Spatiotemporal Variability of Twenty‐First‐Century Changes in Site‐Specific Snowfall Frequency Over the Northwest United States by A. J. Catalano, P. C. Loikith, C. M. Aragon

“…However, producing such projections is challenging, as most state‐of‐the‐art climate models are limited in sufficiently resolving influential topography. …”
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Evaluating Visual Prognosis and Risk Variables in Nonarteritic Anterior Ischemic Optic Neuropathy: A Southern Indian Perspective by Arumugam Balraj, Vijay Antony, Neha Sapar

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Characteristics of the Content and Variability of Dietary Fiber Components and Alkylresorcinols of Rye Grain (<i>Secale cereale</i> L.) by Anna Fraś, Magdalena Wiśniewska, Dariusz R. Mańkowski, Marlena Gzowska

“…Rye (<i>Secale cereale</i> L.) is one of the most important cereals cultivated in Central and Eastern Europe, valued for its high resistance to environmental stress and high levels of bioactive compounds, such as dietary fiber (DF) and alkylresorcinols (ARR). …”
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Patterns, variability, and predictors of p-phenylenediamine quinones and parent p-phenylenediamines in pregnant women across three trimesters by Jing Zhang, Hongxiu Liu, Hongzhi Zhao, Qingyuan Dai, Wei Wang, Fuyue Wang, Guodong Cao, Yanqiu Zhou, Shunqing Xu, Zongwei Cai

“…High variability for most PPD-Qs and PPDs highlights the need for multiple measurements to ensure accurate exposure assessment during pregnancy. …”
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Venturing Into the Unknown: The Importance of Variable Selection When Modelling Alien Species Under Non‐Analogue Climatic Conditions by Tom Vorstenbosch, Franz Essl, Bernd Lenzner, Johannes Wessely, Stefan Dullinger

“…Among studies that have addressed reasons for model prediction variability, the impact of climatic variable selection has received limited attention and is rarely assessed in sensitivity analyses. …”
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Variable-number tandem repeat markers for Mycobacterium intracellulare genotyping: comparison to the 16S rRNA gene sequencing by Kaisen Chen, Yangyi Zhang, Yiping Peng

“…VNTR genotyping identified VNTR12 as the most discriminating marker (allelic diversity 0.692). …”
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Global analysis of the influence of environmental variables to explain ecological niches and realized thermal niche boundaries of sea snakes. by Carlos Patrón-Rivero, Luis Osorio-Olvera, Octavio Rojas-Soto, Xavier Chiappa-Carrara, Fabricio Villalobos, Brooke Bessesen, Kevin López-Reyes, Carlos Yañez-Arenas

“…Understanding the factors affecting species distributions is a central topic in ecology and biogeography. However, most research on this topic has focused on species inhabiting terrestrial environments. …”
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Limb-Girdle Muscular Dystrophies (LGMD): Clinical features, diagnosis and genetic variability through next generation sequencing by Priyanshu Mathur, Ashmeet Kaur, Urvashi Vijay, Ashok Gupta, Kamlesh Agarwal, Lokesh Agrawal

“…Autosomal Recessive (LGMD-R) was the most common subgroup in this cohort. In the LGMD R1 subgroup, the most common mutation was c.2051–1 G>T and the exon hotspot was 18–22. …”
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Maximum and minimum activity in inpatient adolescents with Bipolar Disorders: Daily-Variability classification of actigraphy pattern with artificial intelligence by Farzan Vahedifard, Boris Birmaher, Satish Iyengar, Maria Wolfe, Lepore Brianna N, Mariah Chobany, Halimah Abdul-waalee, Greeshma Malgireddy, Jonathan A. Hart, Michele A. Bertocci, Rasim S. Diler

