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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Multi-objective design optimization of a transonic axial fan stage using sparse active subspaces by Richard Amankwa Adjei, Chengwei Fan

“…Active subspace was used to compute the active variables via singular value decomposition and a hybrid polynomial correlated function expansion was used to construct a surrogate model on the active subspace. …”
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Method for compensating multi-time measurement data of distribution network based on alternating minimization matrix completion combined with VMD-ARIMA-LSTM by Xiaodan Yu, Ruijia Jiang, Xiaolong Jin, Hongjie Jia, Yunfei Mu, Wei Wei, Wanxin Tang

“…To address these issues, this paper proposes a hybrid state estimation framework (MC-VMD-ARIMA-LSTM) that integrates alternating-minimization matrix completion (MC) with variational mode decomposition (VMD), autoregressive integrated moving average (ARIMA) modeling, and long short-term memory (LSTM) neural networks for enhanced power flow analysis in low-observability distribution networks. …”
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Testing the Performance of Large-Scale Atmospheric Indices in Estimating Precipitation in the Danube Basin by Constantin Mares, Venera Dobrica, Ileana Mares, Crisan Demetrescu

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DCT-Based White Blood Cell Image Enhancement for Recognition Using Deep Learning by Anh Quynh Vu, Hoan Quoc Bui, Long Tuan Nguyen, Tuyen Ngoc Le

“…White blood cell (WBC) recognition is still a challenging problem because of the high variability and complexity of blood cell images. Blood cell images can vary in quality, resolution, contrast, illumination, staining, and background. …”
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A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach by Yaron Ogen, Michael Denk, Cornelia Glaesser, Holger Eichstaedt

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Recovery of Carbon Fibres From Aged Epoxy Matrix Composites Using H2O2 as an Oxidant: A Thermodynamic and Technoeconomic Analysis by Paul Njeni Mabalane, Kristof Molnar, Philani Thembelihle Mazibuko, Kolos Molnár, Caroline Khoathane, Mike Masukume

“…The price of hydrogen peroxide and recovered carbon fibre are essential variables that have a high effect on the model.…”
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