Introduction: Military personnel must manage a multitude of competing physiological and cognitive stressors while maintaining high levels of performance. Quantifying the external workload and cognitive demands of tactical military field exercises closely simulating operational environments, will provide a better understanding of stressors placed on personnel to inform evidence-based interventions.
Methods: Thirty-one soldiers completing a dismounted 48 hours tactical field exercise, participated in the study. External workload was quantified using a wrist-worn triaxial accelerometer, with cognitive function (Go-/No-Go, N-back, psychomotor vigilance task and subjective workload ratings (NASA-TLX) assessed pre-exercise, mid-exercise and postexercise. Physical activity was described using Euclidian Norm Minus One (m), with moderate vigorous physical activity (MVPA) and sedentary light physical activity (SLPA) as ≥ or <113 m, respectively. Changes in general cognitive performance (total accuracy-speed trade-off (ASTO) % change) and function outcome variables (overall mean reaction time, ASTO and number of correct and missed responses) were calculated for each assessment from pre-exercise, to mid-exercise and postexercise.
Results: For the exercise duration (50:12±02:06 hh:mm) participants spent more time completing SLPA compared with MVPA (1932±234 vs 1074±194 min; <0.001), equating to 33% of the time spent completing MVPA. Overall cognitive performance decreased over the exercise (pre-to-post: -249). However, the largest decrement was observed pre-to-mid (-168). Perceived mental demand associated with the cognitive assessments significantly increased over the duration of the exercise (pre-: 33; mid-: 38 and post-: 51; χ = 26.7, = <0.001, W=0.477) which could suggest that participants were able to attenuate a further decline in cognitive performance by investing more effort/mental resources when completing assessments.
Conclusion: The study successfully quantified the physical activity, and subsequent impact on cognitive function, in soldiers completing a 48 hours tactical field exercise. Further research is needed to better understand how physiological stressors interact with cognitive function during military operations.
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http://dx.doi.org/10.1136/military-2024-002672 | DOI Listing |
Acta Psychol (Amst)
January 2025
School of Education, City University of Macau, Macao, China.
Despite extensive research on motivation in English as a Foreign Language (EFL) settings, demotivation within medical education remains underexplored. This mixed-method study employs the Situated Expectancy-Value Theory (SEVT) to investigate the demotivation of English learning experienced by 426 Chinese medical students in their English language learning. Utilising data collected from the adapted English learning demotivation questionnaire, quantitative analysis was conducted through exploratory factor analysis, confirmatory factor analysis, and correlation analysis.
View Article and Find Full Text PDFSci Data
January 2025
Hochschule für Technik und Wirtschaft Berlin (HTW Berlin), Berlin, Germany.
Road unevenness significantly impacts the safety and comfort of traffic participants, especially vulnerable groups such as cyclists and wheelchair users. To train models for comprehensive road surface assessments, we introduce StreetSurfaceVis, a novel dataset comprising 9,122 street-level images mostly from Germany collected from a crowdsourcing platform and manually annotated by road surface type and quality. By crafting a heterogeneous dataset, we aim to enable robust models that maintain high accuracy across diverse image sources.
View Article and Find Full Text PDFEur Radiol
January 2025
Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
Objective: This study aimed to develop an open-source multimodal large language model (CXR-LLaVA) for interpreting chest X-ray images (CXRs), leveraging recent advances in large language models (LLMs) to potentially replicate the image interpretation skills of human radiologists.
Materials And Methods: For training, we collected 592,580 publicly available CXRs, of which 374,881 had labels for certain radiographic abnormalities (Dataset 1) and 217,699 provided free-text radiology reports (Dataset 2). After pre-training a vision transformer with Dataset 1, we integrated it with an LLM influenced by the LLaVA network.
J Strength Cond Res
December 2024
Jayhawk Athletic Performance Laboratory-Wu Tsai Human Performance Alliance, University of Kansas, University of Kansas, Lawrence, Kansas.
Philipp, NM, Blackburn, SD, Cabarkapa, D, and Fry, AC. The effects of a low-volume, high-intensity pre-season micro-cycle on neuromuscular performance in collegiate female basketball players. J Strength Cond Res 38(12): 2136-2146, 2024-The use of stretch-shortening cycle (SSC)-based measures of vertical jump performance to monitor responses to training exposures is common practice in sport science.
View Article and Find Full Text PDFCancers (Basel)
December 2024
Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, NY 11030, USA.
: Positron emission tomography (PET) is a valuable tool for the assessment of lymphoma, while artificial intelligence (AI) holds promise as a reliable resource for the analysis of medical images. In this context, we systematically reviewed the applications of deep learning (DL) for the interpretation of lymphoma PET images. : We searched PubMed until 11 September 2024 for studies developing DL models for the evaluation of PET images of patients with lymphoma.
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