https://guides.temple.edu/c.php?g=1046977&p=7597201
This guide lists and links to free and low-cost resources for legal research. Use these when Bloomberg, Lexis, and Westlaw aren't available or when you'd like to reduce the costs of those services by doing some preliminary searching.
https://hope.temple.edu/sites/hope/files/media/document/Digital%20Mental%20Health%20Interventions_5.29.2024.pdf
This guide is intended to help higher education leaders make informed decisions about selecting DMHIs. DMHIs refer to the use of digital technologies for mental health support, prevention, and treatment. DMHIs provide behavioral and psychological strategies through technological features, including websites, mobile applications (“apps”), wearables, virtual reality, and online platforms.
https://ibit.temple.edu/wp-content/uploads/2014/04/IBITSportsanalytics.pdf
Foreword Sports enthusiasts are likely familiar with the growing importance of analytics in sports franchise operations. Sports teams use analytics in a wide range of activities, including game management, player development, marketing, and finance. As a result, sports are becoming a proving ground for tomorrow’s business analytics technologies. This IBIT Report provides a history and the ...
https://law.temple.edu/aer/2025/03/31/pay-no-attention-to-the-man-behind-the-curtain-or-the-really-bad-proof-you-just-heard/
The presupposition that jurors can indeed pay no attention to the man behind the curtain has at times been recognized by jurists as questionable, with the most notable instance being Justice Jackson in 1949: “The naïve assumption that prejudicial effects can be overcome by instructions to the jury, . . . all practicing lawyers know to be unmitigated fiction.” Krulewitch v. United States ...
https://www.cis.temple.edu/~jfiore/2016/fall/2107/handouts/Tools/GDB/GDBQuickRef.pdf
GDB’s info command can be very helpful when examining the local stack frame (In case you don’t know about it yet, it’s an area of memory local to your current function. We’ll discuss this stuff in depth this semester).
https://law.temple.edu/aer/2020/11/18/innocent-or-cant-br-sure-what-happened-scott-turow-and-the-closing-argument/
Which is more effective - the "actual innocence" or "reasonable doubt" story? Scott Turow's latest work raises that question.
https://cis.temple.edu/~latecki/Courses/CIS2166-Spring18/Lectures/MatrixAlg1.pdf
A matrix is a rectangular array of numbers or other mathematical objects, for which operations such as addition and multiplication are defined. Most of this article focuses on real matrices, i.e., matrices whose elements are real numbers. For instance, this is a real matrix: The numbers, symbols or expressions in the matrix are called its entries or its elements. The horizontal and vertical ...
https://cis.temple.edu/~latecki/Courses/CIS2033-Spring14/PPT/NaiveBayes.ppt
* Probability Basics Prior, conditional and joint probability Prior probability: Conditional probability: Joint probability: Relationship: Independence: Bayesian Rule * Probabilistic Classification Establishing a probabilistic model for classification Discriminative model Generative model MAP classification rule MAP: Maximum A Posterior Assign x to c* if Generative classification with the MAP ...
https://cis-linux1.temple.edu/~latecki/Courses/CIS617-04/slides/Ch3DataLink.ppt
G(x) must have the first and last bit equal to 1. For a given frame, we consider its polynomial M(x) (longer than G(x)). The checksum is the reminder from the division M(x)*xr / G(x), where r is the degree of G(x). Polynomial T(x) obtained as M(x)*xr - checksum represents the check-summed frame that is divisible by G(x).
https://www.fox.temple.edu/directory/misty-p-blessley-tuc19077
Fox School of Business and Management Statistics, Operations, and Data Science Associate Professor of Instruction