讨论和展望,以期为后续超声处理在动物蛋白的应用和推广提供理论参考。
The Physical Properties and Photocatalytic Activit
J. Chem. Chem. Eng. 6 (2012) 744-747The Physical Properties and Photocatalytic Activity of Cu/TEA Doped TiO2-Nanoparticles Prepared by theSol-Gel ProcessWeerachai Sangchay*, Weerachai Mudtharak, Kuntapon Mahamad and Aurasa NamesaiFaculty of Industrials Technology, Songkhla Rajabhat University, Songkhla 90000, ThailandReceived: July 08, 2012 / Accepted: August 02, 2012 / Published: August 25, 2012.Abstract: Cu/TEA-doped TiO2 nanoparticles were prepared by the sol-gel process. Titanium (IV) isoproxide, copper (II) nitrate trihydrate and triethanolamine were used as precursors and calcined at a temperature of 400°C for 2 h with a heating rate of 10 °C/min to produce powders. Different interstitial amounts of TEA were added in the range of 0 mol% to 15 mol% of TiO2. The X-ray diffractrometer patterns show the TiO2 nanocomposites have a high anatase phase. It was also apparent that doped TEA has an effect on the crystallite size of TiO2 composite nanoparticles. The morphology of the composite powders was characterized by scanning electron microscope. The photocatalytic activity of Cu/TEA-doped TiO2 nanoparticles was evaluated through the degradation of methylene blue under UV irradiation. The results showed that 1 mol% TEA of TiO2 nanocomposites exhibited high photocatalytic activity and a small crystallite size.Key words: TiO2, Cu, TEA, nanoparticles, sol-gel.1. IntroductionTiO2 (Titanium dioxide) is widely used as a photocatalyst because it is photochemically stable, non-toxic and low cost [1]. However, the efficiency of the photocatalytic reaction is limited by the high recombination rate of photoinduced electron-hole pairs formed in photocatalytic processes and by the absorption capability of UV light of photocatalysts.In recent years, many studies have been devoted to the improvement of the photocatalytic efficiency of TiO2, for instance, depositing noble metals and doping metal or nonmetal ions[2]. Generally, the introduction of doped ions can result in the formation of a doping energy level between the conduction and valence bands of TiO2. In principle, it should be possible for the absorption of doped TiO2 to be extended into the UV region effectively.*Corresponding author: Weerachai Sangchay, Mr., research field:nanomaterials.E-mail:************************.Many approaches have been used to obtain TiO2 powders, including inert gas condensation [3], hydrothermal processing [4], solution combustion [5], and the sol-gel method [6, 7]. The sol-gel method has recently been developed as a general and powerful approach to preparing inorganic materials such as ceramics and glass. In this method, a soluble precursor molecule is hydrolyzed to form a colloidal dispersion (the sol). Further reactions cause bonds to form among the sol particles, resulting in an infinite network of particles (the gel). The gel is then typically heated to yield the desired material. This method for the synthesis of inorganic materials has a number of advantages over more conventional synthetic procedures. For example, high-purity materials can be synthesized at low temperatures [8, 9]. In addition, homogeneous multi-component systems can be obtained by mixing precursor solutions, which allow for the easy chemical doping of the materials prepared.In this paper, we report on the synthesis andAll Rights Reserved.The Physical Properties and Photocatalytic Activity of Cu/TEADoped TiO2-Nanoparticles Prepared by the Sol-Gel Process745characterization of Cu/TEA-doped TiO2 nanoparticles prepared by using a modified sol-gel method. Based on our previous studies, the amount of Cu was equal to 1 mol% of TiO2. The effects of physical properties, such as phase, morphology and crystallinity on the photocatalytic activity of the TiO2 powders are discussed in this paper.2. Experiments2.1 Raw MaterialsTitanium (IV) isoproxide (TTIP, 99.95%, Fluka Sigma-Aldrich), copper (II) nitrate trihydrate (Cu(NO3)2·3H2O) and triethanolamine (TEA, C6H15NO3) were used as raw materials. Ethanol (C2H5OH, 99.9%, Merck Germany) was used as a solvent.2.2 Sample Preparation•TiO2 (TP): 2 mol HNO3 was added drop-wise and stirred into a solution containing 10 mL TTIP in 150 mL ethanol to fix the pH at 3-4. The mixture was continuously stirred at room temperature until a clear and homogeneous solution was obtained;•TiO2/Cu (TC): A mixture composed of TTIP 10 mL, ethanol 150 mL, and Cu(NO3)2·3H2O 1 mol% of TiO2 was stirred for 15 min and 2 mol HNO3 were added to fix the pH at 3-4 and the mixture further stirred for 30 min.•TiO2/Cu/TEA (TCT): 1 mol%, 5 mol%, 10 mol% and 15 mol% of TEA samples were designated as TCT1, TCT5, TCT10 and TCT15, respectively,which were prepared in the same way as the TC;The three solutions were dried at 100 °C for 24 h until white TiO2 powders were obtained. Finally, the powders were ground using a mortar in order to reduce the agglomerations of grains and then calcined at 400 °C for 2 h with a heating rate of 10 °C/min.2.3 Materials CharacterizationThe morphology and particle size of the synthesized powders were characterized by SEM (scanning electron microscope) (Quanta400). The phase composition was characterized using an XRD (X-ray diffractometer) (Phillips X’pert MPD, Cu-K). The crystallite size was calculated by the Scherer equation, Eq. 1 [10].D = 0.9 λ/β cosθB(1) Where D is the average crystallite size, λ is the wavelength of the Cu Kα line (0.15406), θis the Bragg angle and βis the FWHM (full-width at half-maximum) in radians.2.4 Photocatalytic Activity TestPhotocatalytic activity was evaluated from an analysis of the photodegradation of methylene blue (MB) aqueous solution. MB solution having an initial concentration of 1 × 10-5 M was mixed with 0.0375 g of photocatalyst powder. The suspension was kept in the dark for 60 min to achieve adsorption/desorption equilibrium before being irradiated under a UV lamp (black light) of 50 W. The distance between the testing substrate and the light source was 32 cm. The photocatalytic reaction test was conducted in a dark chamber by UV irradiation times of 0, 1, 2, 3, 4, 5 and 6 h. After being centrifuged, the supernatant solutions were measured for MB absorption at 665 nm using a UV-vis spectrophotometer. The percentage degradation of the MB was calculated by Eq. (2) [11].Percentage of degradation = 100(C0-C)/C0 (2) Where C0 is the concentration of MB aqueous solution at the beginning (1 ×10-5 M) and C is the concentration of MB aqueous solution after exposure to a light source.3. Results and Discussion3.1 CharacterizationThe XRD patterns of the TiO2 powders in all cases calcined at 400 °C for 2 h at a heating rate of 10 °C/min demonstrated the anatase phases shown in Fig. 1. The Cu-compound phase could not be verifiedAll Rights Reserved.The Physical Properties and Photocatalytic Activity of Cu/TEA Doped TiO 2-Nanoparticles Prepared by the Sol-Gel Process746in these XRD peaks because of the very small amount of Cu doping and because of other organic matter being completely removed during calcination at 400 °C. The anatase phase fraction in the TiO 2 powders seemed to decrease with increases in the TEA doping. The crystallite sizes of the anatase phases are 44.2, 9.2, 16.5 21.7, 23.6, and 25.3 nm for TP, TC, TCT1, TCT5, TCT10 and TCT15, respectively. It was found that the crystallite size increases with increases in TEA doping due to the contribution of the TEA effect. The morphologies of the TC and TCT15 revealed by the SEM micrographs are shown in Fig. 2. All the samples had a similar morphology consisting of agglomerations of smaller particles.Fig. 1 XRD patterns of TiO 2 powders.3.2 Photocatalytic ActivityPhotocatalytic activity was evaluated using degradation of the MB solution under UV irradiation during 0-6 hours and the results are shown in Fig. 3. The TCT1 powder exhibits the best decomposition results under UV irradiation. After 6 hours of testing, the degradation percentage of the TCT1 powders shown in Fig. 4 under UV irradiation was 67.02% compared to those of the TP powders which were 30.05% due to the small crystallite size. It can be concluded that 1 mol% TEA is the best condition for Cu/TEA-doped TiO 2 nanoparticles producing a small crystallite size and a high degree of crystallinity of the anatase phase.Fig. 3 Photocatalytic activity of TiO 2 powders under UV irradiation.Fig. 2 SEM cross-sectional morphologies images of TiO 2 powders (magnification 60,000 ×).TC TCT15All Rights Reserved.The Physical Properties and Photocatalytic Activity of Cu/TEADoped TiO2-Nanoparticles Prepared by the Sol-Gel Process747Fig. 4 The degradation percentage of MB of TiO2 powders under UV irradiation.4. ConclusionsNanocomposite powders were prepared by the sol-gel process using pure TiO2, TiO2/Cu and TiO2/Cu doped with 1-15 mol% TEA and was calcined at a temperature of 400°C for 2 h with a heating rate of 10 °C/min. The physical properties and photocatalytic activity were investigated and concluded as followings, The XRD patterns showed that the TiO2 nanocomposites had a 100% anatase phase. The TiO2/Cu with 1 mol% TEA showed a high photocatalytic MB degradation rate of 67.02% under 6 h of UV irradiation.The addition of TEA affects the crystallinity of the anatase phase, resulting in good photocatalytic activity of the Cu/TEA-doped TiO2 nanoparticles.AcknowledgmentThe authors would like to acknowledge Department of Mining and Materials Engineering, Faculty of Engineering, Prince of Songkla University, Thailand for financial support of this research. References[1]Fujishima, A.; Rao, T. N.; Tryk, D. A. Titanium DioxidePhotocatalysis. J. Photochem. and Photobiol. 2000,C1,1-21.[2]Baifu, X.; Peng, W.; Dandan, D.; Jia, U.; Zhiyu, R.;Honggang, F. Effect of Surface Species on Cu-TiO2Photocatalytic Activity. J. Applied Surface Sci. 2008,254, 2569-2574.[3]Marcial, Z.; Tessy, L.; Ricardo, G.; Maximilinno, A.; Ruth,M. Acetone Gas Phase Condensation on Akaline MetalsDope TiO2 Sol-Gel Catalysts. J. Applied Surface Sci. 2005,252, 828-832.[4]Fanda, S.; Meltem, A.; Sadiye, S.; Sema, E.; Murat, E.;Hikmet, S. Hydrothermal Syhthesis, Characterization andPhotocatalytic Activity of Nanozied TiO2 Based Catalystsfor Rhodamine B Degradation. J. Chem. 2007,31,211-221.[5]Mimani, T.; Patil, K. C. Solution Combustion Synthesis ofNanoscale Oxides and Their Composites. Mater. Phys.Mech. 2001,4, 134-137.[6]Schmidt, H.; Jonschker, G.; Goedicke, S.; Mening, M. TheSol-Gel Process as a Basic Technology for Nanoparticle-Dispersed Inorganic-Organic Composites. J.Sol-Gel Sci. Tech. 2000,19, 39-51.[7]Xianfeng, Y.; Feng, C.; Jinlong, Z. Effect of Calcinationon the Physical and Photocatalytic Properties of TiO2Powders Prepared by Sol-Gel Template Method. J.Sol-Gel Sci. Tech. 2005,34, 181-187.[8]Jerzy, Z. Past and Present of Sol-Gel Science Technology.J. Sol-Gel Sci. Tech. 1997,8, 17-22.[9]Tianfa, W.; Jianping, G.; Juyun, S.; Zhongshen, Z.Preparation and Characterization of TiO2 Thin Films bythe Sol-Gel Process. J. Materials Sci. 2001,36,5923-5926.[10]Sangchay, W.; Sikong, L.; Kooptarnobd, K. Comparisonof Photocatalytic Reaction of Commercial P25 andSyntertic TiO2-AgCl Nanoparticles. J. Procedia.Engineering2012,32, 590-596.[11]Weerachai, S.; Lek, S.; Kalayanee, K. Phootocatalytic andSelf-Cleaning Properties of TiO2-Cu Thin Films on GlassSubstrate. J. Applied Mechanics and Materials2012,152-154, 409-413.All Rights Reserved.。
化学反应动力学(全套课件582P)
或 r 1 d[Ri ]
i dt
对于气相反应,也可用压力表示反应速率:
rP
1 a
dPA dt
1 b
dPB dt
1 c
dPC dt
1 d
dPD dt
或:
rP
1
i
dPRi dt
对于理想气体: Pi ci RT
化学反应动力学
课程属性: 学科基础课 学时/学分:60/3
教 材:
《 Chemical Kinetics and Dynamics 》 J. I. Steinfeld, et al, 1999 ( Prentice Hall )
参考书 :
1《化学反应动力学原理》(上、下册) 赵学庄编 (高等教育出版社)
k = 2×104
k = 1×10-2
§1-2 反应速率的定义
( Definition of the Rate of a Chemical Reaction ) 若一个反应的化学计量式如下:
(1) a A + b B c C + d D 或写为: (2) 0 = iRi
式(2) 中,
Ri:反应物和产物。 i: 化学计量系数, 它对于反应物为负,
1 给定乙醛的初始浓度, 测定不同反应时间 的反应速率及乙醛浓度,从而确定反应的 反应级数。
则反应速率 与[CH3CHO]的平方成正比, 即称其时间级数为二级的。
2 以乙醛的不同初始浓度进行实验, 测 定不同初始浓度下的反应速率,从 而确定反应级数。
则反应速率与乙醛的初始浓度的一 次方成正比,即称其浓度级数为一 级的。
高三英语科学前沿动态单选题30题
高三英语科学前沿动态单选题30题1. In the latest scientific experiment, the researchers found that the substance reacts ______ with certain chemicals.A. stronglyB. weaklyC. rapidlyD. slowly答案:A。
本题考查副词的词义辨析。
A 选项“strongly”表示“强烈地”,符合实验中物质反应的程度;B 选项“weakly”表示“微弱地”,与实验情况不符;C 选项“rapidly”侧重速度快;D 选项“slowly”侧重速度慢,均不符合物质与化学物质反应的强度描述。
2. The new scientific experiment aimed to discover how the cells ______ under extreme conditions.A. behaveB. behavesC. behavingD. to behave答案:A。
本题考查动词形式。
“how the cells behave”是宾语从句,从句中主语“the cells”是复数,谓语动词用原形,A 选项正确;B 选项“behaves”是第三人称单数形式,错误;C 选项“behaving”是现在分词形式,不能作谓语;D 选项“to behave”是动词不定式,不能作谓语。
3. During the scientific experiment, they observed that thetemperature ______ steadily.A. roseB. risesC. is risingD. has risen答案:A。
本题考查时态。
“During the scientific experiment”是过去的时间段,要用一般过去时,A 选项“rose”是过去式,正确;B 选项“rises”是一般现在时的第三人称单数形式;C 选项“is rising”是现在进行时;D 选项“has risen”是现在完成时,均不符合过去时间段的语境。
Relationship between thermodynamics and dynamics of supercooled liquids
