The Interannual Variability of Global Burned Area Is Mostly Explained by Climatic Drivers by Andrina Gincheva, Juli G. Pausas, Miguel Ángel Torres‐Vázquez, Joaquín Bedia, Sergio M. Vicente‐Serrano, John T. Abatzoglou, Josep A. Sánchez‐Espigares, Emilio Chuvieco, Sonia Jerez, Antonello Provenzale, Ricardo M. Trigo, Marco Turco

“…Our results reveal complex spatial patterns in the dependence of BA variability on antecedent and concurrent weather conditions, highlighting where BA is mostly influenced by either FWI or SPEI and where the combined effect of both indicators must be considered. …”
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Analysing the most Important Variables Affecting Agricultural Water Security in Mazandaran Province by F. Razzaghi Borkhani, T. Azizi Khalkheili, A.A. Barati

“…Considering the importance of irrigated farming in Mazandaran province in the country's food security, the present study was conducted with the aim of identifying the most important variables that affecting water security in Mazandaran province.   …”
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THE VARIABILITY OF THE TRAIT «WEIGHT OF 1000 SEEDS» AS A MOST IMPORTANT ELEMENT OF PRODUCTIVITY OF VEGETABLE PEA by I. P. Kotlyar, V. A. Ushakov, L. V. Krivenkov, E. P. Pronina

“…The sign «weight of 1000 seeds» determines the grain size and is the most important in the production of canned «green peas». …”
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Combining Environmental Variables and Machine Learning Methods to Determine the Most Significant Factors Influencing Honey Production by Johanna Ramirez-Diaz, Arianna Manunza, Tiago Almeida de Oliveira, Tania Bobbo, Francesco Nutini, Mirco Boschetti, Maria Grazia De Iorio, Giulio Pagnacco, Michele Polli, Alessandra Stella, Giulietta Minozzi

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Application of Limited Dependent Variable Models to Study the Most Prognostic Factors for Thalassemia Patients in Erbil City by Kurdistan Ibrahim Mawlood

“…In the most fields surveys are done with limited options due to their nature, in these cases the data not provide assumptions of linear regression models. …”
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Prediction of urinary tract infection using machine learning methods: a study for finding the most-informative variables by Sajjad Farashi, Hossein Emad Momtaz

“…In the recent decade, machine learning strategies that employ mathematical models on a dataset to extract the most informative hidden information are the center of interest for prediction and diagnosis purposes. …”
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Most Significant Impact on Consumer Engagement: An Analytical Framework for the Multimodal Content of Short Video Advertisements by Zhipeng Zhang, Liyi Zhang

“…Understanding which information is most important in attracting consumers can provide theoretical support to researchers. …”
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Sampling‐Based Methods for Uncertainty Propagation in Flood Modeling Under Multiple Uncertain Inputs: Finding Out the Most Efficient Choice by Mahya Hajihassanpour, Georges Kesserwani, Per Pettersson, Vasilis Bellos

“…Latin hypercube sampling (LHS) is the most evaluated alternative for fluvial floods but yields no considerable sample size reduction. …”
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Effect of atorvastatin on the most important mechanisms of arrhythmogenesis in patients with ST-elevated myocardial infarction by V. E. Oleynikov, M. V. Lukianova, E. V. Dushina, Yu. A. Barmenkova

“…Significant differences were obtained in the most of the parameters of both temporal and spectral analysis of HRV in the HET group. …”
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The mostly BRST exact operator in superstrings by Sitender Pratap Kashyap

“…Using the mBRST exact operator, written in the pure spinor variables, we get the expected two point superstring amplitudes [5]. …”
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Genetic Variability and Character Association in Maize (Zea mays L.) Inbred Lines by Md. Al-Amin, Md. Abul Kalam Azad, Shahriar Rahman Shovon, Most. Farzana Haque

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Impacts of future changes in climate variability on Europe’s renewable electricity systems by L van der Most, K van der Wiel, R M J Benders, P W Gerbens-Leenes, R Bintanja

“…Importantly, the analysis shows that changes in extremes differ significantly from mean trends, with deviations up to −20% (overestimation) or +4% (underestimation) in the most severe scenarios. Decadal variability analysis underscores the critical influence of natural climate modes like the Atlantic Multidecadal Variability (AMV) and the North Atlantic Oscillation on energy production and demand. …”
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What Climate Sensitivity Index Is Most Useful for Projections? by Michael R. Grose, Jonathan Gregory, Robert Colman, Timothy Andrews

“…It is generally assumed that TCR or T140 would explain more variability between models than ECS for temperature change over the 21st century, since this timescale is the realm of transient climate change. …”
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ASSOCIATION RULES IN RANDOM FOREST FOR THE MOST INTERPRETABLE MODEL by Hafizah Ilma, Khairil Anwar Notodiputro, Bagus Sartono

“…The results obtained are based on simulation data, the association rules technique can extract the set of rules that characterize the target variable. The application of interpretable random forest to empirical data shows that the rules that most distinguish the poverty status of households in Tasikmalaya are house wall materials and the main source of drinking water, house wall materials and cooking fuel, as well as house wall materials and motorcycle ownership.…”
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Biomechanics over body composition: what matters most in the 40 by Emma Sterne, Chukwudum Okpalaoka, Pavan Patel, Alexa Fraga, Caitlin Kucharski, Pete Bommarito, Monique Mokha

“…Background The 40-yard dash (“the 40”) is the most anticipated event at the National Football League’s (NFL) annual combine. …”
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Use of Different Statistic Approaches on Variability in Hydrologic Variables by Kadri Yürekli, Müberra Erdoğan, Ömer Faruk Karaca

“…Under the undesirable condition, the amount of hydrologic variables began to diverge over time. Hydrologic variable should be homogeneous for the reliability of hydraulic structure while predicting necessary design criteria for its construction. …”
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Destination images of the ten most visited countries for potential Brazilian tourists by Jean Max Tavares, Xuan Tran, Lori Pennington-Gray

“…The principal aim of this study was to verify which destination images of the ten most visited countries in the world in 2014 were rated by Brazilians who have never been to another country. …”
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Mechanical properties of the most common European woods: a literature review by Beatrice Bartolucci, Andrea De Rosa, Chiara Bertolin, Filippo Berto, Francesco Penta, Anna Maria Siani

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Mechanical properties of the most common European woods: a literature review by Beatrice Bartolucci, Andrea De Rosa, Chiara Bertolin, Filippo Berto, Francesco Penta, Anna Maria Siani

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Most Common Complications in Patients Post Liver Transplantation at a Hospital in Mexico. by Saúl A. Vera-Nungaray, Diego F. Abendaño-Rivera, Karina Cazarin-Chavez, María F. Higuera-De la Tijera, Viridiana López-Ladrón de Guevara, Isidoro A. Sanchez-Cedillo, Erika F. Rodriguez-Aguilar, Victor M. Paez-Zayas

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