广东省地方税务局转发关于外国投资者出资比例低于25%的外商投资企

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河hã，pài, 洴píng, 洽qià，洳rù，洒sǎ，浉shī，洮táo, 洟tì，洼wā，洈wãi, 洧wěi, 洿wū，洗xǐ，xiǎn, 涎xián, 洨xiáo, 洫xù，洵xún, 洋yáng, 洇yīn, 浈zhēn, 洲zhōu, 洙zhū，浊zhuï，洩xiâ，洶xiōng, 洝àn, 洆chãng, 洊jiàn, 洉hîu, 洃huī，洚jiàng, 浄jìng, 洘kǎo, 洡lěi, 洠sì，洀pán, 浌pe o le, 洦pî，洓sâ，浀qū，洤quán, 洂yiâ，洬sù，涏tǐng, 洐xíng, 洢y ī，浂yì，泿yín, 洕yìn, 洅zài, 洔zhǐ，洷zhì，浜bāng, 浡bï，泓hïng, 浅jiān, qiǎn, 泾jīng, 泂jiǒng, 泃jū，沮jù，jǔ，泪lâi, 沴lì，泠líng, 泷lïng, shuāng, 泸lú，泺luî，泖mǎo, 沬mâi, 沵mǐ，泯mǐn, 沫mî，泥n í，nì，泞nìng, 泮pàn, 泡pào, pāo, 泙pēng, 泼pō，泣qì，泅qiú，沭shù，泗sì，沱tuï，泄xiâ，泻xiâ，泫xuàn, 沿yán, 泱yāng, 泆yì，泳yǒng, 油yïu, 泽zã，沾zhān, 沼zhǎo, 治zhì，注zhù，況kuàng, 泜zhī，泝sù，泑yōu, 泍bēn, 泟chēng, 沶yí，泹dàn, 沰tuō，沷fā，泒gū，泘hū，泋huì，泇jiā，泦jú，泬juã，泏chù，泧yuâ，泩shēng, 泀sī，沺tián, 泈zhōng, 泎zã，测câ，浐chǎn, 泚cǐ，洞dîng, 洏ãr, 洱ěr, 洑fú，fù，洸guāng, 浔hǎixún, xún, 洪hïng, 浒hǔ，xǔ，洹huán, 洄huí，浍huì，ku ài, 浑hún, hǔn, 活huï，济jì，jǐ，洎jì，浃jiā，浇jiāo, 洁jiã，津jīn, 浕jìn, 洭kuāng, 洌liâ，浏liú，洛luî，洣mǐ，洺míng, 浓nïng, 派pā涔cãn，涒tūn, 浘wěi, 洖wú，涍xiào, 浳yì，淽zhǐ，湴bàn, 淳chún, 淙cïng, 淬cuì，淡dàn, 淀diàn, 渎dîu, dú，淝fãi, 涪fú，淦gàn, 涫guàn, 涵hán, 淏hào, 涸hã，淴hū，淮huái, 混hún, hǔn, 渐jiàn, jiān, 淋lín, lìn, 淩l íng, 渌lù，渑miǎn, shãng, 淖nào, 淠pì，淇qí，清qīng, 渠qú，深shēn, 渗shân, 淑shū，涮shuàn, 淞sōng, 淌tǎng, 淘táo, 添tiān, 淟tiǎn, 涴wî，yuān, 淅xī，淆xiáo, 涯yá，淹yān, 液yâ，yinyín, 淤yū，渔yú，淯yù，渊yuān, 涌chōng, yǒng, 涤dí，涐ã，浮fú，涡guō，wō，海hǎi, 浬hǎilǐ，浛hán, hàn, 浩hào, 涣huàn, 浣huàn, 涧jiàn, 浸jìn, 涓juān, 浚jùn, xùn, 涞l āi, 浪làng, 涝láo, lào, 涖lì，涟lián, 流liú，浼měi, 涊niǎn, 涅niâ，浦pǔ，润rùn, 涩sâ，涉shâ，涘sì，涑sù，涛tāo, 涕tì，涂tú，涠wãi, 浯wú，浠xī，消xiāo, 浥yì，浴yù，涢yún, 涨zhàng, zhǎng, 浙zhâ，浞zhuï，浹jiā，涇jīng, 浧yǐng, 浾chēng, 浺chōng, 浱chún, 浟yōu, 浢dîu, 涜to ko, 淓fāng, 浲fãng, 浭gēng, 浫hǎn, 涆hàn, 涥hēng, 浤hïng, 涀xiàn, 浻jiǒng, 涃k ùn, 浨lǎn, 浶láo, 涙lâi, 浰lì，浖liâ，涁shân, 浝máng, 浽suī，浿pâi, 涄pīng, 浗qiú，涗shuì，涚shuì，洍sì，浵tïng, 涋tū淸qīng，渿nài, 湳nǎn, 渜nuǎn, 湪tuàn, 溌hātū，湆qì，湇qì，溬qiāng, 渞qiú，湭qiú，湶quán, 渘rïu, 溞sāo, 渻shěng, 湦shēng, 湤shī，湥tū，渨wěi, 溊bō，渷yǎn, 湙yì，湚yìn, 溁yíng, 溋yíng, 湵yǒu, 湡yú，渽zāi, 湽zī， tà滗bì，滨bīn, 滀chù，xù，滇diān, 滏fǔ，滆gã，滚gǔn, 滈hào, 滉huàng, 溷hǔn, 漷huǒ，滘jiào, 溘kâ，滥làn, 漓lí，溧lì，溜liù，liū，滦luán, 滤lǜ，满mǎn, 漭mǎng, 溟míng, 漠mî，溺nì，ni ào, 滂pāng, 溥pǔ，溱qín, zhēn, 溶rïng, 溽rù，滠shâ，溯sù，溻tā，滩tān, 溏táng, 滔tāo, 溦wēi, 滃wěng, wēng, 溪xī，滫xiǔ，溴xiù，滟yàn, 溢yì，溵yīn, 滢yíng, 滪yù，源yuán, 滍zhì，滓zǐ，澍shù，澌sī，潠s ùn, 澾tà，潭tán, xún, 潼tïng, 潫wān, 澫wàn, 潕wǔ，潝xī，潟xì，潔jiã，澆jiāo, 澘shān, 澐yún, 澁sâ，潛qián, 潿wãi, 潰kuì，澂chãng, 潷b ì，潨cōng, 澇lào, 澗jiàn, 潑pō，潯xún, 潤rùn, 澠miǎn, 潹chán, 淭qú，渃ruî，渋sâ，涻shâ，渖shěn, 涭shîu, 涾tà，涶tuō，涹wō，渓xī，涬xìng, 淢yù，渶yīng, 渁yuān, 渆yuān, 渕yuān, 涱zhàng, 渤bï，滁chú，湩dîng, 渡dù，溉gài, 港gǎng, 渹hōng, 湖hú，滑huá，湟huáng, 溅jiàn, jiān, 湔jiān, 湫jiǎo, jiū，qiū，湝jiē，湨jú，渴kě，溃kuì，溇lïu, 湄mãi, 渼měi, 湎miǎn, 渺miǎo, 湣mǐn, 湃pài, 湓pãn, 湿shī，湜shí，溲sōu, 溚t ǎ，湠tàn, 湉tián, 渟tíng, 湍tuān, 湾wān, 湋wãi, 渭wâi, 温wēn, 渥wî，湘xiāng, 渫xiâ，湑xǔ，xū，溆xù，渲xuàn, 湮yān, 渰yǎn, 湧yǒng, 游yïu, 渝yú，湲yuán, 渣zhā，溠zhā，湛zhàn, 滞zhì，滋zī，湊cîu, 減jiǎn, 湞zhēn, 湯tāng, 渢fēng, 測câ，湌cān, 淵yuān, 湻chún, 溈wãi, 渾hún, 溾āi, 湢bì，湐pî，湹chán, 湁chì，渧tí，湺xián, 湂â，渪rú，湗fâng, 溄fãng, 渱hïng, 湀guǐ，湼niâ，渙huàn, 湏huì，湷zhuāng, 湱huî，湒jí，溂lɑ，湅liàn, 湸liàng, 湰lïng, 満mǎn, 湈mãi, 渳mǐ。

