Impact of chemical composition on metabolizable energy and its prediction models in brewer's spent grains for broilers at different ages by Mingqiang Song, Kai Tian, Cong Ren, Youyou Liu, Xiaomeng Ye, Yuming Wang, Jingjing Xie, Feng Zhao

“…This study aimed to investigate the relationship between chemical composition and metabolizable energy (ME) in brewer’s spent grains (BSG), and to develop ME prediction models for fast-growing white feathered broilers at different ages. …”
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Prediction of the Effect of Polymer Membrane Composition in a Dry Air Humidification Process via Neural Network Modeling by M. Fakhroleslam, A. Samimi, S.A. Mousavi, R. Rezaei

“…The developed models were verified by experimental data. The results showed that the feed- forward neural network models, especially FFGA, were suitable for prediction of the effect of membrane composition and operating conditions on the performance of this type of membrane humidifiers…”
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Interaction between photoactivators and adhesive systems used as modeling liquid on the degree of conversion of a composite for bleached teeth by Thiago Jonathan Silva dos Santos, Ana Margarida dos Santos Melo, Matheus Dantas Tertulino, Boniek Castillo Dutra Borges, Ademir Oliveira da Silva, Maria Cristina dos Santos Medeiros

“… Objective: This study analyzed the effect of two light emitting diodes (LEDs) on the degree of conversion (DC) of a composite resin for bleached teeth under the influence of adhesives systems used as modeling liquid. …”
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Chronic restraint stress affects the diurnal rhythms of gut microbial composition and metabolism in a mouse model of depression by Yue Wang, Peijin Cui, Maolin Cao, Ling Ai, Li Zeng, Xue Li, Dan Chen, Fang Gong, Liang Fang, Chanjuan Zhou

“…Our aim was to investigate the microbial circadian oscillation signature and related metabolic pathways in a mouse model with depression-like behaviours. Methods Chronic restraint stress (CRS) was used to induce depressive-like behaviours in C57BL/6J mice. …”
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Human microbiota influence the immune cell composition and gene expression in the tumor environment of a murine model of glioma by George B. H. Green, Alexis N. Cox-Holmes, Gillian H. Marlow, Anna Claire E. Potier, Yong Wang, Lianna Zhou, Dongquan Chen, Casey D. Morrow, Braden C. McFarland

“…We have previously found that, when using gnotobiotic mice transplanted with human fecal microbiota, the gut microbial composition influenced the response to anti-PD-1 in a mouse model of glioma. …”
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Multi-Response Au-Nanohybrid Composite Triggered NIR-Light for Effective Anti-Tumor Therapy in Animal Model by Kong LZ, Zhou D, Mo G, Shu M, Yu W, Cheng H, Li K

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The predictive value and model establishment of body composition in the long-term prognosis of patients after rectal cancer surgery by LIU Shuo, LU Yun, HU Jilin, YANG Wenchang, ZHAO Rizhi, XU Wenda, YANG Hanyu, LU Zechen, MA Zheng, DU Zhaolin, GAO Yunzhi, GAO Yuan

“…This study aimed to explore the relationship between body composition and long-term prognosis, and to develop a postoperative predictive model. …”
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Differential quadrature free vibration analysis of sandwich plates with curvilinear fiber variable stiffness composite face sheets by Zhenyu Zhou

“…The novelty of this study lies in the first application of an integrated DQM-FSDT approach to the free vibration analysis of sandwich plates with variable-stiffness curvilinear fiber composites. Notably, this method attains accuracy comparable to higher-order models (<5% error) with merely a 19 × 19 mesh. …”
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Machine learning methods for predicting human-adaptive influenza A virus reassortment based on intersegment constraint by Dan-Dan Zeng, Dan-Dan Zeng, Yu-Rong Cai, Sen Zhang, Fang Yan, Tao Jiang, Jing Li

“…IntroductionIt is not clear about mechanisms underlining the inter-segment reassortment of Influenza A viruses (IAVs).We analyzed the viral nucleotide composition (NC) in coding sequences,examined the intersegment NC correlation, and predicted the IAV reassortment using machine learning (ML) approaches based on viral NC features.MethodsUnsupervised ML methods were used to examine the NC difference between human-adapted and zoonotic IAVs. …”
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PRACTICAL APPLICATION OF AUTHOR'S MODEL TRANSPORT OF MINERAL PARTICLES by M. R. Magomedova

