Optimization of clayey soil parameters with aeolian sand through response surface methodology and a desirability function by Ghania Boukhatem, Messaouda Bencheikh, Mohammed Benzerara, Mehmet Serkan Kırgız, N. Nagaprasad, Krishnaraj Ramaswamy, Souhila Rehab-Bekkouche, R. Shanmugam

“…Additionally, the Cc and Cs decreased by 16.15 and 54.45%, respectively, which reduced the sensitivity of the soil to volume changes. Mathematical models are developed and statistically validated using the clay and aeolian sand contents as predictive variables, while key parameters such as the maximum dry density (MDD), cohesion (C), internal friction angle (ϕ), compressibility coefficient (Cc), and swelling coefficient (Cs) serve as response metrics. …”
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Biofuel Production in Oleic Acid Hydrodeoxygenation Utilizing a Ni/Tire Rubber Carbon Catalyst and Predicting of n-Alkanes with Box–Behnken and Artificial Neural Networks by Luis A. Sánchez-Olmos, Manuel Sánchez-Cárdenas, Fernando Trejo, Martín Montes Rivera, Ernesto Olvera-Gonzalez, Benito Alexis Hernández Guerrero

“…We developed a dataset with pressure, temperature, metal content, reaction time, and catalyst composition variables as inputs. The output variables are the n-C₁₇ and n-C₁₈ alkanes obtained. …”
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Phenotypic and genetic characterisation of methane emission predicted from milk fatty acid profile of Sarda dairy ewes by F. Correddu, S. Carta, M. Congiu, A. Cesarani, C. Dimauro, N. P. P. Macciotta

“…Heritability of eMI and eMY estimated using a single trait model was 0.13 ± 0.05 and 0.05 ± 0.04, respectively. …”
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Functional and internalizing disorders co-aggregate with cardiometabolic and immune-related diseases within families: a population-based cohort study by Olivier D. Steen, Martje Bos, Sonja L. van Ockenburg, Yiling Zhou, Ilja M. Nolte, Harold Snieder, Kenneth Kendler, Judith G. M. Rosmalen, Hanna M. van Loo

“…We used logistic regression to model the prevalence of these disorders in the general population and in participants with affected relatives. …”
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Surface Defect Detection for Small Samples of Particleboard Based on Improved Proximal Policy Optimization by Haifei Xia, Haiyan Zhou, Mingao Zhang, Qingyi Zhang, Chenlong Fan, Yutu Yang, Shuang Xi, Ying Liu

“…The method integrates the variable action space and the composite reward function and achieves the balanced optimization of different types of defect detection performance by adjusting the scaling and translation amplitude of the detection region. …”
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Machine learning study on magnetic structure of rare earth based magnetic materials by Dan Liu, Jiahe Song, Zhixin Liu, Jine Zhang, Weiqiang Chen, Yinong Yin, Jianfeng Xi, Xinqi Zheng, Jiazheng Hao, Tongyun Zhao, Fengxia Hu, Jirong Sun, Baogen Shen

“…In this work, 11 machine learning algorithms were trained to predict the material magnetic structure. Material composition and crystal structure are used to classify the dataset, and the relationship between multi-feature variables is constructed in a small sample space. …”
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Tree community, vegetation structure and aboveground carbon storage in Atlantic tropical forests of Cameroon by Jean Louis Fobane, Jules Christian Zekeng, Cédric Djomo Chimi, Jean Michel Onana, André Paul Ebanga, Léonnel Djoumbi Tchonang, Ameline Clarance Talla Makoutsing, Marguerite Marie Mbolo

“…Additionally, multiple regression models were used to examine the effects of environmental variables and stand size structure on non-destructive carbon stock assessments. …”
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Advances in Forensic Entomotoxicology for Decomposed Corpses: A Review by Sen Hou, Zengjia Liu, Jiali Su, Zeyu Yang, Zhongjiang Wang, Xinyi Yao, Zhou Lyu, Yang Xia, Shuguang Zhang, Wen Cui, Yequan Wang, Lipin Ren

“…It integrates signals related to xenobiotic exposure and modulates larval development, making it a promising model for future mechanistic studies in insect toxicology. …”
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Exploring individual differences in fear extinction in male and female mice: insights from HPA axis, microbiota, and transcriptomics by Marc Ten-Blanco, María Ponce-Renilla, Inmaculada Pereda-Pérez, Cristina Izquierdo-Luengo, Carlo Bressa, Olga Zafra, Rosa María Tolón, Fernando Berrendero

“…This model allowed us to stratify the mice population into two extreme phenotypic subgroups (resilient and susceptible), based on their individual fear extinction behavior. …”
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Applicability of Machine Learning and Mathematical Equations to the Prediction of Total Organic Carbon in Cambrian Shale, Sichuan Basin, China by Majia Zheng, Meng Zhao, Ya Wu, Kangjun Chen, Jiwei Zheng, Xianglu Tang, Dadong Liu

