A systematic review on environmentally friendly hydrogen production methods: comparative analysis of reactor technologies for optimal efficiency and sustainability by Aisha Hamid, Raja Razuan Raja Deris, Siti Nur Amira Shaffee, Taufiq Yap Yun Hin, Divine Senanu Ametefe, Mohd Lokman Ibrahim

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²¹⁰Po and ²¹⁰Pb content in the certain types of foodstuffs. Optimization of the analytical method by M. V. Kaduka, L. N. Basalaeva, T. A. Bekyasheva, S. A. Ivanov, N. V. Salazkina, V. V. Stupina, A. N. Kaduka

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Microbial synthesis and extraction of value-added metabolites by Rhodotorula toruloides from waste stream: a sustainable approach by L. A. Swagatika Priyadarshini, Rashmi Kataria

“…R. toruloides can utilize diverse carbon sources, including waste-derived and sustainable substrates. …”
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An integrated graph-spatial method for high-performance geospatial-temporal semantic query by Zichen Yue, Wei Zhu, Xin Mei, Shaobo Zhong

“…To address this issue, we propose GraST, a geospatial-temporal semantic query optimization method that integrates property graphs and relational databases. …”
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Green extraction method and microencapsulation of tannins from young coconut husks-based food waste using gelatin/nanofiber cellulose by Luh Putu Wrasiati, Ardhinata Antares, Anak Agung Made Dewi Anggreni, Bambang Admadi Harsojuwono, Ida Bagus Wayan Gunam, Vilas Nitivattananon, I Wayan Arnata

“…This study aims to extract tannins from young coconut husks using an eco-friendly method, optimizing temperature and the gelatin/cellulose nanofiber (NFC) ratio as encapsulants to achieve optimal microcapsule characteristics. …”
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Statistical optimization and random mutagenesis for improved riboflavin production from Lactiplantibacillus pentosus SV13 isolated from dosa batter by R. Srivatsan, M. Hemalatha, Sanjeev K. Ganesh, V. Mohanasrinivasan, C. Subathra Devi

“…The developed strain could be a starter culture in the food and pharmaceutical industries. Methods Six bacterial strains were isolated from food sources and screened for riboflavin production in riboflavin assay medium (RAM). …”
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Internal sound field reconstruction method based on optimal arrangement of sound monitoring points near the cabin inner surface by Shengguo Shi, Qiang Guo, Huihui He, Xinyu Wang

“…Besides, the optimum performance of different optimization algorithms is compared. The results show that the proposed method is more accurate than the traditional equivalent source method when the number of monitoring points is the same, and the QPSO algorithm shows the best monitoring point location optimization performance. …”
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Conflict evidence combination rule based on multi-dimensional weighted evidence optimization method and its applications in pattern recognition by Fuhai Xi, Mengli Mei, Shi Yang, Hang Guo, Min Yu

“…Subsequently, the multi-dimensional weighted evidence optimization method is employed to calculate the relative importance of each piece of evidence. …”
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ACO-NM hybrid optimization calculation method for transit time of oxygen activation logging in CO2 injection profile by WANG Zhengyan, CHEN Meng, YANG Guofeng, LIU Guoquan, PEI Yang, CHEN Qiang

“…To validate the algorithm’s accuracy, comparative analysis was conducted between the ACO-NM hybrid optimization and the traditional least squares method. …”
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Design of two-dimensional reflective imaging systems: an approach based on inverse methods by Sanjana Verma, Martijn J. H. Anthonissen, Jan H. M. ten Thije Boonkkamp, Wilbert L. IJzerman

“…We iteratively design reflectors using inverse methods from non-imaging optics and optimize them to obtain a system that produces minimal aberrations. …”
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Analysis of the Impact of Renewable Energy Sources and Energy Storage Systems on Multi-Stage Transmission Network Expansion Planning by Mario D. Pastrana, Juan Carlos Cortez, Juan Camilo Lopez, Marina Lavorato, Marcos J. Rider

