Oxidative stress, caused by the accumulation of reactive oxygen species (ROS), is a pathological factor in several incurable neurodegenerative conditions as well as in stroke. However, our knowledge of the genetic elements that can be manipulated to protect neurons from oxidative stress-induced cell death is still very limited. Here, using Caenorhabditis elegans as a model system, combined with the optogenetic tool KillerRed to spatially and temporally control ROS generation, we identify a previously uncharacterized gene, oxidative stress protective 1 (osp-1), that protects C.
View Article and Find Full Text PDFBouts of military load carriage are rarely completed in isolation; however, limited research has investigated the physiological responses to repeated load carriage tasks. Twelve civilian men (age, 28 ± 8 years; stature, 185.6 ± 5.
View Article and Find Full Text PDFBackground: Dismounted military operations require soldiers to complete cognitive tasks whilst undertaking demanding and repeated physical taskings.
Objective: To assess the effects of repeated fast load carriage bouts on cognitive performance, perceptual responses, and psychophysiological markers.
Methods: Twelve civilian males (age, 28 ± 8 y; stature, 186 ± 6 cm; body mass 84.
We sought to identify concepts that may facilitate National Collegiate Athletic Association efforts to assist member institutions in addressing the mental health needs of student-athletes of colour. A two-step process was followed to generate and refine concepts, guided by Delphi methodology. First, a scoping review was conducted, including original peer-reviewed research articles that quantified or qualitatively described determinant(s) of racial or ethnic differences in athlete mental health or mental healthcare.
View Article and Find Full Text PDFRadiography (Lond)
November 2022
Introduction: Artificial intelligence (AI) is increasingly utilised in medical imaging systems and processes, and radiographers must embrace this advancement. This study aimed to investigate perceptions, knowledge, and expectations towards integrating AI into medical imaging amongst a sample of radiographers and determine the current state of AI education within the community.
Methods: A cross-sectional online quantitative study targeting radiographers based in Europe was conducted over ten weeks.