Wo yiwéi jiéhun jiudiàn jingli de yìsi shì shuo, rúguo women bù tóngyì, wo de qizi huì shì wo keyi tuifan de rén. Shìshí zhèngmíng bùshì zhen de. Xiàng wo de dì yi rèn qizi, lián jingcháng ting qilái xiàng yigè pò jìlù de jìlù: Wo méiyou luxíng wo zhàngfu de zhízé. Wo cónglái méiyou gei ta “qizi de lìchang”. Wo shì zìsi de wo zhi xiang zìji qù xiangshòu. Dang wo duì wo de shengyin biaoxiàn chu rènhé fánnao shí, wo duì ta hen shengqì. Ta shengqìle you yicì, zài ting liánlián dehuà de shíhòu, wo juédìng bù qù zhenglùn, zhishì baochí chénmò. Wo shíwu fenzhong zuoyòu jiù gen wo shuole yijù huà. Wo gandào jingyà de shì, dang zhège sùsòng jiéshù de shíhòu, liánxì rén shuo zhè shì wo tingguò ta de ji cì zhi yi.
Mar. 2020, Ph.D. Position available (Research Assistantship): I have always been looking for PhD students who are interested in signal processing and machine learning, especially matrix/tensor factorization models, deep unsupervised learning, and optimization algorithm design. Please send me your C.V. and transcripts (and papers if you have published your work) if you are interested in working with me starting Fall 2020. I would expect some details for why you're interested in my group.
Yourén huì wèn: Rúguo ni ba fùqin gao yú hunyin, ni wèishéme bù líhun ni de qizi, ránhòu qu lìng yigè nénggòu sheng háizi de nurén? Zài zhèli wo kenéng fànle cuòwù. Huíxiang qilái, zhè yi xíngdòng kenéng bi shíjì fasheng de gèng hao. Nà shíhòu, wo juédé wo qizi fàngqì ta shì bù kenéng de, yinwèi ta zài ye bù huì you háizile. Zhè bùshì ta de cuò. Bù, wo bù huì yinwèi zhège yuányin jùjué wo de qizi. Xiangfan, wo huì mìmì anpái yigè háizi yu lìng yigè nurén, ránhòu, zài hái zi chusheng hòu, wo huì ràng wo de qizi juédìng ta xiang zuò shénme. Rúguo ta juédìng líhun, wo huì yi qingjié liángxin jieshòu ta de juédìng.
(A) mRFP-GFP-LC3 fluorescence in control, C9-ALS, or sporadic ALS (sALS) iMNs treated with or without 50 nM bafilomycin and 10 nM inactive 3K3A-APC or 3K3A-APC. Scale bars: 5 μm. Solid and dotted lines outline the cell body and nucleus, respectively. Cell bodies were visualized with mRFP-GFP-LC3 fluorescence using a longer exposure and increased gain. (B and C) Number of RFP+GFP+ vesicles per iMN in control, C9-ALS (B), or sporadic ALS (C) iMNs treated with 10 nM inactive 3K3A-APC or 3K3A-APC and 50 nM bafilomycin for 24 hours. iMNs from 3 controls, 3 C9-ALS (B), and 5 sporadic ALS (C) patients were quantified. n = 12 iMNs per line per condition across 2 independent iMN conversions were quantified. Each gray circle represents a single iMN. Median ± interquartile range. Kruskal-Wallis testing. (D) qRT-PCR analysis of mRNA levels of ATG5 and ATG10 in C9-ALS iMNs treated with 10 nM inactive 3K3A-APC or 3K3A-APC for 3 days. n = 4 independent iMN conversions and treatments per condition. Each gray circle represents a single RNA sample. Mean ± SD. Two-tailed t test, unpaired. (E) Number of LAMP2+ vesicles in control or C9-ALS iMNs treated with 10 nM inactive 3K3A-APC or 3K3A-APC for 24 hours. iMNs from 2 controls and 2 C9-ALS patients were quantified. n = 21 iMNs per line per condition across 2 independent iMN conversions were quantified. Each gray circle represents a single iMN. Mean ± SEM. One-way ANOVA. (F) Number of LAMP2+ vesicles in control or sporadic ALS iMNs treated with 10 nM inactive 3K3A-APC or 3K3A-APC for 24 hours. Each gray circle represents a single iMN. iMNs from 2 controls and 6 sporadic ALS patients were quantified. n = 33 iMNs per line per condition across 2 independent iMN conversions were quantified. Median ± interquartile range. Kruskal-Wallis testing. The day of differentiation stated on each panel indicates the day of differentiation on which the experimental treatment or time course was initiated.
