Agricultural support policies and GHG emissions from agriculture in Latin America: relationships and policy implications for climate change by Sara A. Wong, Gonzalo Rondinone, Carmine Paolo De Salvo

“…This practice has lowered producer prices, and thereby prevented farmers from adopting ecofriendly production techniques. This study uses policy data —market price support (MPS) and general service support estimates (GSSE) as shares of total support estimate (TSE)— and greenhouse gases (GHG) data for main crops and livestock sectors in 18 Latin-American countries and it applies cluster analysis to construct a typology that highlights patterns between policy incentives for agricultural crops and activities and GHG emissions. …”
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Machine Learning Approaches for Predicting Employee Turnover: A Systematic Review by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

“…We analyze various ML techniques, including Random Forest, Support Vector Machine, Logistic Regression, Decision Tree, and Neural Networks, highlighting their effectiveness in predicting turnover based on employee data. …”
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Statistical assessment of agricultural fertilizer impacts on water quality and environmental sustainability by Kien Vu Ngoc, Minh Duc Giang Trung

“…This study investigates how fertilizer use affects water quality by analyzing field data, including application rates and various water quality indicators. …”
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Determination of the $$K^+\bar{K}^0$$ K + K ¯ 0 scattering length and effective range from the $$D^+\rightarrow \bar{K}^0\pi ^+\eta $$ D + → K ¯ 0 π + η reaction by Jing Song, Wei-Hong Liang, Eulogio Oset

“…The obtained results are compared with previous theoretical predictions and experimental data, providing new insights into the $$K^+\bar{K}^0$$ K + K ¯ 0 interaction at low energies.…”
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Navigating Innovation Highways: Unraveling the Entrepreneurial Culture's Role with Knowledge Management as the Mediator in Automotive Technology Innovations by K. Sumathi, Prabir Chandra Padhy

“…Employing a cross-sectional design, data for analysis were gathered using a questionnaire technique from managers and employees of six e-vehicle automobile industries in India. …”
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A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models by George Raftopoulos, Nikos Fazakis, Gregory Davrazos, Sotiris Kotsiantis

“…These approaches can generally be categorized into three main techniques: pre-processing (modifying data before training), in-processing (incorporating fairness constraints during training), and post-processing (adjusting outputs after model training). …”
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Forecasting with a Bivariate Hysteretic Time Series Model Incorporating Asymmetric Volatility and Dynamic Correlations by Hong Thi Than

“…Our empirical analysis involves both simulated data and real-world financial datasets to evaluate the model’s effectiveness in capturing downside risk dynamics. …”
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Statistical assessment of agricultural fertilizer impacts on water quality and environmental sustainability by Kien Vu Ngoc, Minh Duc Giang Trung

“…This study investigates how fertilizer use affects water quality by analyzing field data, including application rates and various water quality indicators. …”
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Some Complex Picture Fuzzy Aggregation Operators Based on Frank t-norm and t-conorm: An Application to Multi-Attribute Decision-Making (MADM) Process by Faisal Mehmood, Heng Liu

“…Finally, in order to depict the potential applicability of our proposed technique, a numerical problem aiming at finding the best alternative has been solved and outcomes have been well compared with some existing techniques.…”
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The Behavioral Responses of Koi Carp (<i>Cyprinus carpio</i>) to Different Temperatures: Which Is Better, Infrared or Quadrupole Technology? by Guoqing Zhong, Zongming Ren

“…Therefore, both behavioral strength monitoring and infrared tracking monitoring are effective techniques for monitoring fish behavior and can be widely applied. …”
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Supporting Radiologists with Automated Image Analysis: An Evaluation of Deep Learning Tools for Augmenting Breast Cancer Screening by Imene Bouharati, Khaoula Bouharati

“… Introduction: This study investigates the use of Artificial Neural Networks (ANNs) for analyzing breast cancer risk factors, aiming to improve predictive analytics in early diagnosis and prevention. …”
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Network Congestion Tracking and Detection in Banking Industry Using Machine Learning Models by Kingsley Ifeanyi Chibueze, Nwamaka Georgenia Ezeji, Nnenna Harmony Nwobodo-Nzeribe

“…It addresses the challenge of congestion management through machine learning (ML) models, aiming to enhance network performance and service quality. …”
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Contribution of metabolomics to the taxonomy and systematics of octocorals from the Tropical Eastern Pacific by Karla B. Jaramillo, Paúl O. Guillén, Rubén Abad, Jenny Antonia Rodríguez León, Grace McCormack

“…Therefore, the main objective of this study was to assess the potential of metabolomics and advanced analytical techniques to analyze the metabolome of these organisms, aiming to refine species classification and improve understanding of octocoral systematics in this region. …”
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Plant disease classification in the wild using vision transformers and mixture of experts by Zafar Salman, Abdullah Muhammad, Dongil Han

“…Plant disease classification using deep learning techniques has shown promising results, especially when models are trained on high-quality images. …”
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BIBLIOMETRIC ANALYSIS OF THE MAP OF THE DEVELOPMENT AND INFLUENCE OF THE PHENOMENON OF STREET CRIME (1966-2023) FROM THE PERSPECTIVE OF ISLAMIC LAW by Fernanada Monica Putri, Muthoifin Muthoifin

“…This study employs qualitative research methods with a normative juridical approach, analyzing secondary data from published literature. The research employs bibliometric data analysis techniques through searching, deepening, examining, investigating, and researching all publications indexed in Scopus regarding the impact of street crime phenomena on public peace from a criminological perspective: public spaces in Indonesia from 1996 to 2023. …”
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Prototyping a graph-based approach for efficient vehicle tracking in a cluster controlled CCTV surveillance systems by Apurva NARAYAN, Charumathi PARIVALLAL, Olirva MAHESWARAN, Sarath CHANDRAN KALATHILPARAMBIL RAMACHANDRAN

“…The architecture offers scalable and adaptive solutions, aiming to improve the traffic management and emergency response by providing actionable insights through seamless integration of visual, audio, and textual data. …”
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Surface-wave imaging with nonrandom traffic seismic sourcesKey points by Binbin Mi, Jianghai Xia, Hao Zhang

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Advancing Credit Rating Prediction: The Role of Machine Learning in Corporate Credit Rating Assessment by Nazário Augusto de Oliveira, Leonardo Fernando Cruz Basso

“…The study evaluated multiple ML models, including Logistic Regression, Support Vector Machines, Decision Trees, Random Forest, Gradient Boosting (GB), and Neural Networks, using rigorous data pre-processing, feature selection, and validation techniques. …”
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Characterization and mapping of soil classes of the Lajeado Pessegueiro watershed in Santa Catarina, Brazil by Ludmila Nascimento Machado, Arcangelo Loss, Ivan Luiz Zilli Bacic, Denilson Dortzbach, Heloísa de campos Lalane

“…The soil classes found were Red Nitosols (37.54%), Haplic Nitosols (8.22%), Haplic Cambisols (35.20%), Fluvic Cambisols (3.92%), Red Argisols (10.09%) and Litholic Neosols (5.04%). The data showed the importance of using the physiographic analysis of the area with geoprocessing techniques, assisting pedological surveys with presentation through thematic maps. …”
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A2PC: Augmented Advantage Pointer-Critic Model for Low Latency on Mobile IoT With Edge Computing by Rodrigo Carvalho, Faroq Al-Tam, Noelia Correia

“…The nature of this planning problem makes cutting-edge deep reinforcement learning (DRL) techniques useful in solving pertinent issues, such as having to deal with multiple dimensions in the action space while aiming for optimum levels of system performance. …”
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