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Emily K. Snell | Research Scientist, Temple University College of Education

https://sites.temple.edu/emilyksnell/

I am a researcher interested in school and family factors that support children’s language and literacy development. After receiving a PhD in Human Development and Social Policy from Northwestern University, I spent several years doing policy evaluation at MDRC, focusing on early childhood education and home visiting. At Temple, I work with Barbara Wasik in the College of Education. My ...

Intrinsic Disorder and Protein Function A. Keith Dunker, J. David ...

https://dabi.temple.edu/external/zoran/papers/Dunker_TPT.pdf

For ordered protein, the ensemble members all have the same time-averaged canonical set of Ramachandran angles along their backbones. For intrinsically disordered protein, the ensemble members have different (and typically dynamic) Ramachandran angles. Such disorder has been characterized by a variety of methods including x-ray crystallography, NMR spectroscopy, CD spectroscopy, and protease ...

Hopfield Networks is All You Need - Temple University

https://cis.temple.edu/tagit/presentations/Hopfield%20Networks%20is%20all%20you%20need.pdf

M. Widrich, B. Schäfl, M. Pavlovi ́c, H. Ramsauer, L. Gruber, M. Holzleitner, J. Brandstetter, G. K. Sandve, V. Greiff, S. Hochreiter, and G. Klambauer. Modern Hopfield networks and attention for immune repertoire classification. ArXiv, 2007.13505, 2020a. Image Classification (small data) An image classification problem.

Enabling Processes - Temple University

https://community.mis.temple.edu/mis5203sec951spring2022/files/2019/01/COBIT5-Ver2-enabling.pdf

Disclaimer ISACA has designed this publication, COBIT® 5: Enabling Processes (the ‘Work’), primarily as an educational resource for governance of enterprise IT (GEIT), assurance, risk and security professionals. ISACA makes no claim that use of any of the Work will assure a successful outcome. The Work should not be considered inclusive of all proper information, procedures and tests or ...

2 Outcomes, events, and probability - Temple University

https://cis.temple.edu/~latecki/Courses/Math3033-Fall09/DekkingBook07/DekkingBook_c2.pdf

Outcomes, events, and probability The world around us is full of phenomena we perceive as random or unpre-dictable. We aim to model these phenomena as outcomes of some experiment, where you should think of experiment in a very general sense. The outcomes are elements of a sample space Ω, and subsets of Ω are called events.The events will be assigned a probability, a number between 0 and 1 ...

Chapter 1: roadmap - Temple University

https://cis.temple.edu/~tug29203/24spring-4319/lectures/ch1b-1.pdf

free (available) buffers: arriving packets dropped (loss) if no free buffers

Cognitive Bias and Its Impact on Expert Witnesses and the Court

https://law.temple.edu/wp-content/uploads/Cognitive-Bias-and-Its-Impact-on-Expert-Witnesses-and-the-Court.pdf

Expert evidence provides a much needed contribution to the courts in administering justice. Understanding the way humans think and how the brain processes information offers insights to circumstances in which even expert evidence may be influenced by contextual information and cognitive bias. Cognitive science can identify such potential weaknesses and suggest practical ways to mitigate them.

Why we need to rethink the term “student-athlete”

https://hope.temple.edu/newsroom/hope-blog/why-we-need-rethink-term-student-athlete

The ban on race-conscious admissions practices is atrocious in many ways. One grotesque result? It hampers mobility for Black men to access an affordable postsecondary education. However, there’s a loophole that has been manipulated by the system for ages: college athletics. In a tale as old as America, institutions routinely economically exploit the physical labor primarily performed by ...

Learning preferences are not learning styles… and why the language we ...

https://sites.temple.edu/edvice/2021/11/24/learning-preferences-are-not-learning-styles-and-why-the-language-we-use-matters/

Claudia J. Stanny, Ph.D. Let’s begin with debunking a persistent misconception about learning: Learning styles do not exist. Moreover, matching instruction strategies to a particular learning style, such as using visuals to teach a “visual learner,” does not improve learning for that particular student (Pashler, McDaniel, Roher, & Bjork, 2009). Worse, using the wrong sensory modality for ...

Building Classification Models: ID3 and C4.5 - Temple University

https://cis.temple.edu/~giorgio/cis587/readings/id3-c45.html

Introduction ID3 and C4.5 are algorithms introduced by Quinlan for inducing Classification Models, also called Decision Trees, from data.