Photosynthetic efficiency and chlorophyll fluorescence responses of Viola ignobilis Rupr. subjected to different biostimulants and two light intensities by Roshanak Ansari, Khodayar Hemmati, Sara Khorasaninejad, Nahid Niari Khamsi

“…Nowadays, domestication of medicinal plants in accordance with sustainable agricultural methods is a new important challenge. In this research, we used biostimulants and optimization of light intensity as eco-friendly approaches to improve yield and photosynthetic efficiency of V. ignobilis Rupr. …”
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Intelligent Data Reduction for IoT: A Context-Driven Framework by Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas

“…It is technique-agnostic, scalable, and adaptable to any DR method with available training data, acting as an open decision-support solution. …”
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Study on ultrasonic-assisted deep eutectic solvent extraction process and in vitro antioxidant of Anchusa italica Retz. Flowers by Linyang Wang, Pin Chen, Ainiwaer Aikemu, Haiyan Zhang, Shuge Tian

“…The comprehensive evaluation value (CEV), derived from the total polyphenol content (TPC) and RA, was optimized under the aforementioned conditions, yielding a CEV of 222.452.The optimized extraction method presents a sustainable and efficient protocol for the isolation of bioactive compounds from natural sources, thereby underscoring the significance of this research in the field of natural product chemistry and ultrasonics Sonochemistry.…”
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The Comprehensive Energy and Exergy Analysis on Thermal-Catalytic-Type and Thermal-Catalytic–Photovoltaic-Type Trombe Walls by Weikai Wang, Niansi Li, Wei Wei, Jie Ji, Bendong Yu

“…The aim of this study is to address the lack of comprehensive analysis methods for multi-functional Trombe wall systems. …”
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IMPROVE OF UNCERTAIN MICROSATELLITE MAGNETIC CLEANLINESS BASED ON MAGNETIC FIELD SPATIAL HARMONICS COMPENSATION by Б.І. Кузнецов, Т.Б. Нікітіна, І.В. Бовдуй, К.В. Чуніхін, В.В. Коломієць, Б.Б. Кобилянський

“…Vector payoff calculated based on development method for analytical calculation of magnetostatic field induction of spherical sources in the Cartesian coordinate system (CCS) using Wolfram Mathematica ® software. …”
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Research Status and Prospects of Distribution Network Planning Technology Based on Artificial Intelligence by LI Jingru, LI Hongjun, MA Liang, JIANG Shigong, MU Chaoxu, SI Chenyi

“…The traditional planning method based on manual decision-making hinders distribution network optimization due to massive factors， complex structures， and numerous pieces of equipment. …”
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Systemic approach in the development of functional foods for various noncommunicable diseases by I. M. Chernukha, M. A. Nikitina, M. A. Aslanova, A. T. Qusay

“…As a result, we receive a modified Muhammara recipe with optimized protein: fat ratio. Mathematical simulation was carried out using the R Studio software with open-source lpSolve and lpSolveAPI libraries.…”
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Electrochemical Storage and Flexibility in Transfer Capacities: Strategies and Uses for Vulnerable Power Grids by Gustavo Adolfo Gómez-Ramírez, Luis García-Santander, José Rodrigo Rojas-Morales, Markel Lazkano-Zubiaga, Carlos Meza

“…The integration of renewable energy sources into electrical power systems presents enormous challenges in technical terms, especially with energy storage. …”
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Energetically self-sufficient robot group study kit by M. A. Rovbo, A. A. Malyshev

“…In addition to performing the target task, ancillary tasks such as maintaining the battery level, communication with other team members in a multi-agent system, should be considered in the control algorithm of the robot, which allows to study the distribution of priorities between these objectives, as shown in the example of multicriteria optimization. The prototype of the kit and its usage according to the described approach have been partially validated by conducting computational experiments with algorithms based on different search methods (random search, closest source and multi-criteria optimization methods), multi-agent paradigm and adaptive control which show a variety of possible approaches and illustrate the process of students' work. …”
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Stochastic Demand-Side Management for Residential Off-Grid PV Systems Considering Battery, Fuel Cell, and PEM Electrolyzer Degradation by Mohamed A. Hendy, Mohamed A. Nayel, Mohamed Abdelrahem