Scheme-invariant NNLO evolution for unpolarized DIS structure functions

a r X i v :h e p -p h /0411110v 1 8 N o v 2004DESY 04-218hep-ph/0411110October 2004SFB/CPP-04-060Scheme-invariant NNLO evolution for unpolarized DIS structure functionsJ.Bl¨u mlein a and A.Guﬀanti aaDESY,Platanenallee 6,D–15738Zeuthen,GermanyWe discuss the combination of NNLO standard QCD evolution and scheme-invariant analysis for unpolarized DISstructure functions data as a method to reduce the theoretical errors on the determination of αs (M 2Z )to ∼1%in order to match the accuracy forseen for experimental errors from future high statistics measurements.1.INTRODUCTIONThe ﬁnal HERA-II data on unpolarized deeply in-elastic scattering (DIS)structure functions,com-bined with the present world data,will allow to reduce the experimental error on the strong cou-pling constant,αs (M 2Z ),to the level of 1%[1].On the theoretical side,the next-to-leading order (NLO)analyses have intrinsic limitations which allow no better than 5%accuracy in the deter-mination of αs [2].In order to match the ex-pected experimental accuracy,analyses of DIS structure functions need then to be carried out at the NNLO level,which requires the knowledge of the β–function and anomalous dimensions at the 3-loop level and the massless and massive 2-loop Wilson coeﬃcients.With the recent com-putation of the 3–loop anomalous dimensions [3],the whole scheme independent set of quantities is known,thus allowing a complete NNLO study of DIS structure functions.At the same time we think that combining the standard QCD analysis and ﬁts based on scheme-invariant evolution will provide a valuable tool to reduce theoretical and conceptual uncertainties in high-precision analy-ses aiming at 1%accuracy.Our ﬁnal goal is to perform the full NNLO anal-ysis of DIS structure functions aiming at an high-accuracy determination of αs and the extraction of a set of parton distribution functions (PDFs)with fully correlated errors.A complete analysisrefers to both the singlet and non-singlet evolu-tion.In the present letter we will concentrate only on the singlet sector,referring the reader to the recent non-singlet analysis [4].2.QCD EVOLUTION EQUATIONS Evolution equations of DIS structure functions depend,in the standard QCD approach,on two arbitrary scales which are introduced in the calcu-lation:the renormalization and the factorization scales.The renormalization scale dependence of any observable can be removed only summing the per-turbative series to all orders.Its presence is then unavoidable in any ﬁxed order result.Moreover,the dependence of the result on the variation of this unphysical scale can be used to give a rough estimate of the theoretical error due to higher or-der corrections.On the other hand,if we consider the depen-dence of the result on the factorization scale we may follow two approaches.The ﬁrst one is to consider the evolution of parton distribution func-tions which are process-independent but depend on the adopted factorization scheme.The sec-ond one is to study evolution equations for phys-ical observables.In these equations the rˆo le of anomalous dimensions for mass factorization is played by physical anomalous dimensions,which are independent of the factorization scheme but12depend on the process and the observables con-sidered.These two choices deﬁne what we call the standard QCD analysis and the scheme-invariant analysis.In the standard QCD analysis one introduces a parameterization for the diﬀerent PDFs at a given reference scale.The PDFs are then evolved up to the actual scale of the process,solving the evolution equations for mass factorization.Struc-ture functions are then constructed as a convolu-tion of the PDFs and the corresponding Wilson coeﬃcients.As a last step,a multi-parameter ﬁt is then performed to extract the value of the coupling constant and determine the parameters entering the PDF parameterization.In a scheme-invariant analysis the parameter-ization of the observable at the reference scale Q20is extracted from the data.The value of the observable at the scale Q2is determined solving the evolution equations with physical anomalous dimensions as evolution kernels.Finally a one-parameterﬁt is performed to extract the value ofαs(M2Z).Once the analysis is completed the parton densities in any factorization scheme can be extracted along with the respective experimen-tal errors.The advantage of considering factor-ization scheme invariant evolution equations for physical observables resides in the fact that the input distributions are observables.Full exploita-tion of this advantage requires therefore high statistics measurements to minimize errors on the input distributions.Furthermore,the correla-tions between the measured input distributions have to be considered in detail.Once more we would like to stress that the two analyses are complementary and not mutually ex-clusive.Thus performing both of them and com-paring the extracted values ofαs(M2Z),or corre-spondinglyΛQCD,provides a test of stability to determine the QCD parameter.3.PHYSICAL ANOMALOUS DIMEN-SIONSWhen considering the singlet evolution the quark-singlet and gluon PDFs can be mapped into a pair of structure functions via the matrix of Wilson coeﬃcients,C N,[5]:F N A F N B = C N A,ΣC N A,gC N B,ΣC N B,gΣN G N .(1)In Eq.(1),as we will do in the following,we work in Mellin space,where convolutions are ordinary products.The singlet evolution equations readd4K N F N A F N B ,(2) where the evolution variable ist=−2a s(Q20).(3)The coupling constant a s is related to the usual strong interactions coupling via the relationa s(µ2)=αs(µ2)β0L 1−β1ln Lβ40L2 , whereL=lnQ2dµ2=−∞n=0βn a n+2s(µ2)(7)and,in the case of SU(3)c,the coeﬃcients enter-ing up to3-loops areβ0=11−23N f,(8)β2=285718N f+3253 terms of the anomalous dimensions and the Wil-son coeﬃcients as[5]K N IJ= −4∂C N I,m(t)2β(a s(Q2))C N I,m(t)γN mn(t) C N −1n,J(t) .HereγN mn denotes the unpolarized anomalous di-mensions which are related to the evolution ker-nels in x−space byγN mn=−2 10dx x N−1P mn(x),m,n=q,g(10)and C N I,m are the Mellin transforms of the WilsoncoeﬃcientsC N I,m= 10dx x N−1C I,m(x).(11)While the anomalous dimensions and the Wilsoncoeﬃcients are,separately,factorization-schemedependent quantities,the combinations(9)deﬁn-ing the physical anomalous dimensions are fac-torization scheme invariants,order by order inperturbation theory.Diﬀerent pairs of structure function can betaken into consideration,in particular:•F2and∂F2/∂t[6,5,7];•F2and F L[8,5].In the case of polarized DIS a combined4 γN(0)qqγN(0)gg−γN(0)qgγN(0)gq ,K N(0)dd =γN(0)qq+γN(0)gg.NLO:K N(1)22=K N(1)2d=0(13)K N(1)d2=12β0 γN(0)qqγN(0)gg−γN(0)gqγN(0)qg+β02C N(1)2,g2 γN(1)qq−γN(0)qqγN(1)qgβ0 γN(0)qq+γN(0)gg−2β04 γN(2)qqγN(0)gg+γN(0)qqγN(2)gg−γN(2)qgγN(0)gq−γN(0)qgγN(2)gq+γN(1)qqγN(1)gg−γN(1)qgγN(1)gq+β04+β203C N (1)2,q2−4C N (2)2,q+β12β0γN (1)qq γN (0)gg +γN (0)qq γN (1)gg−γN (1)qg γN (0)gq −γN (0)qg γN (1)gq+3β2γN (0)qq γN (0)gg −γN (0)qg γN (0)gq−β2γN (0)qg2β30C N (1)2,q C N (1)2,g+β1C N (1)2,g+C N (1)2,gγN (1)qq+C N (1)2,g γN (0)gq+β0C N (1)2,g C N (1)2,q γN (0)qqγN (0)qq −γN (0)gg+γN (0)qqC N (1)2,g γN (1)gg+C N (2)2,g γN (0)gg+β02γN (0)qq γN (1)qq+γN (1)qq γN (1)gq+C N (1)2,g2γN (0)gqγN (0)gg −3γN (0)qg2−β20C N (1)2,g2γN (0)qq+β0−C N (1)2,g γN (0)qqγN (1)qg +C N (1)2,g2γN (0)qqγN (0)qq −γN (0)gg+γN (0)qqγN (0)gg2C N (1)2,g2γN (0)qq γN (0)qq −γN (0)gg2−γN (0)qqγN (1)qg2+C N (1)2,g γN (1)qgγN (0)qqγN (0)qq−γN (0)ggK N (2)dd=γN (2)qq +γN (2)gg −4β2−4β0C N (1)2,q2−2C N (2)2,q+β21β0γN (0)qq +γN (0)gg−β1γN (0)qg4β0C N (2)2,g−C N (1)2,q C N (1)2,g+γN (0)qq −γN (0)ggC N (1)2,g C N (1)2,q−C N (2)2,g−C N (1)2,gγN (1)qq −γN (1)gg −2β1−C N (1)2,g2γN (0)gq +γN (2)qg+2β050.511.522.5310101010F 2 S (x )Figure 1.NLO scheme invariant evolution for the singlet part of the structure function F 2for four light ﬂavors.structure function F 2which,depending on actual event kinematics,can receive contributions from heavy ﬂavors up to the level of 20−40%.Any analysis aiming at extracting αs form DIS struc-ture functions data with an accuracy of ∼1%must,therefore,take into account heavy ﬂavor contributions.Recently a parameterization of heavy ﬂavor Wilson coeﬃcients in Mellin space has been derived [11],thus allowing a direct in-corporation into computer codes which solve the evolution equation in Mellin space.5.NUMERICAL RESULTSWhile full numerical implementation of the NNLO scheme invariant evolution is almost ﬁn-ished,as a preliminary result,in Fig.1and Fig.2we present the scheme invariant evolution for the structure functions F 2and ∂F 2/∂t at NLO for four light ﬂavors.In the present computation the initial form of the observables is built up as a convolution of Wilson coeﬃcients and PDFs atthe reference scale Q 20=1GeV 2,using parame-terization of [12].-2.52.557.51012.51517.52010101010xd F 2 S/d t (x )Figure 2.NLO scheme invariant evolution for the singlet part of ∂F 2/∂t for four light ﬂavors.6.CONCLUSIONSThe future high precision HERA-II data will al-low a reduction of the experimental error on the determination of αs to ∼1%.On the theoret-ical side,the inclusion of NNLO corrections is mandatory to cope with such a level of accu-racy.In view of a high accuracy determination of the strong coupling constant we think that com-bining the standard6Neerven,Nucl.Phys.B586(2000)349.6.W.Furmanski and R.Petronzio,Z.Phys.C11(1982)293.7.J.Bl¨u mlein and H.B¨o ttcher,Nucl.Phys.B636(2002)225.8.S.Catani,Z.Phys.C75(1997)665.9.L.Baulieu and C.Kounnas,Nucl.Phys.B155(1979)429.10.J.Bl¨u mlein and S.Kurth,Phys.Rev.D69(1999)014018;J.Bl¨u mlein,mun.133 (2000)76;159(2004)19.11.S.I.Alekhin and J.Bl¨u mlein,Phys.Lett.B594(2004)299.12.A.D.Martin,R.G.Roberts,W.J.Stirlingand R.S.Thorne,Eur.Phys.J.C23(2002) 73。

