Development and validation of machine learning models for predicting low muscle mass in patients with obesity and diabetes by Jiaying Ge, Siqi Sun, Jiangping Zeng, Yujie Jing, Huihui Ma, Chunhua Qian, Ran Cui, Shen Qu, Hui Sheng

“…Novel obesity indices, such as the body roundness index (BRI), conicity index, and relative fat mass, have shown promise for assessing body composition. This study aimed to investigate the associations of these indices with LMM and to develop machine learning models for accurate and accessible LMM prediction. …”
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Region-specific brain decellularized extracellular matrix promotes cell recovery in an in vitro model of stroke by Diego Reginensi, Didio Alberto Ortiz, Bernardino Denis, Solangel Castillo, Andrea Burillo, Nathalie Khoury, Jing Xu, Maria Lucia Dam, Anthony A. Hurtado Escobar, Kunjan R. Dave, Miguel A. Perez-Pinzon, Rolando A. Gittens

“…First, each brain region was evaluated with the isotropic fractionator method to understand the cellular composition of the different cerebral areas. …”
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Ensembles of spectral-spatial convolutional neural network models for classifying soil types in hyperspectral images by N.A. Firsov, V.V. Podlipnov, N.A. Ivliev, D.D. Ryskova, A.V. Pirogov, A.A. Muzyka, A.R. Makarov, V.E. Lobanov, V.I. Platonov, A.N. Babichev, V.A. Monastyrskiy, V.I. Olgarenko, D.P. Nikolaev, R.V. Skidanov, A.V. Nikonorov, N.L. Kazanskiy, V.A. Soyfer

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Development of Mid-Infrared Spectroscopy (MIR) Diagnostic Model for Udder Health Status of Dairy Cattle by Xiaoli Ren, Chu Chu, Xiangnan Bao, Lei Yan, Xueli Bai, Haibo Lu, Changlei Liu, Zhen Zhang, Shujun Zhang

“…Three MIR spectral preprocessing methods, six modeling algorithms, and three different sets of MIR spectral data were employed in various combinations to develop several diagnostic models for mastitis of dairy cattle. …”
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Activity and diffusivity of oxygen in the liquid dilute BixSb1-x solutions by Jendrzejczyk-Handzlik D., Handzlik P., Fitzner K.

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An efficient p-n type based (NiO/CeO2) hybrid composite photocatalyst and its performance for cationic dye degradation: Probable degradation pathways, optimization activities, and... by Manoj Kumar, Atikur Rahman, Vijay Pratap Singh

“…These methods were employed to investigate the chemical composition, morphological features, and optical characteristics of the composites, providing a comprehensive understanding of their properties and potential characteristics. …”
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Outbreak reconstruction with a slowly evolving multi-host pathogen: A comparative study of three existing methods on Mycobacterium bovis outbreaks by Hélène Duault, Benoit Durand, Laetitia Canini

“…However, the majority of these methods remain untested on realistic simulated multi-host data. …”
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Modeling regional aboveground carbon stock dynamics affected by land use and land cover changes by A.D. Malik, M.C.W. Arief, S. Withaningsih, P. Parikesit

“…The spatiotemporal dynamics of the aboveground carbon stocks were assessed using Integrated Valuation of Ecosystem Services and Tradeoffs models.METHODS: Aboveground carbon stocks were estimated using the integrated approach of field inventory and geographic information systems. …”
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Structural, Morphological, and Optical Properties of Nano- and Micro-Structures of ZnO Obtained by the Vapor–Solid Method at Atmospheric Pressure and Photocatalytic Activity by Carlos Bueno, Adan Luna, Gregorio Flores, Héctor Juárez, Mauricio Pacio, René Pérez, Javier Flores-Méndez, David Maestre, Raúl Cortés-Maldonado

“…Furthermore, EDS measurements show an atomic quantity ratio of Zn:O that differs from the stoichiometric composition in the micro-tubes. The photocatalytic activity of three types of structures—nano-wires, micro-tubes, and micro-rods under UV irradiation using methylene blue as a model pollutant—were evaluated. …”
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Analytical model of a dynamic system «pulse-width converter – DC motor with independent excitation» by Alexander S. Glazyrin, Evgeniy I. Popov, Vladimir A. Kopyrin, Sergey N. Kladiev

