A case study on the application of a data-driven (XGBoost) approach on the environmental and socio-economic perspectives of agricultural groundwater management by Sheng-Wei Wang, Yen-Yu Chen, Shu-Han Hsu, Yu-Hsuan Kao, Masaomi Kimura, Li-chiu Chang, Tzi-Wen Pan, Chuen-Fa Ni

“…While reducing groundwater over-extraction can alleviate this issue, it may also compromise agricultural productivity, particularly during drought conditions. …”
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Modeling cultural ecosystem services (Case study: Recreational Ecosystem Services in Behbahan county) by Fatemeh Mohammadyari, Hamid Reza Pourkhabbaz, Shabnam Gholami Chaleshtari

“…The image was prepared with the maximum Likelihood algorithm in 12 class. Outdoor recreation was also modeled by the Recreational Opportunity Spectrum (ROS) method. …”
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The transfer of antibiotic resistance genes between evolutionarily distant bacteria by Marcos Parras-Moltó, David Lund, Stefan Ebmeyer, D. G. Joakim Larsson, Anna Johnning, Erik Kristiansson

“…In this study, we aimed to systematically analyze the ARGs transferred between the most evolutionarily distant bacteria, defined here based on their phylum. We implemented an algorithm that identified inter-phylum transfers (IPTs) by combining ARG-specific phylogenetic trees with the taxonomy of the bacterial hosts. …”
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Predicting the impact of patient and private provider behavior on diagnostic delay for pulmonary tuberculosis patients in India: A simulation modeling study. by Sarang Deo, Simrita Singh, Neha Jha, Nimalan Arinaminpathy, Puneet Dewan

“…<h4>Conclusions</h4>In this study, we found that encouraging private providers to order definitive TB diagnostic tests earlier during patient consultation may have substantial impact on reducing diagnostic delay in these urban Indian settings. …”
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Analysis of changes in the genome of the Omsk hemorrhagic fever virus (Flaviviridae: <i>Orthoflavivirus</i>) during laboratory practices for virus preservation by Zhanna S. Tyulko, Artem V. Fadeev, Aleksei G. Vasilenko, Ekaterina A. Gradoboeva, Valerii V. Yakimenko, Andrey B. Komissarov

“…In the phylogenetic analysis, the relaxed clock algorithm of the BEAST program was used. Results. …”
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Using Machine Learning to Predict Outcomes Following Transfemoral Carotid Artery Stenting by Ben Li, Naomi Eisenberg, Derek Beaton, Douglas S. Lee, Leen Al‐Omran, Duminda N. Wijeysundera, Mohamad A. Hussain, Ori D. Rotstein, Charles de Mestral, Muhammad Mamdani, Graham Roche‐Nagle, Mohammed Al‐Omran

“…Outcome prediction tools may help guide clinical decision‐making but remain limited. …”
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Therapeutic Implications of Menin Inhibitors in the Treatment of Acute Leukemia: A Critical Review by Martina Canichella, Cristina Papayannidis, Carla Mazzone, Paolo de Fabritiis

“…We discuss their efficacy, safety profiles, and potential roles within the current treatment algorithm. The continued clinical evaluation of menin inhibitors may redefine treatment paradigms for <i>NPM1</i>m and <i>KMT2A</i>r AML and other acute leukemia with the aberrant <i>MEIS1-HOXA</i> axis, offering new hope for patients with limited therapeutic options.…”
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Terahertz Meta-Holograms Reconstruction Based on Compressed Sensing by Mengyuan Hu, Zhen Tian, Xieyu Chen, Xingye Yang, Zhihao Yi, Qiu Wang, Chunmei Ouyang, Jianqiang Gu, Jiaguang Han, Weili Zhang

“…The demonstrated combination of terahertz holography and single-pixel compressed sensing imaging provides new possibilities for metasurface imaging, verifies the stability of terahertz single-pixel imaging, and the scheme may lead to advances in fast terahertz imaging.…”
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Association between atherogenicity indices and prediabetes: a 5-year retrospective cohort study in a general Chinese physical examination population by Xianli Qiu, Yong Han, Changchun Cao, Yuheng Liao, Haofei Hu

“…While the predictive performance of these indices is modest (AUC 0.55–0.68), these findings may contribute to improved risk stratification when incorporated into comprehensive assessment strategies.…”
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Data-driven thrust prediction in applied-field magnetoplasmadynamic thrusters for space missions using artificial intelligence-based models by Tarik Pinaffo Almeida, Shahin Alipour Bonab, Mohammad Yazdani-Asrami

“…This can potentially become a fundamental component of AF-MPDT designing software, whereby it may be used to check a configuration’s functionality, applicability and feasibility all in a few milliseconds. …”
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Thermally Induced Ion Magnetic Moment in H₄O Superionic State by Xiao Liang, Junhao Peng, Fugen Wu, Renhai Wang, Yujue Yang, Xingyun Li, Huafeng Dong

