Adaptive sampling-based optimization of quantics tensor trains for noisy functions: Applications to quantum simulations by Kohtaroh Sakaue, Hiroshi Shinaoka, Rihito Sakurai

“…Tensor cross interpolation (TCI) is a powerful technique for learning a tensor train (TT) by adaptively sampling a target tensor based on an interpolation formula. …”
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A Sequential-Interval Optimal Sampling Strategy Based on Reliability Prediction Under Wiener Process by Mengying Ren, Yubin Tian, Xingyu Liu, Furi Guo

“…This study utilizes both linear and nonlinear models of satellite MOSFETs and employs the Monte Carlo method.…”
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Simulation-Based Inference: Random Sampling vs. Random Assignment? What Instructors Should Know by Beth Chance, Karen McGaughey, Sophia Chung, Alex Goodman, Soma Roy, Nathan Tintle

“…In particular, does it matter whether the simulation models random sampling or random assignment? We present examples from comparing two means and simple linear regression, highlighting the impact on the standard deviation of the null distribution. …”
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Two-Fold Sampling-Based Super-Resolution Estimation of Low-Rank MIMO-OFDM Channels by Tianle Liu, Khawaja Fahad Masood, Jun Tong, Jiguang He, and Jiangtao Xi

“…To reduce the overhead for channel estimation, we propose a novel solution based on two-fold sampling of the original channel matrix. A subchannel associated with a subset of subcarriers and antennas is first selected by deterministic sampling. …”
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Investigating mental defeat in individuals with chronic pain: Protocol for a longitudinal experience sampling study by Shyam Balasubramanian, Nicole K Y Tang, Sakari Lemola, Kristy Themelis, Swaran Preet Singh, Jenna L Gillett, Paige Karadag, Yu-Mei Li

“…This study will adopt a longitudinal experience sampling design to examine the within-person link between the sense of mental defeat and distress and disability associated with chronic pain.Methods and analysis We aim to recruit 198 participants (aged 18–65 years) with chronic pain, to complete two waves of experience sampling over 1 week, 6 months apart (time 1 and time 2). …”
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The influence of mood and social relationships on the intensity of basic self-disturbance: an experience sampling method investigation by Lise Baklund, Jan Ivar Røssberg, Sigurd Arne Melbye, Henri Pesonen, Paul Møller

“…The present study aims to investigate the extent to which mood, social relationships, and psychosocial factors contribute to the development of BSD in adolescents at risk for psychosis.MethodsWe used the experience sampling method to collect real-time data from 27 help-seeking 12- to 19-year-old adolescents. …”
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Influences of Sampling Design and Model Selection on Predictions of Chemical Compounds in Petroferric Formations in the Brazilian Amazon by Niriele Bruno Rodrigues, Theresa Rocco Barbosa, Helena Saraiva Koenow Pinheiro, Marcelo Mancini, Quentin D. Read, Joshua Blackstock, Edwin H. Winzeler, David Miller, Phillip R. Owens, Zamir Libohova

“…The dataset comprised 341 samples from the Geological Survey of Brazil (CPRM). …”
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The Best Fit Bayesian Hierarchical Generalized Linear Model Selection Using Information Complexity Criteria in the MCMC Approach by Endris Assen Ebrahim, Mehmet Ali Cengiz, Erol Terzi

“…Model selection approaches have advanced due to the difficulty of comparing complicated hierarchical models in which linear predictors vary by grouping variables, and the number of model parameters is not distinct. …”
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A Novel Over-The-Air Measurement Method for Linear Frequency Modulation Signals Using Continuous Wave Receiver by Sungpil Cheon, Byungkwan Kim

“…This paper presents a novel over-the-air (OTA) measurement method for linear frequency modulation (LFM) and frequency modulated continuous wave (FMCW) radar signals. …”
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Simulation-Based Evaluation of Robust Transformation Techniques for Median Estimation Under Simple Random Sampling by Fatimah A. Almulhim, Abdulaziz S. Alghamdi

“…In this paper, an enhanced class of ratio–product types of estimators is introduced, which employs the transformation technique by linearly combining two robust measures, the trimean and decile mean, and five non-conventional measures, the range, inter-quartile range, mid-range, quartile average, and quartile deviation, on auxiliary variables with a simple random sampling method to estimate the finite population median. …”
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An Optimized Adsorbent Sampling Combined to Thermal Desorption GC-MS Method for Trimethylsilanol in Industrial Environments by Jae Hwan Lee, Chunrong Jia, Yong Doo Kim, Hong Hyun Kim, Tien Thang Pham, Young Seok Choi, Young Un Seo, Ike Woo Lee

