https://engineering.temple.edu/directory/anita-singh-tur44252
J Brachial Plex Peripher Nerve Inj, 17 (1), e1-e9. United States. 10.1055/s-0042-1743132 Majmudar, T., Balasubramanian, S., Magee, R., Gonik, B., & Singh, A. (2021). In-vitro stress relaxation response of neonatal peripheral nerves. J Biomech, 128, 110702. United States. 10.1016/j.jbiomech.2021.110702
https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch1-1.pdf
As a result of extensive observation of dice games, the French gambler de Mere noticed that the total number of spots showing on three dice thrown simultaneously turns out to be 11 (the event A1,) more often than it turns out to be 12 (the event A2), although from his point of view both events should occur equally often: A1 occurs in just six ...
https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch2-extra.pdf
Wrong, why? Hint: Suppose Sam hits the bear on one shot for sure (with the probability of 1), and George only with the probability of 0.5. Split in proportion 2:1? Solution (Hint): A1 — Sam hit and George missed, A2 — George hit and Sam missed. P(A1) = 0.8 × 0.6 · · ·
https://cis.temple.edu/~latecki/Courses/CIS2033-Spring13/Modern_intro_probability_statistics_Dekking05.pdf
Check that P is a probability function on the sample space Ω = a1, . . . { a1, . . . , a6} of the combined experiment. What is the relationship { the first experiment and the second experiment that is determined probability function?
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.
https://cis-linux1.temple.edu/~tug29203/25fall-2033/lectures/ch1-3.pdf
Chain Rule for Conditional Probability The chain rule is given as P(A ∩ B) = P(A)P(B|A) = P(B)P(A|B) Useful in situations when we know the conditional probability, but we are interested in the probability of the intersection. A generalization: P(A1 ∩ A2 ∩ A3 ∩ . . . ∩ An) = P(A1)P(A2|A1)P(A3|A2, A1) . . . P(An|An−1, An−2, . . . , A1)
https://www.temple.edu/directory/c-anthony-di-benedetto-tonyd
How to balance like an academic. Industrial Marketing Management, 88, A1-A5. doi: 10.1016/j.indmarman.2020.03.002. Bao, Y., Wei, Z., & Di Benedetto, C.A. (2020). Identifying the tacit entrepreneurial opportunity of latent customer needs in an emerging economy: The effects of experiential market learning versus vicarious market learning.
https://sites.temple.edu/mstover/
arxiv Parametrizing Shimura subvarieties of A1 Shimura varieties and related geometric problems w/ Ben Linowitz Arch. Math. (Basel) 107 (2016), no. 3, 213-226 arxiv Multiple realizations of varieties as ball quotient compactifications w/ Luca F. Di Cerbo Michigan Math. J. 65 (2016), no. 2, 441-447 arxiv Presentations for quaternionic S-unit groups
https://cis.temple.edu/~giorgio/cis587/readings/rete.html
NODE | PATTERN |MEMORY ===================================================== a1 | (item ?x) | f2 f3 f4 f5 f6 f7 f8 a2 | (item ?y) | f2 f3 f4 f5 f6 f7 f8 a3 | (item ?z) | f2 f3 f4 f5 f6 f7 f8 a4 | (item ?w) | f2 f3 f4 f5 f6 f7 f8 a5 | (find-match ?x ?y ?Z ?W)| f1 b1 | a1 & a2 | [f2 f2] [f2 f3] .. [f8 f8] b2 | b1 & a3 | [f2 f2 f2] ... [f8 f8 f8 ...
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Committee Meetings IRB Committee Meeting Schedules (A1 and A2 Committees) can be found here.