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ALIBABA’S VIE STRUCTURE AND EROSION OF BEPS GOALS IN CHINA ... - Sites

https://sites.temple.edu/ticlj/files/2019/05/33.1_Larson_Article7.pdf

170. See Brauner, supra note 162, at 91 (explaining the dangers of holding intangibles in a market-less vacuum, where risk sharing, leverage, and valuation reliability do not exist). 171.

IRB Forms & SOPs - Office of the Vice President for Research

https://research.temple.edu/compliance/human-research-protection-program/institutional-review-board-irb/irb-forms-sops

HRP-135 SOP - Designated Exempt Review Conduct HRP-140 SOP - IRB Records Retention HRP-141 SOP - Annual Tasks HRP-142 SOP - Monthly and Quarterly Tasks (1-18-24) HRP-143 SOP - Daily Tasks HRP-144 SOP - Meeting Scheduling HRP-145 SOP - Post-Approval Monitoring (1-18-24) HRP-170 SOP- External IRB Screening HRP-180 SOP- Emergency and Compassionate ...

IRS and Treasury Issue Final Syndicated Conservation Easement ...

https://www2.law.temple.edu/10q/irs-and-treasury-issue-final-syndicated-conservation-easement-regulations/

We should expect to see continued valuation disputes and controversies for any SCE-type transactions that are either pre-date or are not otherwise disallowed by section 170 (h) (7).

Hongling Xie | College of Liberal Arts | Temple University College of ...

https://liberalarts.temple.edu/directory/hongling-xie

Social Development, 21 (1), 170-194. doi:10.1111/j.1467-9507.2011.00621.x Xie, H., Drabick, D. A. G., & Chen, D. (2011). Developmental trajectories of aggression from late childhood through adolescence: Similarities and differences across gender. Aggressive Behavior, 37 (5), 387-404. doi:10.1002/ab.20404 Xie, H. & Shi, B. (2009).

Sanat K. Sarkar - Fox School of Business

https://www.fox.temple.edu/directory/sanat-k-sarkar-sanat

Journal of the American Statistical Association, 120 (549), 170-171. Informa UK Limited. doi: 10.1080/01621459.2024.2414865. Nandi, S. & Sarkar, S.K. (2024). Further results on controlling the false discovery rate under some complex grouping structure of hypotheses. Journal of Statistical Planning and Inference, 229, 106094-106094.

Nonlinear Effects of Social Connections and Interactions on Individual ...

https://www.fox.temple.edu/sites/fox/files/Nonlinear-Role-of-Social-Interactions-for-Individual-Goal-Pursuit-and-Spendin.pdf

Nonlinear Effects of Social Connections and Interactions on Individual Goal Attainment and Spending: Evidences from Online Gaming Markets Although it seems intuitive for firms to leverage social connections and interactions to inuence consumers’ fl goal attainment and spending, the authors present a caveat of such strategies. Using two large-scale data sets with more than 5 million people ...

The Impact of Insider Trading Regulations on Stock Market ... - Sites

https://sites.temple.edu/ticlj/files/2017/02/23.2.Hughes-TICLJ.pdf

170. What’s Stock Market Volatility, http://www.commonwealth.com/RepSiteContent/stock_ volatility.htm (last visited Mar. 1, 2009) (“When the stock market goes up one day, and then goes down for the next five, then up again, and then down again, that’s what you call stock market volatility.”).

Subodha Kumar - Fox School of Business

https://www.fox.temple.edu/directory/subodha-kumar-tuh48280

Production and Operations Management, 30 (1), 145-170. doi: 10.1111/poms.13189. Huang, Y., Zhu, Y., Kumar, S., Shetty, B., & Sriskandarajah, C. (2020). A Framework for Analyzing the U.S. Coin Supply Chain. Production and Operations Management, 29 (12), 2736-2759. SAGE Publications. doi: 10.1111/poms.13168.

Microsoft Word - Bidder Qualification Form5-2.docx

https://finance.temple.edu/sites/finance/files/documents/Construction%20Bidder_Qualification_Form5-2F-103.pdf

Return form by mail to: Temple University Purchasing Services Department 1009 W. Montgomery Avenue Suite 170 Facilities Management Building Philadelphia, PA 19122 Return form electronically to: *Temple University Purchasing Department purchase@temple.edu *Unless otherwise directed by a Temple University buyer.

ABSTRACT - Temple University

https://cis.temple.edu/~yu/research/thesis00.pdf

训练人个数为170时,选择类别后的识别率由原有SI 系统的74.2% 提高到76.4%, 平均误识率相对降低了8.5%。 所有这些算法在原理上是相近的。 这些算法的优点是只需极少量的训练语音就可以判断目标说话人的类别,因此使用非常快捷方便。