Relationship between thermodynamics and dynamics of supercooled liquidsJeetain Mittal1, Jeffrey R. Errington2, & Thomas M. Truskett1,31Department of Chemical Engineering, The University of Texas at Austin, Austin, TX2Department of Chemical & Biological Engineering, University at Buffalo, The State University of New York, Buffalo, NY3Institute for Theoretical Chemistry, The University of Texas at Austin, Austin, TX[to appear in Journal of Chemical Physics]Diffusivity, a measure for how rapidly a fluid self-mixes, shows an intimate, but seemingly fragmented, connection to thermodynamics. On one hand, the “configurational” contribution to entropy (related to the number of mechanically-stable configurations that fluid molecules can adopt)1 – has long been considered key for predicting supercooled liquid dynamics near the glass transition2. On the other hand, the excess entropy (relative to ideal gas) provides a robust scaling for the diffusivity of fluids above the freezing point3-6. Here we provide, to our knowledge, the first evidence that excess entropy also captures how supercooling a fluid modifies its diffusivity, suggesting that dynamics, from ideal gas to glass, is related to a single, standard thermodynamic quantity.Several theories of the glass transition are based upon the idea that supercooled liquids vitrify when their configurational entropy vanishes1,7-9. Moreover, experiments10,11 and computer simulations12-14 reveal a quantitative link between dynamics and configurational entropy in supercooled liquids, a prediction of Adam-Gibbs theory of structural relaxation2. However, the configurational entropy loses relevance at high temperature, and it does not generally correlate with dynamics far above the freezing transition. As a result, it cannot provide a comprehensive description of liquid-state diffusivity. On the other hand, the excess entropy, a fundamental thermodynamic quantity which captures the correlations between particles due to their finite volumes and mutual interactions, does capture the diffusivity of equilibrium fluids3-6. If excess entropy turns out to also describe supercooled liquid dynamics, which is the issue we investigate here via computer simulations, then the relationship between thermodynamics and dynamics will be much simpler than previously anticipated.We first examine the behavior of a “core-softened” fluid15 that belongs to a larger class of model potentials known to reproduce many of liquid water’s distinctiveproperties 15,16. In particular, we perform simulations for a broad range of thermodynamic conditions where the model displays pronounced increases in self-diffusivity D upon isothermal compression, a well-known experimental signature of supercooled liquid water’s dynamics 16. Figure 1(a, b) shows that the excess entropy s ex and diffusivity D of this fluid have strikingly similar dependencies on density ρ for a wide range of temperatures T . In fact, when plotted along curves of constant ρ (Figure 1(c)), we find ex exp[()]D A s ρ∝, where ()A ρ is a T -independent parameter. Fig 2 shows that this robust scaling is also exhibited by a model binary alloy 12 for conditions where it displays many of the experimental characteristics of fragile supercooled liquids 12,17,18. This is a stringent test since this alloy has become one of the most well-characterized model glass-formers.Adam-Gibbs theory predicts a different form of exponential relationship between D and configurational entropy s C , exp[()/()]C D B Ts ρ∝−, where ()B ρ is a T -independent parameter. Since Adam-Gibbs relationship can adequately describe the diffusivity for many liquids near the glass transition, it is natural to ask whether ex s and1()C Ts −− contain the same thermodynamic information about the supercooled fluid.Indeed, the inset of Figure 2 demonstrates that these quantities are linearly related (at constant ρ) for the binary alloy 12,18 over all conditions for which data is available.The results presented here represent, to our knowledge, the first evidence that ex s , which provides a scaling for the diffusivity of simple equilibrium fluids 3-6, also captures supercooled liquid dynamics. Moreover, since ex s is a standard thermodynamic quantity that can be approximated based on structural data from, e.g., scattering experiments 19, it also promises to provide the elusive link between structure and dynamics 20 of the liquid state.We thank Srikanth Sastry, Pablo Debenedetti, and Frank Stillinger for their useful comments on an earlier version of the manuscript. Two of the authors (TMT and JRE) acknowledge the financial support of the National Science Foundation Grants No. CTS-0448721 and CTS-028772, respectively, and the Donors of the American Chemical Society Petroleum Research Fund Grants No. 41432-G5 and 43452-AC5, respectively. One of the authors (TMT) also acknowledges the support of the David and Lucile Packard and the Alfred P. Sloan Foundations. The Texas Advanced Computing Center (TACC) and the University at Buffalo Center for Computational Research provided computational resources for this study.1 P. G. Debenedetti and F. H. Stillinger, Nature 410, 259 (2001).2 G. Adam and J. H. Gibbs, J. Chem. Phys. 43, 139 (1965).3 Y. Rosenfeld, Phys. Rev. A 15, 2545 (1977).4 Y. Rosenfeld, J. Phys.: Condens. Matter 11, 5415 (1999).5 M. Dzugutov, Nature 381, 137 (1996).6 J. Mittal, J. R. Errington, and T. M. Truskett, Phys. Rev. Lett. 96, 177804 (2006).7 J. H. Gibbs and E. A. di Marzio, J. Chem. Phys. 28, 373 (1958).8 X. Xia and P. G. Wolynes, Proc. Nat. Acad. Sci. USA 97, 2990 (2000).9 M. Mezard and G. Parisi, Phys. Rev. Lett. 82, 747 (1999).10 L.-M. Martinez and C. A. Angell, Nature 410, 663 (2001).11 R. A. Richert and C. A. Angell, J. Chem. Phys. 108, 9016 (1998).12 S. Sastry, Nature 409, 164 (2001).13 A. Scala, F. W. Starr, E. La Nave, F. Sciortino, and H. E. Stanley, Nature 406, 166 (2000).14 I. Saika-Voivod, P. H. Poole, and F. Sciortino, Nature 412, 514 (2001).15A. B. de Oliveira, P. A. Netz, T. Colla, and M. C. Barbosa, J. Chem. Phys. 124, 084505 (2006).16 G. Franzese, G. Malescio, A. Skibinsky, S. V. Buldyrev, and H. E. Stanley, Nature 409, 692 (2001); Z. Yan, S. V. Buldyrev, N. Giovambattista, and H. E. Stanley, Phys. Rev. Lett. 95, 130604 (2005).17 W. Kob and H. C. Anderson, Phys. Rev. E 51, 4626 (1995).18 S. Sastry, Phys. Rev. Lett. 85, 590 (2000).19 R. E. Nettleton and M. S. Green, J. Chem. Phys. 29, 1365 (1958); H. J. Raveché, J. Chem. Phys. 55, 2242 (1971); A. Baranyai and D. J. Evans, Phys. Rev. A 40, 3817 (1989).20 J. Mittal, J. R. Errington, and T. M. Truskett, in preparation.21 J. R. Errington, J. Chem. Phys. 118, 9915 (2003).Email addresses: jeetain@, jerring@, truskett@ (corresponding author)Figure CaptionsFIGURE 1. (a, b) Excess entropy and diffusivity versus density obtained frommolecular dynamics simulations of 1000 particles interacting via a “core-softened” potential (i.e., a Lennard-Jones potential plus a Gaussian repulsion; for details, see Reference 15). Symbols are simulation data, and curves are guides to the eye. The quantities are reported in reduced units of *B /T k T ε=, *3ρρσ=, *21/2(/)D D M εσ=, where B k is the Boltzmann constant; T is the temperature; ε is the energy scale of the potential; ρ is the number density; σ is the particle diameter; and M is the particle mass. The excess entropy ex s has been calculated using transition-matrix Monte Carlo simulations 6,21. (c) Diffusivity versus excess entropy for the data shown in (a, b) along paths of constant ρ (symbols). Symbols are simulation data, and lines reflect the form ex exp[()]D A s ρ∝.FIGURE 2. Diffusivity versus excess entropy for different density states of abinary Lennard-Jones alloy 12,18. Excess entropy has been obtained from the semi-empirical free energy expression reported in Ref. 18, and diffusivity has been extracted from the Figure 3 in Ref. 18. The lines reflect the form ex exp[()]D A s ρ∝. The inset shows the linear dependence between excess entropy and the inverse product of temperature and configurational entropy, C 1/Ts , the latter extracted from Figure 2 in Ref.12. The quantities are reported in the same reduced units as in Figure 1.Figure 1. Mittal, Errington, & Truskett (2006)Figure 2. Mittal, Errington, & Truskett (2006)。
生物学英语复试题及答案
生物学英语复试题及答案一、选择题1. Which of the following is not a characteristic of living organisms?A. Growth and developmentB. ReproductionC. ResponsivenessD. Inertia2. What is the basic unit of life?A. CellB. TissueC. OrganD. Organ system3. What is the process of photosynthesis?A. The conversion of light energy into chemical energyB. The conversion of chemical energy into light energyC. The conversion of heat energy into chemical energyD. The conversion of chemical energy into heat energy4. What is the primary function of chlorophyll in plants?A. To absorb light energyB. To store chemical energyC. To release oxygenD. To produce water5. What is the main component of the cell membrane?A. ProteinsB. LipidsC. CarbohydratesD. Nucleic acids二、填空题6. The genetic material of all living organisms is either__________ or __________.7. The process by which organisms adapt to their environment is called __________.8. In eukaryotic cells, the organelles that are responsible for energy production are __________.9. The basic structural and functional unit of a protein is the __________.10. The process of an organism developing from a fertilized egg into a mature individual is known as __________.三、简答题11. Explain the role of DNA in the cell.12. Describe the process of cellular respiration.13. What are the main differences between prokaryotic and eukaryotic cells?四、论述题14. Discuss the importance of biodiversity and the threats itfaces.五、翻译题15. Translate the following sentence into English:“细胞分裂是生物体生长和发育的基本过程。
2011最新纳米粒子的成核及生长机理综述
/CRNucleation and Growth of Nanoparticles in the AtmosphereRenyi Zhang,*,†,‡,§Alexei Khalizov,†Lin Wang,‡Min Hu,§and Wen Xu††Department of Atmospheric Sciences and Department of Chemistry,Center for Atmospheric Chemistry and Environment,Texas A&M University,College Station,Texas77843,United States‡Department of Environmental Science&Engineering and Institute of Global Environment Change Research,Fudan University, Shanghai200433,China§State Key Laboratory of Environmental Simulation and Pollution Control,College of Environmental Sciences and Engineering, Peking University,Beijing,100871,ChinaCONTENTS1.Introduction B2.Overview of Vapor Nucleation D2.1.Nucleation Theories and ComputationalApproaches D2.1.1.Classical Nucleation Theory D2.1.2.Kinetic Theories F2.1.3.Molecular Dynamics and Monte CarloMethods F2.1.4.Density Functional Theory G2.1.5.Nucleation Theorem G2.2.Nucleation Experiments H2.2.1.Adiabatic Expansion Approaches H2.2.2.Diffusion Chamber H2.2.minar Flow Chamber I2.2.4.Turbulent Mixing Chamber I2.2.5.Continuous Generation of NucleatingVapors from Chemical Reaction sources Iparison between ExperimentalResults and Nucleation Theories I 3.Nucleation of Nanoparticles in the Atmosphere K3.1.Atmospheric Measurements K3.1.1.Concentrations and Size Distributions ofAtmospheric Nanoparticles L3.1.2.Chemical Composition of AtmosphericNanoparticles M3.1.3.Measurements of Charged and NeutralAtmospheric Clusters Pboratory Studies R3.2.1.Binary Nucleation of H2SO4ÀH2O R3.2.2.Ternary Nucleation of H2SO4ÀH2O Involv-ing Ammonia and Amines T3.2.3.Nucleation of H2SO4ÀH2O Assisted byOrganic Acids U3.2.4.Nucleation of Iodine Oxides W3.2.5.Ion-Induced Nucleation X3.2.6.Chemical Composition,Reactivity,andThermodynamics of Nucleating Clusters Y3.2.7.Other Species AA3.3.Theoretical and Computational Studies AA3.3.1.Quantum Chemical Calculations AA3.3.2.Molecular Dynamics and Monte CarloSimulations AD3.4.Parameterizations of AtmosphericNucleation AF 4.Growth of Nanoparticles in the Atmosphere AG4.1.Role of the Kelvin(Curvature)Effect in Growthof Nanoparticles AH4.2.Condensation AI4.2.1.Condensation of Sulfuric Acid AI4.2.2.Condensation of Low-VolatilityOrganics AI4.3.Heterogeneous Reactions AJ4.3.1.Ammonia AJ4.3.2.Amines AJ4.3.3.Aldehydes AL4.3.4.α-Dicarbonyls AM4.3.5.Alcohols AN4.3.6.Other Species AO5.Numerical Treatment of Ambient NanoparticleNucleation and Growth Rates AP5.1.Measured Nucleation and Growth Rates AP5.2.Condensation Sink of Low-Volatility Vapor APbined Growth Including Condensationand Intramodal/Extramodal Coagulation AP5.4.Derivation of Nucleation Rates fromAtmospheric Measurements AQ 6.Summary and Future Research Needs AR Author Information AS Biographies AS Acknowledgment AT Glossary of Acronyms AT References AT Received:May17,20111.INTRODUCTIONThis review intends to critically assess recent findings related to nucleation and growth of atmospheric nanoparticles,with an emphasis on the understanding of these processes at a funda-mental molecular level.Aerosols (small particles suspended in air)can be directly emitted into the atmosphere from primary sources or be formed in the atmosphere through nucleation of gas-phase species.Aerosol nucleation events produce a large fraction of atmospheric aerosols.New particle formation occurs in two distinct stages,1i.e.,nucleation to form a critical nucleus and subsequent growth of the critical nucleus to a larger size (>2À3nm)that competes with capture and removal of the freshly nucleated nanoparticles by coagulation with pre-existing aerosols.Nucleation is generally de fined as creation of molecular embryos or clusters prior to formation of a new phase during the transformation of vapor f liquid f solid.This process is char-acterized by a decrease in both enthalpy and entropy of the nucleating system (i.e.,ΔH <0and ΔS <0).Hence,although thermodynamically favorable according to the first law of thermo-dynamics,(i.e.,exothermic)nucleation is hindered in entropy according to the second law of thermodynamics.A free energy barrier,ΔG (ΔG =ΔH ÀT ΔS >0),is often involved and needs to be surmounted before transformation to the new phase becomes spontaneous.Another major limitation in the nucleation and growth of atmospheric nanoparticles lies in signi ficantly elevated equilibrium vapor pressures above small clusters and nanoparti-cles,also known as the Kelvin (curvature)e ffect,which considerably restricts growth of freshly nucleated nanoparticles.Formation of molecular clusters occurs through random collisions and rearrangements of atoms or molecules of the existing phase (Figure 1a).Growth of a cluster can be repre-sented as a reversible,stepwise kinetic process.After reaching a critical size (the critical cluster or nucleus),further growth of the cluster becomes spontaneous.At each step,formation and decomposition of a cluster can be described by fundamental kinetic rate theories.A cluster can form homogeneously within the original phase