Stefano Soatto CURRICULUM VIT
蒂塔·万提斯-美丽不是天生的,而是悉心经营的
蒂塔·万提斯-美丽不是天⽣的,⽽是悉⼼经营的⽬录如果有哪个⼥⼈像是从上世纪的海报中⾛出的,那⼀定是蒂塔·万提斯。
在她还是个⾦发萝莉的时候,由于受到⽼电影的熏陶,深深地爱上了复古风格,变成古典海报⾥的⼥郎成为她⼀⽣的梦想。
读⼤学之后,蒂塔·万提斯选择了历史服装设计专业,她的志向是成为⼀名古装电影的设计师。
蒂塔·万提斯 13 岁时在⼀家芭蕾舞演艺公司担任了独舞,并且在 15 岁时,在⼀家⾼档内⾐专卖店做过销售员。
读⼤学后,由于蒂塔·万提斯当时的志向是成为⼀名古装电影的设计师,因此她选择了历史服装设计专业。
同时,蒂塔·万提斯还开始担任⼈体模特,并且在从中找到了⾃⼰对古典美的追求。
1991 年,19 岁的蒂塔·万提斯开始向杂志提供了她专门策划拍摄的舞娘照⽚。
在 21 岁时,蒂塔·万提斯成为了⼀名滑稽戏剧演员,并且在⼀场公开的聚会上,⼤胆表演了⽻⽑扇舞,名声⼤噪。
3 年后,蒂塔·万提再现经典⼀幕,并且⾃ “⾹槟浴” 起,蒂塔·万提斯在北美和欧洲轮流举办个⼈专场表演会,引起了许多上层社会的名流。
让⽆数⼈神魂颠倒的蒂塔·万提斯成为了世界上最贵的脱⾐舞娘,很多⼈看到 “脱⾐舞娘” 四字,⾸先想到的是“难登⼤雅之堂”,不过蒂塔·万提斯却打破了这⼀印象。
与绝⼤多数的舞娘不同,蒂塔选择这个⾏业的原因是“热爱”。
她迷恋于“研究诱惑的艺术”。
在她看来,“性感制造”和“诱惑传递”是⼀门值得细细研究的学问,也是终⽣追求的事业。
作为⼀名“情景设置”⾼⼿,蒂塔擅长在表演中设计主题、讲述故事。
由前辈Dixie Evans点拨,通过⾃⼰的想象和精⼼编排,最终呈现出⼆⼗世纪中期“黄⾦年代”中⽻⽑扇舞的绝代风华。
⾃她之后,“情⾊”之舞被重新定义,她的作品也成为了兼具娱乐与美学价值的视觉艺术品。
我们在看她的事业线与事业的时候,不要忘记她的美丽也不是浑然天成,⽽是苦⼼经营的。
雅思ogtest8阅读答案passage3
雅思ogtest8阅读答案passage3原文题目及答案解析内容本文为大家带来雅思OGtest8阅读passage3原文题目及答案解析内容。
Left or right?An overview of some research into liberalization: the dominance of one side of the body over the otherACreatures across the animal kingdom have a preference for one foot, eye or even antenna. The cause of this trait, called liberalization, is fairly simple: one side of the brain, which generally controls the opposite side of the body, is more dominant than the other when processing certain tasks. This does, on some occasions, let the animal down: such as when a toad fails to escape from a snake approaching from the right, just because its right eye is worse at spotting danger than its left. So why would animals evolve a characteristic that seems to endanger them?BFor many years it was assumed that liberalization was a uniquely human trait, but this notion rapidly fell apart as researchers started uncovering evidence of liberalization in all sorts of animals. For example, in the 1970s, Lesley Rogers, now at the University of New England in Australia, was studying memory and learning in chicks. She had been injecting a chemical into chicks brains to stop them learning how to spot grains of food among distracting pebbles, and was surprised to observe that the chemical only worked when applied to the left hemisphere of the brain. That strongly suggested that the right side of the chicks brain played little or no role in the learning of such behaviours. Similar evidence appeared in songbirds and rats around the same time, and since then, researchers have built up an impressive catalogue of animal liberalization.CIn some animals, liberalization is simply a preference for a single paw or foot, while in others it appears in more general patterns of behaviour. The left side of most vertebrate brains, for example, seems to process and control feeding. Since the left hemisphere processes input from the right side of the body, that means animals as diverse as fish, toads and birds are more likely to attack prey or food items viewed with their right eye. Even humpback whales prefer to use the right side of their jaws to scrape sand eels from the ocean floor.DGenetics plays a part in determining liberalization, but environmental factors have an impact too. Rogers found that a chick's liberalization depends on whether it is exposed to light before hatching from its egg - if it is kept in the dark during this period, neither hemisphere becomes dominant. In 2004, Rogers used this observation to test the advantages of brain bias in chicks faced with the challenge of multitasking. She hatched chicks with either strong or weak liberalization, then presented the two groups with food hidden among small pebbles and the threatening shape of a fake predator flying overhead. As predicted, the birds incubated in the light looked for foodmainly with their right eye, while using the other to check out the predator. The weakly-lateralized chicks, meanwhile, had difficulty performing these two activities simultaneously.ESimilar results probably hold true for many other animals. In 2006, Angelo Bisazza at the University of Padua set out to observe the differences in feeding behaviour between strongly-lateralized and weakly-lateralized fish. He found that strongly-lateralized individuals were able to feed twice as fast as weakly-lateralized ones when there was a threat of a predator looming above them. Assigning different jobs to different brain halves may be especially advantageous for animals such as birds or fish, whose eyes are placed on the sides of their heads. This enables them to process input from each side separately, with different tasks in mind.FAnd what of those animals who favour a specific side for almost all tasks? In 2009, Maria Magat and Culum Brown at Macquarie University in Australia wanted to see if there was general cognitive advantage in liberalization. To investigate, they turned to parrots, which can be either strongly right- or left-footed, or ambidextrous (without dominance). The parrots were given the intellectually demanding task of pulling a snack on a string up to their beaks, using a co-ordinated combination of claws and beak. The results showed that the parrots with the strongest foot preferences worked out the puzzle far more quickly than their ambidextrous peers.GA further puzzle is why are there always a few exceptions, like left-handed humans, who are wired differently from the majority of the population? Giorgio Vallortigara and Stefano Ghirlanda of Stockholm University seem to have found the answer via mathematical models. These have shown that a group of fish is likely to survive a shark attack with the fewest casualties if the majority turn together in one direction while a very small proportion of the group escape in the direction that the predator is not expecting.HThis imbalance of liberalization within populations may also have advantages for individuals. Whereas most co-operative interactions require participants to react similarly, there are some situations - such as aggressive interactions - where it can benefit an individual to launch an attack from an unexpected quarter. Perhaps this can partly explain the existence of left-handers in human societies. It has been suggested that when it comes tohand-to-hand fighting, left-handers may have the advantage over the right-handed majority. Where survival depends on the element of surprise, it may indeed pay to be different.Questions 27-30Complete each sentence with the correct ending, A-F, below.Write the correct letter, A-F, in boxes 27-30 on your answer sheet.27 In the 1970s, Lesley Rogers discovered that28 Angelo Bisazza’s experiments revealed that29 Magat and Brown’s studies show that30 Vallortigara and Ghirlanda’s research findings suggest thatA liberalization is more common in some species than in others.B it benefits a population if some members have a different liberalization than the majority.C liberalization helps animals do two things at the same time.D liberalization is not confined to human beings.E the greater an animal’s liberalization, the better it is at problem-solving.F strong liberalization may sometimes put groups of animals in danger.Questions 31-35 Complete the summary below.Choose ONE WORD ONLY from the passage for each answer.Write your answers in boxes 31-35 on your answer sheet.Lesley Rogers’ 2004 Experimentliberalization is determined by both genetic and 31__________ influences. Rogers found that chicks whose eggs are given 32__________ during the incubation period tend to have a stronger liberalization. Her 2004 experiment set out to prove that these chicks were better at 33__________ than weakly lateralized chicks. As expected, the strongly lateralized birds in the experiment were more able to locate 34__________ using their right eye, while using their left eye to monitor an imitation 35__________ located above them.Questions 36-40Reading Passage 3 has eight paragraphs, A-H.Which paragraph contains the following information?Write the correct letter, A-H, in boxes 36-40 on your answer sheet.NB You may use any letter more than once.36 description of a study which supports another scientist’s findings37 the suggestion that a person could gain from having an opposing liberalization to most of the population38 reference to the large amount of knowledge of animal liberalization that has accumulated39 research findings that were among the first to contradict a previous belief40 a suggestion that liberalization would seem to disadvantage animalsQuestion 27答案:D关键词:Lesley Rogers定位原文:B段最后两句“That strongly suggested that the right side … animal liberalization.”解题思路:利用人名Lesley Rogers作为关键词,定位到B段,关于Lesley Rogers所做的实验发现,需要具体定位到B段最后2句话,“这有力地表明,在这些行为的学习中,小鸡的大脑右侧发挥了很少或没有作用。
3. the spirit of law
• • • • • • • • • • • • •
conspire [kən'spaiər] v 阴谋,密谋(against) 阴谋,密谋( ) conspiracy [kən'spirəsi] n 阴谋 stab [stæb] v 刺杀 odious ['əudiəs] a 讨厌的,可恶的 讨厌的, inflame [in'fleim] v 使燃烧,使愤怒 使燃烧, regency ['ri:dʒənsi]n摄政期 摄政期 exasperate [ig'zɑ:spəreit] əris] n贪婪 贪婪 abet [ə'bet] v教唆,唆使;煽动 教唆, 教唆 唆使; lavish ['læviʃ] a 慷慨的,大方的 ʃ 慷慨的, enjoin [in'dʒɔin] v 命令,禁止(from) 命令,禁止( ɔ ) ordain [ɔ:'dein] v 规定,决定,颁布命令 规定,决定, ɔ toll [təul] n (路桥隧道等的)通行费 路桥隧道等的)
• 一个叫做贝欧尼乌斯的人是奥赛尔城的伯爵;他派其儿子 一个叫做贝欧尼乌斯的人是奥赛尔城的伯爵; 穆莫路斯带着银钱给贡特兰,企图继续他的职位; 穆莫路斯带着银钱给贡特兰,企图继续他的职位;这个儿 子以自己的名义出了钱,并取得了他父亲的位置。 子以自己的名义出了钱,并取得了他父亲的位置
• The kings had already begun to spoil their own favours. favours.
