Constant High-Voltage Triboelectric Nanogenerator with Stable AC for Sustainable Energy Harvesting by Aso Ali Abdalmohammed Shateri, Salar K. Fatah, Fengling Zhuo, Nazifi Sani Shuaibu, Chuanrui Chen, Rui Wan, Xiaozhi Wang

“…The device retains 80% efficiency after 1.5 million cycles, demonstrating substantial durability under mechanical stress. …”
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Optimal Coordination of Directional Overcurrent Relays Using an Innovative Fractional-Order Derivative War Algorithm by Bakht Muhammad Khan, Abdul Wadood, Herie Park, Shahbaz Khan, Husan Ali

“…The incorporation of fractional-order derivatives (FODs) enhances the algorithm’s ability to navigate complex optimization landscapes, avoiding local minima and achieving globally optimal solutions more efficiently. …”
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Jumlah Total Bakteri dalam Saluran Pencernaan Ikan Gurami (Osphronemus Gouramy) Dengan Pemberian Beberapa Pakan Komersial Yang Berbeda <Br><I>[Total Of Bacteria In Digestive Organ... by Boedi Setya Rahardja, Gaby Stephani Rohy, Agustono Agustono

“…Abstract Gurami is a fish with a slow growth because of the efficiency of utilization of nutrients and energy contained in the feed is too slow, so it is not enough energy available for growth. …”
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Enhancing the accuracy and generalizability of reference evapotranspiration forecasting in California using deep global learning by Arman Ahmadi, Andre Daccache, Minxue He, Peyman Namadi, Alireza Ghaderi Bafti, Prabhjot Sandhu, Zhaojun Bai, Richard L. Snyder, Tariq Kadir

“…New hydrological insight for the region: Applying global learning methodologies to DL models markedly improved forecasting performance, showcasing an ability to generalize findings to ungauged regions and even newly established weather stations. …”
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Ultra-Low Ultraviolet Photon Detection of Diamondene Van der Waals Heterostructure by Interfacial Bonding by Jiapeng Zhen, Silin Guo, Ying Yue, Shuai Huang, Danping Zhang, Kai Shen, Kehong Lv, Qiushi Huang, Jing Qiu, Guanjun Liu

“…However, although the diamond-based material has a high mobility, its lack of free electrons seriously hinders its conductivity and detection ability. Therefore, improving the free electron level of diamond-based materials has become the primary goal for achieving high-performance applications. …”
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Preparation of New Biofilms Suitable for Manufacturing Processes for A sustainable Environment by Noor A. Oudah, Rahab A. Al-Madany, Zena A. Mahdi, Suhad A. Hussain, Farqad A. Albaidhani, Eussur N. Alkhafaji, Rasha Alali

“…Their chemical and morphological properties were studied using SEM and FTIR. Their ability to inhibit Staphylococcus aureus and Escherichia coli were evaluated, as well as their efficiency in food packaging and preservation. …”
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Spillover effects in transit networks: A parameterized weight matrix spatial lagged approach by Paraskevas Nikolaou, Loukas Dimitriou

“…The novelty and the importance of the proposed model rely on the ability to introduce transit network structure within the framework of spatial econometric regression, fostering the explanatory statistical analysis over networked information. …”
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Enhancing energy management in battery electric vehicles: A novel approach based on fuzzy Q-learning controller by Salma Ariche, Zakaria Boulghasoul, Abdelhafid El Ouardi, Abdelhadi Elbacha, Abdelouahed Tajer, Stéphane Espié

“…However, optimizing energy efficiency and vehicle performance in BEVs remains a significant challenge due to the dynamic nature of driving conditions. …”
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Mannosamine-Engineered Nanoparticles for Precision Rifapentine Delivery to Macrophages: Advancing Targeted Therapy Against Mycobacterium Tuberculosis by Luan H, Peng C, Yasin P, Shang Q, Xiang W, Song X

“…The physicochemical properties, toxicity, in vitro drug release profiles, stability, cellular uptake, and anti-TB efficacy of the NPs were systematically evaluated.Results: The RPT-MAN-PLGA-PEG NPs had a mean particle size of 108.2 ± 7.2 nm, with encapsulation efficiency and drug loading rates of 81.2 ± 6.3% and 13.7 ± 0.7%, respectively. …”
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Self-supervised model-informed deep learning for low-SNR SS-OCT domain transformation by Sajed Rakhshani, Amirali Arbab, Aref Habibi, Mohsen Pourazizi, Mahnoosh Tajmirriahi, Farnaz Sedighin, Hossein Rabbani

