Modular quantum signal processing in many variables by Zane M. Rossi, Jack L. Ceroni, Isaac L. Chuang

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Effects of Mental Fatigue on Gait Performance and Variability by Ali Zardosht, Jessie Daw, Lee T Atkins, C Roger James, Hyung Suk Yang

“…OBJECTIVES Mental fatigue has been shown to negatively impact physical performance, including motor skills and neuromuscular function. This study aimed to investigate the effects of mental fatigue on gait performance and variability in healthy young male adults. …”
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Resolving structural variability in network models and the brain. by Florian Klimm, Danielle S Bassett, Jean M Carlson, Peter J Mucha

“…Large-scale white matter pathways crisscrossing the cortex create a complex pattern of connectivity that underlies human cognitive function. Generative mechanisms for this architecture have been difficult to identify in part because little is known in general about mechanistic drivers of structured networks. …”
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Importance Measure for Fuzzy Structural Systems from the Probabilistic Perspective and Its Solving Algorithms by Guijie Li, Miaomiao Zhu, Sanyuan Li

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ON AN INITIAL BOUNDARY–VALUE PROBLEM FOR A DEGENERATE EQUATION OF HIGH EVEN ORDER by Akhmadjon K. Urinov, Dastonbek D. Oripov

“…An estimate for solution of the problem was obtained, which implies its continuous dependence on the given functions.…”
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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

“…Our results indicate that a 6-month table tennis training program is efficient and can improve cardiac ANS activity mainly by increasing sympathovagal balance.…”
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Solutions of Bessel’s Differential Equations by Variable Change Method by Beyalfew Anley, Daba Meshesha Gusu, Tolosa Nigussie

“…In this article, the solutions of Bessel’s differential equations (DEs) by variable change method are formulated. To do so, we have considered the first and second kind of Bessel’s functions which are obtained as solutions of Bessel’s equations and it is used to determine the solutions of the lengthening pendulum (LP). …”
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Variable-Rate Incremental-Redundancy HARQ for Finite Blocklengths by Yu Fu, Angel Lozano, Hongwen Yang

“…The optimization relies on a finite-blocklength information-theoretical analysis, whereby the block error rate emerges as a function of the channel capacity and the channel dispersion. …”
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Asymptotic Integration of a Certain Second-Order Linear Delay Differential Equation by P. N. Nesterov

“…This equation also attracts interest from the standpoint of the theory of oscillations of solutions of functional differential equations. We apply the method of asymptotic integration that is based on the ideas of the centre manifold theory in its presentation with respect to the systems of functional differential equations with oscillatory decreasing coefficients. …”
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Measuring the Efficiency and Productivity of Cement Companies in the Tehran Stock Exchange Using Data Envelopment Analysis and Malmquist Productivity Index in Gray Environment by Farjam Kayedppour, Shadi Sayadmanesh, Yasamin Salmani, Zahra Sadeghi

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Research Progress on Technology Parameter Optimization of High-speed Dry Gear Hobbing by CHENG Yao-nan, MA Chun-jie, ZHANG Jian-yu, XIN Li-ming, WANG Xin-yu

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Bio-optical variability of particulate matter in the Southern Ocean by Juan Li, Juan Li, David Antoine, David Antoine, Yannick Huot

“…Here, we combined field measurements from hydrographic casts from two research voyages and from autonomous profiling floats (BGC-Argo) to examine particulate bio-optical properties and relationships among several ecologically and optically important variables, namely the phytoplankton chlorophyll a concentration (Chl), the particulate absorption coefficient (ap), the particulate backscattering coefficient (bbp), and the particulate organic carbon (POC) concentration. …”
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Spatial variability of the snow depth on mountain slope in Svalbard by P. A. Chernous, N. I. Osokin, R. A. Chernov

“…The study was carried out to estimate the spatial variability of snow cover depths in avalanche centers of the mountain slopes of Svalbard. …”
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Variable Selection and Parameter Estimation with the Atan Regularization Method by Yanxin Wang, Li Zhu

“…Many variable selection techniques may be implemented by penalized least squares using various penalty functions. …”
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Microstrip Patch Antenna Design Using a Four-Layer Feed Forward Artificial Neural Network Trained by Levenberg-Marquardt Algorithm by Jitu Prakash Dhar, Maodudul Hasan, Eisuke Nishiyama, Ichihiko Toyoda

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Modular and efficient assembly of CRISPR vectors and construction of an apple gene editing efficiency evaluation system by HOU Feifan, HUANG Chuanmi, HAO Pengbo, CONG Liu, BAI Tuanhui, SHI Jiangli, WANG Miaomiao, LIU Yu, ZHAO Yujie, WAN Ran, SHEN Yawen, ZHANG Hengtao, ZHANG Kunxi, ZHENG Xianbo, JIAO Jian

“…Furthermore, vacuum infiltration mediated transient transformation of apple leaves confirmed PDS gene editing through RT-PCR amplification and Sanger sequencing of target loci, and preliminarily evaluated the editing efficiency of gRNAs targeting the apple PDS gene. The experimental data demonstrated variable editing efficiencies among distinct gRNAs. …”
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Energy-Efficient Office Renovation by Minyoung KWON

“… This research aims to develop user-focused design principles for energy-efficient office renovations. The goal of this is to improve the quality and comfort of workspaces without compromising on energy-saving goals. …”
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Modeling Spatial Data with Heteroscedasticity Using PLVCSAR Model: A Bayesian Quantile Regression Approach by Rongshang Chen, Zhiyong Chen

“…Through an approximation of the nonparametric functions with free-knot splines, we develop a Bayesian sampling approach that can be applied by the Markov chain Monte Carlo (MCMC) approach and design an efficient Metropolis–Hastings within the Gibbs sampling algorithm to explore the joint posterior distributions. …”
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Bistable variable stiffness laminates - novel manufacturing and modeling strategies by P.M. Anilkumar, A. Haldar, G. Clancy, S. Scheffler, B.N. Rao, P.M. Weaver, R. Rolfes

“…Bistable laminates offer a path to energy-efficient and multi-functional structures, with potential applications in various engineering domains. …”
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Inter-phantom variability in digital mammography: implications for quality control by Gisella Gennaro, Gilberto Contento, Andrea Ballaminut, Francesca Caumo

“…Variability was assessed by calculating intra- and inter-phantom variances and coefficients of variation (COVs). …”
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