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Articles by Junwei Lin
Integrative transcriptomics–metabolomics reveals sphingolipid metabolic reprogramming in traditional Chinese medicine syndrome differentiation of rheumatoid arthritis
Abstract Objective: To investigate sphingolipid metabolism for differentiating heat-dampness syndrome from kidney-liver deficiency syndrome in Rheumatoid Arthritis (RA), identify metabolic biomarkers, and integrate transcriptomic data to elucidate molecular mechanisms.
Navigating Complexity for Sustainable Development: A CAS-Informed fsQCA Evidence of Nonprofit Organizations
No potential conflict of interest was reported by the authors. The data in this study came from the China Social Work Longitudinal Study (CSWLS), the first large-scale continuous sample survey and research project initiated by the East China University of Science and Technology on the theme of social work industry development dynamics.
Navigating Complexity for Sustainable Development: A CAS-Informed fsQCA Evidence of Nonprofit Organizations
ABSTRACT This study aims to examine the sustainable development of nonprofit organizations through the lens of complex adaptive system theory. Utilizing a fuzzy set qualitative comparative analysis methodology, a sample of 184 social service organizations in China was analyzed.
Efficacy of acupuncture for patients with Parkinson’s disease–related constipation: study protocol for a randomized controlled, double-blind trial
Abstract Background: Parkinson’s disease (PD)-related constipation represents a prevalent and disabling non-motor symptom that imposes a substantial and growing health and economic burden worldwide. Current management strategies, including dietary modification, probiotics, and pharmacological therapies, often provide limited benefit, with potential adverse effects and minimal improvement in other PD-related symptoms.
Vitamin A and E status across the spectrum of Hashimoto’s thyroiditis in women: associations with autoimmunity and thyroid function
Abstract Introduction: The status of fat-soluble vitamins (A, D, E) across the spectrum ofHashimoto’s thyroiditis (HT), particularly regarding sex-specific patterns, remainsincompletely characterized. Methods: This cross-sectional study aimed to evaluate the associations of these vitamins with thyroid autoimmunity and function. We analyzed 196 adults, focusing on the 136 women stratified into healthy controls (HC), euthyroid HT (E-HT), and dysfunctional HT (HT-dys).
Frontiers | Magnesium deficiency score predicts erectile dysfunction risk and mortality: a population-based analysis of NHANES 2001–2004
Department of Urology, Fujian Medical University Union Hospital, Fuzhou, China Background: Magnesium deficiency is associated with numerous cardiovascular and metabolic disorders, which are established risk factors for erectile dysfunction (ED). However, the role of the magnesium depletion score (MDS)—a composite measure of magnesium status—in relation to ED and subsequent mortality remains unclear.
Machine learning based on multiplatform tests assists in subtype classification of mature B‐cell neoplasms
CONFLICT OF INTEREST STATEMENT The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as potential conflicts of interest. Supporting Information Filename Description bjh19934-sup-0001-Supinfo.zipZip archive, 4 MB Figure S1. Figure S2. Figure S3. Figure S4. Figure S5. Table S1. Table S2. Table S3. Table S4. Table S5. Table S6. Table S7. Table S8. Table S9. Table S10. Table S11. REFERENCES 1, , , , , , et al.
Robot Learning Method for Human-like Arm Skills Based on the Hybrid Primitive Framework
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Research on a BP Neural Network Slope Safety Coefficient Prediction Model Based on Improved Sparrow Algorithm Optimization
Abstract : Through the stability evaluation of a slope, a landslide geological disaster can be identified, and the safety and risk control of a project can be ensured. This work proposes an improved sparrow search algorithm to optimize the slope safety factor prediction model (ISSA–BP) of a BP neural network, through an improvement in two aspects: introducing dynamic weight factors and reverse learning strategies to realize adaptive searches.
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