Determination of chemical composition, in vitro dry matter digestibility and in vitro gas production of forage by near-infrared reflectance spectroscopy by Andrej LAVRENČIČ, Bruno STEFANON, Barbara TOSO, Piero SUSMEL

“…One hundred dried samples of forage, harvested three or four times during 1997 and 1999 in different morphological stages were analysed for chemical composition, in vitro dry matter digestibility (IVDMD; Tilley and Terry, 1963) and in vitro gas production (Menke and Steingass, 1988) by laboratory methods and by near infrared reflectance spectroscopy (NIRS). …”
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Graphitic mesoporous carbon-silica composites from low-value sugarcane by-products for the removal of toxic dyes from wastewaters by Intuorn Janekarn, Andrew J. Hunt, Yuvarat Ngernyen, Sujittra Youngme, Nontipa Supanchaiyamat

“…Adsorption on the 800°C prepared carbon-silica composites demonstrated an excellent fit with the Langmuir isotherm and the pseudo-first-order kinetic model.…”
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Comprehensive Quantitative Analysis of Coal-Based Liquids by Mask R-CNN-Assisted Two-Dimensional Gas Chromatography by Huan-Huan Fan, Xiang-Ling Wang, Jie Feng, Wen-Ying Li

“…Therefore, the development of a method for accurately and rapidly analyzing chromatograms is crucial for understanding the chemical compositions and structures of coal-based liquids, such as direct coal liquefaction (DCL) oils and coal tar. …”
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The Application of Near-Infrared Spectroscopy Combined with Chemometrics in the Determination of the Nutrient Composition in Chinese <i>Cyperus esculentus</i> L. by Xiaobo Jiao, Dongliang Guo, Xinjun Zhang, Yunpeng Su, Rong Ma, Lewen Chen, Kun Tian, Jingyu Su, Tangnuer Sahati, Xiahenazi Aierkenjiang, Jingjing Xia, Liqiong Xie

“…The nutritional content of tiger nut (<i>Cyperus esculentus</i> L.) is abundant, rich in oil, protein, and starch. Conventional methods for assessing the nutrient composition of tiger nuts (TNs) are time-consuming and labor-intensive. …”
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Effects of blood flow restriction training on cardiometabolic health and body composition in adults with overweight and obesity: a meta-analysis by Hao Kong, Yilin Zhang, Mingyue Yin, Kai Xu, QingGuo Sun, Yun Xie, Olivier Girard

“…ObjectiveThis meta-analysis aims to evaluate the effects of blood flow restriction (BFR) training on cardiometabolic health and body composition in adults with overweight and obesity.MethodFollowing PRISMA guidelines, a systematic search of PubMed (MEDLINE), EMBASE, Web of Science, Cochrane, and Scopus databases was conducted on 15 March 2024. …”
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A composite risk score to identify older adults at high risk of hearing loss in a community screening program by Juan Juan Li, Wei Xiang Gao, Jiao Wang, Yan Hong Zhang, Fei Ji, Yao Dan Yuan, Peng Zhang, Fang Ma, Lin Xu, Xian Hai Zeng

“…Methods We conducted a cross-sectional study using data from a community-based health screening program in Shenzhen, China. …”
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Exploring associations among pro-inflammatory cytokines, osteoarthritis, and gut microbiome composition in individuals with obesity using machine learning by Cameron Kurz, Liubov Arbeeva, M. Andrea Azcarate-Peril, Delisha A. Stewart, B. Duncan X. Lascelles, Richard F. Loeser, Amanda E. Nelson

“…LDA regression models were used to evaluate associations of enterotypes with demographics, cytokines associated with OA, and LPS. …”
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Post-Natural Disasters Emergency Response Scheme Selection: An Integrated Application of Probabilistic T-Spherical Hesitant Fuzzy Set, Penalty-Incentive Dynamic Attribute Weights,... by Xuefeng Ding, Zijiang Pei

“…Subsequently, Pt-SHFS is integrated with the best–worst method (BWM) to determine subjective weights, followed by the structured CRITIC method to amalgamate subjective weights and derive the final combination weights of criteria. …”
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Evaluation of Health Associations With Height‐Normalised Abdominal Body Composition Indices: A Single‐Centre Cross‐Sectional Study by Yupeng Liu, Hangqian He, Keyu Qian, Yufeng Huang, Xuemei Ao, Xudong Shi, Binye Ruan, Ru Xue, Xiaoyi Fu, Shuran Wang

“…This study introduces height‐normalised indices of abdominal adiposity using computed tomography (CT) scans and further assesses their associations with various health outcomes. Methods In a large, diverse Chinese population (n = 1054 healthy individuals; n = 1159 with dyslipidemia; n = 803 with diabetes; n = 1289 with cardio‐cerebrovascular diseases; n = 1108 with cancers; and n = 509 with abnormal bone mas), abdominal CT scans were performed and allometric growth model analyses were used to derive height‐normalised indices (body composition/heightβ). …”
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Association between different composite dietary antioxidant indexes and constipation in American male adults: a cross-sectional study by Wei Sun, Yuchao Wang, Lu Han, Yinshi Liu, Hongru Liu, Yunbing Tong, Ziying Jiang, Chen Xu, Daqing Sun

