High-Performance Number Theoretic Transform on GPU Through radix2-CT and 4-Step Algorithms by Alisah Ozcan, Arsalan Javeed, Erkay Savas

“…To this end, our algorithms leverage novel strategy to optimize memory access patterns adaptive to input size, which often is very large. …”
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Intelligent Data Reduction for IoT: A Context-Driven Framework by Laercio Pioli, Douglas D. J. De Macedo, Daniel G. Costa, Mario A. R. Dantas

“…A new approach based on artificial intelligence is proposed in this article to process data at the edge of the network infrastructure, adopting a contextual relevance paradigm as an optimization criterion. For this purpose, an Artificial Intelligence (AI)-based mechanism is developed to predict analytical metrics for different sensor data configurations, notably reduction and distortion ratios, across a range of pre-selected data reduction algorithms. …”
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A Review of Oscillators in Hydrokinetic Energy Harnessing Through Vortex-Induced Vibrations by Deping Cao, Jie He, Hanqi Zeng, Yijia Zhu, Sean Zixuan Chan, Mark Ravinpal Williams, Ivan Zhi Liang Khor, Omkar Venkata Yalla, Mohammed R. Sunny, Ritwik Ghoshal, Anirban Bhattacharyya, Swapnadip De Chowdhury, Zaibin Lin, Cheng Siong Chin, Hao Chen

“…VIVs serve as a novel energy source, converting the kinetic energy of fluid flows into mechanical or electrical power. …”
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AI-augmented pathology: the experience of transfer learning and intra-domain data diversity in breast cancer metastasis detection by Manuel Cossio, Nina Wiedemann, Esther Sanfeliu Torres, Esther Barnadas Sole, Laura Igual

“…Our experiments demonstrated that integrating an external dataset (Camelyon16) during training significantly improved model performance, surpassing the benefits of data augmentation alone. The optimal model, trained on both external and local data, achieved an accuracy and F1-score of 0.98, outperforming existing state-of-the-art methods.ConclusionsThis study demonstrates that transfer learning architectures, when enhanced with multi-source data integration and interpretability frameworks, can significantly improve metastatic detection in whole slide imaging. …”
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Water erosion and its mitigation in sloped black soil farmlands in Northeastern China: A review by SHEN Haiou, REN Ming, WEN Leilei, LIANG Yushi, LIU Yang

“…Critical issues in implementing these technologies include a detailed understanding of their underlying mechanisms, effectiveness, optimal configurations, and selection for different regions. …”
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Viability Study of SYCL as a Unified Programming Model for Heterogeneous Systems Based on GPUs in Bioinformatics by Manuel Costanzo

“…The results obtained demonstrated performance comparable to CUDA in most configurations, confirming the effectiveness of SYCL. …”
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Raw-Data Driven Functional Data Analysis with Multi-Adaptive Functional Neural Networks for Ergonomic Risk Classification Using Facial and Bio-Signal Time-Series Data by Suyeon Kim, Afrooz Shakeri, Seyed Shayan Darabi, Eunsik Kim, Kyongwon Kim

“…Classifying such data presents inherent challenges due to multi-source information, temporal dynamics, and class imbalance. …”
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Label-Free Biomolecule Detection With InP/AlGaAs Charge Plasma Dielectric-Modulated Vertical TFET Using TaN as Metal Gate by Hashim Elshafie, Abdulrahman Saad Alqahtani, Azath Mubarakali, Adarsh Rag S, M. Venkatesh, P. Parthasarathy

“…The overlap between the source and pocket regions, along with the introduction of an auxiliary gate, optimizes the electrical characteristics. …”
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Constructing a Biomass-Data Center Nexus for Circular Economy-Based Energy Systems Integration by Pengya Wang, Li Pan, Guannan He, Gengyin Li, Jie Song, Ming Zhou, Jianxiao Wang

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Impact of Passive Modifications on the Efficiency of Darrieus Vertical Axis Wind Turbines Utilizing the Kline-Fogleman Blade Design at the Trailing Edge by Farzad Ghafoorian, Hui Wan

“…As the utilization of wind energy continues to expand as a prominent renewable energy source, the application of Darrieus Vertical Axis Wind Turbine (VAWT) technology has expanded significantly. …”
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Driving Forces and Future Scenario Simulation of Urban Agglomeration Expansion in China: A Case Study of the Pearl River Delta Urban Agglomeration by Zeduo Zou, Xiuyan Zhao, Shuyuan Liu, Chunshan Zhou

