Composite quantile regression approach to batch effect correction in microbiome data by Jiwon Park, Taesung Park

“…Additionally, to handle nonsystematic batch effects, we employ composite quantile regression. By adjusting the distribution of OTUs to be similar based on a reference batch selected using the Kruskal-Walis test method, we consider the variability at the OTU level.ResultsThe performance of the model is evaluated and compared with existing methods using PERMANOVA R-squared values, Principal Coordinates Analysis (PCoA) plots and Average Silhouette Coefficient calculated with diverse distance-based metrics. …”
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Distinctive features of the biochemical composition sea buckthorn fruits of Altai selection by E. D. Rozhnov, M. N. Shkolnikova, O. V. Chugunova

“…The article presents data on the biochemical composition of sea buckthorn fruits zoned and grown on the territory of the Altai Territory. …”
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Forestry Plans as the Source of Environmental Data for the Analysis of Bird Community Composition by Jakub Šimurda, Petr Šmilauer, Roman Fuchs

“…All vegetation characteristics correlated significantly with bird community diversity and composition. Our findings demonstrate that forest management data can help identify key variability sources in bird communities, aiding in large-scale monitoring and landscape planning. …”
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A Physicochemical and Biological Composite Environment for the Humification of Crop Straw in Compost by Xiangjun Zhao, Bin Li, Chao Zhao, Farman Ali Chandio

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Design and evaluation of BOOGIE: a collector for the analysis of cloud composition and processes by M. Vaitilingom, M. Vaitilingom, C. Bernard, M. Ribeiro, C. Verhaege, C. Verhaege, C. Gourbeyre, C. Berthod, A. Bianco, L. Deguillaume, L. Deguillaume

“…<p>In situ cloud studies are fundamental to study the variability in cloud chemical and biological composition as a function of environmental conditions and assess their potential for transforming chemical compounds. …”
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Community composition and seasonal dynamics of microplastic biota in the Eastern Mediterranean Sea by Keren Davidov, Katherine S. Marsay, Sheli Itzahri, Maxim Rubin-Blum, Paula Sobral, Chana F. Kranzler, Matan Oren

“…This study profiles the seasonal dynamics and taxonomic composition of the plastisphere, the microplastic ecosystem, in the Eastern Mediterranean Sea. …”
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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

“…There has been growing interest in integrating bio-derived composites into Large-format additive manufacturing (LFAM) feedstocks to reduce the use of petroleum-derived materials and reduce the overall carbon footprint of LFAM. …”
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The Diversity of Morphological Traits and Seed Metabolomic Composition in Buckwheat Genetic Resources by Petra Hlásná Čepková, Dagmar Janovská, Maria Bernhart, Pavel Svoboda, Michal Jágr, Vladimir Meglič

“…This study examines the impact of environmental conditions on the growth, yield, and biochemical composition of common buckwheat (<i>Fagopyrum esculentum</i> Moench.) across two locations in Central Europe over three consecutive growing seasons (2019–2021). …”
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Multidimensional assessment of nutritional composition, contaminants and biological properties of bee pollen by Lounès Haroune, Sabrina Saibi, Isabelle Rabbat, Yann Loranger, Mathilde L. Tissier

“…Honey-bee collected pollen is renowned for its nutritional richness and potential health benefits, but compositional variations and contamination are significant challenges. …”
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A composite measurement concept for monitoring cardiac function in Fabry disease by Pooja Nandi, Robert Ellis, Jennifer Hiros, Paul Howard, Biliana O. Veleva-Rotse

“…The clinician advisory board noted a lack of specific diagnostic, monitoring, and prognosis (especially cardiac) tools in FD. The composite measurement concept was developed to capture the signs and symptoms most important to people living with FD, alongside heart-rate variability, electrocardiograms, blood pressure, and quality of life as relevant measures within the cardiac domain that can be staged in a progression model with clear group boundaries. …”
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Trends regarding the living environment and body composition among university students by Ilie Mihai, Larisa Rada, Carmen Enache, Monika Bejtka, Ihor Bakiko, Cristina Ioana Alexe

