Quantifying Channel Mobility and Floodplain Reworking Timescales Across River Planform Morphologies by Evan Greenberg, Austin J. Chadwick, Gen K. Li, Vamsi Ganti

“…Abstract Source‐to‐sink transfer of sediment and organic carbon (OC) is regulated by river mobility. …”
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ATLAS: Machine learning-enhanced filament analysis for the In Vitro Motility Assay by Sebastian Duno-Miranda, David M. Warshaw, Shane R. Nelson

“…Utilizing both experimental data and a large array of simulated actomyosin motility movies, we demonstrate that ATLAS accurately and efficiently measures both the velocity and length of actin filaments across a broad range of experimental conditions.…”
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A CAE model-based secure deduplication method by Chunbo Wang, Guoying Zhang, Hui Qi, Bin Chen

“…Experiments conducted on the source code dataset indicate that the proposed approach yields superior deduplication efficiency, reduced model storage requirements, and a more uniform distribution.…”
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On the issue of emergency medical service transportation support: relevance and research directions by Igor M. Chelyshkov, Artem I. Zhukov, Ivan A. Asmanov

“…The proposed research and development directions, based on a differentiated approach to optimization depending on the type of care provided (emergency and urgent), application of queuing theory, optimized station placement, implementation of advanced routing and dispatching methods, and the utilization of artificial intelligence and neural networks, constitute a comprehensive action plan for improving the efficiency of ambulance service transportation support operations. …”
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Applications of electrospinning for fuel cell and electrolysis cell applications in hydrogen technologies by Antara Sarkar, Jerome Michael Bidu, Jagannath Panda, Young Je Kwon, Sohwi Bak, Kie Yong Cho, Segi Byun, Jun Young Cheong

“…Both the fuel cell and electrolysis cell capable of utilizing green hydrogen with the aid of electrospinning methods have attracted considerable attention for improving the hydrogen production or utilization efficiency and operational stability. …”
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Distributionally robust optimization-based scheduling for a hydrogen-coupled integrated energy system considering carbon trading and demand response by Zhichun Yang, Lin Cheng, Huaidong Min, Yang Lei, Yanfeng Yang

“…Addressing climate change and facilitating the large-scale integration of renewable energy sources (RESs) have driven the development of hydrogen-coupled integrated energy systems (HIES), which enhance energy sustainability through coordinated electricity, thermal, natural gas, and hydrogen utilization. …”
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Combining economic and energy system modelling for assessing long-term energy transition strategies by Sini Huhtinen, Juha Forsström, Esa Pursiheimo, Pihla Kössi, Miika Rämä

“…A crucial factor is adopting low-temperature distribution, known as 4th generation district heating (4GDH), which enhances efficiency and utilization of low-carbon heat sources.This paper presents a novel methodology combining 1) a DH company-level economic model implemented in General Algebraic Modeling System with 2) an energy system model based on Backbone modelling framework, for modelling energy transition in a DH system. …”
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An Improved Fast Prediction Method for Full-Space Bistatic Acoustic Scattering of Underwater Vehicles by Ruichong Gu, Zilong Peng, Yaqiang Xue, Cong Xu, Changxiong Chen

“…The scattering sound field is represented as the product of the acoustic scattering transfer function and the sound source density function. By utilizing target surface mesh information and partial scattered sound pressure data as known inputs, the method predicts other bistatic scattering sound fields through numerical integration, matrix theory, and the least squares method. …”
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Real-time fear emotion recognition in mice based on multimodal data fusion by Hao Wang, Zhanpeng Shi, Ruijie Hu, Xinyi Wang, Jian Chen, Haoyuan Che

“…Abstract A multimodal emotion recognition method that utilizes facial expressions, body postures, and movement trajectories to detect fear in mice is proposed in this study. …”
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Performance optimization of photovoltaic induction motor pumping system with Sliding mode control by Lehssen Mohamed Yahya Sidi, Ahmed Essadki, Hbib Mahfoudh, Cherkaoui Mohamed

“…The work proposes a sliding mode control strategy, a solution that significantly enhances the performance of a photovoltaic water pumping system. The configuration utilizes a solar PV source with boost converter implementing, a two-level inverter for AC conversion and an induction motor mechanically linked to a centrifugal pump. …”
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Artificial neural network based enhanced thermal energy storage system for renewable energy using nano-particles by Saima Zainab, Meraj Ali Khan, Sharmeen, Hassan Waqas

“…Combining Latent Heat Storage Systems (LHSS) with renewable (solar) energy sources has improved the sustainability and efficiency of energy systems worldwide. …”
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Asymmetric cyanoesterification of vinylarenes by electrochemical copper catalysis by Kehan Zhou, Niankai Fu

“…Abstract The heterodifunctionalization of alkenes is an efficient and straightforward method for the preparation of highly functionalized molecules. …”
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Advanced Zero-Shot Learning (AZSL) Framework for Secure Model Generalization in Federated Learning by Muhammad Asif, Surayya Naz, Faheem Ali, Amerah Alabrah, Abdu Salam, Farhan Amin, Faizan Ullah

“…The proposed framework is based on the ZSL concept and creates synthetic data sources efficiently. The proposed AZSL utilizes the Wasserstein Generative Adversarial Network with Gradient Penalty (WGAN-GP) for generating synthetic data and an EfficientNet-B7 as the global model. …”
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Collaborative Advertisement Recommendation System Leveraging User Preferences, Geography, and Demographics by Djalila Boughareb, Hazem Bensalah, Zineddine Kouahla

“…The increasing demand for personalized advertising based on user preferences is driving a surge in popularity. Social networks utilize millions of user’ data to suggest ads based on specific criteria. …”
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Prototype Steam Turbine for Solar Power Production by Kawira Millien

“…The turbine’s average efficiency was obtained as 61.6% and average isentropic efficiency was 55.3%. …”
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A review of deep learning-based few sample fault diagnosis method for rotating machinery by Ke WU, Jun WU, Qiming SHU, Weiming SHEN, Wenbin SONG

“…Self-supervised learning can utilize unlabeled data but faces challenges such as complex task design and potential overfitting. …”
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Russian Tea Trade in Hankou during Second Half of 19th Century: Production of Brick Tea by I. R. Khamzin, R. T. Ganiev

“…These include issues related to the procurement of raw materials for further pressing at Russian factories, pricing strategies for this product, and the accompanying competition. The experience of utilizing hydraulic presses for more efficient tea production, as well as the dynamics and volumes of brick tea production, are examined. …”
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The antioxidant capacity of pumpkin seed oil and its impact on the stability of heated sunflower oil by Haylana Mostafa Al-Turky, Maysoon Alhafez, Basel Ibrahim

“…Pumpkin seeds are considered to be agricultural residues locally, which can be utilized as a source for extracting vegetable oil. …”
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The influence of the lead eyewear geometry on the doses to the eye lens by William Souza Santos, Lucio Pereira Neves, Ana Paula Perini, Carla de Jesus Santos, Walmir Belinato, Linda V. E. Caldas

“…The results pointed out that the shielding efficiency has a strong dependence on the eyewear type utilized, which may be very useful for the decision-making during the acquisition of such equipments.…”
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Investigation of Transfer Learning Method for Motor Fault Detection by Prashant Kumar, Saurabh Singh, Doug Young Song

“…Electric motors (EMs) are utilized in multiple industries for their efficiency, precise speed and torque control, and robustness. …”
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