Evaluating effects of data quality and variable weighting on habitat suitability modelling by Stephanie Arsenault, Robyn Linner, Yong Chen

“…The results of this study suggest that using calibrated abundance data with unweighted habitat variables provide the most robust estimates for bay anchovy suitable spawning habitat in the HRE, which indicates that in cases when sampling has not been consistent over time, using calibrated abundance data in habitat suitability modelling may lead to improved models. …”
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Genetic diversity and virulence variability of Sclerotinia sclerotiorum in Eastern and Northeastern India. by Tasvina R Borah, Subrata Dutta, Ashis Roy Barman, Sujit Kumar Ray

“…The subgroup A of the major group I was the largest and most diverse group with 11 members indicating genetic admixture within different geographic populations with different levels of similarity (70-100%). …”
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Variability of carotenoid synthesis and degradation genes in Russian durum wheat cultivars by A. A. Trifonova, K. V. Boris, L. V. Dedova, P. N. Malchikov, A. M. Kudryavtsev

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Prevalence and spatio-demographic variability of nutrition-related health issues in Kiribati by Christopher D. Golden, Jessica Zamborain-Mason, Katherine L. Seto, Jessica A. Gephart, Jacob G. Eurich, Whitney Friedman, Heather M. Kelahan, Helen Murdoch, Kaaro Neeti, Michael K. Sharp, Eretii Timeon, Rosemary Tekoaua, Aritita Tekaieti, Julien Ayroles

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Glycemic response to SSBs and ASBs: the role of mixed meals and individual variability by Sejin Kim, YoonJu Song

“…At 120 min, the glucose dip was most pronounced for regular cola, whereas oral glucose load and muffin showed smaller reductions. …”
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An international study of stain variability in histopathology using qualitative and quantitative analysis by Catriona Dunn, David Brettle, Chantell Hodgson, Robert Hughes, Darren Treanor

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Drug survival of omalizumab in atopic asthma: Impact of clinical and genetic variables by Susana Rojo-Tolosa, Alberto Caballero-Vázquez, Laura E. Pineda-Lancheros, José A. Sánchez-Martínez, María V. González-Gutiérrez, Gonzalo Jiménez-Gálvez, Alberto Jiménez-Morales, Concepción Morales-García

“…It is estimated that 40–50% of severe asthma has an atopic basis, representing a clinical challenge and a significant economic burden for healthcare systems. The most effective treatment has emerged with the use of biologic therapies such as omalizumab; however, the rate of therapy switching due to loss of efficacy is high, which has a negative impact on the healthcare system. …”
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Genetic variability of incretin receptors affects the occurrence of neurodegenerative diseases and their characteristics by David Vogrinc, Sara Redenšek Trampuž, Tanja Blagus, Maja Trošt, Milica Gregorič Kramberger, Andreja Emeršič, Saša Čučnik, Katja Goričar, Vita Dolžan

“…Background: Alzheimer's disease (AD) and Parkinson's disease (PD) are the most common neurodegenerative diseases. Their treatment options are rather limited, and no neuroprotective or disease-modifying treatments are available. …”
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A Comparison of the Effects of Climate and Human Variability on the Thermal Resistance of Clothing by Ferenc Ács, Zsófia Szalkai, Erzsébet Kristóf, Annamária Zsákai

“…Our most important results are the following. (1) The macroscale pattern of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><msub><mrow><mi>r</mi></mrow><mrow><mi>c</mi><mi>l</mi></mrow></msub></mrow><mo>¯</mo></mover></mrow></semantics></math></inline-formula> and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>∆</mo><msub><mrow><mi>r</mi></mrow><mrow><mi>c</mi><mi>l</mi></mrow></msub></mrow></semantics></math></inline-formula> fields are very similar, based on which it can be stated that human variability does not modify the spatial distribution of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><msub><mrow><mi>r</mi></mrow><mrow><mi>c</mi><mi>l</mi></mrow></msub></mrow><mo>¯</mo></mover></mrow></semantics></math></inline-formula>. (2) The <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mo>∆</mo><msub><mrow><mi>r</mi></mrow><mrow><mi>c</mi><mi>l</mi></mrow></msub></mrow></semantics></math></inline-formula> values are roughly a quarter of the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mover accent="true"><mrow><msub><mrow><mi>r</mi></mrow><mrow><mi>c</mi><mi>l</mi></mrow></msub></mrow><mo>¯</mo></mover></mrow></semantics></math></inline-formula> values. …”
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Spatio-temporal variability of groundwater depth in the Eghlid aquifer in southern Iran by Masoomeh Delbari, Masoud Bahraini Motlagh, Meysam Amiri