Sign-changing blowing-up solutions for the Brezis--Nirenberg problem in dimensions four and five

SIGN-CHANGING BLOWING-UP SOLUTIONS FOR THE BREZIS–NIRENBERG PROBLEM IN DIMENSIONS FOUR AND FIVE
A. IACOPETTI, G. VAIRA Abstract. We consider the Brezis-Nirenberg problem:
1
SIGN-CHANGING BLOWING-UP SOL. FOR THE BREZIS–NIRENBERG PROB. IN DIM. N = 4, 5
2
sign-changing solutions of (1.1) when λ is smaller than λ∗ (B ) = λ1 (B )/4. A partial answer to this question posed by H. Brezis has been given in [10]. However, even in the case N = 4, 5, 6, some apparently strange phenomenon appears for what concerns radial sign-changing solutions in the ball. Indeed it was ﬁrst proved by Atkinson, Brezis and Peletier in [5] that for N = 4, 5, 6 there exists λ∗ = λ∗ (N ) such that there are no sign-changing radial solutions of (1.1) for λ ∈ (0, λ∗ ). Later this result was proved in [1] in a diﬀerent way. As it will be clear in the sequel, the nonexistence result of Atkinson, Brezis and Peletier is connected to the asymptotic analysis of low-energy sign-changing solutions of (1.1). Ben Ayed, El Mehdi and Pacella have investigated the latter question in [10],[11]. More precisely, denoting 1 1 by · the H0 (Ω)-norm and by S the best Sobolev constant for the embedding H0 (Ω) into 2∗ L (Ω), they studied the asymptotic behavior of sign-changing solutions uλ of (1.1) such that ¯ , if N = 3, where λ ¯ is the inﬁmum of the values uλ 2 → 2S N/2 , as λ → 0 if N ≥ 4, or λ → λ of λ for which nodal low-energy solutions exist (see [10]). They proved that these solutions blow up at two diﬀerent points a ¯1 , a ¯2 , which are the limit of the concentration points aλ,1 , aλ,2 of the positive and negative part of uλ . We point out that they need to assume the extra hypothesis that the concentration speeds of the two concentration points are comparable for N ≥ 4 (see [11]), while in dimension three this was derived without any extra assumption (see [10]). In view of the results of Ben Ayed, El Mehdi and Pacella we get that, for N ≥ 4, the question of proving the existence of sign-changing low-energy solutions (i.e. such that uλ 2 Ω converges to 2S N/2 as λ → 0) whose positive and negative part concentrate and blow up at the same point, was left open. In [30], by studying the asymptotic behavior, as λ → 0, of low-energy radial sign-changing solutions of (1.1) in the unit ball of RN , for N ≥ 7 (for these dimensions they do exist, as proved by Cerami, Solimini and Struwe in [20]), it has been proved that the positive and the negative part of such solutions concentrate and blow up at the center of the ball, and their concentration speeds are not comparable. Moreover, in the recent paper [33], it has been proved that for N ≥ 7 these so called “bubble-tower” solutions for (1.1), exist, as λ → 0, in general bounded domains with some symmetry. We point out that, in the previous result, the assumption N ≥ 7 on the dimension is not only technically crucial but it also is necessary. In fact, in the recent paper [31], the authors proved that for the low dimensions N = 4, 5, 6, and in general bounded domains, there cannot exist sign-changing “bubble-tower” solutions for (1.1), as λ → 0. This result is hence the counterpart, in general bounded domains, of the nonexistence theorem of Atkinson, Brezis and Peletier if we think of sign-changing “bubble-tower” solutions as the functions which play, in general bounded domains, the same role as the radial solutions in the case of the ball. In view of all these results it is natural to ask what kind of asymptotic proﬁle we can expect for sign-changing solutions in the low dimensions N = 4, 5, 6, as λ goes to some strictly positive “limit” value. The case of radial sign-changing solutions in the ball, having two nodal regions, has been investigated in [32]. By studying the associated diﬀerential equation, and taking into account the results of [6], [7], the authors prove that if (uλ ) is a family of radial sign-changing solutions of (1.1) in the unit ball B1 of RN , having two nodal regions, such that uλ (0) > 0, and ¯ =λ ¯ (N ) the limit value of the parameter λ, which arises from the study of the denoting by λ related ordinary diﬀerential equation, then: ¯ = λ1 (B1 ), where λ1 (B1 ) is the ﬁrst eigenvalue of −∆ in H 1 (B1 ), (i) if N = 4, 5, then λ 0 + and uλ concentrates and blows-up at the center of the ball having the limit proﬁle of a

