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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Antiviral Activity of Double-Stranded Ribonucleic Acid and Interferon Alpha Composition in the Model of Experimental Influenza Infection of Mice by S. G. Gamaley, М. O. Skarnovich, E. V. Makarevich, О. Yu. Mazurkov, L. N. Shishkina, О. S. Ivanova, G. M. Levagina, Е. D. Danilenko

“…The aim of this work was to study antiviral activity of intranasal forms of the pharmaceutical compositions containing yeast dsRNA and recombinant human interferon-alpha-2b in a model of lethal influenza infection in mice. …”
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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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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

“…SHAP values revealed that subcutaneous adipose tissue index (SAI), visceral adipose tissue index (VAI), skeletal muscle density (SMD), visceral-to-subcutaneous adipose tissue ratio (VSR), and subcutaneous adipose tissue density (SAD) were the five most important variables influencing all-cause mortality post-LaTME.ConclusionBy integrating body composition, multiple ML predictive models were developed and validated for predicting all-cause mortality after rectal cancer surgery, with the XGBoost model exhibiting the best performance.…”
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A multidimensional machine learning framework for LST reconstruction and climate variable analysis in forest fire occurrence by Hatef Dastour, Quazi K. Hassan

“…Land Surface Temperature (LST) datasets play a crucial role in understanding the complex interplay between forest fires, climate variables, and vegetation dynamics. This study is divided into two primary parts: the first part investigates the predictive performance of a machine learning framework based on CatBoost and XGBoost models in estimating LST across different land cover classes in Alberta, Canada. …”
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Intra-Site Variability in the Still Bay Fauna at Blombos Cave: Implications for Explanatory Models of the Middle Stone Age Cultural and Technological Evolution. by Emmanuel Discamps, Christopher Stuart Henshilwood

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A Panchromatic Characterization of the Evening and Morning Atmosphere of WASP-107 b: Composition and Cloud Variations, and Insight into the Effect of Stellar Contamination by Matthew M. Murphy, Thomas G. Beatty, Everett Schlawin, Taylor J. Bell, Michael Radica, Thomas D. Kennedy, Nishil Mehta, Luis Welbanks, Michael R. Line, Vivien Parmentier, Thomas P. Greene, Sagnick Mukherjee, Jonathan J. Fortney, Kazumasa Ohno, Lindsey Wiser, Kenneth Arnold, Emily Rauscher, Isaac R. Edelman, Marcia J. Rieke

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A predictive model for body water and fluid balance using 3D smartphone anthropometry by Austin J. Graybeal, Abby T. Compton, Sydney H. Swafford, Caleb F. Brandner, Molly F. Johnson, Maria G. Kaylor, Hunter Haynes, Jon Stavres

“…Fluid overload and imbalance were determined using ECF/TBW and ECF/ICF, respectively, and subsequently predicted from the retained variables using receiver operating characteristic curve analyses and logistic regression.ResultsEstimates from each of the newly-developed prediction models were not significantly different from the estimates produced using BIS (all p ≥ 0.70) and revealed acceptable agreement (TBW: R2 = 0.91, RMSE = 3.24 L; ECF: R2 = 0.94, RMSE = 1.10 L; ICF: R2 = 0.87, RMSE = 2.29 L) when evaluated in the testing sample (n = 66), although proportional bias was observed (p < 0.001). …”
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Assessing future risk of humanitarian crises using projections of climate-related hazards, population, conflict and other socioeconomic variables within the INFORM framework by Sepehr Marzi, Karmen Poljanšek, Eleni Papadimitriou, Daniele Dalla Valle, Andrea Salvi, Christina Corbane

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Anisotropic model observing pulsars from Neutron Star Interior Composition with modified Van der Waals equation of state by S. A. Mardan, A. Khalid, Rubab Manzoor, Muhammad Bilal Riaz

“…Abstract This paper is designed for heavy pulsars coming from the Neutron Star Interior Composition Explorer. The research model is describe by Einstein field equations for anisotropic fluid configuration with spherical symmetry. …”
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Comparison of the Symmetric and Asymmetric Generalized Autoregressive Conditional Heteroscedasticity (GARCH) Models in Forecasting the 2018-2023 Jakarta Composite Index by Yenni Angraini, Adelia Putri Pangestika, I Made Sumertajaya

