Machine learning analysis of CO2 and methane adsorption in tight reservoir rocks by Mehdi Maleki, Mohammad Rasool Dehghani, Moein Kafi, Ali Akbari, Yousef Kazemzadeh, Ali Ranjbar

“…The dataset incorporates key variables such as temperature, pressure, rock type, total organic carbon (TOC), moisture content, and the CO2 fraction in the injected gas. …”
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RELATIONSHIP BETWEEN BOARD HETEROGENEITY AND ENVIRONMENTAL PERFORMANCE IN NIGERIAN MANUFACTURING FIRMS by Ibrahim Lawal, PhD, Habiba Ahmed Gwadabe, Audu Monday

“… This study investigates the relationship between board heterogeneity and environmental performance in Nigerian manufacturing firms, focusing on four key dimensions of board composition, board independence (BIND), board gender diversity (BGEN), board professionalism (BPRO), and board nationality diversity (BNAT), with firm size (FSZ) as a moderating variable. …”
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Travel Matrix Decomposition for Understanding Spatial Long-Distance Travel Structure by Hiromichi Yamaguchi, Mashu Shibata, Shoichiro Nakayama

“…They can be interpreted as composite indicators of several variables that are treated in the travel-destination choice multinomial logit model. …”
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Effect of L-theanine combined with geniposide on depression-like behavior induced by the chronic unpredictable mild stress (CUMS) in mice by Qiming Yu, Yan Zhu, Tao Jiang, Ying Gao, Nan Ling, Na Wang, John Shi, Weichun Pan, Qizhen Du, Junfeng Yin

“…TG treatment modulated intestinal microbiota composition compared to the CUMS group, including increased Firmicutes, reduced Bacteroidetes and Prevotella, and variable changes in Bifidobacterium abundance. …”
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Full cycle rice growth monitoring with dual-pol SAR data and interpretable deep learning by Ji Ge, Hong Zhang, Lu Xu, Wenjiang Huang, Jingling Jiang, Mingyang Song, Zihuan Guo, Chao Wang

“…Finally, an interpretable DL architecture incorporating a feature selection explainer and a feature-aware enhanced segmentation model is introduced. This architecture incorporates feature-wise variable learning networks, interprets the importance of individual features, and optimizes the feature composition, significantly enhancing the interpretability of the DL model. …”
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Vegetation Succession Patterns at Sperry Glacier’s Foreland, Glacier National Park, MT, USA by Ami Bryant, Lynn M. Resler, Dianna Gielstra, Thomas Pingel

“…GIS-derived variables contextualized the plots’ aspect, terrain roughness, topographic position, solar radiation, and curvature. …”
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Protective effect of Pu-erh tea polysaccharides and catechins compound on immunosuppressive mice by CHU Xi, ZHOU Yufei, LIU Ailing, ZHOU Miao, LI Dongfang, ZHANG Sheng

“…The model was constructed by orthogonal partial least squares-discriminant analysis (OPLS-DA), the key differential metabolites was screened by variable importance in projection (VIP) and variance analysis P value, and the metabolic pathway was analyzed by Kyoto Encyclopedia of Genes and Genomes (KEGG). …”
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Unveiling the effects of metabolites on the material properties of natural rubber by the integration of metabolomics and material characteristics by Nobuyuki Hiraoka, Shunsuke Imai, Shintaro Shioyama, Fuminori Yoneyama, Akio Mase, Yuko Makita

“…Correlation analysis between the metabolites and the properties of NR indicated that different metabolites affected different properties. A regression model of NR properties using metabolites as the explanatory variables suggests that about five metabolites need to be considered when examining the relationship between properties and metabolites. …”
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ML-based top taggers: Performance, uncertainty and impact of tower & tracker data integration by Rameswar Sahu, Kirtiman Ghosh

“…Nevertheless, the LLF-based classifiers trained on constituents' 4-momentum data exhibit substantial dependency on the jet modeling within Monte Carlo generators. The composite classifiers, formed by stacking a BDT on top of a GNN/CNN, not only enhance the performance of LLF-based classifiers but also mitigate the uncertainties stemming from the showering and hadronization model of the event generator. …”
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Predicting iron contents in the Tamra-Douahria mining site using a deep neural network approach by Zohra Kraiem, Fathi Maalaoui, Salah Bouhlel, Chaouki Sadik, Ali Sdiri

