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Sequential LASER ART and CRISPR Treatments Eliminate HIV-1 in a Subset ...

https://scholarshare.temple.edu/server/api/core/bitstreams/5f8a9579-d279-412d-88f3-744d54fdbdad/content

E1,humanizedmiceinfectedwithHIV-1(controls); E2,HIV-1infectedanimals treatedonlywithCRISPR-Cas9; E3,HIV-1infectedLASERARTtreatedanimalsdemonstratingviralreboundaftercessationoftherapy; E4,infectedanimals treatedwithLASERARTfollowedbyCRISPR-Cas9.

Temple Traditions | Temple University | Temple University

https://www.temple.edu/about/history/temple-traditions

Temple’s more than 130-year history is rich with tradition. From the Owl mascot, to the Temple “T,” to the fight song, Temple pride shines. The Temple "T" Across Temple's campuses and throughout Philadelphia, the Temple “T” is the iconic symbol of the university. Designed by students in a graphic arts and design class in the Tyler School of Art in 1983, the “T” represents ...

phylotree.js - a JavaScript library for application development and ...

https://scholarshare.temple.edu/bitstreams/b1ecc345-7a7c-4776-a366-9b5585e714d6/download

London: J. Murray; 1859. Vaughan TG. IcyTree: rapid browser-based visualization for phylogenetic trees and networks. Bioinformatics. 2017;33:btx155. Kreft Ł, Botzki A, Coppens F, Vandepoele K, Van Bel M. PhyD3: a phylogenetic tree viewer with extended phyloXML support for functional genomics data visualization. Bioinformatics. 2017;33(18):2946 ...

FedCPD: Personalized Federated Learning with Prototype-Enhanced ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%206190%20Camera%20Ready%20Version.pdf

For notation, tindicates the communication round and e2 1=2;1;2;:::;Erefers to the local iterations, where Eis the total number of local updates. Thus, tE+ erepresents the e-th local iteration in the (t+ 1)-th round.

MS in Health Informatics | College of Public Health | College of Public ...

https://cph.temple.edu/marketing/lp/MSHI

Designed for All Backgrounds – Ideal for professionals with or without prior health informatics experience. Exclusive Industry Access – Full-time students receive free Healthcare Information and Management Systems Society (HIMSS) membership.

FedCPD: Personalized Federated Learning with Prototype-Enhanced ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/FedCPD.pdf

0 2 2 2 L1 + E 0G2 + E2 0G2 2 + 2 L2E2 0G2 2 + 2 Theorem 2. (Non-convex FedCPD convergence). 0 < e < 0, e 2 f1 1; 2; : : : ; Eg, where represents the de- 2; cay factor for the learning rate. If the learning rate for each epoch satisfies the following condition, the loss function de-creases monotonically, leading to convergence:

Bariatric Surgery | Graduate Medical Education | Lewis Katz School of ...

https://medicine.temple.edu/departments-centers/clinical-departments/surgery/departmental-research/faculty-research/bariatric-surgery

J Vase Surg Venous Lymphat Disord. 2021 May;9 (3):585-591.e2. doi: 10.1 0l 6/j.jvsv.2020.09.006 Acevedo, E., Jr, Mazzei, M., Zhao, H., Lu, X., Soans, R., & Edwards, M. A. (2020). Outcomes in conventional laparoscopic versus robotic-assisted primary bariatric surgery: a retrospective, case-controlled study of the MBSAQIP database.

F2 : A Physical Internet Architecture for Fresh Food Distribution Networks

https://cis.temple.edu/~apal/ipic_food.pdf

t‘ ij 8‘2f2;:::;Tg;8t X t Lt‘:Vt C 8‘2f2;:::;Tg (8) where Vtis the volume of the container type t. Constraint(8) simply assumes that multiple containers of different sizes always fit within a truck as far as their cumulative volume is less than the truck’s capacity. This is an over-estimation of the packing ability of the containers.

Online Federated Learning on Distributed Unknown Data Using UAVs

https://cis.temple.edu/~jiewu/research/publications/Publication_files/ICDE2024_Online_Federated_Learning_on_Distributed_Unknown_Data_Using_UAVs.pdf

For the energy consumption during the learning phase, we set e1 = 0.01J and e2 = 80J [18]. To better align with real-world data collection scenarios, we design fine-grained PoI data models from three perspectives: data distribution, data generation patterns, and data quality.