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Wearable airbag technology and machine learned models to mitigate falls after stroke
Article discusses wearable airbag technology that has been designed to detect and mitigate fall impact. However, this technology has not been validated for the stroke population, so authors investigated whether population-specific training data and modeling parameters are required to pre-detect falls in a chronic stroke population.
Date:
June 17, 2022
Creator:
Botonis, Olivia K.; Harari, Yaar; Embry, Kyle R.; Mummidisetty, Chaithanya K.; Riopelle, David; Giffhorn, Matt et al.
System:
The UNT Digital Library
Interfacial Zinc Phosphate is the Key to Controlling Biocompatibility of Metallic Zinc Implants
Article examines the roles of all major players in the biocompatibility of zinc, i.e., zinc phosphate (ZnP), zinc oxide (ZnO), zinc hydroxide (Zn(OH)2), pH, and Zn2+.
Date:
May 17, 2019
Creator:
Su, Yingchao; Yang, Hongtao; Gao, Julia; Qin, Yi‐Xian; Zheng, Yufeng & Zhu, Donghui
System:
The UNT Digital Library
Detergent-Based Decellularization for Anisotropic Cardiac-Specific Extracellular Matrix Scaffold Generation
Article describes how cell-derived extracellular matrix has become increasingly popular in tissue engineering applications due to its ability to provide tailored signals for desirable cellular responses. The objective of this study was to assess the efficacy of two detergent-based decellularization methods: a combination of ethylenediaminetetraacetic acid and sodium dodecyl sulfate and a combination of sodium deoxycholate and deoxyribonuclease.
Date:
November 17, 2023
Creator:
Chen, Te-An; Sharma, Dhavan; Jia, Wenkai; Ha, Donggi; Man, Kun; Zhang, Jianhua et al.
System:
The UNT Digital Library