Soluble galectin-4 in colorectal cancer is associated with tumor progression, but is not a predictor of the disease outcome by Elena Y. Yakunina, Olga V. Kovaleva, Ruslan A. Zukov, Alexey N. Gratchev, Sergey S. Salamatin, Sofya O. Kochkina, Zaman Z. Mammadli, Nikolay E. Kushlinskii

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Water quality characteristics of municipal wastewater treatment plants and the prospect of reclaimed water utilization in lower-middle income and water-scarce areas: A case study o... by Yutong Duan, Hongbo Xi, Zhikai Qin, Ruili Guo, Fang Wang, Yue Yuan

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Can ChatGPT4-vision identify radiologic progression of multiple sclerosis on brain MRI? by Brendan S. Kelly, Sophie Duignan, Prateek Mathur, Henry Dillon, Edward H. Lee, Kristen W. Yeom, Pearse A. Keane, Aonghus Lawlor, Ronan P. Killeen

“…Conclusion The performance of GPT4V combined with its accessibility suggests has the potential to impact AI radiology research. However, misclassified cases and overly cautious non-answers confirm that it is not yet ready for clinical use. …”
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Dual-immunomodulatory effects on RAW264.7 macrophages and structural elucidation of a polysaccharide isolated from fermentation broth of Paecilomyces hepiali by Baoming Tian, Renjian Liu, Qi Li, Hanshan Xu, Ming Cai, Rongfa Guan, Peilong Sun, Kai Yang

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Probiotic potential and safety properties of Limosilactobacillus fermentum A51 with high exopolysaccharide production by Guangqiang Wei, Daodian Wang, Daodian Wang, Teng Wang, Gao Wang, Yunmei Chai, Yufang Li, Minhui Mei, Hao Wang, Aixiang Huang

“…In vitro assays confirmed that L. fermentum A51 showed good tolerance to simulated gastrointestinal tract (8.49 log CFU/mL), 0.3% bile salt (39.06%), and possessed adhesion (86.92%), antioxidant (70.60–89.71%), and antimicrobial activities, as well as EPS and signaling molecule AI-2 synthesis capacities.ConclusionCollectively, our findings have confirmed that L. fermentum A51 is safe and exhibits good probiotic properties, thus recommending its potential application in the production of value-added fermented dairy products.…”
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Latitudinal patterns of tree β-diversity and relevant ecological processes vary across spatial extents in forests of southeastern China by Maochou Liu, Wenxiang Wu, Ke Wang, Xinshuai Ren, Xueqin Zhang, Lei Wang, Jing Geng, Bo Yang

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COMPETENZE CHIAVE PER IL CURRICOLO VERTICALE: L’OPINIONE DEGLI INSEGNANTI E I MATERIALI DIDATTICI by Matteo La Grassa, Monica Barni

“…Inoltre, per rilevare eventuali riferimenti allo sviluppo verticale delle competenze prese in considerazione sono stati presi in esame alcuni libri di testo di italiano utilizzati nell’ultimo anno della scuola primaria e nel primo anno della scuola secondaria di primo grado. In base ai dati raccolti emerge che le competenze chiave indagate rappresentano per i docenti intervistati validi principi ispiratori utili alla realizzazione di percorsi educativi in vari ordini scolastici; la trasversalità e la verticalità sono considerate importanti elementi per lo sviluppo di queste competenze. …”
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Energetic disorder dominates optical properties and recombination dynamics in tin-lead perovskite nanocrystals by Dandan Wang, Yusheng Li, Yongge Yang, Chao Ding, Yuyao Wei, Dong Liu, Hua Li, Huan Bi, Shikai Chen, Sujun Ji, Boyu Zhang, Yao Guo, Huiyun Wei, Hongshi Li, Shuzi Hayase, Qing Shen

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Only IF/TA in the Histological Evaluation of Post-Reperfusion Baseline Biopsies Correlates With Kidney Transplant Outcome by Quirin Bachmann, Carlos Torrez, Maike Büttner-Herold, Bernhard Haller, Flora Haberfellner, Renate Hausinger, Volker Assfalg, Lutz Renders, Kerstin Amann, Uwe Heemann, Christoph Schmaderer, Stephan Kemmner, Stephan Kemmner

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Comparison of different GnRH compounds on fertility outcomes in ovulation synchronized and presynchronized beef cows by Nicola Oosthuizen, Lucas M. Goncalves, Samir Burato, Molly S. Smith, Kelsey M. Harvey, Graham Cliff Lamb, Graham Cliff Lamb, Pedro L. P. Fontes

