The application of near‐infrared spectroscopy to predict composition, gross energy yield, and methane production of natural forages on the Qinghai–Tibet Plateau by Runze Wang, Huakun Zhou, Yayu Huang, Allan Degen, Xueyan Du, Muhammad Irfan Malik, Rongzhen Zhong, Binqiang Bai, Lizhuang Hao

“…Conventional methods were used to measure the forage composition, and predictive models were developed based on the spectral data. …”
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Achieving decarbonization goals in BRICS economies: Revisiting the joint role of composite risk index, green innovation, and environmental policy stringency by Maxwell Chukwudi Udeagha, Nicholas Ngepah

“…The study uses the second-generation cross-sectionally augmented autoregressive distributed lags (CS-ARDL) framework for testing long- and short-run models and addressing the issues of cross-sectional dependency and slope heterogeneity in the data set utilized for analysis. …”
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Sensitivity and optimization study on heat transfer enhancement of MHD hybrid nanofluid radiative transient flow past a spinning surface with quadratic Boussinesq approximation and... by Thirupathi Thumma, Surender Ontela, Rupalaksmi Dharanikota

“…To optimize and analyze the heat transfer rate, Response Surface Methodology (RSM) is combined with a Central Composite Design (CCD) model, providing a robust framework for both sensitivity and optimization analysis. …”
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Kerf geometry prediction and optimization in laser cutting of basalt fiber reinforced polymer composites using decision tree and coati optimization algorithm by Ammar H. Elsheikh, Ninshu Ma, Fadl A. Essa, Mahmoud Khedr, Ahmed Mohamed Mahmoud Ibrahim

“…COA was utilized as an internal optimizer to fine-tune the DT's hyperparameters. The model's accuracy was assessed and compared to a basic DT using various statistical measures, demonstrating superior performance despite the composites' heterogeneous and anisotropic nature. …”
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Association of a Combined Body Mass Index and Regional Body Fat Percentage Metric With Fragility Fracture Risk: Evidence from a Large Observational Cohort by Hamzah Amin, Michelle G. Swainson, Muhammed Aqib Khan, Marwan Bukhari

“…However, current fracture risk models, which largely rely on body mass index (BMI), may not fully capture these compositional factors. …”
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Modeling of Droplet Deposition in Air-Assisted Spraying by Jian Song, Zhichong Wang, Changyuan Zhai, Chenchen Gu, Kang Zheng, Xuecheng Li, Ronghua Jiang, Ke Xiao

“…The response surface model developed in this study can be applied to variable-rate spraying control systems, thus providing a quantitative basis for dynamic droplet control guided by canopy characteristics. …”
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Modeling and Reconstruction of Mixed Functional and Molecular Patterns

“…The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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Influence of root canal sealer composition on postoperative pain after endodontic treatment of permanent teeth: a systematic review and meta-analyses by Vania Gomes Moraes, Sandra Regina Santos Meyfarth, Guido Artemio Maranón-Vásquez, Lívia Azeredo Alves Antunes, Leonardo Santos Antunes

“…Sealer extrusion is a variable that requires further studies. KEYWORDS Postoperative pain; Root canal treatment; Sealer composition; Sealer extrusion; Systematic review. …”
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Modeling and Reconstruction of Mixed Functional and Molecular Patterns by Yue Wang, Jianhua Xuan, Rujirutana Srikanchana, Peter L. Choyke

“…The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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Regression Models for Predicting Physicochemical Properties of Biochar by Chiaw Hui Chiew, Li Yee Lim, Pei Ying Ong, Chunjie Li, Yee Van Fan

“…However, properties like CEC and Specific Surface Area (SSA) presented challenges due to inconsistencies between high R² and higher Root Mean Square Error (RMSE) values, indicating underlying variability. Municipal Solid Waste (MSW) biochar was the most challenging to predict due to its heterogeneous composition. …”
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Shibboleth: An agent-based model of signalling mimicry. by Jonathan R Goodman, Andrew Caines, Robert A Foley

“…Here, we run five different versions of a 'Shibboleth' model: a first, simple version, which evaluates whether a composite variable of mimicry quality and detection quality is a superior predictor to the model's outcome than is cost of detection. …”
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The Use of Explainable Machine Learning for the Prediction of the Quality of Bulk-Tank Milk in Sheep and Goat Farms by Daphne T. Lianou, Yiannis Kiouvrekis, Charalambia K. Michael, Natalia G. C. Vasileiou, Ioannis Psomadakis, Antonis P. Politis, Angeliki I. Katsafadou, Eleni I. Katsarou, Maria V. Bourganou, Dimitra V. Liagka, Dimitrios C. Chatzopoulos, Nikolaos M. Solomakos, George C. Fthenakis

