Intelligent Energy Management across Smart Grids Deploying 6G IoT, AI, and Blockchain in Sustainable Smart Cities by Mithul Raaj A T, Balaji B, Sai Arun Pravin R R, Rani Chinnappa Naidu, Rajesh Kumar M, Prakash Ramachandran, Sujatha Rajkumar, Vaegae Naveen Kumar, Geetika Aggarwal, Arooj Mubashara Siddiqui

“…In response to the growing need for enhanced energy management in smart grids in sustainable smart cities, this study addresses the critical need for grid stability and efficient integration of renewable energy sources, utilizing advanced technologies like 6G IoT, AI, and blockchain. …”
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Basic Study on Operation Control Systems of Internal Combustion Engines in Hybrid Small Race Cars to Improve Dynamic Performance by Hayato Yamada, Masamune Kobayashi, Yusuke Ebashi, Shinobu Kasamatsu, Ikkei Kobayashi, Jumpei Kuroda, Daigo Uchino, Kazuki Ogawa, Keigo Ikeda, Taro Kato, Xiaojun Liu, Ayato Endo, Mohamad Heerwan Bin Peeie, Takayoshi Narita, Hideaki Kato

“…Hybrid vehicles utilize multiple power sources, making them energy-efficient and enhancing both fuel efficiency and dynamic performance. …”
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Multi-model MCDM framework for sustainable renewable energy selection in India: integrating CRITIC-EDAS-CODAS-CoCoSo by Shankha Shubhra Goswami, T. Tapankumar, N. Channa Keshava Naik, J. Gowrishankar, Nilesh Bhosle, Amrita Singh, G. Sanyasi Raju, D. Nagesh, A. Johnson Santhosh

“…Within the MCDM system, a case study was analyzed using five unique RE sources, namely geothermal, solar, wind, hydro, and biomass. …”
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AI-based carbon peak prediction and energy transition optimization for thermal power industry in energy-intensive regions of China by Chenhao Huang, Zhongyang Lin, Jian Wu, Penghan Li, Chaofeng Zhang, Yanzhao Liu, Weirong Chen, Xin Xu, Jinsong Deng

“…The results showed that, compared to the baseline, the carbon peak under the Economic Development Scenario will be delayed by three years, with an additional 92.74 Mt CO2; while under the Environmental Protection and Energy Transition Scenarios, the peak will be advanced by five and three years, with 106.48 and 73.86 Mt CO2 reductions, respectively. Leveraging multi-source data-driven AI models, this study efficiently provided reliable quantitative support for measuring policies with various priorities, emphasizing the necessity of implementing balanced energy transition strategies. …”
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Operational Conditions for an Internal Combustion Engine in a SOFC-ICE Hybrid Power Generation System by Victor A. Reyes-Flores, Zachary Swartwout, Shane Garland, Daniel B. Olsen, Bret Windom, Robert Braun, Todd Bandhauer

“…Hybrid power generation systems utilizing pressurized Solid Oxide Fuel Cells (SOFCs) have gained considerable attention recently as an effective solution to the increasing demand for cleaner electricity sources. …”
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Design analysis and techno-economic assessment of a photovoltaic-fed electric vehicle charging station at Dhaka-Mawa expressway in Bangladesh by Rahat Redwan, Mahmudul Hasan, Awatif Nadia, Md. Sabid Khan, Nishat Anjum Chowdhury, Nahid-Ur-Rahman Chowdhury

“…This study primarily focuses on the techno-economic design of a 300 kWp solar photovoltaic-powered electric vehicle charging station along the Dhaka-Mawa Expressway in Bangladesh, capable of charging 20 electric vehicles simultaneously. The design utilizes the commercially available software package PVsyst 7.2 to ensure the feasibility and efficiency of the charging infrastructure. …”
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Bee Bread Drying Process Intensification in Combs Using Solar Energy by Daulet Toibazar, Baydaulet Urmashev, Aliya Tursynzhanova, Vladimir Nekrashevich, Indira Daurenova, Adilkhan Niyazbayev, Kanat Khazimov, Francesco Pegna, Marat Khazimov

“…This study presents the development and evaluation of a stand-alone solar dryer designed to improve the efficiency of bee bread dehydration. Unlike the electric prototype powered by conventional energy sources, the proposed system operates autonomously, utilizing solar energy as the primary drying agent. …”
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Multifunctional Conductive Nanofibers for Self‐Powered Glucose Biosensors by Seda Gungordu Er, Rameesh Bulathsinghala, Selvinaz Burcu Kizilates, Bing Li, Rucchi Ryan, Tanveer A. Tabish, Ishara Dharmasena, Mohan Edirisinghe

