Mathematical modeling of the drying of orange bagasse associating the convective method and infrared radiation by Carolina M. Sánchez-Sáenz, Vânia R. G. Nascimento, João D. Biagi, Rafael A. de Oliveira

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A Model-Based Optimization Method of ARINC 653 Multicore Partition Scheduling by Pujie Han, Wentao Hu, Zhengjun Zhai, Min Huang

“…This paper proposes a model-based optimization method for ARINC 653 multicore partition scheduling. …”
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Modeling and prediction of tribological properties of copper/aluminum-graphite self-lubricating composites using machine learning algorithms by Huifeng Ning, Faqiang Chen, Yunfeng Su, Hongbin Li, Hengzhong Fan, Junjie Song, Yongsheng Zhang, Litian Hu

“…Correlation of friction coefficients and wear rates of copper/aluminum-graphite (Cu/Al-graphite) self-lubricating composites with their inherent material properties (composition, lubricant content, particle size, processing process, and interfacial bonding strength) and the variables related to the testing method (normal load, sliding speed, and sliding distance) were analyzed using traditional approaches, followed by modeling and prediction of tribological properties through five different ML algorithms, namely support vector machine (SVM), K-Nearest neighbor (KNN), random forest (RF), eXtreme gradient boosting (XGBoost), and least-squares boosting (LSBoost), based on the tribology experimental data. …”
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Mechanical constitutive model of stand off damping composites layered rubber core under wide strain rates by Zhangda Zhao, Wenjun Meng, Bijuan Yan, Guansen Qiao, Yuan Qin, Yao Wang, Tao Yang, Hong Ren

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A Dataset on Corn Silage in China Used to Establish a Prediction Model Showing Variation in Nutrient Composition by Shu Zhang, Jian Hao, Donghai Wang, Chenglong Luo, Na Lu, Xiaocen Guo, Yanfang Liu, Zixiao Zhang, Shengli Li

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Modeling of erosion processes in open channels by M. R. Magomedova

“…Approbation of the developed technique on the material of laboratory and field studies confirmed its satisfactory accuracy in a wide range of hydraulic conditions and soil granulometric compositions. Conclusion. The principles of developing a model of erosion processes in open channels, the modular structure of the calculation algorithms and programs compiled on its basis, allow us to continuously improve the methods for calculating individual parameters of the erosion process and make adjustments to the corresponding modules of algorithms.…”
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RBCKF-Based Vehicle State Estimation by Adaptive Weighted Fusion Strategy Considering Composite-State Tire Model by Xi Chen, Xinlong Cheng

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Research on the deformation prediction model of surrounding rock based on SSA-VMD-GRU by Xiao Jiming, Guo Hongyan, Guo Huajun, Hu Juyi, Zhang Zhongzhe

“…Aiming at the problems of nonlinearity, high dynamics, and low prediction accuracy of surrounding rock deformation, this article proposes a time series prediction method based on the sparrow search algorithm (SSA)-variational mode decomposition (VMD)-gated recurrent unit (GRU) deep learning model. …”
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Investigation of process parameter influence on the mechanical properties of FDM-printed PEEK-carbon fiber composites using RSM and Taguchi methods by Muhammad Nasir Bashir, Joon Sang Lee, Mohammed A. Bou-Rabee, Heba G. Mohamed, Ding Zhou, Irfan Anjum Badruddin, M.A. Fazal, Zafar Masood

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Simulated division of flood processes in the composite terrain region based on the multi-layer hydrological process combination model by Qiang Hui, Jungang Luo, Jie Hou, Huhu Cui, Ganggang Zuo

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ANN and machine learning based predictions of MRR in AWSJ machining of CFRP composites by K. Ramesha, N. Santhosh, B. A. Praveena, Banakara Nagaraj, N. Channa Keshava Naik, Quadri Noorulhasan Naveed, Ayodele Lasisi, Anteneh Wogasso Wodajo

“…Abstract This study investigates the effectiveness of Abrasive Water Suspension Jet (AWSJ) Machining, a non-conventional erosion-based method, for machining carbon fiber-reinforced polymer (CFRP) composites. …”
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Predict Unmatching Compositions for Compositional Zero-Shot Learning by Soohyeong Kim, Yong Suk Choi

“…Absence Modeling aims to predict unmatching compositions, allowing the model to learn irrelevant information between attributes and objects, thereby improving its ability to capture interdependencies. …”
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Raman spectroscopy for determination of compositions in liquid–liquid dispersions by Alexandra Weber-Bernard, Jörn Viell

“…Three alternative quantification methods are compared: peak integration, indirect hard modeling, and partial least-squares regression. …”
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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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