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The model estimates the level of efficiency of corporate governance by N. A. Volkova

“…However, often in Russia, not all companies are included in the list of rating agencies, especially if these companies belong to medium- sized businesses. In the paper the model of corporate governance  efficiency evaluation is presented in the form of a system of  components, each of which is formed from economic indicators,  taking into account both the economic characteristics of the  enterprise and the qualitative composition of its personnel and not  tied to the quotes of the company’s shares in the stock markets. …”
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Evolutionary conformation model of salivary gland lithiasis by Álvaro Sánchez Barrueco, Álvaro Sánchez Barrueco, Álvaro Sánchez Barrueco, María Victoria López-Acevedo Cornejo, William Aragonés Sanzen-Baker, William Aragonés Sanzen-Baker, William Aragonés Sanzen-Baker, Sol López-Andrés, Gonzalo Díaz Tapia, Gonzalo Díaz Tapia, Gonzalo Díaz Tapia, Ignacio Alcalá Rueda, Ignacio Alcalá Rueda, Ignacio Alcalá Rueda, Jessica Mireya Santillán Coello, Jessica Mireya Santillán Coello, Jessica Mireya Santillán Coello, Carlos Cenjor Español, Carlos Cenjor Español, Carlos Cenjor Español, José Miguel Villacampa Aubá, José Miguel Villacampa Aubá, José Miguel Villacampa Aubá

“…The coexistence of amorphous phases and structural heterogeneity within layers explains the variability among stones. Detailed SEM-EDX analysis supports a unified conformational model for sialoliths that integrates the interplay of organic substrates, inorganic minerals, bacterial biofilms, and temporal factors.ConclusionsSialoliths are oolitic aggregates featuring a central core surrounded by concentric layers composed of organic and inorganic materials. …”
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Nutritional status and body composition by bioelectrical impedance vector analysis: A cross sectional study in mild cognitive impairment and Alzheimer's disease. by Ilaria Cova, Simone Pomati, Laura Maggiore, Marica Forcella, Valentina Cucumo, Roberta Ghiretti, Giulia Grande, Fulvio Muzio, Claudio Mariani

“…<h4>Results</h4>Sociodemographic variables did not differ among the three groups (AD, MCI and HC), except for females' age, which was therefore used as covariate in a general linear multivariate model. …”
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Exploring the link between age at menarche, anthropometry and body fat composition with type II diabetes in a Singapore multi-ethnic cohort by Paula Benny, Qian Yang, Beverly Wen-Xin Wong, Cuilin Zhang, Eu-Leong Yong, Ling-Jun Li, Zhongwei Huang

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Impact of Microtopography and Neighborhood Effects on Individual Survival Across Life History Stages by Haonan Zhang, Xiao Zheng, Yi Wu, Baokun Xu, Peng Cui, Xu Zhou, Yanming Fang, Lei Xie, Hui Ding

“…Mixed-effects models were employed to assess the combined influence of these factors across life stages. …”
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The influence of whole grain products and red meat on intestinal microbiota composition in normal weight adults: a randomized crossover intervention trial. by Jana Foerster, Gertraud Maskarinec, Nicole Reichardt, Adrian Tett, Arjan Narbad, Michael Blaut, Heiner Boeing

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Landscape and climatic factors shaping mosquito abundance and species composition in southern Spain: A machine learning approach to the study of vector ecology by Martina Ferraguti, Sergio Magallanes, Carlos Mora-Rubio, Daniel Bravo-Barriga, Florentino de Lope, Alfonso Marzal

“…This study explores the interaction between environmental and climate factors, investigating their influence on the abundance and species composition of mosquitoes in southwestern Spain, a region endemic to several mosquito-borne diseases.Using comprehensive field data from 2020, we analysed mosquito abundance and species richness alongside remote sensing variables and modeling techniques, including the machine learning Random Forest. …”
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Coach-Assisted eHealth With Group or Individual Support for Employees With Obesity: Randomized Controlled Trial on Weight, Body Composition, and Health Metrics by Siniriikka A Männistö, Kirsi H Pietiläinen, Joona Muotka, Laura-Unnukka Suojanen, Raimo Lappalainen, Riitta Korpela

“…The participants were assessed for weight, body composition, blood pressure, and laboratory measurements at 0-, 6-, 12-, and 24-month time points. …”
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