Toward accurate prediction of carbon dioxide (CO2) compressibility factor using tree-based intelligent schemes (XGBoost and LightGBM) and equations of state by Behnam Amiri-Ramsheh, Aydin Larestani, Saeid Atashrouz, Elnaz Nasirzadeh, Meriem Essakhraoui, Ali Abedi, Mehdi Ostadhassan, Ahmad Mohaddespour, Abdolhossein Hemmati-Sarapardeh

“…Z-factor, also defined as the gas deviation factor, is mathematically explained as the ratio of actual gas volume to that of an ideal gas at a given temperature and pressure. In this study, two powerful and robust tree-based machine learning (ML) algorithms, namely light gradient boosted machine (LightGBM) and extreme gradient boosting (XGBoost) were utilized to precisely estimate CO2 Z-factor. …”
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Advances in machine learning applications to resource technology for organic solid waste by Hongzhi MA, Yichan LIU, Jihua ZHAO, Fan FEI, Ming GAO, Qunhui WANG

“…In contrast, ML can optimize treatment processes, improve resource recovery rates, and enhance decision-making. This study explores a range of commonly used ML models, including artificial neural network (ANN), support vector machine (SVM), decision tree, random forest, and extreme gradient boosting (XGBoost). …”
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Mortality Risk Prediction in Patients With Antimelanoma Differentiation–Associated, Gene 5 Antibody–Positive, Dermatomyositis–Associated Interstitial Lung Disease: Algorithm Develo... by Hui Li, Ruyi Zou, Hongxia Xin, Ping He, Bin Xi, Yaqiong Tian, Qi Zhao, Xin Yan, Xiaohua Qiu, Yujuan Gao, Yin Liu, Min Cao, Bi Chen, Qian Han, Juan Chen, Guochun Wang, Hourong Cai

“…ObjectiveThis study aimed to develop and validate a risk prediction model of 3-month mortality using machine learning (ML) in a large multicenter cohort of patients with anti-MDA5+DM-ILD in China. …”
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L’infanticide féminin en question chez les Gaulois du Midi : l’apport des analyses ADN sur les nouveau-nés enterrés dans les habitats de l’âge du Fer by Bernard Dedet, Henri Duday, Philippe Gruat, Mélanie Pruvost

“…Currently, more than 150 individuals, mainly foetuses and perinatal individuals, as well as a few, very rare, young infants, all under six months of age, are attested to and come from approximately 30 habitats in southern France, ranging from the extreme end of the Bronze Age to the end of the Iron Age. …”
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Analyzing power errors in the optical pumping system of atomic spin comagnetometers by Jiale QUAN, Ye LIU, Longyan MA, Wenfeng FAN, Wei QUAN

“…The spin exchange relaxation-free (SERF) atomic comagnetometer is a highly sensitive device designed to measure rotation rates with extreme precision. …”
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Chromosome-level reference genome and annotation of the Arctic fish Anisarchus medius by Ruoyu Liu, Ziyu Meng, Yinan Mu, Ran Zhang, Hanhui Ma, Jingjing Hu, Yanan Wang, Yuxin Shi, Yanan Li, Chaofeng Wang, Weini Zhang, Longshan Lin, Ping Zheng, Xinhua Chen

“…Molecular pathway related to the endocrine system, carbohydrate metabolism, folding, sorting, and degradation, signal transduction, and transport and catabolism contribute to A. medius adaptation to extreme Arctic environments. …”
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Genomic selection strategies to overcome genotype by environment interactions in biosecurity-based aquaculture breeding programs by Ziyi Kang, Jie Kong, Qi Li, Juan Sui, Ping Dai, Kun Luo, Xianhong Meng, Baolong Chen, Jiawang Cao, Jian Tan, Qiang Fu, Qun Xing, Sheng Luan

“…However, these programs may exhibit a reduced genetic gain in the presence of a genotype by environment interactions (G × E) when employing biosecurity-based breeding schemes (BS), compared to non-biosecurity-based breeding schemes (NBS). …”
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Risk Factors for Gastrointestinal Bleeding in Patients With Acute Myocardial Infarction: Multicenter Retrospective Cohort Study by Yanqi Kou, Shicai Ye, Yuan Tian, Ke Yang, Ling Qin, Zhe Huang, Botao Luo, Yanping Ha, Liping Zhan, Ruyin Ye, Yujie Huang, Qing Zhang, Kun He, Mouji Liang, Jieming Zheng, Haoyuan Huang, Chunyi Wu, Lei Ge, Yuping Yang

“…Propensity score matching was adjusted for demographics, and the Boruta algorithm identified key predictors. A total of 7 ML algorithms—logistic regression, k-nearest neighbors, support vector machine, decision tree, random forest (RF), extreme gradient boosting, and neural networks—were trained using 10-fold cross-validation. …”
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Borrelia burgdorferi radiosensitivity and Mn antioxidant content: antigenic preservation and pathobiology by Andrés F. Londoño, Ajay Sharma, Jared Sealy, Vipin S. Rana, Shelby D. Foor, Vera Y. Matrosova, Elena K. Gaidamakova, Robert P. Volpe, Michael J. Daly, Brian M. Hoffman, Utpal Pal, J. Stephen Dumler

