An Unsupervised Integrated Framework for Arabic Aspect-Based Sentiment Analysis and Abstractive Text Summarization of Traffic Services Using Transformer Models by Alanoud Alotaibi, Farrukh Nadeem

“…To tackle these challenges, we suggest an integrated framework combining unsupervised BERTopic-based Aspect Category Detection with distance supervision using a fine-tuned CAMeLBERT model for sentiment classification. This is further complemented by transformer-based summarization through a fine-tuned AraBART model. …”
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Towards generalizable machine learning prediction of downskin surface roughness in laser powder bed fusion by Jigar Patel, Mihaela Vlasea, Sagar Patel

“…Additionally, this study highlights critical issues such as data imbalance, generalization to unseen data, and the importance of rigorous evaluation. …”
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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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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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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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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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Minding the gap. Drug-related problems among breastfeeding women by Karolina Morze, Edyta Szałek, Magdalena Waszyk-Nowaczyk

“…Among all identified causes (n = 265), the most common were patient-related factors (47.5%, n = 126) and dispensing-related issues, particularly regarding the information provided to patients about medication safety during lactation. …”
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A Novel Biclustering Algorithm Based on Differential Sparsity Constraints and Dynamic Graph Regularization for Cancer Gene Expression Data by Dan Li, Peicong Song, Jia Wang

“…Biclustering is an effective method for identifying biologically significant gene modules, which aims at extracting gene modules enriched with more information and achieving accurate cancer subtype classification. However, most biclustering algorithms based on sparse singular value decomposition overlook the differences in sparsity between gene and sample dimensions in real cancer gene expression data. …”
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Assessing Utilization of Information Access Tools in Academic Libraries: A Case Study of National Teachers College Kabale. by Arimpwera, Phiona

“…A qualitative case study research design was preferred because it helped the researcher to study the selected issues in depth. The sample size comprised of 180 respondents. …”
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Stakeholder Relationships in the Framework of R&D-based Startups: Evidence from Turkey by Elif Kalayci

“…Then, it presents the methodology, classification and analysis of in-depth interviews with the founders of R&D-based startups, which help justify the use of a qualitative approach. …”
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CXR-Seg: A Novel Deep Learning Network for Lung Segmentation from Chest X-Ray Images by Sadia Din, Muhammad Shoaib, Erchin Serpedin

“…Despite progress, these issues highlight the need for improved approaches to overcome segmentation difficulties and enhance diagnostic reliability. …”
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How Predictable Is Electric Vehicle Adoption? Exploring the Broader Role of Renewables in Transportation Using a Data-Driven Approach by Simona-Vasilica Oprea, Adela Bara

“…This study harnesses data from a questionnaire carried out in May 2022 from the Pew Research Center to explore energy sources, climate change issues and factors influencing the adoption of Electric Vehicles (EVs). …”
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Unveiling construction accident causation: a scientometric analysis and qualitative review of research trends by Haoyu Zang, Ming Li, Zhiyao Jin, Jingfei Huang

“…In addition, a qualitative synthesis was conducted to review common data sources and examine key issues, including risk factor identification, accident type classification, causality analysis, and the optimization of research strategies. …”
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Ontology of the problem of professional competence of future foreign language teachers in India by Lina E. Belovetskaia

“…It concerns not only the issues of linguistic training, but also the social, cultural and economic aspects of the country’s educational system. …”
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A simple interpolation-based data augmentation method for implicit sentiment identification by Yuxia Zhao, Mahpirat Mamat, Alimjan Aysa, Kurban Ubul

“…Second, implicit sentiment text is prone to overfitting the model due to the lack of training data, which requires a lot of specialized domain knowledge for the label annotation work, resulting in a lack of training data. To address these issues, we propose a simple but effective interpolation-based data augmentation method for implicit sentiment identification (ISIMIX). …”
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¿Pierde atractivo el Mercado Bursátil Nacional? by Isabel Barrientos Blanco, Herla Pineda Segura, Carlos Alberto Valverde Brealey

“…The fact that since 2001, 24 companies have chosen to un-register in the stock market as debt bond issuers and many others currently registered have not issued bonds recently seems to show that something is not functioning properly. …”
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RST-YOLOv8: An Improved Chip Surface Defect Detection Model Based on YOLOv8 by Wenjie Tang, Yangjun Deng, Xu Luo

“…Additionally, we employ the SimAM attention mechanism, enabling the model to learn three-dimensional channel information, thereby strengthening its perception of defect characteristics. To address the issues of missed detections and false detections of small targets in chip surface defect detection, we designed a task-aligned dynamic detection head (TADDH) to facilitate interaction between the localization and classification detection heads. …”
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<p><strong>A catalogue of the Iranian Mesostigmata (Acari) excluding Phytoseiidae</strong></p> by Elham Riahi, Alireza Nemati

“…Relevant explanations for each taxon concerning different issues are cited as note(s) under the related taxon. …”
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MedAlmighty: enhancing disease diagnosis with large vision model distillation by Yajing Ren, Zheng Gu, Wen Liu

“…This approach offers a promising solution to data scarcity and domain gap issues in medical imaging. Future work may explore extending this distillation strategy to other medical modalities and incorporating multimodal alignment for even richer representation learning.…”
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Medical Image Segmentation Algorithm Based on Optimized Convolutional Neural Network-Adaptive Dropout Depth Calculation by Feng-Ping An, Jun-e Liu

“…Traditional machine learning methods have achieved certain beneficial effects in medical image segmentation, but they have problems such as low classification accuracy and poor robustness. Deep learning theory has good generalizability and feature extraction ability, which provides a new idea for solving medical image segmentation problems. …”
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