Sep 2018: Our first IEEE TKDE paper has been accepted! The paper ‘‘Efficient and Distributed Generalized Canonical Correlations Analysis for Big Multiview Data’’ comes from a collaborative work with CMU (Prof. Christos Faloutsos and Prof. Tom Mitchell). Now the team members are spread across the U.S. and the world (OSU,UFL,CMU,UVA,UCR,IIS). Congratualations to all! The full paper will be uploaded soon.
6 J.J. Kennedy, “Maintaining popular support for the Chinese Communist Party: the influence of education and the state-controlled media,” Political Studies, Vol. 57, No. 3 (2009), pp. 517–36; Chen, X. and Shi, T., “Media effects on political confidence and trust in the People's Republic of China in the post-Tiananmen period,” East Asia: An International Quarterly, Vol. 19, No. 3 (2001), pp. 84–118.
Zhu Youjian was son of the Taichang Emperor and younger brother of the Tianqi Emperor, whom he succeeded to the throne in 1627. He battled peasant rebellions and was not able to defend the northern frontier against the Manchu. When rebels reached the capital Beijing in 1644, he committed suicide, ending the Ming dynasty. The Manchu formed the succeeding Qing dynasty.
“Jiaoyu ziben yu guojia xitong: Nanda de zuihou wu nian” 教育资本与国家系统：南大的最后五年 (Education Capital and National System: The Last Five Years of Nanyang University), presented at Nantah History Workship on “Zuqun, jiaoyu, guojia: 1953 zhi 1980 nian de Nanyang Daxue” 族群、教育、国家：1953至1980年的南洋大学 (Ethnicity, Education, and Country: Nanyang University, 1953-1980), in Singapore organized by the Centre for Chinese Language & Culture, Nanyang Technological University, 5 August 2006.
Because autophagy induction can enhance TDP-43 turnover in motor neurons (26), we wondered whether 3K3A-APC treatment could prevent the cytoplasmic accumulation of TDP-43 in ALS iMNs. 3K3A-APC treatment for 6 days significantly increased the nuclear-to-cytoplasmic ratio of TDP-43 in C9ORF72 and sporadic ALS iMNs to control levels (Figure 3, G–J; 2 controls, 2 C9ORF72 ALS, and 6 sporadic ALS patients). Thus, 3K3A-APC treatment can rescue autophagosome formation, lower DPR levels in C9ORF72 ALS iMNs and rescue DPR-mediated neurotoxicity, and reverse the cytosolic accumulation of TDP-43 in C9ORF72 and sporadic ALS patient iMNs.
64 Moderately aware citizens tend to be most easily persuaded by news media messages, because poorly aware citizens do not receive media messages and the highly aware are more resistant to change their pre-held attitudes. McGuire, W. (ed.), Personality and Susceptibility to Social Influence (Chicago: Rand McNally, 1968), pp. 1130–87; Converse, P.E., “The nature of belief in mass publics,” in Apter, D. (ed.), Ideology and Discontent (New York: Free Press, 1964), pp. 206–61; Zaller, J., The Nature and Origins of Mass Opinion (New York: Cambridge University Press, 1992).
