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    大连医科大学

    Dalian Medical University
    院校EST. 1947
    3.9万论文总数
    26.7万引用总数

    Dalian Medical University (Chinese: 大连医科大学; pinyin: Dàlián Yīkē Dàxué) is a university in Dalian, Liaoning, China under the provincial government. It was founded in 1947.In October 2007, it moved to the new campus in Lushunkou District, Dalian, which is across Lushun South Road from Dalian University of Foreign Languages' new campus.The school through its Dalian Medical University Plastination Co. subsidiary is the source of the cadavers which have undergone plastination to appear worldwide in the BODIES... The Exhibition.The school currently has 1 national key discipline, 4 first-class construction disciplines in Liaoning Province, and 4 first-class characteristic disciplines in Liaoning Province. 2 disciplines enter the top 1% of ESI global institutions. There are 4 post-doctoral research stations, 4 first-level discipline doctorate authorization points, 1 professional doctorate authorization point; 11 first-level discipline authorization authorization points, and 6 professional temporary authorization points. One was awarded by the Ministry of Education's innovation team, and two of them were selected as young leaders in science and technology innovation in the Ministry of Science and Technology Innovation Talent Promotion Plan. The school has now developed to be medically focused, it is a key construction university of a first-class university in Liaoning Province..

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    1In-situ CO2-induced Synthesis of T2-Al2MgC2 Phase Enabled High-Performance Wire Arc Additive-Manufactured AZ91D Mg-based Alloy
    Wenjie Xu,Xuejian Li, Zhiwei Qin, Zhen Zhang,Hailong Shi,Junjie Yang, Xuanchang Zhang,Shuaihu Wei,Xiaoshi Hu,Chao Xu,Nodir Turakhodjaev, Sharofuddin Mardonakulov,

    The chemical composition of Mg-based welding wires plays a decisive role in determining the microstructure and mechanical properties of wire arc additive-manufactured (WAAM) components. Herein, an innovative CO2 -induced wire fabrication strategy was proposed to achieve the in-situ synthesis of T2-Al2 MgC2 phase within the AZ91D Mg-based alloy. The fine T2-Al2 MgC2 phase was synthesized through the insitu reaction between CO2 and AZ91D Mg-based alloy, after which Mg-based welding wires were prepared through hot extrusion and used for WAAM of thin-walled structures. Microstructural evolution, mechanical properties, and the refinement mechanism of the T2-Al2 MgC2 phase during the WAAM process were investigated. The as-built WAAM components were characterized by a predominantly equiaxed microstructure and an average grain size of approximately 14.7 & micro;m. Grain refinement was attributed to the orientation relationship (0 0 01) T2 -Al2 Mg C2 //(0 0 01)alpha- Mg , which enabled T2-Al2 MgC2 to act as effective heterogeneous nuclei for alpha-Mg. MgO nanoparticles were synchronously formed to impede grain-boundary migration and suppress the coarsening of the B-Mg17 Al12 . The horizontal direction of the components exhibited an ultimate tensile strength of 320.6 MPa and an elongation of 9.2 %, while the vertical direction showed corresponding values of 269.2 MPa and 6.8 %, respectively. Furthermore, the components exhibited pronounced quasi-cleavage fracture characteristics. This work provides a new pathway for developing high-performance Mg-based welding wires suitable for the WAAM process. (c) 2026 Published by Elsevier Ltd on behalf of The editorial office of Journal of Materials Science & Technology.

    2027JOURNAL OF MATERIALS SCIENCE & TECHNOLOGY(2027)
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    2Left Atrial Functional Parameters and Left Ventricular Reverse Remodeling after Aortic Valve Replacement in Severe Aortic Stenosis
    Na Chen, Yongxin Li,Siqi Cao, Wenhui Gu, Huiyu Tang,Siyao Sun,Tao Cong,Haibo Wu,Jun Wu
    2027Korean Circulation Journal(2027)
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    3Context-Dependent Regulation of Microglial Metabolic and Immune States Via IL-3/CD123 Signaling: Implications for Glial Crosstalk and Cognitive Impairment
    Zhongxu Yu, Yi Lin, Erming Yang,Xiaofei Ji, Jiahui Liu, Yang Jiao

