Results of specialized outpatient follow-up of patients with embolic stroke of undetermined source by P. I. Merkureva, J. D. Bogatenkova, I. A. Voznyuk, V. A. Sorokoumov, E. A. Popov

“…We presented comparative results on the structure of incidence rate, age differences, comorbid pathology, as well as on the frequency of repeated cardiovascular events in groups with cardioembolic stroke and embolic stroke of undetermined source.Conclusions. Patients with ESUS are an extremely difficult category of patients for diagnostic search, for whom the actual task is to develop an examination algorithm for the earliest possible detection of the cause of stroke and to determine the optimal methods of secondary prevention.…”
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Project of using low-potential energy sources at the Bratsk hydro power plant by V. D. Yurovskaya, S. V. Latushkina

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Hybrid harbor seal and jellyfish optimization technique for selecting the optimal location of hybrid renewable energy system by Radwa S. A. Gad, Hegazy Zaher, H. Al-Wahsh, M. H. Eid, Wael M. AlMetwaly, Islam M. Abdelqawee

“…Abstract Availability of a dependable electricity source is essential for improving living standards. …”
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Advancements in osteoblast sourcing, isolation, and characterization for dental tissue regeneration: a review by Venkata Suresh Venkataiah, Deepak Mehta, Mohammad Fareed, Mohmed Isaqali Karobari

“…Conclusion This review highlights the importance of selecting appropriate osteoblast sources and methods for dental research to optimize outcomes in periodontal and implant-related therapies. …”
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Research progress and challenges in thermal maturity evalution of Lower Paleozoic source rocks by Xiaowei ZHENG, Fujie JIANG, Yu ZHANG, Jingqi ZHOU

“…This study systematically summarizes organic matter maturity evaluation methods based on organic petrology, geochemistry, and spectroscopy, with the goal of assessing the applicability of various maturity parameters for highly to over-mature source rocks in the Lower Paleozoic, thereby providing insights for deep hydrocarbon resource exploration. …”
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Grid-connected PV inverter system control optimization using Grey Wolf optimized PID controller by Monika Gupta, P. M. Tiwari, R. K. Viral, Ashish Shrivastava, Basem Abu Zneid, Iryna Hunko

“…The proposed GWO-PID method overcomes these limitations by leveraging the GWO algorithm’s global search capability to dynamically optimize the PID gains (Kp, Ki, Kd) based on a composite fitness function that minimizes Mean Squared Error (MSE) and THD. …”
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Advances in the Application of Intelligent Algorithms to the Optimization and Control of Hydrodynamic Noise: Improve Energy Efficiency and System Optimization by Maosen Xu, Bokai Fan, Renyong Lin, Rong Lin, Xian Wu, Shuihua Zheng, Yunqing Gu, Jiegang Mou

“…In recent years, intelligent algorithms represented by data-driven algorithms and heuristic algorithms have gradually emerged, showing great potential for development in hydrodynamic noise optimization applications. To this end, this paper systematically reviews progress in the application of intelligent algorithms in hydrodynamic noise research, focusing on their advantages in the optimal design of noise sources, noise prediction, and control strategy optimization. …”
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Sensitivity and optimization study on heat transfer enhancement of MHD hybrid nanofluid radiative transient flow past a spinning surface with quadratic Boussinesq approximation and... by Thirupathi Thumma, Surender Ontela, Rupalaksmi Dharanikota

“…To optimize and analyze the heat transfer rate, Response Surface Methodology (RSM) is combined with a Central Composite Design (CCD) model, providing a robust framework for both sensitivity and optimization analysis. …”
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Optimization of α-mangostin and catechins compound extraction from mangosteen skin extract (Garcinia Mangostana L.) as potential antioxidant using combination method of microwaved... by Hakun Wirawasista Aparamarta, Muhammad Rizky Sanjaya, Rigen Azimatarrusydi, Tepy Lindia Nanta, Arief Widjaja, Michael W.Y. Chan

“…Mangosteen (Garcinia mangostana L.) peel is an abundant and renewable source of bioactive compounds, particularly α-mangostin and catechins, known for their strong antioxidant properties. …”
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Building Fire Location Predictions Based on FDS and Hybrid Modelling by Yanxi Cao, Hongyan Ma, Shun Wang, Yingda Zhang