or heterogeneously on various irregularities,such as pre-existing small particles or ions,which assist in surmounting the free energy barrier associated with formation of an interfacebetween the small cluster of the new phase and the original phase (Figure 1b).The lifetime of clusters is extremely short,but since a very large number of clusters form and dissociate at any time,a few can reach the critical size and continue to grow sponta-neously to form larger particles.Atmospheric nucleation of aerosols from vapors 1,2is,in principle,analogous to that of freezing of liquids,3crystallization of supersaturated solutions,4and formation of vapor bubbles inside the bulk liquid;5all proceed by the same basic mechanism.The common feature of the nucleation process is that there exists a dividing surface 6,7at the critical nucleus that separates the properties of the original and new phases.From an energetic perspective,the free energy of cluster formation,ΔG ,increases with cluster size prior to but decreases after the critical nucleus,reaching a maximal value at the critical size,i =i *.Hence,the critical nucleus can be identi fied if the free energy surface leading to cluster growth is available 6ð∂ΔG =∂i Þi ¼i ü0:ð1:1ÞThe properties of the critical nucleus are central to nucleation theory.The rate at which nucleation occurs is related to the chemical makeup of the critical nucleus and the gaseous con-centrations of the nucleating species and is an important variable in simulations of aerosol formation in atmospheric models.1Nucleation from the vapor phase is homomolecular when a single type of a gas is involved in formation of a critical nucleus and heteromolecular when several types of gases are involved in formation of a critical nucleus.In the absence of existing heterogeneities,homomolecular nucleation requires an extre-mely high supersaturation.For instance,homogeneous nuclea-tion of pure water vapor requires a supersaturation of a few hundred percent.Since such a condition is hardly realized in the atmosphere,homomolecular nucleation of water vapor,leading to formation of cloud droplets,is always heterogeneous in nature,taking place on pre-existing water-soluble seeds,i.e.,cloud condensation nuclei (CCN).In fact,clouds would have never formed in the Earth ’s atmosphere in the absence of CCN.Homogeneous nucleation of atmospheric nanoparticles,the focus area of this review,is always heteromolecular,involving two (binary),three (ternary),orpossibly more mutually interactingFigure 1.Schematic representation of the transformation from the molecular complex through the critical nucleus to 2À3nm nanoparticle (top)and associated free energy variation (bottom).(Reprinted with permission from ref 1.Copyright 2010American Association for the Advancement of Science.)vapors (multicomponent).The abundance,volatility,and reac-tivity likely determine the potential of a chemical species as a nucleation precursor.Atmospheric aerosol formation is closely linked with the gas-phase chemistry because the abun-dances required for nucleation to occur are achieved through a gradual increase in the concentration of the nucleating vapors produced from photo-oxidation of atmospheric gases,such as sulfur dioxide and volatile organic compounds (VOCs),includ-ing many saturated,unsaturated,or aromatic hydrocarbons,SO 2þOH f O 2,H 2OH 2SO 4ð1:2ÞVOCs þOH f O 2oxidized organicsð1:3ÞThe most common nucleating species is sulfuric acid because of its low vapor pressure at typical atmospheric temperatures,which is further reduced in the presence of water due to the large mixing enthalpy of these two substances.8À10The pre-sence of gaseous H 2SO 4in concentrations exceeding 105molecules cm À3has been shown as a necessary condition to observe new particle formation in the atmosphere.11,12In addition to sulfuric acid,a number of other nucleating pre-cursors,including atmospheric ions,ammonia,amines,organic acids,and iodine oxides,have been proposed to be involved in formation of the critical nucleus under di fferent ambient environments.The size and chemical make up of atmospheric critical nuclei are not well-known presently,because of the lack of existing analytical methods to directly probe the critical nucleus.Indirect measurements and theoretical calculations suggest that the critical nucleus has a diameter on the order of 1nm and consists of a relatively small number of molecules held together by noncovalent van der Waals (vdW)interactions.Since the molecules of known nucleating vapors possess a signi ficant dipole moment and/or contain a hydrogen atom connected with an electronegative atom (nitrogen or oxygen),electrostatic,polarization,and hydrogen-bonding interactions have been recognized to play a signi ficant role in formation of the smallest clusters.As clusters grow,proton transfer from an acid moiety (e.g.,H 2SO 4)to a base moiety (e.g.,H 2O or NH 3)becomes possible because the resulting ion pair is stabilized by interactions with surrounding polar molecules (e.g.,H 2O)within the cluster.Formation of an ion pair can signi ficantly increase the nucleation rate by reducing the free energy of the critical nucleus.However,current understanding of the role of proton transfer and other possible chemical processes in the nucleation of atmospheric clusters is still inadequate.Aerosol nucleation events,which are re flected as episodes with very high concentrations (up to 104particle cm À3or higher)of nanoparticles generated in a short period of time,are frequently observed in the free troposphere and under remote,urban,forested,and marine environments of the lower troposphere.Thermodynamically stable larger clusters and small nanoparti-cles formed during a nucleation event need to grow quickly so that they are not scavenged by coagulation through collisions with existing larger particles.The surface of pre-existing particles also acts as a condensation sink for nucleating vapors,reducing their concentration and inhibiting nucleation.Whereas conden-sation of low-volatility vapors and reversible partitioning of semivolatile vapors are commonly recognized as the major contributors to growth of aerosols,the role of heterogeneous chemical reactions between gas-phase chemical compounds andparticles is not well understood and is a subject of intensive research.13When reaching a size of about 50À100nm,aerosols become e fficient light scatterers and CCN.14Overall,during the atmospheric lifetime,the size of particles may vary over 5orders of magnitude,from a lower limit of about 1nm corresponding to stable molecular clusters to an upper limit of about 1mm for cloud droplets.Growth of nanoparticles driven by condensation,partitioning,heterogeneous chemical reactions,and coagulation is another focus area of this review.Atmospheric aerosols have profound impacts on the Earth Àatmosphere system,in fluencing the weather,climate,atmo-spheric chemistry and air quality,ecosystem,and public health.15Those particles cool the atmosphere by directly scattering a fraction of the incoming solar radiation back to space,an e ffect commonly referred to as direct climate forcing.By acting as CCN and ice nuclei (IN),aerosols play an important role in controlling cloud formation,development,and precipitation,impacting the albedo,frequency of occur-rence,and lifetime of clouds on local,regional,and global scales,16À21which is often referred to as indirect climate forcing.Presently,the aerosol direct and indirect e ffects represent the largest uncertainty in climate predictions.22Also,chemical reactions occurring on the surface or in the bulk of aerosols 23,24may alter the properties of aerosols and the gaseous composition of the atmosphere.For example,hetero-geneous reactions on particle surfaces convert inactive chlorine species into photochemically active forms in the middle atmo-sphere (between 20and 50km altitudes),leading to depletion of stratospheric ozone,25À35which acts as a UV shield.In the lower atmosphere (below 20km),particle-phase reactions can modulate formation of tropospheric ozone,36À41which is a key criteria air pollutant.On the regional and local scales,fine particulate matter (i.e.,aerosols smaller than 2.5μm or PM 2.5)represents a major contributor to air pollution.42Elevated concentrations of PM 2.5cause degradation in visibility,exacer-bate accumulation of pollutants in the planetary boundary layer (PBL),and adversely a ffect human health.43Increasing evi-dence has implicated aerosols not only in aggravation of existing health symptoms but also in the development of serious chronic diseases.44When inhaled,aerosols can amplify the adverse e ffect of gaseous pollutants,such as ozone,45and the smallest particles cause the most severe health impacts 46because they have higher probability than larger particles to deposit in the pulmonary region and penetrate into the bloodstream.47,48Several previous review articles have provided a detailed account of di fferent aspects of new particle formation in the atmosphere,including field measurements of atmospheric aero-sols and nucleation events,49À51coastal new particle formation,52the relation between laboratory,field,and modeling nucleation studies,53,54and the role of di fferent types of nucleation processes in the atmosphere.55Over the past few years,there has been substantial research progress in the area of atmospheric aerosol nucleation,including development of novel detection methods for atmospheric nanoparticles and clusters,as summarized in a recent review by Bzdek and Johnston.56Advances in analytical instruments have led to a number of laboratory and field studies that produced exciting yet often contradictory results regarding the compositions of the critical nucleus and the role of sulfuric acid and other species in the nucleation and growth of nanoparticles.57À61In the present review,we first provide the background information on theoretical and experimental ap-proaches toward investigation of homogeneous vapor nucleationand then introduce recent advances in nucleation and growth of atmospheric nanoparticles.Throughout this review,we strive to present the various nucleation aspects from a fundamental chemical prospective.Since there is a vast body of literature in the area of atmospheric aerosol nucleation,we do not attempt to be inclusive to cover all available publications on this subject.Instead,we choose in this review to focus on the studies that make the most important advances in this field.In section 2,we introduce the nucleation theories and illustrate how the predicted nucleation rates are related with results of laboratory experiments for a number of simple nucle-ating systems.Nucleation of atmospheric aerosols,including ambient measurements,laboratory experiments,and theoretical studies,is described in section 3.Results of laboratory experi-ments and ambient measurements of nanoparticle growth are presented in section 4,and section 5provides the numerical approaches developed to connect measured aerosol nucleation and growth rates.Section 6contains the concluding remarks and describes future research needs.A glossary of acronyms is provided at the end of the review.2.OVERVIEW OF VAPOR NUCLEATION2.1.Nucleation Theories and Computational ApproachesIn the absence of heterogeneities,formation of a new phase occurs through random fluctuations in the vapor density,generating clusters that can grow or decay by gaining or losing a monomer molecule.Growth of the cluster can be represented by a reversible,stepwise kinetic process in a single or multicomponent system:::C s f þA i À1,k þi À1i À1r s k ÀiC Ãs fþA i ,k þi i r s k Ài þ1C i þ1:::ð2:1Þwhere A i À1denotes a monomer species to be added to the clusterC i À1at the (i À1)th step and k i Àand k i +represent the cluster decomposition and association rate constants,respectively.A complete nucleation theory can be established to describe the evolution of the population of clusters,i.e.,the rates and mechanism by which these clusters grow and decay.As re flected by equation 1.1,the free energy of the nucleating system reaches a maximum (i.e.,the nucleation barrier)when the critical nucleus forms.In addition,a multicomponent system may exhibit multiple nucleation barriers,leading to further complication in the identi fication of the critical nucleus on the basis of the free energy surface of the cluster growth.Kinetically,at the critical nucleus,the rate to form the (i +1)th cluster is equal to that of decomposition of the critical nucleus to form the (i À1)th cluster,i.e.k Ài ½C Ãi ¼k þi ½A i ½C Ãið2:2Þwhere [A i ]and [C i ]are the number concentrations of the associating monomer and the cluster of size i ,respectively.Furthermore,since the molecular flux between adjacent clusters achieves the minimum at the critical nucleus (commonly referred to as a bottleneck 7),another practical approach to locate the critical nucleus is to variationally minimize the molecular flux as a function of the cluster site d F i =d i ¼0ð2:3Þwhere F i is the number of clusters growing from a size i to a size i +1per second.The rate of nucleation,J ,is de fined as the rate of growth of the critical nucleusJ ¼k i þ½C i Ãð2:4ÞThe association and decomposition rate constants can be calculated employing the kinetic rate theories,such as transition state theory (TST).62For each cluster,the association rate is related to the dissociation rate by detailed balance 63À70k þi À1k Ài ¼Q C Ãi Q C i À1Q A i À1exp D C ÃikT ð2:5Þwhere Q C i *is the partition function of the critical nucleus,Q C i À1andQ A i À1are the partition functions of the respective (i À1)th cluster and monomer,k is the Boltzmann constant,T is the temperature,and D C i *is the binding energy of the critical nucleus relative to monomer and (i À1)th cluster.The decomposition rate constant of each cluster can be calculated according to the following expression 63À70k Ài ¼kT h Q qC ÃiQ C Ãi exp ÀΔE kT