Design and evaluation of a voltage-controlled current source for galvanic vestibular stimulation research by Zhi Liu, Shieru Suzuki, Tatsuki Fushimi, Yoichi Ochiai

“…The prototyping of such devices necessitates rigorous testing and calibration, processes that are both resource-intensive and time-consuming. …”
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A systematic review of AI-powered collaborative learning in higher education: Trends and outcomes from the last decade by Attila Kovari

“…It also identifies two other critical issues: good task design and effective emotional engagement and social presence in AI-based environments. …”
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State-of-the-Art on IoV-Based Deep Learning Framework for Enhanced Driving Behavior Recognition: Recent Progress, Technology Updates, Challenges, and Future Direction by Hongguang Li, Shafrida Sahrani, Mahidur R. Sarker, Yinglin Xiao

“…The analysis reveals that data quality, computational demands, and privacy issues are currently hindering the full realization of this technology. …”
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Scalable fabrication of precise flexible strain sensors using organic semiconductor single crystals by Yoshihisa Usami, Yu Yamashita, Tomohiro Murata, Takafumi Matsumoto, Masataka Ito, Shun Watanabe, Jun Takeya

“…In this study, we present a comprehensive approach to address these issues through advanced device processing, design, and measurements. …”
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Split RNA switch orchestrates pre- and post-translational control to enable cell type-specific gene expression by Itsuki Abe, Hirohisa Ohno, Megumi Mochizuki, Karin Hayashi, Hirohide Saito

“…Split RNA switches highlight the potential of post-translational processing as a versatile and comprehensive strategy for advancing mRNA-based therapeutic technologies.…”
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Accelerating Batched Power Flow on Heterogeneous CPU-GPU Platform by Jiao Hao, Zongbao Zhang, Zonglin He, Zhengyuan Liu, Zhengdong Tan, Yankan Song

“…This method, based on the fast decoupled method, combined with the tremendous parallel computing capability of GPUs with the multi-threaded parallel processing of CPUs, efficiently resolves the exceeding bus type conversion issues in GPU-batched power flow calculation and improves the accuracy of the power flow calculations. …”
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Unmanned Ground Vehicles for Continuous Crop Monitoring in Agriculture: Assessing the Readiness of Current ICT Technology by Maurizio Agelli, Nicola Corona, Fabio Maggio, Paolo Vincenzo Moi

“…ICT can facilitate this process using autonomous Unmanned Ground Vehicles (UGVs) to navigate crops, detect issues, georeference them, and report to human experts in real time. …”
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Few-shot biomedical NER empowered by LLMs-assisted data augmentation and multi-scale feature extraction by Di Zhao, Wenxuan Mu, Xiangxing Jia, Shuang Liu, Yonghe Chu, Jiana Meng, Hongfei Lin

“…Abstract Named Entity Recognition (NER) is a fundamental task in processing biomedical text. Due to the limited availability of labeled data, researchers have investigated few-shot learning methods to tackle this challenge. …”
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Improved RT-DETR Network for High-Quality Defect Detection on Digital Printing Fabric by Zebin Su, Yunlong Shao, Pengfei Li, Xingyi Zhang, Huanhuan Zhang

“…Digital printing technology has been successfully implemented in actual production within factories. However, issues with various digital printing heads can still lead to defects in printed fabrics, reducing the pass rate of digital printing textiles. …”
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A comprehensive review of integrated phytoremediation and nanoparticle methods for heavy metal in red mud by Andriyan Yulikasari, Bieby Voijant Tangahu, Ervin Nurhayati, Isni Arliyani, Mashudi, Harmin Sulistiyaning Titah, Yeng Ming Lam, Yamin Wang

“…Red mud (RM), a waste product from the processing of bauxite ore used in the alumina industry, has high salinity and alkalinity levels as well as a number of heavy metals that can cause environmental issues. …”
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Assay of Physicochemical and Statistical Analysis of Textile Dyeing Effluent Generated from Different Fabrics by Muhammad Owais Chughtai, Asad A Zaidi, Abdul Hameed Memon, Ahmad Hussain, Arsalan Ahmed

