Determination of heart rate variability as an indicator of the influence of the tone of the autonomic nervous system in goats by B. I. Boychuk, V. I. Karpovskyi, I. A. Hryshchuk, V. A. Tomchuk, A. V. Hryshchuk, B. V. Gutyj, V. V. Karpovskyi

“…A cardiograph was used to diagnose the variability of the heart rate, followed by the determination of the main indicators according to Baevsky's method, which included the determination of mode, mode amplitude, variation range, autonomic balance index, autonomic rhythm index, and stress index. …”
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Optimizing fully-efficient two-stage models for genomic selection using open-source software by Javier Fernández-González, Julio Isidro y Sánchez

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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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Application of Modified Laplace Variational Iteration Hybrid Approach for Solving Time-Fractional Fourth-Order Parabolic PDEs by Mehari Fentahun Endalew, Xiaoming Zhang

“…The modified Laplace variational iteration approach and the homotopy perturbation method were used to treat nonlinear, fourth-order, time-fractional partial differential equations with time-fractional derivatives. …”
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Efficient curve fitting with penalized B-splines for oceanographic and ecological applications by Kwan-Young Bak, Dong-Young Lee, Ju-Seong Lee, Hee-Jung Jee, R. Jisung Park, Ja-Yong Koo, Jae-Hwan Jhong

“…By leveraging group penalties and the Alternating Direction Method of Multipliers (ADMM) algorithm, the method ensures consistency across response variables and computational efficiency. …”
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Multi-Frame Depth Super-Resolution for ToF Sensor With Total Variation Regularized L1 Function by Jonghyun Kim, Jaeduk Han, Moon Gi Kang

“…In this paper, we propose a multi-frame depth super-resolution (SR) method based on <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula> data fidelity with the total variation regularization (TV-<inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula>) model. …”
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Enhanced forecasting of shipboard electrical power demand using multivariate input and variational mode decomposition with mode selection by Paolo Fazzini, Giuseppe La Tona, Matteo Diez, Maria Carmela Di Piazza

“…This work contributes to ongoing efforts in optimizing decomposition methods for predictive modeling in energy management, opening new avenues for improving shipboard power grid efficiency.…”
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Fuzzy Neural Technique Based Dynamic Voltage Restorer for Power Quality Enhancement Under Different Voltage Variations by Abdul-Jabbar Fathel Ali, Wael Hussein Zayer, Samhar Saeed Shukir

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Establishing an Efficient Way to Utilize the Drought Resistance Germplasm Population in Wheat by Jiancheng Wang, Yajing Guan, Yang Wang, Liwei Zhu, Qitian Wang, Qijuan Hu, Jin Hu

“…Unweighted pair-group average (UPGMA) method was used to perform hierarchical cluster analysis. …”
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Efficient Numerical Analysis of a Periodic Structure of Multistate Unit Cells by Ladislau Matekovits, Karu P. Esselle, Mirko Bercigli, Rodolfo Guidi

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Enhancement of Light Extraction Efficiency Using Wavy-Patterned PDMS Substrates by Jian Cheng Bi, Kyo-Cheol Kang, Jun-Young Park, Junbeom Song, Ji-Sung Lee, Hyejung Lim, Young Wook Park, Byeong-Kwon Ju

“…This study demonstrates the potential of this cost-effective and efficient method in advancing high-quality display.…”
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Efficient RANSAC in 4D Plane Space for Point Cloud Registration by Chang Liu, Chao Liu, Yuming Zhang, Zhongqi Wu, Jianwei Guo

“…3D registration methods based on point-level information struggle in situations with noise, density variation, large-scale points, and small overlaps, while existing primitive-based methods are usually sensitive to tiny errors in the primitive extraction process. …”
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Quantifying variation of non-point source pollution and its impact factors: A study of Nansi Lake Basin. by Jiachen Liu, Yuan Tian, Rongqiang Ma, Wenhui Xie, Dongchao Wang, Luoan Yang, Xinyu Wang, Le Yin, Baolei Zhang

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Assessment Efficiency of Vermifiltration in Municipal Wastewater Treatment: A Pilot Study by Mohammad Fahiminia, Morteza Shanbedi, Ahmad Reza Yari, Mehdi Asadi, Davood Jalili Naghan

“…Conclusion: Vermifilter is one of the feasible methods for wastewater treatment. Therefore, VF technology can be considered an environmentally friendly method for wastewater treatment.…”
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Efficiency of Inter-Budgetary Regulation of Heavily Subsidized Budgets at the Subnational Level by М. Р. Tashtamirov

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Evaluating Variational Quantum Eigensolver Approaches for Simplified Models of Molecular Systems: A Case Study on Protocatechuic Acid by Gleydson Fernandes de Jesus, Erico Souza Teixeira, Lucas Queiroz Galvão, Maria Heloísa Fraga da Silva, Mauro Queiroz Nooblath Neto, Bruno Oziel Fernandez, Amanda Marques de Lima, Eivson Darlivam Rodrigues de Aguiar Silva, Clebson dos Santos Cruz

“…Subsequently, all VQE results were compared to those obtained with the CISD and FCI methods. The results demonstrate that Ansatzes, like Unitary Coupled Cluster Singles and Doubles (UCCSD) and variations of Hardware-Efficient Ansatzes, generally achieve accuracy close to that of FCI. …”
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The analysis of efficiency of use of mobile mammographs in territorial subjects of the Russian Federation by D. A. Kaprin

“…To study equipment of health care systems of territorial subjects of the Russian Federation mobile mammography caravans and to estimate results of their work.Materials and methods. Sources of information on volumes of work of mobile mammography caravans – a form of federal statistical observation No. 30 on each of territorial subjects of the Russian Federation. …”
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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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Estimation of inelastic skeletal storativity based on SAR-derived land subsidence and groundwater variation in Beijing Plain, China by Chenxia Li, Yanbing Wang, Jie Yu, Huili Gong, Xiaojuan Li, Xiyue Yang, Haowen Cheng, Xiaohuan Li, Kemiao Shao

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Secure and Intelligent Single-Channel Blind Source Separation via Adaptive Variational Mode Decomposition with Optimized Parameters by Meishuang Yan, Lu Chen, Wei Hu, Zhihong Sun, Xueguang Zhou

“…Experiments on the RML2016.10a dataset demonstrate a 15.7% improvement in separation efficiency over conventional methods, with robust performance for BPSK and QPSK signals, achieving correlation coefficients above 0.9 and signal-to-noise ratio (SNR) improvements of up to 24.66 dB.…”
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