ð2.6Þwhere Q C i *q is the partition function of the transition state,h is the Planck constant,and ΔE is the transition state energy relative to the critical nucleus.In the case that the association reaction proceeds without an activation barrier (a loose transition state),the location of the transition state can be determined variationally by minimizing the decomposition reaction rate constant using canonical variational transition state theory (CVTST).71The partition functions required for eqs 2.5and 2.6can be evaluated by treating the rotational and translational motion classically and treating vibrational modes quan-tum mechanically.Vibrational frequencies,moments of inertia,and reaction energies can be taken from quantum chemical calculations.72An example of such an approach is the dynamical nucleation theory (DNT)of Kathmann et al.,73À75which uses CVTST to locate transition states and calculate evaporation rate constants k i Àfor each stage of the nucleation process.Depending on the assumptions and approximations made,three major types of theoretical approaches have been estab-lished to characterize the nucleation process.Phenomenological theories,e.g.,classical nucleation theory,attempt to obtain the free energy of formation of the critical nucleus from macroscopic parameters,such as the surface tension and the bulk liquid density.Some kinetic theories derive the cluster distribution and hence the nucleation rate by calculating rate constants for association and decomposition of clusters,avoiding explicit evaluation of cluster formation energies from macroscopic parameters.Molecular-scale approaches,including molecular dynamics,Monte Carlo simula-tions,and density functional theory,apply first principles to calculate the cluster structure and free energy of cluster formation.2.1.1.Classical Nucleation Theory.The classical nuclea-tion theory (CNT)was formulated by Becker and D €o ring 76and Frenkel 77on the basis of the kinetic theory of nucleation established by the work of Volmer and Weber 78and Farkas.79CNT includes the thermodynamic and kinetic components by evaluating the free energy change of formation of a nascent phase cluster and calculating the nucleation rate.The phenomenologi-cal approach to CNT describes the nucleation process in terms of the change in Gibbs free energy of the system upon transfer of i molecules from the vapor phase to an i -mer cluster of radius r ΔG ¼ÀikT ln S þ4πr 2σð2.7Þwhere S =p A /p A S is the saturation ratio,p A is the vapor pressure of substance A in the gas phase,p A S is the vapor pressure ofsubstance A over a flat surface of the corresponding liquid,and σis the surface tension.Although the cluster may consist of only a few molecules,it is assumed to have sharp boundaries and the same physical and chemical properties as the bulk phase (capillarity approximation).For a spherical cluster,the number of molecules i can be explicitly related to its radius i =(4/3)πr 3/v l ,where v l is the volume of a single molecule in liquid.Equation 2.7is one of the forms of the Kelvin equation,which expresses the ele-vation in the saturation vapor pressure above a curved surface,such as the interface between a small liquid droplet and surrounding air.The free energy change of the cluster formation given by the right-hand side of eq 2.7consists of two terms.The first term represents the energy decrease upon the transition from vapor to liquid and may be either negative or positive,depending on the vapor saturation ratio.The second term,which is related to the excess of the free energy at the liquid/vapor interface,is always positive.When vapor is subsaturated (S <1),the free energy of cluster formation is always positive and condensation is prohib-ited (Figure 2).If the system is supersaturated (S >1),the free energy term is negative,favoring condensation of vapor mol-ecules and growth of the embryonic droplet.For very small particles,the increase in the free energy due to formation of the new surface area dominates over the free energy decrease from bulk phase formation,resulting in an energy barrier to nucleation.For droplets with size greater than the critical radius r *,the condensation term dominates,leading to a decrease in ΔG as shown in Figure 2.The free energy of cluster formation ΔG reaches a maximum at r *,and the location of the critical nucleus can be determined by di fferentiation of eq 2.7with respect to r r ü2σv l kT ln Sð2.8ÞThe corresponding number of molecules i *at the critical size and free energy barrier height ΔG *are given in the following relations i ü32πσ3v 2l 3ðkT ln S Þ3ð2.9ÞΔG ü4π3σr Ã2¼16π3σ3v 2l ðkT ln S Þ2ð2.10ÞThe critical nucleus at the top of the ΔG curve is in a metastableequilibrium with the vapor.If a single molecule is removed from the critical nucleus,the free energy decreases and the cluster decomposes.If a molecule is added to the critical nucleus,the freeenergy also decreases and the cluster continues to grow sponta-neously.The nucleation rate J can be de fined as the number of clusters that grow past the critical size per unit volume per unit timeJ ¼J 0exp ÀΔG ÃkTð2.11Þwhere J 0is the pre-exponential factor typically determined from gas Àkinetic considerations.The nucleation rate has a negative exponential dependence on the height of the free energy barrier.An increasing saturation ratio decreases the critical nucleus size and the height of the free energy barrier,resulting in a faster nucleation rate (eqs 2.10and 2.11).Classical nucleation theory can be applied to nucleation of multicomponent vapors.When several molecular species parti-cipate in nucleation,the chemical composition of the critical nucleus,which is usually di fferent from the vapor composition,becomes an additional degree of T of binary homogeneous nucleation is first introduced by Flood 80and further developed by Reiss.81The free energy change,ΔG*(i 1,i 2),associated with formation of a critical nucleus from binary vapor depends on the concentrations of molecules of both components,i 1and i 2.The critical nucleus is located at the saddlepoint on the ΔG*(i 1,i 2)surface and corresponds to the smallest cluster for which growth by addition of another mole-cule of vapor of either component is a spontaneous process.An alternative kinetic formulation of the classical nucleation theory can be obtained for cluster formation and dissociation corresponding to reaction 2.1d ½C i d t¼k þi À1½C i À1 ½A i À1 Àk Ài ½C i Àk þi ½C i ½A i þk Ài þ1½C i þ1ð2:12ÞIn the steady state,the concentrations of clusters of di fferent sizes are independent of time and the net rate,at which clusters C i become C i +1,is constant for all i .This simpli fication reduces the problem of calculating the nucleation rate to the derivation of the association and decomposition rate constants.82Whereas the association rate constant k i +can be calculated from first princi-ples,usually assuming that it is the gas Àkinetic collision rate,the decomposition rate k i Àrequires evaluation of the cluster stability,typically from the free energy change of cluster formation,based on the properties of bulk solutions.83For this reason,not only the resulting nucleation rate derived by the kinetic approach takes a general form given by eq 2.11but also it is exactly equivalent to the nucleation rate obtained within the framework of the phenomenological approach.The advantage of CNT lies in its simplicity.The CNT approach provides closed analytical expressions for the critical saturation and nucleation rate based on the free energy of critical nucleus formation derived from measurable bulk properties,readily available for many substances.Although CNT allows estimation of critical supersaturations reasonably well,it fails frequently,by many orders of magnitude,in reproducing mea-sured nucleation rates for a broad range of substances and experimental conditions.Speci fically,the nucleation rates are underestimated at low temperatures and overestimated at high temperatures,84and critical supersaturations are signi ficantly underestimated for strongly associated vapors,such as organic carboxylic acids.85One of the majorreasons for the poorFigure 2.Gibbs free energy change for formation of a droplet of radius rfrom unsaturated (S <1)and supersaturated (S >1)vapor;ΔG *corresponds to a critical nucleus of radius r *.。
机电一体化技术英语
机电一体化技术英语Introduction:Mechatronics, the integration of mechanical andelectrical engineering, has become a prominent field in the modern era. This interdisciplinary approach combinesexpertise from various domains to design and developintelligent systems. In this document, we will explore thekey concepts and terminology related to mechatronics in English.1. Definition of Mechatronics:Mechatronics refers to the synergistic integration of mechanical engineering, electronics, control engineering, and computer science. It aims to create intelligent systems and products that leverage the capabilities of each discipline.2. Core Components:2.1 Mechanical Engineering:Mechanical engineering involves the design, analysis, and manufacturing of mechanical systems. It encompasses areassuch as structure, materials, thermodynamics, and kinematics. In mechatronics, mechanical engineering provides thefoundation for the physical components and mechanisms.2.2 Electronics:Electronics refers to the study and application of electronic devices, circuits, and systems. It includes topics such as digital and analog electronics, semiconductor devices, and signal processing. Electronics plays a vital role in mechatronics by enabling control and communication within the system.2.3 Control Engineering:Control engineering deals with the analysis and design of systems that regulate the behavior of dynamic systems. It involves the application of feedback control techniques to achieve desired system performance. Control engineering is crucial in mechatronics for maintaining stability and ensuring proper functioning of the integrated components.2.4 Computer Science:Computer science focuses on the study of algorithms, programming languages, and information systems. In mechatronics, computer science is utilized for data processing, decision-making, and system integration. It enables the intelligent behavior and advanced functionalities of mechatronic systems.3. Applications of Mechatronics:3.1 Industrial Automation:Mechatronics finds wide application in industrial automation, where intelligent systems are employed for process control, robotics, and machine vision. It enhances productivity, quality, and reliability in manufacturing processes.3.2 Automotive Systems:The automotive industry extensively utilizes mechatronics in areas such as engine management systems, anti-lock braking systems, and vehicle stability control. Mechatronic systemsin automobiles ensure optimal performance, efficiency, and safety.3.3 Robotics:Robotics combines mechanics, electronics, and computer science to create robots capable of performing various tasks. Mechatronics provides the foundation for robot control,sensing, and actuation, enabling robots to interact intelligently with their environment.Conclusion:In conclusion, mechatronics is an interdisciplinary field that integrates mechanical, electrical, control, and computer engineering. It encompasses various core components and finds applications in industrial automation, automotive systems, and robotics. Understanding the terminology and concepts related to mechatronics in English is essential for effective communication and collaboration in this field.。
黑蒜类黑精的超声提取工艺优化及其稳定性和抗氧化性研究
贾庆超,李妍. 黑蒜类黑精的超声提取工艺优化及其稳定性和抗氧化性研究[J]. 食品工业科技,2023,44(19):235−243. doi:10.13386/j.issn1002-0306.2022110227JIA Qingchao, LI Yan. Study on Optimization of Ultrasonic Extraction Technology, Stability and Antioxidation of Melanoidin from Black Garlic[J]. Science and Technology of Food Industry, 2023, 44(19): 235−243. (in Chinese with English abstract). doi:10.13386/j.issn1002-0306.2022110227· 工艺技术 ·黑蒜类黑精的超声提取工艺优化及其稳定性和抗氧化性研究贾庆超,李 妍(郑州科技学院食品科学与工程学院,河南郑州 450000)摘 要:以黑蒜为原料,采用超声法提取黑蒜中的类黑精,并对提取工艺条件进行优化。
选取乙醇体积分数、料液比、超声时间和超声温度四个影响因素进行单因素实验,在此基础上,采用正交试验优化最佳提取工艺,同时对黑蒜类黑精的稳定性和抗氧化活性进行研究。
结果表明,超声法提取黑蒜类黑精的最佳工艺参数为:乙醇体积分数为10%、料液比为1:7、超声时间为40 min 、超声温度为70 ℃,此条件下得率为3.465%。
稳定性研究结果表明,温度高于50 ℃时,类黑精稳定性不好,而−15 ℃冷冻和4 ℃冷藏条件下,类黑精呈现较好的稳定性。
氧化剂H 2O 2和还原剂Na 2SO 3、甜味剂、暗光对黑蒜类黑精稳定性无显著影响,直射光、酸味剂、强酸pH2~4和弱碱pH8~10,则会使其稳定性降低,而金属离子Zn 2+和Fe 2+ 会与其发生络合反应。
液态纯Mg黏度与自扩散系数的分子动力学模拟研究
文章编号:1671-7872(2023)03-0261-08吴永全,钢铁冶金专业工学博士,上海大学材料科学与工程学院教授、博士生导师。
主要从事高温冶金熔体(包括熔渣和金属熔体)和固体材料微观结构及其与宏观物性之间关系的基础理论研究,尤其是计算机模拟和光谱理论和实验方面的研究。
主持国家自然科学基金项目6项、教育部及上海市科委基金项目6项、宝钢集团横向课题8项,主要参与973等国家重点项目5项。
出版中文学术专著2部:《冶金/陶瓷/地质熔体离子簇理论研究》(科学出版社,2007年)和《熔融金属物理初步》(冶金工业出版社,2012年)。
出版英文学术专著1部:“A study of Ion ClusterTheory of Molten Silicates and Some Inorganic Substances”(Trans Tech PublicationsInc, Switzerland, UK, USA, 2009)。
在Physical Chemistry Chemical Physics, ScriptaMaterialia, Applied Surface Science, The Journal of Chemical Physics,Journal of Raman Spectroscopy, Journal of Alloys and Compounds, Chemical Physics Letters,Modelling and Simulation in Materials Science and Engineering, Journal of Molecular Modeling, Computational Materials Science, Journal of Crystal Growth, Chinese Physical Letters, Steel Research International,《物理化学学报》《物理学报》《金属学报》等期刊及国内外学术会议论文集上发表论文80余篇,其中SCI收录50余篇,SCI总引频次数700多次、他引500多次。
Perspectivesfortheassociationbetweenolfactorydistu
