A Wide-Range TCSC Based ADN in Mountainous Areas Considering Hydropower-Photovoltaic-ESS Complementarity by Yao Guo, Shaorong Wang, Dezhi Chen

“…The optimal objective is to maximize the consumption of renewable energy sources (RESs) and minimize line losses by coordinating the charging/discharging of ESSs with the operation mode of the TCSC. …”
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Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem by Ruqaya Sha’ban

“…The research tackled artificial intelligent methods to solve one of the optimization problems by using artificial ant by applying ant colony optimization algorithm and also tabu search algorithm to find the solution of sliding tile 8-puzzel problem. …”
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Biogas production using zirconium and zinc-based nanocatalysts and evaluation using a predictive modeling approach by Abbas A. Abdullahi, Mustapha D. Garba, Tawfik A. Saleh

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Strategy of the effective structure of farmers funding by Denis Y. Samygin, Nikolay G. Baryshnikov

“…Therefore, a research objective is justification and development of strategic models of structure optimization of the budgetary support of peasant farms, taking into account efficiency of measures, which relevance is confirmed by scientific research of the leading scientists in this subject area.Materials and methods. …”
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A High-Entropy True Random Number Generator with Keccak Conditioning for FPGA by Valeria Piscopo, Alessandra Dolmeta, Mattia Mirigaldi, Maurizio Martina, Guido Masera

“…This work presents a highly parameterized, open-source implementation of a TRNG based on ring oscillators, complemented by an optimized Keccak conditioning unit. …”
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Unlocking the thermoelectric potential of nanocrystalline magnesium selenide thin films grown by single stage horizontal tube furnace (SSHTF) by Anas Al Tarabsheh, A. Rehman, K. Javaid, Lamia Ben Farhat, A. Ali, K. Mahmood, M. Yasir Ali, S. Ikram, Jolly Jacob

“…We have observed some promising values of the Seebeck coefficient (7.175 × 10−5 V/°C) and power factor (6.35 × 10−8 Wm−1oC−2) at optimized source-to substrate distance. These encouraging results will open the door for MgSe-based thermoelectric research and further explore its power generation potential in the future.…”
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The application of laccase-rich extract of spent mushroom substrates for removing lignin from jute fabric waste: a dual management approach by Jovana Vunduk, Saša Đurović, Mirjana Kostić, Marija Dimitrijević, Stevan Blagojević, Danka Radić, Zorica Svirčev

“…Further, these enzymes can be applied to the sustainable use of natural fibers like jute, which need lengthy and expensive chemical processing methods. The study explored the dual sustainable management of two waste materials, SMS and jute fabric. …”
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Visual indicator for the detection of methylmercury in blood: A critical biomarker for dietary exposure assessment by Yan Guo, Bing-chan Ma, Wen-qi Zhang, Bo-xin Li, Jia-ming Ou, Fen Liu, Chang-ye Hui

“…Methylmercury (MeHg), a significant dietary exposure biomarker, poses a substantial threat to public health, primarily due to the consumption of aquatic foods. Current detection methods are complex and unsuitable for on-site testing, necessitating the development of a simple and sensitive biosensor for rapid screening. …”
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Embodied Intelligence Empowering Customized Manufacturing: Architecture, Opportunities, and Challenges by Jinbiao Tan, Jianhua Shi, Ligang Wu, Baotong Chen, Hao Tang, Chunhua Zhang, Wujie Zhang, Shiyong Wang, Jiafu Wan

“…However, current AI systems in CM remain isolated and lack methods for environmental interaction with multi-source perception and feedback, hindering the development of autonomous, evolving intelligent systems. …”
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TMS: Ensemble Deep Learning Model for Accurate Classification of Monkeypox Lesions Based on Transformer Models with SVM by Elsaid Md. Abdelrahim, Hasan Hashim, El-Sayed Atlam, Radwa Ahmed Osman, Ibrahim Gad

“…The MSLD includes four distinct class labels: monkeypox, measles, chickenpox, and normal. Methods: This paper presents an ensemble model for classifying the monkeypox dataset, which includes transformer models and support vector machine (SVM). …”
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The evolution of sprinting performance: Technological and regulatory influences from 1976 to 2024 by Dariusz Tadeusz SKALSKI, Magdalena PROŃCZUK, Kinga ŁOSIŃSKA, Ewelina LULIŃSKA, Joanna MOTOWIDŁO, Petr STASTNY, Adam MASZCZYK, Grzegorz TRYBEK