    Cognitive impairment (CI), spanning mild memory issues to severe dementia, impacts over 55 million people worldwide and have a significant effect that strains health, economy, and caregiving. Surprisingly, it occurs at any age. The glial cell ecosystem, particularly astrocyte-microglia crosstalk, is pivotal for brain homeostasis and cognitive function across the lifespan. Intriguingly, in recent discoveries, dysregulation of ecosystem contributes to neurodevelopmental disorders (NDDs), adult cognitive decline, and neurodegenerative diseases like Alzheimer’s disease (AD), and astrocyte-derived interleukin-3 (IL-3), acting via the IL-3/CD123-related signals, may act as a key regulatory mediator of microglial function. Over the past few decades, extensive researches have been devoted to investigating aging-related regulatory factors with the aim of deciphering the “code” underlying cognitive developmental abnormalities, premature cognitive decline, and neurodegeneration. Astrocyte-microglia crosstalk governs age-dependent glial turnover via senescence-sensitive IL-3. Under pathological conditions, perturbed turnover’s association with age-stratified CI and its regulators is poorly understood. This review integrates current evidence on glial crosstalk, cellular senescence, and repopulation to elucidate age-specific CI driven by dysregulated glial turnover, while identifying key biomarkers that can predict aging processes. Looking ahead, therapeutic strategies targeting the IL-3/CD123-related signals regulating glial crosstalk hold promise for advancing interventions in immune-mediated CI across the lifespan.

    2026Molecular Neurobiology(2026)引用:166
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    4From Immunosuppression to Active Tolerance Induction: an Evolving Paradigm of Regulatory T Cell-Based Therapy in Organ Transplantation
    Shao-Wei Li, Xin-Yu Fu, Hao-Ting Li, Hao Liu,Masayuki Fujino,Xiao-Kang Li

    Regulatory T cells (Tregs) play a pivotal role in promoting immune tolerance during organ transplantations, prompting a critical shift from conventional immunosuppression to active immune regulation in therapeutic paradigms. This review synthesizes recent advances in Treg-based therapies for liver, kidney, and heart transplantations, highlighting their capacity to modulate immune responses and prevent allograft rejection, with preclinical studies and early-phase clinical trials demonstrating the safety and feasibility of autologous polyclonal Treg therapy for enhancing graft survival. Despite these promising results, widespread clinical application faces challenges including complex manufacturing, cellular stability in inflammatory environments, and lack of standardized potency assays. Therefore, this review critically assesses emerging strategies, such as antigen-specific chimeric antigen receptor (CAR)-Tregs for precise immune targeting and gene-edited, “off-the-shelf” allogeneic Tregs, aimed at improving scalability and accessibility. By providing a comprehensive overview of current progress and remaining obstacles, this review guides future research and supports the clinical translation of Treg-based therapies to ultimately improve long-term outcomes for transplant recipients.

    2026Immunity & Inflammation(2026)引用:111
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    5Advances in the Application of Artificial Intelligence-Driven Multi-Modal Imaging Technologies in the Comprehensive Diagnosis and Treatment of Diabetic Foot Ulcers
    Lianbo Yang, Yifan Wang, Tianqi Wang, Jiahui Zhou, Jinghang Lv, Haidong Liang

    Diabetic foot ulcers are serious skin wounds that affect many people with diabetes, often leading to severe infections or even the loss of a limb. This paper explores how artificial intelligence —computer programs that can learn from data—is changing the way doctors find and treat these wounds. By reviewing 68 recent studies, we looked at how these smart technologies analyze different types of medical images to help patients. Our findings show that AI can help doctors identify health risks much earlier than traditional methods. These computer tools are also excellent at measuring how a wound is healing and predicting which treatments will work best for each individual. Because AI can spot tiny patterns in images that the human eye might miss, it makes medical care more precise and consistent. In conclusion, using AI to manage diabetic foot wounds offers a powerful way to improve patient health. By helping doctors make better, data-driven decisions, this technology can lead to faster healing and reduce the risk of serious complications for people living with diabetes.

    2026Reviews in Endocrine and Metabolic Disorders(2026)引用:93
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