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Tidally Heated Sub-Neptunes, Refined Planetary Compositions, and Confirmation of a Third Planet in the TOI-1266 System by Michael Greklek-McKeon, Shreyas Vissapragada, Heather A. Knutson, Akihiko Fukui, Morgan Saidel, Jonathan Gomez Barrientos, W. Garrett Levine, Aida Behmard, Konstantin Batygin, Yayaati Chachan, Gautam Vasisht, Renyu Hu, Ryan Cloutier, David Latham, Mercedes López-Morales, Andrew Vanderburg, Carolyn Heffner, Paul Nied, Jennifer Milburn, Isaac Wilson, Diana Roderick, Kathleen Koviak, Tom Barlow, John F. Stone, Rocio Kiman, Judith Korth, Jerome P. de Leon, Izuru Fukuda, Yuya Hayashi, Masahiro Ikoma, Kai Ikuta, Keisuke Isogai, Yugo Kawai, Kiyoe Kawauchi, Nobuhiko Kusakabe, John H. Livingston, Mayuko Mori, Norio Narita, Motohide Tamura, Noriharu Watanabe, Gareb Fernández-Rodríguez

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Predicting climate-related compositional shifts in nut-producing species that are important for bears during hyperphagia by José Carlos Pérez-Girón, José Vicente López-Bao, Emilio Díaz-Varela, Pedro Álvarez-Álvarez

“…We fitted species distribution models using a down-sampling random forest ensemble approach to create comprehensive maps and species flows, identifying key hotspots of nut production under the SSP3-7.0 and SSP5-8.5 climate change scenarios. …”
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Predicting 3-year all-cause mortality in rectal cancer patients based on body composition and machine learning by Xiangyong Li, Zeyang Zhou, Xiaoyang Zhang, Xinmeng Cheng, Chungen Xing, Yong Wu

“…This study aimed to develop and validate a machine learning (ML) predictive model for 3-year all-cause mortality after laparoscopic total mesorectal excision (LaTME).MethodsPatients who underwent LaTME surgery between January 2018 and December 2020 were included and randomly divided into training and validation cohorts. …”
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Recognition of fabric composition of clothing in an image in e-commerce using neural networks by V. V. Sorokina

“…In the course of the experiment, using a generative adversarial network, a data set of e-commerce products was synthesized and annotated, neural networks were built to recognize the composition of the fabric of clothing items. The results of the study showed that the new approach for recognizing the fabric of clothing provides higher accuracy in comparison with already known methods, in addition, the use of the attention model also gives good results to improve the metrics.…”
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A Numerical and Theoretical Investigation of the Flexural Behavior of Steel–Ultra-High-Performance Concrete Composite Slabs by Changshui Li, Boyi Zhao, Dawei Hao, Xiaolong Gao, Hao Bian, Xuanzheng Zhang

“…The steel–Ultra-High-Performance concrete (UHPC) composite slab is a new type of structure made of steel and UHPC connected by pegs, and its flexural mechanical properties and related design methods need to be further investigated. …”
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Mechanical and finite element models of corneal keratoprostheses by A. N. Soloviev, N. I. Glushko, A. N. Epikhin, M. Swain, О. N. Lesnyak, А. Е. Ivanov

“…The analytical solution is constructed for a simplified model in the form of a composite circular plate. …”
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Experimental and Analytical Study on the Flexural Performance of Layered ECC–Concrete Composite Beams by Chong Gui, Jinlong Ji, Chongfa Xu, Zhihua Li, Xuan Guo

“…The experimental findings underscore a substantial improvement in crack resistance and flexural bearing capacity of ECC-concrete composite beams reinforced with steel bars. Building on these results, a theoretical model was formulated to predict the moment-deflection responses of ECC-concrete composite beams incorporating steel bars. …”
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Microstructure-Driven Hygrothermal Behavior of Mycelium-Based Composites for Bio-Based Insulation by Sina Motamedi, Daniel R. Rousse, Geoffrey Promis

“…This study investigates the coupled hygrothermal behavior of mycelium-based composites (MBCs) as a function of their microstructural organization, governed by fungal species, substrate type, additive incorporation, and treatment method. …”
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Modeling of binary nanooxides with solid solutions and mixed phases by V. M. Gun’ko

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A Multiscale Compositional Numerical Study in Tight Oil Reservoir: Incorporating Capillary Forces in Phase Behavior Calculation by Junqiang Wang, Li Wu, Qian Sun, Ruichao Zhang, Wenbin Chen, Haitong Yang, Shuoliang Wang

“…Due to the pronounced capillary forces in their nanopores, phase behavior differs markedly from that in conventional reservoirs, challenging traditional equations of state and numerical simulation methods. This paper presents a multiscale compositional numerical simulation method that incorporates capillary forces, leveraging the parallel advantages of the multiscale finite volume method. …”
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