Impact of Comorbid Asthma on Life Quality of Patients with Chronic Rhinosinusitis and Nasal Polyps by Wu PW, Chang PH, Huang CC, Lee TJ, Fan YH, Huang CC

“…Clinical information of the participants, including laboratory data and computed tomography images. The Sinonasal Outcome Test-22 was used to evaluate nasal symptoms and quality of life impairment of participants.Results: A total of 170 participants were recruited, of whom 32 (18.8%) had comorbid asthma. …”
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Smoothed per-tensor weight quantization: a robust solution for neural network deployment by Xin Chang

“…This paper introduces a novel method to improve quantization outcomes for per-tensor weight quantization, focusing on enhancing computational efficiency and compatibility with resource-constrained hardware. …”
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Dynamic Relevance-Weighting-Based Width-Adaptive Auto-Encoder by Malak Almejalli, Ouiem Bchir, Mohamed Maher Ben Ismail

“…The approach was rigorously evaluated on benchmark datasets (MNIST, CIFAR-10) and real-world datasets (Parkinson, Epilepsy), using classification accuracy and computational cost as key performance metrics. …”
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Personalized Influential Community Search in Large Networks: A K-ECC-Based Model by Shi Meng, Hao Yang, Xijuan Liu, Zhenyue Chen, Jingwen Xuan, Yanping Wu

“…To further speed up the computation and meet the online requirement, we develop an index-based algorithm. …”
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Ultrasound assessment of abdominal wall muscle thickness in liver transplant recipients and healthy donors: a comparative study for the assessment of sarcopenia by Aghi Shweta, Dhingra Udit, Sindwani Gaurav, Yadav Anil, Benjamin Jaya, Bansal Kanika, Pamecha Viniyendra, Tempe Deepak K.

“…Traditional assessment tools such as computed tomography (CT) and bioelectrical impedance analysis have limitations in clinical use. …”
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Vulnerability and Risk Management to Ensure the Occupational Safety of Underground Mines by Fîță Nicolae Daniel, Păsculescu Dragoș, Obretenova Mila Ilieva, Popescu Florin Gabriel, Lazăr Teodora, Cruceru Emanuel Alin, Lazăr Dan Cristian, Slușariuc Gabriela, Safta Gheorghe Eugen, Șchiopu Adrian Mihai

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Retrofit Analysis of Florida Beam-and-Post Reinforced Concrete Bridge Barriers by J.W. Wekezer, I. Kreja, M. Issa

“…The major objective of the study was to evaluate crashworthiness of the existing. Florida Beam-and-Post reinforced concrete bridge barriers. …”
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Application of BCI in Muscle Regeneration Tissue by Cao Yaoxian, Zhou Shengkai, Zhao Yunbo

“…The application of brain-computer interface (BCI) technology in the medical field continues to expand, and the research on muscle regeneration tissue has gradually attracted attention. …”
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Service-Oriented Node Scheduling Schemes with Energy Efficiency in Wireless Sensor Networks by Hongju Cheng, Ronglie Guo, Zhihuang Su, Naixue Xiong, Wenzhong Guo

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An Improved Finite-Set Predictive Control for Permanent Magnet Synchronous Motors Based on a Neutral-Point-Clamped Three-Level Inverter by Guozheng Zhang, Jiangyi Zhao, Yufei Liu, Xin Gu, Chen Li, Wei Chen

“…Meanwhile, the direction of the load current flowing to the neutral point and the voltage difference between the upper and lower capacitors are evaluated. As a result, redundant small vectors are effectively selected, reducing the number of candidate voltage vectors to six and avoiding the computation of all possible vectors. …”
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A novel frequency-domain approach to the range migration algorithm for efficient medical image processing: Application in tumor detection and identification by Jaouad El Gueri, Ibtisam Amdaouch, Badiaa Ait Ahmed, Juan Ruiz-Alzola, Otman Aghzout

“…A comprehensive complexity analysis was conducted to evaluate the algorithm’s efficiency and scalability, with a focus on computational time and resource utilization. …”
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Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications by Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César, Daniel Alves de Oliveira

“…This approach focuses on the use of interim representations of feature combinations to significantly speed up a potentially slow and computationally expensive process. This strategy is evaluated in several datasets against other feature selection methods, and the results indicate a significant reduction in the temporal costs associated with this process, achieving a mean percentage decrease of 85%. …”
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The Tangibilization of Indigenous Dances and the Rehearsal of a Similarity Model for Quantitative Analysis of Movement by Jorge Poveda, Rory Fewer, Benedikte Wallace

“…This article explores several tools of varied affordability within the field of computer-based technologies of human movement recognition as a means of responding to the current lack of protection extended to Indigenous dances. …”
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Theoretical Investigation of Heat Capacities as a Function Temperature of Stannous Selenide (SnSe) Using Einstein-Debye Approximation by Mehriban Emek, Ethem İlhan Şahin

“…A new alternative approach has been suggested for evaluating the heat capacities of stannous selenide (SnSe), based on the Einstein-Debye approximation. …”
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ReceiptQA: A Question-Answering Dataset for Receipt Understanding by Mahmoud Abdalla, Mahmoud SalahEldin Kasem, Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Abdelrahman Abdallah, Seung Hun Kang, Hyun Soo Kang

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On convex decision regions in deep network representations by Lenka Tětková, Thea Brüsch, Teresa Dorszewski, Fabian Martin Mager, Rasmus Ørtoft Aagaard, Jonathan Foldager, Tommy Sonne Alstrøm, Lars Kai Hansen

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Transforming Healthcare: A Comprehensive Review of Augmented and Virtual Reality Interventions by Aristeidis Petrakis, Lefteris Koumakis, Eleni Kazantzaki, Haridimos Kondylakis

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Application of SVM, FFNNs, k-NN and Their Ensembles for Identifying Functionally Reliable Systems by Oleg Barabash, Andriy Makarchuk, Pavlo Open’ko, Serhii Korotin

“…However, applying these indicators in real-world conditions requires significant computational resources. Therefore, there is a need to develop more optimized methods to evaluate whether a system is functionally stable or to improve existing ones. …”
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Deep Learning for Predicting the Difficulty Level of Removing the Impacted Mandibular Third Molar by Vorapat Trachoo, Unchalisa Taetragool, Ploypapas Pianchoopat, Chatchapon Sukitporn-udom, Narapathra Morakrant, Kritsasith Warin

“…The aim of this study was to develop and evaluate a computer-aided visualisation–based deep learning (DL) system using a panoramic radiograph to predict the difficulty level of surgical removal of an impacted LM3. …”
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A Temporal-Spectral Fused and Attention-Based Deep Model for Automatic Sleep Staging by Guidan Fu, Yueying Zhou, Peiliang Gong, Pengpai Wang, Wei Shao, Daoqiang Zhang

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