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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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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Recent Changes and Variation in Precipitation over Asia-Pacific Region in relation to Long-Term Temperature and MSLP by Gargi Akhoury, Kirti Avishek, Moushumi Hazra

“…The temperature datasets are analyzed up to the level 500 hPa. Monte Carlo method of correlation and Bootstrapping method of confidence interval are used to analyze the relation of GPCP with MSLP and temperature at all defined levels. …”
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A new exponentially directional weighted function based CT image denoising using total variation by Manoj Kumar, Manoj Diwakar

“…Therefore, we propose a method based on the modification of total variation (TV) for noise suppression in CT images which is helpful to preserve the clinically relevant details. …”
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A Frequency-Shifting Variational Mode Decomposition-Based Approach to MI-EEG Signal Classification for BCIs by Haiqin Xu, Shahzada Ali Hassan, Waseem Haider, Youchao Sun, Xiaojun Yu

“…This study proposes a novel solution through the frequency-shifting variational mode decomposition (FS-VMD) method, which overcomes the limitations of traditional SD techniques by providing better resolution of intrinsic mode functions (IMFs). …”
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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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Deformable detection transformers for domain adaptable ultrasound localization microscopy with robustness to point spread function variations by Sepideh K. Gharamaleki, Brandon Helfield, Hassan Rivaz

“…We further refine the super-resolution map by employing a KDTree algorithm for efficient MB tracking across consecutive frames. We evaluated our method using both simulated and in vivo data, demonstrating improved precision and recall compared to current state-of-the-art methodologies. …”
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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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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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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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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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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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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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Internal control system of accounts receivable: directions of perfection by Payanok T.M.

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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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Quantum computing for molecular vibrational energies: A comprehensive study by Somasundaram R., Jayaharish R., Rohith Ramanan, Chandra Chowdhury

“…Furthermore, we employ the CHC Ansatz in conjunction with the Variational Quantum Deflation (VQD) algorithm to determine the excited vibrational state energies, which is compared against the reliable method of quantum Equation of Motion(qEOM). …”
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Simple Selection Index (SSI) Method in Electric Vehicle Selection for Logistics Companies by Hadi Hikmadyo Bisono, Ema Utami

“…With its more efficient process, the SSI method holds strong potential for application in fast and straightforward multi-criteria decision-making scenarios.…”
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Energy Efficient RANSAC Algorithm for Flat Surface Detection in Point Clouds by Anatoliy Zhuchenko, Oleksiy Kuchkin, Artem Sazonov, Danylo Zghurskyi

“…In this work, many variations of the random sample consensus (RANSAC) method are analyzed for objects defined by a mathematical model of an analytical form. …”
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