“…Understanding these factors is essential for assessing how sprint times have evolved and what future trends might emerge. Materials and methods: Utilizing a comprehensive dataset from international athletics federations, this research applies time series analysis, regression modeling, and variance testing to assess trends, gender disparities, and performance variability. …”
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Finding the Root of the Pathos in the Planning System of Iran: 5-why Technique by Elham Vafaei, Gholamreza Geraeinejad

“…Also, suggestions have been made to policy makers and planners to design an optimal planning system.The results show that "Lack of common understanding of concepts by planners, policy makers and implementers", "The rule of centralized and non-participatory methods in planning", "Lack of mechanism for resolving conflicts of interest between program elites", "Stable in considering the situation and not paying attention to possible scenarios in the future", "Failure to prepare an action plan and link it to the approved plan", "Existence of sectoral-regional and local orientations in the approval of programs", "Relying on government resources and not paying attention to internal and external capacities and resources", "Lack of attention of the planning system to the system of reform and adjustment in policies, goals and executive plans after monitoring and evaluation" and "severe weakness of regulatory mechanisms" are the root damage of the planning system. …”
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Preliminary evaluation of biomass and lipid production potential of Nannochloropsis sp. under optimal conditions with different wastewater samples for Exopolymeric substances (EPS)... by Jayaramaiah Suresh, S S Dawn

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Short‐term electric power and energy balance optimization scheduling based on low‐carbon bilateral demand response mechanism from multiple perspectives by Juan Li, Yonggang Li, Huazhi Liu

“…This paper proposes a short‐term electric power and energy balance optimization scheduling method with low‐carbon bilateral demand response (LCBDR). …”
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Optimal Energy Distribution in a Smart Micro-Grid Containing a Combined Electricity with Heat System Based on Fuel Cell and Energy Storage by Yaser Toghani Holari, Mehran Sanjabi, Farhad Zishan, Mehrdad Ahmadi Kamarposhti

“…Abstract- Aim of the study: Today, electrical and thermal loads have become one of integral components of smart micro-grids, along with the combined sources of electricity and heat production. Methods: the optimal distribution of energy in these smart micro-grids is always one of the basic challenges of managers and operators of these micro-grids. …”
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Robust Pareto Transistor Sizing of GaN HEMTs for Millimeter-Wave Applications by Rafael Perez Martinez, Stephen Boyd, Srabanti Chowdhury

“…We utilize a derivative-free optimization method to effectively identify robust Pareto optimal device designs. …”
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Optimal tuning of PI based LF for three-phase SRF PLL synchronization system using pity beetle algorithm under grid abnormalities by P. Riyas, S. A. Lakshmanan

“…The proposed method is thoroughly assessed under challenging grid abnormalities such as harmonic distortion, amplitude fluctuations, phase jump and unbalanced phase differences. …”
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A reliable mixed-integer linear programming formulation for data-driven model predictive control in buildings by Peter Klanatsky, François Veynandt, Christian Heschl

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A Comprehensive Review on Uncertainty and Risk Modeling Techniques and Their Applications in Power Systems by Peyman Afzali, Seyed Amir Hosseini, Saeed Peyghami

“…The results show Monte Carlo simulation combined with the K-Means method is consistently a more accurate uncertainty model for wind speeds, closely aligning with real-case scenarios, compared to other methods such as Markov Chain Monte Carlo (MCMC), robust optimization (RO), and information-gap decision theory (IGDT).…”
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Optimized multi-unit coordinated scheduling based on improved IGDT: Low-carbon scheduling research for the electric-heat-oxygen integrated energy system by Zhe Yin, Zhifan Zhang, Ruijin Zhu, Yifan Zhang, Jiyuan Wang, Wenxing Tang

“…The model integrates carbon capture and storage with power-to-gas (CCS-P2G), concentrated solar power plant (CSPP), combined heat and power (CHP) unit, and ground-source heat pump (GSHP). By optimizing the coordinated operation of multiple energy sources, the model enhances their complementarity and interaction. …”
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