Farmers’ Perception of the Impacts of Climate Variability and Change on Food Security in Rubanda District, South Western Uganda by Willbroad, Byamukama, Bello N.J, Omoniyi T.E

“…Climate variability adversely impacts crop production and imposes a major constraint on farming planning, mostly under rain fed conditions across developing countries. …”
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Land cover change mitigated 20 % of the total increased evapotranspiration in tropical Lancang-Mekong River Basin during 2001–2019 by Houbing Chen, Yaoliang Chen, Lamin R. Mansaray, Longwei Li, Shusen Wang

“…LCCs caused a net reduction of 7.44 billion m³ in ET water consumption. …”
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Deep-Learning-Driven Insights into Nitrogen Leaching for Sustainable Land Use and Agricultural Practices by Caixia Hu, Jie Li, Yaxu Pang, Lan Luo, Fang Liu, Wenhao Wu, Yan Xu, Houyu Li, Bingcang Tan, Guilong Zhang

“…A machine learning (ML) model for predicting nitrate leaching was then developed, with the random forest (RF) model outperforming the support vector machine (SVM), extreme gradient boosting (XGBoost), and convolutional neural network (CNN) models, achieving an R² of 0.75. …”
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Epidemiological Features, Clinical Symptoms, and Environmental Risk Factors for Notifiable Japanese Encephalitis in Taiwan From 2008 to 2020: Retrospective Study by Fu-Huang Lin, Yu-Ching Chou, Chi-Jeng Hsieh, Chia-Peng Yu

“… Abstract BackgroundJapanese encephalitis (JE) is a zoonotic parasitic disease caused by the Japanese encephalitis virus (JEV), and may cause fever, nausea, headache, or meningitis. …”
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Machine Learning Models of Acute Kidney Injury Prediction in Acute Pancreatitis Patients by Cheng Qu, Lin Gao, Xian-qiang Yu, Mei Wei, Guo-quan Fang, Jianing He, Long-xiang Cao, Lu Ke, Zhi-hui Tong, Wei-qin Li

“…Acute kidney injury (AKI) has long been recognized as a common and important complication of acute pancreatitis (AP). …”
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In Situ Classification of Original Rocks by Portable Multi-Directional Laser-Induced Breakdown Spectroscopy Device by Mengyang Zhang, Hongbo Fu, Huadong Wang, Feifan Shi, Saifullah Jamali, Zongling Ding, Bian Wu, Zhirong Zhang

“…To facilitate in situ raw rock discrimination analysis, a portable LIBS device was developed specifically for outdoor use. …”
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Diagnosis Osteoporosis Risk: Using Machine Learning Algorithms Among Fasa Adults Cohort Study (FACS) by Saghar Tabib, Seyed Danial Alizadeh, Aref Andishgar, Babak Pezeshki, Omid Keshavarzian, Reza Tabrizi

“…Our objective was to employ a variety of machine learning (ML) techniques to evaluate the accuracy and precision of each method, with the aim of identifying the most accurate pattern for diagnosing the osteoporosis risks. …”
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Ecotoxicological insight of phytochemicals, toxicological informatics, and heavy metal concentration in Tridax procumbens L. in geothermal areas by N.B. Maulydia, R. Idroes, K. Khairan, T.E. Tallei, F. Mohd Fauzi

“…BACKGROUND AND OBJECTIVES: Tridax procumbens L. is a plant that grows abundantly in the Ie-Seu'um geothermal area in Aceh Province, Indonesia. …”
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Autoencoder untuk Sistem Prediksi Berat Lahir Bayi by Fitra Septia Nugraha, Hilman Ferdinandus Pardede

“…On the other hand, to improve the accuracy of a learning process, an accurate prediction is needed for the problem at hand or by using a combination of several methods. …”
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Assessing Glioblastoma Treatment Response Using Machine Learning Approach Based on Magnetic Resonance Images Radiomics: An Exploratory Study by Amirreza Sadeghinasab, Jafar Fatahiasl, Marziyeh Tahmasbi, Sasan Razmjoo, Mohammad Yousefipour

“…ABSTRACT Background and Objectives Assessing treatment response in glioblastoma multiforme (GBM) tumors necessitates developing more objective and quantitative approaches. A machine learning‐based approach is presented in this exploratory study for GBM patients' treatment response assessment based on radiomics extracted from magnetic resonance (MR) images. …”
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Random forest model that incorporates solar-induced chlorophyll fluorescence data can accurately track crop yield variations under drought conditions by Guangpo Geng, Qian Gu, Hongkui Zhou, Bao Zhang, Zuxin He, Ruolin Zheng

