MATHEMATICAL MODEL OF QUALITATIVE AND QUANTITATIVE EVALUATION OF INGREDIENT COMPOSITION DURING THE PREPARATION OF HOT FILLING SOUPS by Albert Hamed-Harisovich Nugmanov, Valeriy Mikhaylovich Poznyakovskiy

“…The article describes in detail the mathematical model of the qualitative and quantitative evaluation of the component composition of filling soups in the process of their preparation and the dimensionless criteria included in the model, as well as its practical application. …”
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INTERLAMINAR STRESS ANALYSIS OF INCOMPATIBLE GENERALIZED MIXED ELEMENT MODEL FOR COMPOSITE LAMINATES WITH A HOLE by QING Guanghui, WANG Yonggang, WANG Xie

“…In order to investigate the stress concentration phenomenon and analyze the distribution characteristics of the interlaminar stress in the hole edge region of composite laminates. Based on the generalized mixed variational principle, the generalized mixed finite element model for laminated plates with various stacking modes were established. …”
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Microbiota composition-based donor selection affects FMT efficacy in a murine colitis model by Zhongming Dai, Wen Cheng, Huan Peng, Xiaokui Qiu, Jiawen Sun, Xiaoqiang Liu, Xianjiu Sun, Jinwei Cai, Jincui Wang, Guolong Li, Yongling Lv, Shaobo Chen, Zhongying Zhong

“…BackgroundGrowing evidence links gut microbial dysbiosis to inflammatory bowel disease (IBD) pathogenesis, establishing fecal microbiota transplantation (FMT) as a microbiota-targeted therapy; however, variable outcomes in randomized trials highlight the need to identify compositional features of donor microbiota associated with FMT efficacy.ObjectiveThis study aimed to investigate how the composition of the donor gut microbiota influences the therapeutic efficacy of FMT in IBD.MethodFecal DNA from 39 IBD patients and 42 healthy donors was analyzed via 16S rRNA sequencing. …”
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Multivariate Data Analysis to Assess Process Evolution and Systematic Root Causes Investigation in Tablet Manufacturing at an Industrial Scale—A Case Study Focused on Improving Tab... by Rita Mathe, Tibor Casian, Ioan Tomuta

“…The purpose of this work was to identify the root causes for the low and variable hardness of core tablets prepared using high-shear wet granulation through batch statistical modeling and to verify the short- and long-term effectiveness of the improvement actions. …”
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A statistical study on factors influencing piezoelectric properties of upside-down composites towards machine learning-driven development for recycling by Sivagnana Sundaram Anandakrishnan, Suhas Yadav, Mohadeseh Tabeshfar, Mikko Nelo, Jani Peräntie, Yang Bai

“…This multi-variable approach is also extended to different fabrication techniques. …”
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Evaluation and modelling of the buckling behaviour of SRC composite columns under simultaneous off-axis and lateral loading by Kabir Sadeghi, Javad Royaei, Fatemeh Nouban

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A predictive model for biomass waste pyrolysis yield: Exploring the correlation of proximate analysis and product composition by Sabah Mariyam, Mohammad Alherbawi, Gordon McKay, Tareq Al-Ansari

“…In-depth examination of bio-oil compositions (based on carbon number classifications, and bonding arrangements) and gas composition (carbon monoxide, carbon dioxide, hydrogen, and methane) at varying operating conditions elucidates substantial yield differences, emphasizing the nuanced nature of product compositions. …”
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Multi-function composite data generation and PIMamba model for fault diagnosis in sucker-rod pumping wells by Senhao Ren, Wenqiang Tang, Chao Ma, Li Hou, Xiaodong Chen, Jiashan Lin, Jie Yang, Yun Yang, Xiao Huo, Guoxin Li, Daowei Zhang

“…To overcome these challenges, we propose a multi-function composite data generation paradigm that integrates diverse functional characteristics, generating 11 classes of highly interpretable single-condition images as training data for a prior model. …”
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Novel composite health assessment risk model for older allogeneic transplant recipients: BMT-CTN 1704 by Mohamed L. Sorror, Wael Saber, Brent Logan, Nancy Geller, Anna Bellach, Jianqun Kou, William Wood, John M. McCarty, Thomas G. Knight, Lyndsey Runaas, Laura Johnston, Jeremy Walston, Ryotaro Nakamura, Lori Jarrett, Asmita Mishra, Joseph Uberti, Parastoo B. Dahi, Jennifer N. Saultz, Shannon R. McCurdy, Lawrence E. Morris, Philip H. Imus, William J. Hogan, Kalyan Nadiminti, Vijaya Raj Bhatt, Rebecca Olin, Joseph Maakaron, Ronald Sobecks, Sarah A. Wall, Deborah Mattila, Bailey Protz, Steven M. Devine, Mary M. Horowitz, Andrew S. Artz