如何用广东话打字

广东话打字大全氹（dang，2/9）= 哄；例如：氹你开心=哄你开心乜（mie，0/6)廿（nian，0/9）= 二十卅（sa，0/6）= 三十冇（mao，2/9）= 没有；例如：有冇钱？=有没有钱？甴曱（gad zad ,0/1）= 蟑螂叻（le,0/7）= 很棒；例如：佢啲成绩好叻啵=他的成绩很厉害呵冚（hem，0/1）= 全部？；例如：冚家铲=全家死光光攰（gui，5/8）= 累佢（qu，3/8）= 他或她；例如：距系边个？=他是谁？呃（e，2/0）= 骗；例如：呃神骗鬼抦（bing，2/8）= 殴打；例如：我哋去抦果条友=我们去揍那个傢伙拎（lin，0/9）= 提、拿拗（ao，0/1）= 矛盾咁（gan，3/4）= 如此、这样；例如：咁啊？=这样啊？咗（zuo，2/2）= 了；例如：食咗饭未？=吃了饭没有？呢（ne，0/1）、哩（li，0/7）= 这；例如：呢啲事=这些事乸（na，0/3）= 雌性；例如：鸡乸=母鸡咦（yi，7/4）、噫(yi，7/6)= 感叹词，啊（表奇怪）；例：咦？咯（lo，0/1）= 语气助词咩（mie，0/3）= 什么；例如：有咩事？=有什么事？咪（mi，1/7）= 不要；例如：咪走~=不要走~係（xi，7/9）= 是；例如：係乜嚟架？=是什么东西来的？*（diao，0/3）= 操唓（che，1/5）= 语气助词，表示鄙夷=切哽（geng，1/1）=当然；例如：哽係=当然是唔（wu，3/9）= 不；例如：唔係=不是俾（bi，3/5）= 给；例如：你俾我啦~=你给我吧~屙（e，3/3）= 排泄；例如：屙尿=拉尿掂（dian，0/6）= 完结或状态佳之意；例如：搞掂=办妥掟（ding，2/5）= 扔啫（ze，2/2）= 语气助词；例如：唔係啫=不是的啰（luo，3/4）= 语气助词/啰嗦唸（nian，1/7）= 想；例如：我唸咁做唔好嘎？=我想这样做不好吧？啖（dan，2/7）= 口；例如：咬一啖=咬一口啵（bo，3/2）= 语气助词靓（liang，1/4）= 漂亮或表示幼稚；例如：靓仔=帅哥/小子揾（wen，2/0）= 找、挣；例如：揾食=谋生睇（di，3/2）= 看；例如：睇电视=看电视嗟（jue，1/7）= 语气助词，感叹声；例如：嗟~好吧毙咩？=切~很了不起么？嘅（ge，4/6）= 的；例如：你嘅道服呢？=你的道服呢？喔（wo，1/5）= 语气助词嗮（sai，0/8）= 语气助词浪费嗰（go，0/1）= 那；例如：嗰啲=那些嘞（le，0/9）= 语气助词嘢（ge，4/7）= 东西；例如：有嘢睇=有东西看嘈（cao，0/6）= 吵；例如：嘈乜鬼=吵什么东西嘎（ga，0/4）= 语气助词；例如：唔系咁嘎~= 不是这样的~嘥（sai，0/9）= 浪费、错过；例：咁好嘅机会嘥咗=这么好的机会错过了嗻（zhe，2/7）= 语气助词；例如：我先至23嗻=我才23呀~潎（pie，0/9）= 闪，走人撩（liao，0/3）= 挑逗；例如：撩是斗非=若是生非瞓（fen，5/6）= 睡；例如：眼瞓=困顿嬲（niao，0/6）= 生气/一向；例如：我好嬲/必嬲喺咁嘅=我很生气/向来都是这样的嫐（nao,1/8）解释同上嚟（li，9/7）= 来；例如：入嚟=进来囖（lo,0/2）語氣助詞吤（ge,4/4）例：将啲橙搣开一吤吤（一片片）妳（ni,2/0）女嘅“你”惗（nie,4/3）想例：成日惗埋晒啲衰嘢撇（pie,2/2）闪，走人蠹(du,1/7)例：一蠹尿淠( pei,3/8)例：一淠屎氽(tun,0/6)例：一氽水嗌(wo,2/1)嚄(wo,2/3)谂(shen,2/3)晏(yan,5/7) 晏昼（下午）；食晏（吃午饭）嗤(chi ,3/8) 打乞嗤(打喷嚏)啋(cai,1/4) 啋理佢都傻(傻瓜才理他)嚿(huo,3/1)一嚿石头（一块石头）啩(gua,1/9) 你会应承啩？（你会答应吧？）掴(guo,1/4)掴几巴（打几个耳光）揩(kai,0/2) 揩油（占小便宜）嚡(hai ,1/8)粗糙：条脷好嚡（舌头很粗糙）悭(qian,3/2)悭钱（省钱）呷(xia ,1/7)呷醋（吃醋）喐(yu ,11/5) 喐手（动手）唔係"郁"邋(la,1/1)遢(ta ,1/7)踎(meo,0/1) 近读某；即蹲；佢哋习惯踎住食嘅（他们习惯蹲着吃）啱(ngam,0/1) 唔啱着（不合穿）；啱先（刚才）奀(en,0/5) 近读银；奀瘦（瘦弱）闩(shuan, 0/3)读山，闩门（关门）呔(dai,1/4)车呔（车胎）唞(teo,0/1) 早唞（晚安）；唞凉（乘凉）劏(tang,3/1)劏猪（杀猪）keep住...第日有用...氹（dang，2/9）= 哄；例如：氹你开心=哄你开心廿（nian，0/9）= <数> 二十卅（sa，0/6）= <数> 三十冇（mao，2/9）= 没有；例如：有冇钱？=有没有钱？甴曱（gad zad ,0/1）= 蟑螂攰（gui，5/8）= 累抦（bing，2/8）= 殴打；例如：我哋去抦果条友=我们去揍那个傢伙拎（lin，0/9）= 提、拿拗（ao，0/1）= 矛盾乸（na，0/3）= 雌性；例如：鸡乸=母鸡哽（geng，1/1）=当然；例如：哽係=当然是俾（bi，3/5）= 给；例如：你俾我啦~=你给我吧~掟（ding，2/5）= 扔嬲（niao，0/6）= 生气/嫐（nao,1/8）解释同上吤（ge,4/4）例：将啲橙搣开一吤吤（一片片）氽（tun,0/6）例：一氽水晏（yan,5/7）晏昼（下午）；食晏（吃午饭）嗤（chi ,3/8）打乞嗤（打喷嚏）啋（cai,1/4）啋佢都傻（傻瓜才理他）嚿（huo,3/1）一嚿石头（一块石头）啩（gua,1/9）你会应承啩？（你会答应吧？）