PERSPECTIVEPerspectives for the associationbetween olfactory disturbances anddepression in Parkinson’s diseaseNon-motor disturbances in Parkinson’s disease: Globally, popu-lation aged 60 or over is growing and considering the World Bankpredictions for the next 20 years it is expected that the number ofParkinson’s disease (PD) cases will double at the end of this periodthus, reaching an impressive 13–39 million patients worldwide.This scenario is potentially associated with a significant global neg-ative impact on public health systems particularly in countries withincreased ageing populations such as the European countries, Asiaand Americas. The pathophysiology of PD involves the progres-sive degeneration of dopaminergic neurons of the substantia nigrapars compacta (SNpc) that triggers denervation of the nigrostriatalpathway and consequent significant reduction of dopamine in thedorsal striatum. Such process leads to a critical motor impairmentscenario characterized by bradykinesia, rigidity, resting tremor,and postural instability (Emamzadeh and Surguchov, 2018). How-ever, several other non-motor disturbances develop earlier, thus,being considered as prodromal signs of the neurodegeneration.In this sense, the literature is increasingly emphasizing the impor-tance of investigating mood and olfactory disruptions as high sen-sitive benchmarks of the early-phase disease. In fact, the need forinnovative early-phase diagnostic tools, as well as the elucidation ofthe pathophysiological mechanisms of such disturbances, is essen-tial priority in the field of investigation of PD. Remarkably, in theyear of 2015, a woman was known for an intriguing ability of “smellPD”. Her husband had lived with the disease for twenty years andduring this process she noticed that his odor slowly changed to amusky smell. Interestingly, this woman could associate this partic-ular smell with PD after meeting different people with this distinctodor in a charity for PD patients. In fact, this clever observationis aligned with studies showing that hyposmia is found decadesbefore the motor onset. Another type of anecdotal story, frequentlyreported by the patients, is the often cases of burnt food duringcooking. They just fail to sense the burnt smell generating a veryfrustrating feeling of incapacity.The notion of that is reinforced by the occurrence of hyposmiain more than 90% of the patients as a result of an increase in thenumber of periglomerular neurons within the glomerular layer ofthe olfactory bulb. Likewise, depression is highly related with PD,affecting 30-50% of the patients, although, it is extensively reporteda close relationship between depression and olfactory impairmentin a non-Parkinsonism context. Depression affects granular andperiglomerular interneuron activity, leading to an important re-duction of olfactory sensitivity. Also, a previous study from ourgroup have shown that a bilateral olfactory bulbectomy is con-sidered a reliable experimental model of depression in rats, sincesurgical removal results in hypothalamic and limbic alterationsleading to depressive-like behaviors and reduced nigral brain-de-rived neurotrophic factor levels (Maturana et al., 2014). In fact, thisneurochemical outcome impacts dopamine and serotonin levels inthe striatum and hippocampus, structures which are closely relatedto the nucleus accumbens that collectively define the mood circuit-ry. Interestingly, these areas are part of the brain reward pathway.Thus, the mutual association between neurochemical dysfunctionsof this neural mood circuitry and the pathophysiological mecha-nisms of hyposmia may contribute to increase anhedonia in PD.This raises the central question of how hyposmia could potentiallyworsen the symptoms of depression. This field is actually very re-cent and lacks substantial background about the role of differentneurons within the olfactory bulb and their interactions with othercircuitries classically affected during PD.Hyposmia and depression in PD, where do we stand: Within theglomerular layer of the olfactory bulb resides a group of dopami-nergic interneurons, so-called periglomerular neurons, that playsan inhibitory role (due to dopamine D2 receptor via Gi/o-coupledactivation) on olfactory receptor cells and mitral/tufted neurons(Huisman et al., 2004; Mundinano et al., 2011), thus, modulatingthe transmission of the olfactory stimulus. It is described thatduring PD degeneration the topographical pattern of the lesionsfirst develop at the olfactory bulb together with related portions ofthe anterior olfactory nucleus (Braak et al., 2004). Also, remarkably,there is a significant increase in the number of the periglomerularneurons in humans and in rats (Huisman et al., 2004; Mundinanoet al., 2011; Rodrigues et al., 2014) raising the hypothesis that thisincrease is a compensatory response to the loss of dopaminergicneurons in the SNpc (Doty, 2012). This hypothesis is also support-ed by our recent study that demonstrates an olfaction restoration,observed in a rat model of PD, as a result of a selective dopaminer-gic lesion (due to 6-hydroxydopamine - 6-hydroxydopamine (6-OHDA) - infusion), within the glomerular layer (Ilkiw et al., 2018).Such interneurons are generated in the subventricular zone (SVZ),a structure associated with the third ventricle and, together withthe subgranular zone of the hippocampus, is responsible for adultcell proliferation, present in both rodents and humans. Physio-logically, SVZ is responsible for the differentiation of stem cells inneuroblasts that migrate through the rostral migratory pathway tothe granular and glomerular layers of the olfactory bulb where theydiffer in the dopaminergic interneurons (Hoglinger et al., 2004).However, in situations of massive degeneration, those neurons mayintensely migrate to the affected regions (Figure 1) apparently inan attempt to regenerate the region and reestablish connections, asdemonstrated by the increase of 5-bromo-2-deoxyuridine (BrdU+)neurons in the dorsal striatum in a model of ischemic stroke (Hoehnet al., 2005), as well as in 6-hydroxydopamine-induced PD model(Worlitzer et al., 2012). According to our data, periglomerular neu-rons appear to have a key role in olfaction because selective lesionsof those cells promote a negative impact on this sensory processing,probably eliciting migration of newborn neurons from the SVZ.Complementarily, an acute lesion of the periglomerular layer isable to counteract the olfactory impairment provoked by the SNpcdopaminergic lesion, reinforcing this protagonism.Neurons from the glomerular layer of the olfactory bulb areheavily innervated by serotonergic neurons, originating in theraphe nuclei. Deafferentation of those serotonergic fibers gener-ates anosmia and olfactory bulb atrophy in mice (Moriizumi etal., 1994). In order to understand whether serotonin improvesor worsens the olfactory function, some studies investigated PDpatients, at early stages, observing an upregulation of raphe nu-clei serotonin transporter (SERT). However, reductions of SERTwere demonstrated in advanced PD patients (Pagano et al., 2017),and were associated with the onset of depression and restingtremor. Nevertheless, no correlation is found between olfactoryimpairment and SERT binding in several brain structures of thosepatients, suggesting that SERT decreased levels have no majorrole in olfactory dysfunction. Conversely, in animal models withmutations in PINK1, SNCA, LRRK2, and Parkin genes, reductionsin serotonergic fibers, serotonin levels and SERT binding, withinthe glomerular layer, are potentially associated with olfactory im-pairments. To date, certainly there is no consensus about how andwhen serotonergic neurotransmission impacts olfaction in PD.Indeed, our recent study showed an interesting difference ondepressive-like behaviors after a single dopaminergic lesion ofthe glomerular layer, compared to a double dopaminergic lesionparadigm (glomerular layer plus SNpc). In the former it was onlyproduced behavior despair, without anhedonia. However, in thelatter, it was detected decreased swimming, increased immobility,and anhedonic-like behavior. Hence, we believe that such resultsupport the rationale of a maturation process of a retrograde lesiontowards the SNpc. Together with the fact that depression causesreductions in olfactory threshold, identification and discriminationabilities in humans, and patients with congenital anosmia are moreexpected to exhibit signs of depression, it is plausible to suggesta bidirectional relation between hyposmia and depression. Suchbidirectional relation appears to be very pronounced in PD and, in591592Ilkiw JL, Lima MM (2019) Perspectives for the association between olfactory disturbances and depression in Parkinson´s disease. Neural Regen Res 14(4):591-592. doi:10.4103/1673-5374.247461some level, recapitulates our central question, previously raised. Translational limitations of data from animal models of PD: De-spite the highly conserved structural and functional features of the main olfactory system along mammals it is worth mentioning that studies from animal models present important limitations, partic-ularly regarding the biological significance of this chemical sense. In natural environments, animals face more complex tasks such as identify odor concentration and its background, odor recogni-tion and odor source localization. Altogether, these suggest that for rodents, odors can represent a detailed spatial map implying that olfaction is more crucial for rodents than for humans. In ad-dition, the investigation of depressive-like behaviors is also a good example of how challenging is to translate the therapeutic benefits observed in preclinical tests to a clinical perspective. Combined, the investigation of how olfaction is influenced by depressive-like behaviors, or vice versa , can be considered an import and very puz-zling step for the field of PD.Conclusions and future perspectives: Our study (Ilkiw et al., 2018) originally demonstrated that a dopaminergic lesion of the glomerular layer is able to produce olfactory deficits and depres-sive-like behaviors. Remarkably, the acute lesion of the glomerular layer counteracted the olfactory impairment caused by a previous SNpc injury. We demonstrated that this effect is due to a com-pensatory increment in the number of periglomerular neurons, occurred after the nigral lesion, being strongly associated with the olfactory impairment. Once this neuronal increment is reversed, depressive-like behaviors emerge. This reinforces the idea of a bidi-rectional relation between hyposmia and depression in PD.This work was supported by the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Fundação Araucária (Programa de Apoio a Núcleos de Excelência - PRONEX), and the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) (grant No. 431279/2016-0) Brazil. MMSL is recipient of CNPq fel-lowship (grant No . 305986/2016-3).Jessica L. Ilkiw, Marcelo M. S. Lima *Neurophysiology Laboratory, Department of Physiology, Federal University of Paraná, Curitiba, Paraná, Brazil *Correspondence to: Marcelo M. S. Lima, PhD,mmslima@ufpr.br or marcelomslima.neuro@.orcid: 0000-0001-9602-4880 (Marcelo M. S. Lima) Received: September 12, 2018Accepted: November 28, 2018doi: 10.4103/1673-5374.247461Copyright license agreement: The Copyright License Agreement has been signed by both authors before publication.Plagiarism check: Checked twice by iThenticate.Peer review: Externally peer reviewed.Open access statement: This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCom-mercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.Open peer reviewer: Andrei Surguchov, Kansas Uniiversity Medical Center, USA.Additional file: Open peer review report 1.ReferencesBraak H, Ghebremedhin E, Rub U, Bratzke H, Del Tredici K (2004) Stages in the development of Parkinson’s disease-related pathology. Cell Tissue Res 318:121-134.Doty RL (2012) Olfactory dysfunction in Parkinson disease. Nat Rev Neu-rol 8:329-339.Emamzadeh FN, Surguchov A (2018) Parkinson’s disease: biomarkers, treatment, and risk factors. Front Neurosci 12:612.Hoehn BD, Palmer TD, Steinberg GK (2005) Neurogenesis in rats after fo-cal cerebral ischemia is enhanced by indomethacin. Stroke 36:2718-2724.Hoglinger GU, Rizk P, Muriel MP, Duyckaerts C, Oertel WH, Caille I, Hirsch EC (2004) Dopamine depletion impairs precursor cell prolifera-tion in Parkinson disease. Nat Neurosci 7:726-735.Huisman E, Uylings HB, Hoogland PV (2004) A 100% increase of dopami-nergic cells in the olfactory bulb may explain hyposmia in Parkinson’s disease. Mov Disord 19:687-692.Ilkiw JL, Kmita LC, Targa ADS, Noseda ACD, Rodrigues LS, Dorieux FWC, Fagotti J, Dos Santos P, Lima MMS (2018) Dopaminergic lesion in the olfactory bulb restores olfaction and induces depressive-like behaviors in a 6-OHDA model of Parkinson’s disease. Mol Neurobiol doi:10.1007/s12035-018-1134-5.Maturana MJ, Pudell C, Targa AD, Rodrigues LS, Noseda AC, Fortes MH, Dos Santos P, Da Cunha C, Zanata SM, Ferraz AC, Lima MM (2014) REM sleep deprivation reverses neurochemical and other depressive-like alterations induced by olfactory bulbectomy. Mol Neurobiol 51:349-360.Moriizumi T, Tsukatani T, Sakashita H, Miwa T (1994) Olfactory distur-bance induced by deafferentation of serotonergic fibers in the olfactory bulb. Neuroscience 61:733-738.Mundinano IC, Caballero MC, Ordonez C, Hernandez M, DiCaudo C, Marcilla I, Erro ME, Tunon MT, Luquin MR (2011) Increased dopami-nergic cells and protein aggregates in the olfactory bulb of patients with neurodegenerative disorders. Acta Neuropathol 122:61-74.Pagano G, Niccolini F, Fusar-Poli P, Politis M (2017) Serotonin transporter in Parkinson’s disease: A meta-analysis of positron emission tomography studies. Ann Neurol 81:171-180.Rodrigues LS, Targa AD, Noseda AC, Aurich MF, Da Cunha C, Lima MM (2014) Olfactory impairment in the rotenone model of Parkinson’s dis-ease is associated with bulbar dopaminergic D2 activity after REM sleep deprivation. Front Cell Neurosci 8:383.Worlitzer MM, Bunk EC, Hemmer K, Schwamborn JC (2012) Anti-inflam-matory treatment induced regenerative oligodendrogenesis in parkinso-nian mice. Stem Cell Res Ther 3:33.Figure 1 Pattern of interneuron migration towards the olfactory bulb.In healthy subjects (A), the subventricular zone (SVZ) is responsible for generating newborn neurons. Once they are born, these neurons migrate through rostral migratory stream (RMS) until they reach the olfactory bulb (OB) where they differentiate in granular interneurons at the granular layer (GrL) and periglomerular interneurons at glo-merular layer (GL). According to Braak staging, Parkinson’s disease (PD) alterations begin in both OB and brainstem, possibly causing the non-motor disturbances. (B) The early neurodegeneration elicits an important recruitment of neuroinflammatory cells, especially microglia and astrocytes signaling the SVZ to intensify the process of neuro-genesis and respective migration towards the OB. Such mechanism is supposedly responsible for creating a circuitry able to promote a potent inhibition of mitral/tufted neurons leading to preclinical olfactory im-pairment in PD. LV: Lateral ventricle.。
