Note on Precise Rates in the Law of Iterated Logarithm for the Moment Convergence of I.I.D.: Random Variables under Sublinear Expectations by Mingzhou Xu, Kun Cheng

“…Let X,Xn,n≥1 be a sequence of independent, identically distributed random variables under sublinear expectations with CVX2<∞, limc⟶∞EX2−c+=0, and E˘X=E˘−X=0. …”
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Särndal Approach and Separate Type Quantile Robust Regression Type Mean Estimators for Nonsensitive and Sensitive Variables in Stratified Random Sampling by Usman Shahzad, Ishfaq Ahmad, Nadia H. Al-Noor, Soofia Iftikhar, A. H. Abd Ellah, Troon J. Benedict

“…In the current study, regarding population mean, we proposed a robust class of separate type quantile regression estimators under stratified random sampling design. The proposed class is based on extremely enormous or potentially small observations and robust regression tools, under the framework of Särndal. …”
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Improving wheat yield prediction through variable selection using Support Vector Regression, Random Forest, and Extreme Gradient Boosting by Juan Carlos Moreno Sánchez, Héctor Gabriel Acosta Mesa, Adrián Trueba Espinosa, Sergio Ruiz Castilla, Farid García Lamont

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A Novel Compressed Sensing Method for Magnetic Resonance Imaging: Exponential Wavelet Iterative Shrinkage-Thresholding Algorithm with Random Shift by Yudong Zhang, Jiquan Yang, Jianfei Yang, Aijun Liu, Ping Sun

“…In this study, a novel method was proposed with the name of exponential wavelet iterative shrinkage-thresholding algorithm with random shift (abbreviated as EWISTARS). It is composed of three successful components: (i) exponential wavelet transform, (ii) iterative shrinkage-thresholding algorithm, and (iii) random shift. …”
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The effect of transcranial random noise stimulation on the movement time and components of noise, co-variation, and tolerance in a perceptual-motor task by Fatemeh Salehi, Mohammadreza Doustan, Esmaeel Saemi

“…Abstract There exist numerous factors that contribute to the amplification of errors and complexity in motor processes, among which variability and noise are particularly noteworthy. Transcranial random noise stimulation (tRNS) has been proposed as a potential means of enhancing motor performance by modulating excitability in the motor cortex. …”
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Random Whole Body Vibration over 5 Weeks Leads to Effects Similar to Placebo: A Controlled Study in Parkinson’s Disease by Heiko Gaßner, Annette Janzen, Ansgar Schwirtz, Petra Jansen

“…Background. Random whole body vibration (WBV) training leads to beneficial short-term effects in patients with Parkinson’s disease (PD). …”
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Predicting Bank Operational Efficiency Using Machine Learning Algorithm: Comparative Study of Decision Tree, Random Forest, and Neural Networks by Peter Appiahene, Yaw Marfo Missah, Ussiph Najim

“…The DT was followed closely by random forest algorithm with a predictive accuracy of 98.5% and a P value of 0.00 and finally the neural network (86.6% accuracy) with a P value 0.66. …”
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A Novel Particle Filter Based on One-Step Smoothing for Nonlinear Systems with Random One-Step Delay and Missing Measurements by Zhenrong Yang, Xing Zhang, Wenqian Xiang, Xiaohui Lin

“…In this paper, a novel particle filter based on one-step smoothing is proposed for nonlinear systems with random one-step delay and missing measurements. Such problems are commonly encountered in networked control systems, where random one-step delay and missing measurements significantly increase the difficulty of dynamic state estimation. …”
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CLEC11A-Driven Molecular Mechanisms in Intervertebral Disc Degeneration: A Comprehensive Multi-Omics Study by Jiang N, Wang Q, Hu Z, Tian X

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Genomic and phenotypic selection indices for decreased birth weight, shortening fattening period, and regulating total weight gain in beef cattle by Kenji Togashi, Atsushi Ogino, Toshio Watanabe, Masakazu Shinomiya, Masashi Kinukawa, Kazuhito Kurogi, Masanobu Nurimoto

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APLIKASI EDUKASI PENGENALAN DAN PENGASAH DAYA INGAT RAGAM AKSARA by Siti Alvi Nikmah, Patmi Kasih, Ardi Sanjaya

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Leveraging machine learning to uncover multi-pathogen infection dynamics across co-distributed frog families by Daniele L. F. Wiley, Kadie N. Omlor, Ariadna S. Torres López, Celina M. Eberle, Anna E. Savage, Matthew S. Atkinson, Lisa N. Barrow

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Efficient segment pattern based method for malicious URL detection by Hai-lun LIN, Yan LI, Wei-ping WANG, Yin-liang YUE, Zheng LIN

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Performance analysis of zero-forcing coordinated MIMO transmission in interference channels by Hai-rong WANG, Jian DONG, Yong-ming HUANG, ANGLV-xi Y

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Feature Selection and Machine Learning Approaches for Detecting Sarcopenia Through Predictive Modeling by Akhrorbek Tukhtaev, Dilmurod Turimov, Jiyoun Kim, Wooseong Kim

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Performance analysis and optimization for coverage classes updating mechanism of narrow-band internet of things by Xin JIAN, Yuqin LIU, Yixiao WEI, Jian SONG, Fang WANG, Shu FU, Xiaoheng TAN

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High‐Resolution Downscaling of Disposable Income in Europe Using Open‐Source Data by Mehdi Mikou, Améline Vallet, Céline Guivarch, David Makowski

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Evaluation of Rainfall-Induced Accumulation Landslide Susceptibility Based on Remote Sensing Interpretation by Zhen Wu, Runqing Ye, Jue Huang, Xiaolin Fu, Yao Chen

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Short-Term Investigation into the Effect of the Traffic Farming Systems on the Soil Physical Behavior of an Arable Land by Kasem M. M. AL-Halfi, John McL. Bennett

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Two-factor authenticated key agreement protocol based on biometric feature and password by Xiao-wei LI, Deng-qi YANG, Ben-hui CHEN, Yu-qing ZHANG

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