A Review of Rehabilitative and Assistive Technologies for Upper-Body Exoskeletal Devices (open access)

A Review of Rehabilitative and Assistive Technologies for Upper-Body Exoskeletal Devices

Authors state that this journal review article focuses on the use of assistive and rehabilitative exoskeletons as a new opportunity for individuals with diminished mobility. Overall, this article serves as a valuable resource for individuals working in the field of assistive and rehabilitative exoskeletons, providing insight into the state of the art and potential areas for improvement.
Date: April 20, 2023
Creator: Hays, Emilly; Slayton, Jack; Tejeda-Godinez, Gary; Carney, Emily; Cruz, Kobe; Exley, Trevor et al.
System: The UNT Digital Library
Suppression of the antitumoral activity of natural killer cells under indirect coculture with cancer-associated fibroblasts in a pancreatic TIME-on-chip model (open access)

Suppression of the antitumoral activity of natural killer cells under indirect coculture with cancer-associated fibroblasts in a pancreatic TIME-on-chip model

Article describes how recently, natural killer cells emerged as a treatment option for various solid tumors. The effect of activated pancreatic stellate cells on natural killer cell-mediated anticancer efficacy under three-dimensional coculture conditions was investigated.
Date: September 27, 2023
Creator: Kim, Hyun-Ah; Kim, Hyunsoo; Nam, Min-Kyung; Park, Jong Kook; Lee, Moo-Yeal; Chung, Seok et al.
System: The UNT Digital Library
Surface Nanostructures Enhanced Biocompatibility and Osteoinductivity of laser-Additively Manufactured CoCrMo Alloys (open access)

Surface Nanostructures Enhanced Biocompatibility and Osteoinductivity of laser-Additively Manufactured CoCrMo Alloys

Article describes how cobalt–chromium–molybdenum (CoCrMo) alloys are widely used in orthopedic implants due to their excellent corrosion and wear resistance and superior mechanical properties. In this study, the authors prepared CoCrMo alloys with surface nanostructures of various aspect ratios (AR) using laser-directed energy deposition (L-DED) and biocorrosion.
Date: December 6, 2023
Creator: Man, Kun; Mazumder, Sangram; Dahotre, Narendra B. & Yang, Yong
System: The UNT Digital Library
Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook (open access)

Unsupervised learning in images and audio to produce neural receptive fields: a primer and accessible notebook

This article presents a consolidated review of Independent Component Analysis (ICA) as an efficient neural coding scheme with the ability to model early visual and auditory neural processing.
Date: October 19, 2021
Creator: Urs, Namratha; Behpour, Sahar; Georgaras, Angie & Albert, Mark
System: The UNT Digital Library
Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial (open access)

Using a microprocessor knee (C-Leg) with appropriate foot transitioned individuals with dysvascular transfemoral amputations to higher performance levels: a longitudinal randomized clinical trial

Article evaluating whether advanced prostheses can provide better safety and performance capabilities to maintain and improve quality of life in individuals who are predominantly designated MFCL level K2. This study used a 13 month longitudinal clinical trial to determine the benefits of using a C-Leg and 1M10 foot in individuals at K2 level with transfemoral amputation due to vascular disease.
Date: May 25, 2021
Creator: Jayaraman, Chandrasekaran; Mummidisetty, Chaithanya K.; Albert, Mark; Lipschutz, Robert; Hoppe-Ludwig, Shenan; Mathur, Gayatri et al.
System: The UNT Digital Library
Wearable airbag technology and machine learned models to mitigate falls after stroke (open access)

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