Advanced deep learning architectures for enhanced mammography classification: a comparative study of CNNs and ViT by Shubhi Sharma, Yeshwant Singh, Tanupriya Choudhury

“…In this study, we conduct a comprehensive comparative analysis of 15 state-of-the-art deep learning models including both general-purpose (e.g., ResNet50, ConvNeXt, ViT) and mammogram-specific architectures (e.g., FCCS-Net, ViT-Mammo, GLAM-Net) for breast cancer classification using mammographic images. …”
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Coexistence of congenital lacrimal gland agenesis and congenital aniridia: Case report by Khawlah A. Alzaben, Bayan S. Alshuhayb, Sulaiman M. Alsulaiman, Maram Alenazi, Mashael A. Alkhayyal

“…The findings highlight the complexity of genetic influences on ocular development and the importance of early identification and management to prevent complications.…”
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Hybrid YOLOv8 and Fast R-CNN for Accurate Schematic Detection in Power Distribution Networks by Aviv Yuniar Rahman, Zuhaina Zakaria

“…Conventional edge detection methods often struggle with the complexity and scale of modern PDNs, while standalone deep learning approaches face challenges in balancing real-time performance and high precision. …”
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Research and Application of YOLOv11-Based Object Segmentation in Intelligent Recognition at Construction Sites by Luhao He, Yongzhang Zhou, Lei Liu, Jianhua Ma

“…With the increasing complexity of construction site environments, robust object detection and segmentation technologies are essential for enhancing intelligent monitoring and ensuring safety. …”
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Generation and verification method of trusted signature seal incorporating handwriting features by Li LI, Shang GAO, Peiliang ZUO, Jiazheng XUAN, Han SONG

“…With the rapid development of electronic communication and internet technology, the digitization of document circulation and processing has become increasingly prevalent.The trend towards greater convenience, flexibility, and diversity in electronic document signing is evident through practices such as online signature collection, remote signature confirmation, and electronic signature authentication.However, the signing and verification processes face challenges related to authenticity, integrity, and more.Instances of unlawful entities intercepting, copying, and forging signature images using low-cost methods to sign documents with false identities, as well as tampering with and forging signature files, are common.The application of electronic signature systems also encounters obstacles such as high costs, limited deployment, lack of universality, and complexities in real-time and consistent verification.To address these risks and challenges and ensure reliable verification in personal document signing processes, a credible method for generating and verifying signature seals that integrate handwriting features was proposed.This method primarily utilized the facial recognition and identity information matching functions of a trusted identity authentication platform.It integrated signature handwriting features and uniquely bound them to the signer's identity for reliable authentication.Accordingly, a signature seal with integrated handwriting features, a verification link for the signed document, and a digital signature QR code were generated.Analysis indicates that the signature seal produced by the proposed method not only serves the purpose of identity verification but also enables the discernment of the authenticity of the signed document.The verification link embedded in the QR code can directly validate the signer's identity, handwriting, and the authenticity and consistency of the signed document through online channels, providing a convenient means for the verification of both electronic and paper documents.The proposed method holds broad application prospects in the fields of electronic document circulation and the verification of the authenticity of electronic and paper documents.…”
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INTERNATIONALIZATION OF CORPORATE FINANCE IN THE EUROPEAN UNION: CHALLENGES AND OPPORTUNITIES FOR GLOBAL COMPETITIVENESS by Anastasiia A. Krasina

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Machine vision approach for monitoring and quantifying fish school migration by Feng Lin, Jicheng Zhu, Aiju You, Lei Hua

“…Operating on dual-frame input, DVE-YOLO integrates deep features from consecutive images to create composite anchor boxes from adjacent frames. …”
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Advancing multi-categorization and segmentation in brain tumors using novel efficient deep learning approaches by Nadenlla RajamohanReddy, G. Muneeswari

“…Brain tumors are most commonly detected by magnetic resonance imaging (MRI) scans. The range of tumor sizes, shapes, and locations in the brain makes the existing approaches inadequate for accurate classification. …”
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Deep Learning Methods and UAV Technologies for Crop Disease Detection by S. G. Mudarisov, I. R. Miftakhov

“…The paper also addresses challenges associated with the use of unmanned aerial vehicles, such as data quality limitations, the complexity of processing large volumes of images, and the need for the development of more advanced models. …”
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Arctic and tundra soils on the new digital soil map of Russia, 1 : 2.5 M scale by T. V. Ananko, M. I. Gerasimova, D. E. Konyushkov

“…During the second stage, a new digital model of the soil cover is developed with the use of digital soil mapping technologies, basic soil map, and new materials, including satellite images and digital elevation models. The legend section “Tundra Soils” contains 16 soil units forming their own areas or found in various combinations (soil complexes). …”
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The Role of Transformative Projects in European Union Integration Dynamics by Kaveshnikov Nikolay Yu.

