FRUIT: Fuzzy Representation of Unbounded and Imprecise Terms in Non-Functional Requirements by Franklin Parrales-Bravo, Rosangela Caicedo-Quiroz, Julio Barzola-Monteses, Leonel Vasquez-Cevallos

“…A table containing attributes, metrics, and linguistic values is supplied to aid in its definition; the stakeholders and elicitors are tasked with defining the boundaries of each linguistic value. …”
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GEOPHYSICAL INDICATORS OF AUFEIS IN THE ANMANGYNDA RIVER (MAGADAN REGION) by V. V. Olenchenko, O. M. Makarieva, A. A. Zemlianskova, K. P. Danilov, A. A. Ostashov, A. S. Kalganov, N. V. Nesterova, I. I. Khristoforov

“…By means of georadar, there were performed identification and drilling verification of the groundwater discharge channels from alluvium to aufeis surface, located in the stream beds. …”
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An Assist-as-Needed Control Strategy Based on a Subjective Intention Decline Model by Hao Yan, Fangcao Zhang, Xingao Li, Chenchen Zhang, Yunjia Zhang, Yongfei Feng

“…This model combines traditional impedance control with a method for assessing limb movement and subjective status, automatically adjusting the level of assistive force on the affected limb in real time to enhance its active participation in tasks. Finally, we performed two verification experiments to assess the patient’s initiative in participating in the training. …”
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CHATGPT: ATTITUDES AND EXPERIENCES OF TECHNICAL UNIVERSITY STUDENTS IN UKRAINE by Oksana Chugai, Kateryna Havrylenko

“…Analysis of the data revealed that the majority of students employed ChatGPT sporadically, primarily seeking assistance with programming tasks and grappling with complex concepts. While students expressed moderate satisfaction with ChatGPT’s support and its perceived enhancement of their grasp of course material, they also acknowledged its positive impact on their academic performance both in technical sciences and humanities. …”
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AutoGEEval: A Multimodal and Automated Evaluation Framework for Geospatial Code Generation on GEE with Large Language Models by Huayi Wu, Zhangxiao Shen, Shuyang Hou, Jianyuan Liang, Haoyue Jiao, Yaxian Qing, Xiaopu Zhang, Xu Li, Zhipeng Gui, Xuefeng Guan, Longgang Xiang

“…To address this gap, we propose AutoGEEval, the first multimodal, unit-level automated evaluation framework for geospatial code generation tasks on the Google Earth Engine (GEE) platform powered by large language models (LLMs). …”
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A verifiably secure and robust authentication protocol for synergistically-assisted IoD deployment drones. by Ali Delham Algarni, Nisreen Innab, Fahad Algarni

“…Therefore, this article presents a protocol based on elliptic curve cryptography (ECC), one-way hash, concatenation, and exclusive-OR (XOR) operations to establish a secure communication session among drones which makes them a powerful system to perform complex tactical tasks and information fusion intelligently. The security analysis of the proposed protocol has formally been scrutinized via BAN logic and ProVerif and informally via realistic discussion and illustrations. …”
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Real‐Time Parameter Identification and State of Charge Estimation of Electric Vehicle Batteries by A. Maheshwari, S. Nageswari, R. Palanisamy, B. Karthikeyan, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Ali M. El‐Rifaie, Ezzeddine Touti, Ahmed I. Omar

“…ABSTRACT Accurate determination of the state of charge (SOC) is crucial for carrying out a range of battery management tasks. Meanwhile, for figuring out the SOC, it is crucial to determine the battery model parameters as they can vary based on the operating conditions. …”
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Development and Evaluation of a Novel Curriculum for Whole Blood Transfusion by Paramedics in the Prehospital Environment by Eric Garfinkel, Robby May, Asa Margolis, Eric Cohn, Steven Colburn, Tom Grawey, Matthew Levy

“…The course included an asynchronous component as well as an in-person, skills competency verification. The asynchronous portion was open to any paramedic, but only paramedic supervisors were eligible for the in-person skills check as they are the ones tasked with administering blood in the field. …”
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Advanced Detection of Violence From Video: Performance Evaluation of Transformer and State of the Art of Convolution of Neural Network Transformer by Abdulrahman Alshalawi, Wadood Abdul, Ghulam Muhammad

“…Semi-automated violence recognition refers to a system where AI models assist in identifying violent incidents within video footage, but human intervention is still required for certain tasks, such as verification or decision-making. The AI system automatically detects potential violent events, flagging them for further review by human operators, who then confirm or act upon these alerts. …”
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Automated Testing for Service-Oriented Architecture: Leveraging Large Language Models for Enhanced Service Composition by Mahsun Altin, Behcet Mutlu, Deniz Kilinc, Altan Cakir

