Larger models yield better results? Streamlined severity classification of ADHD-related concerns using BERT-based knowledge distillation. by Ahmed Akib Jawad Karim, Kazi Hafiz Md Asad, Md Golam Rabiul Alam

“…The model was also used on a real-world ADHD dataset with an accuracy of 85%, F1 score of 85%, precision of 85%, and recall of 85%. …”
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Evaluating the Effectiveness of Zero Trust Architecture in Protecting Against Advanced Persistent Threats by Pushpendra Kumar Verma, Bharat Singh, Preety, Shubham Kumar Sharma, Rakesh Prasad Joshi

“…To shed light on the real-world application of Zero Trust Architecture, the paper also investigates empirical data and case studies from real-world scenarios. …”
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A Model of an Integrated Research and Education Program in Space Weather at a Community College by M. C. Damas, C. M. Ngwira, T. D. Cheung, P. Marchese, M. Kuznetsova, Y. Zheng, A. Chulaki, A. Mohamed

“…Space weather provides the opportunity to engage undergraduate students in real‐world research due to the accessibility of space mission data sets within open access data repositories. …”
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Multiplex Network Embedding Model with High-Order Node Dependence by Nianwen Ning, Qiuyue Li, Kai Zhao, Bin Wu

“…They contain multiple types of relations between nodes, in which each type of the relation is intuitively modeled as one layer. In the real world, the formation of a type of relations may only depend on some attribute elements of nodes. …”
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Versatile graceful degradation framework for bio-inspired proprioception with redundant soft sensors by Taku Sugiyama, Kyo Kutsuzawa, Dai Owaki, Elijah Almanzor, Fumiya Iida, Mitsuhiro Hayashibe

“…Reliable proprioception and feedback from soft sensors are crucial for enabling soft robots to function intelligently in real-world environments. Nevertheless, soft sensors are fragile and are susceptible to various damage sources in such environments. …”
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Potential for eliminating COVID-19 in Thailand through third-dose vaccination: A modeling approach by Pannathon Kreabkhontho, Watchara Teparos, Thitiya Theparod

“…By leveraging mathematical modeling techniques and real-world data, stakeholders can develop evidence-based strategies to combat the COVID-19 pandemic and safeguard public health.…”
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Multi-Feature Fusion for Enhanced Feature Representation in Automatic Modulation Recognition by Jiuxiao Cao, Rui Zhu, Lingfeng Wu, Jun Wang, Guohao Shi, Peng Chu, Kang Zhao

“…These results validate the model’s high efficiency and robustness in both simulated and real-world environments.…”
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Integrating AI and statistical methods for enhancing civil structural practices: current trends, practical issues, and future direction by Asraar Anjum, Meftah Hrairi, Abdul Aabid Shaikh, Noorfazrina Yatim, Maisarah Ali

“…The review delves into case studies and real-world applications, showcasing the potential of these methods to create more resilient, sustainable, and cost-effective infrastructures. …”
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Crossing Virtual Doors: A New Method to Study Gait Impairments and Freezing of Gait in Parkinson’s Disease by Luis I. Gómez-Jordana, James Stafford, C. (Lieke) E. Peper, Cathy M. Craig

“…The results were similar to those obtained in the real-world setting. Virtual doorways reduced step length and velocity while increasing general gait variability. …”
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Does prism adaptation treatment reduce spatial neglect and improve function? by Peii Chen, Peii Chen, Kimberly Hreha, Catrina MacPhee, Amber Salter, Gail A. Eskes

“…and considerations of adaptability and feasibility in real-world settings. The present critical review led to the following conclusion: the use of the NIH Stage Model reveals the heterogeneity of PAT studies and challenges in advancing PAT as an effective intervention. …”
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Detection the topics of Facebook posts using text mining with Latent Dirichlet Allocation (LDA) algorithm by Shahlaa Mashhadani

“…The use of relevant Facebook data enhances the real-world relevance of the results, facilitating targeted analysis based on the language patterns used by users in these posts and thus contributing to the success of security objectives. …”
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Reliability Testing of Machine Learning Model Prediction Capability towards Unidentifiable Microplastic Spectral Data: Triple Battery and Colorant Investigation by Wesley A. Williams, Shyam Aravamudhan

“…A threefold battery; synthetic data (SD), mixed synthetic data (MSD), and real-world data from an FTIR Library of Plastic Particles sourced from the Environment (FLOPP-E) and a [Raman] Spectral Library of Plastic Particles aged in the Environment (SLOPP-E); was administered for reliability. …”
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Evaluating medical learners’ experiences with health literacy at a southeastern medical school by Faith Albertson, Ann Blair Kennedy, Shannon Stark Taylor, Nabil Natafgi

“…Barriers to using HL interventions included time constraints and lack of real-world experience. Faculty recommended time prioritization and collaborative strategies to overcome these barriers. …”
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EMS3D-KITTI: Synthetic 3D dataset in KITTI format with a fair distribution of Emergency Medical Services vehicles for autodrive AI model trainingZenodo by Chandra Jaiswal, Sally Acquaah, Christopher Nenebi, Issa AlHmoud, AKM Kamrul Islam, Balakrishna Gokaraju

“…Furthermore, this dataset contributes to broader efforts in road safety and the development of AI systems capable of handling specialized vehicle identification in real-world applications.…”
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A Fluid Model for Mobile Data Offloading Based on Device-to-Device Communications with Time Constraints by Antonio Pinizzotto, Raffaele Bruno

“…Simulation results validate the accuracy of our model predictions, in terms of both aggregate statistics and the temporal evolution of the system state, using both synthetic and real-world mobility datasets. Finally, we compare OORS—optimally tuned with respect to protocol parameters—to two state-of-the-art content offloading schemes, Push-and-track (PAT) and SNSNI, a seed node selection algorithm based on node influence. …”
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An Incremental Regularization Kernel Randomized Neural Network for Electrical Energy Output Prediction in Combined Cycle Power Plant by Xinlei Li, Henggong Yue, Fei Li, Zerui Yun, Zhenzhou Li, Yongjie Liu, Wei Shi, Yang Liu

“…These nodes may lead to weak performance in real world data modeling tasks. An important factor is that the neural nodes constructed in the early stages may influence the quality of subsequently generated nodes. …”
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Trip route optimization based on bus transit using genetic algorithm with different crossover techniques: a case study in Konya/Türkiye by Akylai Bolotbekova, Huseyin Hakli, Ayse Beskirli

“…This method is determined to find the maximum number of feasible solutions for a 14-stop real-world problem and it’s the shortest route in all trials and handling them in fewer iterations.…”
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Measuring Health Promoter Core Competencies Among Graduate Students Enrolled in a Health Promotion Course by Lauren M. Sherk, Melissa MacKay, Jennifer E. McWhirter, Andrew Papadopoulos

“…Case-based learning is a learner centered approach that allows students to apply their knowledge to real-world scenarios, promoting higher-order thinking. …”
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An Adaptive Spatio-Temporal Traffic Flow Prediction Using Self-Attention and Multi-Graph Networks by Basma Alsehaimi, Ohoud Alzamzami, Nahed Alowidi, Manar Ali

“…Traffic flow prediction is a pivotal element in Intelligent Transportation Systems (ITSs) that provides significant opportunities for real-world applications. Capturing complex and dynamic spatio-temporal patterns within traffic data remains a significant challenge for traffic flow prediction. …”
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Effects of project-based learning on EFL learners' writing performance. by Abebaw Andargie, Dawit Amogne, Ebabu Tefera

“…As students work on worthwhile projects, its emphasis on real-world applicability and realistic activities can help them become better writers. …”
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