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Digital Mental Health Interventions at Colleges & Universities

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.

Unit #3b - Temple University

https://community.mis.temple.edu/mis5214sec005spring2021/files/2020/03/MIS5214_Unit8_CaseStudy2_Maersk.pdf

Timeline 2016 – Maersk shipping company’s senior system administrators warn company that its network of 80,000+ computers was vulnerable to attack

Stronger predation intensity and impact on prey communities in the tropics

https://sites.temple.edu/bjsewall/files/2021/08/Freestone-et-al-2021-Ecology-Stronger-predation-intensity-impact-on-prey-communities-in-the-tropics.pdf

evolutionary time across the globe (Menge and Lub-chenco 1981, Albouy et al. 2019, Silvestro et al. 2020). Although evidence continues to accrue in support of the prediction that predation intensity is stronger at lower latitudes (e.g., Schemske et al. 2009, Roslin et al. 2017, Reynolds et al. 2018), debate on its generality persists (Roesti et al. 2020). Further, variation in predation ...

Modern Systems Analysis and Design Ch1 - Temple University

https://community.mis.temple.edu/mis5203sec001spring2021/files/2021/02/5203_04_Requirements.pdf

Explain the advantages and pitfalls of observing workers and analyzing business documents to determine system requirements. Explain how computing can provide support for requirements determination.

RepObE: Representation Learning-Enhanced Obfuscation Encryption Modular ...

https://cis.temple.edu/~jiewu/research/publications/Publication_files/Paper%207432%20Camera%20Ready%20Version.pdf

Abstract Model inversion and adversarial attacks in se-mantic communication pose risks, such as con-tent leaks, alterations, and prediction inaccuracies, which threaten security and reliability. This pa-per introduces, from an attacker’s viewpoint, a novel framework called RepObE (Representation Learning-Enhanced Obfuscation Encryption Mod-ular Semantic Task Framework) to secure semantic ...

How the gender identity revolution impacts society

https://liberalarts.temple.edu/news/2021/08/how-gender-identity-revolution-impacts-society

In Heath Fogg Davis’ most recent book, Beyond Trans: Does Gender Matter?, he provides guidance for organizations to become more inclusive by teaching them to question and remove gender and identity barriers. A professor of political science, Davis uses he/him or they/them pronouns, and has expertise in antidiscrimination law, transgender civil rights, political theory, and race, gender, and ...

Advance Organizers: Setting the Stage for Learning and Retention

https://sites.temple.edu/edvice/2022/04/06/advance-organizers-setting-the-stage-for-learning-and-retention/

Dana Dawson The Advance Organizer is a tool you can use to focus student attention during lectures, improve retention of course content and connect new information with prior knowledge. Advanced Organizers can take a variety of forms from brief expository overviews to help students make meaning of course content to graphic representations that provide a framework for information. Overview As ...

Yiwen Gao - Temple University

https://community.mis.temple.edu/yiwen/files/2022/02/CV_Yiwen.pdf

MIS2502 Data and Analytics 2021 Fall (instructor) MIS2502 Data and Analytics 2021 Spring (teaching assistant) MIS2502 Data and Analytics 2020 Fall (teaching assistant)

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

https://sites.temple.edu/trail/files/2021/11/XieXinDamesIROS2021.pdf

Zhanteng Xie, Pujie Xin, and Philip Dames Abstract—This paper proposes a novel neural network-based control policy to enable a mobile robot to navigate safety through environments filled with both static obstacles, such as tables and chairs, and dense crowds of pedestrians. The network architecture uses early fusion to combine a short history of lidar data with kinematic data about nearby ...

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

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

DKKR [Chen et al., 2021] uses multilevel feature distillation to guide the student layer by layer. Our method introduces feature distillation into federated learn- ing, combined with attention mechanisms and feature fusion, to facilitate efficient knowledge transfer between teacher and student models.