A 3D Simulation of a Type II-P Supernova: From Core Bounce to beyond Shock Breakout by David Vartanyan, Benny T.-H. Tsang, Daniel Kasen, Adam Burrows, Tianshu Wang, Lizzy Teryoshin

“…Our case study of a single progenitor underscores that 3D simulations generically produce the cornucopia of observed asymmetries and features in CCSNe observations, while establishing the methodology to study this problem in breadth.…”
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Venous Thromboembolic Complications in Patients with Acute Chemical Poisoning by M. V. Belova, K. K. Ilyashenko, G. N. Sukhodolova, E. V. Kungurtsev, A. V. Polunin, M. M. Potskhveriya, A. Yu. Simonova

“…Venous thromboembolic complications (VTEC) occur in patients hospitalized with various pathologies, complicate treatment and increase mortality. This problem has not received enough attention in toxicology.AIM OF THE STUDY. …”
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Consistency Regularization for Semi-Supervised Semantic Segmentation of Flood Regions From SAR Images by G. Savitha, S. Girisha, Pundarika Sughosh, Dasharathraj K. Shetty, Jayaraj Mymbilly Balakrishnan, Rahul Paul, Nithesh Naik

“…Accurately defining the extent of floods is a problem for traditional flood mapping approaches, which emphasizes the vital need for modern technologies such as Synthetic Aperture Radar (SAR) imaging. …”
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Abnormal intrinsic functional hubs and connectivity in nurses with occupational burnout: a resting-state fMRI study by Jian-Ping Liu, Jian-Ping Liu, Si-Yu Gu, Chun-Mei Song, Hu-Cheng Yang, Yang Shi, Yu-Fang Gu, Shu-Fang Wang, Ying-Zhu Chen

“…BackgroundOccupational burnout is a significant problem among nurses, linked to negative outcomes. …”
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Hybrid Channel Attention Regression U-Net (ARU-Net): An Enhanced Architecture for Brain Tumour Segmentation in Magnetic Resonance Imaging by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Zain Anwar Ali, Muhammad Ovais Akhter, Ahmed Alsanad, Areej Abdullah Alhogail, Abdu H. Gumaei

“…On the other hand, the channel-wise attention part, the Squeeze-and-Excitation (SE) blocks, recalibrates channel-wise feature responses for higher emphasis on salient features. …”
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BirdRecon: A free open source tool for image based bird species recognition by Hari Kishan Kondaveeti, Nabin Kumar Upadhaya, Dheeraj Sai Tukkugudam, Rahul Panigrahi, Sirivella Madhan Chandra Mouli, Valli Kumari Vatsavayi, Nagendra Panini Challa

“…To address class imbalance problem and enhance generalization, data augmentation is applied and an early stopping optimization strategy is used to prevent overfitting during training. …”
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Application of a Low-dissipation HLLD Approximate Riemann Solver to Solar Wind Simulations by Caixia Li, Zhenning Shen, Man Zhang, Xueshang Feng

“…Prior to the solar wind simulation, the accuracy and robustness of the numerical method are verified through benchmark tests, including the smooth Alfvén wave problem, the Mach 800 dense MHD jet, and the MHD blast wave in spherical polar coordinates. …”
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Structure-Texture Dual Preserving for Remote Sensing Image Super Resolution by Kanghui Zhao, Tao Lu, Yanduo Zhang, Junjun Jiang, Zhongyuan Wang, Zixiang Xiong

“…Finally, we explore the salient features of the image and its edges in the ascending space, and restored the difference between LR and HR images by residual and dense learning. …”
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Optimized hybrid machine learning framework for early diabetes prediction using electrogastrograms by Paramasivam Alagumariappan, Malathy Sathyamoorthy, Rajesh Kumar Dhanaraj, K. Kamalanand, C. Emmanuel, Sarah Allabun, Manal Othman, Masresha Getahun, Ben Othman Soufiene

“…Abstract In recent years, diabetes has become a global public health problem, and it is reported that the migrant Indians have more prevalence rate of Type-II diabetes. …”
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A novel dynamic machine learning-based explainable fusion monitoring: application to industrial and chemical processes by Husnain Ali, Rizwan Safdar, Yuanqiang Zhou, Yuan Yao, Le Yao, Zheng Zhang, Weilong Ding, Furong Gao

“…The methodology aims to detect faults, identify their key causes and feature variables, and analyze the root path of fault propagation with the time and magnitude of one cause variable to another impact. …”
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A novel prediction of the PV system output current based on integration of optimized hyperparameters of multi-layer neural networks and polynomial regression models by Hussein Mohammed Ridha, Hashim Hizam, Seyedali Mirjalili, Mohammad Lutfi Othman, Mohammad Effendy Ya’acob, Noor Izzri Bin Abdul Wahab, Masoud Ahmadipour