“…Models such as OpenAI’s ChatGPT and Anthropic’s Claude Sonnet models also demonstrated strong performance in single-flight validation scenarios, making them suitable for low-latency, high-precision tasks. Our findings indicate that some open-source models can offer promising cost-effective alternatives, though performance significantly varies. …”
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Calculation of optimal values of weight coefficients for compensation of the mutual coupling of antenna array elements by Anatoly M. Bobreshov, Alexander A. Kononov, Olga V. Neskorodova, Ksenia V. Smuseva, Grigory K. Uskov

“…Quantitative estimates of the effects of mutual coupling and their compensation, as well as verification of the developed mathematical model, were carried out using numerical methods. …”
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Development of Flash Flood Forecasting System for Small and Medium‐Sized Rivers by Koji Ikeuchi, Daiki Kakinuma, Yosuke Nakamura, Shingo Numata, Takafumi Mochizuki, Keijiro Kubota, Masaki Yasukawa, Toshihiro Nemoto, Toshio Koike

“…Moreover, the large number of SMRs necessitates a system that can be widely used by local governments for disaster response tasks, such as issuing evacuation orders. Therefore, we developed a system that can accurately predict when river water levels will reach the Flood Risk Level (FRL). …”
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Exploring pre-service teachers’ generative AI readiness and behavioral intentions by Phuong Bui, Tiina Korhonen, Sini Kontkanen, Sorella Karme, Satu Piispa-Hakala, Marjaana Veermans

“…Ideation and content creation emerged as the most common GenAI-supported tasks, while self-regulated and adaptive learning remained underutilized, indicating limited awareness of GenAI’s broader potential. …”
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A borehole image dataset for the intelligent identification of structural planes by Yi Cheng, Zengqiang Han, Yuyong Jiao, Shuangyuan Chen, Chao Wang

“…In object detection tasks, YOLO-v8 achieved optimal performance with mAP50, mAP75, and mAP50–95 values of 75.8 %, 64.7 %, and 60.0 %, respectively, alongside precision and recall rates of 64.30 % and 83.60 %, outperforming other models. …”
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Realizing high-speed target tracking by using multi-rate feedforward predictive control for the acquisition, tracking, and pointing system by Hang Li, Gaoliang Peng, Xiaobiao Shan, Mingyuan Zhao, Wei Zhang, Jinghan Wang, Feng Cheng

“…As a result, tracking algorithms are required to execute increasingly complex tasks. This study introduces a multi-rate feedforward predictive controller to address issues such as low image feedback frequency and significant delays in ATP systems, which lead to tracking jitter, poor tracking performance, low precision, and target loss. …”
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Detecting and identifying Schistosoma infections in snails and aquatic habitats: A systematic review. by Bishoy Kamel, Martina R Laidemitt, Lijun Lu, Caitlin Babbitt, Ola Liota Weinbaum, Gerald M Mkoji, Eric S Loker

“…<h4>Background</h4>We were tasked by the World Health Organization (WHO) to address the following question: What techniques should be used to diagnose Schistosoma infections in snails and in the water in potential transmission sites? …”
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Patient-Generated Collections for Organizing Electronic Health Record Data to Elevate Personal Meaning, Improve Actionability, and Support Patient–Health Care Provider Communicatio... by Drashko Nakikj, David Kreda, Karan Luthria, Nils Gehlenborg

“…By observing how patients used features to select records and assemble them into collections, our goal was to learn about their preferred mechanisms to complete these tasks and the challenges they would face in the wild. …”
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SpiNeRF: direct-trained spiking neural networks for efficient neural radiance field rendering by Xingting Yao, Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Tielong Liu, Zitao Mo, Zeyu Zhu, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng, Jian Cheng

“…Spiking neural networks (SNNs) have recently demonstrated significant progress across various computational tasks, due to their potential for energy efficiency. …”
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QSAC: Quantum-assisted Secure Audio Communication using quantum entanglement, audio steganography, and classical encryption by Md. Raisul Islam Rifat, Md. Mizanur Rahman, Md. Abdul Kader Nayon, Md Shawmoon Azad, M.R.C. Mahdy

“…The emergence of quantum computing poses a significant security threat to the current classical cryptography system since it has the potential to outperform the current classical computer in some specific tasks due to its unique principle of operation. This necessitates finding a method that is resistant to quantum computers to securely transfer information. …”
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Medication-related infrastructure and medication reviews in nursing homes—a rapid appraisal study by Carla Meyer-Massetti, Magdalena Osińska, Naomi Welte, Franziska Zúñiga

“…Accordingly, pharmacists were predominantly tasked with logistics, but were also key contacts for medication information. …”
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