掴（guo,1/4）掴几巴（打几个耳光）嚡（hai ,1/8）粗糙：条脷好嚡（舌头很粗糙）嗮（sai，0/8）= 语气助词浪费嗰（go，0/1）= 那；例如：嗰啲=那些嘞（le，0/9）= 语气助词嘎（ga，0/4）= 语气助词；例如：唔系咁嘎~= 不是这样的~嗻（zhe，2/7）= 语气助词；例如：我先至23嗻=我才23呀~潎（pie，0/9）= 闪，走人撩（liao，0/3）= 挑逗；例如：撩是斗非=惹是生非啫（ze，2/2）= 语气助词；例如：唔係啫=不是的啰（luo，3/4）= 语气助词/啰嗦啵（bo，3/2）= 语气助词嗟（jue，1/7）= 语气助词，感叹声；例如：嗟~好吧毙咩嘅（ge，4/6）= 的；例如：你嘅也呢？悭（qian,3/2）悭钱（省钱）呷（xia ,1/7）呷醋（吃醋）踎（meo,0/1）近读某；即蹲；闩（shuan, 0/3）读山，闩门（关门）呔（dai,1/4）车呔（车胎）唞（teo,0/1）早唞（晚安）；唞凉（乘凉）三个金念鑫（xīn）三个木念森（sēn）三个水念淼（miǎo）三个火念焱（yàn）三个土念垚（yáo）三个日念晶（jīng）三个石念磊（lěi）三个人念众（zhòng）三个口念品（pǐn）三个牛念犇（bēn）三个手念掱（pá）三个目念瞐（mò）三个田念畾（lěi）三个马念骉（biāo）三个羊念羴（shān）三个犬念猋（biāo）三个鹿念麤（cū）三个鱼念鱻（xiān）三个贝念赑（bì）三个力念劦（lie）三个毛念毳（cuì）三个耳念聶（niè）三个车念轟（hōng）三个直念矗（chù）三个龙念龘（tà、dá）三个原念厵（yuán）三个雷念靐（bìng）三个飞念飝（fēi）三个刀念刕（lí）三个又念叒（ruò）三个士念壵（zhuàng）三个小念尛（mó）三个子念孨（zhuǎn）三个止念歮（sè）三个风念飍（xiū）三个隼念雥（zá）三个吉念嚞（zhé）三个言念譶（tà）三个舌念舙（qì）三个香念馫（xīn）三个泉念灥（xún）三个心念惢（suǒ）三个白念皛（xiǎo）乜（mie，2）= 什么；例如：你有乜？=你有什么？廿（nian，4）= <数> 二十卅（sa，4）= <数> 三十冇（mao，4）= 没有；例如：有冇钱？=有没有钱？甴曱（gad zad，5）= 蟑螂叻（le/ li，5）= 很棒；例如：佢啲成绩好叻啵=他的成绩很厉害呵冚（hem，5）= 全部？；例如：冚家铲=全家死光光氹（tem，5）= 哄；例如：氹你开心=哄你开心攰（gui，6）= 累佢（qu，6）= 他或她；例如：距系边个？=他是谁？呃（e，7）= 骗；例如：呃神骗鬼抦（bing，8）= 殴打；例如：我哋去抦果条友=我们去揍那个傢伙拎（lin，8）= 提、拿拗（ao，8）= 矛盾咁（gan，8）= 如此、这样；例如：咁啊？=这样啊？咗（zo/ zuo，8）= 了；例如：食咗饭未？=吃了饭没有？呢（ne，8）、哩（kjf、li，10）= 这；例如：呢啲事=这些事乸（na，8）= 雌性；例如：鸡乸=母鸡哋（di/dei/ mi，9）= 们；例如：我哋=我们咦（yi，9）、噫(kujn、yi，16)= 感叹词，啊（表奇怪）；例：咦？咯（lo，9）= 语气助词咩（mie，9）= 什么；例如：有咩事？=有什么事？咪（mi，9）= 不要；例如：咪走~=不要走~係（xi，）= 是；例如：係乜嚟架？=是什么东西来的？叼（diao，）= 操唓（che，）= 语气助词，表示鄙夷=切哽（geng，）=当然；例如：哽係=当然是唔（wu/en，）= 不；例如：唔係=不是（）= 语气助词俾（bi，）= 给；例如：你俾我啦~=你给我吧~冧（lin，）= 哄、陶醉；例如：佢冧我/要冧嚇佢=她喜欢我/要哄一下她屙（e，）= 排泄；例如：屙尿=拉尿掂（dian，）= 完结或状态佳之意；例如：搞掂=办妥掟（ding，）= 扔啫（ze，）= 语气助词；例如：唔係啫=不是的啱（yan，）= 对、合适、恰巧；例如：啱心水=合心意啰（luo，）= 语气助词/啰嗦唸（nian，）= 想；例如：我唸咁做唔好嘎？=我想这样做不好吧？啖（dan，）= 口；例如：咬一啖=咬一口啵（bo，）= 语气助词靓（liang，）= 漂亮或表示幼稚；例如：靓仔=帅哥/小子揾（wen，）= 找、挣；例如：揾食=谋生睇（ti/ di，）= 看；例如：睇电视=看电视喺（xi，）= 在；例如：喺边度？=在哪里？啲（di，）= 的、少许；例如：畀啲钱佢=给一点钱他嗟（jue，）= 语气助词，感叹声；例如：嗟~好吧毙咩？=切~很了不起么？嘅（ge/kai，）= 的；例如：你嘅道服呢？=你的道服呢？喔（wo，）= 语气助词嗮（sai，）= 语气助词浪费嗰（go，）= 那；例如：嗰啲=那些嘞（la/ le，）= 语气助词嘢（ye，）= 东西；例如：有嘢睇=有东西看嘈（cao，）= 吵；例如：嘈乜鬼=吵什么东西嘎（ga，）= 语气助词；例如：唔系咁嘎~= 不是这样的~嘥（sai，）= 浪费、错过；例：咁好嘅机会嘥咗=这么好的机会错过了嗻（zhe，）= 语气助词；例如：我先至23嗻=我才23呀~潎（pie，）= 闪，走人撩（liao，）= 挑逗；例如：撩是斗非=若是生非瞓（fen，）= 睡；例如：眼瞓=困顿噏（xi，）= 唠叨；例如：发噏疯=胡说八道嬲（niao，）= 生气/一向；例如：我好嬲/必嬲喺咁嘅=我很生气/向来都是这样嫐（净得拼音nao）解释同上嚟（li，）= 来；例如：入嚟=进来攞（luo，）= 拿；例如：攞嘢=拿东西囖（lo、luo，）語氣助詞吤（ge，）例：将啲橙搣开一吤吤（一片片）妳（ni，）女嘅“你”潝（xi，）例：潝住啲汗对身体唔好惗（nie，）想例：成日惗埋晒啲衰嘢撇（pie，）闪，走人嘁迉qi 例：嘁起条筋|| 个地太滑，因住迉（滑）低蠹（du，）例：一蠹尿淠（pei，）例：一淠屎氽（tun，）例：一氽水1 乸（na，0/3）= 雌性；例如：鸡乸=母鸡2 咦（yi，7/4）、噫(yi，7/6)= 感叹词，啊（表奇怪）；例：咦？