创想启迪新思新梦的英语作文
Creativity is the spark that ignites the flame of innovation,and it is through this flame that we can illuminate the path to new ideas and dreams.The essence of creativity lies in its ability to transcend the boundaries of conventional thought and to explore the uncharted territories of the mind.It is the driving force behind the evolution of society, the advancement of technology,and the enrichment of culture.In the realm of art,creativity manifests itself in the form of unique and original expressions that captivate the senses and evoke emotions.Artists,through their creative endeavors,challenge the status quo and push the boundaries of what is considered beautiful or meaningful.They inspire us to see the world from different perspectives and to appreciate the diversity of human experiences.In the field of science,creativity is the catalyst for groundbreaking discoveries and inventions.Scientists,armed with an inquisitive mind and a relentless pursuit of knowledge,explore the mysteries of the universe and unravel the complexities of life. Their creative insights have led to the development of lifesaving medicines,revolutionary technologies,and profound understanding of the natural world.Innovation,on the other hand,is the practical application of creative ideas.It is the process of transforming abstract concepts into tangible realities that can be utilized to improve our lives and solve pressing problems.Innovation requires not only creative thinking but also the skills and resources to implement these ideas effectively.The fusion of creativity and innovation is what propels us forward as a society.It is the key to unlocking new possibilities and realizing our dreams.By fostering a culture that encourages creative thinking and supports innovative endeavors,we can create a brighter future for ourselves and generations to come.To cultivate creativity,we must first embrace a mindset that is open to new experiences and ideas.This involves being curious,questioning the norm,and being willing to take risks.We must also develop our critical thinking skills,which enable us to analyze problems from multiple angles and generate a variety of solutions.Furthermore,we should nurture our creative talents by engaging in activities that stimulate the imagination and inspire original thought.This could include writing, painting,composing music,or exploring new technologies.By immersing ourselves in these pursuits,we can unlock our creative potential and discover new ways of thinking.In conclusion,creativity and innovation are the twin engines that power the progress of human civilization.By embracing creativity and fostering an environment that supportsinnovation,we can unlock the doors to new ideas and dreams,and ultimately,create a world that is more prosperous,sustainable,and fulfilling for all.。
科学原理揭秘:为何物体会发生自然运动的原因
科学原理揭秘:为何物体会发生自然运动的原因1. Introduction1.1 OverviewIn this article, we will unveil the scientific principles behind the natural motion of objects. The movement of objects is a fundamental aspect of our everyday lives, from the falling of raindrops to the orbiting of planets. Understanding why objects undergo natural motion is crucial not only in scientific research but also in various practical applications.1.2 Research BackgroundThe study of object motion has been a subject of interest for scientists and scholars throughout history. From ancient Greek philosophers like Aristotle to modern-day physicists like Isaac Newton, researchers have sought to unravel the underlying principles governing the movement of objects in both macroscopic and microscopic scales. Over time, our understanding of these principles has evolved, leading to significant advancements in various fields such as physics, engineering, and technology.1.3 Significance of ResearchInvestigating the reasons behind natural object motion has numerous implications across different domains. By comprehending these principles, we can develop more accurate predictions and models for complex systems' behavior, enabling us to design better structures, optimize transportation systems, or even improve sports techniques. Additionally, understanding the fundamentals behind object motion helps us gain insights into the workings of natural phenomena and enhances our overall comprehension of the universe.By delving into concepts such as inertia, dynamics equations, mass-acceleration relationship, gravitational forces, frictional effects, external forces' influence on object motion, energy transformation during movement, conservation laws' application in motion analysis, and effects of energy loss and thermal considerations on motion –this article aims to provide a comprehensive examination and explanation behind why objects undergo spontaneous motion.Through this exploration of scientific principles unveiling object motion's secrets, we hope to offer valuable insights into how these findings impact human life and technological advancements. Now let's embark on an enlightening journey through the basic laws that govern objectmovement!2. 物体运动的基本规律2.1 惯性定律惯性定律是物体运动的基本规律之一。
基于可供性与无意识记忆的日用产品设计方法
理论研究070引言当今社会呈现飞速发展的总体趋势,生活中人们对物质的需求标准也随之提高。
日常产品设计的发展态势早已从侧重于满足功能性的单一需求,逐渐转化为以功能需求为基础结合情感需求、美感需求等多维度的复合型需求。
可供性(affordance)与无意识记忆(active memory)两项理论虽然在产品设计研究领域中已经存在,但仅停滞在对现有产品进行浅显解读和现象剖析的阶段,尚未形成可直接指导产品设计实践的设计理论体系。
本文基于可供性与无意识记忆两项理论出发提出日用产品设计方法,并依据此方法进行产品设计实践,将实践结果进行了实验论证。
一、可供性理论与无意识记忆(一)可供性理论。
在20世纪的全球视知觉研究领域中,美国心理学家吉布森是最具代表性的心理学家之一。
吉布森提出的直接知觉论可视作一种视知觉理论,认为人与外界接触的直接产物即是知觉,知觉也直接反映外界物理能量的变化,且介入过程无需人的思维导入 [1]。
可供性是吉布森的直接知觉论当中的核心内容,首次出现是在吉布森的著作《The Ecological Approach to Visual Perception》中,其概念最初被认为用来阐述存在于动物与环境之间“具有可引发直接知觉特性的行为关系”[2],随着后续发展,涵盖范围逐渐扩展到环境、事物与人之间。
可供性理论在不断演化和发展过程中不仅限于环境、事物与人之间相互作用,美国著名认知心理学家唐纳德,将可供性概念引入设计领域,在《Design of Everyday Things》中首次导入可供性概念,但唐纳德与吉布森差异为,吉布森认为可供性是在人的自身经验和文化素养外以独立形式存在,属于自身行动能力和与生俱来的自发特征,而唐纳德则将可供性与以往经验产生的认识和所获得知识进行链接。
[3] 吉布森对可供性理解是指“自发对周遭的人、事物和环境等一切存在价值判断和选取的行为”,不受其自身成长背景、经验与能力所限制;而唐纳德对可供性的理解是指“用户对产品的操作信息提供的线索进行理解”,受用户自身成长背景、经验与能力限制。
小学上册I卷英语下册试卷(含答案)
小学上册英语下册试卷(含答案)英语试题一、综合题(本题有100小题,每小题1分,共100分.每小题不选、错误,均不给分)1.中国的________ (art) 包括书法、绘画和雕塑。
2.What is the name of the festival celebrated in October?A. ChristmasB. HalloweenC. ThanksgivingD. New Year3.I love to ______ (参与) in school clubs.4.What is the color of the sun?A. BlueB. YellowC. GreenD. Purple5.I think it’s important to ________ (保持友好).6.The bear forages for food in the dense ____.7.What do we call the process of changing milk into cheese?A. FermentationB. CoagulationC. PasteurizationD. Homogenization8.They are _____ (climbing) the hill.9.Carbon dioxide is produced when we __________.10.What is the term for a planet's orbit around the sun?A. RotationB. RevolutionC. OrbitD. Translation11. A solution that does not conduct electricity is called a ______ solution.12.What do we call a baby cat?A. KittenB. PuppyC. CubD. Foal答案:A13.Honey is made by ______.14.What is the process of removing trees from a forest called?A. AfforestationB. ReforestationC. DeforestationD. Urbanization答案:C15.The flowers are ________ in the garden.16.The ____ has a long beak and enjoys pecking at the ground.17.I saw a ______ at the zoo. (lion)18.What is the process of turning a solid into a liquid called?A. FreezingB. MeltingC. EvaporatingD. Condensing答案:B19.I enjoy _______ (参加) cultural festivals.20.What is the name of the famous painting of a woman with a mysterious smile?A. The Starry NightB. The ScreamC. The Mona LisaD. Girl with a Pearl Earring21.The study of matter and its changes is called ______.22.Which animal says "meow"?A. DogB. CatC. CowD. Sheep答案:B23.The ______ (小鹰) soars high in the ______ (天空), searching for its prey.24.She wears _____ (glasses/hats).25.What do we call a baby rabbit?A. KittenB. BunnyC. PupD. Calf26.I enjoy making up stories about my _________ (玩具).27.Which planet is known for its great red spot?A. EarthB. MarsC. JupiterD. Saturn答案:C28.The __________ (历史的启发) ignites passion.29.What do we wear on our head for protection?A. ShoesB. HatC. ScarfD. Gloves30.The ______ (种子袋) is used for planting.31.In organic chemistry, functional groups determine the _____ of compounds.32.What is the capital of Anguilla?A. The ValleyB. Blowing PointC. Sandy GroundD. Island Harbour答案:A33.My family has a ______ pet. (我的家里有一只______宠物。
小学上册第5次英语第6单元期末试卷
小学上册英语第6单元期末试卷英语试题一、综合题(本题有100小题,每小题1分,共100分.每小题不选、错误,均不给分)1.What do we call the action of putting something in water?A. SoakingB. DryingC. FloatingD. Sinking2.My sister studies _______ (科目). 她觉得这个科目很 _______ (形容词).3.My mom is __________ (善良的) and caring.4.How many months are there in a year?A. TenB. TwelveC. ElevenD. Nine答案:B5.What type of animal is a frog?A. MammalB. ReptileC. AmphibianD. Fish答案:C6.What do we call the study of ancient cultures?A. AnthropologyB. SociologyC. ArchaeologyD. History答案:C7.What do you call a story that is not true?A. FactB. FictionC. HistoryD. Biography答案:B8.Mars has the largest volcano in the ______.9.I have a _____ (手链) that I made with colorful beads. 我有一个用彩色珠子制作的手链。
10. A _____ (种植) is when we put seeds in the ground.11.The _______ of a pendulum can be illustrated using a clock mechanism.12.The _____ (马) gallops freely across the meadow.13.The process by which plants make their food using sunlight is called __________.14.The __________ (历史的探索) uncovers truths.15.We learn about ______ (历史) in class.16.What is the result of 100 - 50?A. 40B. 50C. 60D. 7017. A ___ (小象) sprays water with its trunk.18.What is the capital of France?A. BerlinB. MadridC. ParisD. Rome19.The sky is _______ (clear) and blue.20. A ____ is known for its ability to fly great distances.21.They are dancing at the ___. (party)22.What do we call the process of changing from a liquid to a gas?A. CondensationB. EvaporationC. SublimationD. Freezing答案:B23.What is the name of the superhero who wears a cape and flies?A. BatmanB. SupermanC. Spider-ManD. Iron Man24. A ____ is a small mammal that often hides in burrows.25.We like to watch ______ (动画片).26.The _____ (花期) varies among different plants.27.What is the name of the famous American singer known for her hit song "Born This Way"?A. Lady GagaB. Katy PerryC. Taylor SwiftD. Ariana Grande答案:A Lady Gaga28.The bunny hops ______ (跳跃) around the garden.29.What do we call a story that is told through pictures?A. ComicB. Graphic NovelC. Picture BookD. All of the above30. A _______ is a material that resists electrical current.31.What is the primary color of a stop sign?A. YellowB. BlueC. RedD. Green答案:C Red32.The Great Barrier Reef is found off the coast of __________.33.An _____ (观察) of plants can be very informative.34.I like to _____ (烹饪) with my mom.35.I like to ______ (参与) in student council meetings.36.What is the capital of Tonga?A. Nuku'alofaB. Vava'uC. Ha'apaiD. 'Eua答案:A37.The chemical formula for lithium bromide is _______.38.What is the term for a large group of stars, gas, and dust held together by gravity?A. Solar SystemB. GalaxyC. UniverseD. Nebula答案:B39.What instrument is used to measure temperature?A. BarometerB. ThermometerC. HygrometerD. Altimeter答案:B40. A compound made of carbon, hydrogen, and oxygen is a ______.41.Which shape has four equal sides?A. RectangleB. TriangleC. SquareD. Circle42._____ (阳光) is essential for plants to make their food.43.Which planet is closest to the sun?A. VenusB. EarthC. MercuryD. Mars答案:C44.I love to read ______ (冒险故事) about explorers and their journeys.45.写出所给字母的邻居。
湛江2024年小学第5次英语第三单元暑期作业(含答案)
湛江2024年小学英语第三单元暑期作业(含答案)考试时间:100分钟(总分:100)B卷考试人:_________题号一二三四五总分得分一、综合题(共计100题)1、填空题:My toy ________ can move by itself.2、听力题:We have a _____ (计划) for the weekend.3、听力题:A reaction that can produce gas is called a ______ reaction.4、填空题:The wind blows through the ______ (树叶). It sounds very ______ (宁静).5、填空题:A __________ (化学安全) is crucial in laboratory settings to prevent accidents.6、听力题:A strong base has a pH value that is ________ than7、What is the name of the imaginary line that divides the Earth into the Northern and Southern Hemispheres?A. EquatorB. Prime MeridianC. Tropic of CancerD. Tropic of Capricorn答案: A8、听力题:The atomic structure of an atom includes the nucleus and _____ (electron cloud).9、What is the name of the famous American landmark located in South Dakota?A. Mount RushmoreB. Statue of LibertyC. Golden Gate BridgeD. Grand Canyon答案:A10、听力题:The study of Earth's surface features is crucial for understanding ______.11、听力题:We are having a ______ (barbecue) at our house.12、What is the freezing point of water?A. 0 degrees CelsiusB. 32 degrees FahrenheitC. Both A and BD. 100 degrees Celsius答案:C13、填空题:My friend has a pet ______ (兔子) named Fluffy.14、听力题:The Earth's surface is mostly covered by ______.15、听力题:A tectonic plate boundary where plates slide past each other is known as a ______ boundary.16、听力题:A ______ is a natural barrier formed by a mountain.17、听力题:My aunt is studying to be a ____ (lawyer).18、听力题:The frog jumps into the ______ (pond).19、What is the main diet of omnivores?A. PlantsB. MeatC. Both plants and meatD. Fruits答案:C20、填空题:古代中国的________ (silk) 是一种重要的贸易商品。