“…It leads to unfavorable changes in body composition. The purpose of this research is to explore the relationship between body composition and the living environment among female students, specifically examining differences between those from rural and urban areas. …”
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Relationship Between Physical Activity Levels and Body Compositions of University Students by Şükran Arıkan, Serkan Revan

“…As a result, it can be said that there is no significant relationship between body composition variables and physical activity level variables of men and women participating in the research.…”
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Examination of the mechanical and physical characteristics of geopolymer composites reinforced with sisal fibers by Zerihun Getachew Debena, Dilinesaw Bogale Ayenew, Melese Yalew Ayalew, Dawit Damtew Darza, Gezahagn Gebre Geleso, Ewnetu Getu Beyene

“…The investigation targets the impact of independent factors on the compressive, splitting tensile strength, and water absorption of fiber-reinforced geopolymer composite. A Response Surface Methodology(RSM) with box Behnken design(BBD) was used for characterization and to obtain the significance level of the selected variables such as fiber volume (5%, 10%, and 15%), fiber length in mm (5, 20, and 35), and alkali concentration (8 M, 12 M, and 16 M). …”
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Constraint Composite Graph-Based Weighted CSP Solvers: An Empirical Study by Orazio Rillo, T. K. Satish Kumar

“…The Weighted Constraint Satisfaction Problem (WCSP) is a very expressive framework for optimization problems. The Constraint Composite Graph (CCG) is a graphical representation of a given (Boolean) WCSP that facilitates its reduction to a Minimum Weighted Vertex Cover (MWVC) problem by introducing intelligently chosen auxiliary variables. …”
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Differences in Body Composition of Football Players of Two Top Football Clubs by Jovan Gardasevic, Dusko Bjelica, Ivan Vasiljevic, Marin Corluka

“…The significance of the differences between the football players of the top two football clubs in the Anthropometric characteristics and variables for assessing body composition was determined by a t-test for independent samples. …”
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Binary composite crossover genetic algorithm for locating critical slip surface by Wei Qin, Jiancheng Zhao

“…In this paper, we propose a real-coded binary composite crossover genetic algorithm (RGA-BCC) to locate the CSSs of slopes. …”
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Analytical and Numerical Solution of Heat Transfer Equation in Rectangular Composite Fins by Mohsen Hajinejad Sorkhi, Yasser Rostamiyan

“…Today, the use of composites has received widespread attention due to their special properties that cannot be found in alloys. …”
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The Effect of Pilates Exercises Applied to Overweight and Obese Women on Body Composition by Havva Arguz, Şükran İribalcı

“…The aim of this study is to examine the effect of mat pilates exercises applied to sedentary overweight and obese women on body composition. A total of 22 (11 training, 11 control) overweight and obese female individuals aged between 35-65 participated in the study voluntarily. …”
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Failure Probability Analysis of Composite Pressure Tanks Using Subset Simulation by Youcef Sid Amer, Samir Benammar, Kong Fah Tee, Zouhir Iourzikene

“…It was observed from the results that SS has the ability and the accuracy required to evaluate small failure probabilities which are commonly encountered in composite tank applications. In addition, the hoop strength, the internal pressure, and the thickness of the composite are the major design variables that have a great impact on the structural reliability of the axially symmetric composite tank whereas the fiber winding angle has little effect. …”
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A new estimation equation to assess body composition in an athletic population by Meghan K. Magee, Jennifer B. Fields, Angela Miller, Andrew R. Jagim, Debra Stroiney, Brittanie Lockard, Margaret T. Jones

“…Thirty athletes were randomly withheld for the hold-out sample, and the remaining 100 athletes were used in the development of the equation. Body composition was evaluated using ADP and DXA. Linear regression was used to develop a new prediction equation (Equation 1) with body density (ADP) as the independent variable and BF% (DXA) as the dependent variable. …”
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