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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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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Predictive mathematical modeling of biomechanical behavior in all-on-4 implants design: effects of distal implant and occlusal load angulation using RSM based on FEA by Fahri Murat, Sema Nur Sevinç Gül, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy

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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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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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Prediction of technological properties of wheat flour by combination of UV-VIS-NIR spectroscopy and multivariate analysis methods by R. A. Platova, E. V. Zhirkova, D. A. Metlenkin, A. A. Lysenkova, Yu. T. Platov, V. A. Rassulov

“…Over the last decades, optical spectroscopy methods that do not require complex sample preparation have been widely used to identify and control the composition of food products. …”
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PRACTICAL APPLICATION OF AUTHOR'S MODEL TRANSPORT OF MINERAL PARTICLES by M. R. Magomedova

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Refined equations and buckling modes under four-point bending loading of the sandwich test specimen with composite facing layers and a transversely flexible core by V.N. Paimushin, M.V. Makarov

“…Using the compiled equations, a geometrically and physically nonlinear problem of four-point bending of the sandwich specimen was formulated with regard to the physically nonlinear relationship between the transverse shear stresses and the corresponding shear strains in the facing layers. A numerical method stemming from the finite sum method (integrating matrix method) was developed for its solution and post-buckling behavior of specimen was investigated. …”
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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

“…Understanding such changes may help to improve conservation strategies to ensure that bears may be able to adapt to changing environmental conditions.MethodsWith this aim, we assessed the current and future habitat suitability of all nut-producing trees in the Cantabrian Mountains. …”
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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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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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A Review of the Fabrication of Pinhole-Free Thin Films Based on Electrodeposition Technology: Theory, Methods and Progress by Zike Gao, Yuze Jiang, Yao Meng, Minshu Du, Feng Liu

“…In addition, the causes of pinhole defects, the effects of impurities and the potential and electrolyte composition on the deposited films are discussed. In particular, methods for minimising pinhole defects and two exemplary cases for a compact layer in relatively large-scale perovskite solar cells and nano-scale ultramicroelectrodes are discussed, exploring the influence of surface morphology, thickness and fabrication size under current common film preparation experiments. …”
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Extraction of Essential Oils of Rosmarinus officinalis L. by Two Different Methods: Hydrodistillation and Microwave Assisted Hydrodistillation by Majda Elyemni, Bouchra Louaste, Imane Nechad, Taha Elkamli, Abdelhak Bouia, Mustapha Taleb, Mahdi Chaouch, Noureddine Eloutassi

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The effect of end-tabbing methods on the tensile properties of electro-spun highly aligned PAN nano-fibres by Siheng Shao, Surya D. Pandita, Yuting Liu, Boru An, Theresa Morris, Tao Ma, Gerard F. Fernando

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Extending spectral methods to solve time fractional-order Bloch equations using generalized Laguerre polynomials by Danish Zaidi, Imran Talib, Muhammad Bilal Riaz, Md. Nur Alam

“…Comparative analysis is also presented to highlight the efficiency of the method.…”
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Analyzing the Strelitzia Juncea Cellulosic Fibers Mechanical Properties’ Experimental Data Using Various Statistical Methods by Soumia Teyar, Hassina Gheribi, Messaouda Boumaaza, Ahmed Belaadi, Boon Xian Chai, Mahmood M.S. Abdullah, Ibrahim M.H. Alshaikh, Amar Al-Khawlani, Djamel Ghernaout

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