copyright dedecms3 咯（lo，0/1）= 语气助词织梦内容管理系统4 咩（nie，0/3）= 什么；例如：有咩事？=有什么事？内容来自dedecms5 咪（mi，1/7）= 不要；例如：咪走~=不要走~ 6 係（xi，7/9）= 是；例如：係乜嚟架？=是什么东西来的？7 唓（che，1/5）= 语气助词，表示鄙夷=切织梦内容管理系统8 哽（geng，1/1）=当然；例如：哽係=当然是9 唔（wu，3/9）= 不；例如：唔係=不是10 俾（bi，3/5）= 给；例如：你俾我啦~=你给我吧~ 11 掂（dian，0/6）= 完结或状态佳之意；例如：搞掂=办妥织梦内容管理系统12 掟（ding，2/5）= 扔13 啫（ze，2/2）= 语气助词；例如：唔係啫=不是的本文来自织梦14 啰（luo，3/4）= 语气助词/啰嗦内容来自dedecms15 唸（nian，1/7）= 想；例如：我唸咁做唔好嘎？=我想这样做不好吧？织梦内容管理系统16 啖（dan，2/7）= 口；例如：咬一啖=咬一口织梦好，好织梦17 啵（bo，3/2）= 语气助词18 靓（liang，1/4）= 漂亮或表示幼稚；例如：靓仔=帅哥/小子copyright dedecms19 揾（wen，2/0）= 找、挣；例如：揾食=谋生copyright dedecms20 睇（di，3/2）= 看；例如：睇电视=看电视织梦内容管理系统21 嗟（jue，1/7）= 语气助词，感叹声；例如：嗟~好吧毙咩？=切~很了不起么？本文来自织梦22 嘅（ge，4/6）= 的；例如：你嘅道服呢？=你的道服呢？本文来自织梦23 喔（wo，1/5）= 语气助词织梦内容管理系统24 嗮（sai，0/8）= 语气助词浪费织梦好，好织梦25 嗰（go，0/1）= 那；例如：嗰啲=那些copyright dedecms26 嘞（le，0/9）= 语气助词本文来自织梦27 嘢（ge，4/7）= 东西；例如：有嘢睇=有东西看织梦好，好织梦28 嘈（cao，0/6）= 吵；例如：嘈乜鬼=吵什么东西织梦好，好织梦29 嘎（ga，0/4）= 语气助词；例如：唔系咁嘎~= 不是这样的~ copyright dedecms30 嘥（sai，0/9）= 浪费、错过；例：咁好嘅机会嘥咗=这么好的机会错过了织梦内容管理系统31 嗻（zhe，2/7）= 语气助词；例如：我先至23嗻=我才23呀~ 内容来自dedecms32 潎（pie，0/9）= 闪，走人本文来自织梦33 撩（liao，0/3）= 挑逗；例如：撩是斗非=惹是生非34 瞓（fen，5/6）= 睡；例如：眼瞓=困顿copyright dedecms35 嬲（niao，0/6）= 生气/一向；例如：我好嬲/毕嬲喺咁嘅=我很生气/向来都是这样的36 嫐（nao,1/8）解释同上织梦好，好织梦37 嚟（li，9/7）= 来；例如：入嚟=进来本文来自织梦38 囖（lo,0/2）語氣助詞本文来自织梦39 吤（ge,4/4）例：将啲橙搣开一吤吤（一片片）织梦内容管理系统40 妳（ni,2/0）女嘅“你” 织梦好，好织梦41 惗（nie,4/3）想例：成日惗埋晒啲衰嘢42 氽(tun,0/6)例：一氽水织梦内容管理系统43 晏(yan,5/7) 晏昼（下午）；食晏（吃午饭）44 嗤(chi ,3/8) 打乞嗤(打喷嚏) 本文来自织梦45 啋(cai,1/4) 啋佢都傻(傻瓜才理他) 织梦内容管理系统46 嚿(huo,3/1)一嚿石头（一块石头）本文来自织梦47 啩(gua,1/9) 你会应承啩？（你会答应吧？）织梦内容管理系统48 掴(guo,1/4)掴几巴（打几个耳光）本文来自织梦49 嚡(hai ,1/8)粗糙：条脷好嚡（舌头很粗糙）本文来自织梦50 悭(qian,3/2)悭钱（省钱）51 呷(xia ,1/7)呷醋（吃醋）内容来自dedecms52 喐(yu ,11/5) 喐手（动手）本文来自织梦53 踎(meo,0/1) 近读某；即蹲；佢哋习惯踎住食嘅（他们习惯蹲着吃）织梦好，好织梦54 啱(ngam,0/1) 唔啱着（不合穿）；啱先（刚才）织梦好，好织梦55 奀(en,0/5) 近读银；奀瘦（瘦弱）织梦好，好织梦56 闩(shuan, 0/3)读山，闩门（关门）织梦内容管理系统57 呔(dai,1/4)车呔（车胎）织梦内容管理系统58 唞(teo,0/1) 早唞（晚安）；唞凉（乘凉）59 嗌(wo) 嚄(wo) 谂(shen) 乜（mie) copyright dedecms60 冧(LEM) 冚(HEM) 啱(NGAM) copyright dedecms61 氹（dang，2/9）= 哄；例如：氹你开心=哄你开心copyright dedecms62 廿（nian，0/9）= <数> 二十63 卅（sa，0/6）= <数> 三十内容来自dedecms64 冇（mao，2/9）= 没有；例如：有冇钱？=有没有钱？copyright dedecms65 甴曱（gad zad ,0/1）= 蟑螂内容来自dedecms66 叻（le,0/7）= 很棒；例如：佢啲成绩好叻啵=他的成绩很厉害呵织梦内容管理系统67 攰（gui，5/8）= 累织梦内容管理系统68 佢（qu，3/8）= 他或她；例如：佢系边个？=他是谁？69 呃（e，2/0）= 骗；例如：呃神骗鬼教你打广东话难打之字70 抦（bing，2/8）= 殴打；例如：我哋去抦果条友=我们去揍那个傢伙copyright dedecms71 拎（lin，0/9）= 提、拿内容来自dedecms7 2拗（ao，0/1）= 矛盾73 咁（gan，3/4）= 如此、这样；例如：咁啊？=这样啊？织梦内容管理系统74 咗（zuo，2/2）= 了；例如：食咗饭未？=吃了饭没有？copyright dedecms75 呢（ne，0/1）、哩（li，0/7）= 这；例如：呢啲事=这些事。