Dang zhèxie kuàijìshi fenlí fúhào de shùzì hé zhìliàng fangmiàn shí, yòu chuxiànle lìng yigè túpò. Shiyòngle liang gè bùtóng de fúhào, lìrú, liù gè púshì'er (rènhé dongxi) hé xiaomài (zuòwéi shangpin), zài nàli tamen yiqián bèi zuhé. Ránhòu keyi jiang liù púshì'er de fúhào yìngyòng yú lìng yi zhong shangpin (lìrú dàmài) hé xiaomài de fúhào zhì bùtóng de shùliàng (lìrú ba gè).
Zhèxie qiánghuà shèbèi you zhù yú jiànlì kouqiang wénhuà. Zhè zhong wénhuà duìyú yíshì xìng biaoxiàn de zhongshí dù you hen gao de yaoqiú. Bìxu jì zhù yiqiè de rén fà zhan chu baoshou de xintài, bù yuàn jieshòu xuyào bù xuéxí hé chóngxin xuéxí mou xie shìwù de biànhuà. Kàn qilái yigè zérèn, bìxu jì zhù suoyou zhèxie zhishì, ér bù qiúzhù yú xiezuò. Lìng yi fangmiàn, zhishì biàn de gèngjia gèrén huà, bìngqie zài jìyì zhong baoliú ér bùshì zài zhi shàng biaodá shí geng mìqiè. Zài yuánshi wénhuà yi zongjiào wéi zhongxin de chéngdù shàng, mei zhong yíshì huò jìyì xíngwéi dou chéngwéi yi zhong jiang rén yu zuxian de líng hé shén liánxì qilái de daogào. Zài zhèyàng de wénhuà zhong youyigè shèqu jingshén, shìzì shèhuì quefá. Zhè zhong lèixíng de jìyì zài jingshén shàng bi yóu shují zuchéng de wénhuà lèixíng gèng qiángdà hé gèng fengfù, suirán ta ye kenéng shì yi zhong xiàol? jiào di de baocún zhishì de fangshì.
(a) Visualization of the 3,000 sgRNA lentiviral library expressing mCherry in infected primary mouse neurons (grey = phase contrast, red = mCherry; live cells). (b, c) Validation of target protein reduction in Cas9+ primary neurons using sgRNAs targeting Xpo5 and Tmx2. Reduced abundance of target protein in primary neurons as measured by western blot was observed after more than 10 days of sgRNA expression (sgRNA transduction performed at DIV1). (d) Forest plots of all genes considered hits from each neuron screen with a non-zero effect estimate (95% C.I.) with estimated effect in center and error bars representing 95% credible interval of the effect estimate. Effect estimate is colored in blue if the gene was protective when knocked out and colored in red if it was sensitizing when knocked out.
Wénlín Hànyǔ xuéxí ruǎnjiàn (Wénlín Wánzhěngbǎn) hé zìdiǎn kuòzhǎn chéngxù de kāifāzhě, Wénlín Yánjiūsuǒ Shèhuì Mùdì Gōngsī (SPC) wèi Hànyǔ xuéxí, yánjiū hé kāifā, tígōng ruǎnjiàn jiějué fāng'àn. Wénlín de shǐmìng shì bāngzhù rénmen xuéxí Hànyǔ hé Yīngyǔ, cùjìn bùtóng wénhuà jiān de jiàoyù, lǐjiě, gòngchǔ hé hézuò; fāzhǎn yǔyán hé jiàoyù kēxué, jìshù hé jìqiǎo. Yù liǎojiě gèngduō Wénlín Yánjiūsuǒ Shèhuì Mùdì Gōngsī de xiángqíng, qǐng diǎnjī wenlin.com.
The historical course of China’s media reform is coincidental with the intrinsic logic of the transformation in national political ideology from contradiction theory to economy-centric theory (Li and Hu, 2013). However, this situation does not mean that political determinism would suffice to explain the China’s media reform. The transformation towards media groups did not result in mere innovation in the size, structure and managerial ideal of the media industries but also the ‘self-consciousness’ of actively promoting economic gains and the tendency to transform capitalism, ownership and other concepts into the reasonable kernel of media reform (Li and Hu, 2013). These have transcended far beyond the scope of what ‘political correctness’ can explain.