“…Hence, it is interesting to compare the forecasting accuracy of symmetric and asymmetric Autoregressive Conditional Heteroskedasticity (ARCH) models in various data conditions. The research aimed to compare the accuracy of the symmetric ARCH/ Generalized Autoregressive Conditional Heteroscedasticity (GARCH) and asymmetric TGARCH models in forecasting weekly Jakarta Composite Index (JCI) data on January 1st, 2018, to April 24th, 2023, by involving the influence of COVID-19 as a covariate variable and applying several validation scenario models to training and testing data. …”
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Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm by Vinoth Viswanathan, Sathiyamurthy Subbarayan, Ananthi Narayanaswamy, Devi Panneerselvam, Prabhakaran Jayasankar

“…A triangular membership function was employed to define all these variables. The effectiveness of the nonlinear regression analysis and fuzzy logic model was evaluated through confirmatory experiments. …”
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Evaluating microstructural and machine learning predictive models for friction drilling of sustainable snail shell reinforced aluminium matrix composites by Rajesh Jesudoss Hynes Navasingh, R. Sankaranarayanan, Priyanka Mishra, Angela Jennifa Sujana J, Jebasingh Jeremiah Rajesh, Jana Petru

“…Abstract For lightweight automotive applications, friction drilling is a choice candidate for ecofriendly drilling of aluminium matrix composites (AMCs) with green snail shell reinforcement. …”
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Bulk System Reliability Assessment Incorporating Nodal Correlations in Supply–Demand Variabilities and Uncertainties Created with Net-Zero Emission Targets by Deeksha Sharma, Rajesh Karki

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WHAT IF PRICES CHANGE? ANALYSIS OF INTERNATIONAL TOURIST MARKET SEGMENTS' COMPOSITION IN THE FACE OF INFLATION FLUCTUATIONS by Jesús Barreal Pernas, Julio Vena Oya, Juan Antonio Parilla González

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Fatigue Design Research on Notch–Stud Connectors of Timber–Concrete Composite Structures by Zuen Zheng, Shuai Yuan, Guojing He

“…Using residual slip as the damage variable, a two-stage fatigue damage evolution model was constructed from the damage–cycle ratio relationship, offering a new method for shear connector fatigue damage calculation in timber–concrete composites and enabling remaining life prediction for similar composite beam connectors. …”
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Monitoring Spatial-Temporal Variability of Vegetation Coverage and Its Influencing Factors in the Yellow River Source Region from 2000 to 2020 by Boyang Wang, Jianhua Si, Bing Jia, Xiaohui He, Dongmeng Zhou, Xinglin Zhu, Zijin Liu, Boniface Ndayambaza, Xue Bai

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COMPOSITE LEVER METHOD FOR POWER FLOW ANALYSIS OF LOOP-TYPE COMPOUND EPICYCLIC GEAR SYSTEM by XU Lin, LIU Kai, CUI YaHui, WANG HongJiang, ZHANG BaoFeng, LIU XiaoLin

“…Based on the lever model of a single epicyclic gear train, combined with the structural characteristics of the coupled system, used the superposition principle, a composite lever model reflecting the characteristics of the loop system is established. …”
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Effect of toolpath in large-format additive manufacturing with bio-derived composites by Eonyeon Jo, Katie Copenhaver, Halil Tekinalp, Tyler Smith, Hsin Wang, Uday Vaidya, Soydan Ozcan, Seokpum Kim

“…While numerical modelling has been extensively employed to simulate numerous manufacturing processes, its application in LFAM with bio-derived composites remains limited. …”
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Reliability and mechanical performance of timber–concrete composite beams in the non-linear domain by Nabil Daanoune, Nassim Kernou, Mamoun Fellah, Gamal A. El-Hiti

“…The structural reliabilities of the beams were assessed using the MCS, FORM, and SORM methods, in which the geometric and mechanical input characteristics were treated as random variables. Certain parameters significantly affect beam failure, such as the timber’s bending resistance, the concrete’s compressive resistance, and the degree of composite action.…”
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