Sustainability and energy self-sufficiency; overcoming the barriers by Rania Abdel Galil

“…If sustainable development is to be realized, if there is to be a universal access to modern energy services and energy self-sufficiency, the share of renewable energy sources and the global rate of improvement in energy efficiency need to intensify, in addition to a strong shift of attitudes and policy towards cleaner choices of energy.…”
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Nature's nanofactories: biogenic synthesis of metal nanoparticles for sustainable technologies by Syed Tawab Shah, Ira Puspita Sari, Dede Heri Yuli Yanto, Zaira Zaman Chowdhury, Muhammad Nasir Bashir, Irfan Anjum Badruddin, Mohamed Hussien, Joon Sang Lee

“…Green synthesis methods are highly acclaimed for their sustainability, cost-efficiency, and biocompatibility, biotechnology, environmental science, and healthcare are all fields that could benefit from their use. …”
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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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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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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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varVAMP: degenerate primer design for tiled full genome sequencing and qPCR by Jonas Fuchs, Johanna Kleine, Mathias Schemmerer, Julian Kreibich, Wolfgang Maier, Namuun Battur, Thomas Krannich, Somayyeh Sedaghatjoo, Lena Jaki, Anastasija Maks, Christina Boehm, Carina Wilhelm, Jessica Schulze, Christin Mache, Elischa Berger, Jessica Panajotov, Lisa Arnold, Björn Grüning, Markus Bauswein, Sindy Böttcher, Reimar Johne, Jürgen Wenzel, Martin Hölzer, Marcus Panning

“…Importantly, we also designed primers on the same input data using the software packages PrimalScheme and Olivar and showed that varVAMP minimizes primer mismatches most efficiently. Finally, we established highly sensitive and specific Poliovirus qPCR assays that could potentially simplify current Poliovirus surveillance. varVAMP is open-source and available through PyPI, UseGalaxy, Bioconda, and https://github.com/jonas-fuchs/varVAMP .…”
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BASIL DB: bioactive semantic integration and linking database by David Jackson, Paul Groth, Hazar Harmouch

“…Users are able to explore the relationships between bioactives and health effects, enhancing both research efficiency and insight discovery. Conclusion The BASIL DB is a knowledge graph database of bioactive compounds. …”
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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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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 enhanced the precision and efficiency of NER systems for Arabic text. The NGOAI-ANER technique begins by applying word embedding methods to convert text into dense vector representations, effectively capturing the semantic information essential for NER tasks. …”
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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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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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Exploring emerging water treatment technologies for the removal of microbial pathogens by Oluwatobi Victoria Obayomi, Damilare Cornelius Olawoyin, Olumide Oguntimehin, Lukman Shehu Mustapha, Samuel Oluwaseun Kolade, Peter Olusakin Oladoye, Seungdae Oh, Kehinde Shola Obayomi

“…To address this challenge, a variety of methods for removing microbial pathogens from water sources have been developed and implemented. This review provides a thorough exploration of diverse methods utilized for pathogen removal in water treatment, encompassing physical, chemical, and biological approaches. …”
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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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Large Language Models (LLMs) as Traffic Control Systems at Urban Intersections: A New Paradigm by Sari Masri, Huthaifa I. Ashqar, Mohammed Elhenawy

“…This study demonstrates LLMs’ transformative potential for traffic control, enhancing efficiency and safety at intersections.…”
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Improving resilience of energy nexus across demand sectors: Strengthening cybersecurity in water cycle and energy networks through data reconstruction using a novel hybrid reinforc... by Daryoush Tavangar Rizi, Mohammad Hassan Nazari, Seyed Hossein Hosseinian

“…However, as critical nodes in the demand chain, they face increasing risks from sophisticated cyber threats that can compromise resource efficiency, stability, and environmental sustainability. …”
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Performance Evaluation of a Radial Distribution Network Under Emerging Load Prediction Modeling Approach and DG Integration Using a Particle Swarm Optimization Algorithm by Demsew Mitiku Teferra

“…The study further examines the network’s operational efficiency in terms of power loss, voltage stability index (VSI), average voltage deviation index (AVDI), loss of load probability (LOLP), energy not supplied (ENS), and average energy not supplied (AENS). …”
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Sensitivity analysis and optimization of heat transfer in the time-reliant magnetohydrodynamic bioconvective flow of radiative couple-stress hybrid nanofluid through a squeezing ch... by Seetalsmita Samal, Surender Ontela

“…Examining the system's efficiency by evaluating the entropy produced in the flow process is another noteworthy part of this research. …”
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Emergy perspective on the environmental and economic viability of a biomass-driven polygeneration system by Parviz Heydari Nasab, Ata Chitsaz, Hiva Rashidzadeh, Alireza Rostamzadeh Khosroshahi

“…This study demonstrates the potential of biomass-based systems for sustainable emergy solutions while highlighting the trade-offs between efficiency and environmental impact.…”
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