A rapid review of adolescent engagement in massive open online courses (MOOCS) in health and education: Content, engagement strategies and evaluation methods by Putu Novi Arfirsta Dharmayani, Allyson R. Todd, Jennifer Dam, Josephine Y. Chau, Sara Wardak, Katrina E. Champion, Seema Mihrshahi, Stephanie R. Partridge

“…Facilitators of MOOC engagement included personal interest and a sense of achievement, whereas barriers included using technical language, lack of visual and graphic content, and lack of interaction. Evaluation methods predominantly used multiple sources, with self-reported surveys being the most common. …”
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Research on the Operation Optimisation of Integrated Energy System Based on Multiple Thermal Inertia by Huiqiang Zhi, Min Zhang, Xiao Chang, Rui Fan, Huipeng Li, Le Gao, Jinge Song

“…Addressing the problem that energy supply and load demand cannot be matched due to the difference in inertia effects among multiple energy sources, and taking into account the thermoelectric load, this paper designs a two-stage operation optimization model of IES considering multi-dimensional thermal inertia and constructs an intelligent adaptive solution method based on a time scale-model base. …”
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Soft-switching predictive Type-3 fuzzy control for microgrid energy management by Walid Ayadi, Jafar Tavoosi, Amirhossein Khosravi Sarvenoee, Ardashir Mohammadzadeh

“…The study’s findings demonstrate that, in addition to lowering energy expenses in large commercial buildings, the suggested strategy optimizes the use of renewable energy sources and storage capacity in a range of network scenarios. …”
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Two-Stage Stochastic Scheduling of Virtual Power Plant Based on Transactive Control by Meng Song, Xiaoyuan Xu, Ciwei Gao, Zheng Yan, Mohammad Shahidehpour

“…The proposed method is effectively validated by comparison with robust optimization and stochastic optimization. …”
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MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

“…This paper introduces an innovative method for disease prediction utilizing deep learning, particularly focusing on an ensemblebased multi-disease prediction model. …”
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Multi-View Robust Tensor-Based Subspace Clustering by Esraa M. Al-Sharoa, Mohammad A. Al-Wardat

“…Moreover, a common subspace is computed among all views where the contribution of each view to the common subspace is optimized. The proposed method is applied to several real-world data sets and the results show that the proposed method achieves the best performance compared to other state-of-the-art algorithms.…”
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Facility location problem for senior centers in an upcoming super-aging society by Eun Hak Lee, Jonghwa Jeong

“…The objective is to minimize travel distances for older adults while accounting for constraints such as mobility limitations and the existing distribution of senior centers. The elbow method is employed to identify the optimal number of new centers, balancing service accessibility and resource allocation. …”
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An Efficient Energy Management and Control Strategy for a Hybrid Microgrid System by Aymen Kadhim Mohaisen

“…This paper uses the linear programming optimization (LPO) method as an energy management system (EMS) to manage the energy and power sharing between the MG components, which are solar photovoltaic (PV), battery energy storage system (BESS), and load. …”
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THERMOELECTRIC DEVICE FOR TREATMENT PANARIATION by V. I. Dvorjanchikov, D. A. Magomedov, K. A. Magomedova, I. Sh. Mispahov

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Climate-resilient energy systems planning via system-informed identification of stressful events by Francesco De Marco, Jacob Mannhardt, Alfredo Oneto, Giovanni Sansavini

“…As the energy mix increasingly relies on weather-dependent renewable sources, energy systems become more vulnerable to climate variability and extremes. …”
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Quantifying key economic uncertainties in the cost of trading green hydrogen by Cameron Aldren, Nilay Shah, Adam Hawkes

“…To this end, this article presents a detailed process systems-based economic analysis of a typical hydrogen value chain in 2050, employing the method of elementary effects to quantify the effect of uncertainties. …”
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Techno‐Economic Comparison of Battery–Flywheel With Battery–Hydrogen Storage System in the Vicinity of Off‐Grid HRES for Four Climates: MCDM Method by Alireza Ahmadi, Ahmad Hajinezhad, Reza Fattahi, Seyed Farhan Moosavian