“…Combining convolutional neural networks (CNNs) and support vector machines (SVMs) for prediction, the fire-source location prediction model with temperature, smoke, and CO concentration as feature quantities was constructed, and the hyperparameters affecting the model accuracy and generalisation were optimised by the Crested Porcupine Optimizer (CPO) algorithm. …”
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A Model Predictive Control to Improve Grid Resilience by Joseph Young, David G. Wilson, Wayne Weaver, Rush D. Robinett

“…To accomplish this, the following article includes a description of a reduced order model (ROM) of an electric power grid based on a circuit model, an optimization formulation that describes the MPC, a collocation method for solving linear time-dependent differential algebraic equations (DAEs) that result from the ROM, and an overall strategy for iteratively refining the behavior of the MPC. …”
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Efficient recovery of phosphorus from phosphogypsum leachate based on struvite precipitation by MA Jingfeng, WU Xiang, FANG Haoyuan, MEI Ke, JIANG Shan, ZHU Shujing*

“…In this study, a struvite precipitation method was proposed to recover phosphorus sources from phosphogypsum and its leachate to prepare valuable percolate-based struvite crystal (PSL-S). …”
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Screening of Novel Source for Genistein by Rapid and Sensitive UPLC-APCI-TOF Mass Spectrometry by Aparna Bettaiah, Hema Bommanamane Prabhushankar

“…The main objective of the current research work was to discover the novel source for genistein by the simple method of extraction and quantification. …”
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Localization of Near-Field Sources Based on Sparse Signal Reconstruction with Regularization Parameter Selection by Shuang Li, Wei Liu, Daqing Zheng, Shunren Hu, Wei He

“…In this paper, a new source localization method based on sparse signal reconstruction is proposed in the near-field. …”
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An Integrated Electricity–Gas–Heat Energy System Based on the Synergy of Long- and Short-Term Energy Storage by Min Zhang, Jinhao Wang, Huiqiang Zhi, Jun Zhao, Xiao Chang, Shifeng Zhang, Xiangyu Guo, Tengxin Wang

“…To cope with this challenge, hybrid energy storage systems, as flexible regulation schemes, are capable of balancing the supply and demand of the power system according to different timescales and power demands, and enhancing the efficiency and utilization of new energy sources. Therefore, this paper proposes an integrated energy system planning and optimization method based on hybrid energy storage. …”
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Diffusion-Based Sound Source Localization Using a Distributed Network of Microphone Arrays by Davide Albertini, Alberto Bernardini, Gioele Greco, Augusto Sarti

“…In this article, we recast the task of sound source localization (SSL) with networks of acoustic arrays as a distributed optimization problem. …”
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Design and Application of Bidirectional Converter Based on DAB for Hydrogen Energy Dual-source Locomotive by LUO Pan, RAO Peinan, ZHOU Fengwu, ZHANG Xiaoyong, ZHOU Shuai, ZHANG Qing

“…This paper describes the main circuit design and control strategy of a 440 kW bi-directional isolated DC/DC converter, innovatively proposes a design method of energy storage inductor, which takes the minimum of the peak current of inductor as the optimization objective.The feasibility of the design is verified through principle simulation and test. …”
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Learning on Bandwidth Constrained Multi-Source Data With MIMO-Inspired DPP MAP Inference by Xiwen Chen, Huayu Li, Rahul Amin, Abolfazl Razi

“…Extensive experiments verify the superiority of our scalable method over the most commonly used data selection methods, including GreeDi, Greedymax, random selection, and stratified sampling by a substantial gain of at least 12% reduction in Relative Diversity Error (RDE). …”
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A Comprehensive Review of Voltage Source Converters-Based FACTS Controllers in Hybrid Microgrids by Maloth Hussen, Thirumalaivasan Rajaram

“…The focus is on acknowledging the development of voltage source controllers, starting from conventional control techniques to the integration of more advanced methods like optimization strategies, adaptive control, and machine learning-based approaches. …”
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Loop-invariant Optimization in the Pifagor Language by Vladimir S. Vasilev, Alexander I. Legalov

“…The paper considers methods of program transformation equivalent to optimizing the cycle invariant, applied to the functional data-flow model implemented in the Pifagor programming language. …”
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