1. ----- Changes in the Offices and in the Fiefs
(官职和采地的变更 官职和采地的变更) 官职和采地的变更 • in the reign of Clovis’s grandchildren 在克罗维斯的子孙时代 In the reign of 在…朝代,在…统治时期 朝代, 朝代 统治时期 eg. in the reign of Song/ Tang / Qing Dynasty in the reign of Mao Zedong/ Deng Xiaoping
康泰纳仕时尚造型王国的幕后英雄
康泰纳仕时尚造型王国的幕后英雄来源:康泰纳仕时尚设计培训中心风格因时尚而生,真正的时尚不仅更需要有非凡的造型设计。
接下来我们要向你介绍当今世界上最优秀的五位天才造型师,同样也是康泰纳仕时尚王国的幕后英雄。
"我就是时尚"GRACE CODDINGTON1941-今GRACE CODDINGTON而作为美国Vogue的创意总监,她是唯一能抢走Anna Wintour风头的天才人物。
Grace的人生极具传奇,一个因为模特而进入时尚圈的乡下女孩,在成为顶级超模的巅峰时因为一场车祸意外而致使面部毁容,历经多次整形后的她退居时尚幕后却意外成为当今世界最顶级的时尚造型大师和创意天才。
AMERICAN VOGUE JUNE 2015FRESH HEIR PHOTOGRAPHER:ANNIE LEIBOVITZ STYLING:GRACE CODDINGTON"摇滚酷男孩"PANOS YIAPANISPANOS YIAPAINIS来自雅典的Panos本身形象就极具摇滚明星范,而这也直观表现了他的个人品味和艺术灵感,作为将摇滚、朋克和军装元素带入高级时装的他常常打破常规,帮助很多品牌拍出了让人印象深刻的广告,而这就也不难理解为什么他会备受年轻潮牌Rick Owens的青睐。
VOGUE HOMMES INTERNATIONAL S/S 2013FREE AS A BIRDPHOTOGRAPHER:ALADAIR MCLELLANSTYLING:PANOS YIAPAINIS在2014年他还和中国"亲密接触"了一把,作为Lane Craford春夏广告的造型指导,你觉得他给李冰冰做的这套造型如何?LANE CRAWFORD S/S 2014PHOTOGRAPHER:MERT ALAS AND MARCUS PIGGOTTSTYLING:PANOS YIAPAINIS"时尚反叛者"KATIE GRAND1971-今KATIE GRAND1994年毕业于中央圣马丁艺术学院的Katie是当今时尚界最顶级的造型师之一,如今作为另类时尚杂志《Love》的主编,你看到的大部分"惊世骇俗"的造型都出自她手。
UCLA CSST教授名单
Professor Website
/faculty/abramson.html /institution/personnel?personnel_id=46178 /faculty-alwan.htm /sph/institution/personnel?personnel_id=813221 /html/arnold.htm /Research/Banerjee/ /faculty/faculty_page?id=74&area=6 /faculty/black/index.html /institution/personnel?personnel_id=569223 /overview /directory/faculty/index.php?f_name=bruinsma / /~jburke/ /~rcandler/people/Candler.htm /institution/personnel?personnel_id=45403 / /people/faculty/ivan-catton0 /~chan/index.html /~hsel/ppl_mcfrankchang.html /indivfaculty.php?FacultyKey=2214 /academics/faculty/index.htm /institution/personnel?personnel_id=1526072 /OEB.html /tchou/ /pchristo/index.html /~wwc/ /~chui/ /index.aspx?page=243&recordid=376 /directory/faculty/index.php?f_name=cline /MarkCohen/ /~cong/ /~kristen/ /~darwiche/ /~cdeutsch/ /academics/faculty/dhir.htm /~dolecek/ /institution/personnel?personnel_id=561327 /people/elashof2.htm /sofia/ /people/estrin/ /institution/personnel?personnel_id=45766 /biochem/Faculty/Feigon/ /institution/personnel?personnel_id=264599 /~fovell/index.html /dir/ /institution/personnel?personnel_id=263960 /dept/Organic/Garrell/Garrell_Lab.html / /faculty/cheng/ /
阿尔瓦阿尔托---帕米欧结核病疗养院
黄色的地面给人一种温暖关怀的感觉。
楼梯的处理也考虑到病人使用的需要,封闭式拦板消除了可能出现的卫生死 角。楼梯扶手转角处被做成弧形,靠墙扶手,局部护板简单实用。
考虑到结核病的传染性问题。将处在门厅中的咨询服务台全封闭。 以保证医护人员的健康安全。
病房的内部装修采用环 境柔化的手法,以木板 做天花、地板,墙面采 用柔和质感的材料饰面; 整个病房采用淡雅的暖 色,以使病人精神放松。
整个疗养院建筑顺着地势 起伏向西张开的平面布局, 又引入了当地的主导风向。
停车场
厨房、锅炉房、备 餐间和仓库等
1F 行政区 2、3F 医务院 4F 餐厅和文娱阅览室
日光台
病房(共7层 朝南)
❖ 疗养院最重要的部分是七层的病房大楼,呈一字排开,面对原野和树林, 每个房间都有良好的光线,新鲜的空气和广阔的视野。
❖ 屋顶平台
❖ 病房大楼屋顶是平屋顶,屋顶平台的侧墙前是 松树种植槽,以此来为者提供新鲜的氧气。
❖ 日光台
以六根扁柱作为主要支撑,楼板四面悬挑,外墙不承重,病人可以在此充分享受自然 和阳光,每个楼层的病人都可以到达本层的阳光台来进行活动,这个阳光平台也成为 了病人们谈话交流的场所。
室内采用淡雅的色彩,细节充分考虑到病人的起居需要,而不是单纯追求理 想化和抽象化的造型模式。疗养院各处都被做成弧形,这是一种人性化关怀, 打扫卫生也更方便。
核心:建筑人性化的探求。
谢谢
19
自然山林环境
芬兰大部分地区属亚寒带针叶林气候,森林资源极为丰富,全国森林覆盖率达70%, 即为木材加工工业提供了优质原料,也早就了芬兰美丽的自然风光。也是阿尔特托设 计风格的根本所在。阿尔托设计中多次出现过波浪形曲线是对芬兰波澜曲折的地形和 海岸线的模仿。北国的寒冷赋予了阿尔托对光线独特的感知力,这在他一生的建筑实 践中都起着至关重要的作用。
外研版高中英语必修第三册Unit4 Section Ⅳ D学案
Section ⅣDeveloping ideas-Writing描写一件艺术品本单元的写作任务是描写一件艺术品,属于说明文。
内容一般包括该艺术品的作者、创作背景、特点以及作者所表达的意境或内涵等。
(一)基本框架1.开头:艺术品简介;2.主体:具体描述;3.结尾:总结、评价。
(二)常用表达1.The Sunflo w er is one of Van Gogh's masterpieces.《向日葵》是凡·高的代表作之一。
2.This is a painting by the Spanish artist,Pablo Picasso,considered to be the greatest Western artist of the twentieth century.这是西班牙画家巴勃罗·毕加索的一幅油画,他被认为是20世纪西方最伟大的画家。
3.My favorite painting is the Eight Horses painting.我最喜欢《八骏图》这幅画了。
4.The whole match of colours is very harmonious.整个色彩的搭配非常协调。
5.Each of the four clay figures looks different and lifelike.四个泥人神态各异,栩栩如生。
6.The group of flame-like sunflowers show his passion of life.那一团团火焰般的向日葵,表达出了他对生活的热爱。
7.In this painting,Picasso showed his feelings about what had happened to the town.在这幅画中,对于这座城镇所遭遇的一切,毕加索表达了自己的情感。
8.It will encourage me to go forward bravely in my study and life.它将鼓励着我在学习和生活中勇往直前。
巴特罗公寓安东尼高迪(陆旭丹)课件
从小就显示出对建筑的浓厚兴 趣和天赋。
1873年毕业于巴塞罗那建筑 学院。
设计理念
融合自然与建筑。 使用有机形态和曲线设计。
强调流动的空间和动感。 倡导“加泰罗尼亚新艺术”运动。
代表作品
巴特罗公寓(Casa Batlló)
位于西班牙巴塞罗那,以其独特的外观和内部设计而闻名。
米拉公寓(Casa Milà)
巴特罗公寓的设计充分考虑了居民的需求和生活习惯,体现了人文关怀的精神。现代建筑设计应关注人 的需求和情感,注重营造舒适、宜居的环境。
05
巴特罗公寓的参观信息
开放时间
周一至周日
9:00-19:00
特殊时间
每年12月25日和1月1日闭馆
注意事项
请提前查询具体开放时间,避免白跑一趟
门票价格
01
全票:15欧元
空间艺术
要点一
总结词
巴特罗公寓的空间艺术是其重要的艺术特色之一,通过空 间布局和流动的处理,展现了高迪对空间艺术的深刻理解 和独特创造力。
要点二
详细描述
巴特罗公寓的空间布局非常独特,通过各种曲线和自然形 态的处理,使得整个建筑的空间流动非常自然和流畅。高 迪运用了大量的曲线和自然形态,使得整个建筑的空间布 局仿佛是从自然中生长出来的一样,给人留下了深刻的印 象。此外,巴特罗公寓的空间布局还非常注重功能性,使 得整个建筑不仅具有美学价值,还有着很高的实用价值。
绘画艺术
总结词
巴特罗公寓的绘画艺术是其重要的艺术 特色之一,通过色彩和图案的处理,展 现了高迪对绘画艺术的深刻理解和独特 创造力。
VS
详细描述
巴特罗公寓内部的墙壁和天花板都充满了 各种色彩和图案的绘画,这些绘画不仅具 有装饰性,还通过其色彩和图案的处理展 现了高迪对绘画艺术的独特理解。高迪运 用了大量的自然元素和抽象形态,使得整 个建筑仿佛是一个大型的绘画作品,给人 留下了深刻的印象。
为什么说Stefan Simchowitz是艺术界中的特朗普
为什么说Stefan Simchowitz是艺术界中的特朗普作者:Abigail来源:《财富堂》2017年第03期先科普一下Stefan Simchowitz:此人是艺术收藏家、策展人、艺术顾问。
生于南美,居于洛杉矶。
是社交网络狂热的爱好者,用来自我推广,发掘新兴艺术家以及推广他投资的艺术家。
他认为在艺术界,社交网络拥有与艺术评论,艺术论坛等同样权威和重要的影响力。
同时,他热衷于炒作未成名的年轻艺术家,并为此受到艺评人的抨击,他主要通过大量持有他们的作品,快速炒作后,出售给他富人圈层的生意伙伴来获取高额的利润。
他的艺术收藏和投资体系,颠覆了艺术界传统的学术与市场认可方式,摒弃了建立在艺术领域严密的组织架构之上的原则。
他从不避讳谈论艺术市场运作的幕后故事和交易,不少人认为他将艺术“去光环化”及“去精英化”了,按照大众化平民化的方式建造自己的艺术帝国,曾被评为当代艺术世界中最有影响力的人物。
总的来说,媒体对Stefan Simchowitz毁誉参半,著名毒舌艺评人Christian Viveros-Fauné就曾称他为“艺术界中的特朗普”“他们都像是从好莱坞大片里走出来的超级恶霸”,并特别为此观点撰文。
“嘿,混蛋!”这句电影《回到未来》里男主角Biff Tannen的标志性台词,却能引领我们在普罗大众中,发现两位活生生的Biff的模仿者——新任美国总统特朗普和Stefan Simchowitz,两者是同样的傲慢粗鲁,无论戏里戏外。
首先,关于特朗普,如果您觉得我的话不那么可信,那么请来听听TED CRUZ在5月的演讲。
TED不仅称呼他的劲敌特朗普为“亵渎女性的家伙”“超级大话王”“自恋狂”,还清清楚楚地分析了那位电影里的恶霸与我们的刚刚当选的特朗普之间的相似之处。
“如果有任何人看过电影回到未来的话,就会发现编剧完全是以特朗普为原型来塑造BIFF 这个人物的,漫画般的夸张讽刺,描绘出这个傲慢自负的丑角。
CurriculumVita-Chiao-Yao(Joe)She-CAS
Curriculum Vita - Chiao-Yao (Joe) SheEducation:1957 - B.S., Taiwan University, Taipei, Taiwan1961 - M.S., North Dakota State University, Fargo, North Dakota1964 - Ph.D., Stanford University, Stanford, CaliforniaExperience:1975-Present Professor of Physics, Colorado State University, Fort Collins, CO1968- 1971 Assistant Professor of Physics, Colorado State University1971- 1975 Associate Professor of Physics, Colorado State University1964 - 1968 Assistant Professor of Electrical Engineering, The University of Minnesota Honors, Memberships and Services:Fellow of the Optical Society of AmericaMember of APS, AGU1976 Research Publication Award, Naval Research Laboratory, Washington, D.C.1978 President of the Rocky Mountain Section of OSA.1987 Burlington Northern Faculty Achievement Award, Colorado State University 1988-1989 Golden Screw (Teaching) Award, Colorado State University1988, 1995 On NSF Review Panels for Research Initiation Awards, Lightwave Technology Program, and Optical Science and Engineering, respectively1992-1994 Member, AMS Committee on Laser Studies of the Atmosphere1993-1995 Member, CLEO/IQEC Program Committee1994-1997 Member, Arecibo Users and Scientific Advisory Committee, N.A.I.C.1989-2005 Fellow, Coop. Institute for Research in the Atmosphere, Colorado State University1997-2000 Member, NSF CEDAR Science Steering Committee2000-2001 Fulbright Research Award, Norway2003NSF/CEDAR Workshop – CEDAR Lecture Prize2003AGU Editor’s Citation – Outstanding Reviewer for Geophysics Research Letters 2005 Included in the 60th Diamond Edition of Marquis Who’s Who in AmericaBook Chapter and EditingWilliam B. Grant, Edward V. Browell, Robert T. Menzies, Kenneth Sassen and Chiao-Yao She (Editors), Selected Papers on Laser Applications in Remote Sensing, SPIE Milestone Series, MS 141 (1997).Research Interest and Current SupportThe research interests of Prof. She have been broad and often interdisciplinary. He has developed new laser measurement techniques for solving basic as well as applied problems. For the past 25 years, he has made a series of innovations in two high-spectral-resolution lidars: Rayleigh-Mie lidar and narrowband sodium lidar for atmospheric temperature and wind measurements, respectively in the lower and upper atmosphere. The narrowband sodium lidar, now capable of measuring mesopause region (80-110km in altitude) temperature and wind on 24-hour continuous basis, has enjoyed considerable success with continued NSF funding for upper atmospheric research since 1989. Its technology and innovations were and are beingduplicated by National and International Middle and Upper Atmospheric Research Facilities. In the past ten years, Prof. She’s research has been supported by NSF, NASA and AFOSR.Research PublicationsProfessor She has co-authored about 170 papers in refereed journals. A selected list since 1998:109. She, C. Y. and U. von Zahn, The concept of two-level mesopause: Support through new lidar observation, J.Geophys. Res., 103, 5855 - 5863, 1998.110. She, C. Y., S. W. Thiel and D. A. Krueger, Observed episodic warming at 86 and 100 km between 1990 and 1997: Effects of Mount Pinatubo eruption, Geophys. Res. Lett., 25, 497 - 500, 1998.114. She, C. Y., and R. P. Lowe, Seasonal temperature variations in the mesopause region at mid-latitude: comparison of lidar and hydroxyl rotational temperatures using WINDII/UARD OH height profiles, J. Atmo.Solar-Terr. Physics, 60, 1573-1583, 1998.119. She, C. Y., S. S. Chen, Z. L. Hu, J. Sherman, J. D. Vance, V. Vasoli, M. A. White, J. R. Yu, and D. A.Krueger, Eight-year climatology of nocturnal temperature and sodium density in the mesopause region (80 to 105 km) over Fort Collins, CO (41o N, 105o W), Geophys. Res. Lett., 27, 3289 - 3292, 2000.120. She, Chiao-Yao, Spectral structure of laser light scattering revisited: bandwidths of nonresonant scattering lidar, Appl. Opt. 40, 4875-4884, 2001.124. She, C. Y., Joe D. Vance, B. P. Williams, D. A. Krueger, H. Moosuller, D. Gibson-Wilde, and D. C. Fritts, Lidar studies of atmospheric dynamics near polar mesopause, EOS, Transactions, American Geophysical Union, 83 (27), P.289 and P.293, 2002.125. She, C. Y., Songsheng Chen, B. P. Williams, Zhilin Hu, David A. Krueger and M. E. Hagan, Tides in the mesopause region over Fort Collins, CO (41o N, 105o W) based on lidar temperature observations coveringfull diurnal cycles, Jour. Geophys. Research, 107, N. 0, 10.1029/2001JD001189, 2002.134. She, C. Y., Jim Sherman, Tao Yuan, B. P. Williams, Kam Arnold, T. D.Kawahara, Tao Li, LiFang Xu, J. D.Vance and David A. Krueger, The first 80-hour continuous lidar campaign for simultaneous observation of mesopause region temperature and wind, Geophys. Res. Lett.30, 6, 52, 10.1029/2002GL016412, 2003.136. She, C. Y., and D. A. Krueger, Impact of natural variability in the 11-year mesopause region temp erature observation over Fort Collins, CO (41N, 105W), Adv. Space Phys. 34, 330-336, 2004.137. Beig, G.; Keckhut, P.; Lowe, R. P.; Roble, R. G.; Mlynczak, M. G.; Scheer, J.; Fomichev, V. I.; Offermann,D.; French, W. J. R.; Shepherd, M. G.; Semenov, A. I.; Remsberg,E. E.; She, C. Y.; Lübken,F. J.; Bremer, J.;Clemesha, B. R.; Stegman, J.; Sigernes, F.; Fadnavis, S. (2003), Review of mesospheric temperature trends,Rev. Geophys., Vol. 41, No. 4, 1015, 10.1029/2002RG000121.138.Chiao-Yao She, Initial full-diurnal-cycle mesopause region lidar observations: Diurnal-means and tidal perturbations of temperature and winds over Fort Collins, CO (41N, 105W), PSMOS 2002, J. Atmo. Solar-Terr. Phys. 66, 663-674, 2004.139. She, C. Y.,Tao Li, Biff P. Williams, Tao Yuan and R. H. Picard (2004), Concurrent OH imager and sodium temperature/wind lidar observation of a mesopause region undular bore event over Fort Collins/Platteville, CO, J. Geophys. Res. 109, D22107, doi:10.1029/2004JD004742.140. She, C.Y., T. Li, R. C. Collins, T. Yuan, B. P. Williams, T. D. Kawahara, J. D. Vance, P. Acott, D. A. Krueger,H.-L. Liu, and M. E. Hagan (2004), Tidal perturbations and variability in the mesopause region over FortCollins, CO (41N, 105W): Continuous multi-day temperature and wind lidar observations, Geophys. Res. Lett., 31, L24111, doi:10.1029/2004GL021165.142. Fritts, D. C., B. P. Williams, C. Y. She, J. D. Vance, r. Rapp, F.-J. L¨ubken, A. F. J. Schmidlin, A. M¨ullemann R. A. Goldberg (2004) Observations of extreme temperature and wind gradients near the summer mesopause during the MaCWAVE/MIDAS rocket campaign, Geophys. Res. Lett., 31, L24S06, doi:10.1029/2003GL019389.144. Tao Li, C. Y. She, Bifford P. Williams, Tao Yuan, Richard L. Collins, Lois M. Kieffaber and Alan W.Peterson (2005), Concurrent OH imager and sodium temperature/wind lidar observation of localized ripples over Northern Colorado, J. Geophys. Res. 110, D13110, doi:10.1029/2004JD004885146. Chiao-Yao She (2005), On atmospheric lidar performance comparison: from power aperture to power–aperture–mixing ratio–scattering cross-section, Modern Optics, 52, 2723-2729, DOI:10.1080/09500340500352618.147. She, C. Y., B. P. Williams, P. Hoffmann, R. Latteck, G. Baumgarten, J. D. Vance, J. Fiedler, P. Acott, D. C.Fritts, F.-J. Luebken (2006): Observation of anti-correlation between sodium atoms and PMSE/NLC in summer mesopause at ALOMAR, Norway (69N, 12E), J. Atmos. Solar-Terres. Phys. 68, 93-101.148. Yuan, T., C. Y. She, M. E. Hagan, B. P. Williams, T. Li, K. Arnold, T. D. Kawahara, P. E. Acott, J. D. Vance,D. A. Krueger and R. G. Roble (2006), Seasonal variation of diurnal perturbations in mesopause-regiontemperature, zonal, and meridional winds above Fort Collins, CO (40.6°N, 105°W), J. Geophys. Res. 111, D06103, doi:10.1029/2004JD005486.149. Xu, Jiyao, C. Y. She, Wei Yuan, C. J. Mertens, Marty Mlynzack, J. R. Russell (2006), Comparison between the temperature measurements by TIMED/SABER and Lidar in the midlatitude, J. Geophys. Res., 111, A10S09, doi:10.1029/2005JA011439.150. Xu, J., A. K. Smith, R. L. Collins, and C.