GPR65 is a novel immune biomarker and regulates the immune microenvironment in lung adenocarcinoma by Hanxu Zhou, Zhi Chen, Shuang Gao, Chaoqun Lian, Junjie Hu, Jin Lu, Lei Zhang

“…We screened differential genes (DEGs) in the immune and stromal components, and then screened modular genes by the WGCNA algorithm, which were intersected with DEGs and incorporated into the LASSO-COX regression model. …”
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Global trends and interdisciplinary insights in Tai Chi research: a bibliometric analysis (2004–2024) by Bei Li, Xiwei Zhu, Xiwei Zhu, Xiwei Zhu, Haoli Zhang, Su Zhang, Yanwei Li, Shuxi Wu, Shuxi Wu, Shuxi Wu, Jie Han, Jie Han, Jie Han

“…Key findings include a 40% reduction in fall risk (RR = 0.60, 95% CI: 0.52–0.69) and a 33% improvement in sleep quality (p < 0.001) among elderly practitioners. …”
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Artificial intelligence and anti-cancer drugs' response by Xinrui Long, Kai Sun, Sicen Lai, Yuancheng Liu, Juan Su, Wangqing Chen, Ruhan Liu, Xiaoyu He, Shuang Zhao, Kai Huang

“…This review aims to comprehensively summarize the research progress in utilizing AI algorithms to analyze multi-omics data including genomics, transcriptomics, epigenomics, proteomics, metabolomics, radiomics, and histopathology, for predicting cancer drug resistance. …”
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Coherent beam combining of two all-PM thulium-doped fiber chirped pulse amplifiers by Bo Ren, Hongxiang Chang, Can Li, Tao Wang, Kaikai Jin, Jiayi Zhang, Kun Guo, Rongtao Su, Jinyong Leng, Pu Zhou

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Arterial hypertension in kidney transplant recipients: pathophysiology, diagnostics, treatment by M. Sh. Khubutiya, F. M. Musaeva, T. A. Kanunova, O. N. Rzhevskaya, A. G. Balkarov, Kh. G. Alidzhanova

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A stacked learning framework for accurate classification of polycystic ovary syndrome with advanced data balancing and feature selection techniques by Heba M. Emara, Walid El-Shafai, Naglaa F. Soliman, Abeer D. Algarni, Reem Alkanhel, Fathi E. Abd El-Samie

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Computational analysis of reproducibility and image quality of 2011 and 2017 models of Heidelberg Spectralis SD-OCT machines by Kyoung A Viola Lee, Corey Tesdahl, Keith Zimmerman, Kimberly Jun, Sabrina Khalil, Alexander Shahin, Abdullah Abou-Samra, Ramesh Ayyala, Radouil Tzekov

“…Methods and testing: TRT measurements were performed using the Posterior Pole Algorithm (PPA) and Early Treatment Diabetic Retinopathy Study (ETDRS) grid protocols. …”
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Design approach of an aquaculture cage system for deployment in the constructed channel flow environments of a power plant. by Taeho Kim, Jihoon Lee, David W Fredriksson, Judson DeCew, Andrew Drach, Solomon C Yim

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Vitellogenin-like A-associated shifts in social cue responsiveness regulate behavioral task specialization in an ant. by Philip Kohlmeier, Barbara Feldmeyer, Susanne Foitzik

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Temporal trends in the incidence of adverse effects of medical treatment in BRICS countries from 1990 to 2021: an age-period cohort analysis by Xingmin Wei, Xingmin Wei, Lu Jiang, Zhidong Zhang, Longjian Shang, Kun Liu, Xiaoang Qin, Gaoheng Ding, Lu Liu, Jianjun Wu

“…Regarding cohort risk, all nations demonstrated a reduction over time, except for Brazil and Russia, where cohort relative risk increased significantly.ConclusionOver the past three decades, divergent trends in AEMT incidence have been observed across the BRICS nations. …”
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PREDICATIVE ARRANGEMENT OF NATIONAL ANTHEM TEXTS IN ENGLISH- AND GERMAN- SPEAKING COMMUNITIES by Anatoliy M. Prykhodko, Nataliia V. Lazebna

