Assessment of the effect of alpha-tocopherol on the course of newly diagnosed pulmonary sarcoidosis: a comparative study by A. A. Vizel, D. A. Culver, I. Yu. Vizel, G. R. Shakirova, E. A. Bakunina

“…The database was maintained and processed using SPSS-18, Windows 10. A clear advantage of vitamin E administration was revealed when comparing the data of computed tomography, which resulted in improvement in 87.5%, and the disease progressed in 2.5%, while in the group receiving no treatment – 60 and 12.5%, respectively. …”
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Extreme event attribution using km-scale simulations reveals the pronounced role of climate change in the Durban floods by Francois A. Engelbrecht, Jessica Steinkopf, Nicolette Chang, Sophie Biskop, Johan Malherbe, Christien J. Engelbrecht, Stefan Grab, Alize le Roux, Coleen Vogel, Jonathan Padavatan, Marcus Thatcher, John L. McGregor

“…The African-based attribution system makes use of a computationally-efficient variable-resolution atmospheric model and runs on a local high-performance computer in South Africa. …”
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Leveraging Extended Windows in End-to-End Deep Learning for Improved Continuous Myoelectric Locomotion Prediction by Yuzhou Lin, Yuyang Zhang, Wenjuan Zhong, Wenxuan Xiong, Zhen Xi, Yi-Feng Chen, Mingming Zhang

“…This study investigates whether end-to-end convolutional neural networks (CNNs) processing raw sEMG signals can overcome these constraints through extended window lengths (250 ms to 1500 ms). …”
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A Robust System for Super-Resolution Imaging in Remote Sensing via Attention-Based Residual Learning by Rogelio Reyes-Reyes, Yeredith G. Mora-Martinez, Beatriz P. Garcia-Salgado, Volodymyr Ponomaryov, Jose A. Almaraz-Damian, Clara Cruz-Ramos, Sergiy Sadovnychiy

“…Moreover, OARN achieves this performance while maintaining computational efficiency, offering a balanced trade-off between processing time and reconstruction quality.…”
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Dissociating social reward learning and behavior in alcohol use disorder by Simon Jangard, Björn Lindström, Lotfi Khemiri, Nitya Jayaram-Lindström, Andreas Olsson

“…Together, these results indicate that reward processes may not be relevant for understanding compromised social behavior in AUD.…”
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Dielectric constant prediction in polymers: A chemical structure based approach by S. Sharifi, S. Bonardd, L.A. Miccio

“…However, predicting the dielectric permittivity remains a challenge due to the complex interplay between molecular structure, processing conditions, and external factors such as temperature and frequency. …”
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Advanced evaluation of performance of machine learning models for soapstock splitting optimisation under uncertainty by Bartosz Szeląg, Krzysztof Barbusiński, Michał Stachura, Przemysław Kowal, Adam Kiczko, Eldon R. Rene

“…These findings underscore the importance of accurate phosphorus quantification and support the development of robust, data-efficient computational tools for the monitoring, prediction, and optimisation of complex industrial processes such as soapstock splitting.…”
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Efficient urinary stone type prediction: a novel approach based on self-distillation by Kun Liu, Xuanqi Zhang, Haiyun Yu, Jie Song, Tianxiao Xu, Min Li, Chang Liu, Shuang Liu, Yucheng Wang, Zhenyu Cui, Kun Yang

“…Deep learning has shown promise in classifying urolithiasis from CT images, yet faces challenges with model size and computational efficiency in real clinical settings. To address these challenges, we developed a non-invasive prediction approach for determining urinary stone types based on CT images. …”
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Artificial intelligence in CT diagnosis: Current status and future prospects for ear diseases by Ruowei Tang, Pengfei Zhao, Jia Li, Zhixiang Wang, Ning Xu, Zhenchang Wang

“…Furthermore, AI-driven natural language processing and large language models are revolutionizing the generation of radiology reports, providing accurate and standardized diagnostic information. …”
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The Value of Fractal Analysis in Ultrasound Imaging: Exploring Intricate Patterns by Carmelo Pirri, Nina Pirri, Veronica Macchi, Diego Guidolin, Andrea Porzionato, Raffaele De Caro, Carla Stecco

