Exponential Squared Loss-Based Robust Variable Selection with Prior Information in Linear Regression Models by Hejun Wei, Tian Jin, Yunquan Song

“…For more than a decade, penalized likelihood frameworks have been the predominant approach for variable selection, where appropriate loss and penalty functions are selected to formulate unconstrained optimization problems. …”
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Research on Stress Analysis and Control of Surrounding Rock of Trapezoidal Roadways Based on Complex Variable Theory by Zhiqiang Wang, Chao Wu, Jianqiao Luo, Wenyu Lv, Lei Shi, Peng Wang

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Dynamic simulation of additively manufactured lattice structures based on variable cross-section beam elements by ZHU Xi, MENG Liang, ZHANG Jing, WANG Jintao, GAO Tong, ZHU Jihong, ZHANG Weihong

“…For lattice structures with different diameters， the inverse problem calibration of the tapered beam parameters is carried out respectively，and an interpolation model for the geometric parameters of the tapered beam as a function of rod diameter is established. Finally，the effectiveness of the interpolation model for the geometric parameters of the variable cross-section beam is verified for lattice structures with different rod diameters and gradient lattices. …”
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Risk assessment of rail transit systems with variable renewable energy based on uncertain random theory by Yanbo Chen, Xiaoxue Li, Zhi Zhang

“…Variable renewable energy access to rail transportation is an effective way for electrified railroads to realize their own efficient and renewable energy use, however, the uncertainty of variable renewable energy also brings risks to the reliable transportation of railroad. …”
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GWO and WOA variable step MPPT algorithms-based PV system output power optimization by Abderrahim Zemmit, Abdelouadoud Loukriz, Khaled Belhouchet, Yahya Z. Alharthi, Muhannad Alshareef, Prabhu Paramasivam, Sherif S. M. Ghoneim

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Carotid Intima-Media Thickness and Visit-to-Visit HbA1c Variability Predict Progression of Chronic Kidney Disease in Type 2 Diabetic Patients with Preserved Kidney Function by Akiko Takenouchi, Ayaka Tsuboi, Miki Kurata, Keisuke Fukuo, Tsutomu Kazumi

“…Subclinical atherosclerosis and long-term glycemic variability predict deterioration of chronic kidney disease (as defined by incident or worsening CKD) in type 2 diabetic patients with preserved kidney function.…”
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Significance of dissipative flow on a second-grade nanofluid with variable thermal properties on the stretching surface by Zia Ullah, Aamir Abbas Khan, Shalan Alkarni, Abhinav Kumar, N. Beemkumar, Tushar Aggarwal, Ashwin Jacob, Jajneswar Nanda, Feyisa Edosa Merga

“…Boundary conditions are used for the analysis of heat and mass transmission. Stream functions and similarity variables are utilized to reduce the complexity of the governed PDEs (partial differential equations) and altered into ODEs (ordinary differential equations). …”
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Radiative heat and mass transfer of second-grade nanofluid slip flow with variable thermal properties by Zia Ullah, Md. Mahbub Alam, Aamir Abbas Khan, Shalan Alkarni, Feyisa Edosa Merga

“…The objective of this study is to provide deeper insights into how these variables influence fluid flow characteristics and heat transfer in nanofluid. …”
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Self-optimization of Wind Turbine Variable-pitch Control Parameters Based on Adaptive Genetic Algorithm by CHANG Sheng, WAN Yubin, JIANG Tao

“…For the low parameter tuning efficiency, accuracy and adaptability of the traditional PID parameter tuning method currently adopted in the wind turbine variable-pitch system, this paper presents a method for self-optimization of wind turbine variable-pitch control parameters based on adaptive genetic algorithm, including variable-gain variable-pitch PID parameter self-optimization and tower damping parameter self-optimization. …”
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Numerical modeling for optimized sediment deflection with variable submergence over a row of submerged vanes by Vikalp Chauhan, Ellora Padhi, Gopal Das Singhal

