Multimodal AI-driven object detection with uncertainty quantification for cardiovascular risk assessment in autistic patients by Ling Tang, Chengchao Shen

“…However, traditional diagnostic approaches for cardiovascular risk assessment in autistic patients remain limited due to the complexity of medical data, inter-individual variability, and the challenges of integrating multi-modal clinical information. …”
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Solvability and Nilpotency of Lie Algebras in Cryptography and Steganography by Amor Hasić, Melisa Azizović, Emruš Azizović, Muzafer Saračević

“…A detailed security analysis is provided, including resistance to classical attacks and discussion of post-quantum considerations. …”
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Characterizing the particulate content of urine in healthy humans using flow cytometry. by Sigal Hirsch, Ziv Porat, Ishai Dror, Yaniv Shilo, Brian Berkowitz

“…This method enabled the identification and quantification of total particles within a sample, as well as the characterization of specific subtypes, including lipid-associated particles, protein aggregates, lipid-protein complexes, particles containing calcium (such as calcium oxalate crystals), DNA-containing particles (including cells and bacteria), and crystalline structures. …”
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Investigating Delayed Rupture of Flow Diverter-Treated Giant Aneurysm Using Simulated Fluid–Structure Interactions by Pablo Jeken-Rico, Yves Chau, Aurèle Goetz, Jacques Sedat, Elie Hachem

“…The underlying mechanisms of these ruptures remain unknown, due to the biomechanical complexity of giant aneurysms and challenges in replicating in vivo hemodynamic conditions within numerical simulation frameworks. …”
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Challenges in diagnosing and treating distal common bile duct adenocarcinoma: A case report with literature insights by Sakhr Alshwayyat, Hamdah Hanifa, Yamen Alshwaiyat, Mustafa Alshwayyat, Hussein Alhussein, Malak Abu-Naja, Tala Abdulsalam Alshwayyat, Basil Alsaleh, Mohammad Shafa’a, Muhammad Fadi Alkurdi

“…Conclusion This case highlights the diagnostic complexity of distal CBD adenocarcinoma, particularly in patients with delayed symptoms. …”
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CLUMM: Contrastive Learning for Unobtrusive Motion Monitoring by Pius Gyamenah, Hari Iyer, Heejin Jeong, Shenghan Guo

“…To address these limitations, this paper introduces a novel framework that leverages a contrastive learning approach to learn rich representations from raw images without the need for manual labeling. This framework mitigates the effect of environmental complexity by focusing on critical joint coordinates relevant to manufacturing tasks. …”
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Mechanisms of sand production, prediction–a review and the potential for fiber optic technology and machine learning in monitoring by Dejen Teklu Asfha, Abdul Halim Abdul Latiff, Daniel Asante Otchere, Bennet Nii Tackie-Otoo, Ismailalwali Babikir, Muhammad Rafi, Zaky Ahmad Riyadi, Ahmad Dedi Putra, Bamidele Abdulhakeem Adeniyi

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The role of consumers’ visual attention stimuli in advertising: traditional and neuromarketing research perspectives by Jūratė Banytė, Ieva Pūkienė, Greta Dargytė

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Between Containers and Warehouses: Rehabilitating Port Proximities in UAE Coastal Cities by Hiba Farhat, Ayman Kassem

“…These sites reveal the challenges of balancing economic growth with sustainable urban recovery efforts, including “districtification,” museumification, and cultural reuse. The analysis underscores the complexities of ensuring long‐term sustainability, public access, and active engagement in port‐adjacent areas. …”
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Characterization and adsorption properties of rectorite/sludge-derived biochar composites for Pb(II) removal by Huanhuan Wang, Jing Wang, Zi Wang, Qing Ye, Junye Zhang

“…X-ray photoelectron spectroscopy analysis confirmed that the reaction mechanism is mainly dominated by chemisorption, involving cationic exchange, surface complexation, and surface precipitation. …”
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A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement by Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim

