EFFECT OF OXIDATIVE STRESS ON HISTOARCHITECTONICS AND ELEMENTAL COMPOSITION OF BONE TISSUE OF THE VERTEBRAL BODY RATS by S. N. Lukanina, A. V. Sakharov, A. Ye. Prosenko, A. V. Yefremov, K. A. Romanova

“…This paper is concerned with study an influence of the oxidative stress on morphofunctional characteris-tics and elemental composition of bone tissue of the vertebral body rats.Material and methods. …”
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Carbon sequestration, performance optimization and environmental impact assessment of functional materials in cementitious composites by Kailun Chen, Fulin Qu, Zihui Sun, Surendra P. Shah, Wengui Li

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Development of approaches to improving organization structure and staff composition of construction companies in terms of costs by Jawed Serat

“…The paper proposes new approaches to improving organization structure of construction companies aimed at redistributing tasks and functions among employees taking into account the specifics of projects. The developed model allows to optimize staff composition, provide capability of the organization structure to respond promptly to changes in the construction process. …”
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Forensic Analysis of Marijuana: Approaches to Establishing Belonging to Previously Separated Plant Mass by A. N. Khokh, P. S. Voskanyan, A. A. Petrosyan

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Recent advances in metal oxide-biochar composites for water and soil remediation: A review by Hermann Tamaguelon Dzoujo, Victor Odhiambo Shikuku, Sylvain Tome, Aurelle Clandy Ntinkam Simo, Emily C. Ng'eno, Zachary M. Getenga, Marie Annie Etoh, David Daniel Joh Dina

“…Life cycle assessment (LCA), pilot-scale, cost analysis, potential environmental risks, and machine learning modelling studies are found to be lacking for metal-biochar composites and provide areas for future research.…”
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Mapping the Fat: How Childhood Obesity and Body Composition Shape Obstructive Sleep Apnoea by Marco Zaffanello, Angelo Pietrobelli, Giorgio Piacentini, Thomas Zoller, Luana Nosetti, Alessandra Guzzo, Franco Antoniazzi

“…<b>Conclusions</b>: Despite advances in the topic, a validated predictive model that integrates these parameters is still lacking in clinical practice. …”
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Predictors of procedural errors in class II resin composite restorations using bitewing radiographs by Abdulrahman A. Balhaddad, Nawaf AlGhamdi, Mohammed Alqahtani, Osama A. Alsulaiman, Ali Alshammari, Malik J. Farraj, Ahmed A. Alsulaiman

“…Objective: To identify the potential factors that induce procedural errors during posterior proximal resin composite restorations placed by dental students. Materials and Methods: This retrospective study evaluated 803 bitewing radiographs of posterior proximal resin composite restorations placed by dental students at Imam Abdulrahman bin Faisal University. …”
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Optimization of the fin structure from polymer composite materials using bioinspired structural layouts by S. V. Baranovsk, Lin Zay Yar

“…It has become practical to create new promising structural layouts due to the development of technologies for manufacturing products from composite materials, including additive manufacturing and 3D printing as well as developing methods of mathematical modeling and computer-assisted design. …”
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Chemical composition and physiological bioactivities of Stiefia multicaulis (Vahl) Soják Vahl grown in Palestine by Belal M. Rahhal

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Computational Workflow for the Characterization of Size, Shape, and Composition of Particles and Their Separation Behavior During Processing by Sabrina Weber, Orkun Furat, Tom Kirstein, Thomas Leißner, Urs A. Peuker, Volker Schmidt

“…This study focuses on methods that allow for the computation of multivariate parametric Tromp functions by means of statistical image analysis and copula-based modeling. …”
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Perioperative evaluation of CT-based body composition as predictors of postoperative outcome following pancreaticoduodenectomy by Lina Cai, Sizhen Wang, Yehua Xie, Hengyu Zheng, Daojun Zhu, Yi Xiao, Xinbo Wang, Xianghong Ye

“…Our study was performed to assess whether perioperative CT-based body composition were predictors of morbidity after PD.Methods231 patients who underwent PD between 2020 and 2024 were enrolled to evaluate perioperative body composition. …”
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Body Composition Changes in Latino Population: Longitudinal Associations of Fat and Muscle Mass Indices by Rosero‐Revelo Ricardo, Mateo Tamayo, Ricardo Correa, Bartolome Burguera, Marcio L. Griebeler