“…Accurate Total Organic Carbon (TOC) prediction in the deeply buried Lower Cambrian Qiongzhusi Formation shale is constrained by extreme heterogeneity (TOC variability: 0.5–12 wt.%, mineral composition Coefficient of Variation > 40%) and ambiguous geophysical responses. …”
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Primed to vocalize: Wild-derived male house mice increase vocalization rate and diversity after a previous encounter with a female. by Sarah M Zala, Doris Nicolakis, Maria Adelaide Marconi, Anton Noll, Thomas Ruf, Peter Balazs, Dustin J Penn

“…Timepoint models showed that USV length increased 1 day after priming, that repertoire diversity increased 1 and 20 days after priming, and that the variability of USV frequencies was lower 20 and 30 days after priming. …”
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Overweight and obesity combined with low physical function and non-communicable diseases among older adults in nursing homes represent a group with nutritional risk, malnutrition,... by Tenna Christoffersen, Inge Tetens, Anja Weirsøe Dynesen, Margit Dall Aaslyng, Janne Kunchel Lorenzen, Anne Marie Beck

“…The aim of the present study was to characterise older adults in community care with overnutrition according to a proposed screening model and to compare this group with older adults with normal weight in terms of nutritional risk, malnutrition, sarcopenia, or a combination of both. …”
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Source Apportionment of Fine Particulate Matter in Wuhan: Application of Rolling Positive Matrix Factorization Under Different Seasons and Episodic Events by Ziye Guo, Qiongqiong Wang, Nan Chen, Bo Zhu, Huang Zheng, Shaofei Kong, Mingjie Xie, Huan Yu

“…Abstract Introduction Source apportionment of fine particulate matter (PM2.5) from positive matrix factorization (PMF) model with long-term measurements of chemical composition data can be biased due to changes of source profiles across the sampling period. …”
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Development and characterization of a novel immortalized human vaginal fibroblast cell line for advanced applications in reproductive health by Leong Chi Cheng, Shuoming You, Tingting Ren, Junjun Qiu, Keqin Hua

“…Abstract Background Reproductive health issues related to the vagina, face significant challenges due to the lack of standardized research models. Vaginal fibroblasts, which constitute approximately 55% of the vaginal wall’s cellular composition, are crucial for tissue repair, remodelling, and reproductive health. …”
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Canonical correlation analysis for multi-omics: Application to cross-cohort analysis. by Min-Zhi Jiang, François Aguet, Kristin Ardlie, Jiawen Chen, Elaine Cornell, Dan Cruz, Peter Durda, Stacey B Gabriel, Robert E Gerszten, Xiuqing Guo, Craig W Johnson, Silva Kasela, Leslie A Lange, Tuuli Lappalainen, Yongmei Liu, Alex P Reiner, Josh Smith, Tamar Sofer, Kent D Taylor, Russell P Tracy, David J VanDenBerg, James G Wilson, Stephen S Rich, Jerome I Rotter, Michael I Love, Laura M Raffield, Yun Li, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Analysis Working Group

“…Integrative approaches that simultaneously model multi-omics data have gained increasing popularity because they provide holistic system biology views of multiple or all components in a biological system of interest. …”
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Management factors affecting the environmental impact of cereal-based dairy farms by Marco Berton, Enrico Sturaro, Stefano Schiavon, Alessio Cecchinato, Luigi Gallo

“…Impact values were analysed with a linear model to test separately the effects of MAN_F, DIET_F and ANI_F variables. …”
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Prevalence of metabolic syndrome and its associations with stress and physical activity levels: a cross-sectional study involving university staff in Nigeria by Uchechukwu Martha Chukwuemeka, Peace Ogechukwu Chukwu, Anthony Chinedu Anakor, Precious Nzubechi Ukachi, Declan Ayara, Fatai Adesina Maruf

“…Demographic and cardiometabolic variables were assessed using standardised protocols. …”
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Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…The study employs principles of mechanics to furnish a comprehensive model of the wave compensation system, encompassing servo drives, servo motors, encoders, and hydraulic cylinders. …”
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Nitrogen and truly digestible protein efficiencies of dairy cows fed fresh herbage- or maize forage-based diets: a meta-analysis by M. Ferreira, R. Delagarde, S. Lemosquet, N. Edouard

“…The dataset compiled dietary and zootechnical variables such as feed intake, chemical composition of the diet, milk yield (MY), milk composition and cow characteristics. …”
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Spatiotemporal Analysis and Physicochemical Profiling of PM₁₀ and PM_2.5 in Slovenia by Maja Ivanovski, Ivan Anžel, Darko Goričanec, Danijela Urbancl

“…Meteorological data and statistical models were used to assess environmental influences on PM variability. …”
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