“…A key advantage of SDNet is its ability to balance contrast-texture by adjusting the weights of the two training steps, offering clinicians flexibility for specific diagnostic needs. …”
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A novel reinforcement learning framework-based path planning algorithm for unmanned surface vehicle by Jianhui Mou, Bo Shi, Bo Wang, Chengcheng Yu, Yangwei Wang, Fusheng Zhong, Li Zheng, Jian Wang, Junjie Li

“…Simulation results demonstrate that the APF-RADQN improves the interface ability and path quality, significantly enhancing the USV navigation safety and ocean observation mission operation efficiency.…”
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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

“…The results showed efficiencies as high as 31.4% at 1600 RPM, with a 17:1 compression ratio, equivalence ratio (φ) of 0.75, and a boost pressure of 165 kPa with low NOx emissions. …”
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An Optimized Dual-View Snake Unet Model for Tunnel Lining Crack Detection by Baoxian Li, Hao Xu, Xin Jin, Huaizhi Zhang, Shuo Jin, Qianyu Chen, Fengyuan Wu

“…Deep learning-based approaches have significantly advanced automated crack detection, delivering improved efficiency and precision in tunnel inspection. Nevertheless, the intricate characteristics of cracks, manifesting as fine, elongated, and irregular structures, pose substantial challenges for deep learning-based semantic segmentation networks, hindering their ability to achieve comprehensive and accurate identification. …”
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Production, characterization and evaluation of biochar from pod (Pisum sativum), leaf (Brassica oleracea) and peel (Citrus sinensis) wastes by G. Stella Mary, P. Sugumaran, S. Niveditha, B. Ramalakshmi, P. Ravichandran, S. Seshadri

“…These biochar can be used as an effective medium for increasing soil carbon, irrigation efficiency and efficient disposal of agricultural waste-biomass.…”
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Dynamics of Oleo-Pneumatic Landing Gear Systems for Carrier-Based Unmanned Aerial Vehicles by Ali Dinc, Faruk Yildiz, Junkun Ma, Reg Pecen, Suleiman Obeidat, Ali Mamedov, Murat Otkur

“…Key findings include the ability of the shock absorber to handle high sink rates typical of carrier-based operations, with calculated vertical accelerations and force values indicating robust performance. …”
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Enhancing the corrosion resistance of waterborne inorganic zinc-rich coatings by parallel aligning magnetized reduced graphene oxide by Xuefei Fang, Yuchun Yuan, Zilong Wang, Mengyuan Yang, Yuna Wu, Huan Liu, Jinghua Jiang, Aibin Ma, Qiuyue Wang

“…This weakens the ability of GO to prevent the invasion of corrosive media into substrates. …”
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Deep Learning-Based In Situ Micrograph Synthesis and Augmentation for Crystallization Process Image Analysis by Muyang Li, Tuo Yao, Jian Liu, Ziyi Liu, Zhenguo Gao, Junbo Gong

“…Additionally, based on the analysis of Kullback–Leibler divergence, the proposed method demonstrated excellent performance in extracting in situ information regarding aspect ratios and crystal size distributions during the crystallization process. Moreover, its ability to leverage expert labels with a four-fold enhanced efficiency holds great potential for advancing various applications in crystallization processes.…”
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Design and Analysis of Plasma-Based Reconfigurable Maxwell Fish-Eye-Lens Antennas by Jafar Bazrafshan, Fatemeh Sadeghikia, Mohamed Himdi, Ali Karami Horestani, Hajar Binti Ja'afar

“…Specifically, the enhanced signal quality and dynamic beam-forming capabilities make it ideal for satellite communication, deep space missions, and interplanetary networks. The ability to dynamically adjust the radiation pattern and beam direction provides significant advantages in improving communication efficiency and reliability in challenging space environments.…”
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Artificial intelligence large model for logging curve reconstruction by Zhangxing CHEN, Yongan ZHANG, Jian LI, Gang HUI, Youzhuang SUN, Yizheng LI, Yuntian CHEN, Dongxiao ZHANG

“…By fine-tuning the pre-trained large language model, the Gaia significantly improved its ability in extracting sequential patterns and spatial features from well-log curves. …”
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Intelligent energy management of microgrids using machine learning: Leveraging random forest models for solar and wind power by Hasanur Zaman Anonto, Md Ismail Hossain, Abu Shufian, Md. Shaoran Sayem, S M Tanvir Hassan Shovon, Protik Parvez Sheikh, Sadman Shahriar Alam

“…Simulation findings suggest that a straightforward rule-based storage-dispatch plan, with the embrace of accurate forecaster, reduces peak grid imports by 18 % and the imported energy per day by 11 %, thus, passes significant cost optimization. Efficiency of microgrids is further promoted by the inclusion of demand-response mechanisms and predictive storage optimization. …”
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