Enhancing Underwater Video from Consecutive Frames While Preserving Temporal Consistency by Kai Hu, Yuancheng Meng, Zichen Liao, Lei Tang, Xiaoling Ye

“…Current methods for underwater image enhancement primarily focus on single-frame processing. While these approaches achieve impressive results for static images, they often fail to maintain temporal coherence across frames in underwater videos, which leads to temporal artifacts and frame flickering. …”
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AI Scribes in Health Care: Balancing Transformative Potential With Responsible Integration by Tiffany I Leung, Andrew J Coristine, Arriel Benis

“…To advance our collective understanding and address key issues, JMIR Medical InformaticsJMIR Medical Informatics…”
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Associations of genetic markers of the sympathoadrenal system and endothelial dysfunction with coronary heart disease on the example of a small Shoriya population by E. V. Mikhalina, T. A. Mulerova, V. N. Maksimov, M. I. Voevoda, M. Yu. Ogarkov

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Aurel_AI: Automating an Institutional Help Desk Using an LLM Chatbot by Diego Ordóñez-Camacho, Rafael Melgarejo-Heredia, Mohsen Abbasi, Lucía González-Solis

“…The information includes details about academic programs, regulations, processes, and personnel. Aurel_AI is part of a broader research program on the use of AI in academia. …”
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BioLake: an RNA expression analysis framework for prostate cancer biomarker powered by data lakehouse by Qiaowang Li, Yaser Gamallat, Jon George Rokne, Tarek A. Bismar, Reda Alhajj

“…In summary, BioLake offers a lightweight online tool to facilitate bioinformatic mRNA data analysis with the support of custom online data processing.…”
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Research on Indoor Object Detection and Scene Recognition Algorithm Based on Apriori Algorithm and Mobile-EFSSD Model by Wenda Zheng, Yibo Ai, Weidong Zhang

“…With the advancement of computer vision and image processing technologies, scene recognition has gradually become a research hotspot. …”
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An Iterative Adaptive Polarization Calibration Method Independent of Corner Reflectors by Bowen Chi, Jixian Zhang, Guoman Huang, Lijun Lu, Shucheng Yang

“…Polarimetric calibration (PolCal) is essential for the quantitative processing of polarimetric synthetic aperture radar data. …”
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DSF-YOLO for weld defect detection in X-ray images with dynamic staged fusion by Meng Zhang, Yanzhu Hu, Binbin Xu, Lisha Luo, Song Wang

“…Abstract Weld defect detection poses significant challenges including ambiguous boundaries, diverse defect shapes, and the requirement for precise localization. To address these issues, we propose DSF-YOLO, a novel framework specifically designed for pipeline weld defect detection. …”
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Effect of Post-Aging on Laser-Boronized Surface of 18Ni-300 Maraging Steel with Hypoeutectic Structure by Jelena Škamat, Olegas Černašėjus, Kęstutis Bučelis, Oleksandr Kapustynskyi

“…Two main issues are addressed, namely (i) the possibility to restore the hardness of the heat-affected zone (HAZ) formed during laser processing and (ii) the effect of re-aging on the hardness and wear resistance of the laser-boronized layer with a hypoeutectic structure. …”
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Improving Nutrition Facts of Cassava and Soybean Residue Through Solid-State Fermentation by <i>Pleurotus ostreatus</i> Mycelium: A Pathway to Safety Animal Feed Production by Nguyen Thi Bich Hang, Chi Cuong Doan

“…The prebiotic activity of extracted PS was greatest in <i>P. acidilactici</i> NBD8 (1.58); for <i>L. pentosus</i> NH1, <i>L. argentoraten</i> NH15, and <i>L. plantarum</i> WCFS1 strains, the indices were 0.11, 0.17, and 0.3, respectively. The SSF process with <i>P. ostreatus</i> mycelium has the potential to be an effective method for improving the nutrition and digestibility of soybean and cassava residues for application in the production of nature-derived animal feed, as well as contributing to fully utilized agricultural residue, agriculture’s circular economy, reducing environmental issues, and achieving the net-zero carbon emissions target by 2050, as the Vietnam government committed to achieving during the COP26 World Leaders’ Summit in 2021.…”
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PA2E: Real-Time Anomaly Detection With Hyperspectral Imaging for Food Safety Inspection by Jungi Lee, Myounghwan Kim, Jiseong Yoon, Kwangsun Yoo, Seok-Joo Byun