“…The well-known Douahria-Tamra mining site is characterized by the presence of deposits with high variability in composition, colour, and structural-textural peculiarities, especially in the exploitable layers. …”
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Evaluating the Effects of Thermal Processing on Nucleosynthetic Zinc Isotope Variations: Insights from Carbonaceous Chondrites Leachates by Rayssa Martins, Elin M. Morton, Alessandro Bragagni, Helen M. Williams, Frank Wombacher, Mark Rehkämper

“…The modelling suggests that variable extents of Zn depletion cannot account for the observed variations in nucleosynthetic Zn isotope compositions, implying that these characteristics are decoupled. …”
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Chemical Diversity of UK-Grown Tea Explored Using Metabolomics and Machine Learning by Amanda J. Lloyd, Alina Warren-Walker, Jasen Finch, Jo Harper, Kathryn Bennet, Alison Watson, Laura Lyons, Pilar Martinez Martin, Thomas Wilson, Manfred Beckmann

“…The intraclass variability in leaf composition was similar between the varieties. …”
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Analyzing Political Distrust as a Driving Factor for Protesting Political Actions in the Context of Security Threats and Political Corruption by Mahmoudreza Rahbarqazi, Morteza Ebrahimi

“…Key variables included: Security Threat Perceptions: Measured through concerns about international war, terrorism, and civil conflict Perceived Corruption: Assessed in relation to government, business, and media corruption Political Distrust: Evaluated based on trust in the judiciary, government, and parliament Protest Actions: Measured through activities, such as petitions, peaceful protests, and strikes The validity and reliability of the measures were confirmed through factor loadings, composite reliability, and model fit indices with detailed findings presented in the results section.   …”
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Optimization of a fermented pumpkin-based beverage to improve Lactobacillus mali survival and α-glucosidase inhibitory activity: A response surface methodology approach by W.Y. Koh, U. Uthumporn, A. Rosma, A.R. Irfan, Y.H. Park

“…The aim of this research was to develop an optimum fermentation and composition model for a new fermented pumpkin-based beverage with high probiotic survival and α-glucosidase inhibitory activity. …”
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Comportamiento parabólico del crecimiento de capas boradas en los aceros Y8A y X12M // Parabolic behavior of boriding layers growth in Y8A and X12M steels by C. Figueroa Hernández, E. Cañete Cisnero, M. Hurtado Ferrer

“…<br />The boriding process is applied in a mixture of silicon carbide and borax (70 and 30%) at 850, 900 and 950 oC temperature<br />during a period of time 2, 4 and 6 hours. As an independent variable the depth of the coat was selected.<br />It was obtained the parabolic growth coefficients, and the activation energy according to temperature, time and the chemical<br />composition of steel.…”
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CMIP6 GCMs Projected Future Koppen‐Geiger Climate Zones on a Global Scale by Young Hoon Song, Eun‐Sung Chung, Brian Odhiambo Ayugi

“…Consequently, the climate variables from GCMs were overestimated compared to the reference data, and the composition of the climate zones was less complex. …”
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A novel data processing approach to detect fraudulent insurance claims for physical damage to cars by Ahmet Yücel

“…For all models, the models with composite variables achieved higher accuracy rates, and among these models, the artificial neural network was the model with the highest accuracy performance at 76.56%.…”
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Providing a Roadmap for the Adaption of Agricultural Sector to Water Scarcity Conditions (Case Study: Selected Crops of Tajan Basin, Iran) by H. Fouladi, H. Amirnejad, S. Shirzadi Laskookalayeh

“…The model must also include decision variables that affect those objectives, and constraints that limit what user can do. …”
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Analisis Penerimaan SIMPUS Ditinjau dari Persepsi Pengguna di Puskesmas Mojoagung dengan Metode TAM by Mochammad Choirur Roziqin, Demiawan Rachmatta Putro Mudiono, Nuril Amalia

“…Result of the research are significant correlation between the variable Perceived Usefulness with Acceptance of IT at Mojoagung Public Health Center with significance values is smaller than p-value (Sig.) of 0.031, as well as variable Perceived Easy Of Use is significant correlation with Acceptance of IT  with significance value is smaller than p-value (Sig.) of 0.012. …”
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NEURAL NETWORKS INTEGRATION INTO LEGAL RESOURCES FOR ANTI-СORRUPTION MEASURES IN INTERNATIONAL ECONOMIC CO-OPERATION by Oleksii Makarenkov

“…The corrupt dimension of international communication is a constant variable, with a variable volume. The presence of virtuous individuals in top public positions within the world's most powerful nations has been demonstrated to reduce the level of global corruption-driven perversion and vice versa. …”
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