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Articles by Yining Yang
Sociodemographic and Clinical Profile of Adult Males With Duchenne Muscular Dystrophy
ACE Angiotensin converting enzyme BiPAP bilevel positive airway pressure BMD Becker muscular dystrophy CDC Centers for disease control and prevention CPAP continuous positive airway pressure DMD Duchenne muscular dystrophy G gastrostomy GED General Educational Development Test IQR interquartile range MD muscular dystrophy MD STARnet Muscular Dystrophy Surveillance Tracking and Research Network NIV noninvasive ventilation PEG percutaneous endoscopic gastrostomy 1 Introduction In the last few...
Targeting TWEAK to enhance mitochondrial biogenesis and attenuate age-related muscle mass loss
Abstract Mitochondrial dysfunction is an important cause of sarcopenia, and TWEAK/Fn14, as one of the major muscle wasting cytokines, its role in the development of sarcopenia by regulating mitochondrial biogenesis remains unclear. Expression of TWEAK in old and young mice was both detected. TWEAK was silenced in C2C12 myocytes using lentiviral vectors.
Epidemiological and bioinformatics analyses of air pollution and genetic susceptibility in aortic stenosis risk
Abstract While air pollution is a recognized cardiovascular risk, its specific impact on aortic stenosis (AS) remains poorly characterized. This study investigates the association between air pollution and incident AS, integrating gene–environment interactions and network toxicology.
Research on smart ship technology topic mining and impact quantification based on BERTopic and contrimetric
Abstract With the deep integration of information technology and the shipbuilding industry, smart ships have become an important direction for maritime technological transformation. To examine topic evolution and relative influence in this field, this study proposes an analytical framework that combines BERTopic-based semantic topic modeling with a Contrimetric-based contribution measurement approach.
A d -dimer and ADAMTS8 based multi-marker score for the diagnosis of acute aortic dissection
Abstract Acute aortic dissection (AAD) is a life-threatening emergency without established effective monitoring biomarkers. This study aimed to explore biomarkers to optimize the diagnosis of AAD. AAD related genes were screened by spatial transcriptomics experiments, and their encoded proteins were validated in aortic tissues. We measured plasma levels of candidate proteins in 302 participants (173 AAD cases, 129 controls), finding higher PTMA, ADAMTS8, and CD36 in AAD.
Red blood cell distribution width is associated with coronary artery disease in latent tuberculosis infection: a machine learning-based study
Abstract Background: Latent tuberculosis infection (LTBI) is associated with an increased risk of coronary artery disease (CAD), potentially mediated by systemic inflammation. Traditional lipid-based risk models may have limited predictive performance in tuberculosis-affected populations. Objectives: This study aimed to identify CAD risk factors in individuals with LTBI and to develop and externally validate a predictive model using a Boruta–LASSO machine learning approach.
Resistant Starch‐Capric Acid Effectively Improves Lipopolysaccharide‐Induced Depressive Behavior by Protecting the Intestinal Microbiota Barrier and Inhibiting Inflammatory Responses
1 Introduction Depression is a common mental disorder characterized by prolonged depression, declining interest, and slow thinking, and the disease is repeated; the incidence and fatality rate are relatively high (Flint et al. 2019). Depression is currently the fourth leading disease globally and is still growing rapidly, and is expected to become the largest disease burden in the world by 2030.
Analysis and Simulation of an Improved Fast Two‐Grid Mixed Element Method for a Nonlinear Time Fractional Pseudo‐Hyperbolic Equation
In this article, an improved fast two-grid mixed element algorithm is developed for a nonlinear time fractional pseudo-hyperbolic wave equation model.
Large language model-based biological age prediction in large-scale populations - Nature Medicine
Abstract Accurate and convenient assessment of individual aging is crucial for identifying health risks and preventing aging-related diseases. Nonetheless, current aging proxies often face challenges such as methodological limitations, weak associations with adverse outcomes and limited generalizability. Here we propose a framework that leverages large language models (LLMs) to estimate individual overall and organ-specific aging using only health examination reports.
Carbon Dots‐Induced Hydrogen‐Bonding Traps in RHO Zeolite: Mechanistic Insights and Superior Flue Gas Separation Performance
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Accelerating eMobility with Automotive Grade AI for Batteries
A worldwide innovation hub servicing component manufacturers and distributors with unique marketing solutions aspencore.com SiliconExpert provides engineers with the data and insight they need to remove risk from the supply chain. siliconexpert.com Transim powers many of the tools engineers use every day on manufacturers' websites and can develop solutions for any company. transim.com
Immune isolation-enabled nanoencapsulation of donor T cells: a promising strategy for mitigating GVHD and treating AML in preclinical models
Discussion As it stands, the prevention and specific treatment of GVHD still leaves a lot to be desired.
Towards higher frequencies in a compact prebunched waveguide THz-FEL - Nature Communications
Abstract Free-electron-lasers fill a critical gap in the space of THz-sources as they can reach high average and peak powers with spectral tunability. Using a waveguide in a THz FEL significantly increases the coupling between the relativistic electrons and electromagnetic field enabling large amounts of radiation to be generated in a single passage of electrons through the undulator.
Numerical Analysis and Computation of the Finite Volume Element Method for the Nonlinear Coupled Time-Fractional Schrödinger Equations
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.
Patterns in Receiving Informal Help With Childcare Among U.S. Parents During the COVID-19 Pandemic
Get full access to this article View all access and purchase options for this article. References Ackert E., Ressler R., Ansari A., Crosnoe R. (2018). Maternal employment, community contexts, and the child-care arrangements of diverse groups. Journal of Marriage and Family, 80(5), 1210–1224. https://doi.org/10.1111/jomf.12501 Alon T., Doepke M., Olmstead-Rumsey J., Tertilt M. (2020). The impact of COVID-19 on gender equality. National Bureau of Economic Research. (Working Paper 26947).
Estimation of the Living Vegetation Volume (LVV) for Individual Urban Street Trees Based on Vehicle-Mounted LiDAR Data
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.
Effectiveness of CT radiomic features combined with clinical factors in predicting prognosis in patients with limited-stage small cell lung cancer - BMC Cancer
This study retrospectively identified patients with LS-SCLC admitted to Tianjin Medical University Cancer Institute and Hospital between September 2013 and March 2021. The Ethic Committee of Tianjin Medical University Cancer Institute and Hospital approved this study. Informed consent was obtained from all study participants.
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