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Objective: To analyze the status and papers information of Chinese Journal of Applied Physiology, and provide a guide for authors, readers and editing staffs.
Methods: We retrieved papers of Chinese Journal of Applied Physiology from 2009 to 2013 from CNKI, and performed a statistical analysis of papers information contained in the text using bibliometrics method. Papers information such as document type, found support, author affiliation type, and discipline classification, etc. was analyzed.
Results: Seven hundred and forty two papers including 27 full English articles in total were published in Chinese Journal of Applied Physiology from 2009 to 2013. More papers were supported by national, provincial, and the other foundation, it was about 82.6% of all papers.
Conclusion: Chinese Journal of Applied Physiology has stable manuscript resources, various discipline papers, and play an important role for development of applied physiology in China.
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JMIR Hum Factors
September 2025
Department of Music, Arts and Culture Studies, Centre of Excellence in Music, Mind, Body and Brain, University of Jyväskylä, Seminaarinkatu 15, Jyväskylän yliopisto, Jyväskylä, 40014, Finland, 358 6643034.
Background: Personalized Interactive Music Systems (PIMSs) are emerging as promising devices for enhancing physical activity and exercise outcomes. By leveraging real-time data and adaptive technologies, PIMSs align musical features, such as tempo and genre, with users' physical activity patterns, including frequency and intensity, enhancing their overall experience.
Objective: This exploratory systematic review and meta-analysis evaluates the effectiveness of PIMSs across physical, psychophysical, and affective domains.
JCO Clin Cancer Inform
August 2025
Telperian, Austin, TX.
Purpose: Lymphocytes play critical roles in cancer immunity and tumor surveillance. Radiation-induced lymphopenia (RIL) is a common side effect observed in patients with cancer undergoing chemoradiation therapy (CRT), leading to impaired immunity and worse clinical outcomes. Although proton beam therapy (PBT) has been suggested to reduce RIL risk compared with intensity-modulated radiation therapy (IMRT), this study used Bayesian counterfactual machine learning to identify distinct patient profiles and inform personalized radiation modality choice.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Institute for Complex Molecular Systems, Eindhoven University of Technology, Eindhoven 5600 MB, The Netherlands.
Multivalent binding and the resulting dynamical clustering of receptors and ligands are known to be key features in biological interactions. For optimizing biomaterials capable of similar dynamical features, it is essential to understand the first step of these interactions, namely the multivalent molecular recognition between ligands and cell receptors. Here, we present the reciprocal cooperation between dynamic ligands in supramolecular polymers and dynamic receptors in model cell membranes, determining molecular recognition and multivalent binding via receptor clustering.
View Article and Find Full Text PDFProc Natl Acad Sci U S A
September 2025
Chinese Academy of Sciences Key Laboratory of Forest Ecology and Silviculture, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China.
Vegetation phenology, i.e., seasonal biological events such as leaf-out and leaf-fall, regulates local climate through biophysical processes like evapotranspiration (ET) and albedo.
View Article and Find Full Text PDFPLoS One
September 2025
Department of Molecular Biology and Genetics, Faculty of Science, Koç University, Istanbul, Türkiye.
The increasing demand for efficient recombinant insulin production necessitates the development of scalable, high-yield, and cost-effective bioprocesses. In this study, we engineered a novel mini-proinsulin (nMPI) with enhanced expression properties by shortening the C-peptide and incorporating specific residue substitutions to eliminate the need for enzymatic cleavage. To optimize its production, we applied a hybrid approach combining microscale high-throughput cultivation using the BioLector microbioreactor and statistical modeling via response surface methodology (RSM).
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