光粒加速器- 烧饼哥加速器

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Awesome Mac - SegmentFault 思否:2021-4-27 · Awesome Mac 这个仓库主要是收集非常好用的Mac应用程序、软件众及工具，面向开发者和设计师。有这个想法是因为我最近发了一篇较为火爆的涨粉儿微信公众号文章《工具武装的前端开发工程师》，于是建了这么一个仓库，持续更新作为补充，搜集更多好用的软件工具。

光粒加速器- 烧饼哥加速器

Congrats to our TechSAge 2024 graduates!

Alyse Bondarowicz, BS Interdisciplinary Health (UIUC)
Jordan Chen, MS Human Computer Interaction (Georgia Tech)
Mikaela Frechette, MS Kinesiology (UIUC)
Jordan Hartley, MS Public Health (Emory University)
Christopher Kovac, BS Computer Science (UIUC)
Adithi Murthy, BS in Industrial Engineering (UIUC)
Megan Sebahar, BS Community Health (UIUC)
Yohta Shimizu, MS Library & Information Science (UIUC)

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光粒加速器- 烧饼哥加速器

Multiple sclerosis (MS) affects roughly 2.3 million individuals worldwide – many of whom experience walking impairments. Many traditional measures to quantify walking, such as self-reports and in-lab observations and performance tests, do not fully characterize walking in the real-world. Wearable technology may provide a solution to the limitations of current clinical and lab-based measures for people with MS. A new review article by grad student Mikaela Frechette, Dr. Jake Sosnoff & colleagues in Current Neurology and Neuroscience Reports, finds that wearable technology has the ability to provide objective, comprehensive, and sensitive measures of gait in people with MS by enabling easy and continuous remote gait quality monitoring that can take place outside a typical lab. Read the full article by Frechette, Meyer, Tulipani, Gurchiek, McGinnis, & Sosnoff. Mikaela was granted her MS in Kinesiology (May 2024) for her thesis entitled “The validity, reliability, and sensitivity of a smartphone-based seated postural control assessment in wheelchair users”, as part of the 上网科学工具app 下载.

光粒加速器- 烧饼哥加速器

A system for bedside assistance that integrates a robotic bed and a mobile manipulator.
Teaching Video Game Design Accessibility: Toward Effective Pedagogic Interventions in Accessible Design
Understanding the use and non-use of social communication technologies by older adults: A qualitative test and extension of the UTAUT model

光粒加速器- 烧饼哥加速器

Harshal Mahajan, Ph.D. is a Research Assistant Professor at the College of Applied Health Sciences at Illinois and serves as the Assistant Director of Research for the McKechnie Family LIFE Home. 

As a part of the Monitoring and Managing falls project, Harshal is involved with clinical assessment of wheelchair falls and assists with developing algorithms that will help develop a wheelchair fall detection system. Previously, he was involved with the Smart Bathroom project with clinical assessment of bathroom transfers. His research interests include: smart living environments, smart assistive technologies, virtual and augmented reality rehabilitation interventions. Learn more about Harshal.

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TechSAge research is funded by the National Institute on Disability, Independent Living, and Rehabilitation Research (NIDILRR grant number #90REGE0006-01-00 ). NIDILRR is a Center within the Administration for Community Living (ACL), Department of Health and Human Services (HHS).