“…This analysis involves generating fractals through iterative processes or recursive equations, resulting in highly detailed and complex formations. …”
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Electron and Positron Collision with Plasma Wall Coating Elements by Balajee R, Yurekha S.P., Snigdha Sharma, Dhanoj Gupta

“…This study investigates and analyses the ICS, MTCS, VCS, ABSCS, and TCS of the atoms, Li, Be, B, Ti, and W, over a wide energy range. By employing the computational Optical Potential Method (OPM) and quantum scattering integrated in a computational package, ELSEPA (Elastic scattering of electrons and positrons by atoms, positive ions and molecules), the cross-sections of atoms by electron and positron impact are calculated. …”
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Semantic surprise predicts the N400 brain potential by Alma Lindborg, Lea Musiolek, Dirk Ostwald, Milena Rabovsky

“…A commonly studied electrophysiological measure of on-line meaning related processing is the N400 component, the computational basis of which is still actively debated. …”
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Incorporation of Greater Palatal Artery Pathway Projection into a Static Surgical Guide by Alexandru E. Petre, Andrei Macris, Cezar Ionita, Gabriel Cojocariu, Sergiu Drafta

“…The artery pathways were identified and marked on cone-beam computed tomography. A standard tessellation file format was obtained and uploaded into three-dimensional mesh-processing software; this was merged into an intraoral scan file. …”
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FUNCTIONAL BEAM RESEARCH METHODS IN THE DIAGNOSIS OF ABNORMAL MOBILITY OF KIDNEY by A. G. Tonyan, A. S. Tatevosyan, A. A. Khalapyan, V. L. Medvedev, A. V. Pomortsev

“…The methods of determining the angle of rotation according to the kidney excretory urography performed in wedge and orthostasis, ultrasound sonography, Doppler, dynamic indirect kidney scan and computed tomography. Statistical processing of the data using the package STATISTICA 6.0 software licensing and computer programs, correlation analysis, frequency and multiple correspondence analysis.The main results. …”
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Convolutional Neural Decoder for Surface Codes by Hyunwoo Jung, Inayat Ali, Jeongseok Ha

“…To perform reliable information processing in quantum computers, quantum error correction (QEC) codes are essential for the detection and correction of errors in the qubits. …”
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An interpretable and adaptable data-driven model for performance prediction in thermal plants by G. Prokhorskii, M. Preißinger, S. Rudra, E. Eder

“…To safely operate complex industrial systems such as thermal power plants, establishing reliable monitoring tools is paramount for better understanding the underlying processes. Data-driven models are a useful aid for monitoring and control of thermal power plants, but they require an effective feature selection to allow for an accurate, computationally efficient, and interpretable model. …”
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MSFF-Net: Multi-Sensor Frequency-Domain Feature Fusion Network with Lightweight 1D CNN for Bearing Fault Diagnosis by Miao Dai, Hangyeol Jo, Moonsuk Kim, Sang-Woo Ban

“…The results validate the effectiveness, computational efficiency, and practical applicability of the model for deployment in data-constrained industrial environments.…”
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Infrared Small Target Detection Based on Approximate Background Regularization and Bimodal Slice Based Graph Constraints by Xiaoling Ge, Zipeng Fu, Xuelian Yu, Weixian Qian, Kan Ren, Minjie Wan, Guohua Gu

“…However, most of the existing methods face real-time processing challenges due to the high cost of singular value decomposition and additional regularization terms that increase computational complexity. …”
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Efficient Software Development Effort Estimation Approaches for Improving Scalability in the Training Phase by Ho Le Thi Kim Nhung, Petr Silhavy, Radek Silhavy

“…Unlike approaches that depend on randomness or are computationally intensive, CICC uses parallel processing of Jaccard similarity and a refined neighbor-finding technique, K-Reciprocal Nearest Neighbors (KRNN), to identify the most relevant and similar projects as initial centers. …”
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Enhanced Adaptive Sine Multi-Taper Power Spectral Density Estimation for System Performance Evaluation in Low-Frequency Gravitational Wave Detection by Caiyun Liu, Yang Li, Changkang Fu, Hongming Zhang, Qiang Wang, Dong He, Yongmei Huang

“…By balancing the relationship between bias and variance, this approach facilitates gradient processing of the cone number specifically tailored for low-frequency signals. …”
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