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Institutional Review Board (IRB) - Office of the Vice President for ...

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

IRB Training Electronic submission via the ERA system is required for all IRB submissions. This includes new applications for human subjects protocols, continuing reviews, Reportable New Information submissions, requests for amendments to approved human subjects research, initial (only) WIRB reviews, and study closures.

Introduction to Probability, Statistics and Random Processes

https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch1-1.pdf

To stress the point of switching, consider a generalization of the problem: suppose there are 10 000 doors, behind one is a car and behind the rest, goats. After you make your choice, the host will open 9998 doors with goats, and offers you the option to switch. To change or not to change, that’s the question!

Introduction to Probability, Statistics and Random Processes

https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch2-extra.pdf

Probability summation rule: The probability that one of two mutually exclusive events (it does not matter which of them) occurs is equal to the sum o f the probabilities of these events.

Common Data Elements:

https://ira.temple.edu/sites/ira/files/Temple%20University%20CDS-2024-2025-v2.pdf

The Common Data Set (CDS) initiative is a collaborative effort among data providers in the higher education community and publishers as represented by the College Board, Peterson’s, and U.S. News & World Report. The combined goal of this collaboration is to improve the quality and accuracy of information provided to all involved in a student’s transition into higher education, as well as ...

Introduction to Probability, Statistics and Random Processes

https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch1-3.pdf

Example: A chemical reactor: residence times In a continuously stirred reactor vessel where a chemical reaction takes place, on one side fluid or gas flows in, mixes with whatever is already present in the vessel, and eventually flows out on the other side. The so-called residence time distribution tells us how long particles stay inside the vessel before moving on. We consider a continuously ...

Qualitative Data Analysis and QDA Tools - Temple University

https://guides.temple.edu/qda/qualcoder

QualCoder is free, open source software for qualitative data analysis. It has many of the features of commercial QDA software packages such as auto-coding, coding images and A/V materials, SQL database querying, and many reporting and visualization options.

Anita Singh | College of Engineering | Temple University College of ...

https://engineering.temple.edu/directory/anita-singh-tur44252

Biography Anita Singh, Ph.D. is an Associate Professor at the Bioengineering Department at Temple University, Philadelphia, PA. She earned her Ph.D. from Wayne State University, Detroit, in Biomedical Engineering. She then completed her postdoctoral fellowship at the Lankenau Hospital, Philadelphia, and worked as a Research Associate and the co-Director of Behavior and Biomechanics Core at ...

Introduction to Probability, Statistics and Random Processes

https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch2.pdf

We choose r objects in succession from a population (set) of n distinct objects fa1; a1; ; ang, in such a way that after choosing each object and recording the choice, we return the object to the set before making the next choice.

Conditional Probability - Temple University

https://cis.temple.edu/~latecki/Courses/CIS2033-Spring12/ElementaryProbabilityforApplications/ch3.pdf

5/36 5 The same result holds if B = “The first die is k” and 2 ≤ k ≤ 6. Carrying this reasoning further, we see that given the outcome lies in A, all five possibilities have the same probability. This should not be surprising. The original probabil-ity is uniform over the 36 possibilities, so when we condition on the occurrence of A, its five outcomes are equally likely.

CIS587: The RETE Algorithm - Temple University

https://cis.temple.edu/~ingargio/cis587/readings/rete.html

The Rete Algorithm The Rete algorithm uses a rooted acyclic directed graph, the Rete, where the nodes, with the exception of the root, represent patterns, and paths from the root to the leaves represent left-hand sides of rules. At each node is stored information about the facts satisfied by the patterns of the nodes in the paths from the root up to and including this node. This information is ...