人教版一年级数学常见字认识(带拼音)

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人教版一年级数学常见字认识（带拼音）
一（）班姓名：
1
shàng x i à
上下
zuǒ yòu
左右
2
fāng f ǎ
方法
h é chà
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带拼音儿歌

ni on j i g e 年级歌y i ni an j i d i一年级低，e ni an j ig a 二年级高，k a f e j 1 开飞机；wM gqi rnch ao 往前超。

s anni an j ibei ged ash Ub ao三年级背个大书包。

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FESTO-COMPRESSED AIR REGULATION-MS-LFR_EN

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Filters MS-LF
Fine and micro filters MS-LFM Activated carbon filters MS-LFX
Water separators MS-LWS
G¼, Gy, G½, G¾ G½, G¾, G1, G1¼, G1½ G1, G1¼, G1½, G2
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Silencer – – – – – – – – – – – – – – – – – – – – –
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Filter regulators MS-LFR, MS series
Product range overview – MS series service units Type Size Pressure regulation range [bar] Supply voltage
Pneumatic connection in housing Code Service units MSB-FRC 4 6 9 12 Gx, G¼ G¼, Gy, G½ – –
Connecting plate AG… Gx, G¼, Gy G¼, Gy, G½, G¾
0.05 0.05 … … 0.7 2.5 D2 D4 – – – –
Filter regulators MS-LFR, MS series

英语字根252个

英语字根1,ag=do,act 做，动2,agri=field 田地，农田(agri 也做agro,agr)3,ann=year年4,audi=hear听5,bell=war战争6,brev=short短7,ced,ceed,cess=go行走8,cept=take拿取9,cid,cis=cut,kill切，杀10,circ=ring环，圈11,claim,clam=cry,shout喊12,clar=clear清楚，明白13,clud=close,shut关闭14,cogn=known知道15,cord=heart心16,corpor=ｂｏｄｙ体17,cred=believe,trust相信18,cruc=cross 十字19,cur=care关心20,cur,curs,cour,cours=run 21,dent=tooth牙齿22,di=day 日23,dict=say说24,dit=give给25,don=give给26,du=tow二27,duc,duct=lead引导28,ed=eat吃29,equ=equal等，均，平30,ev=age年龄时代时期31,fact=do,make做，作32,fer=bring,carry带拿33,flor=flower花34,flu=flow流35,fus=pour灌，流，倾泄36,grad=step,go,grade步走级37,gram=write,draw写，画，文字，图形38,graph=write,records写，画，记录器，图形39,gress=go,walk 行走40,habit=dwell居住41,hibit=hold拿，持42,hospit=guest客人43,idio=peculiar,own,private,proper特殊的，个人的，专有的44,insul=island岛45,it=go行走46,ject=throw投掷47,juven=young年轻，年少48,lectchoose,gather选，收49,lev=raise举，升50,liber=free自由51,lingu=language语言52,liter=letter文字，字母53,loc=place地方54,log=speak言，说55,loqu=speak言，说56,lun=moon月亮57,man=dwell,stay居住，停留58,manu=hand手59,mar=sea海60,medi=middle中间61,memor=memory记忆62,merg=dip,sink 沉，没63,migr=remove,move移64,milit=soldier兵65,mini=all,little小66,mir=wonder惊奇67,miss=send 投，送，发(miss也作mit)68,mob=move动69,mort=death死70,mot=move移动，动71,nomin=name名72,nov=new新73,numer=number 数74,onym=name 名75,oper=work工作76,ori=rise升起77,paci=peace和平，平静78,pel=push,drive推，逐，79,pend,pens=hang悬挂weigh称量pay支出，付钱，花费80,pet=seek追求81,phon=sound声音82,pict=paint画，描绘83,plen=full满，全84,plic=fold折，重叠85,pon=put放置86,popul=people人民87,port=carry拿，带，运88,pos=put放置89,preci=price价值90,punct=point,prick点，刺91,pur=pure清，纯，净92,rect=right,straight正，直93,rupt=break破94,sal=salt盐95,scend,scens=climb攀爬96,sci=know知97,sec,sequ=follow跟随98,sect=cut切割99,sent,sens=feel感觉100,sid=sit坐101,sist=stand站立102,son=sound声音103,spect=look看104,spir=breathe呼吸105,tail=cut切割106,tain,ten,tin=hold握，守107,tect=cover掩盖108,tele=far远109,tempor=time时110,tend(tens,tent)=stretch神111,terr=land,earth陆地112,text=weave纺织113,tract=draw拉，抽，引114,un=one一115,urb=city城市116,vac,vacu=empty空117,vad,vas=walk,go行走118,vari=change变化119,ven=come来120,vert,vers=turn转121,vi,via=way道路122,vis,vid=see看123,vit=life生命124,viv=live活125,aer(o)空气航空126,alt高127,am爱128,ambul行走129,anim生命，活，心神，意见130,anthrop(o)人，人类131,aqu水132,arch统治者，首脑archy 统治133,avi鸟134,bat打135,biblio书136,birg战斗，打137,cad,cas降落，降临138,cert 确定，确信139,chron时140,cid降落，降临141,clin倾142,co(o)世界，宇宙143,cracy统治crat支持144,cub躺，卧145,cult耕，培养146,cycl(o)圈，环，轮147,dem(o)人民148,dexter右149,doc教150,dom屋，家151,dorm睡眠152,drom跑153,ego我154,err漫游，走，行155,fabl,fabul 言156,feder联盟157,ferv沸，热158,fict,fig塑造，虚构159,fid信任160,fil线161,flat 吹162,flect,flex弯曲163,flict打击164,frag,fract破，折165,frig冷166,fug逃，散167,fund,found底，基础168,gam婚姻169,gram谷物，谷粒170,grav重171,greg群，集合172,gyn,gynce(o)妇女173,hal呼吸174,helic(o)螺旋175,hes,her粘着176,ign火177,integr整，全178,junct连接，连结179,later边180,leg读181,leg,legis法182,luc光183,lumin光184,magn(i)大185,matr(i)，metro母186,mega大187,mens测量188,ment心神智思意189,min伸出，突出190,misc混合，混杂191,mis(o)恨，厌恶192,mon告诫，提醒193,mon单独，一个194,mur墙195,mut变换196,nat诞生197,nav船198,nect,nex结，系199,negr,nigr黑200,nihil无201,noc,nox伤害202,noct(i)夜203,norm规范，正规，正常204,nutri营养205,orn装饰206,par生，产207,parl说，谈208,past喂，食209,path(o)，pathy疾病，疗法210,patr(i)父，祖211,ped脚，足212,ped儿童，小孩213,petr(o)石214,phag吃215,phil(o)爱216,phob(ia)怕217,plex重叠，重218,polis城市219,prim第一，最初220,radic根221,ras,rad擦，刮222,rid,ris笑223,rod,ros咬，啮224,rot轮，转225,rud原始，粗野226,rur,rus农村227,sat,satis,satur足，满，饱228,sen老229,simil,simul相似，相同230,sol单独231,sol太阳232,soph智慧233,sper希望234,spers,spars散，撒235,splend发光，照耀236,stell星237,tact,tag触238,the(o)神239,ton音240,tort扭241,tour迂回，转242,trud,trus推，冲243,tut,tuit监护，看管244,umbr阴影245,ut,us用246,vas走，漫游247,val强248,van空，无249,ver(i)真实250,voc,vok声音，叫喊251,vol,volunt意志，意愿252，volu,volv滚，转。

