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Background: Digital-intelligent technologies (DIT), positioned at the convergence of artificial intelligence and digital transformation, have become pivotal to the modernization of physical education (PE). Although widely discussed within the context of Wisdom Education, their specific applications in PE have not been systematically synthesized. This study aimed to systematically review the scope, educational impacts, and implementation challenges of DIT in PE.
Methods: A systematic review was conducted on 85 empirical studies published between January 2014 and November 2024. Following PRISMA guidelines, the review examined application scenarios, technological architectures, educational outcomes, and implementation barriers.
Results: Digital Intelligent technologies (DIT) have been adopted across all stages of PE, forming a closed-loop system that includes (a) intelligent instructional design, (b) real-time process visualization, and (c) data-driven evaluation and feedback. Key innovations involved adaptive learning platforms, virtual simulation tools, multimodal assessment systems, and health behavior monitoring. Challenges remain in algorithmic accuracy, data privacy, and unequal access to digital resources.
Conclusion: Digital-intelligent technologies (DIT) have reshaped physical education by enabling more intelligent, personalized, and data-informed instructional practices. To fully realize their potential, future efforts must prioritize algorithmic advancement, ethical safeguards, and the promotion of digital equity.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12328460 | PMC |
http://dx.doi.org/10.3389/fpubh.2025.1626603 | DOI Listing |
J Thromb Thrombolysis
September 2025
Central Laboratory of Yongchuan Hospital, Chongqing Medical University, No. 439, Xuanhua Road, Yongchuan District, Chongqing, 402160, China.
In vitro assessment of the inhibitory effect of antiplatelet drugs on platelet aggregation is frequently employed to guide personalized antiplatelet therapy in clinical practice. However, existing methods for detecting platelet aggregation rely heavily on high concentrations of exogenous agonists, which may obscure part of the inhibitory effect of antiplatelet drugs and lead to an underestimation of their effects. This study validates a novel analytical strategy for evaluating the effects of antiplatelet drugs by quantifying the microscopic three-dimensional morphological parameters of platelet aggregates formed through spontaneous aggregation on a glass surface.
View Article and Find Full Text PDFSensors (Basel)
August 2025
State Key Laboratory of Digital Intelligent Technology for Unmanned Coal Mining, Anhui University of Science & Technology, Huainan 232001, China.
Wavelength modulation-tunable diode laser absorption spectroscopy (WM-TDLAS) is a critical tool for gas detection. However, noise in second harmonic signals degrades detection performance. This study presents a hybrid denoising algorithm combining Empirical Mode Decomposition (EMD) and wavelet adaptive thresholding to enhance WM-TDLAS performance.
View Article and Find Full Text PDFResearch (Wash D C)
August 2025
Biomedical Innovation and Entrepreneurship Practice Base, Lab Teaching & Management Center, Chongqing Medical University, Chongqing 400016, China.
Electrochemiluminescence (ECL) immunoassays based on tris(bipyridine)ruthenium [Ru(bpy) ] is the luminophore representing the most advanced and widely adopted approach in the field of in vitro diagnostics (IVD). However, the scarcity of potential-resolved ECL promoters for Ru(bpy) markedly limits its application in clinical diagnostics. Here, we report the first application of cobalt single-atom catalysts (SACs) designed via density functional theory (DFT) calculations to boost the multi-signal ECL of Ru(bpy) .
View Article and Find Full Text PDFSci Rep
August 2025
School of Management, Hebei GEO University, Shijiazhuang, Hebei, China.
The manufacturing industry's continuous digital intelligence transformation has triggered an extensive discussion on the environmental impact. In order to further explore this relationship, the panel data of 30 provinces in China from 2011 to 2021 is used in this analysis, the index system of digital intelligent transformation of manufacturing industry is constructed from two aspects of digitalization and intelligence of manufacturing industry, and the principal component analysis method is used to calculate. The two-way fixed effect model is used to analyze its impact on energy consumption and carbon emissions.
View Article and Find Full Text PDFJ Environ Manage
August 2025
Montpellier Business School, Montpellier, France. Electronic address:
In the era of Artificial Intelligence (AI), it has become critical for business entities to adopt intelligent production processes that align with green and sustainable economy practices and strategies with sustainability targets. However, G20 economies face a serious challenge in integrating digital intelligence into the manufacturing industry, hindering the prioritization of corporate sustainability responsibilities. Accordingly, this study employed factor analysis to critically examine digital intelligence levels of the manufacturing sector in G20 countries using the CRITIC-entropy combination weight model.
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