AI-Enhanced Photovoltaic Power Prediction Under Cross-Continental Dust Events and Air Composition Variability in the Mediterranean Region by Pavlos Nikolaidis

“…Using machine learning methods, particularly regression trees, the proposed approach evaluates the impact of key environmental variables on PV performance, with an emphasis on atmospheric dust transport and air composition variability. …”
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Variability in the composition of hydrocarbon compounds in the Jurassic oil-andgas-bearing strata of the Kamennaya crest of the Krasnoleninsky arch (Western Siberia) by M. S. Tikhonova, A. G. Kalmykov, D. A. Ivanova, O. N. Vidishcheva, I. O. Khomyachkova, M. A. Bolshakova, T. A. Ryazanova, R. S. Sautkin, G. A. Kalmykov

“…The aim of the work was both to study the possible migration of hydrocarbons along the section and area and to assess the variability of the bitumen composition in rocks relative to the structural plan of the area of interest, along the section, as well as unconventional reservoirs. …”
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Coupled shifts in DOM composition and microbial community structure lead to variable biodegradation rates in thermokarst-affected permafrost stratigraphies by Erin N. MacDonald, Alireza Saidi-Mehrabad, Brian Lanoil, Gabriela Lech, Suzanne E. Tank

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ALGORITHM FOR OPTIMIZING THE COMBUSTION PROCESS OF ASSOCIATED PETROLEUM GAS IN THERMAL POWER PLANTS, TAKING INTO ACCOUNT THE VARIABILITY OF ITS COMPOSITION by V. M. Larionov, E. R. Saifullin, S. A. Nazarychev, A. O. Malahov, Y. V. Vankov

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Heart rate variability, daily cortisol indices and their association with psychometric characteristics and gut microbiota composition in an Italian community sample by Sebastiano Ravenda, Leonardo Mancabelli, Sara Gambetta, Margherita Barbetti, Francesca Turroni, Luca Carnevali, Marco Ventura, Andrea Sgoifo

“…Participants were assessed for vagally-mediated HRV, daily salivary cortisol levels, psychometric characteristics, and gut microbiota composition. Using a categorical approach based on the median split of HRV and cortisol values, we identified an association between low vagally-mediated HRV, greater depressive symptomatology, and altered gut microbiota (e.g., a higher abundance of Prevotella and a smaller abundance of Faecalibacterium, Alistipes, and Gemmiger). …”
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Uncertain Parameter Numerical Model Updating According to Variable Modal Test Data in Application of Large Composite Fuselage Panel by Marcin Luczak, Antonio Vecchio, Bart Peeters, Ludo Gielen, Herman Van der Auweraer

“…This paper presents a novel approach in the field of experimental and numerical investigation of mechanical properties of composite structures. It takes into account test data variability resulting from structural dynamic properties measurement and uses them to quantify uncertainties in model parameters updating. …”
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Forest composition influences how seasonal climate variables affect white spruce (Picea glauca (Moench) Voss) growth by Jéssica Chaves Cardoso, Lorne Bedford, Richard Kabzems, Robert M. Sagar, Che M. Elkin

“…However, questions remain about how intra-annual variation in climate variables influence annual growth, and whether stand composition and structure can influence climate conditions and the trees’ responses to weather stress. …”
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How seasonal hydroclimate variability drives the triple oxygen and hydrogen isotope composition of small lake systems in semiarid environments by C. Voigt, C. Voigt, F. Gázquez, F. Gázquez, L. Martegani, L. Martegani, A. I. Sánchez Villanueva, A. I. Sánchez Villanueva, A. Medina, R. Jiménez-Espinosa, J. Jiménez-Millán, M. Rodríguez-Rodríguez

“…<p>This research investigates the influence of seasonal hydroclimate variability on the triple oxygen and hydrogen isotope composition of small, shallow lake systems that show substantial intra-annual and interannual fluctuations in the water level. …”
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AERO-MAP: a data compilation and modeling approach to understand spatial variability in fine- and coarse-mode aerosol composition by N. M. Mahowald, L. Li, J. Vira, M. Prank, D. S. Hamilton, H. Matsui, R. L. Miller, P. L. Lu, P. L. Lu, E. Akyuz, D. Meidan, P. Hess, H. Lihavainen, C. Wiedinmyer, J. Hand, M. G. Alaimo, C. Alves, A. Alastuey, P. Artaxo, A. Barreto, F. Barraza, S. Becagli, G. Calzolai, S. Chellam, Y. Chen, P. Chuang, D. D. Cohen, C. Colombi, E. Diapouli, G. Dongarra, K. Eleftheriadis, J. Engelbrecht, C. Galy-Lacaux, C. Gaston, D. Gomez, Y. González Ramos, Y. González Ramos, R. M. Harrison, C. Heyes, B. Herut, B. Herut, P. Hopke, P. Hopke, C. Hüglin, M. Kanakidou, M. Kanakidou, M. Kanakidou, Z. Kertesz, Z. Klimont, K. Kyllönen, F. Lambert, F. Lambert, X. Liu, R. Losno, F. Lucarelli, W. Maenhaut, B. Marticorena, R. V. Martin, N. Mihalopoulos, N. Mihalopoulos, Y. Morera-Gómez, A. Paytan, J. Prospero, S. Rodríguez, S. Rodríguez, P. Smichowski, D. Varrica, B. Walsh, C. L. Weagle, X. Zhao

