Nutrition & Sports by Thiel C, Gabrys L, Vogt L

“…The registration of accelerations of body segments like hip or wrist has become established as an objective method to measure physical activity and sedentary behavior and estimate activity-related energy expenditure in the field. …”
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A Combined Control Strategy for Vibration Mitigations of a Suspension Bridge Induced by Vehicle Braking Force by Meng-Gang Yang, Chun-Sheng Cai, Biao Wei

“…Firstly, the vehicle composition and the braking force models of the Pingsheng Bridge are obtained by traffic survey and testing results, respectively. …”
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THE ANALYSIS OF FACTORS THAT SHAPE THE QUALITY OF FUNCTIONAL FOOD PRODUCTS PRODUCED IN THE RUSSIAN FEDERATION by N. V. Shelepina

“…The paper presents a generalization of data on the classification of functional foods and functional ingredients in their composition, design methods and technologies for the production of functional food products. …”
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Analysis of the speed and curvature of the trajectory in the problem of pursuing a set of targets by A. A. Dubanov

“…In the group model of pursuing multiple goals, the pursuers try to adhere to a network of predictable trajectories.Materials and Methods. …”
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Effect of material and spoke pattern on the strength and fatigue life of automotive wheels by Mostafizur Rahman, Md Shariful Islam, Md Arifuzzaman, Md Abdullah Al Bari

“…First, a fixed spoke pattern was evaluated across the three materials, with the best material selected using a scoring method incorporating mass, stress, and deformation. …”
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Optimizing Boride Coating Thickness on Steel Surfaces Through Machine Learning: Development, Validation, and Experimental Insights by Selim Demirci, Durmuş Özkan Şahin, Sercan Demirci, Armağan Gümüş, Mehmet Masum Tünçay

“…In this study, a comprehensive machine learning (ML) model was developed to predict and optimize boride coating thickness on steel surfaces based on boriding parameters such as temperature, time, boriding media, method, and alloy composition. …”
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Predicting the sport level in elite male motorcycle speedway riders based on physical profile and experience. by Stefan Szczepan, Zofia Wróblewska, Faye Perkins, Maciej Markowski, Kamil Michalik

“…The riders were divided by the k-means clustering method into three groups of sport level: high (n1 = 31), medium (n2 = 30), low (n3 = 50). …”
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The role of interfacial tension in the size-dependent phase separation of atmospheric aerosol particles by R. Schmedding, A. Zuend

“…</p> <p>We introduce a predictive droplet model based on the Aerosol Inorganic–Organic Mixtures Functional groups Activity Coefficients (AIOMFAC) model. …”
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Estimation of the metabolisable energy requirements of feedlot light lambs and comparison with the U. S. National Research Council predictions by Andrés L. Martínez Marín, Manuela Renna, Claudio Forte, Emanuela Valle, Achille Schiavone

“…It was concluded that the NRC method was precise and accurate enough to support its application for calculating the MER of feedlot light lambs.…”
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Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning anal... by Abhijeet Das

“…This study presents the first comprehensive description of the composition of the surface water in the studied area, demonstrates the effectiveness of improved methods for interpreting intricate data sets to understand the dynamics of water quality, and creating a foundation for improved surface water management in this complex system of volcanic aquifers.…”
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A comparison between radiomic biological age and chronological age in estimating kidney function by Radin Alikhani, Steven R. Horbal, Manjunath P. Pai

“…The radiomic biological age model offered a modest improvement over the chronological age model. …”
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The causal effect of gut microbiome on pulmonary artery hypertension based on a two-sample Mendelian randomization study by Detian Jiang, Yuxin Chang, Xiaowen Zhen, Xin Zhao

“…Various MR methods were employed, including inverse variance weighted, MR-Egger, weighted median, weighted model, and simple mode, and instrumental variable heterogeneity was assessed using Cochran’s Q statistics. …”
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Comprehensive assessment and material analysis of a heritage structure: proposing an effective restoration and retrofitting strategy by Prithvi Prabhu, Neethu Urs B A, Tahera, Meghashree M, Adithya Tantri

“…This model includes material-specific repair methods, environmental protection measures, and maintenance protocols. …”
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Mechanism of Anodic Dissolution of Tungsten in Sulfate–Fluoride Solutions by Martin Bojinov, Yoanna Penkova, Iva Betova, Vasil Karastoyanov

“…The model is in good agreement with the spectro-electrochemical data on soluble oxidation products and the surface chemical composition of the passive oxide.…”
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Calibration of disk pasture meter to estimate a fire fuel load (aboveground plant biomass) for fire management in the northeastern steppe of Mongolia by Oyunsanaa Bayambasuren, Ariuntsetseg Lkhagva

“…The disc pasture meter (DPM) is a common, rapid, and nondestructive method for estimating aboveground plant biomass in grasslands. …”
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Stiffness Characteristics of High-Speed Railway Turnout and the Effect on the Dynamic Train-Turnout Interaction by Jingmang Xu, Ping Wang, Xiaochuan Ma, Yuan Gao, Rong Chen

“…In this paper, a transient analysis model is presented to investigate the stiffness characteristics of high-speed railway turnouts based on the finite element method and is applied to optimise the stiffness of railway turnouts. …”
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Risk of Flame Acceleration Due to Accumulation of Unburnt Volatiles in Zero-Gravity Condition by Huiying Wang, Némo Decamps

“…A two-step chemical reaction for gas phase and a soot formation model based on laminar smoke point are used. To calculate thermal radiation from flame, a discrete-ordinates method is coupled with a non-grey model by taking into account the radiative properties of CO, CO₂, H₂O and soot. …”
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Detection and classification of long terminal repeat sequences in plant LTR-retrotransposons and their analysis using explainable machine learning by Jakub Horvath, Pavel Jedlicka, Marie Kratka, Zdenek Kubat, Eduard Kejnovsky, Matej Lexa

“…Previous experimental and sequence studies have provided only limited information about LTR structure and composition, mostly from model systems. To enhance our understanding of these key sequence modules, we focused on the contrasts between LTRs of various retrotransposon families and other genomic regions. …”
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Identification of the financial potential of the franchised tourist network: gnoseological discourse by S.V. Bardash, О.М. Petruk

“…The lack of a universal approach to determining the nature and composition of financial potential does not allow to form adequate methods of its evaluation and further effective use, and the only criterion for the correct application of an approach is its widespread recognition through practice. …”
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Combination ATR-FTIR with Multiple Classification Algorithms for Authentication of the Four Medicinal Plants from <i>Curcuma</i> L. in Rhizomes and Tuberous Roots by Qiuyi Wen, Wenlong Wei, Yun Li, Dan Chen, Jianqing Zhang, Zhenwei Li, De-an Guo

“…The original spectroscopic data were pretreated using derivatives, standard normal variate (SNV), multiplicative scatter correction (MSC), and smoothing (S) methods. Among them, 1D + MSC + 13S emerged as the best pretreatment method. …”
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