Changes in linear and nonlinear measures of RR and QT interval series after beer intake by Platiša Mirjana M., Gal Vera, Nestorović Zorica, Leskošek-Čukalović Ida, Despotović Saša, Veljović Mile, Petrović Aleksandar, Rajković Jovana, Đokić Vladimir, Novaković Radmila, Gojković-Bukarica Ljiljana

“…We wanted to examine whether linear and nonlinear measures of RR interval and QT interval series could quantify the effect of beer in healthy subjects. …”
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A Sampling Load Frequency Control Scheme for Power Systems with Time Delays by R. Sriraman, Jihad A. Younis, C. P. Lim, P. Hammachukiattikul, G. Rajchakit, N. Boonsatit

“…In this study, we investigate the effectiveness of a robust sampled-data H∞ load frequency control (LFC) scheme for power systems with randomly occurring time-varying delays. …”
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Neural Network-Guided Sparse Recovery for Interrupted-Sampling Repeater Jamming Suppression by Zijian Wang, Wenbo Yu, Zhongjun Yu, Yunhua Luo, Jiamu Li

“…Interrupted-sampling repeater jamming (ISRJ) is a new type of DRFM-based jamming designed for linear frequency modulation (LFM) signals. …”
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Analysis of Product Sampling for New Product Diffusion Incorporating Multiple-Unit Ownership by Zhineng Hu, Yurong Pei, Ruikun Xie

“…Using the logistic regression along with linear regression, the global sensitivity analysis gives a whole analysis of the interaction of all factors, which manifests the external influence and multiunit purchase rate are two most important factors to influence the sampling level and net present value of the new product, and presents a two-stage method to determine the sampling level.…”
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Segmental Dynamic Duty Cycle Control for Sampling Scheduling in Wireless Sensor Networks by Lufeng Mo, Yujia Jiang, Guoying Wang, Jizhong Zhao

“…Using a priori knowledge obtained by means of analysis on earlier sensing data, dynamic duty cycle is determined according to the linear degree of data in each segment. The experimental results using data from soil respiration monitoring sensor networks show that the proposed SDDC method can lead to better reconstructive quality compared to constant duty cycle of the same average sampling rate. …”
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Use of AI-methods over MD simulations in the sampling of conformational ensembles in IDPs by Souradeep Sil, Ishita Datta, Sankar Basu

“…Capturing these ensembles is critical to understanding their biological roles, yet Molecular Dynamics (MD) simulations, though accurate and widely used, are computationally expensive and struggle to sample rare, transient states. Artificial intelligence (AI) offers a transformative alternative, with deep learning (DL) enabling efficient and scalable conformational sampling. …”
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Adrenal venous sampling outcomes with and without mineralocorticoid receptor antagonists in primary aldosteronism by Sittikul Thipbumrung, Worapaka Manosroi

“…Abstract Background Current guidelines recommend discontinuing mineralocorticoid receptor antagonists (MRA) at least 4 weeks before adrenal venous sampling (AVS) in primary aldosteronism (PA) to avoid interference with the lateralization index (LI). …”
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Evaluating uncertainty: the impact of the sampling and assessment design on statistical inference in the context of ILSA by Diego Cortes, Dirk Hastedt, Sabine Meinck

“…We use the design effect framework to assess the impact that the sampling and the assessment design have on theestimation. …”
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Robust Bayesian analysis of animal networks subject to biases in sampling intensity and censoring by Sebastian Sosa, Mary B. McElreath, Daniel Redhead, Cody T. Ross

“…Antithetically, permutation‐based and simple linear regression approaches performed the worst across many conditions. …”
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Nearest-neighbors neural network architecture for efficient sampling of statistical physics models by Luca Maria Del Bono, Federico Ricci-Tersenghi, Francesco Zamponi

“…The task of sampling efficiently the Gibbs–Boltzmann distribution of disordered systems is important both for the theoretical understanding of these models and for the solution of practical optimization problems. …”
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Research on Key Parameters of Spatial Filter Velocity Measurement Algorithms Based on Linear Array CCD by Fei WANG, Chengrui ZHAO, Liangguang ZHENG

“…The basic structure and principle of spatial filter based on linear array CCD were introduced, and the algorithm of basic spatial filter was simulated and validated by MATLAB. …”
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81 Fixing or mixing? Improving small sample size longitudinal microbiome models by Raunak Vijayakar, Jun Chen, Marina Walther-Antonio

“…We are now exploring the effects of confounders on type 1 error rates and power in linear models, while our next step will evaluate generalized linear models in a differential abundance context. …”
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Sampled-Data Consensus for Nonlinear Multiagent Dynamical Systems via Reliable Control by Hongjie Li

“…The paper studies sampled-data consensus for nonlinear multiagent dynamical systems. …”
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Effect of 3D Printing Orientation on the Accuracy and Surface Roughness of Polycarbonate Samples by Paweł Turek, Anna Bazan, Marcin Bulicz

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Self-Triggered Model Predictive Control for Linear Systems Based on Transmission of Control Input Sequences by Koichi Kobayashi

“…Self-triggered control is well known as one of the control methods in NCSs and is a control method that for sampled-data control systems both the control input and the aperiodic sampling interval (i.e., the transmission interval) are computed simultaneously. …”
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ON LIMITING THE VOLUME FRACTION OF PARTICLES IN THE DISPERSE SAMPLE (FOR THE TASkS ON CONTROLLING THEIR MAGNETIC PROPERTIES) by A. A. Sandulyak, M. N. Polismakova, D. O. Kiselev, D. A. Sandulyak, A. V. Sandulyak

“…The results of the experiments show that the linear part of X(γ) relation ends at γ 0.2. This is confirmed by many other consolidate data obtained by using disperse samples of magnetite (powder, colloid). …”
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Reconstruction of linear block code parity-check matrix based on fault-tolerant Gaussian elimination by WANG Zhongyong, ZHANG Hong, GONG Kexian, WANG Wei, ZHANG Ling, ZHU Junhao

“…Aiming at the problem of poor fault-tolerant performance in the reconstruction of the parity-check matrix of linear block codes, a parity-check matrix reconstruction algorithm based on fault-tolerant Gaussian elimination was proposed. …”
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On Progressive Type-II Censored Samples from Alpha Power Exponential Distribution by Mukhtar M. Salah

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Finding Multiple Optimal Solutions to an Integer Linear Program by Random Perturbations of Its Objective Function by Noah Schulhof, Pattara Sukprasert, Eytan Ruppin, Samir Khuller, Alejandro A. Schäffer

“…Integer linear programs (ILPs) and mixed integer programs (MIPs) often have multiple distinct optimal solutions, yet the widely used Gurobi optimization solver returns certain solutions at disproportionately high frequencies. …”
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Search for the Blazhko Effect in Field RR Lyrae Stars Using LINEAR and ZTF Light Curves by Ema Donev, Željko Ivezić

“…We analyzed the incidence and properties of RR Lyrae stars that show evidence for amplitude and phase modulation (the so-called Blazhko Effect) in a sample of ∼3000 stars with LINEAR and ZTF light curve data collected during the periods of 2002–2008 and 2018–2023, respectively. …”
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