“…Here, we present a new compilation of PM<span class="inline-formula">_2.5</span> and PM<span class="inline-formula">₁₀</span> surface observations, including measurements of aerosol composition, focusing on the spatial variability across different observational stations. …”
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Contrasting Roles of Intraspecific Trait Variability and Species Turnover in Shaping Functional Composition During Vegetation Restoration on the Loess Plateau by Yuting Yang, Zhifei Chen, Xiangtao Wang, Junqin Li, Yang Gao, Puchang Wang, Zhongming Wen

Subjects: “…community functional composition…”
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Robust Variable Selection via Bayesian LASSO-Composite Quantile Regression with Empirical Likelihood: A Hybrid Sampling Approach by Ruisi Nan, Jingwei Wang, Hanfang Li, Youxi Luo

“…To address this critical limitation, we propose a novel empirical likelihood (EL)-based variable selection framework that integrates a Bayesian LASSO penalty within the composite quantile regression framework. …”
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Variability of the component composition of the essential oil of <i>Artemisia salsoloides</i> Willd. from natural populations of the flora of Dagestan by F. A. Vagabova, A. M. Aliev, G. K. Radzhabov, M. M. Mallaliev

“…To study the variability of the gathering locality and componen t composition of essential oil from the aerial part of a little‐studied species – Artemisia salsoloides Willd. depending on abiotic environmental factors, such as height above the level of the place of growth. …”
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Amino Acid Composition of Dried Bovine Dairy Powders from a Range of Product Streams by Simon R. Gilmour, Stephen E. Holroyd, Maher D. Fuad, Dave Elgar, Aaron C. Fanning

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The variability of climate in Indian Ocean sector of East Antarctica over the past 350 years by D. O. Vladimirova, A. A. Ekaykin, V. Ya. Lipenkov

“…The relationship of temporal variability of isotopic composition of precipitation and surface air temperature in ensemble with sea surface temperature has been analyzed. …”
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Efecto del entrenamiento en pretemporada en las variables antropométricas y derivadas en jugadores de baloncesto de élite (Effect of preseason training on anthropometric and deriv... by Mario Albaladejo, Raquel Vaquero-Cristóbal, Francisco Esparza-Ros

“… El objetivo de este estudio fue analizar los efectos provocados por un periodo de entrenamiento en la pretemporada sobre las variables antropométricas y derivadas en jugadores de baloncesto de élite. …”
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Optimization of the composition of polysaccharide-based composite films as a potential food packaging material by T. V. Kryuk, T. G. Tyurina, O. S. Popova, N. A. Romanenko, G. P. Goncharuk, E. N. Trush

“…It is possible to obtain film materials for food packaging on the basis of corn starch and sodium carboxymethyl cellulose provided that small amounts of polyvinyl alcohol (PVA), citric acid (CA) and glycerol (Gl) are added to the polymer composition. The paper presents the results of the composition optimization of such films using the response surface methodology. …”
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Predicting Chemical Body Composition Using Body Part Composition in Boer × Saanen Goats by Izabelle A. M. A. Teixeira, Adrian F. M. Ferreira, José M. Pereira Filho, Luis O. Tedeschi, Kleber T. Resende

“…These body parts were used to develop prediction models for estimating body composition. The neck, loin, and 9–11th ribs accurately and precisely predicted the dry matter, ash, fat, protein, and energy body composition of goats, with most models also incorporating BW as a predictor variable. …”
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A Novel Hybrid Genetic Modified Colliding Bodies Optimization for Designing of Composite Laminates by Mojtaba Sheikhi Azqandi

Subjects: “…composite materials…”
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Influence of dry-wet cycles on the strength behavior of biopolymer and fiber composite modified loess by Zherui Liang, Changgen Yan, Yihan Cao, Yuling Shi, Han Bao, Huaixin Li

Subjects: “…Composite loess…”
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Some Results on Composition of Analytic Functions in a Unit Polydisc by Petro Kurliak, Oleh Skaskiv, Andriy Bandura

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