Automated Screening of Precancerous Cervical Cells Through Contrastive Self-Supervised Learning by Jaewoo Chun, Ando Yu, Seokhwan Ko, Gunoh Chong, Jiyoung Park, Hyungsoo Han, Nora Jeeyoung Park, Junghwan Cho

“…Our results indicate that our approach improves screening accuracy and reduces the workload for cytopathologists, contributing to more efficient cervical cancer screening programs.…”
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Skin-adaptive nanofiber-based adhesive electronics with octopus-like 3D suction cups for enhanced transdermal delivery by Minwoo Song, Hyoung-Ki Park, Minjin Kim, Gui Won Hwang, Jihun Son, Gyun Ro Kang, Jihyun Lee, Changhyun Pang

“…To further enhance the TDD efficiency, we integrated a conductive layer into the CNFs-OIA. …”
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Multimodal data fusion for Alzheimer's disease based on dynamic heterogeneous graph convolutional neural network and generative adversarial network by Xiaoyu Chen, Shuaiqun Wang, Wei Kong

“…Current research has progressed from single-modal data analysis to multi-modal data fusion, leveraging deep learning's efficient data analysis capabilities to handle complex datasets. …”
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A Lightweight Dual-Branch Complex-Valued Neural Network for Automatic Modulation Classification of Communication Signals by Zhaojing Xu, Youchen Fan, Shengliang Fang, You Fu, Liu Yi

“…Additionally, LDCVNN achieves a better balance between efficiency and performance across other datasets.…”
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Deep Learning-Based Performance Prediction of Electric Submersible Pumps Under Viscous and Gas–Liquid Flow Conditions by Haiwen Zhu, Hong Yu, Qiang Sun, Qiuchen Wang, Haorong Jing, Rakhymzhan Abdikadyrov

“…The findings demonstrate the advantages of machine learning over traditional methods, including an enhanced prediction accuracy, practical guidelines for efficient parameter tuning, and the ability to address incomplete pump curve data. …”
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Intelligent Robot in Unknown Environments: Walk Path Using Q-Learning and Deep Q-Learning by Mouna El Wafi, My Abdelkader Youssefi, Rachid Dakir, Mohamed Bakir

“…Autonomous navigation is essential for mobile robots to efficiently operate in complex environments. This study investigates Q-learning and Deep Q-learning to improve navigation performance. …”
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DRaCOon: a novel algorithm for pathway-level differential co-expression analysis in transcriptomics by Fernando M. Delgado-Chaves, Ferdinand Spurny, Tanja Laske, Mhaned Oubounyt, Jan Baumbach

“…However, a key challenge is the lack of robust methods and benchmarks specifically for evaluating algorithms’ ability to identify disrupted gene-gene associations across conditions. …”
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MRP-YOLO: An Improved YOLOv8 Algorithm for Steel Surface Defects by Shuxian Zhu, Yajie Zhou

“…Furthermore, the anti-interference ability of the model is enhanced through the deformability of attention and the large convolution kernel characteristics. …”
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A Physics-Informed Neural Network Solution for Rheological Modeling of Cement Slurries by Huaixiao Yan, Jiannan Ding, Chengcheng Tao

“…Compared to conventional solvers, the PINN solution offers a more efficient and flexible alternative for modeling complex rheological behavior in data-limited scenarios. …”
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A tissue culture model of murine gammaherpesvirus replication reveals roles for the viral cyclin in both virus replication and egress from infected cells. by Francine M Scott, Samuel H Speck

“…As observed for acute replication in vivo, efficient replication in RL-65 cells requires CDK binding. …”
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The Influence of Asset Management, Solvency, and Liquidity on Financial Performance in Food and Beverage Sub-Sector Companies Listed on the Indonesia Stock Exchange in 2021-2023 by Yanita Paulina Br Sebayang, Retnawati Siregar, Hasbiana Dalimunthe, Shabrina Tri Asti Nasution

“…These findings indicate that efficient asset management, a healthy capital structure, and the company's ability to meet short-term obligations are important factors in improving financial performance. …”
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UFSRAT: Ultra-fast Shape Recognition with Atom Types--the discovery of novel bioactive small molecular scaffolds for FKBP12 and 11βHSD1. by Steven Shave, Elizabeth A Blackburn, Jillian Adie, Douglas R Houston, Manfred Auer, Scott P Webster, Paul Taylor, Malcolm D Walkinshaw

“…This demonstrates the valuable ability of the UFSRAT algorithm to perform scaffold hops.…”
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Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm by Muhammad Haris, Haewoon Nam

“…Additionally, the algorithm’s realworld applicability is evaluated through a smart vehicle simulation, assessing its ability to identify safe and efficient paths while minimizing overall path length. …”
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Does AIS quality lead to reporting quality in the municipalities: case study of the west bank? by Doaa’ Younis, Raed Saad, Zahran Daraghma, Abdulnaser Nour

“…The high-quality reporting improves the ability to get grants and provides valuable financial data for different users.…”
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Design and verification of a single-degree-of-freedom driven deformable wheel mechanism by C. Sha, Y. Huang, Y. Wang, B. Wang, F. Zhou, G. Zhang

“…<p>Improving the obstacle-crossing ability of special vehicles in complex environments is essential for emergency rescue and security operations. …”
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TAX AND DEBT STRATEGY OF FISCAL REGULATION OF THE TRANSITIVE ECONOMY by V. K. Giraev

“…Social expenditures, which are not secured by tax revenues and/or state borrowing, definitely needs to be reviewed in accordance with criteria of fiscal adequacy, economic efficiency, and social justice.…”
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Physical Vapor Deposition Techniques for CO2 Electroreduction: A Review by Samah A. Mahyoub, Arshad Farid, Muhammad Zain Azeem, Danah A. AL Fadhil, Fahim A. Qaraah, Qasem A. Drmosh

“…By addressing these aspects, this review provides insights into optimizing PVD‐based catalysts for efficient and stable CO2 reduction.…”
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Catalytic pyrolysis of bio-waste in synthesis of value-added products: A systematic review by Kofoworola Awodun, Yinghe He, Chunfei Wu, Salman Masoudi Soltani

“…Bio-waste is a natural waste with significant potential to contribute to net zero emissions targets. However, its efficient valorisation remains a global challenge. …”
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Optimal Selection of Extensively Used Non-Isolated DC–DC Converters for Solar PV Applications: A Review by Khan Mohammad, M. Saad Bin Arif, Muhammad I. Masud, Mohd Faraz Ahmad, Mohammed Alqarni

“…However, it faces challenges due to its inherently low output voltage and non-linear characteristics, which limit its efficiency and performance. These limitations necessitate the use of DC–DC converters to optimize voltage levels and ensure efficient energy transfer, making them a crucial component in PV systems. …”
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FODIT: A Filter-Based Module for Optimizing Data Storage in B5G IoT Environments by Bruno Ramos-Cruz, Francisco J. Quesada-Real, Javier Andreu-Pérez, Jessica Zaqueros-Martinez

“…The results demonstrate FODIT’s ability to reduce storage requirements and improve query responsiveness under these stress-test conditions. …”
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