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The impact of soil physical properties on combine harvester efficiency: a composite model from correlation trends by Mohd. Saifur Rahman, Nafis Shahid Fahim, Bodruzzaman Khan, Md. Fahad Jubayer, Tariqul Islam, Md Altaf Hossain

“…The findings reveal that sandy loam soils provide optimal conditions for harvesting efficiency, while loamy sands lead to reduced performance due to lower bearing capacity and increased slippage. The developed composite model accounts for 82.2% of the variability in field efficiency, offering a predictive tool for improving mechanized farming practices. …”
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Characterization of EAF and LF Slags Through an Upgraded Stationary Flowsheet Model of the Electric Steelmaking Route by Ismael Matino, Alice Petrucciani, Antonella Zaccara, Valentina Colla, Maria Ferrer Prieto, Raquel Arias Pérez

“…In this paper, a stationary flowsheet model of the electric steelmaking route is presented; this model enables joint monitoring of key variables related to process, steel and slags. …”
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Study on the Damage Behavior of Engineered Cementitious Composites: Experiment, Theory, and Numerical Implementation by Tingting Ding, Zhuo Wang, Yang Liu, Xinlong Wang, Tingxin Sun, Shengyou Yang

“…It then introduces the concepts of damage energy release rate and energy equivalent strain, and constructs a three-dimensional constitutive model of ECCs by introducing the damage variable function. …”
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Modeling the weaning diet of piglets with fermented feed material: effects on growth performance and health parameters by Sarunas Badaras, Vytaute Starkute, Vytaute Starkute, Ernestas Mockus, Modestas Ruzauskas, Modestas Ruzauskas, Dovile Klupsaite, Erika Mozuriene, Jurgita Dailidaviciene, Agila Dauksiene, Agila Dauksiene, Laurynas Vadopalas, Barbara U. Metzler-Zebeli, Elena Bartkiene, Elena Bartkiene

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Intelligent multi-modeling reveals biological relationships and adaptive phenotypes for dairy cow adaptation to climate change by Robson Mateus Freitas Silveira, Angela Maria de Vasconcelos, Concepta McManus, Luiz Paulo Fávero, Iran José Oliveira da Silva

“…Biological analysis formed seven distinct mechanisms, each associated with specific biological functions and climate-driven effects on physiological and productive traits. 1) Blood traits were related to all milk components; 2) Lipid and energy metabolism, as well as kidney function, are related to the regulation of body temperature and milk composition; 3) Immunity and thyroid hormones are related to radiant thermal load; and 4) Homeostasis is the organic balance maintained between thermoregulatory, hormonal, hematological, productive, and biochemical functions, which are influenced by environmental variables. …”
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Multidisciplinary Design Optimization of the NASA Metallic and Composite Common Research Model Wingbox: Addressing Static Strength, Stiffness, Aeroelastic, and Manufacturing Constr... by Odeh Dababneh, Timoleon Kipouros, James F. Whidborne

“…This study explores the multidisciplinary design optimization (MDO) of the NASA Common Research Model (CRM) wingbox, utilizing both metallic and composite materials while addressing various constraints, including static strength, stiffness, aeroelasticity, and manufacturing considerations. …”
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Optimization of process variables viz., temperature and time for vacuum concentration of pitahaya (Hylocereus polyrhizus) fruit juice, its effect on total soluble solids, water act... by M. X. Rosemary, G. J. Suresh, R. Venugopalan, K. R. Vasudeva, G. K. Sadananda, G. Karunakaran, G. S. K. Swamy

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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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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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Robust Design Optimization of Viscoelastic Damped Composite Structures Integrating Model Order Reduction and Generalized Stochastic Collocation by Tianyu Wang, Chao Xu, Teng Li

“…This study presents a novel approach that integrates model order reduction (MOR) and generalized stochastic collocation (gSC) to enhance robust design optimization (RDO) of viscoelastic damped composite structures under material and geometric uncertainties. …”
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Impact of Different Regimens of Fluoridated Dentifrice Application on the pH and Inorganic Composition in an Oral Microcosm Biofilm Model by Patrícia de Lourdes Budoia de Carvalho, Juliano Pelim Pessan, Bruna do Amaral, Amanda Costa Troncha, Samuel Campos Sousa, Douglas Roberto Monteiro, Thayse Yumi Hosida, Alberto Carlos Botazzo Delbem, Caio Sampaio

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