“…This research examines the potential for improved sediment deflection efficiency through the optimisation of variable submergence. …”
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Prognostic Significance of Pulse Pressure Variability During Mechanical Thrombectomy in Acute Ischemic Stroke Patients by Benjamin Maïer, Guillaume Turc, Guillaume Taylor, Raphaël Blanc, Michael Obadia, Stanislas Smajda, Jean‐Philippe Desilles, Hocine Redjem, Gabriele Ciccio, William Boisseau, Candice Sabben, Malek Ben Machaa, Mylene Hamdani, Morgan Leguen, Etienne Gayat, Jacques Blacher, Bertrand Lapergue, Michel Piotin, Mikael Mazighi

“…Moreover, pulse pressure (PP) has not been considered as a potent hemodynamic parameter to describe BP variability during MT. We assessed the impact of PP variability on functional outcome in acute ischemic stroke patients with large vessel occlusion during MT. …”
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Statistics of the Interplanetary Magnetic Field from 0.1 to 30 au. II. Dynamical Variability by Jiutong Zhao, Shan Wang, Weijie Sun, Xingyu Zhu, Chuanpeng Hou, Qiugang Zong, Jiansen He, Xuzhi Zhou, Chao Yue, Liu Yang, Daniel Heyner

“…Our analysis reveals that the autocorrelation function employed to measure IMF temporal variability is significantly influenced by the heliocentric distance and the solar cycle. …”
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Free Vibration Analysis of Moderately Thick Rectangular Plates with Variable Thickness and Arbitrary Boundary Conditions by Dongyan Shi, Qingshan Wang, Xianjie Shi, Fuzhen Pang

“…A generalized Fourier series solution based on the first-order shear deformation theory is presented for the free vibrations of moderately thick rectangular plates with variable thickness and arbitrary boundary conditions, a class of problem which is of practical interest and fundamental importance but rarely attempted in the literatures. …”
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…For linear marginal hazard models, we develop a penalized pseudo-partial likelihood approach with a group LASSO-type penalty applied to the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msub><mi mathvariant="sans-serif-italic">ℓ</mi><mn>2</mn></msub></semantics></math></inline-formula> norms of coefficients corresponding to the same covariates across marginal hazard functions. …”
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VarProDMD: Solving Variable Projection for the Dynamic Mode Decomposition with SciPy’s optimization suite by Gerhard Reinerth, David Messmann, Jean Elsner, Ulrich Walter

“…The available Python library implements a variant of the Levenberg–Marquardt optimizer for the Variable Projection Method. The optimization procedure uses a complex residual function since the measurements can incorporate complex numbers. …”
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Application of physics-informed neural networks for two-phase flow model with variable diffusion and experimental validation by Daulet Kalesh, Timur Merembayev, Sagyn Omirbekov, Yerlan Amanbek

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Assessment of Cardiac Autonomic Function by Short-Term Sensor-Based and Long-Term Heart Rate Variability Analyses in Individuals with Spinal Cord Injury After Long-Term Table Tenni... by Georgia Vogiatzi, Vasiliki Michou, Nikos Malliaropoulos, Vasileios Tsimaras, Asterios Deligiannis, Evangelia Kouidi

“…At baseline, all participants underwent a short-term (5 min) and a long-term (24 h ambulatory) ECG monitoring to evaluate the heart rate variability (HRV) indices and a maximal arm ergometric and dynamometric testing of the upper limbs. …”
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Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning by Ryota NONAMI, Mitsuru KITAMURA

“…To overcome such an environment, in this study, an optimization flow for structural optimization is considered, and states, actions, and rewards appropriately representing design variables, constraint conditions, and objective functions are discussed. …”
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Upper-Bound Analysis of Slope Reliability Considering Anisotropic Spatial Variability and Reinforcement with Anti-slide Piles by ZHAO Zi-hao, WANG Jia-rui, FU Tao-tao, ZHU En-lin

“…The influence of fluctuation scales, coefficients of variation, and correlation coefficients on the reliability of slopes reinforced with anti-slide piles is compared for the two types of anisotropic spatial variability random fields. …”
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Enhanced thermal performance of variable cross-section solar collectors: a case study in Santiniketan, India by Pranab Kanti Roy

“…Abstract We present analytical models for variable cross-section absorber plate solar collectors, where the thermal conductivity, overall heat loss coefficient, and incident solar heat flux are power-law functions of temperature. …”
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