“…The cross-validation results indicated that OK resulted in the lowest root mean square error (RMSE) and mean error (ME) and was the most appropriate method for interpolating groundwater depth. …”
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The ZTF Source Classification Project. III. A Catalog of Variable Sources by Brian F. Healy, Michael W. Coughlin, Ashish A. Mahabal, Theophile Jegou du Laz, Andrew Drake, Matthew J. Graham, Lynne A. Hillenbrand, Jan van Roestel, Paula Szkody, LeighAnna Zielske, Mohammed Guiga, Muhammad Yusuf Hassan, Jill L. Hughes, Guy Nir, Saagar Parikh, Sungmin Park, Palak Purohit, Umaa Rebbapragada, Draco Reed, Daniel Warshofsky, Avery Wold, Joshua S. Bloom, Frank J. Masci, Reed Riddle, Roger Smith

“…The classification of variable objects provides insight into a wide variety of astrophysics ranging from stellar interiors to galactic nuclei. …”
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Young Stellar Objects in the Carina Nebula: Near-infrared Variability and Spectroscopy by Jura Borissova, Radostin Kurtev, Josemanuel Escobar, Javier Alonso-García, Nicolas Medina, Javier Osses, Zhen Guo, Philip W. Lucas, Michael Kuhn, Dante Minniti, Kevin R. Covey, Roberto K. Saito, Francisco Förster

“…The statistical characterization of YSO variability demonstrated that most Carina members (78%) exhibit variability patterns. …”
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Genetic Variability in Glucosinolates in Seed of Brassica juncea: Interest in Mustard Condiment by Othmane Merah

“…In contrast, condiment production needs varieties with high level in some glucosinolates including sinigrin. The genetic variability was studied mostly by molecular tools. The objectives were almost the decrease of glucosinolates level in order to use the oilcake for animal feed. …”
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Privacy-utility tradeoff method using multi-variable source coding by Yong-hao GU, Jiu-chuan LIN

“…In the age of big data,data providers need to ensure their privacy,while data analysts need to mine the value of data.So,how to find the privacy-utility tradeoff has become a research hotspot.Current works mostly focus on privacy preserving methods,ignoring the data utility.Based on the current research of privacy utility equilibrium methods,a privacy-utility tradeoff method using multi-variable source coding was proposed to solve the problem that different public datasets in the same database have different privacy requirements.Two results are obtained by simulations.The first result is that the greater the association degree between the private information and public information,the increase of the distortion degree of public information will significantly improve the effect of privacy preservation.The second result is that public information with larger variance should be less distorted to ensure more utility.…”
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Multi-granularity and variable weight evaluation model for person-job matching by MAO Tengjiao, SHEN Hongyang, CAI Chunxiao, JIANG Jinli, ZHANG Yifan

“…Therefore, a multi-granularity variable weighting evaluation model is constructed. …”
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An Analytical Framework for Global Dynamic Modeling of Flexible Variable Topology Mechanisms by Ruihai Geng, Yushu Bian, Zhihui Gao, Yize Zhao, Peng Liu

“…The coupling of topology transition with flexible deformation and rigid motion presents significant challenges in the dynamic modeling of flexible variable topology mechanisms. Existing dynamics models are mostly special-purpose models for their particular cases and thus struggle to completely depict the general topology transition characteristics. …”
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A Unified Method for Detecting Phylogenetic Signals in Continuous, Discrete, and Multiple Trait Combinations by Liang Yao, Ye Yuan

“…It performs well in handling continuous variables, discrete variables, and multiple trait combinations. …”
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Identifying most important predictors for suicidal thoughts and behaviours among healthcare workers active during the Spain COVID-19 pandemic: a machine-learning approach by Itxaso Alayo, Oriol Pujol, Jordi Alonso, Montse Ferrer, Franco Amigo, Ana Portillo-Van Diest, Enric Aragonès, Andrés Aragon Peña, Ángel Asúnsolo Del Barco, Mireia Campos, Meritxell Espuga, Ana González-Pinto, Josep Maria Haro, Nieves López-Fresneña, Alma D. Martínez de Salázar, Juan D. Molina, Rafael M. Ortí-Lucas, Mara Parellada, José Maria Pelayo-Terán, Maria João Forjaz, Aurora Pérez-Zapata, José Ignacio Pijoan, Nieves Plana, Elena Polentinos-Castro, Maria Teresa Puig, Cristina Rius, Ferran Sanz, Cònsol Serra, Iratxe Urreta-Barallobre, Ronny Bruffaerts, Eduard Vieta, Víctor Pérez-Solá, Philippe Mortier, Gemma Vilagut

“…The current study aimed to (1) develop a machine learning-based prediction model for future STBs using data from a large prospective cohort of Spanish HCWs and (2) identify the most important variables in terms of contribution to the model’s predictive accuracy. …”
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Arranging a Pool of Functional Test Sequences for Variable In-Field Test Periods by Irith Pomeranz

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Variability of morphological traits of Salvia canescens (Lamiaceae) in natural populations of Dagestan, Russia by Z. A. Guseynova

“…Study of the structure of intra‐ and interpopulation variability of Salvia canescens C.A. Mey. along an altitudinal gradient.Material and Methods. …”
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