“…The proposed analytical model is recommended for investigation of dynamic modes of DC motors with independent excitation and allows one to analytically apply methods of automatic control theory to a dynamic system, as well as obtain complete information about the spectral composition of state variables.…”
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The use of hydro/chemical modeling in identifying the source of impact on the underground hydrosphere in conditions of potash production by Alexander A. Borisov

“…The filtration process of brines is accompanied by their interaction with rocks and groundwater, leading to a change in the initial composition. Therefore, in the absence of direct signs of filtration, the procedure of unambiguous identification of the source becomes more complicated and requires additional work in the form of opening of the filtering zone by wells or tracing of mineralized fl ows by geophysical methods. …”

Predicting gut microbiota dynamics in obese individuals from cross-sectional data by Ena Melvan, Ena Melvan, Andrew P. Allen, Tea Vuckovic, Irena Soljic, Antonio Starcevic

“…While gut microbiota has been linked to obesity, most research has focused on static taxonomic composition rather than the dynamic interactions between microbial taxa.MethodsWe applied BEEM-Static, a generalized Lotka-Volterra model, to cross-sectional 16S rRNA gut microbiome data from six public datasets, comprising 2,435 profiles from lean and obese individuals.ResultsA total of 57 significant microbial interactions were identified in obese individuals (79% negative), compared to 37 in lean individuals (92% negative). …”
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Deep neural network modeling for brain tumor classification using magnetic resonance spectroscopic imaging. by Erin B Bjørkeli, Knut Johannessen, Jonn Terje Geitung, Anna Karlberg, Live Eikenes, Morteza Esmaeili

“…MRSI presents a promising alternative by providing detailed insights into tissue chemical composition and metabolic changes. Our proposed model, which utilizes deep neural networks, is specifically designed for the analysis and classification of spectral time series data. …”
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A demand-centered scheduling framework for shared supercomputing resources: modeling, metrics, and case insights by Hyungwook Shim

“…The methodology involves estimating a demand model using price elasticity analysis and developing a new composite index to quantitatively evaluate resource management efficiency across multiple centers. …”
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NUMERICAL OPTIMIZATION OF THE EFP CHARGE BASED ON AN MPB MINE by Dariusz Pyka

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Targeted lipidomics analysis of possible molecular mechanisms of lipid changes in temporal lobe epilepsy models by Huaiyu Sun, Xuewei Li, Zhiqing Chen, Hongmei Meng

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Utilizing metagenomic profiling and machine learning model to identify bacterial biomarkers for major depressive disorder by Xuan Wang, Di Cao, Hanlin Zhang, Wei Chen, Jiaxin Sun, Huimin Hu

“…The objective of this study was to explore the potential of microbial biomarkers in the diagnosis of major depressive disorder.MethodsIn this study, we used a metagenomic approach to analyze the composition and differences of gut bacterial communities in 36 patients with major depressive disorder and 36 healthy individuals. …”
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Performance Evaluation Model of Overhead Transmission Line Anti-Icing Strategies Considering Time Evolution by Xuyang Li, Xiaojuan Xi, Zhengwei Guo, Yongjie Li, Muzi Li, Bing Fan

“…Finally, a performance evaluation method for anti-icing strategies is developed based on the risk quantification model. …”
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Kinetic modeling and optimization of biogas production from food waste and cow manure co-digestion by Mohammadmahdi Mohammadianroshanfekr, Maryam Pazoki, Mohamad Bagher Pejman, Reza Ghasemzadeh, Abolghasem Pazoki

“…This study focuses on maintaining a constant optimized total solids concentration for optimizing feedstock composition to enhance biogas production and compares four kinetic models on predicting performance, providing insights into anaerobic digestion system improvement. …”
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Transcriptomic analysis and machine learning modeling identifies novel biomarkers and genetic characteristics of hypertrophic cardiomyopathy by Feng Zhang, Chunrui Li, Lulu Zhang

“…ObjectiveThis study aimed to leverage bioinformatics approaches to identify novel biomarkers and characterize the molecular mechanisms underlying hypertrophic cardiomyopathy (HCM).MethodsTwo RNA-sequencing datasets (GSE230585 and GSE249925) were obtained from the Gene Expression Omnibus (GEO) repository. …”
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