“…Modifying dietary patterns can elevate in vivo antioxidant biomarker levels, consequently mitigating oxidative stress. The Composite Dietary Antioxidant Index (CDAI) provides a dependable scoring mechanism for quantifying the potential antioxidant capacity of diets. …”
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Simulation of the process of cryogenic freezing of coriander seeds by N. V. Sterekhova, Z. A. Meretukov, S. Y. Gonezhuk, R. G. Shishova

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C-reactive protein orchestrates acute allograft rejection in vascularized composite allotransplantation via selective activation of monocyte subsets by Jurij Kiefer, Johannes Zeller, Laura Schneider, Julia Thomé, James D. McFadyen, Isabel A. Hoerbrand, Friederike Lang, Emil Deiss, Balázs Bogner, Anna-Lena Schaefer, Nina Chevalier, Verena K. Horner, Sheena Kreuzaler, Ulrich Kneser, Martin Kauke-Navarro, David Braig, Kevin J. Woollard, Bohdan Pomahac, Karlheinz Peter, Steffen U. Eisenhardt

“…Thus, we investigated how CRP impacts acute allograft rejection. Methods: Prompted by clinical observations in facial VCAs, we employed a complex hindlimb transplantation model in rats to investigate the direct impact of CRP on transplant rejection. …”
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Modeling the train operation of the mainline locomotive by A. G. Silyuta, E. E. Kossov

“…The drawback of modeling the train motion using the traction calculation method is the obtaining of a local unimportant result for a particular section of the track. …”
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UCAP:a PCL secure user authentication protocol in cloud computing by Xuefeng LI, Junwei ZHANG, Jianfeng MA

“…As the combine of cloud computing and Internet breeds many flexible IT services,cloud computing becomes more and more significant.In cloud computing,a user should be authenticated by a trusted third party or a certification authority before using cloud applications and services.Based on this,a protocol composition logic (PCL) secure user authentication protocol named UCAP for cloud computing was proposed.The protocol used a symmetric encryption symmetric encryption based on a trusted third party to achieve the authentication and confidentiality of the protocol session,which comprised the initial authentication phase and the re-authentication phase.In the initial authentication phase,the trusted third party generated a root communication session key.In the re-authentication phase,communication users negotiated a sub session key without the trusted third party.To verify the security properties of the protocol,a sequential compositional proof method was used under the protocol composition logic model.Compared with certain related works,the proposed protocol satisfies the PCL security.The performance of the initial authentication phase in the proposed scheme is slightly better than that of the existing schemes,while the performance of the re-authentication phase is better than that of other protocols due to the absence of the trusted third party.Through the analysis results,the proposed protocol is suitable for the mutual authentication in cloud computing.…”
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Linguistic-Cognitive Text Model “Description” by Y. N. Varfolomeeva

“…The article focuses on revising the composition of a text model of the “description” type in the light of the linguistic-cognitive approach. …”
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Integration of Immunometabolic Composite Indices and Machine Learning for Diabetic Retinopathy Risk Stratification: Insights from NHANES 2011 – 2020 by Cui Xuehao, MD, PhD, Wen Dejia, MD, Li Xiaorong, PhD

“…Eight ML models, including ensemble methods, were developed to predict DR risk, with feature importance determined by SHapley Additive exPlanations. …”
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Silicon and Manganese Effect on the Phase Composition of an Al-Fe Alloy and the Use of the ThermoCalc Software Complex for Thermodynamic Analysis by Bakhtiyar Suleyev, Aristotel Issagulov, Ardak Dostayeva, Dastan Aubakirov, Togzhan Sultanbek

“…This study examines the effect of silicon and manganese addition on the phase composition and electrical properties of Al-Fe alloys using both experimental methods and thermodynamic modeling with the ThermoCalc software package. …”
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Body composition and functional capacity as determinants of physical activity in middle-aged and older adults: a cross-sectional analysis by Matti Hyvärinen, Anna Kankaanpää, Timo Rantalainen, Taina Rantanen, Eija K. Laakkonen, Laura Karavirta

“…The associations between the measures of body composition and physical activity were fully explained by the differences in functional capacity, as defined by both walking performance and muscle strength, in structural equation models. …”
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A Generalized Composition Approach in Network Data Envelopment Analysis for Complex Structures: An Application of Higher Education Institutions in Poland by Dimitrios Sotiros, Gregory Koronakos, Julia Żołądkiewicz

“…We show that these pitfalls are the cause of deficiencies of prevalent models employed for general series structures. To overcome these issues, we build a general composition approach that can be applied to units with any type of structure. …”
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The relationship between cardiorespiratory fitness and indices of fat mass and fat-free mass in adults by Collin J. Popp, Elliot D. Jesch

“…The associations between body composition (FMI, FFMI), and CRF were examined using multiple linear regression models adjusting for sex (model 1) and TDEE (model 2).ResultsParticipants were young (age: 24 ± 9 year), 64% female, with a BMI of 25.4 ± 4.9 kg·m−2. …”
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