Influence of the Selection Criteria for Regional Industrial Projects on Their Implementation Efficiency by K. B. Shaldarbekov, Z. S. Nurmukhambetova, K. B. Shaldarbekova, A. M. Zhantayeva

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Compressed Sensing of Vibration Signal for Fault Diagnosis of Bearings, Gears, and Propellers Under Speed Variation Conditions by Yuki Kato, Masayoshi Otaka

“…This represents a novel approach for efficiently capturing the essential features of vibration signals under rotational speed variations. …”
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Capabilities for Probing of Upper Atmosphere Density Variations and Seismic-Orbital Effects Using Small-Size Spacecraft by A. V. Tertyshnikov

“…The "falling spheres method" is used to probe variations in the density of the upper atmosphere.A technical solution for diagnostics of orbital sections with abnormal changes in the speed and acceleration of  spacecraft  equipped  with  onboard  navigation  receivers  and  micro-accelerometers is considered.The technical result of the proposed development is the efficiency and cost – effectiveness of sounding variations in the density of the upper atmosphere, seismic-orbital effects-variations in the density of the atmosphere over earthquake-regions and the seismic hazard.…”
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Impact of temporal and rearing environment variations on brood ester pheromone production in the honey bee Apis mellifera by Mondet, Fanny, Beslay, Dominique, Cousin, Marianne, Le Conte, Yves

“…In this study, we investigated the temporal variations of BEP under natural conditions as well as the developmental variations of the 10 compounds for in-hive versus in vitro reared brood. …”
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Time-Variation Damping Dynamic Modeling and Updating for Cantilever Beams with Double Clearance Based on Experimental Identification by Yunhe Zhang, Fanjun Meng, Xueguang Li, Wei Song, Dashun Zhang, Faping Zhang

“…First, a dynamic model framework for manipulator arms is established based on the Hamilton principle and hypothetical mode method with time-variation damping. Then, a multi-resolution identification is performed for identifying the instantaneous frequency and damping ratio to estimate stiffness and damping by the sensors. …”
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Post-extrasystolic variation of ST segment and T wave as a mortality risk predictor after myocardial infarction by Ralf J. Dirschinger, Ralf J. Dirschinger, Alexander Müller, Petra Barthel, Alexander Steger, Michael Dommasch, Axel Bauer, Karl-Ludwig Laugwitz, Georg Schmidt, Daniel Sinnecker, Daniel Sinnecker

“…The aim of this study was to assess whether this post-extrasystolic ST segment and T wave variation (PEST) conveys prognostic information regarding the mortality risk of cardiac patients.MethodsPEST was calculated from 30-min ECGs obtained from 941 survivors of acute myocardial infarction (AMI) as mean difference between the sum of squared voltages from three orthogonal leads (XYZ) of the first (post-extrasystolic) and second (reference) beat after each VPC, in a time window between the limits ϕ1 and ϕ2. …”
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Variational Quantum Monte Carlo Solution of the Many-Electron Schrödinger Equation Based on Deep Neural Networks by Huiping Su, Hongbo Gao, Xinmiao Wang, Xi He, Da Shen

“…Therefore, it is crucial to find an effective numerical method. To solve this problem, this paper present a deep learning architecture, VMCNet, using the powerful computational efficiency of neural networks to improve the speed of numerical computation. …”
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Subspace-based local compilation of variational quantum circuits for large-scale quantum many-body simulation by Shota Kanasugi, Yuichiro Hidaka, Yuya O. Nakagawa, Shoichiro Tsutsui, Norifumi Matsumoto, Kazunori Maruyama, Hirotaka Oshima, Shintaro Sato

“…The LSVQC performs a variational optimization to reproduce the action of the target time-evolution operator within a physically reasonable subspace. …”
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Copy number variations at the Rhg1 locus and their relationship with resistance to soybean cyst nematode (Heterodera glycines) by Dinesh Poudel, Guiping Yan, Carrie Miranda, Gustavo Fernando Kreutz, Intiaz Amin Chowdhury

“…The Rhg1 locus contributes to the strong and effective SCN resistance, with resistance levels predominantly governed by copy number variations (CNVs) and, to lesser extent, sequence variations. …”
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Equity and efficiency of health resource allocation in Sichuan Province, China by Minghua Zhou

“…Methods Theil index, coefficient of variation, equalization index and health resource agglomeration degree (HRAD) were used to analyze the equity of health resource allocation, and data envelopment analysis (DEA) was used to analyze the efficiency of health resource allocation in Sichuan Province from 2017 to 2021. …”
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SLPDBO-BP: an efficient valuation model for data asset value by Cuiping Zhou, Shaobo Li, Cankun Xie, Panliang Yuan, Zihao Liao

“…Data asset value assessment is of strategic significance to the development of data factorization, in order to solve the problems of strong assessment subjectivity and low assessment efficiency and accuracy in traditional assessment methods. …”
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Machine learning aids in the discovery of efficient corrosion inhibitor molecules by Haiyan GONG, Lingwei MA, Dawei ZHANG

“…These technologies not only enhance screening efficiency but also uncover molecular structures and properties that traditional methods may overlook. …”
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Evaluating performance variations cross cloud data centres using multiview comparative workload traces analysis by Li Ruan, Xiangrong Xu, Limin Xiao, Lei Ren, Nasro Min-Allah, Yunzhi Xue

“…Classic methods such as profiling-based evaluating methods tend to only provide global statistics for a system compared with cloud tracing based approaches. …”
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The impact of quantum circuit architecture and hyperparameters on variational quantum algorithms exemplified in the electronic structure of the GaAs crystal by Ivana Miháliková, Michal Krejčí, Martin Friák

“…We analyze the impact of quantum circuit architectures, algorithm hyperparameters, and optimization methods on two VQAs: Variational Quantum Deflation (VQD) and Subspace Search Variational Quantum Eigensolver (SSVQE). …”
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Variations in Poisoning Epidemiology and Management During the Initial COVID-19 Outbreak in a Taiwanese Emergency Department by Chen LC, Mao CY, Cheong CW, Chen WC, Yen TH, Chen HY

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Ancient Javanese Manuscript Reconstruction Using Generative Adversarial Network with StarGAN v2 Variations by Kukuh Cokro Wibowo, Fitri Damayanti, Fanky Abdilqoyyim

“…This paper presents a manuscript reconstruction using the Generative Adversarial Network model, using the variation of StarGAN v2. The primary objective of this research is to assist philologists in reconstructing damaged manuscripts more efficiently, reducing the time and effort compared to manual reconstruction methods. …”
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Integrated Model Selection and Scalability in Functional Data Analysis Through Bayesian Learning by Wenzheng Tao, Sarang Joshi, Ross Whitaker

“…We propose a novel Bayesian framework with a nonparametric kernel expansion and a sparse prior, enabling the direct modeling of measured data and avoiding the artificial biases from regridding. Our method, Bayesian scalable functional data analysis (BSFDA), automatically selects both subspace dimensionalities and basis functions, reducing the computational overhead through an efficient variational optimization strategy. …”
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PROSPECTS OF DIAGNOSTICS OF AUTISM SPECTRUM DISORDERS IN CHILDREN by O. G. Novoselova, G. A. Karkashadze, N. V. Zhurkova, O. I. Maslova

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Internal control system of accounts receivable: directions of perfection by Payanok T.M.

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Approximate Solutions of Nonlinear Boundary Value Problems by Collocation Methods Compared to Newer Methods by Hasan Ömür Özer, Birkan Durak, Aziz Sezgin, Lütfi Emir Sakman

“…A large variety of new methods are being developed for fast and efficient solutions of nonlinear boundary value problems. …”
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