Designing a model of the role of social media in crisis management and digital supply chain resilience by Farhad Jahangiri, Abolfazl Danaei, Mahsa Akbari, Younos Vakil Alroaia

“…This research employs a fundamental-applied approach and follows an exploratory mixed-methods design, integrating both qualitative and quantitative data. …”
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Transition Mechanism Design for Wind Power Participating in Energy Markets by WU Yang, LU Zhilin, ZHU Wenjing, LIU Shuangquan, LENG Yuan, ZHU Xinchun, LIU Mingbo

“…To enhance computational efficiency， the check-add method is applied to address the capacity constraints of the transmission lines when solving the bi-level programming model. …”
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Compression Index Regression of Fine-Grained Soils with Machine Learning Algorithms by Mintae Kim, Muharrem A. Senturk, Liang Li

“…This study involves leveraging the efficiency and effectiveness of these algorithms in geotechnical engineering applications, offering a promising alternative to traditional oedometer testing methods. …”
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Using Crawlers for Targeted Data Extraction from a Local Multi-File Database by Alexandru ANGHELESCU, Ciprian-Viorel STUPINEAN, Ariana-Anamaria CORDOȘ

“…Future work should explore compliance with data protection regulations, such as GDPR, and methods to ensure responsible data use. Conclusion: Besides the usefulness of crawlers in extracting email addresses, they prove their efficiency while dealing with the data gathering part of the research. …”
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Interior Point Algorithm in Multi-objective Portfolio Optimization: GlueVaR Approach by Elaheh Gohania, Gholamreza Mansourfar, Fahimeh Biglari

“…The inner point mathematical approach was utilized to optimize the model with the dual objectives of increasing efficiency and reducing risk. To demonstrate the effectiveness and capability of the algorithm in solving the problem of two-objective optimization, its output was compared with other risk measurement criteria such as variance, and value at risk (VaR). …”
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Two key algorithms for intelligent inspection robots in electric bicycle charging sheds by Yingjian An, Ge Wei

“…This paper proposes two enhanced algorithms to address these issues: (1) a multi-root node RRT* (MS-RRT*) for efficient narrow-channel path planning, and (2) an improved SOLOv2-based instance segmentation method for small-target recognition. …”
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Boosting Skin Cancer Classification: A Multi-Scale Attention and Ensemble Approach with Vision Transformers by Guang Yang, Suhuai Luo, Peter Greer

“…Additionally, we employ ensemble learning techniques to combine the outputs of several deep learning models using majority voting. …”
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Visualizing UNet Decisions: An Explainable AI Perspective for Brain MRI Segmentation by D. Jeya Mala, Mainak Chattopadhyay, Parthiba Mukhopadhyay, Roopak Sinha

“…A comprehensive analysis of the results highlights the clinical implications of these findings, addressing the relative utility of different XAI methods in visualizing UNet’s outputs using metrics like fidelity, unambiguity and stability. …”
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Hybrid MPPT control using hybrid pelican optimization algorithm with perturb and observe for PV connected grid by Burhan U. Din Abdullah, Suman Lata Dhar, Shiva Pujan Jaiswal, Muhammad Majid Gulzar, Muhammad Majid Gulzar, Mohammad Alqahtani, Muhammad Khalid, Muhammad Khalid

“…Operating current and voltage fluctuations, driven by temperature and radiation changes, significantly impact power output. Traditional Maximum Power Point Tracking (MPPT) methods struggle to adapt accurately to these dynamic environmental conditions. …”
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ClimKern v1.2: a new Python package and kernel repository for calculating radiative feedbacks by T. P. Janoski, T. P. Janoski, T. P. Janoski, T. P. Janoski, T. P. Janoski, I. Mitevski, R. J. Kramer, M. Previdi, L. M. Polvani, L. M. Polvani, L. M. Polvani

“…The radiative kernel method is commonly used to efficiently compute individual climate feedbacks from climate model or reanalysis output. …”
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A Multiobjective Interval Programming Model for Wind-Hydrothermal Power System Dispatching Using 2-Step Optimization Algorithm by Kun Ren, Qu Jihong

“…Thorough experimental results suggest that the proposed method performed reasonably well in terms of both operating efficiency and precision.…”
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A modified particle swarm optimization-based adaptive maximum power point tracking approach for proton exchange membrane fuel cells by Bhukya Laxman, Ramesh Gugulothu, Surender Reddy Salkuti