“…The remote sensing monitoring of land use changes and future scenario simulation hold crucial significance for accurately characterizing urban expansion patterns, optimizing urban land use configurations, and thereby promoting coordinated regional development. …”
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Determination of Nitrate Nitrogen and Nitrite Nitrogen in Brackish and Saline Waters by Flow Injection Analysis by Hongbin SUN, Huiyuan ZANG, Xin ZHANG, Yun ZHU, Lei WANG

“…Finally, sulfanilamide concentration was selected as 40g/L, hydrochloric acid-naphthyl ethylenediamine dihydrochloride concentration was selected as 1.0g/L as the optimal chromogenic concentration. Ammonium chloride concentration was selected as 60g/L, and the pH value was set to 8.5 to configure buffer solution. …”
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Ultra-transparent β-Ga2O3:Cr3+ glass-ceramics enabling high-efficiency true-transmission near-infrared light-emitting diodes by Shaoan Zhang, Yi Long, Penghui Zhang, Zaijin Fang, Zhenzhang Li, Huacong Ye, Guojun Zheng, Hong Jia, Jianrong Qiu, Yang Li

“…Near-infrared phosphor-converted light-emitting diodes (NIR pc-LEDs), one of the most promising NIR light sources, have garnered significant attention owing to their compact structure, long lifetime and energy conservation. …”
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Evaluation of Neural, Systemic and Extracerebral Activations During Active Walking Tasks in Older Adults Using fNIRS by Meltem Izzetoglu, Roee Holtzer

“…However, there exists other fNIRS devices incorporating a number of different types of light sources and detectors allowing multiple channels of long (3 cm SDS) and short (0.8 cm SDS) distance measurements in complex configurations for the monitoring of cognitive activations on various head locations at different depths with higher sampling rates of ~5 Hz (i.e. …”
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Recommendations on benchmarks for numerical air quality model applications in China – Part 2: Ozone and uncertainty analysis by L. Huang, X. Zhang, C. Emery, Q. Mu, G. Yarwood, H. Zhai, Z. Sun, S. Xue, Y. Wang, J. S. Fu, L. Li

“…A total of 216 relevant articles out of a total of 667 reviewed were identified to extract quantitative MPE results and key model configurations. From our analysis, two sets of benchmark values for six commonly used MPE metrics are proposed for CTM applications in China, categorized into “goal” benchmarks representing optimal model performance and “criteria” benchmarks representing achievable model performance across a majority of studies. …”
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A Systematic Mapping Study on Automatic Control Systems of Multi-Port dc/dc Power Converters by Diego Vargas, Leonardo Ortega, Julio C. Caiza, Danny S. Guamán

“…Their prevalence is increasing, enabling efficient energy conversion, enhancing reliability and stability, and optimizing power extraction from renewable sources. …”
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3E analysis of sCO2 recuperator cycle with multi effect desalination and organic Rankine cycle to enhance environmental sustainability by Mahmood Ahmadi, Saadat Zirak

“…The MED process utilizes waste heat from the sCO₂ cycle to produce fresh water, thereby enhancing overall system efficiency, while the ORC optimizes energy recovery from low-grade heat sources. …”
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Calculation of spatial target coordinates in range-difference passive radars by the Levenberg – Marquardt method by A. A. Dmitrenko, S. Y. Sedyshev, Y. У. Kuleshov, A. A. Bogatyrev

“…Upon completing a comparative analysis of obtained characteristics and dependencies, we concluded that it is optimal to include four receiving points in a range-difference passive radar and use the Levenberg – Marquardt method to calculate the spatial coordinates of radio emission sources.…”
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Advancements in hybrid heating systems for residential applications by Duaa Allahseh, Jan Böttner, Mohammad Al-Addous, Volker Lenz

“…The novelty of this work lies in its comprehensive assessment of hybrid system configurations, their control requirements, and the role of smart technologies in optimizing their operation. …”
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Targets Spatial Coordinates Calculation in Angle-Difference Rangefinder Passive Location Complexes by Numerical Iterative Methods by A. A. Dmitrenko, S. Y. Sedyshev

“…This paper presents the analysis results of the iterative numerical algorithms use for roots calculating of nonlinear equations systems (Levenberg-Marquardt, Newton’s algorithm, modified Newton’s algorithm, sequential iterations and gradient descent) describing the process of spatial rectangular coordinates calculating of radio emission sources in the angle-difference-rangefinder passive location complexes with different configurations (containing from 2 to 4 receivers). …”
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