Valvular Heart Disease In Antiphospholipid Syndrome (Review) by G. A. Ignatenko, G. G. Taradin, L. V. Kononenko, I. V. Rakitskaya, Y. S. Kagitina, B. D. Prendergast

“…In addition to epidemiological data and classification criteria for APS, information is provided on the prevalence, pathogenetic mechanisms, and pathomorphological features of VHD, which is characterized by verrucous endocarditis (or Libman-Sacks endocarditis), thickening of the leaflets and valve dysfunction. …”
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THEORETICAL PRINCIPLES OF ASSESSING THE SOCIAL SECURITY OF THE REGION by Galyna Nazarova, Kateryna Demchenko

“…The following methods are used: method of analysis and synthesis, classification-analytical method, abstract-logical method, historical-retrospective analysis and generalization. …”
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SOCIAL INNOVATIONS IN THE EDUCATIONAL SPACE AS A DRIVER OF ECONOMIC DEVELOPMENT OF MODERN SOCIETY by I. Sysoieva, N. Poznyakovska, O. Balaziuk, O. Miklukha, L. Akimova, B. Pohrishchuk

“…Keywords: social sphere, innovations, innovation project, rating of world innovations, investments, sustainable development, innovations in education.  JEL Classification M41, H20, Н44, А1 Formulas: 0; fig.: 1; tabl.: 7; bibl.: 13. …”
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BrainNet: an automated approach for brain stress prediction utilizing electrodermal activity signal with XLNet model by Liao Xuanzhi, Abeer Hakeem, Linda Mohaisen, Muhammad Umer, Muhammad Attique Khan, Shrooq Alsenan, Shtwai Alsubai, Nisreen Innab

“…When applied to the binary classification of stress and no stress using the Swell dataset, the model achieves an outstanding accuracy of 97.19%. …”
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Adaptive GCN and Bi-GRU-Based Dual Branch for Motor Imagery EEG Decoding by Yelan Wu, Pugang Cao, Meng Xu, Yue Zhang, Xiaoqin Lian, Chongchong Yu

“…Experimental results demonstrate that our method achieves an average classification accuracy of 80.38% on the BCI-IV Dataset 2a and 87.49% on the BCI-I Dataset 3a, outperforming other state-of-the-art decoding approaches. …”
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Online citizen science in higher education courses by Stacy R. Cotey, Amy K. Dunbar‐Wallis, Yaela N. Golumbic, Pankaj Mehrotra, David A. Beamer, Heather D. Vance‐Chalcraft

“…Abstract Climate change and biodiversity loss require us to engage the next generation of scientists in addressing global ecological issues. Introducing undergraduate students to citizen science allows them to learn scientific processes and content while contributing to real‐world applications. …”
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To Help the Practitioner: Imaging of Ovarian Masses According to the O-RADS MRI Ovarian Malignancy Categorical Risk Scale by S. P. Aksenova, N. V. Nudnov, A. V. Slanskaya, V. A. Solodkiy

“…Researchers’ mistakes were analyzed, as well as controversial issues of categorial affiliation of ovarian masses that caused false positive and false negative results. …”
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Stain Normalization of Histopathological Images Based on Deep Learning: A Review by Chuanyun Xu, Yisha Sun, Yang Zhang, Tianqi Liu, Xiao Wang, Die Hu, Shuaiye Huang, Junjie Li, Fanghong Zhang, Gang Li

“…However, color variations caused by differences in tissue preparation and scanning devices can lead to data distribution discrepancies, adversely affecting the performance of downstream algorithms in tasks like classification, segmentation, and detection. To address these issues, stain normalization methods have been developed to standardize color distributions across images from various sources. …”
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Leveraging Cross-Project Similarity for Data Augmentation and Security Bug Report Prediction by Jinfeng Ji, Geunseok Yang

“…This approach can help developers detect security-related issues more effectively, reduce the risk of misclassification, and enhance overall software security.…”
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Scientific Opinion on the use of animal‐based measures to assess welfare of dairy cows by EFSA Panel on Animal Health and Welfare (AHAW)

“…Others can only be used for welfare assessment if collected over a long period, in which case they are best taken from historical records or recording systems. For an overall classification of welfare, a wide range of measures is needed. …”
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Fully invertible hyperbolic neural networks for segmenting large-scale surface and sub-surface data by Bas Peters, Eldad Haber, Keegan Lensink

“…The large spatial/temporal/frequency scale of geoscience and remote-sensing datasets causes memory issues when using convolutional neural networks for (sub-) surface data segmentation. …”
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A Comprehensive Video Dataset for Surgical Laparoscopic Action Analysis by Zi Ye, Ru Zhou, Zili Deng, Dan Wang, Ying Zhu, Xiaoli Jin, Lijun Zhang, Tianxiang Chen, Hanwei Zhang, Mingliang Wang

“…To address the above issues, we developed the SLAM dataset (Surgical LAparoscopic Motions), which encompasses various surgical types such as laparoscopic cholecystectomy and appendectomy. …”
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A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images by Shen Wen, Dong Zhang, Yuting Lei, Yan Yang

“…Finally, the superpixels are merged based on the classification results to obtain the tumor region, achieving automatic tumor region segmentation. …”
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The Role of Active Packaging in the Defense Against Foodborne Pathogens with Particular Attention to Bacteriophages by Rajesh V. Wagh, Ruchir Priyadarshi, Ajahar Khan, Zohreh Riahi, Jeyakumar Saranya Packialakshmi, Pavan Kumar, Sandeep N. Rindhe, Jong-Whan Rhim

“…Despite their potential, issues such as stability, regulatory hurdles, and consumer acceptance remain critical considerations. …”
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Predicting noncoding RNA and disease associations using multigraph contrastive learning by Si-Lin Sun, Yue-Yi Jiang, Jun-Ping Yang, Yu-Han Xiu, Anas Bilal, Hai-Xia Long

“…Nevertheless, most existing methods face two major issues: low prediction accuracy and the limitation of only being able to predict a single type of noncoding RNA-disease association. …”
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Global Remote Sensing Research: An Author‐Centric Analysis of Contributions and Trends by Ehsan Rahimi, Chuleui Jung

“…These gaps limit the field's ability to effectively address pressing environmental issues and foster innovation in related applications, particularly in conservation. …”
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An Attention-based Model for Recognition of Facial Expressions Using CNN-BiLSTM by Sushil Kumar Singh, Manish Kumar, Ikram Majeed Khan, A. Jayanthiladevi, Chirag Agarwal

“…The model then utilizes DenseNet and Softmax for image reconstruction, improving feature maps and providing essential data for classification tasks on the FER2013 and CK þ datasets. …”
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Adaptive Select Loss Strategy for Semantic Segmentation of Agricultural Crop Images by Corneliu Florea, Laura Florea, Mihai Ivanovici

“…While Top-k loss was originally designed for classification tasks, ASL is specifically tailored for semantic segmentation. …”
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Status and Development Prospects of Solar-Powered Unmanned Aerial Vehicles—A Literature Review by Krzysztof Sornek, Joanna Augustyn-Nadzieja, Izabella Rosikoń, Róża Łopusiewicz, Marta Łopusiewicz

“…First, the general classification of unmanned aerial vehicles is presented. …”
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A CASE REPORT: EARLOBE RECONSTRUCTION ON CONGENITAL AURICULAR LOBE DEFECT USING Z-PLASTY by Nida' Fahima Amatullah, Iswinarno Doso Saputro

“…This study aimed to address these issues by performing auricular lobuloplasty using a Z-plasty flap technique. …”
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