“…Furthermore, 2011 was identified as a typical drought year in the winter wheat area of northern China. …”
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Advanced Machine Learning Ensembles for Improved Precipitation Forecasting: The Modified Stacking Ensemble Strategy in China by Tiantian Tang, Yifan Wu, Yujie Li, Lexi Xu, Xinyi Shi, Haitao Zhao, Guan Gui

“…This study proposes an advanced methodology for medium- and long-term hydrological forecasting by integrating multiple machine learning models through a modified stacking ensemble strategy (MSES). We developed and compared five deterministic precipitation forecasting models, including elastic net regression (ENR), support vector regression, random forest, extreme gradient boosting, and light gradient boosting to provide forecasts with lead times ranging from 0 to 5 months at a spatial resolution of 0.5<inline-formula><tex-math notation="LaTeX">$^\circ$</tex-math></inline-formula>. …”
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Perturbations in Microbial Communities at Hydrothermal Vents of Panarea Island (Aeolian Islands, Italy) by Annamaria Gallo, Fabio Sposito, Manfredi Longo, Gianluca Lazzaro, Cinzia Giuseppina Caruso, Sabina Morici, Sergio Scirè Scappuzzo, Slobodanka Radovic, Valeria Villanova, Luca Vecchioni, Marco Arculeo, Rosa Alduina

“…Marine hydrothermal ecosystems represent extreme environments connected to submarine volcanic areas characterized by vents, having high temperatures and particular chemical compositions. …”
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Assessing how pro-environmental perspectives impact participation in rooftop organic agriculture in urban neighborhoods by Mohammad Enamul Hoque, Abdullah Al Mamun, Perengki Susanto

“…Thus, this study focuses on rooftop organic food production as a lens to examine pro-environmental intentions and behaviours. …”
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Evaluation of the Antioxidant and Cytotoxic Activities on Cancer Cell Line of Extracts of Parasitic Plants Harvested in Tunisia by Imen Ben Attia, Paolo Zucca, Flaminia Cesare Marincola, Mariella Nieddu, Alessandra Piras, Antonella Rosa, Antonio Rescigno, Mohamed Chaieb

“…These data suggest that, despite the extreme climate conditions and the damage that can result, the studied desert parasitic plants can represent a novel and precious source of metabolites, with promising biological activities.…”
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Subclinical imaging activity in multiple sclerosis patients during war‐related psychological stress by Omri Zveik, Tal Friedman‐Korn, Ariel Rechtman, Tal Ganz, Garrick Hoichman, Lyne Shweiki, Dana Ekstein, Adi Vaknin‐Dembinsky

“…Abstract Objectives Psychological stress has been suggested as a contributory factor in the onset and progression of multiple sclerosis (MS). …”
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Understanding the Dynamics of Sulfur Droplets Formation in Lean‐Electrolyte and Low‐Temperature Lithium–Sulfur Batteries by Qi Qi, Fangyi Shi, Jingya Yu, Yiyuan Ma, Feiyang Chen, Wei Lv, Wing‐Cheung Law, Shu Ping Lau, Zheng‐Long Xu

“…In addition, under extreme conditions of −20 °C and E/S ratio of 5 µL mg−1, liquid sulfur can still be preserved by following the rapid SOR kinetics. …”
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Data-Driven Model for the Prediction of Total Dissolved Gas: Robust Artificial Intelligence Approach by Mohamed Khalid AlOmar, Mohammed Majeed Hameed, Nadhir Al-Ansari, Mohammed Abdulhakim AlSaadi

“…Saturated total dissolved gas (TDG) is recently considered as a serious issue in the environmental engineering field since it stands behind the reasons for increasing the mortality rates of fish and aquatic organisms. …”
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Static and dynamic assessments of park accessibility and equity across different living circles in shenzhen’s core area by Zhongshan Huang, Qiyue Jia, Shixian Luo, Zhigang Tu, Lei Zhao, Siyuan Li, Zhengyan Lu

“…However, existing studies mainly rely on static population data, neglecting the impact of residents’ dynamic location changes on park accessibility, and lack a systematic analysis across different living circles. …”
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Supraglacial Lake Depth Retrieval from ICESat-2 and Multispectral Imagery Datasets by Quan Zhou, Qi Liang, Wanxin Xiao, Teng Li, Lei Zheng, Xiao Cheng

“…The best accuracy was achieved when extreme gradient boosting was applied to a Sentinel-2 L1C image, with root mean square error, mean absolute error, and median absolute error values of 0.54 m, 0.43 m, and 0.36 m, respectively. …”
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