“…XGBoost with feature selection provided the most robust and balanced classification model. The most influential feature was the engineered difference between peak active hours, which along with other activity and age features classified all diagnostic groups with 91.5 % accuracy. …”
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Phenotypic variability analysis of key sorghum (Sorghum bicolor (L) moench) genotypes under dry lowland areas by Temesgen Begna

“…The results of this investigation would help determine the most pertinent genetic material and plan the subsequent breeding program to encourage efforts for varietal improvement. …”
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Optimal vaccination model of airborne infection under variable humidity and demographic heterogeneity for hybrid fractional operator technique by Saima Rashid, Ilyas Ali, Nida Fatima, Tehreem Fatima, Fekadu Tesgera Agam, Sayed K. Elagan

“…The framework’s essential variables are determined using unpredictability and sensitivity evaluation. …”
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A novel early stage drip irrigation system cost estimation model based on management and environmental variables by Masoud Pourgholam-Amiji, Khaled Ahmadaali, Abdolmajid Liaghat

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Documenting adaptations to an evidence-based intervention in 58 resource-variable pediatric oncology hospitals across implementation phases by Alejandra Catalina Quesada-Stoner, Sayeda Islam, Amela Siječić, Sara Malone, Maria F. Puerto-Torres, Adolfo Cardenas, Kim Prewitt, Yvania Alfonso Carreras, Shilel Y. Alvarez-Arellano, Deiby Argüello-Vargas, Gloria I. Ceballo-Batista, Rosdali Diaz-Coronado, Maria do Céu Diniz Borborema, Jacqueline Estefany Toledo, Ever Fing, Zunilda Garay, Cinthia J. Hernández-González, Yajaira V. Jimenez-Antolinez, María S. Juárez Tobías, Laura Lemos de Mendonça e Fontes, Norma A. Lopez-Facundo, Jose Miguel Mijares Tobias, Scheybi T. Miralda-Méndez, Erika Montalvo, Zairie Niguelie Cawich, Carlos Andres Portilla Figueroa, Marcela Sahonero, María Sánchez-Martín, Marcia X. Serrano-Landivar, Valeria Soledad García, Annie Vasquez, Daniela María Velásquez Cabrera, Bobbi J. Carothers, Rachel C. Shelton, Dylan Graetz, Carlos Acuña, Douglas A. Luke, Virginia R. R. McKay, Asya Agulnik, the INSPIRE Study Group

“…It is unclear, however, during which phase of implementation adaptations are most frequently made and how these changes may impact the fidelity, effectiveness, and sustainability of the EBI. …”
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Evaluating the Relationships among the Sociodemographic Variables and Gender Perceptions of Undergraduate Students in Turkey: A Meta-Analysis Study by Bekir Güzel

“…The study uses Comprehensive Meta-Analysis (CMA) Software (Biostat Inc, 2021) for the analysis and has concluded four different sociodemographic variables to be suitable for the meta-analysis. The variables used are undergraduates’ (1) gender, (2) school year, (3) mother’s education, and (4) father’s education. …”
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BLOOD PRESSURE VARIABILITY AS A NEW TARGET FOR ANTIHYPERTENSIVE THERAPY: FOCUS ON THE FIXED COMBINATION OF AMLODIPINE AND PERINDOPRIL ARGININ by V. M. Gorbunov

“…Statistically significant BPV reduction denotes the stability of the treatment effects and other beneficial pharmacodynamic effects. The most extensive evidence base exists for the combination of amlodipine and perindopril.…”
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Clinical surrogate markers of hypoxemia: Correlation of clinical variables with PaO2/FiO2 ratio by T R Mehta, C T Shah

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The MyFlex-&#x03B6; Foot: A Variable Stiffness ESR Ankle-Foot Prosthesis by Johnnidel Tabucol, Vera G. M. Kooiman, Marco Leopaldi, Ruud Leijendekkers, Giacomo Selleri, Marcello Mellini, Nico Verdonschot, Magnus Oddsson, Raffaella Carloni, Andrea Zucchelli, Tommaso M. Brugo