“…In comparison, the meta-heuristic particle swarm optimization (PSO) method and the conventional perturb and observe (P&O) method achieved maximum power outputs of 1218.5 W and 1213.65 W, respectively, with PSO requiring 12.33 iterations. …”
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Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling by Da Yu, Kai Hou, Xu Lin, Guoyang Cai, Xin Shan, Weihua Wang

“…A tri-objective optimization model is formulated to minimize operational costs, environmental pollution, and grid output fluctuation variance, with decision-making supported by the Entropy Weight TOPSIS method. …”
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Distributed cooperative control of consistency of hydraulic support robot group moving frame by Mingze SUN, Yongqiang WANG, Yajun CHANG, Desheng ZHU, Shiyan LI, Kehu YANG

“…Compared with the PID centralized control method commonly used in engineering, it has the advantages of high reliability, good consistency, strong active anti-interference ability and good expansibility, and can adjust the control strategy independently to adapt to various moving modes, thus improving the efficiency and safety of moving supports.…”
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Enhancing solar power harvesting with pinnacle multipoint optimization: a novel technique for maximum power point tracking by Youssef Mhanni, Youssef Lagmich

“…More precisely, when there is partial shadowing, the PMO approach demonstrates significant enhancements compared to the P&O method, which only achieves an average efficiency of 54.71%. …”
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Research on the Operation Strategy on Heating Mode of Hybrid Power-driven Heat Pump with Gas Engine and Motor by Shang Sheng, Shi Wenxing, Wang Baolong, Li Xianting

“…To improve the efficiency of space heating and cooling, the hybrid power-driven heat pump (HPHP) has been established. …”
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A review on the preparation and properties of energetic materials for micro pyrotechnic trains by Dongjie Liao, Wenzhong Lou, Hengzhen Feng, Wenxing Kan, Zhipeng Li, Yi Lu

“…Micro pyrotechnic train is an energetic microsystem that integrates MEMS control circuits, micro energetic devices, micro safety mechanisms, and micro output charges. It has been actively promoted and applied in space technology, healthcare, and ordnance due to its outstanding advantages of miniaturization, high efficiency, and intelligence. …”
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Examination and Analysis of Annual, Seasonal, and Monthly Variations in Atmospheric Carbon Dioxide Concentration Across the Middle East Region Utilizing SCIAMACHY, GOSAT, and OCO-2... by Seyed-Mohsen Mousavi, Naghmeh Mobarghaee Dinan, Saeed Ansarifard

“…Since the Industrial Revolution, the demandfor energy and the consumption of fossil fuels have escalated, leading to increased greenhouse gasemissions. While the input and output of atmospheric carbon dioxide have traditionally remainedin balance with nature, human activities and carbon dioxide emissions have disrupted thisequilibrium in recent decades, giving rise to climate change and global warming.Material and Methods: There are various methods for measuring atmospheric carbon dioxide.Remote sensing technology, in particular, has emerged as a solution, overcoming the limitationsof ground-based measurement methods by offering continuous monitoring and global coverageof greenhouse gases. …”
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Effective Tumor Annotation for Automated Diagnosis of Liver Cancer by Yi-Hsuan Chuang, Ja-Hwung Su, Tzu-Chieh Lin, Hue-Xin Cheng, Pin-Hao Shen, Jin-Ping Ou, Ding-Hong Han, Yi-Wen Liao, Yeong-Chyi Lee, Yu-Fan Cheng, Tzung-Pei Hong, Katherine Shu-Min Li, Yi Lu, Chih-Chi Wang

“…After annotation, the tumor information such as tumor location, tumor size and tumor characteristics can be output into a clinical report. To this end, this paper proposes an effective approach that includes tumor segmentation, tumor location, tumor measuring, and tumor recognition to achieve high-quality tumor annotation, thereby assisting radiologists in efficiently making accurate diagnosis reports. …”
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Normothermic ex vivo heart and lung autoperfusion: assessment of functional status and metabolism by A. R. Tarkova, I. S. Zykov, M. O. Zhulkov, A. V. Protopopov, Ya. M. Smirnov, A.  G. Makaev, A. V. Guseva, F. Yu. Kosimov, M. N. Murtazaliev, A. D. Limansky, D. A. Sirota, E.  E. Kliver, V. E.  Kliver, А. M. Volkov, A. M. Chernyavsky

“…After reperfusion and repeated isolation of the working cardiopulmonary complex, cardiac output was 0.63 [0.37; 0.8] L/min and 0.37 [0.23; 0.37] L/min in the experimental and control groups, respectively (p < 0.05). …”
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