“…One-dimensional diffusion of ions may generate magnetic fields. We refer to these two types of magnetic moments as “thermally induced ion magnetic moments”. …”
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Predicting knee osteoarthritis progression using neural network with longitudinal MRI radiomics, and biochemical biomarkers: A modeling study. by Ting Wang, Hao Liu, Wenbo Zhao, Peihua Cao, Jia Li, Tianyu Chen, Guangfeng Ruan, Yan Zhang, Xiaoshuai Wang, Qin Dang, Mengdi Zhang, Alexander Tack, David Hunter, Changhai Ding, Shengfa Li

“…Using the eXtreme Gradient BOOSTing (XGBOOST) algorithm, the model was developed in the total development cohort (n = 877) and tested in the total test cohort (n = 876). …”
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The Influence of Process and Slag Parameters on the Liquid Slag Layer in Continuous Casting Mold for Large Billets by Zhijun Ding, Chao Wang, Xin Wang, Pengcheng Xiao, Liguang Zhu, Shuhuan Wang

“…In the continuous casting of special steel blooms, low casting speeds result in slow renewal of the molten steel surface in the mold, adversely affecting mold flux melting and liquid slag layer supply, which may lead to surface cracks, slag entrapment, and breakout incidents. …”
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Clinical portrait of an "ordinary" patient with benign prostatic hyperplasia and the efficacy of treating lower urinary tract symptoms by V. L. Medvedev, M. E. Efremov, P. V. Shornikov, D. S. Isayeva

“…To determine the clinical portrait of an "ordinary" patient with benign prostatic hyperplasia and develop an algorithm for improving the efficacy of treating lower urinary tract symptoms in benign prostatic hyperplasia.Materials &amp; methods. …”
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Economic evaluation of a novel genetic screening test for risk of venous thromboembolism compared with standard of care in women considering combined hormonal contraception in Swit... by Zanfina Ademi, C Simone Sutherland, Matthias Schwenkglenks, Nadine Schur, Joëlle Michaud, Myriam Lingg, Arjun Bhadhuri, Thierry D. Pache, Johannes Bitzer, Pierre Suchon, Valerie Albert, Kurt E. Hersberger, Goranka Tanackovic

“…Our results were generally robust to variations in the parameter values.Conclusions The PP test may be cost effective in Switzerland for screening women seeking CHCs for their risk of VTE based on the current evidence.…”
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Delayed emergencies: The composition and magnitude of non‐respiratory emergency department visits during the COVID‐19 pandemic by Ari B. Friedman, Deidre Barfield, Guy David, Thomas Diller, Candace Gunnarson, Miao Liu, Benjamin V. Vicidomina, Ruthann Zhang, Yuan Zhang, Somesh C. Nigam

“…Abstract Importance COVID‐19 has been associated with excess mortality among patients not diagnosed with COVID‐19, suggesting disruption of acute health care provision may play a role. Objective To determine the degree of declines in emergency department (ED) visits attributable to COVID‐19 and determine whether these declines were concentrated among patients with fewer comorbidities and lower severity visits. …”
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Identifying neurobiological heterogeneity in clinical high-risk psychosis: a data-driven biotyping approach using resting-state functional connectivity by Xiaochen Tang, Yanyan Wei, Jiaoyan Pang, Lihua Xu, Huiru Cui, Xu Liu, Yegang Hu, Mingliang Ju, Yingying Tang, Bin Long, Wei Liu, Min Su, Tianhong Zhang, Jijun Wang

“…Functional connectivity (FC) features that were correlated with symptom severity were subjected to the single-cell interpretation through multikernel learning (SIMLR) algorithm in order to identify latent homogeneous subgroups. …”
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Integrative single-cell and exosomal multi-omics uncovers SCNN1A and EFNA1 as non-invasive biomarkers and drivers of ovarian cancer metastasis by Liping Tang, Dong Pang, Chengbang Wang, Jiali Lin, Shaohua Chen, Jiangchun Wu, Junqi Cui

“…We then applied ten machine learning algorithm to exosomal transcriptomic data to evaluate diagnostic performance and identify the optimal classifier. …”
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Association of estimated glucose disposal rate with atrial fibrillation, heart failure and cardiovascular mortality in patients with diabetes: a prospective cohort study from the U... by Zhen Tan, Yijun Liu, Lei Liu, Shuang Li, Xinrui Xue, Xiaoping Li, Hongqiang Ren

“…Polygenic Risk Score (PRS) analysis evaluated the joint effects of eGDR and PRS. Boruta algorithm filtered key predictive variables. Subgroup analysis was performed using cardiovascular high-risk factors, and mediation analysis explored the relationships of eGDR with the outcomes.ResultsSubjects with higher eGDR were more likely to be female, younger, more physically active, non-smoker, and non-drinker. …”
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Assessing individual genetic susceptibility to metabolic syndrome: interpretable machine learning method by Tao Huang, Yuanyuan Li, Simin Wang, Shijie Qiao, Xiujuan Zheng, Wenhui Xiong, Menghan Yang, Xirui Huang, Bizhen Gao

“…The XGBoost-based SHAP algorithm not only elucidated the global effects of 17 SNPs across all samples, but also described the interaction between SNPs, providing a visual representation of how SNPs impact the prediction of MetS in an individual. …”
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