Co-benefits for cropland yield, nitrogen emissions, and climate impact through multi-objective optimization agricultural manure solutions by Yinghua Yin, Shufang Guo, Qiyu Xu, Jian Liu, Hongyuan Wang, Yanhua Zhuang, Zhen Wang, Lingling Hua, Hongbin Liu, Limei Zhai

“…Here, we employed genetic algorithms and meta-analysis to obtain an optimal substitution rate for major crops in China. …”
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DOA Estimation Method for Vector Hydrophones Based on Sparse Bayesian Learning by Hongyan Wang, Yanping Bai, Jing Ren, Peng Wang, Ting Xu, Wendong Zhang, Guojun Zhang

“…Through extensive literature review, it has been found that sparse Bayesian learning (SBL) is mainly applied to traditional scalar hydrophones and is rarely applied to vector hydrophones. …”
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Examining associations between street vegetation and child firearm violence at microgeographic locations in 3 US cities: a case-control study by Zihan Lin, Gregory A. Wellenius, Jonathan Jay

“…For each location, we applied deep learning algorithms to Google Street View images to classify street vegetation into tall (mainly tree) and short (mainly grass and shrubs). …”
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A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading by Asma Sattar, Amna Sarwar, Saira Gillani, Maryam Bukhari, Seungmin Rho, Muhammad Faseeh

“…Algorithmic stock trading has improved tremendously, with Reinforcement Learning (RL) algorithms being more adaptable than classic approaches like mean reversion and momentum. …”
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Pertinence of contact duration as edge feature for epidemic spread analysis by Ramya D. Shetty, Shrutilipi Bhattacharjee

“…Existing studies consider the edges mostly equally while designing the algorithms for the unweighted contact networks, where each connection explicitly shows whether the individuals are in contact or not. …”
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Paraneoplastic Leser-Trélat Syndrome: Clinical Manifestations, Diagnosis and Treatment by T. A. Gaydina, A. S. Dvornikov, P. A. Skripkina

“…Dermatological paraneoplastic syndromes require further in-depth study to understand the pathogenesis, create a clear classification and develop algorithms for the doctor’s actions in case of their detection.…”
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Modelling penetration testing with reinforcement learning using capture‐the‐flag challenges: Trade‐offs between model‐free learning and a priori knowledge by Fabio Massimo Zennaro, László Erdődi

“…So far, penetration testing has been carried out mainly by trained human attackers and its success critically depended on the available expertise. …”
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Social media use to enhance children’s diets: the case of Lebanese mothers by Carla Tenkerian, Rita Sayah

“…This study investigates the influence of observational learning and modeling on behaviors, especially how the mothers’ use of social media can enhance children’s diets, based on a Lebanese case study. It mainly examines the extent to which mothers who frequently engage with platforms such as TikTok and Instagram actively search for, select and use nutritious lunch box recipes while preparing their children’s meals, in comparison to those who use these platforms less frequently. …”
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PROJECTING OF THE INDIVIDUAL WORK OF STUDENTS STUDYING INFORMATICS by Mikhail I. Umansky

“…The attention is paid mainly to the laboratory work aimed at the formation of procedural knowledge. …”
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Methodology of evaluation and correction of geometric data topology in QGIS software by Anita Kukulska, Tomasz Salata, Katarzyna Cegielska, Marta Szylar

“…The tools and plug-ins for evaluation and revision of geometric and topological correctness of a vector model implemented in QGIS software were mainly used in the survey. Elaborated algorithms are aimed at acceleration of data processing to allow their usage during that process. …”
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Comparative analysis of the effectiveness of three immunization strategies in controlling disease outbreaks in realistic social networks. by Zhijing Xu, Zhenghu Zu, Tao Zheng, Wendou Zhang, Qing Xu, Jinjie Liu

“…The high incidence of emerging infectious diseases has highlighted the importance of effective immunization strategies, especially the stochastic algorithms based on local available network information. …”
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Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Marine mammal identification and classification for passive acoustic monitoring remain a challenging task. Mainly the interspecific and intraspecific variations in calls within species and among different individuals of single species make it more challenging. …”
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Development of RF Hardware and Point Cloud Processing Method for Phased Array Millimeter Wave Radar by Zihang Yan, Hua Zhang, Bo Yan, Jingrong Sun

“…Finally, through actual testing and comparison with other clustering algorithms, the superiority of this method in clustering accuracy and processing time was verified. …”
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The Bright Decade of Ocean Salinity from Space by Roberto Sabia, Jacqueline Boutin, Nicolas Reul, Tong Lee, Simon H. Yueh

“…Despite its relevance, however, it could not be measured from space, mainly because of technological limitations, until 2009. …”
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The Prediction of Storm‐Time Thermospheric Mass Density by LSTM‐Based Ensemble Learning by Peian Wang, Zhou Chen, Xiaohua Deng, Jingsong Wang, Rongxing Tang, Haimeng Li, Sheng Hong, Zhiping Wu

“…In this paper, an available prediction model is established by Long Short‐Term Memory (LSTM)‐based ensemble learning algorithms. However, the generalization ability of the deep learning model is often suspicious since training data and testing data are from the same data set in the conventional method. …”
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Modelling Gas Transport in Multiphasic Materials: Application to Semicrystalline Membranes by Lorenzo Merlonghi, Marco Giacinti Baschetti, Maria Grazia De Angelis

“…The description of gas permeation across heterogeneous materials has been studied with many methods, mainly focusing on composites with high aspect ratios and low filler volume fractions. …”
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Impact of Public Space in Primary and Secondary Schools Based on Natural Visibility Ratio by Feng Liu, Hao Zhou, Jiangtao Xie, Yue Tang, Shuyu Liu

“…This study analysed 53 schools, which are mainly located in urban areas of China, and variations in their design that were generated through computational modelling. …”
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Design of Multiregional Supervisory Fuzzy PID Control of pH Reactors by Shebel AlSabbah, Mujahed AlDhaifallah, Mohammad Al-Jarrah

“…The proposed work focuses, mainly, on two themes. The first one is to propose a multiregional supervisory fuzzy-based cascade control structure. …”
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Integrating machine learning and single-cell sequencing to identify shared biomarkers in type 1 diabetes mellitus and clear cell renal cell carcinoma by Yi Li, Rui Zeng, Rui Zeng, Yuhua Huang, Yumin Zhuo, Jun Huang

“…Subsequently, the LASSO and SVM algorithms were employed to identify shared hub genes between the two diseases. …”
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Identification of aging-related biomarkers and immune infiltration analysis in renal stones by integrated bioinformatics analysis by Yuanzhao Wang, Nana Chen, Bangqiu Zhang, Pingping Zhuang, Bingtao Tan, Changlong Cai, Niancai He, Hao Nie, Songtao Xiang, Chiwei Chen

“…GO enrichment analysis revealed that these genes were mainly involved in RS-related biological processes such as macrophage proliferation and neuroinflammatory response. …”
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