“…The optimized method demonstrated high recovery (87%), satisfactory precision (<15% for spiked amounts exceeding 1 ng), good linearity (R2=0.9999), a wide dynamic mass range (up to 500 ng), low method detection limit (2.8 ng m−3 for a 20-L sample), and negligible losses for 3-4-day storage. …”
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Uso da regressão linear para estimativa da relação entre a condutividade elétrica e a composição iônica da água de irrigação Use of linear regression to estimate the relationship b... by Giorgio M. Ribeiro, Celsemy E. Maia, José F. de Medeiros

“…In this paper, the influence of water source, time of sampling, and soil type in the linear regression determination of electrical conductivity as a function of the ions present in the irrigation water was evaluated. …”
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About a Class of Positive Hybrid Dynamic Linear Systems and an Associate Extended Kalman-Yakubovich-Popov Lemma by M. De la Sen

“…This paper formulates an “ad hoc” robust version under parametrical disturbances of the discrete version of the Kalman-Yakubovich-Popov Lemma for a class of positive hybrid dynamic linear systems which consist of a continuous-time system coupled with a discrete-time or a digital one. …”
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Brief resilience scale (BRS) in a sample of Indian college students: evidence of psychometric properties by Shagnik Saha, Rabindra Kumar Pradhan, César Merino-Soto, Guillermo M. Chans

“…However, during validity testing, BRS’s relationship with GSE (Linear: −0.119, p > 0.05, Non-Linear: RESET: 0.019, p > 0.05) and CD-RISC (Linear: −0.005–0.083, p > 0.05; Non-Linear: RESET: 0.287–0.792, p > 0.05) was noted to be insignificant when tested through linear and non-linear latent factor correlations. …”
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Sampled-Data Consensus for High-Order Multiagent Systems under Fixed and Randomly Switching Topology by Niu Jie, Li Zhong

“…This paper studies the sampled-data based consensus of multiagent system with general linear time-invariant dynamics. …”
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Quantitative Modeling of High-Energy Electron Scattering in Thick Samples Using Monte Carlo Techniques by Bradyn Quintard, Xi Yang, Liguo Wang

“…Cryo-electron microscopy (cryo-EM) is a powerful tool for imaging biological samples but is typically limited by sample thickness, which is restricted to a few hundred nanometers depending on the electron energy. …”
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Self-Powered Photoelectrochemistry Biosensor for Ascorbic Acid Determination in Beverage Samples Based on Perylene Material by Wei Zhang, Xinyang Sun, Hong Liu, Lei Shang, Rongna Ma, Xiaojian Li, Liping Jia, Shuijian He, Chuan Li, Huaisheng Wang

“…Compared with other ascorbic acid biosensors, the proposed self-powered PEC biosensor shows a relatively wide linear range. In addition, the proposed self-powered PEC biosensor exhibits good practicability in beverage samples.…”
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Investigation of Super Learner Methodology on HIV-1 Small Sample: Application on Jaguar Trial Data by Allal Houssaïni, Lambert Assoumou, Anne Geneviève Marcelin, Jean Michel Molina, Vincent Calvez, Philippe Flandre

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Analytical assessment of metagenomic workflows for pathogen detection with NIST RM 8376 and two sample matrices by Jason G. Kralj, Stephanie L. Servetas, Samuel P. Forry, Monique E. Hunter, Jennifer N. Dootz, Scott A. Jackson

“…ABSTRACT We assessed the analytical performance of metagenomic workflows using NIST Reference Material (RM) 8376 DNA from bacterial pathogens spiked into two simulated clinical samples: cerebrospinal fluid (CSF) and stool. Sequencing and taxonomic classification were used to generate signals for each sample and taxa of interest and to estimate the limit of detection (LOD), the linearity of response, and linear dynamic range. …”
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Research on the Coordinated Development of Global Urban Economic Competitiveness: Based on a Sample of 1007 Cities by Xiaonan Liu, Pengfei Ni, Fangqu Niu, Bo Li, Qihang Li

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