Listening to Patients: Advanced Arabic Aspect-Based Sentiment Analysis Using Transformer Models Towards Better Healthcare by Seba AlNasser, Sarab AlMuhaideb

“…Traditional feedback collection methods often fall short of capturing the full spectrum of patient experiences, leading to skewed satisfaction reports due to patients’ reluctance to criticize services and the inherent limitations of survey designs. …”
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The impact of physical activities on adolescents’ rule consciousness: the chain mediation effect of friendship quality and emotional intelligence by Jiahui Peng, Li Cao, Deqiao Zhou

“…Traditional educational practices often fall short in integrating physical activity with socio-emotional learning, and they struggle to capture the complex dynamics influencing rule adherence. …”
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The Effectiveness of the Parent–Child VOC-Focused Environmental Education Program by Hyemi Lee, Yungwook Kim, Hansol Choi, Hyejin Kwon, Hyejung Kim, Kyung-Suk Cho

“…However, existing programs aimed at children often fall short of achieving effective learning outcomes because they do not consider the children’s developmental characteristics and the impact of facilitators, fragmented content, ineffective delivery methods, and the lack of actionable knowledge. …”
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How Do We Engage Customers in Official Activity in the Virtual Brand Community? The Effects of Enterprise-Generated Contents on Customer Engagement Behaviors by Xiaoxi Yang, Xinyi Su, Jing Lin, Jiaqi Liu, Miao Miao, Yushi Jiang

“…The findings reveal that media richness, information specialty, and information incentive of EGC positively influence higher-intensity CEBs, whereas more obvious information persuasiveness and information marketing fall short of driving active community engagement. …”
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A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression by Tingkai Hou, Zonghong Zhou, Yonggang Zhang, Jing Zhang

“…The results demonstrate that the DE-GWO-SVR method achieves the best results but requires the shortest inversion time.ResultsThe inversed RMMPs fall within acceptable ranges, while the error between the forward and monitored displacements is less than 10%, with a maximum deviation of 9.52%. …”
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Exploring the Influence of Truck Proportion on Freeway Traffic Safety Using Adaptive Network-Based Fuzzy Inference System by Shiwen Zhang, Yingying Xing, Jian Lu, H. Michael Zhang

“…The speed standard deviation increases initially and then fall with truck proportion increasing. The lane-changing decreases while truck proportion increasing. …”
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Estimación de la resistencia a la penetración de suelos usando redes neuronales artificiales Prediction of the soils penetration strength using artificial neural networks by Nidia Johana Valdés Holguín, Luis Octavio González Salcedo, Adrián L E. Will

“…<br>Artificial Neural Networks simulate the learning process of biological neurons, and these have been successfully used in the computation of parameters on several engineering problems where exist a strong nonlinear relation among the variables. …”
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NETRC Regional Conference: “Integrating Telehealth” by Andrew Solomon

“…<p>The Northeast Telehealth Resource Center (NETRC) invites participation in the second annual NETRC conference, "Integrating Telehealth in an Evolving Landscape" to be held September 23-24, 2015 in Burlington, Vermont. This fall, stakeholders from across an eight-state region will gather to learn about telehealth best practice and innovation, network with colleagues, and identify opportunities to advance their telehealth programs.…”
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Cognitive abilities in a sample of young Swedish children by Ingela Clausén Gull, Johanna Stålnacke, Lilianne Eninger, Laura Ferrer-Wreder, Kyle Eichas

“…Further, young children are also acquiring and deepening their language and preliteracy skills which are important for later academic learning. Central to cognitive abilities are the processes that enable deliberate and goal-oriented actions, which fall under the conceptual umbrella of executive functions (EFs). …”
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A mixed methods crossover randomized controlled trial exploring the experiences, perceptions, and usability of artificial intelligence (ChatGPT) in health sciences education by Mirella Veras, Joseph-Omer Dyer, Holly Shannon, Bryce J M Bogie, Morgan Ronney, Harmehr Sekhon, Derek Rutherford, Paulo Goberlânio Barros Silva, Dahlia Kairy

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Multi-Head Attention Based Bidirectional LSTM for Spelling Error Detection in the Indonesian Language by Yanfi Yanfi, Haryono Soeparno, Reina Setiawan, Widodo Budiharto

“…The solutions that are now available frequently fall short of meeting all spelling needs, including nonword, real-word, and punctuation errors. …”
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Priority-Aware SDN Orchestration for Surgical IoMT: A Joint Optimization of Hit Ratio and Latency With Dynamic Resource Reallocation by Yalda Safaei, Pouria Arefijamal, Mahdi Siamaki, Bardia Safaei

“…Conventional resource orchestration methods often fall short, failing to guarantee performance for high-priority surgical tasks, particularly under dynamic network conditions, including varied wireless channel quality, and potential congestion. …”
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An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets by Ahmad Salehiyan, Pardis Sadatian Moghaddam, Masoud Kaveh

“…Traditional IDS approaches often fall short against evolving threats, highlighting the need for intelligent and adaptive solutions. …”
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Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments by Pardis Sadatian Moghaddam, Ali Vaziri, Sarvenaz Sadat Khatami, Francisco Hernando-Gallego, Diego Martín

“…Traditional detection methods often fall short in identifying multi-class attacks, particularly in the presence of high-dimensional and imbalanced IoT traffic. …”
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Development of the Physics Practicum Apparatus based on Microcontroller: A Prototype Constructed from Misconceptions of Basic Kinematics Concepts by Endah Nur Syamsiah, Muhammad Rizka Taufani, Adam Hadiana Aminudin, Rahadian Sri Pamungkas, Reno Muhammad Fadilla, Fatih Najah Nabilah

“…There are 7 out of 10 acceleration data that fall within the confidence interval  at the 96% confidence level. …”
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Pipeline corrosion rate prediction model using BP neural network based on improved sparrow search algorithm by Shuhui XIAO, Chuanjia DU, Chengjun WANG

“…However, most of the existing prediction models are based on the BP neural network, which has drawbacks such as slow convergence rates and a tendency to fall into local optima. Methods This paper proposes a pipeline corrosion rate prediction model using an optimized BP neural network based on an improved Sparrow Search Algorithm to address the aforementioned disadvantages. …”
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Causes of baseflow variation in an inland river watershed of Northwest China by Mengwei Song, Hailong Liu, Quanlong Wu, Aminjon Gulakhmadov, Firdavs Shaimuradov

“…Notably, all observed lag times fall within a 22-day window without statistically significant differences. …”
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AI-driven diagnosis and health management of autonomous electric vehicle powertrains: An empirical data-driven approach by Hicham El hadraoui, Adila El maghraoui, Oussama Laayati, Erroumayssae Sabani, Mourad Zegrari, Ahmed Chebak

“…Conventional diagnostic techniques often fall short in providing accurate, real-time fault identification under such variability. …”
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Distinguishing participants, patients and the public: implications of different institutional settings on engagement approaches by Anne L. Buffardi, William Lammons, Nira Shah, Dalya Marks

“…Results The three institutions generally fall along a continuum, with universities having the most bounded relationship with the public and LAs the most expansive and enduring. …”
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Supervised Toothbrushing and Silver Diamine Fluoride Application of Rohingya Children in a Refugee Camp in Bangladesh by Khaleda Zaheer, Tahmina Zerin, James Coughlan, Shuvashis Saha, Elsa Delgado-Angulo, Elham Kateeb

“…Conclusion: Supervised toothbrushing and SDF application in learning centres in refugee camps can improve the oral health of refugee children and instil healthy hygiene habits. …”
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