“…This study examines four climatic regions in Iran, evaluating the selection between two storage systems, battery‐hydrogen and battery–flywheel, through simulation and two‐stage optimization. HOMER PRO software was utilized for both simulation and optimization, while the method based on the removal effects of criteria (MEREC) was employed for criteria weighting in decision‐making, in conjunction with the technique for order of preference by similarity to ideal solution (TOPSIS) method. …”
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Impact of solid oxide FC-RFB and IPFC on a renewable multi-area power system using combined PI and FOPD controllers optimized by the African Vulture algorithm by Arindita Saha, Mahajan Sagar Bhaskar, Mahmoud F. Elmorshedy, Dhafer J. Almakhles, Sanjeevikumar Padmanaban

“…Traditional controllers, such as proportional-integral (PI), proportional-integral-derivative (PID), and other subordinate control methods, frequently fail to control frequency adequately, especially in multi-source generating systems. …”
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Iterative approach for photonic crystal devices design by Pavel V. Mokshin, Dimitriy L. Golovashkin, Vladimir S. Pavelyev

“…An approach to the design of photonic crystal (PhC) devices is proposed, which differs from the known general-purpose optimization methods (for example, a genetic algorithm or gradient procedures) by using information about diffraction patterns at different frequencies when optimizing an element designed to operate at the selected wavelength. …”
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Optimization of rice husk ash, Moringa oleifera powder, biochar, and okra seed powder for turbidity and color removal in the Turag and Buriganga Rivers using response surface metho... by Md. Habibur Rahman Bejoy Khan, Tahmeed Ahmed, Amimul Ahsan, Md. Rezaul Karim, Fuad Bin Nazrul, Chowdhury Sakif Ahbab, Md. Wali Ullah Riman, Md. Tajbiul Haque Auni, Md. Reduan Rahman

“…RSM regression models highlighted significant interaction effects between dosage and duration, emphasizing the importance of source-specific treatment strategies. These findings establish natural coagulants as cost-effective, sustainable alternatives to conventional treatment methods. …”
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Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India by Abhijeet Das

“…Study Region: Mahanadi River Basin, Odisha: Study Focus: Surface water is the primary source of water supply. So, complex decision-making procedures and management techniques are required to optimize between information needs and information obtained from water quality monitoring networks. …”
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Are treatment plans optimized on the basis of acuros XB dose calculation robust against anatomic changes during online adaptive radiotherapy for lung cancer regarding dose homogene... by Khouya Aymane, Santiago Alina, Ringbaek Toke, Guberina Nika, Guberina Maja, Gauler Thomas, Lübcke Wolfgang, Zylka Waldemar, Pöttgen Christoph, Stuschke Martin

“…Dose homogeneity of the scheduled plans, optimized on planning CT (CTplan), was verified on the initial CBCT of a dose fraction (CBCT1). …”
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Hybrid Technology of Water Purification Based on the Method of Dosing Sorption Material for Water Treatment Systems of Thermal Power Plants and Water Supply by Filimonova A.A., Vlasova A.Yu., Chichirov A.A., Kamalieva R.F.

“…Anthropogenic load significantly reduc-es the efficiency of purification according to the current technology, therefore, additional post-treatment methods must be used to obtain purified water of the required quality. …”
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Efficiency and Driving Factors of Agricultural Carbon Emissions: A Study in Chinese State Farms by Guanghe Han, Jiahui Xu, Xin Zhang, Xin Pan

“…This study calculates the carbon emissions of state farms across 29 Chinese provinces using the IPCC method from 2010 to 2022. It also evaluates emission efficiency with the Super-Slack-Based Measure (Super-SBM model) and analyzes influencing factors using the Logarithmic Mean Divisia Index (LMDI) method. …”
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On the machine learning algorithm combined evolutionary optimization to understand different tool designs’ wear mechanisms and other machinability metrics during dry turning of D2... by Muhammad Sana, Muhammad Umar Farooq, Sana Hassan, Anamta Khan

“…Lastly, an evolutionary optimization method is applied to democratize multi-objective process characteristics’ learnings to facilitate machinists and users within manufacturing community. …”
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