Pedagogical university students’ ethical attitudes and competences regarding artificial intelligence: An empirical study by Alicja Baum, Maria Trzcińska-Król

“…Students expressed more positive attitudes towards the benefits of AI (M = 3.22) than levels of understanding of its disadvantages (M = 2.72). Respondents rated their competences (M = 2.65) and knowledge (M = 2.85) regarding AI as below average. …”
Get full text

In2Se3 Synthesized by the FWF Method for Neuromorphic Computing by Jaeho Shin, Jingon Jang, Chi Hun Choi, Jaegyu Kim, Lucas Eddy, Phelecia Scotland, Lane W. Martin, Yimo Han, James M. Tour

“…By modulating the degree of polarization in α‐In2Se3 flakes according to the gate electrical pulses, these devices exhibit distinct essential synaptic behaviors. …”
Get full text

Temporal trends of carbon monoxide poisoning mortality at the global, regional and national levels: a cross-sectional study from the Global Burden of Disease study, 1990 and 2017 by Jie Liu, Junxiu Zhao, Jianhai Long, Yawei Sun, Xiaobo Peng

“…The overall ASR decreased by an average of 1.83% (95% CI 2.10% to 1.56%) per year in this period. This decreasing pattern was heterogeneous across ages, regions and countries. …”
Get full text

A “drop” in the atrioventricular conduction curve and dual-pathway electrophysiology by Youhua Zhang, MD, PhD

“…Background: Atrioventricular (AV) conduction time is rate-dependent. As the atrial coupling interval (A1A2) shortens, AV conduction time (A2H2) prolongs. …”
Get full text

Data Analysis and Forecasting of COVID-19 Pandemic in Kuwait Based on Daily Observation and Basic Reproduction Number Dynamics by Kayode Oshinubi, Fahima Al-Awadhi, Mustapha Rachdi, Jacques Demongeot

“…When the coronavirus pandemic began early in 2020, experts wondered if there would be waves of cases, a pattern seen in other virus pandemics. The overall pattern so far has been one of increasing cases of COVID-19 followed by a decline, and we observed a second wave of increased cases and yet we are still exploring this pandemic. …”
Get full text

OPTIMIZATION OF THE VACUUM-ASSISTED TREATMENT FOR COMPLICATIONS OF DIABETIC FOOT SYNDROME by V.I. Liakhovskyi, O.O. Kyzymenko, O.H. Krasnov, O.I. Krasnov, T.V. Horodova-Andrieieva

“…In the main group, the rate of wound reduction was greatest on the 8th-10th days, and in the comparison group – on the 14th-15th days. …”
Get full text

Design of an efficient multi-objective recognition approach for 8-ball billiards vision system by Jiaying Gao, Qiuyang He, Hong Gao, Zhixin Zhan, Zhe Wu

“…In the verification test, the trained CNN model shows a recognition rate of over 98.5%, and outperforms the other three classic methods. …”
Get full text

Mathematical model of the dependence between cerebral ventricular size and capillary pressure in laboratory animals by A. A. Cherevko, G. S. Valova, D. V. Petrovsky, A. E. Akulov

“…To describe the data obtained, the mathematical model was adapted by selecting a scale factor based on the known values of the cerebrospinal fluid formation rate for humans and mice. Results and discussion. …”
Get full text

Optimizing Cancer Detection: Swarm Algorithms Combined with Deep Learning in Colon and Lung Cancer using Biomedical Images by HariKrishna Pathipati, Lova Naga Babu Ramisetti, Desidi Narsimha Reddy, Swetha Pesaru, Mashetty Balakrishna, Thota Anitha

“…In addition, the OCDWO-DLCLC technique uses NASNet Mobile model for learning complex feature patterns. Also, the hybrid of convolutional bidirectional gated recurrent unit (CNN‐BiGRU) model was applied for classifying the existence of colon and lung cancer in the biomedical images. …”
Get full text

A Comprehensive Survey of Research Trends in mmWave Technologies for Medical Applications by Xiaoyu Zhang, Chuhui Liu, Yanda Cheng, Zhengxiong Li, Chenhan Xu, Chuqin Huang, Ye Zhan, Wei Bo, Jun Xia, Wenyao Xu

“…We introduce a taxonomy that decouples low-level mmWave signal features—such as motion, material property, and structure—from high-level biomedical biomarkers, including respiration pattern, heart rate, tissue hydration, and gait. We then classify and contrast the modeling approaches—ranging from physics-driven analytical models to machine learning techniques—that enable this mapping. …”
Get full text

China’s efforts on the CSEP and a retrospective case by Huaizhong Yu, Jingxue Zhang, Yue Liu, Yongxian Zhang, Chieh-Hung Chen, Rui Yan, Gang Li, Zeping Li, Yuchuan Ma, Zhengyi Yuan, Wen Yang, Donghui Jia, Binbin Zhao

“…In addition, several new methods, such as Crustal Vibration (CV), State Vector (SV), Earthquake Occurrence Rate (EOR), and Seismic Modulation Ratio (SMR) have also been involved. …”
Get full text

Analysis of Brain Activation and Effective Connectivity During Self-paced Unilateral and Bilateral Finger Tapping Using Functional Magnetic Resonance Imaging in Patients with Tempo... by Bazli Md Yusoff, Mohd Ezane Aziz, Aini Ismafairus Abd Hamid, Husbani Mohd Amin Rebuan, Muhammad Riddha Abdul Rahman