-Y. She (2006), Signature of an overturning gravity wave in the mesospheric sodium layer: Comparison of a nonlinear photochemical-dynamical model and lidar observations, J. Geophys. Res., 111, D17301, doi:10.1029/2005JD006749.151. Sherman, J. P., and C.-Y. She (2006), Seasonal variation of mesopause region wind shears, convective and dynamic instabilities above Fort Collins, CO: A statistical study, J. Atmo. Solar-Terr. Physics, 68, 1061-1074. 154. Davis, D. S., P. Hickson, G. Harriot and C. Y. She (2006), Temporal variability of the telluric sodium layer, Optics Lett. 31, 3369-3371.155. She, Chiao-Yao, J. D. Vance, T. D. Kawahara, B. P. Williams, and Q. Wu (2007), A proposed all-solid-state transportable narrowband sodium lidar for mesopause region temperature and horizontal wind measurements, Canadian Journal of Physics, 85, 111 – 118.156. Gumbeli, J., Z. Y. Fan, T. Waldemarsson, J. Stegman, G. Witts, E. J. Llewellyn, C.-Y. She and J. M. C. Plane (2007), Retrieval of global mesospheric sodium densities from the Odin satellite, Geophys. Res. Lett.,. 34, L04813, doi:10.1029/2006GL028687.157. Li, T., C.-Y. She, H.-L. Liu, and M. T. Montgomery (2007), Evidence of a gravity wave breaking event and the estimation of the wave characteristics from sodium lidar observation over Fort Collins, CO (41_N, 105_W) , Geophys. Res. Lett.,. 34, L05815, doi:10.1029/2006GL028988.158. She, C.-Y., J. Yue and Z.-A. Yan, J. W. Hair, J.-J. Guo, S.-H. Wu and Z.-S. Liu (2007), Direct-detection Doppler wind measurements with a Cabannes-Mie lidar: A. Comparison between iodine vapor filter and Fabry-Perot interferometer methods, Applied Optics 46, 4434-4443.159. She, C.-Y., J. Yue and Z.-A. Yan, J. W. Hair, J.-J. Guo, S.-H. Wu and Z.-S. Liu (2007), Direct-detection Doppler wind measurements with a Cabannes-Mie lidar:B. Impact of aerosol variation on iodine vapor filter methods, Applied Optics 46, 4444-4454.161. Tao Li, C.-Y. She, Scott E. Palo, Qian Wu, Han-Li Liu, and Murry L. Salby (2008), Coordinated Lidar and TIMED observations of the quasi-two-day wave during August 2002-2004 and possible quasi-biennial oscillation influence, Advanced Space Research 41, 1462-1470.162. Liu, H.-L., T. Li, C.-Y. She, J. Oberheide, Q. Wu, M. E. Hagan, J. Xu, R. G. Roble, M. G. Mlynczak, and J. M.Russell III (2007), Comparative study of short term diurnal tidal variability, J. Geophys. Res.(In press).163. She, Chiao-Yao, and David A. Krueger (2007), Laser-Induced Fluorescence: Spectroscopy in the Sky, Optics & Photonic News (OPN), 18(9), 35-41.164. Li, T., C. -Y. She, H.-L. Liu, T. Leblanc, and I. S. McDermid, Sodium lidar observed strong inertia-gravity wave activities in the mesopause region over Fort Collins, CO (41°N, 105°W) J. Geophys.Res. 112, D22104, doi:10.1029/2007JD008681.165. Yuan T., C.-Y. She and D. A. Krueger, F. Sassi, R. Garcia, R. Roble, H.-L. Liu, and H. Schmidt (2008), Climatology of mesopause region temperature, zonal wind and meridional wind over Fort Collins, CO (41ºN, 105ºW) and comparison with model simulations, J. Geophys. Res. 113, D03105, doi:10.1029/2007JD008697. 166. Liguo Su, R. J. Coolins, D. A. Krueger and C.-Y. She, Statistical Analysis of Sodium Doppler Wind-Temperature Lidar Measurements of Vertical Heat Flux, J. Atm. Oceanic Tech. (In press).167. Yuan, T., C. Y. She, Hauke Schmidt, David A. Krueger, Steven Reising, Seasonal variations of semidiurnal tidal-period perturbations in mesopause region temperature, zonal and meridional winds above Fort Collins, CO(40.6°N, 105°W), J. Geophys. (In oress).168. Yue, J., S. L. Vadas2, C-Y She, et al. (2008), A study of OH imager observed concentric gravity waves near Fort Collins on May 11, 2004, Geophys. Res. Lett. (submitted).169. Vadas, S. L., J. Yue, C.-Y. She and P. Stamus (2008), The effects of winds on concentric rings of gravity waves from a thunderstorm near Fort Collins in May 2004, J. Geophys.Res., (submitted).。
UCLA_教授名单
卢臣泰范思哲培训资料
Germany MADE
导购培训资料
品牌历史:
1879 菲利普•卢臣泰在Selb附近的Erkersreuth创建了 Ph. Rosenthal 陶瓷厂& 公司。
1907 首个卢臣泰底部印章
1908 接管Thomas陶瓷厂(建立于1904年)
1950 公司缔造者菲利普•卢臣泰成为公司的首席执行官。
“今日的品牌形象等于明日的成功。
”
1961 卢臣泰旗下的一个独立品牌诞生“studio-line”
1965 卢臣泰转型为股份公司
1993 开始了与意大利著名时装设计大师詹尼.范思哲的合作。
2000 并购德国知名品牌Hutschenreuther陶瓷厂
2002 开始与Andy Warhol基金会的合作
2003 卢臣泰瓷器首次运往中国
2004 卢臣泰成立125年
品牌特点:功能与设计的结合。
传统与创新/设计你的生活/生活与艺术
来自世界各地150多名艺术家、建筑师、设计师先后为卢臣泰studio-line品牌设计过系列产品。
品牌荣誉:
卢臣泰公司已获得过全球400多项设计领域的大奖,其中最为著名的“Red dot”(红点)大奖,堪称工业设计领域中的“奥丝卡”大奖。
卢臣泰旗下的部份限量版艺术精品,目前被法国蓬皮杜艺术中心、美国大都会博物馆、美国芝加哥博物馆所收藏。
品牌系列:
Rosenthalstudio-line
Rosenthal classic
Rosenthal meet Versace Thomas Hutschenreuther
………
更多新品,尽请期待!。
欧洲术后镇痛指南
PostoperativePain Management –Good Clinical PracticeGeneral recommendationsand principles forsuccessful pain managementProduced in consultation with theEuropean Society of Regional Anaesthesiaand Pain TherapyPostoperativePain Management –Good Clinical PracticeGeneral recommendationsand principles forsuccessful pain managementProduced in consultation with theEuropean Society of Regional Anaesthesiaand Pain TherapyContents ContentsContents11. Introduction and objectives1 Although the choice of drugs shown here is indicative, adjustments will be required to take account ofindividual patient variation and are the responsibility of the prescribing physician.Effective postoperative pain management has a humanitarian role, but there are additional medical and economic benefits for rapid recovery and discharge from hospital. A number of factors contribute to effective postoperative pain management including a structured acute pain management team, patient education, regular staff training, use of balanced analgesia, regular pain assessment using specificassessment tools and adjustment of strategies to meet the needs of special patient groups, such as children and the elderly.Recent advances in pain control provide greater potential for effective postoperative management. This document reflects the opinions of a panel of European anaesthesiologists. Its aims are to raise awareness of recent advances in pain control and to provide advice on how toachieve effective postoperative analgesia. The recommendations and advice are general principles of pain management and do not provide detailed advice for specific surgical procedures.1Effective pain management is now an integral part of modern surgical practice. Postoperative pain management not only minimises patient suffering but also can reduce morbidity and facilitate rapid recovery and early discharge from hospital (see section 8, page 33), which can reduce hospital costs.23Pain is a personal, subjective experience that involves sensory,emotional and behavioural factors associated with actual or potentialtissue injury. What patients tell us about their pain can be very revealing,and an understanding of how the nervous system responds and adaptsto pain in the short and long term is essential if we are to make sense ofpatients’ experiences. The wide area of discomfort surrounding awound, or even a wound that has healed long ago, such as anamputation stump, is a natural consequence of the plasticity of thenervous system. An understanding of the physiological basis of pain ishelpful to the sufferer, and the professionals who have to provideappropriate treatment.According to the International Association for the Study of Pain (IASP),pain is defined as"An unpleasant sensory and emotional experience associated withactual or potential tissue damage, or described in terms of suchdamage."(IASP 1979)There is individual variation in response to pain, which is influenced bygenetic makeup, cultural background, age and gender. Certain patientpopulations are at risk of inadequate pain control and require specialattention. These include:G Paediatric patientsG Geriatric patientsG Patients with difficulty in communicating (due to critical illness,cognitive impairment or language barriers)Postoperative pain can be divided into acute pain and chronic pain:G Acute pain is experienced immediately after surgery (up to 7 days)G Pain which lasts more than 3 months after the injury is considered tobe chronic pain3. Physiology of pain 2. Goals of pain treatmentAcute and chronic pain can arise from cutaneous, deep somatic orvisceral structures. Surgery is typically followed by acute pain and correct identification of the type of pain enables selection of appropriate effective treatment. The type of pain may be somatic (arising from skin, muscle, bone), visceral (arising from organs within the chest and abdomen), or neuropathic (caused by damage or dysfunction in the nervous system). Patients often experience more than one type of pain.3.a. Positive role of painAcute pain plays a useful "positive" physiological role by:G Providing a warning of tissue damageG Inducing immobilisation to allow appropriate healing3.b. Negative effects of painShort term negative effects of acute pain include:G Emotional and physical suffering for the patientG Sleep disturbance(with negative impact on mood and mobilisation)G Cardiovascular side effects(such as hypertension and tachycardia)G Increased oxygen consumption(with negative impact in the case of coronary artery disease)G Impaired bowel movement(while opioids induce constipation or nausea, untreated pain mayalso be an important cause of impaired bowel movement or PONV*)G Negative effects on respiratory function(leading to atelectasis, retention of secretions and pneumonia)G Delays mobilisation and promotes thromboembolism(postoperative pain on mobilisation is one of the major causes fordelayed mobilisation)Long term negative effects of acute pain:G Severe acute pain is a risk factor for the development of chronicpain1G There is a risk of behavioural changes in children for a prolongedperiod (up to 1 year) after surgical painThere are two major mechanisms in the physiology of pain:G Nociceptive (sensory):Inflammatory pain due to chemical,mechanical and thermal stimuli at the nociceptors (nerves thatrespond to painful stimuli).G Neuropathic:Pain due to neural damage in peripheral nervesor within the central nervous system.During normal physiology, pain sensations are elicited by activity in unmyelinated (C-) and thinly myelinated (Ad-) primary afferent neurons that synapse with neurons is the dorsal horn of the spinal cord. Sensory information is then relayed to the thalamus and brainstem.Repetitive activation of C- nociceptive receptors produces alterations in central as well as peripheral nervous systems.3.c. The mechanism of peripheral pain sensitisationNormally, C- fibres (slow-conducting fibres that transmit dull aching pain) are silent in the absence of stimulation, but following acute tissue injury in the presence of ongoing pathophysiology, these nociceptors become sensitised and release a complex mix of pain and inflammatory mediators leading to pain sensations (Figure 1, page 6).1Several investigations into chronic pain have concluded that 20% to 50% of all patients with chronic pain syndromes started with acute pain following trauma or surgery, but the role of effective pain treatment in preventing this risk is not clear.