Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

“…The original data included daily runoff from January 2005 to December 2012. [Methods] This study first employed Multivariate Variational Mode Decomposition(MVMD) to decompose the original daily runoff data from the two stations, reducing data complexity. …”
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Examining the Impact of Variations in Executive Functions on Students’ Problem-Solving Behaviors by Tongxi Liu

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Experimental Study on Variation Rules of Damping with Influential Factors of Tuned Liquid Column Damper by Yang Yu, Lixin Xu, Liang Zhang

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Efficiency of Hysteresis Rods in Small Spacecraft Attitude Stabilization by Assal Farrahi, Ángel Sanz-Andrés

“…A semiempirical method for predicting the damping efficiency of hysteresis rods on-board small satellites is presented. …”
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Efficient and Accurate Force Replay in Cosmological-baryonic Simulations by Arpit Arora, Robyn Sanderson, Christopher Regan, Nicolás Garavito-Camargo, Emily Bregou, Nondh Panithanpaisal, Andrew Wetzel, Emily C. Cunningham, Sarah R. Loebman, Adriana Dropulic, Nora Shipp

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Maximizing photovoltaic thermal system through computational fluid dynamics-driven multi-factor parametric optimization: A Taguchi-grey relational analysis method to enhancing elec... by Natnale Sitotaw Asefa, Kiran Shahapurkar, Tilahun Nigussie, Abdulkadir Aman Hassen, Manzoore Elahi M. Soudagar, Yasser Fouad, Irfan Ali, Sagar Shelare, Shubham Sharma, V.K. Bupesh Raja, Abinash Mahapatro, Sarabjit Singh, Abhinav Kumar, Ehab El Sayed Massoud, Jasmina Lozanovic

“…This approach optimises electrical and thermal efficiency, tackling essential performance compromises overlooked by traditional methods. …”
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Evaluation Method of Water Injection Development Effects in Fractured Vuggy Carbonate Reservoirs: Case Study of F_I7 Strike-Slip Fault Zone by Jie Geng, Long Xiao, Ping Yue, Yun Xiao, Hongnan Yang, Simin Qu, Xia Wang

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Learning protocols for the fast and efficient control of active matter by Corneel Casert, Stephen Whitelam

“…Our results show that protocols identified by a flexible neural-network ansatz, which allows the optimization of multiple control parameters and the emergence of sharp features, are more efficient than protocols derived recently by constrained analytical methods. …”
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VOICE-BASED IDENTIFICATION AND CONTRIBUTION TO THE EFFICIENCY OF CRIMINAL PROCEEDINGS by Jadranka Otašević, Božidar Otašević

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An Efficient Uncertainty-Driven Learning for Stochastic Super-Resolution by Daeyoung Han, Seongmin Hwang, Hoyeon Ahn, Moongu Jeon

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A study on slope variation of a cantilever beam under the effect of transverse and compressive forces by S.E. Ghasemi

“…Additionally, the effects of key physical parameters on slope variation are explored. The findings confirm that AGM provides an efficient and accurate analytical approximation for such nonlinear boundary value problems.…”
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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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Efficient quantum circuits based on the quantum natural gradient by Ananda Roy, Sameer Erramilli, Robert M. Konik

“…Efficient preparation of arbitrary entangled quantum states is crucial for quantum computation. …”
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PRED-LD: efficient imputation of GWAS summary statistics by Georgios A. Manios, Aikaterini Michailidi, Panagiota I. Kontou, Pantelis G. Bagos

“…Conclusions PRED-LD offers an efficient and accurate method for GWAS summary statistics imputation, providing faster performance, direct result interpretation, and the ability to use multiple reference panels. …”
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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

“…[Objective] The long-term variations of soil saturated hydraulic conductivity (Ks) and its primary controlling factors in terraces on the Loess Plateau were explored. …”
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Experimental Study on Rheological Properties and Strength Variation of High Concentration Cemented Unclassified Tailings Backfill by Shijiao Yang, Xing Xing, Shuai Su, Fulin Wang

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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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