“…The experimental results demonstrated that the proposed IMGO algorithm is very effective in addressing complex problems with high accuracy, capability, and speedy convergence. …”
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An Evolutionary Toolchain for Morphological Filter Mapping on Many-Core Architectures by Emerson C. Pedrino, Denis P. Lima, Igor F. Gallon, Valentin O. Roda, Naijia Liu, Gianluca Tempesti

“…A set of standard benchmark applications was used to determine the optimal parameters for the algorithms, which were then validated on two real-world application examples involving the detection of features in high-resolution PCB images. Two application mapping experiments focusing on energy constraints were conducted, in which the proposed procedure was compared to deterministic mapping techniques. …”
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Improved YOLOv8 Model for Multi-type Lung Nodule Detection by BAO Qiangqiang, TANG Siyuan, LI Qingqian, WANG Naiyu, YANG Min, GU Yu, ZHAO Jinliang, GAO Jingbo, WANG Jiaxin, QU Yuhan

“…Then, the KAN network is integrated into the model further to improve the detection accuracy of tiny lung nodules and enhance the generalization ability of the model based on the strong learning ability of nonlinear features of the KAN network. Finally, based on the Inner-IoU auxiliary frame idea, the CIoU loss function is improved to solve the problem of unfixed lung nodule scale and enhance the model detection accuracy. …”
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Deep Learning Model for Precipitation Nowcasting Based on Residual and Attention Mechanisms by Zhan Zhang, Qingping Song, Minzheng Duan, Hailei Liu, Juan Huo, Congzheng Han

“…The model introduces the residual neural network (ResNet) and the convolutional block attention module (CBAM) to integrate multi-scale features into the U-Net encoder–decoder architecture, enhancing its ability to capture the spatiotemporal evolution of precipitation systems. …”
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RSPS-SAM: A Remote Sensing Image Panoptic Segmentation Method Based on SAM by Zhuoran Liu, Zizhen Li, Ying Liang, Claudio Persello, Bo Sun, Guangjun He, Lei Ma

“…Firstly, to address the problem of global information loss caused by cropping large remote sensing images for training, a Batch Attention Pyramid was designed to extract multi-scale features from remote sensing images and capture long-range contextual information between cropped patches, thereby enhancing the semantic understanding of remote sensing images. …”
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Severe pneumonia in HIV/COVID-19 co-infection (case study) by Z. G. Tagirova, Zh. B. Ponezheva, V. V. Makashova, S. V. Shabalina, S. A. Magomedova, Z. M. Danialbekova, I. T. Shakhbanov

“…The interaction of HIV and SARS-CoV-2, pathogenetic features, clinical manifestations of co-infection remain a relevant topic for modern research and observations. …”
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Single Cell Transcriptomic Profiling of MYBPC3‐Associated Hypertrophic Cardiomyopathy Across Species Reveals Conservation of Biological Process But Not Gene Expression by Samia A. Ali, Gayani Perera, Jason Laird, Rebecca Batorsky, Martin S. Maron, Victor N. Rivas, Joshua A. Stern, Samantha Harris, Michael T. Chin

“…HCM is also a common veterinary clinical problem in certain cat breeds such as Maine Coons and Ragdolls, also most associated with mutations in MYBPC3. …”
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Hybrid Wavelet-Attention Model for Detecting Changes in High-Resolution Remote Sensing Images by Lhuqita Fazry, MGS M. Luthfi Ramadhan, Alif Wicaksana Ramadhan, Muhammad Febrian Rachmadi, Aprinaldi Jasa Mantau, Lukito Edi Nugroho, Chi-Hung Chi, Wisnu Jatmiko

“…However, this causes information loss, resulting in a trade-off between the effectiveness and efficiency of the method. To solve the problem, we developed a new change detection method called WaveCD. …”
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Transformed common spatial pattern for motor imagery-based brain-computer interfaces by Zhen Ma, Kun Wang, Minpeng Xu, Minpeng Xu, Minpeng Xu, Weibo Yi, Fangzhou Xu, Dong Ming, Dong Ming

“…However, it highly depends on the selection of EEG frequency bands. To address this problem, previous researchers often used a filter bank to decompose EEG signals into multiple frequency bands before applying the traditional CSP.ApproachThis study proposed a novel method, i.e., transformed common spatial pattern (tCSP), to extract the discriminant EEG features from multiple frequency bands after but not before CSP. …”
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Current Scales and Questionnaires for Assessing Stress Conditions and Their Application in Medicine: a Review by Anna A. Kuzyukova, Yana G. Pekhova, Olga I. Odarushenko, Natalia A. Levchenko, Larisa A. Marchenkova

“…The search and development of optimal diagnostic methods for stress-related psychosomatic disorders remains a very important and urgent problem. AIM. The current scales and questionnaires for stress diagnosis, to evaluate the features of their presentation of vegeto-somatic symptoms of stress and the possibility of their use to identify stressful conditions in medical institutions. …”
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