“…Chi‐square tests evaluated categorical shifts in classifications, while multinomial logistic and linear regression models identified factors associated with fat and muscle mass changes, adjusting for sex, age, and baseline composition metrics. …”
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pH-Responsive Liposome–Hydrogel Composite Accelerates Nasal Mucosa Wound Healing by Yingchao Yang, Jingyi Chen, Shengming Wang, Yaxin Zhu, Yao Wang, Yan Chen, Mingjiang Xia, Ming Yang, Hongliang Yi, Kaiming Su

“…<b>Methods</b>: The composite combined acylhydrazone-modified liposomes with a hydrogel synthesized from hydroxyethylacrylamide (HEAA) and diethylacrylamide (DEAA). …”
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Composites in high-pressure hydrogen storage: A review of multiscale characterization and mechanical behavior by Imen Feki, Mohammadali Shirinbayan, Samia Nouira, Robert Tie Bi, Jean-Baptiste Maeso, Cedric Thomas, Joseph Fitoussi

“…Findings emphasize the importance of multiscale coupling from macro to microstructure to achieve accurate modeling and prediction of composite behavior. Insights from this research aim to optimize the design and durability of hydrogen storage systems, enabling safer and more efficient implementation in the automotive sector. …”
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Composite dietary antioxidant index and lung cancer risk: insights from the UK biobank by Yi Feng, Xiuxia Fu, Bo Cheng, Peiling Chen, Zixun Wang, Juan He, Xiangyuan Zheng, Xinyi Wu, Xin Bi, Minyu Dong, Jianxing He, Wenhua Liang

“…Methods Using prospective data from the UK Biobank, this study employed Cox proportional hazards regression models to evaluate the relationship between CDAI and lung cancer risk, and restricted cubic spline analyses were used to explore potential nonlinear associations. …”
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Effect of charcoal-containing toothpastes on roughness and color stability of bulk-fill resin composites by Waldemir Francisco Vieira Junior, Rafaella Queiróz Costa, Leonardo Santos Barros, Mariana Mayume Mori, Cecilia Pedroso Turssi, Fabiana Mantovani Gomes França, Núbia Inocencya Pavesi Pini, Roberta Tarkany Basting

“… Objective: To evaluate the effects of different commercially available charcoal-based toothpastes (CBTs) on the roughness and color of bulk-fill resin composites (RCs). Materials and Methods: Disc-shaped samples (6 × 2 mm) were made with nanofilled (NF) bulk-fill (Filtek One, 3M Oral Care) or nanohybrid (NH) bulk-fill (Aura, SDI) RCs. …”
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Body Composition Profiles and Associated Factors in Adolescents UndergoingLong-term Regular Exercise by WANG Yutong, GUO Xiaoyuan, DU Hanze, PAN Hui, WANG Wei, ZHANG Mei, BAN Bo, LI Ping, ZHANG Xinran, ZHANG Qiuping, SUN Hongshuang, LI Rong, CHEN Shi

“…ObjectiveTo investigate body composition and associated factors in adolescents undergoing long-term regular sports training.MethodsThis prospective longitudinal cohort study employed convenience sampling to recruit adolescents receiving structured athletic training at Jining Sports Training Center in June 2023. …”
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Emergent B2 chemical orderings in the AlTiVNb and AlTiCrMo refractory high-entropy superalloys studied via first-principles theory and atomistic modelling by Christopher D Woodgate, Hubert J Naguszewski, David Redka, Ján Minár, David Quigley, Julie B Staunton

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Springback Prediction of Sandwich Panel Using Machine Learning Methods by Raja Ouled Ahmed Ben Ali, Sami Chatti

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Machine learning prediction of metabolic dysfunction-associated fatty liver disease risk in American adults using body composition: explainable analysis based on SHapley Additive e... by Yan Hong, Xinrong Chen, Ling Wang, Fan Zhang, ZiYing Zeng, Weining Xie

“…This study aimed to develop and validate machine learning (ML) models for predicting MAFLD using detailed body composition metrics and to explore the relative contributions of adipose tissue features through explainable ML techniques.MethodsData from the 2017–2018 National Health and Nutrition Examination Survey (NHANES) were used to construct predictive models based on anthropometric, demographic, lifestyle, and clinical variables. …”
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