“…To address these issues, we propose a novel model called Partial and Aggregate Autoencoder (PA2E), which incorporates local information without transform invariance and utilizes masked fully connected layers to achieve high inference speed. …”
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Computer-Vision-Aided Deflection Influences Line Identification of Concrete Bridge Enhanced by Edge Detection and Time-Domain Forward Inference by Jianfeng Chen, Long Zhao, Yuliang Feng, Zhiwei Chen

“…Furthermore, an axle weight ratio reduction coefficient is proposed to mitigate noise amplification issues, ensuring that the weight of the preceding axle surpasses that of any other axle. …”
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Detecting Throat Cancer From Speech Signals Using Machine Learning: A Scoping Literature Review by Mary Paterson, James Moor, Luisa Cutillo

“…This review aims to fill this gap by evaluating how these technologies perform and identifying issues that need to be addressed in future research. …”
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Automatic Detection of Laparoscopic Videos Distortion Using Machine Learning Classification by Mohamed Belmokeddem, Kamila Khemis, Salim Loudjedi

“…Real-time laparoscopic video frequently encounters issues such as blur and smoke, often stemming from lens contamination. …”
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Contemporary digital sociology in search of meaning-making models: the proper and the actual. Review on articles from the research handbook of digital sociology edited by J. Skopek... by E. V. Andrianova, V. A. Davydenko, A. I. Rozmanov

“…Skopek, provides a critical analysis of this field, encompassing studies on digital society, digital life, digital engagement, digital scientific and technological changes, and their consequences, alongside many related pressing issues. The book is both empirically oriented and fundamentally robust, maintaining its analytical and scientific depth. …”
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A fast retrieval method for multilevel redundant data in grid resource business middle office based on improved decision tree algorithm by Wei Sun, Hui Liu, Yu Wang, Weihao Shi, Xiao Wang, Zhiwei Zou

“…Abstract The current power grid business handles massive data operations where data retrieval frequently encounters redundancy issues. Conventional decision tree-based methods struggle to achieve accurate data acquisition when facing redundant interference. …”
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THE RELEVANCE OF RAISING AWARENESS OF PHARMACEUTICAL WORKERS ON HIV INFECTION by Андрей Георгиевич Петров, Галина Тихоновна Глембоцкая, Ольга Владимировна Хорошилова, Сергей Николаевич Филимонов, Виктор Андреевич Семенихин

“…Disclosure of the professional capabilities of pharmaceutical workers in the field of prevention and anti-epidemic work of HIV infection (infection caused by human immunodeficiency virus) is possible only through raising awareness of pharmaceutical workers on this problem. Currently, the issues of HIV infection are very relevant, due to the adverse reactions that occur in patients after taking medications. …”
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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

“…The framework significantly enhances smart city traffic management by enabling automated processing of citizen feedback, supporting data-driven decision-making, and allowing authorities to monitor public sentiment, identify emerging issues, and allocate resources based on citizen needs, ultimately improving urban mobility and service responsiveness.…”
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Automating Monte Carlo simulations in nuclear engineering with domain knowledge-embedded large language model agents by Zavier Ndum Ndum, Jian Tao, John Ford, Yang Liu

“…Yet, traditional workflows for Monte Carlo simulations like FLUKA are labor-intensive and error-prone, relying on manual input file generation and post-processing. This limits scalability and efficiency. …”
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SDPSNet: An Efficient 3D Object Detection Based on Spatial Dynamic Pruning Sparse Convolution and Self-Attention Feature Diffusion by Meng Wang, Qianlei Yu, Haipeng Liu

“…However, existing detectors are faced with challenges due to redundant overhead when processing large amounts of background points in the depth perception field, and insufficient feature mapping in the central regions of large objects. …”
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