“…Most commercially available foot prostheses are passive ESR feet, which store and release energy to reduce metabolic costs and improve comfort but cannot adjust to varying walking conditions. …”
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Seasonal movement behavior of domestic goats in response to environmental variability and time of day using Hidden Markov Models by Hua Cheng, Kasper Johansen, Baocheng Jin, Guojun Sun, Matthew F. McCabe

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Forecasting the Effectiveness of COVID-19 Vaccination Using Vector Autoregressive with an Exogenous Variable: On the Cases of COVID-19 in Indonesia by Sukono Sukono, Riza Andrian Ibrahim, Riaman Riaman, Elis Hertini, Yuyun Hidayat, Jumadil Saputra

“…This study aims to forecast the COVID-19 spread in Indonesia involving vaccination factors using vector autoregressive with exogenous variables (VARX). The COVID-19 spread represented by active, recovered, and death case rate indicators acts as endogenous variables, while the COVID-19 vaccination represented by second-dose vaccination rates acts as exogenous variables. …”
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Spatiotemporal Change in Climate Variables and Resources of Wind， Solar Radiation and Precipitation in Qinghai Province from 1961 to 2021 by Meixia DUAN, Miaoni GAO, Han JIANG, Runhong XU, buda SU, Tong JIANG

“…In order to evaluate the potential of wind， solar radiation and precipitation in guaranteeing the development of clean energy comprehensively， this study analyzed the temporal and spatial changes in climate variables and resources of wind speed， solar radiation and precipitation in Qinghai Province throughout the year and four seasons from 1961 to 2021 based on the observation data of daily 10-meter-height wind speed， sunshine duration and precipitation at 51 meteorological stations.The results are as follows： （1） The annual average wind speed， solar radiation and precipitation in Qinghai Province are 2.67 m·s-1， 6084.2 MJ·m-2， and 299.7 mm， respectively.Wind speed tends to be higher in the western regions and lower in the east， which exceeds 3 m/s and reaches the standard for wind energy resource development in western Qinghai.The annual solar radiation in the entire Province exceeds 5040 MJ·m-2， and reaches the "very rich" level according to China Solar energy GB Standards.The solar radiation of Qaidam Basin is at its highest abundance level， which is ideal for solar energy resource development.Precipitation generally decreases from southeast to northwest.The resources of wind， solar radiation， and precipitation in Qinghai Province exhibits seasonal complementarity， characterized by a pattern of “strong winds， good sunlight， and less water in spring， whereas weak winds， good sunlight， and abundant water in summer”.（2） Under climate change， the annual average wind speed and total solar radiation in Qinghai Province show a significant decrease at rates of 0.16 m·s-1·10a-1and 29.04 MJ·m-2·（10a）-1， respectively.The western and central parts of Haixi are most affected by these changes， but the wind speed and solar radiation still remain within the acceptable range for wind energy and photovoltaic resource development.Meanwhile， precipitation increases significantly at a rate of 8.85 mm·（10a）-1， with the largest increase observed in western Yushu， eastern Haixi and northern Guoluo.The most significant decrease in wind speed is observed in spring， while summer solar radiation decreases at the fastest rate but with a substantial increase in precipitation.The changes in solar radiation and precipitation could be ascribed to the increased cloud cover in this region.（3） The changes in the areas where wind speed and solar radiation meet suitable development standards in Qinghai Province are not significant with reduced variabilities， which could ensure the stable development of clean energy.Wind energy resources in western Qinghai （such as Tanggula Mountains）， solar energy resources in the Qaidam Basin， and water energy resources in the three major river basins of the Yangtze River， Yellow River， and Lancang River have great potential for development.Overall， the results provide a theoretical foundation for the development of a balanced clean energy system encompassing wind， solar and hydropower.This contributes to achieving national "dual carbon" goals and enhancing the high-quality development of Qinghai Province.…”
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