“…Traditional body measurement methods mainly rely on 2D images or manual measurements. This research, however, utilizes 3D depth information to enhance both accuracy and efficiency. …”
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A labeled dataset for AI-based cryo-EM map enhancement by Nabin Giri, Xiao Chen, Liguo Wang, Jianlin Cheng

“…Cryogenic electron microscopy (cryo-EM) has transformed structural biology by enabling near atomic resolution imaging of macromolecular complexes. However, cryo-EM density maps suffer from intrinsic noise arising from structural sources, shot noise, and digital recording, which complicates accurate model building. …”
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MoSViT: a lightweight vision transformer framework for efficient disease detection via precision attention mechanism by Yuanqi Chen, Aiping Wang, Ziyang Liu, Jie Yue, Enxu Zhang, Fei Li, Ning Zhang

“…Built on the MobileViT V2 framework, MoSViT integrates the CLA focus mechanism, DRB module, MoSViT Block, and the LeakyRelu6 activation function to enhance feature extraction accuracy while reducing computational complexity. Trained on a dataset of 3,850 images encompassing Blight, Common Rust, Gray Leaf Spot, and Healthy conditions, MoSViT achieves exceptional performance, with classification accuracy, Precision, Recall, and F1 Score of 98.75%, 98.73%, 98.72%, and 98.72%, respectively. …”
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A rare case of a concomitant ovarian fibroma and malignant steroid cell tumor: insights into pathogenesis and steroidogenesis by Chihiro Inoue, Yuto Yamazaki, Hironobu Sasano, Yayoi Aoyama, Toyoharu Watanabe, Takashi Suzuki

“…Conclusion This case underscores the rarity and complexity of concomitant ovarian fibroma and malignant SCT. …”
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A new method for identifying reservoir fluid properties based on well logging data: A case study from PL block of Bohai Bay Basin, North China by Song Jian, Zhang Hao, Guo Jianhong, Han Zihao, Guo Jianchao, Zhang Zhansong

“…The non-standard Markov transition field model is employed to map logging data into feature images, offering a new perspective on the application of geophysical logging data in practical reservoir analysis.…”
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Experience of using unmanned aerial photography systems for mapping the territory of the Russian Federation by S. Nekhin, A. Rubenok

“…These advantages include lower financial costs of carrying out cartographic works in limited areas, the speed of surveying and obtaining images, the ability to survey from low altitudes, including under low clouds, and obtain high-resolution images. …”
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Automated Surface Crack Identification of Reinforced Concrete Members Using an Improved YOLOv4-Tiny-Based Crack Detection Model by Sofía Rajesh, K. S. Jinesh Babu, M. Chengathir Selvi, M. Chellapandian

“…The outcomes of the proposed work encourage the use of a developed CDM algorithm in real-time crack detection analysis of critical infrastructural elements.…”
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Harnessing Electronic Health Records and Artificial Intelligence for Enhanced Cardiovascular Risk Prediction: A Comprehensive Review by Ming‐Lung Tsai, Kuan‐Fu Chen, Pei‐Chun Chen

“…The complexity of EHR data requires sophisticated computational methods and multidisciplinary approaches for effective CVD risk modeling. …”
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Hydrological and morphological features and geoecological condition of the territories of the plains area of the Kuma River valley and their significance in the system of civilizat... by E. G. Mishvelov, Z. V. Ataev, A. I. Kornienko

“…In this work, the main aim was a retrospective analysis of the geo‐ecological state and problems of natural territorial complexes (NTC) of the valley of the plains area of the Kuma River in the context of hydrological and morphological dynamics for the period from the 18th century to the present.Material and Methods. …”
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Multitask Change-Aware Network and Semisupervised Enhanced Multistep Training for Semantic Change Detection by Yifei Si, Jie Jiang

“…SCD is a challenging task due to the complexity of scenes in remote sensing images and the lack of semantic labels in SCD datasets. …”
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