* PONV = Postoperative Nausea and Vomiting.Figure 1.Mechanism of peripheral sensitisation3.d. The mechanism of central sensitisationThe responses in the CNS are primarily physiological. Centralsensitisation is a physiological process and, only if there is continual firing of C-nociceptors over time, will these processes leads to more chronic pain syndromes.Sustained or repetitive C-nociceptor activity produces alterations in the response of the central nervous system to inputs from the periphery.When identical noxious stimuli are repeatedly applied to the skin at a certain rate, there is a progressive build-up in the response of spinalcord dorsal horn neurons (known as ‘wind up’). This allows the size of the dorsal horn neuron’s receptive field to grow (Figure 2). This process,called central sensitisation, occurs with any tissue damage. As with sensitisation of primary afferent nociceptors, this sensitisation of central pain transmission is a normal physiological response of the undamaged nervous system.Figure 2.Pain mediatorsGUnexpected intense pain, particularly if associated with altered vital signs, (hypotension, tachycardia, or fever), is immediately evaluated. New diagnoses, such as wound dehiscence, infection, or deep venous thrombosis, should be considered.GImmediate pain relief without asking for a pain rating is given to patients in obvious pain who are not sufficiently focused to use a pain rating scale.GFamily members are involved when appropriate.4.a. Specific tools for pain assessmentSpecific pain assessment scales are used to quantify pain. The use of one scale within a hospital ensures that everyone in the team "speaks the same language"regarding the intensity of pain. The patient's own report is the most useful tool. The intensity of pain should therefore be assessed as far as possible by the patient as long as he/she is able tocommunicate and express what pain feels like. Always listen to and believe what the patient says.A number of different patient self-assessment scales are available (Figure 3, page 12):A. Facial expressions: a pictogram of six faces with differentexpressions from smiling or happy through to tearful. This scale is suitable for patients where communication is a problem, such as children, elderly patients, confused patients or patients who do not speak the local language.B. Verbal rating scale (VRS): the patient is asked to rate their pain on a five-point scale as "none, mild, moderate, severe or very severe".Assessment of pain is a vital element in effective postoperative pain management. The principles of successful pain assessment are shown in Table 1.44. Assessment of pain4G The treatment strategy to be continued is discussed by the physician responsible for the patient in conjunction with the ward nurses.GThe physician and nurses pay attention to the effects and side effects of the pain treatment.C. Numerical rating scale (NRS): This consists of a simple 0 to 5 or 0 to 10 scale which correlates to no pain at zero and worst possible pain at 5 (or 10). The patient is asked to rate his/her pain intensity as a number.D. Visual analogue scale (VAS): This consists of an ungraduated,straight 100 mm line marked at one end with the term " no pain" and at the other end "the worst possible pain". The patient makes a cross on the line at the point that best approximates to their pain intensity.The VRS and NRS are the most frequently used assessment tools in the clinical setting while the VAS scale is primarily used as a research tool.4.b. Selection of suitable assessment tool (Figure 3, page 12):When selecting a pain assessment tool ensure that:GIt is appropriate for the patient's developmental, physical, emotional, and cognitive statusGIt meets the needs of both the patient and the pain management team4.c. DocumentationDocument pain regularly, take appropriate action and monitor efficacy and side effects of treatment. Record the information in a well-defined place in the patient record, such as the vital sign sheet or a purpose-designed acute pain chart.GThe nurse responsible for the patient reports the intensity of pain and treats the pain within the defined rules of the local guidelines. GThe physician responsible for the patient may need to modify theintervention if evaluation shows that the patient still has significant pain.44Faces painassessmentscale(Fig A) Patientable to communicatewell ?VRS painassessmentscale(Fig B)NRSassessmentscale(Fig C)VASassessmentscale(Fig D) NoYesChoice of assessment tool12Fig A. Alternatecoding Fig B.Fig C. Fig D.G Select a pain assessment tool, and teach the patient to use it.Determine the level of pain above which adjustment of analgesia or other interventions will be considered.G Provide the patient with education and information about pain control.GEmphasise the importance of a factual report of pain, avoiding stoicism or exaggeration.The "Patient Information Project" is a useful source of information for patients who require information about anaesthesia and postoperative pain management. This is a joint project between the Royal College of Anaesthetists and the Association of Anaesthetists of Great Britain and Ireland, together with patient representative groups. The website is:Patients are unlikely to be aware of postoperative pain treatment techniques and as the success of pain relief is influenced by theirknowledge and beliefs, it is helpful to give patients (and parents in case of children) detailed information about postoperative pain and pain treatment. Adequate information gives the patient realistic expectations of the care that can be provided (pain relief, not a "pain free status"). This information can include:G The importance of treating postoperative pain G Available methods of pain treatment G Pain assessment routinesG Goals (optimum pain scoring) (see section 2, page 2)GThe patient's participation in the treatment of painInformation for the patient can be given in different ways (in combination):G Verbal informationGWritten and/or audiovisual information -Brochures -Wall posters -Video films -Web pagesA preoperative discussion with the patient and relatives can include the following:GDiscuss the patient's previous experiences with pain and preferences for pain assessment and management.GGive the patient information about pain management therapies that are available and the rationale underlying their use.GDevelop with the patient a plan for pain assessment and management.141555. Patient education51716Effective treatment of postoperative pain includes a number of factors,including good nursing, non-pharmacological techniques, such as distraction, and balanced (multimodal) analgesia to provide adequate pain relief with optimal drug combinations used at the lowest effective doses.6.a. Pharmacological methods of pain treatment 1Postoperative pain management should be step-wise and balanced (Figure 4, page 18). The four main groups of analgesic drugs used for postoperative pain management are shown in Table 2 opposite, with examples of drugs listed in each group.6.a.i. Balanced (multimodal) analgesiaBalanced (multimodal) analgesia uses two or more analgesic agents that act by different mechanisms to achieve a superior analgesic effect without increasing adverse events compared with increased doses of single agents. For example, epidural opioids can be administered in combination with epidural local anaesthetics; intravenous opioids can be administered in combination with NSAIDs, which have a dose sparing effect for systemically administered opioids.Balanced analgesia is therefore the method of choice wherever possible,based on paracetamol and NSAIDs for low intensity pain with opioid analgesics and/or local analgesia techniques being used for moderate and high intensity pain as indicated (Figure 4, page 18).66. Treatment optionsTable 2Pharmacological options of pain managementNon-opioid analgesicsParacetamolNSAIDs, including COX-2 inhibitors*Gabapentin, pregabalin 2Weak opioidsCodeine TramadolParacetamol combined with codeine or tramadol Strong opioidsMorphine Diamorphine Pethidine Piritramide Oxycodone Adjuvants**Ketamine Clonidine* At the time of writing, COX-2 inhibitor drugs are subject to scrutiny by international regulatory bodies with regard to adverse outcomes when used for long-term oralprescription or for pain relief in patients with cardiovascular problems such as myocardial infarction, angina pectoris, hypertension. Rofecoxib has been withdrawn fromsales and prescription of valdecoxib has been suspended pending further research into its adverse events profile for cardiovascular morbidity and the occurrence of severemuco-cutaneous side effects. The injectable COX-2 inhibitor, parecoxib remains available for short-term use in treating postoperative pain. All NSAIDs should be used with care in patients with cardiovascular disease.** These adjuvants are not recommended for routine use in acute pain management because of their adverse side effects. Their use should be restricted to specialists in managing pain problems.62Gabapentin and pregabalin are approved for pain management but at the time of writing there is little published data to recommend the use of these drugs for acute pain management.1The example doses given are indicative and do not take account of individual patient variation.196.a.ii. Opioids 1Severeintensity painFor example:ThoracotomyUpper abdominal surgery Aortic surgery Knee replacementModerateintensity painFor example:Hip replacement Hysterectomy Jaw surgeryMildintensity painFor example:Inguinal hernia VaricesLaparoscopy(i) Paracetamol and wound infiltration with local anaesthetic (ii) NSAIDs (unless contraindicated) and(iii) Regional block analgesiaAdd weak opioid or rescue analgesia with small increments of intravenous strong opioid if necessary(i) Paracetamol and wound infiltration withlocal anaesthetic (ii) NSAIDs (unless contraindicated) and (iii) Peripheral nerve block(single shot or continuous infusion) or opioid injection (IV PCA)(i) Paracetamol and woundinfiltration with local anaesthetic (ii) NSAIDs (unlesscontraindicated) and (iii) Epidural local analgesia ormajor peripheral nerve or plexus block or opioid injection (IV PCA)1 The examples given here represent levels of pain commonly experienced and are subject to individual variation and contra-indications may apply.Figure 4Treatment options in relation to magnitude of postoperative pain expected following different types of surgery 1Table 3Morphine and weak opioidsMorphine Administration(i) Intravenous.(ii) Subcutaneous by continuous infusion or intermittent boluses via indwelling cannula.(iii) Intramuscular (not recommended due to incidence of pain. 5-10 mg 3-4 hourly).Dosage:IV PCABolus: 1-2 mg, lockout: 5-15 min (usually 7-8 min),no background infusion.Subcutaneous0.1-0.15 mg/kg 4-6 hourly, adapted in relation to pain score, sedation and respiratory rate.Monitoring Pain score, sedation, respiratory rate, side mentsSide effects such as nausea, vomiting, sedation and apnoea.No other opioid or sedative drug should be administered.18continued overleaf1 The doses and routes of administration of drugs described above are general examples and each patient should beassessed individually before prescribing.2120 6.a.iii. Non-opioids 1Table 5Combination of codeine + paracetamolAdministration Oral.DosageParacetamol 500 mg + codeine 30 mg. 4 x 1 g paracetamol/day.Monitoring Pain score, sedation, side effects.CommentsAnalgesic action is likely to be due to conversion to morphine. A small number of patients derive no benefit due to absence of the converting enzyme.NV = nausea and vomitingTramadol Administration(i) Intravenous: inject slowly (risk of high incidence of NV).(ii) Intramuscular.(iii) Oral administration as soon as possible.Dosage 50-100 mg 6 hourly.Monitoring Pain score, sedation, respiratory rate, side mentsTramadol reduces serotonin and norepinephrine reuptake and is a weak opioid agonist.In analgesic efficiency, 100 mg tramadol is equivalent to 5-15 mg morphine.Sedative drugs can have an additive effect.Table 4ParacetamolAdministration(i) Intravenous: Start 30 min before the end of surgery.(ii) Oral administration as soon as possible.Duration: as long as required.Dosage4 x 1 g paracetamol/day (2 g propacetamol/day).Dose to be reduced (e.g. 3 x 1 g/day) in case of hepatic insufficiency.Monitoring Pain scores.CommentsShould be combined with NSAID and/or opioids or loco-regional analgesia for moderate to severe pain.1 The doses and routes of administration of drugs described above are general examples and each patient should beassessed individually before prescribing.1 The doses and routes of administration of drugs described above are generally examples and each patient should be assessed individually before prescribing.Table 3 (continued)Codeine Administration OralDosage3 mg/kg/day combined with paracetamol.A minimum of 30 mg codeine/tablet is required.Monitoring Pain score, sedation, side effects.CommentsAnalgesic action is likely to be due to conversion to morphine. A small number of patients derive no benefit due to absence of the converting enzyme.6.a.iv. AdjuvantsIn addition to systemic administration of NSAIDs or paracetamol, weak opioids and non-opioid analgesic drugs may be administered "on request" for moderate or severe pain. These include ketamine and clonidine. Clonidine can be administered orally, intravenously orperineurally in combination with local anaesthetics. However, the side effects could be significant. The most important ones are hypotension and sedation. Ketamine can be administered via oral, intramuscular or intravenous routes. It has also significant side effects.6.a.v. Regional analgesiaContinuous Central Neuraxis Blockade (CCNB)CCNB is one of the most effective forms of postoperative analgesia, but it is also one of the most invasive. However, CCNB remains the first choice for a number of indications, such as abdominal, thoracic, and major orthopaedic surgery, where adequate pain relief cannot be achieved with other analgesia techniques NB can be achieved via two routes:G Continuous epidural analgesia - the recommended first choice GContinuous spinal analgesia - should be limited to selected cases only, as there is less experience with this techniquePostoperative epidural analgesia is usually accomplished with acombination of a long-acting local anaesthetic and an opioid, in dilute concentrations. Long-acting local anaesthetics are preferred because they are associated with less tachyphylaxis. Maintenance techniques in epidural analgesia include:GContinuous Infusion (CI): An easy technique that requires littleintervention. The cumulative dose of local anaesthetic is likely to be higher and side effects are more likely than with the other two techniques.2322Table 6NSAIDs 1Administration(i) Intravenous: administration should start at least 30-60 min before end of surgery.