DGNDPGNDGNDAGND各是什么意思

DGNDPGNDGNDAGND各是什么意思在当今数字化和信息化飞速发展的时代，各种缩写和术语层出不穷，让人眼花缭乱。

就像“DGNDPGNDGNDAGND”这样一组看似毫无规律的字符组合，对于大多数人来说可能是一头雾水。

那它们究竟是什么意思呢？要弄清楚这组字符的含义，我们首先得打破常规的思维模式，不能仅仅从常见的概念和定义去推断。

也许这不是某个已经被广泛认知和定义的标准缩写，而是在特定的领域、特定的情境下被创造出来的独特标识。

有可能“DGNDPGNDGNDAGND”是某一种加密算法中的关键代码片段。

在网络安全领域，为了保护数据的机密性和完整性，常常会使用各种复杂的加密算法。

这些算法中包含了大量的随机生成的字符和代码，而“DGNDPGNDGNDAGND”可能就是其中的一部分，用于对信息进行加密和解密的关键步骤。

又或者它是某个科学研究项目中的特定实验参数代号。

在科学研究中，为了准确记录和描述实验过程和结果，会给各种变量和参数赋予特定的代号。

也许在某个前沿的物理实验、生物研究或者化学分析中，“DGNDPGNDGNDAGND”代表着一种特定的物质成分比例、实验条件设置或者数据采集模式。

再往技术工程的方向想，它可能是某种新型电子设备或机械装置的内部零部件编号。

在现代制造业中，每个零部件都有其独特的编号，以便于生产、组装和维护过程中的识别和管理。

“DGNDPGNDGNDAGND”也许就是某个尚未普及的新型设备中一个关键零部件的编号，只有相关的研发和生产人员才能够理解其具体含义。

从软件开发的角度来看，它可能是一段程序代码中的变量名或者函数名。

在编程世界里，开发者会根据自己的逻辑和习惯为变量和函数命名，有时候为了避免与已有的名称冲突或者出于特定的功能需求，会使用一些看起来比较复杂和独特的名称。

“DGNDPGNDGNDAGND”可能就是这样一个在特定程序中发挥重要作用的标识符。

另外，在一些创意领域，比如艺术设计、音乐创作或者文学写作中，“DGNDPGNDGNDAGND”也有可能是创作者突发奇想的一个创意元素名称。

n和l字对照表

nan
lan
nang
②囊、馕 ①孬种②挠痒、蛲③恼、脑、玛、瑙④闹、泥淖 ④木讷 ②馁④内 ④娇嫩 ②能量
Байду номын сангаас
lang
nao ne nei nen neng
lao le lei
leng
ni
①妮②你、尼、呢、泥、霓、拟、旖旎④昵、逆、匿、腻、溺
li
nian
①信手拈来②年、粘稠、鲶鱼③灯捻、撵走、碾盘④廿、念
n和l对照表 n
na nai ②拿③哪④那、呐、纳捺娜衲钠 ③乃、奶、氖 ④奈、耐、萘 ①囡囡（对小孩爱称） ② 男、南、楠③腩④难 la lai
l
①垃圾、拉、啦②喇叭④腊肉 ②来④青睐、赖账、癞、籁 ②兰拦栏蓝谰、山岚、贪婪、阑珊、波澜、褴褛（lǚ）、斑斓 ③游览、缆绳、橄榄、懒④烂、滥用 ②郎狼榔螂廊、书声琅琅、锒铛入狱、稂莠不齐③浪、莨菪（dà ng） ①捞②劳牢崂、唠叨、醪糟③ 老佬姥、④奶酪、唠嗑、烙饼、捞仔 ④乐 ①勒②雷擂累赘（zhuì）③积、堡垒、磊落蕾丝、傀儡、耒阳④ 泪类肋、擂台、劳累 ②棱形、瓦楞③冷④愣 ②厘狸离梨鹂、犁铧(huá)、咖喱、淋漓尽致、罹难、篱笆、蠡 ③李礼里理鲤俚、迤逦④力立利粒丽例吏历栗厉沥励、老骥伏枥、疠疫、暴戾、隶书、荔枝、栎树、莅会、砾石、猞猁、砺石、风声鹤唳、牡蛎、斗笠、粗粝、霹雳、傈僳族、痢疾 ②连队、怜爱、门帘、莲花、涟漪、对联、廉洁、鲢鱼、镰刀 ③敛财、敛衽（rèn）、脸谱、白蔹 ④练笔、炼钢、恋慕、入殓、链条、潋滟良知、凉白开、梁上君子、量筒、粮仓、粱肉、踉跄、两岸 liàng亮点、谅解、一辆车、靓丽、量词、晾晒、踉跄 ②辽阔、疗程、疗效、聊天、僚机、寥廓、撩拨、嘹亮、獠牙、潦草、缭乱、燎原 ③了不得、蓼叶 ④料定、撂倒、廖、瞭望、镣铐

第四单元知识小测试

第四单元知识小测试班级：姓名：一、看拼音，写词语chãn jìpán wân kǒu shào mái fú níng shãn shāo huǐ( )( )( )( )( )( )shāo huǐ wãi hù zhuàng liâ xī shēng xiâ yì chãn jìn( )( )( )( )( ) ( )shēn qíng kǎi xuán zhēng yī níng gùā yí jīng tōng( )( )( )( )( )( )jīng jì gîng xiàn shâng tán zuì'â hū yù jiàn kàng( )( )( )( )( ) ( )二、组词。

1、多音字。

dìng（） tán( ) zhā( ) níng( )钉｛弹｛扎｛拧｛dīng（） dàn( ) zā( ) nǐng( ) guān（） xū( ) huán( ) hã( )冠｛吁｛还｛和｛guàn（） yù( ) hái( ) huï( )2、形近字。

削（）哨（）挺（）用（）兔（）｛｛｛｛｛销（）捎（）延（）甩（）鬼（）济（）贡（）圣（）汉（）凯（）｛｛｛｛｛挤（）贯（）全（）叹（）铠（）3、近义词：沉静——（）轻蔑——（）凶恶——（）温和——（）娇嫩——（）宝贵——（）阻挡——（）祈盼——（）4、反义词：沉寂——（）曲折——（）撒谎——（）柔软——（）给予——（）赞扬——（）频频——（）欢乐——（）三、填空1、《夜莺的歌声》文中的“小夜莺”指的是_________，在课文开头，他吹出夜莺的歌声是为了________________________________，他穿着______________，是为了_____________，在给德国兵带路时，有时学夜莺叫，有时学杜鹃叫是为了_____________，在接近游击队埋伏地时，他用夜莺叫______________________，用杜鹃叫________________________________，在听到游击队的回声后，他______________________。

声母bpmf训练例字及例词

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