“…Results: Comparing the two groups, using two samples t-test, familywise error rate p<0.05. Healthy subjects showed more areas of significant activation. …”
Get full text

Diagnosis of Power Transformer On-Load Tap Changer Mechanical Faults Based on SABO-Optimized TVFEMD and TCN-GRU Hybrid Network by Shan Wang, Zhihu Hong, Qingyun Min, Dexu Zou, Yanlin Zhao, Runze Qi, Tong Zhao

“…The decomposed components undergo dual-stage temporal processing: A Temporal Convolutional Network (TCN) extracts multi-scale dependencies via dilated convolution architecture, followed by Gated Recurrent Unit (GRU) layers capturing dynamic temporal patterns. …”
Get full text

Malware-SeqGuard: An Approach Utilizing LSTM and GRU for Effective Detection of Evolving Malware in Android Environments by Muhammad Usama Tanveer, Kashif Munir, Abdulatif Alabdulatif, Anas R. Najdawi, Rutvij H. Jhaveri

“…In this study, we introduce a state-of-the-art scheme for Android malware detection that combines the strengths of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) networks. These advanced deep learning architectures are particularly adept at capturing sequential dependencies within data making them well-suited for analyzing complex time-series information, such as user behaviour patterns system logs and network traffic. …”
Get full text

East Asian aerosol cleanup has likely contributed to the recent acceleration in global warming by Bjørn H. Samset, Laura J. Wilcox, Robert J. Allen, Camilla W. Stjern, Marianne T. Lund, Sharar Ahmadi, Annica Ekman, Maxwell T. Elling, Luke Fraser-Leach, Paul Griffiths, James Keeble, Tsuyoshi Koshiro, Paul Kushner, Anna Lewinschal, Risto Makkonen, Joonas Merikanto, Pierre Nabat, Larissa Narazenko, Declan O’Donnell, Naga Oshima, Steven T. Rumbold, Toshihiko Takemura, Kostas Tsigaridis, Daniel M. Westervelt

“…Here we show, using a large set of simulations from eight Earth System Models, how a time-evolving 75% reduction in East Asian sulfate emissions partially unmasks greenhouse gas-driven warming and influences the spatial pattern of surface temperature change. We find a rapidly evolving global, annual mean warming of 0.07 ± 0.05 °C, sufficient to be a main driver of the uptick in global warming rate since 2010. …”
Get full text

Dual smart sensor data-based deep learning network for premature infant hypoglycemia detection by Muhammad Shafiq, J. Kavitha, Dhruva R. Rinku, N. K. Senthil Kumar, Kamal Poon, Amar Y. Jaffar, V. Saravanan

“…This device tracks changes in the infant’s motion, skin colour, and breathing patterns; this is done through a PPG sensor strapped either on the belly or chest of an infant, logging information on heart functioning. …”
Get full text

Transfer learning for securing electric vehicle charging infrastructure from cyber-physical attacks by Ahmad Almadhor, Shtwai Alsubai, Imen Bouazzi, Vincent Karovic, Monika Davidekova, Abdullah Al Hejaili, Gabriel Avelino Sampedro

“…The study also provides a comparison with different DL models such as Long Short-Term Memory (LSTM), Recurrent Neural Networks (RNN), Long Short-Term Memory-Recurrent Neural Networks (LSTM-RNN), and Gated Recurrent Unit (GRU). The CICEVSE2024 (EVSE-A and EVSE-B) datasets are used to assess the framework, where one dataset is used to train and store weights, and the second is used to evaluate the learned patterns using transfer learning. …”
Get full text

An Adaptive Convolutional Neural Network With Spatio-Temporal Attention and Dynamic Pathways (ACNN-STADP) for Robust EEG-Based Motor Imagery Classification by Aaqib Raza, Mohd Zuki Yusoff

“…The proposed model integrates a Dynamic Pathway Convolution Network (DPCN) for adaptive feature extraction, incorporating a Dynamic Gating Controller (DGC) and Dynamic Adaptive Spatio-Temporal (DAST) blocks to efficiently capture multi-scale spatial and temporal dependencies. …”
Get full text

Beta-adrenergic reactivity of erythrocyte membranes in adolescents with supraventricular and ventricular arrhythmias before and after radiofrequency ablation by Т. Yu. Rebrova, Yu. E. Perevoznikova, E. F. Muslimova, L. I. Svintsova, S. A. Afanasiev, O. Yu. Dzhaffarova

“…The study showed the possibility of using β-ARM to assess the state of the sympathetic nervous system in patients with methodological limitations in analyzing heart rate variability.…”
Get full text

A comprehensive machine learning for high throughput Tuberculosis sequence analysis, functional annotation, and visualization by Md. Saddam Hossain, Md. Parvez Khandocar, Farzana Akter Riti, Md. Yeakub Ali, Prithbey Raj Dey, S M Jahurul Haque, Amira Metouekel, Atrsaw Asrat Mengistie, Mohammed Bourhia, Farid Khallouki, Khalid S. Almaary

“…The World Health Organisation reported that in 2022, 1.3 million people died from tuberculosis, with the death rate potentially reaching 66% if proper treatment isn’t provided. …”
Get full text