(ii) Oral administration should start as soon as possible.Duration: 3-5 days.Dosage examples(i) Conventional NSAIDs include:ketorolac: 3 x 30-40 mg/day (only IV form)diclofenac: 2 x 75 mg/day ketoprofen: 4 x 50 mg/day (ii) Selective NSAIDs include:meloxicam 15 mg once dailyCOX-2 inhibitors are now licensed for postoperative pain management. They are as efficient as ketorolac but reduce GI side effects. Examples include: parecoxib: 40 mg followed by 1-2 x 40 mg/day (IV form) or celecoxib: 200 mg/day. However, there is some debate due to cardiovascular risks in patients witharteriosclerosis. *See note below Table 2, page 17MonitoringPain scores.Renal function in patients with renal or cardiac disease, elderly patients, or patients with episodes of severe hypotension. Gastrointestinal side effects. Non-selective NSAIDs would be combined with proton inhibitors (i.e. omeprasol) in patients at risk of gastrointestinal side effects.CommentsCan be added to the pre-medication.Can be used in association with paracetamol and/or opioids or local regional analgesia for moderate to severe pain.1 The doses and routes of administration of drugs described above are general examples and each patient should beassessed individually before prescribing.2524Continuous Peripheral Nerve Blockade (CPNB)Continuous peripheral nerve blocks are being increasingly used since they may provide more selective but still excellent postoperative analgesia with reduced need for opioids over an extended period.Peripheral nerve blocks (PNBs) avoid the side effects associated with central neuraxial blockade, such as hypotension and wide motorblockade with reduced mobility and proprioception, and complications such as epidural haematoma, epidural abscess and paraparesis.After major orthopaedic lower limb surgery, clinical studies showperipheral nerve blocks are as effective as epidural and that both are better than IV opioids. Examples of drugs and dosages for use in continuous peripheral analgesia are shown in Table 8.Table 8Examples of local anaesthetics and doses in continuous peripheral nerve analgesiaG Intermittent Top-up: Results in benefits due to frequent patient/staff contact but can produce a high staff workload and patients may have to wait for treatment.GPatient-Controlled Epidural Analgesia (PCEA): This technique produces high patient satisfaction and reduced dose requirements compared with CI. However, sophisticated pumps are required and accurate catheter position is important for optimal efficacy.Examples of drugs and dosages for use in continuous epidural analgesia are shown in Table 7.Table 7Examples of local anaesthetics and opioids and doses in epidural analgesia 1LocalRopivacaineSufentanil 0.5-1 µg/ml anaesthetics/opioids0.2% (2 mg/ml) or orFentanyl 2-4 µg/mlLevobupivacaine or Bupivacaine0.1-0.2% (1-2 mg/ml)Dosage for continuous 6-12 ml/hinfusion (thoracic or lumbar level)Dosage for patient Background: 4-6 ml/h controlled infusion Bolus dose: 2 ml (2-4 ml)(lumbar or thoracic)2Minimum lockout interval 10 min (10-30 min)Recommended maximum hourly dose (bolus + background): 12 ml1 The tip of the catheter should be placed as close as possible to the surgical dermatomes: T6-T10 for majorintra-abdominal surgery, and L2-L4 for lower limb surgery.2 There are many possible variations in local anaesthetic/opioid concentration yielding good results, the examples givenhere should be taken as a guideline; higher concentrations than the ones mentioned here are sometimes required but cannot be recommended as a routine for postoperative pain relief.Site of catheterLocal anaesthetics and dosage*Ropivacaine 0.2%Bupivacaine 0.1-0.125%Levobupivacaine 0.1-0.2%Interscalene5-9 ml/h Infraclavicular 5-9 ml/h Axillary 5-10 ml/h Femoral 7-10 ml/h Popliteal3-7 ml/h*Sometimes, higher concentrations are required in individual patients. As a standard, starting with a low concentration/dose is recommended to avoid sensory loss or motor block.2726Patient Controlled Regional Analgesia (PCRA) can be used to maintain peripheral nerve block. A low basal infusion rate (e.g. 3-5 ml/h)associated with small PCA boluses (e.g. 2.5-5 ml - lockout: 30-60 min) is the preferred technique.Infiltration blocksPain relief may be achieved by infiltration of the wound with localanaesthetic. The technique is easy to perform by the surgeon at the time of surgery. The efficacy and duration of analgesia depend on the length of the wound and the type of local anaesthetic used (Table 9).The advantages and disadvantages of various techniques of regional analgesia are shown in Table 10.Table 9Local anaesthetic infiltrationLocal anaestheticVolumeAdditivesIntraarticular instillation Knee arthroscopy0.75% Ropivacaine 20 ml Morphine 1-2 mg 0.5% Bupivacaine20 ml Morphine 1-2 mgShoulder arthroscopy 0.75% Ropivacaine10-20 mlIntraperitoneal instillation Gynaecological 0.75% Ropivacaine 20 ml Cholecystectomy 0.25% Ropivacaine40-60 mlWound infiltration Inguinal hernia0.25-0.5% Ropivacaine 30-40 ml 0.25-0.5% Levobupi*30-40 ml0.25-0.5% Bupivacaine Up to 30 mlTable 10Advantages of different techniques of regional analgesiaAdvantagesDisadvantagesContinuous Very effective.Motor block and urinary Epiduralretention may develop Analgesia (CEA)Much experience.or persist depending on the concentrations used.Differential block withDrugs used must have motor sparing is possible.low risk of systemic toxicity and produce as little motor Excellent postoperative block as possible.pain control over an extended period.Requires regular clinical monitoring on surgical Useful for rehabilitation wards or ICU.and physiotherapy.There are no universal Reduces the quantity of guidelines for monitoring.opioid analgesics needed.May mask a haematoma or abscess resulting in damage to spinal nerves.continued overleafThyroid surgery0.25-0.5% Ropivacaine 10-20 ml 0.25-0.5% Levobupi*10-20 ml0.25-0.5% Bupivacaine Up to 20 mlPerianal surgery0.25-0.5% Ropivacaine 30-40 ml 0.25-0.5% Levobupi*30-40 ml0.25-0.5% Bupivacaine Up to 30 mlcontinued opposite* Levobupi = Levobupivacaine.* Levobupi = Levobupivacaine.Please consult the manufacturer’s full prescribing information before use.。
视觉SFM的一个例子
? 视觉SFM 的一个例子这里采用的是Yi Ma , Stefano Soatto. An Invitation to 3-D Vision , From Images to Geometric Models 的算法%// Algorithm 8.1. also 11.7 %// Rank based factorization algorithm for multiview reconstruction %// using point features %// as described in Chapter 8, "An introduction to 3-D Vision" %// by Y. Ma, S. Soatto, J. Kosecka, S. Sastry (MASKS) %// Code distributed free for non-commercial use %// Copyright (c) MASKS, 2003 %// Generates multiple synthetic views of a house and computes the %// motion and structure, calibrated case, point features only %// Jana Kosecka, George Mason University, 2002 %// ============================================================== = ======= close all; clear; FRAMES = 3; PLOTS = 3; %// transformation is expressed wrt to the camera frame Zinit = 5; %// cube in the object frame XW = [0 1 1 0 0 1 1 0 0.2 0.8 0.2 0.8 ; 0 0 1 1 0 0 1 1 1.5 1.5 1.5 1.5; 1 1 1 1 0 0 0 0 0.8 0.8 0.2 0.2 ; 111111111 NPOINTS = 12; XC = zeros(4,NPOINTS,FRAMES); %// initial displacement 摄像机的初始位置Rinit = rot_matrix([1 1 1],0); Tinit = [ Rinit(1,:) -0.5 ; Rinit(2,:) -0.5 ; Rinit(3,:) Zinit; 0 0 0 1]; 1 1 1]; %// first camera coodinates XC(:,:,1) = Tinit*XW; %//画出三维的结构original motion and 3D structure figure; hold on; plot3_struct(XC(1,:,1),XC(2,:,1),XC(3,:,1)); plot3(XC(1,:,1),XC(2,:,1),XC(3,:,1),'*'); draw_frame_scaled([diag([1,1,1]), zeros(3,1)],0.5); title('original motion and 3D structure'); view(220,20); grid on; axis equal; %// axis off; pause; %// image coordinates 计算第一帧时的图像坐标xim(:,:,1) = project(XC(:,:,1)); Zmax = max(XC(3,:,1)); Zmin = min(XC(3,:,1)); rinc = pi/30; rot_axis = [1 0 0; 0 -1 0]'; trans_axis = [1 0 0; 0 1 0]'; ratio = 1; rinc = 10; %// rotation increment 20 degrees Zmid = (Zmax+Zmin)/2; tinc = 0.5*ratio*Zmid*rinc*pi/180; ploting = 1; for i=2:FRAMES %//计算第i 帧的图像坐标xim theta = (i-1)*rinc*pi/180; r_axis = rot_axis(:,i-1)/norm(rot_axis(:,i-1)); t_axis = trans_axis(:,i-1)/norm(trans_axis(:,i-1)); trans = (i-1)*tinc*t_axis; R = rot_matrix(r_axis,theta); %// translation represents origin of the camera frame %// in the world frame T(:,:,i) = ([ R trans; 0 0 0 1]); %// all transformation with respect to the object frame XC(:,:,i) = T(:,:,i)*XC(:,:,1); %// XW; draw_frame_scaled(T(1:3,:,i),0.5); xim(:,:,i) = [XC(1,:,i)./XC(3,:,i); XC(2,:,i)./XC(3,:,i); ones(1,NPOINTS)]; end; for j = 2:FRAMES T_ini(:,j) = T(1:3,4,j); end; %// noise can be added here for i=1:FRAMES xim_noisy(:,:,i) = xim(:,:,i); end %// pause 以下为SFM 算法%//-------------------------------------------------------------------%// compute initial \alpha's for each point using first two frames onl y 1)首先用八点算法计算初始的R0,T0(我感觉T0~即1,0 帧之间的相对移动~ 和实际的应该相差常数倍,因此会导致恢复的结构和实际相差常数倍),然后估计lambda。
Female Leadership and Organizational Climate in a
Journal of Modern Accounting and Auditing, ISSN 1548-6583October 2014, V ol. 10, No. 10, 1055-1059Female Leadership and Organizational Climate in a UniversityInstitutePaula Ponce Lázaro, Selene Viridiana Pérez Ramírez, Silvia Cartujano Escobar,Roque López Tarango, Crisóforo Álvarez Violante, Braian Real BahenaState University of Morelos, Morelos, MexicoThis paper addresses the case of the Professional Institute of the Southern Region (IPRES), an institute of highereducation in the State University of Morelos, with the aim of showing the measurement results of organizationalclimate before and after the change of the principal to know some internal features and describe the organizationalclimate of workers’ perception in a transition stage; besides, the influence of the current director’s leadership isanalyzed in the achievement of organizational goals and how the perception of organizational climate or workingenvironment can be affected by female leadership is also dealt with. In Mexico, there are more and morewomen running various organizations, including those belonging to the field of education, and universities are noexception. On the other hand, the type of leadership being exercised can promote or hinder the proper performanceof the institute and may be a factor of distinction and influence the behavior of those who integrate it; therefore,knowing how it works provides feedback about the processes that determine organizational behavior and theworking environment.Keywords: organizational climate, female leadership, perception, leadership stylesIntroductionThe organizational climate directly impacts the performance of the functions of any organization, in other words, the worker’s perception of the environment where he/she works influences his/her behavior, so having an instrument to evaluate the female principal’s management and identify the characteristics of her leadership role will allow us to assess the climate and establish mechanisms for improving the working environment.On the other hand, the working environment is influenced by several factors: those that have been identifiedas constituents of the objective reality of organizational development, which refer to the organizational structure, policies and procedures, interpersonal and group relations, a task and physical environment in which leadership (Alves, 2000) develops, and it is the influence of leadership factor related to organizational climate that is discussed in the present work.Paula Ponce Lázaro, research professor, the Southern Professional Institute, State University of Morelos. Email: **********************.Selene Viridiana Pérez Ramírez, research professor, the Southern Professional Institute, State University of Morelos.Silvia Cartujano Escobar, research professor, the Southern Professional Institute, State University of Morelos.Roque López Tarango, research teacher, the Southern Professional Institute, State University of Morelos.Crisóforo Álvarez Violante, research professor, the Southern Professional Institute, State University of Morelos.Braian Real Bahena, student degree in Administration, the Southern Professional Institute, State University of Morelos.All Rights Reserved.FEMALE LEADERSHIP AND ORGANIZATIONAL CLIMATE IN A UNIVERSITY INSTITUTE 1056There is no doubt that the style of leadership exercised by principals influences workers’ perceptions of organizational climate; in this paper, the measurement results of working environment are shown during themanagement (2008-2011) and the period (2011-2014), in order to see if there is any change in the perception ofthe working environment from female leadership which currently holds at the Professional Institute of theSouthern Region (IPRES).Review of the LiteratureThe organizational climate or environment refers to a set of characteristics in the workplace, perceived by individuals who work there and serve as the primary force which influences their work behaviors(Hodgetts & Altman, 1994). Several factors contribute to organizational climate, but different authors havenot agreed as to the type of dimensions that have to be evaluated in order to have an explanation as accurateas possible of what climate is (Brunet, 1997). Among these multiple factors is management style orleadership as the principal determinant of climate. However, it is important to note that there is a controversyregarding the above statement, although it is commonly accepted that the organizational climate is