Dang wo jìnrù wo de wòshì shí, wo zhùyì dào de dì yi jiàn shì shì wo de yàoshi diushile. (Wo zhi ba qiánmén yàoshi dài dào zhongguó.) Wo de zhipiào dengjì zài wòshì li, dàn wo faxiàn yijing nále shí zhang zhipiào. Shurù meiguó yínháng diànhuà xìtong zhong de hàoma, wo liaojie dào zonggòng chaoguò 2000 meiyuán de zhipiào yijing xie zài zhèxie kòngbái chù. Ránhòu wo jianchále wo de diànzi yóujiàn láizì xila de xiaoxi shì 2010 nián 11 yuè 30 rì.
Wo xiànzài kaishi duì xila shijia yalì, yi quèrèn huáiyùn. Ta ba zhè zuòwéi lìng yicì rén shen gongjí, ta wèi ci zuò liao rúci jùdà de xisheng. Bùguò, ta zuìzhong anpái shou dào zhensuo dí quèrèn xìn. Sheila hé wo kaiche qùle Cottage Grove de Allina yiliáo zhensuo. Zài wo tíngche de shíhòu, xila zou jìnle dàlóu, hen kuài jiù zài xìnfeng limiàn xiele yi feng xìn. 2011 Nián 5 yuè 19 rì de xìn biaoshì:“Sheila xxxxx zài women bàngongshì you 2010 nián 5 yuè de zhèngmiàn huáiyùn cèshì. Huáiyùn yi yú 2010 nián 12 yuè zhongzhi.“Zhè shì yóu ANP de MSN de Linda Auleciems qianmíng de.
Prompts from new media centre editors that ‘users responded intensely’ are often believed as too trivial to be ‘worth writing about’, hence are ultimately ignored by journalists. Editors blame the journalists’ reaction on lack of awareness, that is, journalists lack knowledge of new media, underestimate the intensity of competition between the press industry and commercial new media and overlook user demands. In fact, journalists expressed their concern regarding increasingly intense market competition in both the survey and in-depth interviews. They sensed that when various types of newspapers obtain news clues from new media and as reportage becomes increasingly homogenised, newspapers are confronted with increasingly intense competition.
June 2019: We have submitted a paper titled ‘‘Link Prediction Under Imperfect Detection: Collaborative Filtering for Ecological Networks’’ to IEEE Transactions on Knowledge and Data Engineering. In this work, we proposed a statistical generative model for ecological network link prediction. The challenge for this type of networks is that all the observed entries suffer from systematic under estimation–which is very different from online recommender systems. This is a collaborative research with Eugene Seo, Justin Clarke, and Rebecca–all from EECS at Oregon State.
In light of the advanced international conception for e-learning translation instruction and the development of professional translation education in China, it is proposed that an e-learning platform conceived with knowledge systems be constructed. The new platform aims at utilizing advantages and characteristics of the online instruction, and at the same time categorizing instructive resources leading to knowledge service systems. This advantageous e-learning environment is featured with a collection of electronic resources of translation technology, instructive resources and interactive communication forums.
As an alternative to the 7F iMN differentiation procedure used in Fig. 7 and S8, iMNs were differentiated from C9-ALS and control iPSC lines using a Dox-NIL system. (a, b) Survival of Dox-NIL iMNs with or without TMX2 reduction by shRNA transduction. Results from two control (a) or two C9-ALS (b) lines were averaged to create the survival curves shown. (c, d) The same iMN data depicted in (b) but separated by individual C9-ALS cell line to show the variability in responses. (e) Representative images of GFP+ (shRNA expressing) C9-ALS iMNs taken during the survival experiments. (f) RNA was harvested from iMN survival experiments at the endpoint and TMX2 mRNA levels were measured by qRT-PCR (normalized to GAPDH levels). For information on the patient lines used and numbers of iMNs analyzed for survival analysis, see Supplementary Table 4.