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Montreal Cognitive Assessment - Sites

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 ...

Disprot - Database of Protein Disorder

https://dabi.temple.edu/external/disprot/resource.php

Summary Towards the objective of understanding commonness, flavors, complexity and function of protein disorder, we assembled a database of known disordered protein sequence segments and used it for developing predictors of protein disorder from primary sequence information. The preliminary results were obtained by analyzing sequences from the Protein Data Bank (PDB). Swiss Protein (SwissProt ...

TRIAL ADVOCACY BASICS – 3RD EDITION (NITA) - Advocacy and Evidence ...

https://law.temple.edu/aer/publication/trial-advocacy-basics-3rd-edition-nita/

March 16, 2022 In December 2016, when reviewing the second edition of BASIC TRIAL ADVOCACY, I wrote the following: NITA – the National Institute for Trial Advocacy – deserves great credit for providing [advocacy lessons] in a concise, reader-friendly form in TRIAL ADVOCACY BASICS (NITA, 2016) by Molly Townes O’Brien and Gary S. Gildin. BASICS is an effective resource, whether the reader ...

Publications of Xifan Wu – Research group of Xifan Wu - Sites

https://sites.temple.edu/xifanwu/publications-of-xifan-wu/

Fujie Tang, Xifan Wu, “Theoretical X-ray Absorption Spectroscopy of Liquid Water Using First-Principles Calculations”, Chapter One in Book of Properties of Water from Numerical and Experimental Perspectives CRC Press, 19 October (2022).

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf

Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...