More Common Than You Think: Common Variable Immune Deficiency by Abimbola Aderinto, Vibav Mouli, Danielle F. Resar, Linda M. S. Resar

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Fitting the Distribution of Linear Combinations of t− Variables with more than 2 Degrees of Freedom by Onel L. Alcaraz López, Evelio M. Garcia Fernández, Matti Latva-aho

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More positive and less variable North Atlantic Oscillation at high CO2 forcing by Ivan Mitevski, Simon H. Lee, Gabriel Vecchi, Clara Orbe, Lorenzo M. Polvani

“…While Earth System Models generally project a more positive NAO under 21st century high-emission scenarios, uncertainties persist as to the precise response of the NAO to increased CO2 levels, owing to large internal variability. …”
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A latent variable approach for mitigation of environmental and operational variability in vibrationbased SHM – A linear approach by Josep Font-Moré, David Garcia Cava, Marco Antonio Perez, Luis David Avendano-Valencia

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Suppressed or increased fetal heart rate variability: Which is more associated with intrapartum fetal compromise? by Christopher A. Lear, Masahiro Nakao, Shoichi Magawa, Tomoaki Ikeda, Alistair J. Gunn

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Reliability Analysis in Presence of Random Variables and Fuzzy Variables by Cui Lijie, Lü Zhenzhou, Li Guijie

“…For mixed uncertainties of random variables and fuzzy variables in engineering, three indices, that is, interval reliability index, mean reliability index, and numerical reliability index, are proposed to measure safety of structure. …”
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Heart rate variability is more sensitive to stress than heart rate in specialist police undergoing selection. by Colin Tomes, Ben Schram, Elisa Canetti, Robin Orr

“…While heart rate (HR) is often used to measure physical effort, heart rate variability (HRV) may be a valuable tool for measuring stress holistically. …”
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Two More Bow Shocks and Off-center Hα Nebulae Associated with Nova-like Cataclysmic Variables by Howard E. Bond, Calvin Carter, Eric Coles, Peter Goodhew, Dana Patchick, Jonathan Talbot, Gregory R. Zeimann

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Generalized Variability Orderings among Nonnegative Fuzzy Random Variables by S. Ramasubramanian, P. Mahendran

“…The variability ordering for more and less variables of fuzzy random variables in terms of its distribution function is defined. …”
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More Efficient and Reliable: Identifying RRab Stars with Blazhko Effect by Deep Convolutional Neural Network by Nan Jiang, Tianrui Sun, Siyuan Pan, Lingzhi Wang, Xue Li, Bin Sheng, Xiaofeng Wang

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Coastal Shorebirds Delay Maturity More Than Inland Ones by Danny I. Rogers, Theunis Piersma, Clive D. T. Minton, Adrian N. Boyle, Chris J. Hassell, Ken G. Rogers, Andrew Silcocks, Jorge S. Gutiérrez

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Design of Variable-Stiffness Bistable Composite Laminates and Their Application in Variable-Camber Wings by Hanqi Xie, Shujie Zhang, Yizhang Yang, Yang Zhou, Hongxiao Zhao

“…Considering the design of a flexible bistable variable-camber wing, the variable-stiffness design proposed in this study was adopted to coordinate the curvature distribution of laminates, making the cambered airfoil of the wing more uniform and smoother and improving aerodynamic efficiency. …”
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A Variable Structure Control Scheme Proposal for the Tokamak à Configuration Variable by Aitor Marco, Aitor J. Garrido, Stefano Coda, Izaskun Garrido, TCV Team

“…In this context, this article focuses on the application of robust control laws to improve the controllability of the plasma current, a crucial parameter during the plasma heating and confinement processes. In particular, a variable structure control scheme based on sliding surfaces, namely, a sliding mode controller (SMC) is presented and applied to the plasma current control problem. …”
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The 230 GHz Variability of Numerical Models of Sagittarius A*. II. The Physical Origins of the Variability by Ho-Sang Chan, Chi-kwan Chan

“…For models with a black hole spin a  > 0, we discovered that increasing R _Low renders the photon ring more optically thick, obscuring the varying accretion flows that contribute to the variability. …”
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The more the better or the less the better: LASSO versus random forest in forecasting seasonal precipitation for drought management by Taesam Lee, Yejin Kong, Vijay P Singh

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Random Variables Aren’t Random by Paul W. Vos

“…This paper examines the foundational concept of random variables in probability theory and statistical inference, demonstrating that their mathematical definition requires no reference to randomization or hypothetical repeated sampling. …”
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Evolution and Outbursts of Cataclysmic Variables by S.-B. Qian, L.-Y. Zhu, E.-G. Zhao, E. Fernández Lajús, J. Zhang, G. Shi, Z.-T. Han

“…Our results suggest that the evolution of CVs is more complex than that predicted by the standard model and we should consider the effect of variable mass accretion in nova and dwarf nova outbursts.…”
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How Measurement Affects Causal Inference: Attenuation Bias Is (Usually) More Important Than Outcome Scoring Weights by Joshua B. Gilbert

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Variability indexes for wind power by Guglielmo D’Amico, Giovanni Masala, Filippo Petroni

“…The results have direct practical relevance and utility in the real-world wind energy sector, as they contribute to a more in-depth understanding of the variability risk of wind power generation plants.…”
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A Survey Design for a Sensitive Binary Variable Correlated with Another Nonsensitive Binary Variable by Jun-Wu Yu, Yang Lu, Guo-Liang Tian

“…However, in practice, we sometimes need to assess the association between one sensitive binary variable (e.g., whether or not a drug user, the number of sex partner being ⩽1 or >1, and so on) and one nonsensitive binary variable (e.g., good or poor health status, with or without cervical cancer, and so on). …”
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