“…Traditional biosensors face several limitations including limited sensitivity, enzyme instability, and dependency on external power sources. Addressing these issues, the study develops a novel multifunctional nanofiber integrating biosensor for glucose detection and a self‐powered motion sensor, utilizing an innovative triboelectric nanogenerator (TENG) system. …”
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Theoretical and experimental research on a single-stage Boost-LLC converter and its sliding mode control applied to electric ships by Hongxing Chen, Min She, Lufeng Wan, Feng Zhang, Wei HE, Shengbin Zhuang, Antonios Antoniou, Zhiyuan Wang

“…With increasing shortage of traditional energy sources, ship power systems are being upgraded to utilize new energy sources, rendering distributed power-generation systems essential. …”
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BASIL DB: bioactive semantic integration and linking database by David Jackson, Paul Groth, Hazar Harmouch

“…Data on bioactives and foods are sourced from structured databases. The relevant randomized controlled trials (RCTs) were extracted from PubMed. …”
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Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment by C. Labesh Kumar, Suresh Betam, Denis Pustokhin, E. Laxmi Lydia, Kanchan Bala, Rajanikanth Aluvalu, Bhawani Sankar Panigrahi

“…To ensure optimal performance of the CNN-BiGRU-AM model, hyperparameter tuning is performed by utilizing the seagull optimization algorithm (SOA) model to enhance the efficiency and robustness of the detection system. …”
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Adamic–Adar similarity indexed Wald boost data classification for diabetic disease diagnosis with big data by Ravichandran M, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Hariharan Rajadurai, Benjula Anbu Malar M.B, Saurav Mallik, Hong Qin

“…Ensemble learning methods, utilized in science and technology, have introduced various classification and clustering techniques to achieve more accurate and time-efficient disease diagnosis. …”
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Development and multicentric external validation of a prognostic COVID-19 severity model based on thoracic CT by Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Hichem Sahli, Nikos Deligiannis, Emma Verelst, Bart Ilsen, Simon Van Eyndhoven, Lucie Seyler, Arne Witdouck, Gilles Darcis, Julien Guiot, Athanasios Giannakis, Jef Vandemeulebroucke

“…In times of high incidence, a prognostic model based on data efficiently retrieved from one source can enable fast decision support. …”
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ADVANCES IN THE DESIGN AND OPTIMIZATION OF SMART IRRIGATION SYSTEMS FOR SUSTAINABLE URBAN VERTICAL FARMING by Kuanysh Bakirov, Jamalbek Tussupov, Tamara Tultabayeva, Kadyrzhan Makangali, Gulzira Abdikerimova, Moldir Yessenova

“…A primary issue in these systems is the efficient management of critical resources, particularly water and energy, which are essential for maintaining high crop productivity and environmental sustainability. …”
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Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect by Wala Bin Subait, Nazir Ahmad, Muhammad Swaileh A. Alzaidi, Mohammed Alqahtani, Asma A. Alhashmi, Nojood O. Aljehane, Mohammed Alshahrani, Shoayee Dlaim Alotaibi

“…The NGOAI-ANER technique utilizes the northern goshawk optimization (NGO) model to fine-tune hyperparameters effectively to optimize the solution of the DL technique. …”
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Lithiophilic 3D-Si/SiOx host for dendrite free lithium metal battery via simple magnesiothermic reduction process by Asif Raza, Jae-Yeon Bang, Hyo-Yeong Kim, Jeong-Hee Choi, Hae-Young Choi, Sang-Min Lee

“…In the development of renewable energy sources, batteries are considered the best option for energy storage. …”
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Urbanization, growth, and carbon footprints: A GCC perspective on sustainable development by Ebrahim Abbas Abdullah Abbas Amer, Zhang Xiuwu, Ebrahim Mohammed Ali Meyad, Mohammed Muneer Alareqi, Sameer M.H. Bather, Amr Abdelwahed

“…Urbanization also contributes to higher emissions; however, the squared term of urbanization suggests that environmental efficiency improves at later stages of urbanization. …”
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Multiscale feature tuned trans-DeepLabV3+ based semantic segmentation of aerial images using improved red piranha optimization algorithm by P. Anilkumar, K. Lokesh, A. Naveen Kumar, D. John Pradeep, Y. V. Pavan Kumar, Rammohan Mallipeddi

“…However, these techniques consistently exhibit poor efficiency regarding speed and accuracy when dealing with aerial images. …”
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Venture philanthropy in rare disease therapy by JA Levine

“…The research explores (i) VP’s impact on financial sustainability, translational efficiency, and clinical advancement; (ii) the structural, operational, and strategic factors influencing VP-funded biotech outcomes; and (iii) the utility of the DACMAR (Disruption, Adoption, Collaboration, Management, Adaptability, and Resource Optimization) framework in optimizing VP investments. …”
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Machine learning enables legal risk assessment in internet healthcare using HIPAA data by Shixian Liu, Hailing Liu, Siyu Fan, Leming Song, Zeyu Wang

“…Firstly, the data are sourced from the HIPAA database, encompassing various data types, such as medical records, patient personal information, and treatment costs. …”
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