“…An extensive analysis of the impact of RES and ESSs on MTNEP is presented. Simultaneous optimization of TLs and ESSs provides better and cheaper MTNEPs compared to traditional methods. …”
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Coordinated Design of Power System Stabilizer and Virtual Inertia Control Using Modified Harris Hawk Optimization for Improving Power System Stability by Mohamad Almas Prakasa, Imam Robandi, Alberto Borghetti, Muhammad Ruswandi Djalal, Waseda Himawari

“…To address this problem, this paper proposes the coordinated design of Power System Stabilizer and Virtual Inertia Control (PSS-VIC) to improve the stability of the power system integrated with RES. The proposed method uses the modified version of Harris Hawk Optimization with Memory Saving Strategy (HHO-MSS) to find the equilibrium point of global parameters of PSS-VIC through various simulations to ensure scalability. …”
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Optimized frequency stabilization in hybrid renewable power grids with integrated energy storage systems using a modified fuzzy-TID controller by Mohamed Khamies, Ahmed H. A. Elkasem, Salah Kamel, Mohamed Hashem

“…Abstract This article presents several innovative methods to mitigate frequency deviations in hybrid renewable power grids (HRPGs) with high penetration of renewable energy sources (RESs). …”
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Data-driven robust optimization for energy and reserve scheduling considering multi-uncertainty by Zuqing Zheng, Guo Chen, Zixiang Shen, Zhaoyang Dong

“…The intermittency of renewable energy sources and unscheduled outages threaten power system security, increasing the need for operational flexibility. …”
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Optimal Design of Integrating Two‐Level Artificial Intelligent With Three Degrees of Freedom‐PDF (TLNF‐3DOFPDF) Controller for AGC of Three‐Area Multi‐Sources Power System... by Getaneh Mesfin Meseret, Rajesh Kumhar, Tarkesh Kumar Mahato, Nishant Kumar, Poonam Lakra, M. D. Mofeed Alam

“…Controller parameters are fine‐tuned using a novel metaheuristic method called the Skill Optimization Algorithm (SOA). …”
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Sourcing efficacy – The role of supportive intelligence by Aleksandar Erceg, Santhosh Joseph

“…Companies must prioritize planning, education and organizational alignment for further development and optimization of these tools. With this, it is possible to fully realize the possibilities that integrating AI and ML into FBN can bring to the transformation of sourcing processes and the company’s competitiveness.…”
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Methodological aspects of optimization of energy consump-tion costs of low-rise buildings with a built-in air heat pump by E. I. Krupnov, I. A. Zaitseva, S. A. Loginova, I. S. Zaitsev

“…The article presents a methodology for calculating the consumed electrical energy and heat generation, as well as the seasonal indicator of energy efficiency in the operation of an air source heat pump.Method. The technique takes into account, as input data, experimental data from tests of high-voltage heat pumps in terms of heat output depending on the change in the temperature of the source of low-grade heat and the temperature regime of the coolant.Result. …”
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Distributed robust scheduling of distribution-microgrid based on deep learning method integration by WANG Yihong, LIU Jichun, QIU Gao, ZHOU Hao, HE Peixin

“…Aiming at the problems such as the uncertainty of distributed power output and the low efficiency of operation in the coupled system scheduling of distribution network and microgrid, an optimized scheduling model of Branch-bar operation with chance constraint based on the integration of deep learning method for distribution network and microgrid interconnection system is proposed. …”
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Assessing wetland ecological quality and protection effectiveness in the Qilihai Wetland using long-term multi-source remote sensing data by Cong Shen, Yaqin Fang, Shaoyi Wang, Zixiao Liu, Xiaobin Cai, Liqiao Tian

“…In this study, multi-source remote sensing data were used to evaluate the ecological quality and protection effectiveness in the Qilihai Wetland in China. …”
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An Interpretable Model for Salinity Inversion Assessment of the South Bank of the Yellow River Based on Optuna Hyperparameter Optimization and XGBoost by Xia Liu, Yu Hu, Xiang Li, Ruiqi Du, Youzhen Xiang, Fucang Zhang

“…The soil salinity was estimated with the multi-source remote sensing satellite data by combining the extreme gradient boosting model (XGBoost), Optuna hyper-parameter optimization, and Shapley addition (SHAP) interpretable model. …”
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