“…ABSTRACT The bacterium responsible for Lyme disease, Borrelia burgdorferi, accumulates high levels of manganese without iron and possesses a polyploid genome, characteristics suggesting potential extreme resistance to radiation. …”
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The effect of low donor-to-recipient body weight ratio on graft survival after dual kidney transplantation from pediatric deceased donors by Mingchuan Huang, Shenghui Wu, Pengfei Gao, Li Zhou, Qian Fu, Chenglin Wu, Huanxi Zhang, Yitao Zheng, Xiaojun Su, Wenrui Wu, Jinghong Tan, Qiang Zhang, Pei Xia, Zhe Xu, Longshan Liu, Jun Li, Changxi Wang

“…This study investigates the prognosis of DKT from pediatric deceased donors, and influencing factors.Method A retrospective study included recipients who underwent DKT from pediatric donors between 2012 and 2022. …”
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Effect of Dietary Vitamin C Ascorbic Acid on the Growth Performance and Immune Response of Betok Anabas testudineus Bloch by . Sunarto, . Suriansyah, . Sabariah

“… Vitamin C has a function for increasing normal growth, preventing bone annomaly for seed health or reducing stress, accelerating wound recovery and improving immune system against bacterial infection. …”
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Joint effects of temperature and humidity with PM2.5 on COPD by Huan Minh Tran, Feng-Jen Tsai, Yuan-Hung Wang, Kang-Yun Lee, Jer-Hwa Chang, Chi-Li Chung, Chien-Hua Tseng, Chien-Ling Su, Yuan-Chien Lin, Tzu-Tao Chen, Kuan-Yuan Chen, Shu-Chuan Ho, Feng-Ming Yang, Sheng-Ming Wu, Kian Fan Chung, Kin-Fai Ho, Kai-Jen Chuang, Hsiao-Chi Chuang

“…Results We observed that a 1 µg/m3 increase in PM2.5 7-day and 1-month mean was associated with a 1.05-fold and 1.06-fold increase in OR of COPD (p < 0.05). …”
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Changes of Narrative: Osvald Sirén’s Photographic Modeling of Modern Research on Chinese Garden by Jiuwen GU, Yuanfeng SHI, Shan JIA

“…As an emerging image material and a way to understand and review gardens, photography has driven a shift in gardening research, with the underlying mechanisms being investigated in this research. …”
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Human Capital, Economic Growth and Environmental Quality with Special Emphasis on Public Education Expenditures: An Application of DSGE Models by Yahya Mohaghegh, hashem zare, Mehrzad Ebrahimi

“…As a policy recommendation, in addition to paying attention to education and its role in the development of human capital as a long-term investment, improving the quality of institutions should be considered…”
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Le Proyecto Mono Tocon : recherche, éducation et conservation, au Pérou by Audrey Gaultier, Rosario Huashuayo‑Llamocca, Antonio Boveda‑Penalba, Jan Vermeer

“…Le principal objectif du PMT est donc de sauvegarder cette espèce en développant des activités de recherche scientifique, de conservation et d’éducation à l’environnement. Dans la région de San Martin, le besoin en terres agricoles aboutit à un taux de déboisement extrême. …”
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Predicting the risk of heart failure after acute myocardial infarction using an interpretable machine learning model by Qingqing Lin, Qingqing Lin, Wenxiang Zhao, Wenxiang Zhao, Hailin Zhang, Hailin Zhang, Wenhao Chen, Sheng Lian, Qinyun Ruan, Qinyun Ruan, Zhaoyang Qu, Zhaoyang Qu, Yimin Lin, Yimin Lin, Dajun Chai, Dajun Chai, Dajun Chai, Dajun Chai, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin, Xiaoyan Lin

“…The primary endpoint was the occurrence of HF within 3 years after operation. For developing a predictive model for HF risk in AMI patients, the least absolute shrinkage and selection operator (LASSO) Regression was used to feature selection, and four ML algorithms including Random Forest (RF), Extreme Gradient Boost (XGBoost), Support Vector Machine (SVM), and Logistic Regression (LR) were employed to develop the model on the training set. …”
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Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA19... by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

“…Methods We retrospectively collected data from 70 patients with locally advanced pancreatic cancer who had undergone a biopsy for pathological diagnosis. These patients had complete baseline enhanced CT images and baseline CA199 results. …”
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Phasic and periodic change of drought under greenhouse effect by Yang Li, Zhicheng Zheng, Yaochen Qin, Haifeng Tian, Zhixiang Xie, Peijun Rong

“…It can lead to crop reduction and even pose a threat to human survival in environmentally sensitive areas of China (ESAC). …”
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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…ObjectiveAgainst the background of rapid urbanization and global warming, Wuhan is frequently hit by extreme heat events, which not only poses a serious threat to the health status of local residents, but also brings great losses to socio-economic development. …”
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Exploring the effect of cold stress on the semen quality parameters of buffalo bulls by Karpenahalli Ranganatha Sriranga, Pawan Singh, Ravinder Singh, Tejeshwari Satpute, Prince Vivek, Tushar Kumar Mohanty, Pradeep Kumar, Ranjit Singh Kataria, Megha Pande, Manishi Mukesh

“…In conclusion, frigid temperatures also contribute as a stress factor, further leading to a significant reduction in the semen quality of buffalo bulls. …”
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