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Large Language Models in Biochemistry Education: Comparative Evaluation of Performance by Olena Bolgova, Inna Shypilova, Volodymyr Mavrych

“…They encompassed various complexity levels and were distributed across 23 distinctive topics. …”
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Examining the impact of job crafting, work-life balance, and procrastination on performance enhancement by Dorothea Wahyu Ariani

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Toward a cleaner road: Environmental transformation in Hungary’s automotive sector by Maha AlSheikh

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Characterizing heterogeneity in Alzheimer’s disease progression: a semiparametric model by Fatih Gelir, Suneel Babu Chatla, Md. Shenuarin Bhuiyan, Elizabeth A. Disbrow, Steven A. Conrad, John A. Vanchiere, Christopher G. Kevil, Emrah Gecili, Mohammad Alfrad Nobel Bhuiyan

“…Abstract The progression of Alzheimer’s disease (AD), a leading cause of dementia worldwide, is known for its variability and complexity, challenging the conventional methods of monitoring and predicting disease trajectories. …”
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Assessing the Role of Intrinsic Variability in Black Hole Parameter Inference Using Multiepoch EHT Data by Dominic O. Chang, Michael D. Johnson, Paul Tiede

“…Our findings highlight both the promise and challenges of multiepoch EHT observations: while they can refine parameter constraints, they also reveal the limitations of simple parametric models in capturing the full source complexity. Our analysis—the first to fit semianalytic emission models to 2018 EHT observations—underscores the importance of quantifying data contributions from intrinsic variability in future high-resolution imaging studies of black hole environments and the role of repeated observations in quantifying these uncertainties.…”
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Complementary MR measures of white matter and their relation to cardiovascular health and cognition by Petar P. Raykov, Marta Correia, Kamen Tsvetanov, Rafael N. Henriques, Alberto Del Cerro-León, Matthew Bracher-Smith, Valentina Escott-Price, Yordan P. Raykov, Richard N. Henson

“…Among 11 commonly-used WM metrics [Fractional Anisotropy (FA); Mean Signal Diffusion (MSD); Mean Signal Kurtosis (MSK); Neurite Density Index (NDI); fibre Orientation Dispersion Index (ODI); Free water volume faction (Fiso); spread of Mean Signal Diffusivity values (MSDvar); Magnetisation Transfer Ratio (MTR); T1:T2 ratio; volume of White Matter Hyper-Intensities (WMHI); White Matter Volume (WMV)], latent factor analysis showed that four factors were needed to explain 89% of the variance, which we interpreted in terms of (1) fibre density/myelination, (2) free-water / tissue damage, (3) fibre-crossing complexity and (4) microstructural complexity. …”
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A Combined Computational and Experimental Study on Nanoparticle Transport and Partitioning in the Human Trachea and Upper Bronchial Airways by Jiawei Ma, Wei-Chung Su, Yi Chen, Yidan Shang, Jingliang Dong, Jiyuan Tu, Lin Tian

“…With rapid advances in medical imaging and computational capacities, sophisticated human tracheobronchial trees that include the 6th, 7th or 15th generation have been increasingly described in the literature. …”
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ESeismic-GAN: A Generative Model for Seismic Events From Cotopaxi Volcano by Felipe Grijalva, Washington Ramos, Noel Perez, Diego Benitez, Roman Lara, Mario Ruiz

“…However, the direct application of such algorithms is defiant, given the high complexity of waveforms and the scarce and often imbalanced amount of labeled data. …”
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Metastatic mediastinal malignant tumors of gastrointestinal origin with occult primary lesions: a case report by Yaxuan Liu, Yaxuan Liu, Liang liang Yang, Wen teng Hu, Rui jiang Lin, Song la Bai, Song la Bai, Min jie Ma, Min jie Ma, Min jie Ma, Min jie Ma, Biao Han, Biao Han, Biao Han, Biao Han

“…This case underscores the diagnostic complexity of GI-profile mediastinal CUP and highlights limitations in conventional imaging. …”
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