Association of cardiometabolic index with gallstone disease and insulin resistance based on NHANES data by Liu Yuan, Shuqi Wang, Dong Wang, Enbo Wang

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An immunotherapy guide constructed by cGAS-STING signature for breast cancer and the biofunction validation of the pivotal gene HOXC13 via in vitro experiments by Zhenling Dai, Ziqun Gu, Rongrong Shen, Jingshuai Wang

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Gender differences in the association between weight-adjusted waist index and migraine: A cross-sectional study. by Shulong Liu, Jiangting Li, Guobo Xie

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Inferring Mechanical Properties of Wire Rods via Transfer Learning Using Pre-Trained Neural Networks by Adriany A. F. Eduardo, Gustavo A. S. Martinez, Ted W. Grant, Lucas B. S. Da Silva, Wei-Liang Qian

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Liver MRI proton density fat fraction inference from contrast enhanced CT images using deep learning: A proof-of-concept study. by Md Nasir, Yixi Xu, Kyle Hasenstab, Alekhya Yechoor, Rahul Dodhia, William B Weeks, Juan Lavista Ferres, Guilherme Moura Cunha

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Association of non-insulin-dependent insulin resistance indices with lower limb artery restenosis after drug-coated balloon angioplasty by Zhentao Qiao, Yuansong Zhuang, Zhiwei Wang

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Optimal mean arterial pressure for favorable neurological outcomes in patients after cardiac arrest by Sijin Lee, Kwang-Sig Lee, Kap Su Han, Juhyun Song, Sung Woo Lee, Su Jin Kim

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Preoperative assessment of tertiary lymphoid structures in stage I lung adenocarcinoma using CT radiomics: a multicenter retrospective cohort study by Xiaojiang Zhao, Yuhang Wang, Mengli Xue, Yun Ding, Han Zhang, Kai Wang, Jie Ren, Xin Li, Meilin Xu, Jun Lv, Zixiao Wang, Daqiang Sun

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The Effect of Nonalcoholic Fatty Liver Disease on Extrahepatic Cancers: Evidence From Population‐Based Cohort and Mendelian Randomization by Wei Wang, Pengfei Sun, Xintian Ren, Tingting Lv, Min Li

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The Potential of SHAP and Machine Learning for Personalized Explanations of Influencing Factors in Myopic Treatment for Children by Jun-Wei Chen, Hsin-An Chen, Tzu-Chi Liu, Tzu-En Wu, Chi-Jie Lu

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The relationship between meaning in life and self-regulated learning among college students: the mediating effect of psychological capital and the moderating effect of phubbing by Wenjing Feng, Peibo Wu, Shuai Lv, Zhaoyuan Fan

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Correlation between EpCAM expression and cervical lymph node metastasis in papillary thyroid carcinoma: a study integrating ultrasonographic features by Xia Zhang, Jie Li, Ming Gao, Yan Zhang

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Prognostic impact of nutritional indicators based on Lasso-Cox regression for non-muscle-invasive bladder cancer by Junjiang Ye, Yandong Xie, Biao Ran, Ping Han

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Resilience and Social–Emotional Expertise as Predictors of Problematic Internet Use Among University Students by Gözde Önal, Turan Emre Özdemir

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Happy-Productive worker thesis: The role of work characteristics, gender, and age. by Jaime A Bayona, William F Durán, Jesús Perdomo-Ortiz, Delio I Castañeda, Carlos A Valencia, Pauline Fatien Diochon, Diego F Alvarado

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CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT by Ahmad Abubakar Mustapha, Mohamed Sirajudeen Yoosuf

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Spectral Evolution of Pickup Ions across Interplanetary Shocks in the Outer Heliosphere: Observational Constraints and Transport Simulations by Weining Wang, Jiansen He, Die Duan, Zhongwei Yang, Linghua Wang, Hui Li

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Quantified Estimation of Molecular Detections across Different Classes of Neptunian Atmospheres Using Cross-correlation Spectroscopy: Prospects for Future Extremely Large Telescope... by Dwaipayan Dubey, Liton Majumdar, Charles Beichman, Geoffrey A. Blake, Gautam Vasisht, Thomas Henning

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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…</a>, <a href="#bib1.bibx5">2024</a><a href="#bib1.bibx5">a</a></span>), the trained model, and the associated codes (<a href="https://doi.org/10.5281/zenodo.13150879">https://doi.org/10.5281/zenodo.13150879</a>, <span class="cit" id="xref_altparen.2"><a href="#bib1.bibx6">Gao et al.…”
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Discovery of liquid crystalline polymers with high thermal conductivity using machine learning by Hayato Maeda, Stephen Wu, Rika Marui, Erina Yoshida, Kan Hatakeyama-Sato, Yuta Nabae, Shiori Nakagawa, Meguya Ryu, Ryohei Ishige, Yoh Noguchi, Yoshihiro Hayashi, Masashi Ishii, Isao Kuwajima, Felix Jiang, Xuan Thang Vu, Sven Ingebrandt, Masatoshi Tokita, Junko Morikawa, Ryo Yoshida, Teruaki Hayakawa

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