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a r X i v :a s t r o -p h /0701055v 1 3 J a n 2007Activity and Kinematics of Ultracool Dwarfs Including AnAmazing Flare ObservationSarah J.Schmidt,1,2,3,4Kelle L.Cruz,1,4,5Bethany J.Bongiorno,1,2James Liebert,4,6and I.Neill Reid 4,7sjschmidt@ABSTRACTWe present the activity and kinematics of a representative volume-limited (20pc)sample of 152late-M and L dwarfs (M7–L8)photometrically selected from the Two Micron All-Sky Survey (2MASS).Using new proper motion measurements and spectrophotometric distance estimates,we calculate tangential velocities.The sample has a mean tangential velocity of V tan =31.5km s −1,a velocity dispersion of σtan =20.7km s −1,and a maximum tan-gential velocity of V tan =138.8km s −1.These kinematic results are in excellent agreement with previous studies of ultracool dwarfs in the local solar neighborhood.H αemission,an indicator of chromospheric activity,was detected in 63of 81late-M dwarfs and 16of 69L dwarfs examined.We find a lack of correlation between activity strength,measured by log (F Hα/F bol ),and V tan ,though velocity distributions suggest that the active dwarfs in our sample are slightly younger than the inactive dwarfs.Consistent with previous studies of activity in ultracool dwarfs,we find that the fraction of H αemitting objects per spectral type peaks at spectral type M7and declines through mid-L dwarfs.Activity strength is similarly correlated with spectral type for spectral types later than M7.Eleven dwarfs out of 150show evidence of variability,ranging from small fluctuations to large flare events.We estimate a flare cycle of ∼5%for late-M dwarfs and ∼2%for L dwarfs.Observations of strong,variable activity on the L1dwarf 2MASS J10224821+5825453and an amazing flare event on the the M7dwarf 2MASS J1028404−143843are discussed.Subject headings:Galaxy:stellar content —solar neighborhood —stars:activity —stars:flare —stars:late-type stars:low-mass,brown dwarfs —stars:individual (2MASS J10224821+5825453,2MASS J1028404−143843)Micron Proper Motion sample(2MUPM sample) is a combination of a complete sample selected from the2MASS Second Incremental Data Re-lease(Cruz et al.2003,2006,in press)and the spectroscopically confirmed portion of a sam-ple constructed from the All-Sky Data Release (Reid et al.2007,in prep).This comprehensive survey allows us to investigate the activity and kinematics of cooler,fainter dwarfs in a sample with well documented properties and uncertain-ties.We measured proper motions using the images provided by the Digitized Sky Survey(hereafter DSS),which combines data from the Palomar Ob-servatory Sky Survey(Reid et al.1991,POSS) and the UK Schmidt survey(Morgan1995).To-gether,DSS images and2MASS coordinates and images have enabled long baseline proper motion measurements for all but the12faintest objects, and the inclusion of new data has allowed us to obtain proper motions for all but seven dwarfs. We combine our proper motions with spectropho-tometric distance estimates to obtain tangential velocities for our sample of152ultracool dwarfs. Kinematics allow us to investigate the age distri-bution of our sample;the ages of L dwarfs are of particular interest because the spectral class encompasses both stellar and substellar objects (Burrows et al.2001).Kinematics can also be combined with Hαmea-surements to test the validity of an age activity relationship for ultracool dwarfs.The power law relationship between activity and age in main se-quence stars(Skumanich1972;Soderblom et al. 1991)breaks down during the M spectral class (Silvestri et al.2005;Gizis et al.2000).Kine-matic studies show that active M dwarfs tend to be younger than inactive M dwarfs,but it is unknown whether this is due to a sharp cut-offin activity as dwarfs age,or a steady decline(West et al.2004, 2006).Activity is more closely related to spectral type in ultracool dwarfs.For M1to M7dwarfs,the fraction of active objects increases with later spectral type while the strength of Hαemis-sion remains relatively constant,though with scatter(Hawley et al.1996;West et al.2004; Bochanski et al.2005).For M7to late-L dwarfs, Hαemission becomes increasingly less common with later spectral type as the activity strength de-creases(Gizis et al.2000;West et al.2004).There is evidence that this relationship may extend into the T spectral class(Burgasser et al.2002) The mechanisms producingflare events and strong Hαemission in ultracool dwarfs are not completely understood.Current estimates of the M dwarfsflareflare rate are approximately7% (Gizis et al.2000;Reid et al.1999).Only a few L dwarfs have been observed with strong Hαemis-sion and little is known about theirflare properties (Liebert et al.1999,2003;Hall2002).We present proper motions and Hαmeasure-ments of a sample of152ultracool dwarfs with spectral types from M7–L8.In§2,we dis-cuss the completeness and properties of our sam-ple.Details of proper motion measurements and the examination of spectral features are con-tained in§ 3.We discuss the kinematics in §4and in§5we examine the activity proper-ties of the sample and investigate possible age relations.Variability is discussed in§6,in-cluding an strong variability on the L1dwarf 2MASS J10224821+5825453and an amazingflare on the M7dwarf2MASS J1028404−143843.2.The SampleTo construct the2MUPM sample of late-M and L dwarfs discussed in this paper,we have com-bined objects selected from both the2MASS Sec-ond Incremental Data Release and the All-Sky Data Release.The dwarfs selected out of the sec-ond release are from Cruz et al.(2003,hereafter Paper V)and Cruz et al.(2006,in press,hereafter Paper IX).The dwarfs selected out of the all-sky release are from Reid et al.(2007,in prep,here-after Paper X).Those papers describe how exten-sive follow up spectroscopy was obtained for candi-date objects from both samples.Spectroscopy has been completed for the objects selected from the second release,but more observations are needed tofinish confirmation and spectral typing for the objects selected from the all-sky release.Though we summarize here,more details on sample selection,spectroscopy,spectral types, and spectrophotometric distance estimates can be found in Papers V,IX,and X.Spectral types were assigned by visual comparison of each spec-tra to spectral standards.There is an uncertainty of±0.5spectral subtype for most dwarfs,andwhole number types are favored over half types. Spectrophotometric distance estimates were de-rived from a relation between spectral type and absolute J magnitude.The subset of the sample selected from the 2MASS second release is complete for spectral types M9–L6within a distance limit of20pc,but we include types M7–L8in the2MUPM sample. The color selection(J−K>1)excludes the bluest M7and M8dwarfs,and magnitude limits exclude the most distant L7and L8dwarfs.Despite this incompleteness,there is no evidence that the near infrared selection criteria used to create the sam-ple is correlated with activity or kinematics.The 2MASS second release sample comprises only35 L dwarfs within20parsecs.In order to increase the sample size,we have included spectroscopi-cally classified dwarfs within20pc from the all-sky sample,which adds37L dwarfs to the2MUPM sample.As described above,we have not yet com-pleted observations of the faintest objects from lat-ter dataset;however,those omissions should not bias the activity or kinematic distributions of the sample as a whole.The sample selected from the2MASS second release is the basis of the luminosity function of ultracool dwarfs.Excepting a small number of dwarfs excluded because we could not measure proper motions,that portion of the2MUPM sam-ple has the same completeness discussed in Paper IX.While observations of the sample selected from the2MASS all-sky release have not been com-pleted,it was created with similar selection cri-teria.Figure1shows the number of objects per spectral type included from the second release se-lection and the all-sky selection.Excepting M7 dwarfs,which were purposely excluded from the all-sky selected sample,a K-S test indicates no difference between the two spectral type distribu-tions at the90%significance level.The2MASS-selected20parsec sample is cur-rently composed of170dwarfs with spectral types from M7to L8.The2MUPM sample includes11 multiple systems without resolved spectroscopy. The spectral types of both the primary and the secondary in these systems are estimated to be between M7and L8.Because the lack of resolved spectroscopy does not allow us to check each ob-ject for Hαemission,we consider the system as a single object with the spectral type of the pri-mary.This excludes11low mass companion ob-jects from our analysis.Treating binaries as sin-gle object also affects the relative strength of Hαemission,which is discussed in§5.LHS1070is a resolved triple system(M5.5,M8.5,and L0)where the primary is excluded by our spectral type crite-rion,but the M8.5and L0are part of the2MUPM sample(Leinert et al.2000).Six objects are excluded from the2MUPM sam-ple because their optical magnitudes were too faint to obtain or measure a proper motion;one ob-ject was too close to another source to measure an accurate position.The proper motion measure-ments are discussed further in§3.1.With the exclusion of7objects without proper motions and 11low mass companion objects without resolved spectroscopy,the remaining152objects(81M and 71L)comprise the2MUPM sample analyzed in this paper.3.Measurements3.1.Proper Motions and Tangential Ve-locitiesWhen combined,2MASS and DSS enable accu-rate,long baseline proper motion measurements for most2MUPM systems—DSS images are from as early as1950,while2MASS coordinates and infrared images are from between1997and2002. From the1592MASS selected M7–L8dwarfs within20pc,we measured proper motions for 81of82M dwarfs and66of77L dwarfs using DSS data as thefirst epoch and2MASS coordi-nates as the second.The proper motion measure-ments adopted in this paper are a balance between the longest possible baseline and the best quality image.For20%of the sample,POSS I data(base-line of40–50years)was used.Ten percent of the proper motions were measured using UK Schmidt data(16–24years).The remaining proper mo-tions were measured mainly from POSS II data with baselines of2–16years(20%with baselines <5years).While many of these objects were visible in multiple epochs of DSS data,eleven late-L dwarfs (2L6,5L7,4L8)are not visible in any DSS band due to their faint optical magnitudes.One proper motion is available in existing litera-ture;we use the measurement from Vrba et al. (2004)for2MASS J01075242+0041563.Datawere obtained to measure proper motions of four of the remaining faint L dwarfs.The proper motions for2MASSI J1043075+222523and 2MASSI J2325453+425148were measured with 2MASS data as thefirst epoch and deep,high res-olution Gemini acquisition images from our2004B program(Program ID:GN-2004B-Q-10)as the second epoch.For2MASS J02572581−3105523 and2MASSI J0439010−235308,we used data from the CPAPIR camera on the CTIO1.5m to provide second epoch astrometry.We exclude the remaining6L dwarfs(1L6,5L7)from the 2MUPM sample.We also exclude one M8.5dwarf because it is too close to a background star to measure an accurate position.For each object,multiple band DSS images were obtained from the Canadian Astronomy Data Centre or,in four cases,another image was acquired of the target and surroundingfield. Additionally,a list of2MASS coordinates for nearby reference stars was obtained from the NASA/IPAC Infrared Science Archive using the GATOR interface.Proper motions were then measured using a custom IDL code.For each object,a transformation matrix between DSS im-age x,y coordinates and2MASS frame RA,dec is calculated using the positions of reference stars surrounding the proper motion source.The posi-tion of the source in DSS image x,y coordinates is then translated into2MASS frame RA,dec using the transformation matrix.The proper motion is solved for by comparing the translatedfirst epoch coordinates with the2MASS coordinates.Uncer-tainties in the proper motion measurements are calculated from the residuals between the trans-formed coordinates and the2MASS coordinates for the reference stars;they are inversely depen-dent on the length of the baseline.The tangential component of space velocity (V tan)is the product of proper motion and dis-tance.Our distances are calculated from the spec-tral type/M J relation found in Paper V.Proper motions,distances,and derived tangential veloc-ities are given in Table1.The V tan distribution has a mean of V tan =31.3km s−1and a dis-persion ofσtan=20.8km s−1.Kinematic results are discussed in more detail in§4.Most objects in our sample have V tan less than100km s−1and the two kinematic outliers(V tan>100km s−1) are discussed in§4.2.It was not possible to measure complete UVW kinematics for the2MUPM sample.The spec-tra were not obtained with the goal of measuring radial velocities;they are from a variety of tele-scopes and conditions.Radial velocities require more consistent data.Additionally,the spectra for fainter dwarfs do not have sufficient signal-to-noise to measure radial velocities so the sam-ple would be incomplete in later spectral types. While the lack of complete space motions does ef-fect our analysis of individual objects,it should not drastically effect the kinematics of the popu-lation(Silvestri et al.2002).Proper motions were previously published for 95of the152objects in the2MUPM sample.We compared these measurements with ours to per-form a check on our method of measuring proper motions.For44objects,measurements were made by either astrometric studies(Monet et al.1992; Tinney,Reid,Gizis,&Mould1995;Tinney1996; Dahn et al.2002;Vrba et al.2004)or kinematic studies(Gizis et al.2000;Deacon et al.2005). Additionally,80of the152objects,proper mo-tions were published in the USNO-B astrometric catalog(Monet et al.2003).Our measurements are plotted against previous measurements in Fig-ure2.The USNO-B measurements are not completely consistent with ours.Seventy of80objects agree within0.1′′yr−1.Of the remaining10,five agree within0.2′′yr−1,andfive did not agree(within <0.2′′yr−1;these are not included in Figure2). The automated methods used to measure proper motions for the USNO-B catalog are prone to mis-matches;we prefer our proper motions as each measurement has been verified by eye.Comparison with other works shows good agreement;our measurements are within0.1′′yr−1 of previousµtot and10◦of previously mea-sured position angle.The one exception is SIPS1936−5502,which we measure atµtot= 0.29±0.31′′yr−1,PA=131◦(with a three year baseline)and Deacon et al.