“…These features determine the predicative algorithm for their function in public communication. …”
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Rethinking Conservation and Restoration Strategies of Endangered and Key Medicinal Clavicarpa Plants in Yunnan‐Kweichow Plateau's Karst Areas Under Climate Change by Chao Luo, Baiyang He, Yulu Wu, Yuteng Xue, Huang Deng, Shanman Li, Xianghong Dong, Litang Lu

“…To mitigate these threats, the Maxent algorithm was employed to analyze current and future distribution patterns, with a particular focus on the influence of climate variables in predicting potential distribution shifts and assessing extinction risks under the optimistic SSP1‐2.6 and the pessimistic SSP5‐8.5 socioeconomic scenarios. …”
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Multi-objective optimization of EMS facilities using multi-source data: A case study in Dangtu, China by Jinze Li, Xiao Wang, Qiyan Zhang, Peng Tang

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Clinical efficacy of peek patient-specific implants in orbital reconstruction by Yurii Chepurnyi, PhD, Denis Chernogorskyi, Andrey Kopchak, DDs, DM, Oksana Petrenko, MD, DMs

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Automatic generation of high-quality building samples using OpenStreetMap and deep learning by Ming Zhao, Chenxiao Zhang, Zhen Gu, Zhipeng Cao, Chuanwei Cai, Zhaoyan Wu, Lianlian He

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INNSE: Invertible neural network-based DNA image storage with self-correction encoding by Yanfen Zheng, Xiaokang Zhang, Lijun Sun, Ben Cao, Bin Wang, Qiang Zhang, Pan Zheng

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Enhancing resilience of distribution system under extreme weather: Two-stage energy storage system configuration strategy based on robust optimization by Ye He, Hongyun Fu, Andrew Y. Wu, Hongbin Wu, Ming Ding

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The resolution of the Expert Council ”Possibilities of risk modification in patients with oncological diseases of the head and neck organs” by A. V. Rozanov, A. P. Polyakov, D. G. Zaridze, M. A. Kropotov, Yu. V. Alymov, S. I. Kutukova, E. V. Gushanskaya

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The Milky Way Radial Metallicity Gradient as an Equilibrium Phenomenon: Why Old Stars Are Metal Rich by James W. Johnson, David H. Weinberg, Guillermo A. Blanc, Ana Bonaca, Gwen C. Rudie, Yuxi (Lucy) Lu, Bronwyn Reichardt Chu, Emily J. Griffith, Tawny Sit, Jennifer A. Johnson, Liam O. Dubay, Miqaela K. Weller, Daniel A. Boyea, Jonathan C. Bird

“…This constancy challenges current models of Galactic chemical evolution, which typically predict lower metallicities for older stellar populations. …”
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A blood-based screening tool for Alzheimer's disease that spans serum and plasma: findings from TARC and ADNI. by Sid E O'Bryant, Guanghua Xiao, Robert Barber, Ryan Huebinger, Kirk Wilhelmsen, Melissa Edwards, Neill Graff-Radford, Rachelle Doody, Ramon Diaz-Arrastia, Texas Alzheimer's Research & Care Consortium, Alzheimer's Disease Neuroimaging Initiative

“…<h4>Design, setting, participants</h4>Analysis of serum biomarker proteins were conducted on 197 Alzheimer's disease (AD) participants and 199 control participants from the Texas Alzheimer's Research Consortium (TARC) with further analysis conducted on plasma proteins from 112 AD and 52 control participants from the Alzheimer's Disease Neuroimaging Initiative (ADNI). The full algorithm was derived from a biomarker risk score, clinical lab (glucose, triglycerides, total cholesterol, homocysteine), and demographic (age, gender, education, APOE*E4 status) data.…”
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