“…Pregnancy rates to TAI did not differ (P = 0.57) by GnRH compound but differed (P = 0.01) by synchronization protocol, where cows enrolled in the 7&7 had greater PR/AI when compared to those in the 7D (60.9 ± 2.5 vs. 53.9 ± 2.6%, respectively). …”
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Advancements in 3D printing technologies for personalized treatment of osteonecrosis of the femoral head by Tingting Chen, Lincong Luo, Jiaying Li, Jiamin Li, Tao Lin, Mingrui Liu, Hang Sang, Xinyu Hong, Jiahao Pu, Wenhua Huang

“…By introducing gradient porous scaffolds, bioactive material coatings, and AI-assisted design, this work outlines novel strategies to improve bone regeneration and personalized hip-preserving interventions. …”
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Understanding multi-scale ion-transport in solid-state lithium batteries by Wen Yu, Nanping Deng, Yang Feng, Xiaofan Feng, Hengying Xiang, Lu Gao, Bowen Cheng, Weimin Kang, Kai Zhang

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Semantic search helper: A tool based on the use of embeddings in multi-item questionnaires as a harmonization opportunity for merging large datasets – A feasibility study by Karl Gottfried, Karina Janson, Nathalie E. Holz, Olaf Reis, Johannes Kornhuber, Anna Eichler, Tobias Banaschewski, Frauke Nees, IMAC-Mind Consortium

“…Methods Using models like SBERT and OpenAI’s ADA, we developed a prototype application (“Semantic Search Helper”) to facilitate the harmonization process of detecting semantically similar items within extensive health-related datasets. …”
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Integrated transcriptomic hypothalamic-pituitary-ovarian axis network analysis reveals the role of energy availability on egg production in layers by Jianling Peng, Yong Cui, Haiping Liang, Shenyijun Xu, Linjian Weng, Meng Ru, Ramlat Ali, Qing Wei, Jiming Ruan, Jianzhen Huang

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A charge reversal nano-assembly prevents hepatic steatosis by resolving inflammation and improving lipid metabolism by Haoyu Wang, Sheng'e Su, Xin An, Yuan Xu, Jiacheng Sun, Mingming Zhen, Chunru Wang, Chunli Bai

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Exploring Mortality and Prognostic Factors of Heart Failure with In-Hospital and Emergency Patients by Electronic Medical Records: A Machine Learning Approach by Yu CS, Wu JL, Shih CM, Chiu KL, Chen YD, Chang TH

“…To improve the explainability of the AI models, Shapley Additive Explanations methods were also conducted.Conclusion: Exploring HF mortality and its patterns related to clinical risk factors by machine learning models can help physicians make appropriate decisions when monitoring HF patients’ health quality in the hospital.Keywords: mortality, risk factor, cardiovascular disease, multivariate statistical analysis, machine learning, artificial intelligence…”
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Smart design in biopolymer-based hemostatic sponges: From hemostasis to multiple functions by Chen-Yu Zou, Chen Han, Fei Xing, Yan-Lin Jiang, Ming Xiong, Jesse Li-Ling, Hui-Qi Xie

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Common pathogenic aspects of diabetic retinopathy and nephropathy. Kidney transplantation and the course of diabetic retinopathy by I.V. Vorobyeva, L.K. Moshetova, A.V. Pinchuk, Е.V. Bulava, E.P. Delver, A.A. Belogurov

“…Sklifosovskiy Research Institute for Emergency Medical Aid, Moscow, Russian Federation</b> </p> <p> <b>³A.I. Evdokimov Moscow University of Medicine &amp; Dentistry, Moscow, Russian Federation</b> </p> <p> <b>⁴Research Institute of Public Health Organization and Medical Management, Moscow, <br> &nbsp;Russian Federation</b> </p> <p> <b>⁵National Medical Research Center of Cardiology, Moscow, Russian Federation</b> </p> <p> <i>Epidemics of diabetes and its complications is a global threat to the health of human population. …”
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Achieving high strength-ductility synergy in Mg-6Sn-3Zn-0.3Zr (wt.%) alloy via a combination of casting, pre-treatment and hot extrusion by Tianshui Zhou, Yaqin Li, Feifei Guo, Qinglin Li, Zhi Jia, Dexue Liu

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MnS/MnO heterostructures with dual ion defects for high-performance aqueous magnesium ion capacitors by Minghui Liu, Mudi Li, Siwen Zhang, Yaxi Ding, Ying Sun, Jiazhuo Li, Haixi Gu, Bosi Yin, Hui Li, Tianyi Ma

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