stronglydetermined by the leadership style being performed in the organization (Brunet, 1997). In the followingparagraphs, the main leadership theories are mentioned to establish the organizational climate and leadershiprelationship.The leadership field is diverse and includes a wide range of theories, among the best known are: the leadership trait theory such as the great man theory or behavioral models such as the University of Ohio’s(Stogdill, Goode, & Day, 1962) situational models such as the theory of leader-follower exchange (Schriesheim,Castro, & Cogliser, 1999), contingency theory (Fiedler, 1967), the target-path model (Evans, 1970; House, 1971; All Rights Reserved.House & Dessler, 1974; House & Mitchell, 1974), and the situational leadership model (Hersey & Blanchard,1982), among others, which took into account variables of the environment and the person for analysis (Yukl,2002).Starting form behavioral studies to analyze leadership, a number of theories that describe leadership styles appeared. “All of them mainly recognized two general types of behavior: (1) those task-oriented; and (2) thosepeople-oriented” (Ayoub, 2011).MethodologyThe PopulationTo determine the status of the working environment of the IPRES, an instrument was applied to 47 staff working on campus for the first time in 2009 and to 51 staff later in 2012.In 2013, an instrument to evaluate the management of the principal and to identify the characteristics of the leadership that a female exerts was designed, which was applied to 55 workers.The InstrumentTo measure the working environment, the instrument used was called: Organizational Climate Scale (EDCO, for its acronym in Spanish). It was decided to use this instrument mainly due to the characteristics of thepopulation, because it allows us to establish a scale of uniform measurement and “free sample” that can beapplied to individuals and groups of very different skill levels and allows testing how the working environment isin organizations.FEMALE LEADERSHIP AND ORGANIZATIONAL CLIMATE IN A UNIVERSITY INSTITUTE 1057ResultsThe results shown in this section are those obtained from the instrument applied in 2009, for the management period (2008-2011).Figure 1. First measurement of the working environment (IPRES).As one can see, 83% of the population surveyed rate the organizational climate at a high level, whichmeans that the majority of workers have a favorable perception regarding rules, policies, and leadership styles of their boss (see Figure 1). As regards the type of leadership in that period, the respondents report that the leader is not involved directly in the tasks, there was no oversight of them, and he showed detached personality, so it is considered that this style adheres to the so-called laissez-faire and they recognized that this led to an inefficient operation.In the second measurement of the climate, the survey was applied to 51 workers. On the other hand, it isimportant to note that the results shown are for managing director, who is a woman and who shall serve for the period from 2011 to 2014 and at the time of measurement had seven months directing the institute.Figure 2. Second measurement of the working environment (IPRES).01020304050Low levelAverage level High level 0%100%0%Low level Average level High levelEvaluation of the working environment in 2012Satisfaction level17%83% 0%Evaluation of the working environment in 2009All Rights Reserved.FEMALE LEADERSHIP AND ORGANIZATIONAL CLIMATE IN A UNIVERSITY INSTITUTE1058 This time, IPRES workers described the organizational climate at a medium level, which shows that the workers’ perceptions changed and noticed a less favorable working environment compared with 2009 (see Figure 2).The results in the second measurement showed that the workers’ perceptions changed because of, amongother factors, the change of the principal and consequently the change in the leadership style. In this secondperiod analyzed, it was observed with respect to leadership style that the policies and work techniques are planned, devolved, and directly supervised by the leader of the organization, who sometimes allows discussion of decisions within the group, although mostly it is the leader who makes decisions, leaving little margin to subordinates, although some recognize that she sometimes promotes the welfare of the group and asks for advice.In 2013, in order to identify the characteristics of female leadership in the institute, an instrument wasdesigned and applied, which allowed us to measure the quality and level of communication, relationships, and conflict management among others, in order to identify differences between the former principal and the female principal who currently runs the institute.According to the results obtained by the instrument, it is by and large concluded that workers’ perceptionsregarding the management of the female principal in the IPRES is that a female leader is more efficient in the work of the organization and that 47% of respondents believe that the operation of the institute has improved compared with the previous principal, as shown in Figure 3.Figure 3. Respondents’ opinions on the operation of the institute (IPRES).Although workers recognize that the performance has improved, they also consider that thecommunication is poor, causing conflicts and dissatisfaction in the teaching and administrative staff, who feel displaced and undervalued, behavior that is reflected in 46% of the surveyed population, who believe that the institute remains the same in terms of efficiency.Moreover, according to the qualities of the leader, 42% said that she listens respectfully and acceptssubordinates’ opinions, and they also consider her to be a leader who faces and solves conflicts.0%5%10%15%20%25%30%35%40%45%50%Worsened Remains the same Improved 7%46%47%All Rights Reserved.FEMALE LEADERSHIP AND ORGANIZATIONAL CLIMATE IN A UNIVERSITY INSTITUTE 1059ConclusionThe results show that the perceptions of employees on organizational climate are strongly influenced by leadership style, as can be seen from the results; the working environment has been declining from a high levelto a medium level, which implies a decline in the satisfaction level of employees and some characteristics ofleadership style which currently holds should be analyzed. Also, it can be seen in this case that the laissez-fairestyle affected tasks and organizational outcomes, although influenced in a positive direction with respect to thefact that most study subjects perceived a highly favorable climate.In the second measurement of the working environment, the combination of the autocratic and democratic leadership styles influenced the perceptions of workers in a negative sense, which made respondents in thiscase assess the work environment at a medium level, however, 47% of the surveyed population recognize thatthe operation of the organization has improved compared with the previous period where there was lesssupervision in the tasks.Female leadership in this particular case showed better results in the task approach but it has deficiencies in communication and motivation of IPRES workers.ReferencesAlves, J. (2000). Leadership and organizational climate. Journal of Sport Psychology, 9.Ayoub, P. J. L. (2011). Leadership styles and effectiveness in the Mexican public administration. Raleigh, NC: Lulú Enterprises.Brunet, L. (1997). The climate of work organizations. Mexico: Trillas.Evans, M. G. (1970). The effects of supervisory behavior on the path-goal relationship. Organizational Behavior and Human Performance, 5(3), 277-298.Fiedler, F. E. (1967). A theory of leadership effectiveness. New York, NY: McGraw-Hill.All Rights Reserved.Hersey, P., & Blanchard, K. H. (1982). Management of organizational behavior. Englewood Cliffs, NJ: Prentice Hall.Hodgetts, R., & Altman, S. (1994). Behavior in organizations. Mexico: McGraw-Hill.House, R. J. (1971). A path goal theory of leader effectiveness. Administrative Science Quarterly, 16(3), 321-339.House, R. J., & Dessler, G. (1974). The path-goal theory of leadership: Some post-hoc a priori test. In J. Hunt, & L. Larson (Eds.), Contingency approaches to leadership (pp. 29-55). Carbondale, IL: Southern Illinois University Press.House, R. J., & Mitchell, T. R. (1974). Path-goal theory of leadership. Journal of Contemporary Business, 3, 81-97.Schriesheim, C. A., Castro, S. L., & Cogliser, C. C. (1999). Leader-member exchange (LMX) research: A comprehensive review of theory, measurement, and data-analytic practices. The Leadership Quarterly, 10(1), 63-113.Stogdill, R. M., Goode, O. S., & Day, D. R. (1962). New leader behavior description subscales. Journal of Psychology, 54(2), 259-269.Yukl, G. A. (2002). Leadership in organizations. Englewood Cliffs, NJ: Prentice Hall.。
艺知半解
艺知半解作者:暂无来源:《艺术品鉴》 2015年第6期当女人为收藏着了迷玩什么最能凸显一个人的独特品味?非收藏艺术品莫属。
可一谈到收藏,大家多会联想到男人,其实,一个女人如果真正对收藏着了迷,就会有一种入骨的气质。
那是一份执念,像对待爱情、对待生活一般不肯将就和妥协。
先来谈大家都熟悉的教母麦当娜。
她除了拥有时尚偶像、流行天后、音乐家、电影导演、慈善家等多重身份,还是位专业的艺术收藏家。
伦敦泰特现代美术馆在2001年举办弗里达卡罗作品回顾展时,曾找她租借画家的名作《自画像与猴子》展出,而这幅画在1989年被娜姐以100万美元的价格买入,从这件小事上就可对娜姐的藏品窥斑见豹。
她的第一件藏品是法国立体派艺术家费尔南莱热(Fernand Leger)的画作《两辆自行车》,之后叉陆续收藏了弗里达卡罗、毕加索、霍珀、达利、曼雷、赫斯特等多位艺术大师的作品。
她在纽约的寓所,活脱是座艺术画廊:起居室侧墙上挂了一幅裸女油画《Andromeda》,那是波兰装饰艺术画家蓝碧嘉(Tamarade Lempicka)1929年的作品;卧室壁炉上挂着莱热的《红桌旁的三个女人》;办公桌上方墙壁上挂了毕加索的《女子半身像》;餐厅墙壁上挂了蓝碧嘉的《Nana deHerrera》;钢琴室的墙壁上挂着一幅法国新古典主义画家杰罗姆马丁朗格卢瓦的《戴安娜与恩底弥翁》。
除了各路艺术家的作品,麦当娜还收藏了几十位摄影大师的作品,比如法国摄影师劳拉阿尔滨基洛(Laure Albin Guillot)拍摄的经典裸体照片、美国摄影巨匠Irving Penn拍摄的黑白人物肖像等。
麦当娜偏爱创作主题个性鲜明的作品,就如她本人一样。
在麦当娜的收藏之路上,我们看到她努力的身影,而这又与她多年的熏陶有关:1980年代,事业运红火的麦当娜结交了包括安迪沃霍尔.凯斯哈林(Keith Haring)、让米歇尔巴斯奎特(Jean-MichelBasquiat)等艺术大师,并都与其私交甚好,这些友谊无形中培养了她的收藏眼光。
风景园林案例分析
点击添加文本
项目分析 ★艺术魅力影响下的形式特征及布局形式分析
花园中,水池、地形、堤岸等元素的和谐之美来自于 设计语言的协调统一,以及设计尺度的灵活把握。平台 的反曲线形式与水池的曲线形式相互对应,形态的统一 使二者紧密相连,同时草堤也以流畅的起伏地形与平台、 点击添加文本 点击添加文本 点击添加文本 水池的形式呼应。曲线最终成为花园最基本的形式语言, 贯穿于各个元素当中。这种形式并不仅仅存在于花园内 部,周边的花谷、雕塑花园起伏的地形都是公园最好的 因借与依托。地域之美显现于花园当中,它建立在对 形态的深入推敲,以及对周边场地的充分理解之上。
点击添加文本点击添加文本点击添加文本项目分析空间视线控制分析从三维的立面来看平台与水池作为一片宁静的绿洲漂浮于草坡的怀抱之中草堤的不同坡度与高度形成了不同层次的绿色幕帐在人视点的角度形成不同的绿色边际线控制了花园整体的形态
风景园林案例分析
再忆阿兰· 普罗沃斯特的 巴黎水生植物花园
〈风景园林〉2011年2期
项目分析 ★形式与功能的对话表达
花园的形式之美除了几何形状的透彻认知之外,更多地 依赖于一种作为衡量尺度的工具的运用。拥有某种弧度的反 曲线形状的平台与水池环环相扣,使平台或深或浅地深入到 水池当中,使观赏水生植物的人们被水池包裹而置身其中。 同时,高低错落的起伏地形形成了观赏的幕帐,作为绿色的 背景衬托着舒适的空间。从平面布局来看,以创造平台上不 点击添加文本 点击添加文本 点击添加文本 同尺度的活动空间为基础,平台与水池最大限度地相互接触, 周边的草地以更大的弧度环抱住这一空间。在这里,平台的 尺度变化符合人们使用的尺度需求,而平台、水池与草堤的 距离也控制在舒适的视线范围之内。反曲线形式的平台创造 了不同尺度的活动空间。从入口空间到过渡空间,再到停留 空间,平台由宽渐窄,并有大小各异的观赏空间伸入水面, 或独自赏花,或三五小论。
再忆阿兰·普罗沃斯特的巴黎水生植物花园
再忆阿兰普罗沃斯特的巴黎水生植物花园
杨鑫;张琦
【期刊名称】《风景园林》
【年(卷),期】2011(000)002
【摘要】40年后再忆阿兰·普罗沃斯特的巴黎水生植物花园,其经久不衰的魅力促使了对于景观设计中形式与功能,空间与使用的内在关系的思考.自然这一永恒的话题始终游荡于景观之中,自然本质的崇尚与体现是创造可持续的、生长的景观最根本需求.巴黎水生植物花园具有艺术感召力的平面布局以及舒适、惬意的自然空间环境恰恰是设计师对自然深刻理解的成果,在今天,花园仍值得细细品读.
【总页数】6页(P110-115)
【作者】杨鑫;张琦
【作者单位】北方工业大学建筑学院,北京,100144;中国·城市建筑设计研究院无界景观工作室,北京,100029
【正文语种】中文
【中图分类】TU986.5
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1.解读阿兰·普罗沃斯风格——法国当代风景园林设计大师阿兰·普罗沃斯的设计思想和作品简介 [J], 吴爽;丁绍刚
2.巴黎花园中的水生植物花园 [J], 林箐
3.架起古典主义到现代的桥梁——法国风景园林大师阿兰·普罗沃的景观设计 [J], 杨睿;邱超男;李慧静;王思哪;龙雨彤;梁彩彤
4.法国风景园林大师阿兰·普罗沃设计风格与经典作品简析 [J], 王世豪; 叶杨飞
5.普罗名特,再添重彩——普罗名特上海中心隆重成立 [J], 张明;李志鹏;廖志芳;王东福;王荣辉;李豪
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法国动物学家居维叶生平简介
法国动物学家居维叶生平简介居维叶是法国十八到十九世纪著名的动物学家和地质学家,生于巴黎蒙贝利亚尔,居维叶同时也是古生物学和比较解剖学的奠基人。
代表作有《比较解剖学讲义》、《四足动物化石骨骸得到研究》等,下面是具体的居维叶简介。
1769年居维叶出生在法国巴黎蒙贝利亚尔,1784年到1788年进入德国加罗林大学学习,曾在巴黎植物园、法兰西巴黎博物馆和国立自然博物馆工作。
之后在中央大学和法兰西学院担任教授,并曾任巴黎大学校长。
居维叶利用近海条件,对大量海生动物进行了精心观察和解剖。
他的形态学研究成果在当时引起了学术界的重视。
1795年居维叶进入巴黎自然博物馆担任动物解剖学助理教授,一年后成为法兰西研究所成员。
1800年居维叶再次成为法兰西学院教授,1811年被授予勋爵,1814年担任国务委员,1817年担任内务部副大臣,一年后成功入选法兰西科学院院士,从1819年到1832年期间担任参议院内政部主席。
居维叶自小就有着惊人的记忆力、严格的科学训练和执着的学习热情。
他的一生经历了法国大革命、执政府、帝政和王政时期,身兼科学家、政治家和社会活动家等多个职务。
由于对时间进行了充分利用,居维叶在科学上的成就是惊人的,他留下了巨大的遗产,主要是比较解剖学、动物分类学的科学著作。
居维叶著述十分多,是世人所罕见的。
正是因为居维叶自身巨大的成就和影响遍及西方世界,因此他也被人们称作是第二个亚里士多德。
居维叶贡献居维叶是十八到十九世纪法国有名的解剖学家、地质学家、政治家和社会活动家,他的成就也主要表现在科学和政治上,而居维叶贡献最大的是他的科学成就对后世的影响。
居维叶还提出了灾变论,认为是全球的自然大灾变造成了生物群的灭绝,之后残存的部分经过发展又形成了各个阶段生物群,他的这一科学假设与古生物学和现代地质学也有着一致的结论。
居维叶一生著述无数,其中有代表作《比较解剖学讲义》、《四足动物化石骨骸的研究》和《按结构分类的动物界》等。
