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Our team – Control and Adaptive Behavior Laboratory - Sites

https://sites.temple.edu/cablab/our-team/

She is working on a study that looks at how factors in one’s control and out of one’s control contribute to social media susceptibility. Outside of psychology, she has many hobbies, like reading, biking, photography, and loves trying new artistic outlets like music and visual arts!

Mindy Shi's Homepage at Temple University

https://cis.temple.edu/~mindyshi/

Recently celebrating its 50th year anniversary, CIS@Temple is one of the oldest computer science departments in the country and is experiencing tremendous growth in its research and academic programs.

‘Flappy Bird’ to return after a 10-year hiatus: the true story behind ...

https://news.temple.edu/news/2024-09-20/flappy-bird-return-after-10-year-hiatus-true-story-behind-world-s-most-viral-mobile

It’s an endless runner game with a one-button gaming design to control a bird to fly through gaps between green pipes without hitting them for as long as you can.

Novel Gene-Editing Strategy Leverages Unusual Genetic Alteration to ...

https://www.templehealth.org/about/news/novel-gene-editing-strategy-leverages-unusual-genetic-alteration-to-block-hiv-spread-in-cells

The new approach, described online in the journal Molecular Therapy – Nucleic Acids, is based on a combination of two gene-editing constructs, one that targets HIV-1 DNA and one that targets a gene called MOGS – defects in which cause MOGS-CDG.

With Leading-Edge Predictive Software, Temple Health Cuts Hypoglycemia ...

https://www.templehealth.org/about/news/predictive-software-cuts-hypoglycemia-2-3x

“This was one of our top priorities in introducing Endotool, because hypoglycemia can be so dangerous for patients,” says Dr. Slovis. “If your blood sugar gets too low, you can die.

Zhanteng Xie, Pujie Xin, and Philip Dames - Sites

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

mulatio (a) Lobby world (b) Square world as one configuration with 34 pedestrians. The green curve is the robot traje al forces, to simulate pedestrian motion. This section describes this setup in greater detail, presents the procedure we used to train our network, nd compares the results to other methods.