“…The uncertainty in demand forecasting is addressed through a scenario-based generation to enhance the robustness and accuracy of the proposed method. Then, stochastic optimization was employed to determine the optimal operating schedules for deferable appliances and optimal water heater (WH) settings. …”
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Current Approaches to the Treatment of Traumatic Shock (Review) by D. A. Ostapchenko, A. I. Gutnikov, L. A. Davydova

“…Respiratory support, stabilization of cardiac and circulatory parameters and optimization of oxygen status are the most important components of treatment of patients with traumatic shock. …”
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Construction of “Biomigration – Regional Cooling” Multi-functional Ecological Network in Wuhan Urban Agglomeration by Jiajie LI, Yuanyuan GU, Zhong XING

“…This network is used to identify key areas for ecological restoration and protection, with a view to offering a reference for landscape conservation.MethodsIn this research, the construction and optimization of the multifunctional network are divided into four steps. 1) Identification of two types of source patches. …”
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Economic sizing and placement of hydrogen fueling and electric vehicles charging stations powered by renewable and battery systems in smart distribution network by Mehdi Veisi

“…Its goal is to minimize the sum of annual energy losses and operation costs within the grid, governed by linearized optimal power flow model. To account for uncertainties in demand, energy prices, renewable generation output, and refueling station performance, a stochastic optimization framework is employed. …”
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Integrated Energy Management in Small-Scale Smart Grids Considering the Emergency Load Conditions: A Combined Battery Energy Storage, Solar PV, and Power-to-Hydrogen System by Hossein Jokar, Taher Niknam, Moslem Dehghani, Pierluigi Siano, Khmaies Ouahada, Mokhtar Aly

“…Compared to conventional evolutionary methods like particle swarm optimization, non-dominated sorting genetic algorithm III, and biogeography-based optimization, the proposed model exhibits remarkable improvements, outperforming them by 11.4%, 5.6%, and 11.6%, respectively. …”
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Management of Financing in Community Learning Activity Centers by Nurfitriani Nurfitriani, Eka Yudhyani, Catur Kumala Dewi, Rina Masithoh Haryadi, Sunarto Sunarto

“…By diversifying funding sources and optimizing the use of funds, PKBM can reduce dependence on one source of funding, thereby increasing operational stability and financial sustainability. …”
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Metasurface-Based Solar Absorption Prediction System Using Artificial Intelligence by Md. Mottahir Alam, Ahteshamul Haque, Asif Irshad Khan, Samir Kasim, Amjad Ali Pasha, Aasim Zafar, Kashif Irshad, Anis Ahmad Chaudhary, Md. Samsuzzaman, Rezaul Azim

“…Solar energy is a significant, environment-friendly source of renewable energy. The solar absorber transforms solar radiation into heat energy as an effective green energy source. …”
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Available Transfer Capability Assessment of Multiarea Power Systems with Conditional Generative Adversarial Network by Xiangfei Meng, Lina Zhang, Xin Tian, Hongqing Chu, Yao Wang, Qingxin Shi

“…Traditional works usually model the power source-load uncertainty by using robust optimization, interval optimization, or chance-constraint optimization, which cannot fully reflect the probabilistic distribution of the daily source-load uncertainty. …”
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Nonlinearly coded signals for harmonic imaging by Andrzej NOWICKI, Janusz WÓJCIK, Tamara KUJAWSKA

“…The concept of the virtual fields was introduced to explain properties of both the Pulse Inversion and MNC methods and to compare their abilities. It was shown that for the same on-source pressure an application of the MNC method allows to decrease the mechanical index about 40%, to improve lateral resolution from 10 to 30% and to gain the signal-to-noise ratio up to 8 times with respect to the PI method. …”
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Automated Bell inequality violation searches for estimating entanglement quality in fiber by Evan Dowling, Gerald Baumgartner, Richard Brewster, Mark Morris, Anne Marie Richards, Rajarshi Roy, Thomas E. Murphy

“…The iterative methods used within our experiment are the Nelder–Mead optimization method, stochastic gradient descent, and Bayesian optimization. …”
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Status and opportunities of machine learning applications in obstructive sleep apnea: A narrative review by Matheus Lima Diniz Araujo, Trevor Winger, Samer Ghosn, Carl Saab, Jaideep Srivastava, Louis Kazaglis, Piyush Mathur, Reena Mehra

“…Machine learning models have been increasingly applied in various aspects of OSA research, including diagnosis, treatment optimization, and developing biomarkers for endotypes and disease mechanisms. …”
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