Model-Based Variation-Aware Optimization for Offset Calibration and Pre-Sensing in DRAM Sense Amplifiers by Dongyeong Kim, Geon Kim, Suyeon Kim, Jewon Park, Sinwook Kim, Hyeona Seo, Chaehyuk Lim, Sowon Kim, Juwon Lee, Jeonghyeon Yun, Hyerin Lee, Jinseok Park, Yongbok Lee, Seungchan Lee, Myoungjin Lee

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UNCERTAINTY OF THE RESULTS OF THE RADON CONTROL IN HOUSINGS. PART 2. EXPERIMENTAL ASSESSMENT OF THE TEMPORAL VARIATIONS OF RADON by A. A. Tsapalov, S. M. Kiselev, A. M. Marennyy, K. L. Kovler, S. I. Kuvshinnikov, A. S. Yankin

“…Evaluation of the representativeness of the data obtained and the method for verification and elaboration of the table values of KV(t) are provided as well. …”
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A droplet digital PCR assay to measure pilin antigenic variation frequency in Neisseria gonorrhoeae by Sarah J. Quillin, Di Luo, Aoife Gavagan, Arthur Prindle, H Steven Seifert

“…We developed a quick and precise method for measuring pilin antigenic variation (Av) frequency using droplet digital PCR (ddPCR) technology. …”
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Calculus of Variations and Nonlinear Optimization Based Algorithm for Optimal Control of Hybrid Systems with Controlled Switching by Hajer Bouzaouache

“…An efficient algorithm, based on nonlinear optimization techniques and numerical methods, is proposed to solve the boundary-value ordinary differential equations. …”
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Simulating Methylamine Using a Symmetry-Adapted, Qubit Excitation-Based Variational Quantum Eigensolver by Konstantin M. Makushin, Aleksey K. Fedorov

“…We present a study aimed at reducing the quantum resource overhead in quantum chemistry simulations using the variational quantum eigensolver (VQE). Our approach achieves up to a two-orders-of magnitude reduction in the required number of two-qubit operations for variational problem-inspired ansatzes. …”
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Regularized sequence-context mutational trees capture variation in mutation rates across the human genome. by Christopher J Adams, Mitchell Conery, Benjamin J Auerbach, Shane T Jensen, Iain Mathieson, Benjamin F Voight

“…Germline mutation is the mechanism by which genetic variation in a population is created. Inferences derived from mutation rate models are fundamental to many population genetics methods. …”
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The Long-term Variations and Influencing Factors of Soil Saturated Hydraulic Conductivity in Terraces on the Loess Plateau by PENG Xin, NI Lingshan, JI Keyan, DAI Wei, WANG Zhuoxiao, CHANG Heng, FANG Nufang

“…[Methods] Terraces were selected for three land use types, i.e. farmland, orchard, and grassland, with slope designated as the control. …”
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Efficient Gabor Phase Based Illumination Invariant for Face Recognition by Chunnian Fan, Shuiping Wang, Hao Zhang

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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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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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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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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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VTformer: a novel multiscale linear transformer forecaster with variate-temporal dependency for multivariate time series by Rui Dai, Zheng Wang, Jing Jie, Wanliang Wang, Qianlin Ye

“…Moreover, a novel adaptive fusion method is designed to propagate complementary information from the perspective of variate and temporal to promote prediction. …”
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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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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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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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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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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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Agronomic efficiency of partially acidulated and granulated Arraias phosphate rock by Vinicius de Melo Benites, Sulian Junkes Dal Molin, Cassio Sitta, Ernesto Sitta Neto, Carla Nascimento, Jéssica Franciele Kaminski Ramos, Philip A. Moore Jr.

“…For the second experiment, treatments were 15 % PAPR granulated to average sizes of 0.25, 0.75, 1.50, and 2.4 mm. The agronomic efficiency of all variations of the PR was lower than the TSP. …”
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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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