(2005)measure at µtot=0.84±0.05′′yr−1,PA=134◦.It is pos-sible that our measurement is not entirely correct due to the short baseline,but we retain the ob-ject in our sample as it would be included in the absence of a comparison measurement.Generally, the proper motions found by parallax studies are more accurate,but we use our own measurementsfor consistency.Twenty-one of the60objects analyzed by Gizis et al.(2000)were re-observed as part of the 2MUPM sample.The proper motions show agree-ment within0.06′′yr−1(within our uncertain-ties)but the V tan comparison is less consistent. The distance estimates in Gizis et al.(2000)are based on J−K S color while our distances are derived from a spectral type/M J relation.The latter method yields improved distances(accurate to∼10%)and thus more precise kinematics.For example,the maximum V tan of141km s−1in Gizis et al.(2000)was reduced to97.9km s−1 due to the revised distance estimate.3.2.Spectral FeaturesAn optical spectrum(6000–10000˚A)for almost every object in the2MUPM sample was obtained in order to assign spectral types(Papers V,IX, and X).Most(132)spectra examined for this analysis were obtained for the classification of the2MASS selected samples,but some spectra from other sources were used.Spectral references are given in Table2.Of the1522MUPM ob-jects,there were150optical spectra available. Two dwarfs,2MASS J01550354+0950003and 2MASS J14283132+5923354were confirmed and spectral typed using infrared spectra and we have not yet obtained optical spectra.The splot routine in IRAF was used to visually inspect each spectrum and measure Hαequiva-lent width(EW)and lineflux.Hαemission was detected in63of81M dwarfs and15of69L dwarfs,and upper limits were placed on Hαnon-detections by measuring the EW of a represen-tative noise spike.Because emission strength for mid-to late-L dwarfs can be as small as1-2˚A,we consider objects with Hαemission distinguishable from noise as active rather than establishing a cut-offbetween active and inactive.We combined Hαlineflux with bolometric flux to obtain log(F Hα/F bol).Bolometricfluxes were calculated for each object using2MASS K S magnitudes and the bolometric correction(BC K) for K S magnitudes found by Golimowski et al. (2004).BC K is calculated from the polynomial fit to a spectral type/bolometric magnitude rela-tion.For two objects,we were able to obtain HαEW but not lineflux because the spectra were notflux calibrated.Hαmeasurements and upper limits are presented in Table2,and the activity properties of the2MUPM sample are discussed in detail in§5.For binary objects unresolved in2MASS,the bolometricflux is calculated from the combined magnitude.This presents a problem when mea-suring Hαemission from the combined spectra be-cause we do not know what fraction of the total activity is emitted by which component.If one dwarf is active and the other inactive,the ratio of measured Hαflux to the combined bolometricflux results in a smaller relative emission strength than would be calculated for the single active dwarf. Because we use the log of a ratio to indicate Hαstrength,the resulting uncertainty depends on the relative contributions of each component to the bolometricflux,which in turn depends onδK S (the difference of the magnitudes).If both components have equal emission strengths and K S magnitudes,then the measured log(F Hα/F bol) will be correct.For an equal mass binary with one active and one inactive component,log(F Hα/F bol)is0.30dex lower than it would be for the single active object.The effect will be smaller for an un-equal mass binary;forδK S=2and activity only from the more luminous object,our calculated log(F Hα/F bol)is0.08dex lower than it would befor the single active object.In Figures6and7, binaries are plotted as shaded symbols with the maximum uncertainties resulting from the com-bined magnitudes(+0.30dex).The LHS1070 system has resolved spectroscopy and there is no uncertainty as to which component is producingHαemission.We used relative photometry from Ratzka et al.(2007,in prep)to determine the bolometricflux of the B and C components,and measured Hαfrom resolved spectroscopy(Leinert, m.).The wavelength range of our optical spectra en-abled examination of the2MUPM sample for theLi I absorption line.According to the“lithium test,”the detection of the Li I absorption fea-ture is a sufficient,but not necessary,indicator of substellar mass(Rebolo et al.1992;Basri1998). We have detected Li I in3of the69L dwarfsin the2MUPM sample,which is a significantly smaller fraction than the one third found in the Kirkpatrick et al.(1999)sample of25L dwarfs. This disparity is likely due to the lower signal-to-noise ratio of our spectra(obtained mostly with4-m telescopes),compared to the Kirkpatrick et al. (1999)Keck10-m spectra,so the small number of Li I detections is likely an observational effect rather than a physical property.Individual objects with Li I detections are discussed in papers V,IX, and X but there are not sufficient detections to use Li I as an age diagnostic in the2MUPM sample.For the objects that overlap with the Gizis et al. (2000)sample,comparison of our HαEW mea-surements yields some interesting differences.Of 21objects,15had comparable(within3˚A)HαEW measurements.Three of the six dwarfs with significantly different measurements have been ob-served inflare and are discussed in§6.2.The other three objects have differences of6–15˚A.It is likely that these differences are evidence of variability rather than the result of different signal-to-noise or measuring techniques.Measurements for these three objects which show smaller variations are listed with those of objects showing stronger vari-ability in Table3.For objects observed in both flare and quiescence,the quiescent measurement is used for sample statistics.We discuss activ-ity properties of the2MUPM sample in§5and variable activity in§6.2.4.Kinematics4.1.Overall PropertiesThe photometric selection of the2MUPM sam-ple provides an opportunity to study kinemat-ics without bias and derive age estimates from a well-defined sample.The2MUPM sample is characterized by a mean tangential velocity of V tan =31.5km s−1and a velocity dispersion ofσtan=20.7km s−1.There are two outliers (V tan>100km s−1)excluded from the kinematic analysis;these fast moving dwarfs are discussed in §4.2.The mean velocity and velocity dispersion show good agreement with the kinematics of the Gizis et al.(2000)sample.To obtain a kinematic age estimate for the 2MUPM sample,we useσtan to estimate the to-tal velocity dispersion(σtot)with the equation σtot=(3/2)1/2σtan.Velocity dispersion is con-verted to age using the relation found by Wielen (1977)σtot=(10km/s)×[1+t/τ]1/3whereτ=2×108yrs and t is mean population age in years.Withσtan=20.8km s−1(which excludes the outliers discussed in§4.2),this re-lation yields an age estimate of3.1Gyr for the 2MUPM sample.This kinematic age is sensitive to the spectrophotometric distances used to cal-culate V tan.Allowing for the possibility of a sys-tematic10%over-or underestimation of the dis-tances,we calculate that age estimates could vary from2.2–4.2Gyr.This is in excellent agreement with the kinematic age estimate of2–4Gyr found by Dahn et al.(2002).We can use kinematics to further investigate the age distribution of M and L dwarfs.Monte Carlo simulations of the substellar mass function by Burgasser(2004)produce a modeled age dis-tribution with respect to T eff,shown in his Fig-ure8.Though there is a large spread of ages in each spectral type/temperature bin,the general trend shows an older mean age for late-M and early-L dwarfs and a younger mean age for late-L dwarfs.This is because the L spectral class encom-passes a combination of stellar and substellar ob-jects.Only younger,relatively warm brown dwarfs have T eff that corresponds to L spectral types. Stars can have spectral types as late as∼L4and are likely to be older than brown dwarfs with the same T eff(Burrows et al.2001).One might ex-pect that the combination of both younger brown dwarfs and older stars in late-M to early-L types would produce a wider velocity distribution while late-L types contain exclusively brown dwarfs and would have a narrower distribution.To compare the expected ages with the kine-matic distribution of the2MUPM sample,we plot V tan as a function of spectral type(Figure3).We also plot the mean velocity and standard devia-tion for each spectral type bin to aid kinematic interpretation.Across M7to L8spectral types, the mean velocities per spectral type are largely constant.They are scattered within a range of V tan =15km s−1to V tan =35km s−1,but there is no recognizable trend that hints at the expected age distribution.Figure4shows velocity distribution histograms of the M7–L2and L3–L8populations.Both dis-tributions peak at the bin centered on25km s−1, and the velocity dispersions of the populations are nearly equal(M7–L2withσtan=20.8km s−1and L3–L8withσtan=21.0km s−1),implying no agedifference.It is possible that the2MUPM sample is too small for kinematics to distinguish between stars and brown dwarfs,but it is also likely that the age effect is not pronounced enough to be ap-parent in kinematics.4.2.Kinematic OutliersThe three fastest objects in the2MUPM sam-ple warrant additional discussion.The fastest dwarf is2MASSI J1721039+334415(hereafter 2M1721+33),an L3with a velocity of V tan= 138.8±15.1km s−1;the next fastest is2MASS J02511490-0352459(hereafter2M0251−03),an L3 with a velocity of V tan=124.6±13.1km s−1;and third fastest is2MASSW J1300425+191235(here-after2M1300+19),an L1dwarf with a velocity of V tan=97.9±7.2km s−1.Both2M0251−03 and2M1721+33are4σfaster than the mean and are excluded from our kinematic analysis.While 2M1300+19also has a high velocity,it is not as unusual as the two kinematic outliers and is in-cluded in our kinematic analysis.In addition to their fast velocities,2M1300+19 and2M1721+33are also unusually blue for their spectral types.Bluer colors suggest low metallic-ity and old dwarfs are likely to have high veloci-ties.Gizis et al.(2000)discussed2M1300+19be-cause the combination of its unusually blue color and high velocity indicate that it is likely to be old.Our calculated V tan=97.9km s−1is the third fastest velocity in the2MUPM sample.Both 2M1200+19and2M1721+33are discussed and spectra are presented in Papers V and IX because the combination of their slightly blue colors and faster kinematics suggest thick disk membership.The remaining outlier,2M0251−03,is also on the blue end of the color distribution but does not have unusual colors like2M1300+19and 2M1721+33.The spectrophotometric distance used to calculate its V tan is d phot=12.1±1.1pc, which is consistent with a preliminary distance of d=12.7±1.2pc found by the CTIOPI paral-lax program(Bartlett2006,m.).Our measured proper motion ofµ=2.17±0.11′′yr−1 at P A=149±2◦is consistent with the proper motion ofµ=2.19±0.06′′yr−1at P A=149◦measured by Deacon et al.(2005).Tangential ve-locity is only two of the three components of the total velocity,and a slow radial velocity would place2M0251−03closer to the mean of the kine-matic distribution.While2M0251−03may be an unusual object,it is likely that its high velocity is simply the tail of the disk kinematic distribution.5.Activity5.1.Activity and Spectral TypePrevious work has shown that the presence and strength of Hαemission in late-M and L dwarfs decreases with lower mass and later spectral type. Figure5plots the fraction of active objects per spectral type for the2MUPM sample.M7dwarfs have the largest activity fraction,with21of22 objects(95%)showing Hαemission.The activity fraction declines with later spectral type,but it does not go to zero.Hαemission is present in4 of50dwarfs between spectral types L2and L8.Wefind that the activity fraction of the 2MUPM sample drops rapidly through L dwarf sub-types.Half of L0dwarfs are active,one-fifth to two-fifths of L1dwarfs,and approximately one-tenth for spectral types L2and later.While there is no doubt that the activity fraction drops,it is possible that the steepness of the drop is due to small numbers and observational effects rather than the activity properties of L dwarfs.For spec-tral types L3and later,Hαwas only detected in spectra taken with8-m or10-m telescopes.The EW of those detections is smaller than the up-per limit of most spectra taken with smaller tele-scopes.Gizis et al.(2000)suggest that a lowered continuum surrounding the Hαemission feature should make up for the decreased sensitivity,but to fully investigate the activity properties of late-L dwarfs,higher signal-to-noise spectra are needed. While there are only a few Hαdetections for types L2to L8,activity has been detected in at least three T dwarfs(Burgasser et al.2003).The peak activity fraction at M7is consistent with previous results.Gizis et al.(2000)(Fig-ure6)found that all M7and M8dwarfs in their sample are active.Their activity fraction declines with later spectral type and no Hαemission is found in types L5and later.West et al.(2004) (Figure1)found that73%of M8dwarfs in their sample show Hαemission and the activity frac-tion similarly declines with later spectral type. They investigate the possibility that their maxi-mum activity fraction is lower(73%rather than 100%)due to the Galactic distribution of their。