The non-linear association between remnant cholesterol/high-density lipoprotein cholesterol ratio and diabetic retinopathy: a cross-sectional study in type 2 diabetic patients by Cuimei Wei, Yaohui Huang, Ping Xi, Zhilan Shen, Wenjing Liu, Tong Li, Gang Chen, Xiaohua Xiao, Haofei Hu

“…Interestingly, we did discover a non-linear association between the RC/HDL-c ratio and DR. Employing a two-piece logistic regression model and a recursive algorithm, we identified an inflection point at 0.460. …”
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The CD163 + tissue-infiltrating macrophages regulate ferroptosis in thyroid-associated ophthalmopathy orbital fibroblasts via the TGF-β/Smad2/3 signaling pathway by Xuemei Li, Siyi Wang, Hanwen Cao, Simin Xu, Chao Xiong, Jinhai Yu, Yunxiu Chen, Zhangjun Ren, Min Li, Ying Hu, Puying Gan, Qihua Xu, Yaohua Wang, Hongfei Liao

“…Abstract Background Thyroid-associated ophthalmopathy (TAO) is a thyroid function-related, organ-specific autoimmune disease that primarily leads to specific reactive changes and tissue remodeling in the periocular region. …”
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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

“…BackgroundMultifaceted factors play a crucial role in the prevention and treatment of metabolic dysfunction-associated steatotic liver disease (MASLD). …”
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Machine learning models using non-invasive tests & B-mode ultrasound to predict liver-related outcomes in metabolic dysfunction-associated steatotic liver disease by Heather Mary-Kathleen Kosick, Chris McIntosh, Chinmay Bera, Mina Fakhriyehasl, Mohamed Shengir, Oyedele Adeyi, Leila Amiri, Giada Sebastiani, Kartik Jhaveri, Keyur Patel

“…Abstract Advanced metabolic-dysfunction-associated steatotic liver disease (MASLD) fibrosis (F3-4) predicts liver-related outcomes. …”
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Identification and Characterization of Genes Associated with Intestinal Ischemia-Reperfusion Injury and Oxidative Stress: A Bioinformatics and Experimental Approach Integrating Hig... by Xie Y, Yang M, Huang J, Jiang Z

“…Oxidative stress plays a critical role in this process, instigating inflammation and cell death. …”
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Development of a tertiary lymphoid structure-based prognostic model for breast cancer: integrating single-cell sequencing and machine learning to enhance patient outcomes by Xiaonan Zhang, Li Li, Xiaoyu Shi, Yunxia Zhao, Zhaogen Cai, Ni Ni, Di Yang, Zixin Meng, Xu Gao, Li Huang, Tao Wang

“…Using single-cell RNA sequencing and machine learning algorithms, we identified critical TLS-associated genes and developed a TLS-based predictive model. …”
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Muses or Stereotypes? Identifying Historical Patterns of Sexism in a Corpus of Brazilian Lyrics by Janaina Nogueira de Souza Lopes, Vitória Pereira Firmino, Valéria Quadros dos Reis

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Robust optimization of multi-regional truck scheduling for China-ASEAN cross-border container drayage by Jie He, Zhiming Fang, Xintong Yan, Yuntao Ye, Hao Zhang, Changjian Zhang

“…Container drayage plays an important role in realizing cargo pickup and delivery between container yards and customers. …”
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The PM_2.5-Bound Polycyclic Aromatic Hydrocarbon Behavior in Indoor and Outdoor Environments, Part III: Role of Environmental Settings in Elevating Indoor Concentrations... by Gordana Jovanović, Mirjana Perišić, Timea Bezdan, Svetlana Stanišić, Kristina Radusin, Aleksandar Popović, Andreja Stojić

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Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive e... by Yan Hong, Xinrong Chen, Ling Wang, Fan Zhang, ZiYing Zeng, Weining Xie