“…Due to varied methods of dyeing processes involving enormous amount of water the textile processing units are blamable for major environmental pollution issues worldwide as this wastewater is released without appropriate treatment in nearby water channels. …”
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Artificial Intelligence in Healthcare A Review of Machine Learning Applications by Karajgi Santosh, R Vijaya Prakash, Kumar K. Gagan, Selvi P Tamil, Shankar Bhukya, S Jeyanthi

“…Despite its potential, however, there are significant barriers to widespread adoption, such as data privacy issues, high computational costs, AI bias, lack of standardized evaluation, regulatory barriers, and integration with legacy healthcare systems. …”
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The Method for Determining Optimal Analysis Length of Vibration Data Based on Improved Multiscale Permutation Entropy by Jianwei Zhang, Ziyu Li, Peng Yan, Yang Li, Jinlin Huang

“…In the process of data analysis, the choice of data length is very important, which is related to the validity of the structure monitoring results. …”
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Audible Noise Evaluation in Wind Turbines Through Artificial Intelligence Techniques by Mathaus Ferreira da Silva, Juliano Emir Nunes Masson, Murillo Ferreira dos Santos, William Rodrigues Silva, Iuri Wladimir Molina, Gabriel Miguel Castro Martins

“…In recent years, wind power has become a more attractive alternative energy source for overcoming environmental issues. Predictive maintenance is essential for wind power devices to ensure that these systems work reliably and with sufficient availability. …”
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Tensor-Based Efficient Federated Reinforcement Learning for Cyber-Physical-Social Intelligence by Xin Nie, Laurence T. Yang, Fulan Fan, Zecan Yang

“…Moreover, centralized data collection and processing methods pose privacy security risks. Federated learning offers a distributed approach that ensures privacy preservation while co-training models. …”
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FPGA implementation of high throughput encoder and decoder design of lossless canonical Huffman machine by Erna Guguloth, Saidulu Vadtya, Thirumalesu Kudithi, Muni Rathnam Shanmugam, Ashok Nayak Banoth

“…The Canonical Huffman encoder and decoder efficiently handle the multibit characteristics of data compression, significantly reducing memory usage and processing time. The proposed approach processes 160-bit input data, generating a compressed output of 90 bits using variable-length Canonical Huffman codes. …”
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A Pipette for High-Resolution Sampling and Delivery of pL Bio-Samples by Ziyang Han, Pengfei Gong, Hengxiang Su, Zehang Gao, Shilun Feng, Jianlong Zhao

“…Conventional laboratory methods for handling valuable biological samples typically use pipettes or needles, which are prone to issues such as dead volume and sample waste. Furthermore, the sampling and processing of pathogenic bacteria, such as <i>Escherichia coli</i> (<i>E. coli</i>) in environmental wastewater, require labor-intensive procedures with multiple complex steps. …”
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Designing Development Readiness Indicators and Roadmap for Petaflops Scale Supercomputers by Davood Maleki, Mohammad Reza Ahmadi, Alireza Mansouri, Ehsan Arianyan

“…This paper proposes a comprehensive roadmap focusing on several strategic areas, including research activities, infrastructure and platforms, data processing, standard regulations, applied services, and business development. …”
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Analysis of the Contextual Factors Influencing the Expansion of Construction Violations with an Emphasis on the Role and Position of Key Urban Stakeholders (Case Study: Isfahan Met... by Ahmad Shahivandi, Afsaneh Talebi Varnosfaderani

“…Factors like high construction costs, lengthy permit processes, citizens' reluctance to renovate, and inconsistencies in city hall policies have made these violations more justifiable in the eyes of the public (Pong et al., 2009, p. 18).This issue is particularly prevalent in developing countries. …”
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Gallic acid based green corrosion inhibitor for mild steel in 1 M HCl electrochemical and microbial assessment with theoretical validation by Ahmed. E. Suliman, Ahmed H. Mangood, Naema S. Yehia, M. Abdelraouf, Hany A. Batakoushy, Moaz M. Abdou, E. G. Zaki

“…Abstract The petroleum industry, characterized by the significant investment in costly equipment and devices utilized in the extraction, production, or processing of crude oil, can result in the loss of valuable assets or the crude itself. …”
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