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https://cis.temple.edu/~tug29203/18spring-3329/reading/Lab_7_Solutions.pdf
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https://www.fox.temple.edu/directory/connie-xiangdong-mao-cmao
Biography Dr. Connie X. Mao is a Professor of Finance and Seymour Wolfbein Senior Research Fellow at Temple University Fox School of Business. She holds a PhD in Finance from The Johnson School of Management at Cornell University (Ithaca, NY), and a PhD in Biomedical Science from Cornell University Medical School (New York, NY). Her research expertise is corporate finance. Her primary research ...
https://sites.temple.edu/rtassessment/files/2018/10/MoCA-Instructions-English_7.2.pdf
Administration and Scoring Instructions The Montreal Cognitive Assessment (MoCA) was designed as a rapid screening instrument for mild cognitive dysfunction. It assesses different cognitive domains: attention and concentration, executive functions, memory, language, visuoconstructional skills, conceptual thinking, calculations, and orientation. Time to administer the MoCA is approximately 10 ...
https://research.temple.edu/sites/research/files/media/document/New_Investigator_IRB_Information_Packet_Just_the_Basics_Feb2025.pdf
We respond to emails and calls within 1-2 business days. For videos on how to navigate ERA for various submissions go to IRB Training and Resources > Access IRB Submission Tutorials via AccessNet
https://www.fox.temple.edu/directory/marco-shaojun-qin-tuk40739
Biography Dr. Marco Shaojun Qin is an Assistant Professor in the Department of Marketing. His research interests include quantitative marketing, applied industrial organization, and the intersection of technology and business strategy. His recent work focuses on the application of artificial intelligence in business decision-making and the influence of socio-political dynamics on brand ...
https://cis.temple.edu/~jiewu/research/publications/Publication_files/Distributed_Deep_Multi-Agent_Reinforcement_Learning_for_Cooperative_Edge_Caching_in_Internet-of-Vehicles.pdf
Abstract—Edge caching is a promising approach to reduce duplicate content transmission in Internet-of-Vehicles (IoVs). Sev-eral Reinforcement Learning (RL) based edge caching methods have been proposed to improve the resource utilization and reduce the backhaul trafic load. However, they only obtain the local sub-optimal solution, as they neglect the influence from environments by other ...