“…BackgroundMetabolic dysfunction-associated fatty liver disease (MAFLD) is a prevalent and progressive liver disorder closely linked to obesity and metabolic dysregulation. …”
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Dynamic forecasting module for chronic graft-versus-host disease progression based on a disease-associated subpopulation of B cells: a multicenter prospective studyResearch in cont... by Yuanchen Ma, Jieying Chen, Zhiping Fan, Jiahao Shi, Gang Li, Xiaobo Li, Tao Wang, Na Xu, Jialing Liu, Zhishan Li, Heshe Li, Xiaoran Zhang, Dongjun Lin, Wu Song, Qifa Liu, Weijun Huang, Xiaoyong Chen, Andy Peng Xiang

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On the Convergence of the Yosida–Cayley Variational Inclusion Problem with the XOR Operation and Inertial Extrapolation Scheme by Arifuzzaman, Syed Shakaib Irfan, Iqbal Ahmad

“…This article studies the structure and properties of real-ordered Hilbert spaces, highlighting the roles of the XOR and XNOR logical operators in conjunction with the Yosida and Cayley approximation operators. …”
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Single cell transcriptomic analysis reveals tumor immune infiltration by macrophage cells gene signature in lung adenocarcinoma by Xiaotong Guo, Youjun Deng, Wenjun Jiang, Heng Li, Yisheng Luo, Huachuan Zhang, Hao Wu

“…Abstract Background Tumor-associated macrophages (TAMs) play pivotal roles in innate immunity and contribute to the advancement of lung cancer. …”
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Identification and Validation of Circadian Rhythm‐Related Genes Involved in Intervertebral Disc Degeneration and Analysis of Immune Cell Infiltration via Machine Learning by Yongbo Zhang, Liuyang Chen, Sheng Yang, Rui Dai, Hua Sun, Liang Zhang

“…Recent research has emphasized the significant role of circadian rhythms (CRs) and immunity in affecting intervertebral discs (IVD). …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…In genomics, a critical challenge is identifying genomic factors that collaboratively influence disease-associated genes. Enhancer–promoter interactions play a key role in gene regulation, and accurately predicting these elements is essential for developing tailored therapeutic strategies. …”
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A Proposed Vision for Using Artificial Intelligence in Enhancing Strategic Value of Human Resources by Nadera Hourani

“…Yet, there are significant challenges in the form of algorithmic bias, data privacy concerns, and organizational readiness. …”
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Social Media as a New Communication Platform in the Context of the Information Eco Strategy by Halyna Bryikhanova, Veronika Zaitseva, Iryna Gamova, Diana Fayvishenko

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Using correlative science, open access big data and ensemble machine learning to track contamination signals in the wild: A first landscape-scale prediction for the Himalayan vultu... by Dikpal Krishna Karmacharya, Ganesh Puri, Ganga Ram Regmi, Madan Krishna Suwal, Falk Huettmann

“…Summarized with a workflow, here we present the first correlational Big Data mining approach using Open Access Data for vultures and associated GIS layers in the Old World. We used latest machine learning algorithms to obtain the best possible prediction for inference. …”
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AI IS LEARNING HOW TO WRITE. ETHICAL PROBLEMS FOR JOURNALISM by Dan Valeriu VOINEA

“…Key issues identified include the potential for disseminating misinformation due to AI "hallucinations," the risk of perpetuating or amplifying societal biases embedded in training data, the critical need for transparency and disclosure regarding AI authorship, complexities surrounding accountability for algorithmic outputs, and concerns about labor displacement and the changing roles of journalists. …”
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The miR-941/FOXN4/TGF-β feedback loop induces N2 polarization of neutrophils and enhances tumor progression of lung adenocarcinoma by Xiaojing Zhang, Xitong Huang, Xianying Zhang, Lichang Lai, Baoyi Zhu, Peibin Lin, Zhanfang Kang, Dazhong Yin, Dongbo Tian, Zisheng Chen, Jun Gao

“…Dysregulation of miRNA activity in tumor-associated neutrophils (TANs) in the tumor microenvironment plays an important role in the occurrence and development of LUAD.MethodIn this study, the miReact algorithm was used to analyze the single-cell RNA sequencing data of LUAD samples to reveal the miRNA profile characteristics of TANs in LUAD patients. …”
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