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Stefano SoattoCURRICULUM VITÆNovember2005personal and contact informationBorn in Padova-Italy,on March19th,1968.Citizen of Italy,Permanent Resident of the United States.e-mail soatto@,Web /~soattoresearch and teaching interestsShape representation,modeling and estimation;motion estimation and control;target tracking;image registration; texture modeling and recognition;visual accommodation;visual insertion;human-machine interfaces;image-based modeling and rendering;detection and estimation theory;statistical learning theory;system identification the-ory;nonlinearfiltering;nonlinear control;autonomous navigation;assisted surgery;medical imaging;statistical inference on manifolds;Monte carlofiltering;statistical dimensionality reduction;image processing;image coding; image compression;human visual perception;visual psychophysics;hybrid system identification;computational biology;computational aesthetics.professional experienceUniversity of California,Los Angeles-CAProfessor of Computer Science(05–present)Associate Professor of Computer Science(02–05)Assistant Professor of Computer Science(00-02)Washington University,St.Louis-MOAdjunct Associate Professor of Electrical Engineering(02-03)Associate Professor of Electrical Engineering(00-01,on leave)Associate Professor of Biomedical Engineering(00-01,on leave)Assistant Professor of Biomedical Engineering(99-00)Assistant Professor of Electrical Engineering(97-00)California Institute of Technology,Pasadena-CAVisiting Associate in Control and Dynamical Systems,(02–present)Postdoctoral Research Associate(96)Harvard University,Cambridge-MAPostdoctoral Research Associate(96-97)Universit`a degli Studi di Udine,Udine-ItalyRicercatore(Assistant Professor)of Mathematics and Computer Science(95-98,on leave)educationCalifornia Institute of Technology,Pasadena-CAPh.D.in Control and Dynamical Systems(6/93-6/96)Thesis:“A Geometric Framework for Dynamic Vision”Committee:John Doyle,Christof Koch,Jerrold Marsden,Richard Murray,Pietro Perona(Chair)M.S.in Electrical Engineering(9/92-6/93)G.P.A.4.0/4.0Universit`a degli studi di Padova,Padova-ItalyLaurea in Ingegneria Elettronica(highest honors)(9/87-7/92)Thesis:“Stima della struttura di una scena e del moto dell’osservatore mediante ilfiltro di Kalman”G.P.A.110/110e Lode,advisor G.Picci.University of California,Berkeley-CAE.A.P.Fellow(Visiting Student in Electrical Engineering and Computer Science)(8/90-6/91)Liceo Ginnasio Tito Livio,Padova-ItalyMaturit`a Classica(9/82-7/87)awardsBest Poster Award IEEE Intl.Conf.on Comp.Vis.and Patt.Recogn.,2004(with P.Favaro). Outstanding Reviewer Appreciation IEEE Transactions on Automatic Control,2002.Okawa Foundation Reseach Award in Telecommunications,2001.David Marr Prize(with Y.Ma,J.Kosecka and S.Sastry of U.C.Berkeley),1999.Highest honor bestowed in thefield of Computer Vision.Awarded bi-annually by the IEEE Computer Society.Sponsored by IEEE and Microsoft.Presented at the Intl.Conf.on Computer Vision(ICCV),Kerkyra-Greece,September1999,for work on“Euclidean reconstruction and reprojection up to subgroups”.Outstanding Paper Award(with R.Brockett of Harvard),1998.Awarded annually by the IEEE Computer Society,PAMI Technical Committe.Sponsored by IEEE and Siemens.Presented at the IEEE Intl.Conf.on Computer Vision and Pattern Recognition(CVPR),Santa Barbara-CA,June1998,for work on“Optimal structure from motion:local ambiguieties and global estimates”.National Science Foundation CAREER Award for research on“Controllable Visual Cues”,CISE Directorate, 1998.Fondazione Gini A.Gini fellowship,1992-93and1994-95.Universit`a di Padova Research Abroad Fellowship in Mathematics1993-94.professional services and editorial activitiesConference Program Committee and Chairmanship•NIPS2005•Intl.Conf.on Scale-Space and PDE Methods,Hofgeismar-Germany,Program Committee,April2005•IEEE Workshop on Motion and Video Computing,Program Co-Chair,January2005.•IEEE Intl.Conf.on Computer Vision and Pattern Recognition(CVPR):–Program Committee1999(Fort Collins),–Program Committee2000(Hilton Head),–Program Committee2001(Kauai),–(no conference in2002due to ICCV being in North America),–Demo Chair2003(Madison),–Area Chair2004(Washington),–Program Co-Chair2005(San Diego).•3DPVT2004,Program Committee,Thessaloniki,Greece.•Workshop on Nonrigid and Articulated Motions,Program committee,2004(Washington-DC).•European Conference on Computer Vision(ECCV;bi-annual):–Area Chair2002(Kopenhagen),–Area Chair2004(Prague).–Area Chair2005(Graz)(turned down invitation).•Intl.Conf.on Computer Vision(ICCV;bi-annual):–Program Committee2003(Nice).–Area Chair,2005(Beijing)•IEEE Conference on Decision and Control:Program Committee2000(Sydney).•Mathematical Theory of Networks and Systems:Program Committee2000(Perpignan).•IEEE Workshop on Video Registration:Program Committee2001(Vancouver),Program Committee 2003(Nice).•Workshop on Generative Model-based Vision:Program Committee2002(Kopenhagen).•Workshop on dynamic modeling of visual scenes:Program Committee2002(Kopenhagen).•Intl.Conf.on Patt.Recog.(ICPR):Program Committee2004.•Worskshop on Statistical and Computational Theories of Vision:Program Committee2003.•Workshop on Computer Vision for the Nanoscale:Program Committee2003(Madison).•IEEE Workshop on Variational,Geometric and Lagrangian Methods in Computer Vision:Program Committee2003(Nice).•Workshop on Multimodal User Authentication:Program Committee2003(Santa Barbara).•Intl.Symposium of3D Modeling:Program Committee2003.•Workshop on Variational and Level Set Methods(VLSM):Program Committee2003.Editorial activity•IEEE Transactions on Pattern Analysis and Machine Intelligence(PAMI),Associate Editor(2003–present).•International Journal of Computer Vision,Member of the Editorial Board(2004-2006).•Member of the Editorial Board,Foundations and Trends in Computer Vision and Graphics,(2003–present).Referee:journals Science,2004;Foundations of Computational Mathematics,2003;Computer Vision and Image Understanding,2003;Image and Vision Computing(2004)SIAM Journal of Applied Mathematics;Auto-matica(2/2004),International Conference on Visual Languages and Computing(5/03),IEEE Transactions on Information Theory;IEEE Transactions on Robotics and Automation;IEEE Transactions on Pattern Analysis and Machine Intelligence;IEEE Transactions on Control Systems Technology;Systems and Control Letters;IEEE Transactions on Automatic Control(5/02,5/03);IEEE Transactions on Image Processing;the International Journal of Computer Vision;Computer Vision,Graphics and Image Processing;Journal of the Optical Society of America A,ACM Computing Survey.Referee:books SIAM,June2002;Springer Verlag,Series“Applications of Mathematics”,1999.Review panels and review boards,AFOSR/ARL,July2003,CoRe UC Discovery Grant review board,Orga-nizational Committee for a proposed Center for Computational Science and Engineering,UCLA;JPL Mars Landing“DIMES”review board,4/10/02,NSF(Division on Computer and Information Sciences,1999, April2001,November2001,June2002,November2003);ARO(Mathematics and Computer Science Divi-sion,2000);AFOSR(Mathematics,Dynamics and Control,January2002);Tenure reviews:R.Manduchi (UC Santa Cruz),M.Pollefeys(K.U.Leuven),J.Kosecka(George Mason University),C.K.Tang(Hong Kong UST).invited presentationsDistinguished lectures University of Wisconsin-Madison,Computational Sciences Distinguished Lecture Series (2003),Stanford University,Broad Area Colloquium Series(2002),Semi-plenary talk,IFAC Symposium on System Identification(Rotterdam),2003.Tutorials and mini-courses Tutorial on active vision at CDC2005,Semi-plenary talk,IFAC SYSID,2004;Intl.Conf.on Adv.Robotics(ICRA2003),tutorial on3-D vision;SIGGRAPH2003(San Diego),SIGGRAPH 2004(Los Angeles):tutorial on3-D vision;3rd European Control Conference(ECC’95),the Mathematical Theory of Networks and Systems(MTNS’98),Summer School for Ph.D.candidates in Systems and Controls (Bertinoro-Italy,1999),International Conference on Robotics and Automation(ICRA’00),“Dynamic System Identification in Computer Vision”,Europ.Conf.on Comp.Vision(ECCV,May27,2002),UCLA Extension short course on3D reconstruction,Sept.2002,“3D reconstruction”,3DPVT,Padova-Italy,June 2002.Invited Workshops Workshop on Perceptive Social Agents and Robots,UCSD Jan2003,Stanford Computer Forum,3/18/2002;NASA AMES Research Center,3/19/2002;NIH,Department of Health and Human Ser-vices,Workshop on“Development of new tools in computational neuroscience”,September2001;NSF/ARO Workshop on Vision and Control,Block-Island,May1997;Microsoft Research Faculty Summit,July2002. Institutes Fields Institute for Research in Mathematical Sciences,Toronto–ON,August2001;Institute for Mathematics and Its Applications,“Mathematics and Multimedia”program,Minneapolis-MN,October-November2000.IPAM,”Emerging Applications of Inverse Problems Techniques to Imaging Science”(mem-ber of the organizing committee).Department and group seminars University of Pennsylvania,Department Colloquium(2003),University of Wisconsin-Madison,Computational Sciences Distinguished Lecture Series(2003),Stanford University, Broad Area Colloquium Series(2002),University of Illinois at Urbana-Champaign(CSL’01);New York University(Neuroscience’01);University of Maryland(CFAR’01),UCLA(Electrical Engineering’98,Com-puter Science’99,Cognitive Science’01,Levelset seminar’01);University of Pennsylvania(Computer and Information Science’95,’97);Cambridge University(Engineering Science’95),Arizona State University (Mathematics’95),University of Connecticut(Electrical Engineering’95),Princeton University(Electrical Engineering’95),U.C.Berkeley(Electrical Engineering and Computer Science’97),Scuola Normale Superi-ore(’93),Harvard University(Applied Sciences’95),MIT(LIDS’95,’99,AI Lab’93),Georgiatech(College of Computing’96),Brown University(Applied Mathematics’97),U.C.Santa Barbara(Electrical and Com-puter Engineering’97,Mechanical and Environmental Engineering’00),Washington University(System Science and Mathematics’95,Electrical Engineering’97),University of Minnesota(Electrical Engineering ’99),Boston University(Computer Science’99),Consiglio Nazionale delle Ricerche(’92),Caltech(Control and Dynamical Systems’96,’00,Electrical Engineering’94).Industry research seminars Intel(Santa Clara,CA’00),Microsoft Research(Redmond,WA’00),Microsoft Research(Cambridge,U.K.’00),Geometrix INC.(Santa Clara,CA’00),NEC Research(Princeton,NJ’95,’97).advisingCurrent Postdocs•Emmanuel Prados(Ph.D.,Ecole Normale Superieur and INRIA-Sophia,France)•Fabio Cuzzolin(Ph.D.,University of Padova-Italy)•Chae-Joi Young(Ph.D.,Technical University,Korea)•Byung-Woo Hong(Ph.D.,Oxford University,U.K.)Current Graduate Students•Alessandro Bissacco(Ph.D.,UCLA,fifth year),Unsupervised modeling of visual actions.•Jason Meltzer(Ph.D.,UCLA,fifth year),visual localization and navigation.•George Scarlatis(M.D./Ph.D.Biomedical Engineering,UCLA),retinal prosthetics(co-advisor)•Eagle Jones(Ph.D.,UCLA,fourth year),active appearance models.•Andrea Vedaldi(Ph.D.,UCLA,third year),visual modeling for recognition.•Philip Venturelli(M.S.,UCLA,second year),currently on leave at Raytheon.•Dejun Wang(Ph.D.,UCLA,second year),variational reconstruction.•Ben Leong(Ph.D.,UCLA,second year),currently on leave at JPL.•Brian Fulkerson(Ph.D.,UCLA,first year),habitat monitoring.•Kamil Wnuk(Ph.D.,UCLA,first year).•Jeremi Sudol(Ph.D.,UCLA,first year).•Alex Cabal(B.S.,UCLA,senior).Former students and postdocs•Gianfranco Doretto(M.S./Ph.D.,UCLA,00-05),Dynamic textures,now at GE Global Research, Niskayuna-NY.•Kerry Connor(B.S.,UCLA,03-04);•Daniel Cremers(Postdoc02-04),now Associate Professor at the University of Bonn,Germany.•Siddharth Manay(Postdoc03-04),now at Lawrence Livermore National Labs.•Hailin Hin(Ph.D.98-04),Now at Adobe Research.•Paolo Favaro(Ph.D.,99-04),now at Siemens Corporate Research,Princeton–NJ.•Byung-Woo Hong(Visiting Student,03-04,Oxford University),now at UCLA.•Payam Saisan(M.S.EE,00-04),Facial motion analysis,now at HRL(Hughes Research Labs).•Esha Datta(Visiting Student,02,Stanford University).•Thomas Gazagnaire(Visiting Student,02,Ecole Normale Superieure,Lyon).•Nicola Moretto(Ph.D.2003,EE,University of Padova-Italy;co-advisor).•Alessandro Duci(Ph.D.2003,Mathematics,Scuola Normale Superiore,Pisa;co-advisor),now at Intel Research,Santa Clara.•Federico Guido(Ph.D.2002,EE,University of Genova-Italy).•Marco Turetta(D.Ing.2002,EE,University of Padova-Italy;co-advisor).•Rene Vidal,(Ph.D2002,EECS,UC Berkeley;co-advisor in2001/2002),now Assistant Professor at Johns Hopkins University.•Francesco Nori(Laurea2001,CS,Universit`a di Padova;co-advisor).•Toshiya Ogonuki,(Postdoc2000,Japan Radio Company).•Alessandro Chiuso,(Ph.D.2000,EE,Universit`a di Padova;co-advisee);Now Assistant Professor,Uni-versit`a di Padova,Italy.•Loris Vicario,(Laurea2000,CS,Universit`a of Udine;co-advisee).•Udeepta Bordoloi(M.S.1999,EE,Washington University).•Diego Crovato,(Laurea1996,CS,Universit`a di Udine).•Jonni Meneghel,(Laurea1997,CS,Universit`a di Udine).•Claudio Tomasella,(Laurea1998,CS,Universit`a di Udine).fundingNSF“Nets ProWIN”(M.Gerla,PI)$750,000.ONR“CVPR AC Workshop”$10,000.NSF“CVPR AC Workshop”$10,000.Keck Foundation“Infrastructure support for the Vision Collective”(A.Yuille,PI),$660,000,1/3/2005.NSF“US/Europe exchange”(S.Soatto,PI),$18,270.00,10/5/04,100%.NIH“National Center in Biological Computing”(A.Toga,PI),$20,000,000,9/15/04–9/14/09,10%.JPL“Fast feature detection”(S.Soatto,co-PI),$20,000,2004.ONR“Modeling spatio-temporal events from video”(S.Soatto,PI),$280,000(’03-’06).AFOSR“MURI”,“Active vision for control of agile manouvering aerial vehicles”(E.Johnson,PI;Georgia Tech, UCLA,MIT),$3,000,000(’03-’06)AFOSR“Dynamic Vision”(S.Soatto,PI),$577,567NSF“Center for Embedded and Networked Sensing”(D.Estrin,PI).NSF RHA“A variational framework for reconstructing complex3D shape and photometry from multiple im-ages”,PI,$534,748(02-05).NSF ECS“Modeling spatiotemporal events from video”,PI,$100,697(02-05).ONR“MURI”(C.Tomlin,PI),$5,000,000,Co-PI share$283,623(02-05).NSF“Career”(transfer from Washington University),$111,468.00Okawa Foundation“The Okawa Fellowship”,$10,000(01).Microsoft“Equipment and software donation”,$17,640.85.Intel“Real-time3D interaction of virtual objects in real environments”(PI)second renewal$48,000,5/9/01;third renewal$55,000,3/7/02.UCLA Academic Senate,Council on Research Seed Funding Initiative,“Minimally invasive optical3D shape sensors”(PI),$19,787(01-02).NIH Pre-NPEBC(A.Toga,PI)(National Center of Excellence in Biomedical Computing),$500,000,2.5%(02-05). DARPA NEST Globally ad-hoc locally regular embedded systems(Co-PI,with D.Estrin,M.Srivastava,M.Sarrafzadeh),$1,871,424,25%(01-03).Army Research Office Defense University Research Instrumentation Program(PI),$81,841(01-03).Intel“Real-time3D interaction of virtual objects in real environments”(PI)$56,000,10/00.Intel“Academic Contribution”(PI)$26,047(10/00).Intel“Equipment donation”$4,370(1/03).Army Research Office“Vision for control:optimality and usability”(PI)$210,000,6/1/99–5/31/02. National Science Foundation CAREER Award:“Controllable visual cues”(PI)$204,551,9/1/99–8/31/03. Japan Radio Company discretionary funds(through Washington University)$30,000,10/1/99–8/31/03.patents“Apparatus and Method for the Interactive Customization of Eyeglass Frames”(US Patent6,944,327) September13,2005;filed November3,2000;Provisionalfiled November4,1999.