MPMFFT based DCA-DBT integrated probabilistic model for face expression classification by Kapil Juneja

“…The experimental observations are compiled for individual expressions against decision tree, SVM and KNN methods. The comparative results signify that the model improved the accuracy of each of distinctive facial expression.…”
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Predictive Modeling of the Hydrate Formation Temperature in Highly Pressurized Natural Gas Pipelines by Mustafa Karaköse, Özgün Yücel

“…In this study, we aim to develop advanced machine learning regression models for the prediction of hydrate temperature based on the chemical composition of sweet gas mixtures. …”
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Modeling the Formation of Liposomes with Vinpocetine from Soy Lecithin Phospholipids by Molecular Dynamics by Yu. A. Polkovnikova

“…Currently, when developing the composition of liposomal forms, molecular modeling methods are widely used, which are a convenient method for predicting both the properties of the membranes themselves and aspects of the interaction of membranes with small molecules or proteins.Aim. …”
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The Model of Moral Development from the Viewpoint of Nasir al-Din al-Tusi by Fereshte Abolhassani Niyaraki, hashem ghorbani

“…Having explained the process of moral development, we define the nature of moral development from the aspects of the quality of composition and the priority of factors. The conceptual analysis, propositional analysis and systematic analysis from the works of Tusi have been the means and methods of this survey. …”
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National Model of Russian Proto-Glamour Magazine Periodicals of the XVIII–XIX Centuries by L. V. Lytkina

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Evaluation of the adequacy of phase equilibria modeling based on various sets of experimental data by A. V. Frolkova, V. G. Fertikova, E. V. Rytova, A. K. Frolkova

“…The purpose of the paper is to compare the adequacy of mathematical models of vapor–liquid equilibrium (VLE) and their ability to reproduce the phase behavior of the ternary system benzene–cyclohexane–chlorobenzene using different experimental data sets to evaluate binary interaction parameters.Methods. …”
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Modeling the Stability of the Housing and Construction Complex Based on Organizational and Economic Interaction of Entities by N. N. Shelomentseva, O. V. Grushina

“…The study aims to identify management methods, from a system-information approach, that allow the system to reach a new level of sustainable disequilibrium with the environment while maintaining homeostasis. …”
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Psychological well-being of a school teacher: predictors and correlations of the PERMA model by E.N. Volkova

“… <p><strong>Context and relevance. </strong>The PERMA model is basic for understanding what elements and their corresponding psychological mechanisms determine a teacher's positive functioning. …”
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Pyrolysis Modeling and Kinetic Study of Typical Insulation Materials for Building Exterior Envelopes by Youchao Zhang, Bo Wang, Li Xu, Zhiming Ma

“…Model-fitting CR and masterplot methods indicated that f(α) = [2(1-α)[-ln(1-α)]]^1/2 is considered the pyrolysis reaction mechanism of EPS degradation. …”
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Probiotics and eating disorders: a systematic review of humans and animal model studies by Hossein Bahari, Camellia Akhgarjand, Seyedeh Nooshan Mirmohammadali, Mahsa Malekahmadi

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Experimental Investigation of Immunomodulator Galavit^® Diffusion in a Model System by E. G. Kuznetsova, O. M. Kuryleva, L. A. Salomatina, V. I. Sevastianov

“…Quantitative determination of Galavit® was performed by spectrophotometry (UV-2600 Shimadzu, Japan) in the wavelength range 294–298 nm in model media.Results and discussion. The characteristic parameters of emulsion compositions were determined during the study: the particle size varied from 0.1 to 2 µm, the delamination time – from 9 to 95 min depending on the composition. …”
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Statistical methods to adjust for the effects on intervention compliance in randomized clinical trials where precision treatment rules are being developed by Nur Hani Zainal, Corina Benjet, Yesica Albor, Mauricio Nuñez‐Delgado, Renato Zambrano‐Cruz, Carlos C. Contreras‐Ibáñez, Lorena Cudris‐Torres, Francisco R. dela Peña, Noé González, José Benjamín Guerrero‐López, Raúl A. Gutierrez‐Garcia, Ana Lucía Jiménez‐Peréz, Maria Elena Medina‐Mora, Pamela Patiño, Pim Cuijpers, Sarah M. Gildea, Alan E. Kazdin, Chris J. Kennedy, Alex Luedtke, Nancy A. Sampson, Maria V. Petukhova, Jose R. Zubizarreta, Ronald C. Kessler

“…In the reanalysis reported here, we used baseline (i.e., pre‐randomization) covariates to predict compliance among participants randomized to guided i‐CBT, generated a cross‐validated within‐person expected compliance score based on this model in both intervention groups, and then used this expected composite score as a predictor in an expanded HTE analysis. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…By automating the detection of functional genes, microbial interactions, and host-microbiome dynamics, DL methods offer unprecedented precision in understanding microbiome composition and its impact on health, disease, and the environment. …”
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The use of a mathematical model of the chromatographic column for processing chromatograms with overlapping peaks. by A. V. Anisimov, P. G. Rumyantsev, V. I. Zhuchkov

“…A method is suggested to process overlapping chromatographic peaks with the use of a mathematical model of the chromatographic column. …”
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Resilient dispatching optimization of power system driven by deep reinforcement learning model by Haifeng Zhang, Yifu Zhang, Jiajun Zhang, Xiangdong Meng, Jiazu Sun

“…This is mainly due to optimizing the model for unit composition and load distribution, avoiding unnecessary energy waste and equipment loss. …”
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Development of an experimental technique for orthotopic left lung transplantation in a rabbit model by V. K. Bogdanov, I. V. Pashkov, Ya. S. Yakunin, E. A. Stakhanova, A. Z. Guluev, A. P. Kuleshov, O. Yu. Esipova, N. V. Grudinin

“…Objective: to develop, master and evaluate the efficiency of an isolated lung transplantation (LT) technique on a rabbit animal model using Perfadex Plus® solution for cold static storage. …”
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CytoLNCpred-a computational method for predicting cytoplasm associated long non-coding RNAs in 15 cell-lines by Shubham Choudhury, Naman Kumar Mehta, Gajendra P. S. Raghava

“…Initially, we developed machine and deep learning based models using traditional features like composition and correlation. …”
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Model of Boundary Deposition Curves for Polydisperse Suspension Sedimentation in Flow-through Systems by Bakhyt Tazhibayeva, Arnold Brener, Leyla Musabekova, Vladimir Golubev, Zagira Kobeyeva, Altynay Yunussova

“…Using the approach of boundary deposition curves, a simple and effective method for calculating changes in the fractional composition of a suspension at the outlet of a flow region has been proposed.…”
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External validation of the relative fat mass (RFM) index in adults from north-west Mexico using different reference methods. by Alan E Guzmán-León, Ana G Velarde, Milca Vidal-Salas, Lucía G Urquijo-Ruiz, Luz A Caraveo-Gutiérrez, Mauro E Valencia

“…However, the intercepts of each regression did not show accuracy since they were different from zero, for ADP: -9.95 (95%CI: -15.7 to -4.14), for BIA: -12.6 (95%CI: -17.5 to -7.74) and for the 4C model: -13.6 (95%CI: -18.6 to -8.60). Irrespectively, FM% measured by each of the body composition methods was higher for DXA than the other three methods (p<0.001).…”
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Analysis of drug release models from biodegradable nanomodified chitosan based materials by М. О. Кумеда, Л. Б. Суходуб, Л. Ф. Суходуб

“…The release of CFT from CaP/CS matrices depends on the method of its introduction into the composite - during synthesis or saturation after synthesis. …”
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