“Apparatus and Method for Tracking Handwriting from Visual Input”(US Patent6,044,165) with M.Munich and P.Perona.recreationArts Co-founder and saxophonist of the Jazz quintet Primigenia(Italy,1984-1992).The now quartet is still active with recordings and performances throughout anizer of several concerts and music festivals.Finalist in the“Certamen Ciceronianum”,an international competition in the translation of Cicero,Arpino –Italy,1986.Sports Member of the National Rowing Team(Italy,1982-1986).Twice second at the National Championships (single scull),twice winner of European Regattas(Villach,Austria,1984-1986).Competitor in regional-level ski races(1982-1986).References[1]P.Favaro and S.Soatto.3-D Shape Estimation and Image Restoration:Exploiting Defocus and Motion-Blur.Springer Verlag,2005(in advanced stage of preparation).[2]Y.Ma,S.Soatto,J.Kosecka,and S.Sastry.An invitation to3D vision,from images to models.SpringerVerlag,2003.Book Chapters[3]S.Soatto,A.J.Yezzi,and A.Duci.Geometric Level Set Methods in Imaging,Vision and Graphics,S.J.Osher and N.Paragios(Eds.),chapter Region matching and tracking under deformations and occlusions, pages319–340.Springer Verlag,2003.[4]A.J.Yezzi,S.Soatto,H.Jin,A.Tsai,and A.Willsky.Geometric Level Set Methods in Imaging,Vision andGraphics,S.J.Osher and N.Paragios(Eds.),chapter Mumford-Shah from segmentation to stereo,pages 207–228.Springer Verlag,2003.[5]A.Yezzi,S.Soatto,A.Tsai,and A.Willsky.Mathematics and Multimedia,chapter Curve and SurfaceEvolution for Image Segmentation and Stereo Reconstruction Using the Mumford-Shah Functional.IMA, 2002.[6]S.Soatto.Progress in systems and control theory:Dynamical systems,control,coding,computer vision,chapter The accommodation cue in vision,pages432–448.Birkhouser,1999.[7]R.Frezza,G.Picci,and S.Soatto.The confluence of vision an control,D.Kriegman et al.(eds),chapter ALagrangian formulation of nonholonomic path following,pages119–133.Springer Verlag,1998.[8]R.Frezza,P.Perona,G.Picci,and S.Soatto.Trends in Control,Alberto Isidori(Ed.),chapter System-theoretic aspects of dynamic vision,pages349–384.Springer Verlag,1995.[9]S.Soatto and P.Perona.Structure-independent visual motion control on the essential manifold,chapterSensory Systems,pages869–876.IFAC Press,Feb.1995.Archival Journals[10]P.Favaro and S.Soatto.A geometric approach to blind deconvolution.IEEE Trans.Pattern Anal.Mach.Intell.,(in press),2004.[11]H.Jin,S.Soatto,and A.Yezzi.Multi-view stereo reconstruction of dense shape and complex appearance.Intl.J.of Comp.Vis.,(in press),2004.[12]D.Cremers and S.Soatto.Motion competition:a variational approach to piecewise parametric motionsegmentation.Intl.J.of Comp.Vision,(in press),2004.[13]A.Duci,A.Yezzi,S.Mitter,and S.Soatto.Region matching with missing parts.Image and VisionComputing,(in press),2004.[14]R.Vidal,Y.Ma,S.Soatto,and S.Sastry.Two-view multibody structure from motion.Intl.J.of ComputerVision,(in press)2004.[15]A.Yezzi and S.Soatto.Stereoscopic segmentation.Intl.J.of Computer Vision,53(1):31–43,2003.[16]A.Yezzi and S.Soatto.Deformotion:deforming motion,shape average and the joint segmentation andregistration of images.Intl.J.of Comp.Vis.,53(2):153–167,2003.[17]H.Jin,R.Tsai,L.Chen,A.Yezzi,and S.Soatto.Estimation of3d surface shape and smooth radiance from2d images:A level set approach.J.of p.,19(1-3):267–292,2003.[18]P.Favaro,H.Jin,and S.Soatto.A semi-direct approach to structure from motion.The Visual Computer,19:1–18,2003.[19]P.Favaro,A.Mennucci,and S.Soatto.Observing shape from defocused images.Intl.J.of Comp.Vis.,52(1):25–43,2003.[20]G.Doretto,A.Chiuso,Y.Wu,and S.Soatto.Dynamic textures.Intl.J.of Comp.Vis.,51(2):91–109,2003.[21]A.Chiuso,P.Favaro,H.Jin,and S.Soatto.Motion and structure causally integrated over time.IEEETrans.Pattern Anal.Mach.Intell.,24(4):523–535,2002.[22]A.Chiuso,R.Brockett,and S.Soatto.Optimal structure from motion:local ambiguities and global estimates.Intl.J.of Computer Vision,39(3):195–228,September2000.[23]Y.Ma,S.Soatto,J.Kosecka,and S.Sastry.Euclidean reconstruction and reprojection up to subgroups.Intl.J.of Computer Vision,38(3):219–229,July2000.[24]S.Soatto and P.Perona.Reducing“structure from motion”:a general framework for dynamic vision.part1:modeling.IEEE Trans.Pattern Anal.Mach.Intell.,20(9):993–942,September1998.[25]S.Soatto and P.Perona.Reducing“structure from motion”:a general framework for dynamic vision.part2:Implementation and experimental assessment.IEEE Trans.Pattern Anal.Mach.Intell.,20(9):943–960, September1998.[26]S.Soatto.3-d structure from visual motion:modeling,representation and observability.Automatica,33:1287–1312,1997.[27]S.Soatto and P.Perona.Motion fromfixation.Int.J.of Real Time Imaging,3(2):129–153,1997.[28]S.Soatto and P.Perona.Recursive3-d visual motion estimation using subspace constraints.Int.J.ofComputer Vision,22(3):235–259,1997.[29]S.Soatto,R.Frezza,and P.Perona.Motion estimation via dynamic vision.IEEE Transactions on AutomaticControl,41(3):393–414,March1996.Proceedings of Refereed International Conferences[30]J.Jackson,A.Yezzi,and S.Soatto.Tracking in deformotion.In Proc.of the IEEE Conf.on Decision andControl,(accepted)2004.[31]B.-W.Hong,M.Mellor,S.Soatto,and bining topological and geometric features of mam-mograms to detect masses.In Proc.Medical Image Understanding and Analysis,London,September2004.[32]A.Bissacco,P.Saisan,and S.Soatto.Gait recognition using dynamic affine invariants.In Proc.of theMTNS,pages TH A8,1–7,July2004.[33]J.Meltzer,M.-S.Yang,R.Gupta,and S.Soatto.Simultaneous localization and mapping using multiple viewfeature descriptors.In IROS,(in press)2004.[34]D.Cremers,S.J.Osher,and S.Soatto.Kernel density estimation and intrinsic alignment for knowledge-driven segmentation:teaching level set to walk.In DAGM,(in press)2004.[35]P.Favaro,M.Burger,and S.Soatto.Motion blur segmentation.In Proc.of the IEEE Intl.Conf.on Comp.Vis.and Patt.Recog.,July2004.[36]H.Jin,D.Cremers,A.Yezzi,and S.Soatto.Shedding light in stereoscopic segmentation.In Proc.of theIEEE Intl.Conf.on Comp.Vis.and Patt.Recog.,July2004.[37]P.Favaro,M.Burger,and S.Soatto.Scene and motion reconstruction from defocused and motion-blurredimages via anisotropic diffusion.In Proc.of the Eur.Conf.on Comp.Vision,pages257–269,May2004. [38]S.Manay,A.J.Yezzi,B.W.Hong,and S.Soatto.Integral invariant signatures.In Proc.of the Eur.Conf.on Comp.Vision,pages87–94,May2004.[39]J.Meltzer,M.Yang,R.Gupta,and S.Soatto.Multiple view feature descriptors from image sequences viakernel principal component analysis.In Proc.of the Eur.Conf.on Comp.Vision,pages215–227,May2004.[40]H.Jin,A.J.Yezzi,and S.Soatto.Region-based segmentation on evolving surfaces with application to3dshape and radiance estimation.In Proc.of the Eur.Conf.on Comp.Vision,pages114–125,May2004. [41]P.Saisan,A.Bissacco,and A.Chiuso S.Soatto.Modeling and synthesis of facial motion driven by speech.In Proc.of the Eur.Conf.on Comp.Vision,pages456–467,May2004.[42]G.Doretto,E.Jones,and S.Soatto.Spatially homogeneous dynamic textures.In Proc.of the Eur.Conf.on Comp.Vision,pages591–602,May2004.[43]G.Doretto and S.Soatto.Towards plenoptic dynamic textures.In Proc.of the Workshop Textures2003,pages25–30,October2003.[44]R.Vidal,S.Soatto,and S.Sastry.An algebraic geometric approach to the identification of linear hybridsystems.In IEEE Conf.on Decision and Control,December2003.[45]D.Cremers and S.Soatto.A pseudo distance for shape priors in level set segmentation.In Proc.of the Intl.Workshop on Variational and Level Set Methods,pages169–176,October2003.[46]S.Soatto and A.Chiuso.Snippets of identification theory in computer vision.In Proc.of the IFAC Symp.on System Identification(SYSID),August2003.[47]A.Bissacco,P.Saisan,and S.Soatto.Modeling human gaits with subtleties.In Proc.of the IFAC Symp.onSystem Identification(SYSID),August2003.[48]A.Duci,A.J.Yezzi,S.K.Mitter,and S.Soatto.Shape representation via harmonic embedding.In Intl.Conf.on Comp.Vision,pages656–662,October2003.[49]G.Doretto,D.Cremers,P.Favaro,and S.Soatto.Dynamic texture segmentation.In Intl.Conf.on Comp.Vision,pages(2)1236–1242,October2003.[50]D.Cremers and S.Soatto.Variational space-time motion segmentation.In Intl.Conf.on Comp.Vision,pages(2)886–892,October2003.[51]P.Favaro,A.Duci,Y.Ma,and S.Soatto.On exploiting occlusions in multiple view geometry.In Intl.Conf.on Comp.Vision,pages479–486,October2003.[52]S.Soatto,A.J.Yezzi,and H.Jin.Tales of shape and radiance in multiview stereo.In Intl.Conf.on Comp.Vision,pages974–981,October2003.[53]A.J.Yezzi and S.Soatto.Structure from motion for scenes without features.In Proc.IEEE Conf.on Comp.Vision and Pattern Recogn.,pages I–525–532,June2003.[54]H.Jin,S.Soatto,and A.J.Yezzi.Multi-view stereo beyond lambert.In Proc.IEEE Conf.on Comp.Visionand Pattern Recogn.,pages I–171–178,June2003.[55]P.Favaro,S.Soatto,L.Vese,and S.J.Osher.Shape from anisotropic diffusion.In Proc.IEEE Conf.onComp.Vision and Pattern Recogn.,pages I–179–186,June2003.[56]P.Favaro and S.Soatto.Seeing beyond occlusions(and other marvels of afinite lens aperture).In Proc.IEEE Conf.on Comp.Vision and Pattern Recogn.,pages II–579–586,June2003.[57]G.Doretto and S.Soatto.Editable dynamic textures.In Proc.IEEE Conf.on Comp.Vision and PatternRecogn.,pages II–137–142,June2003.[58]R.Vidal,A.Chiuso,S.Soatto,and S.Sastry.Observability of linear hybrid systems.In Proc.of the HybridSystems Computation and Control,pages526–539,October2003.[59]R.Vidal,A.Chiuso,and S.Soatto.Observability and identifiability of jump-linear systems.In Proc.of theIntl.Conf.on Decision and Control,pages3614–3619,December2002.[60]F.Cuzzolin,A.Bissacco,R.Frezza,and S.Soatto.Towards unsupervised detection of actions in clutter.InProc.of the Asilomar Conference on Signals,Systems and Computers,pages463–467,November2002. [61]R.Vidal,S.Soatto,and S.Sastry.A factorization method for3d multi-body motion estimation and segmen-tation.In Proc.of the Allerton Conference on Signals and Systems,pages1637–1646,October2002. [62]C.Mazzaro,M.Sznaier,O.Camps,S.Soatto,and A.Bissacco.A model(in)validation approach to gaitrecognition.In Proc.of the Intl.Conf.3DPVT,pages700–703,June2002.[63]S.H.Kang,T.F.Chan,and S.Soatto.Inpainting from multiple views.In Proc.of the Intl.Conf.3DPVT,pages622–625,June2002.[64]H.Jin,A.Yezzi,and S.Soatto.Variational multiframe stereo in the presence of specular reflections.In Proc.of the Intl.Conf.on3DPVT,pages626–630,June2002.[65]H.Jin and P.Favaro.A variational approach to shape from defocus.In Proc.of the Eur.Conf.on ComputerVision(ECCV),volume2,pages18–30,2002.[66]A.Bissacco and P.Saisan.Modeling human gaits with subtleties.In Workshop on Dynamic Scene Analysis,2002.[67]G.Doretto and S.Soatto.Editable dynamic textures.In Siggraph sketches,2002.[68]R.Vidal,S.Soatto,and S.Sastry.Segmentation of dynamic scenes from the multi-body fundamental matrix.In Proc.of the Workshop on Analysis of Dynamic Scenes,June2002.[69]S.Soatto and A.Yezzi.Deformotion:deforming motion,shape average and the joint segmentation andregistration of images.In Proc.of the Eur.Conf.on Computer Vision(ECCV),volume3,pages32–47, 2002.[70]A.Duci,A.Yezzi,S.Mitter,and S.Soatto.Region matching with missing parts.In Proc.of the Eur.Conf.on Computer Vision(ECCV),volume3,pages28–64,2002.[71]P.Favaro and S.Soatto.Learning shape from defocus.In Proc.of the Eur.Conf.on Computer Vision(ECCV),volume2,pages735–745,2002.[72]A.Bissacco,A.Chiuso,Y.Ma,and S.Soatto.Recognition of human gaits.In Proc.IEEE Conf.on Comp.Vision and Pattern Recogn.,pages II52–58,December2001.[73]P.Saisan,G.Doretto,Y.Wu,and S.Soatto.Dynamic texture recognition.In Proc.IEEE Conf.on Comp.Vision and Pattern Recogn.,pages II58–63,December2001.[74]P.Favaro,H.Jin,and S.Soatto.A semidirect approach to structure from motion.In IEEE Intl.Conf.onImage Analysis and Processing,pages250–255,Palermo–Italy,September2001.[75]A.Yezzi and S.Soatto.Stereoscopic segmentation.In Proc.of the Intl.Conf.on Computer Vision,pages59–66,2001.[76]S.Soatto,G.Doretto,and Y.Wu.Dynamic textures.In Proc.of the Intl.Conf.on Computer Vision,pages439–446,2001.[77]H.Jin,P.Favaro,and S.Soatto.Real-time feature tracking and outlier rejection with changes in illumination.In Proc.of the Intl.Conf.on Computer Vision,pages684–689,2001.[78]P.Favaro,H.Jin,and S.Soatto.Real-time virtual object insertion.In Proc.of the Intl.Conf.on ComputerVision,page749,2001.。