We introduce a reproducible, bias-resistant machine learning framework that integrates domain-informed feature engineering, nested cross-validation, and calibrated decision-threshold optimization for small-sample neuroimaging data. Conventional cross... read more
Masked diffusion models have emerged as a powerful framework for text and multimodal generation. However, their sampling procedure updates multiple tokens simultaneously and treats generated tokens as immutable, which may lead to error accumulation w... read more
Ovarian endometriosis (OvE) is a gynecological disorder with endometrial tissue in the ovaries, for which effective non-invasive diagnosis and curative treatments are currently lacking. Serum samples were collected from both discovery and validation ... read more
This data article presents an experimental dataset of scattered images, obtained using a low-cost, open-source, Raspberry Pi-based optical system. Each data sample includes two grayscale images of 256 × 256 resolution: the (i) scattered image, and (i... read more
The healthcare domain constitutes a fundamental pillar of national development, as maintaining population health not only enhances citizens' quality of life but also generates substantial economic benefits through increased productivity, innovation, ... read more
PURPOSE OF REVIEW: Early diagnosis of skin cancer is essential for patient care. Noninvasive skin imaging devices have become increasingly used for the assessment of melanoma and nonmelanoma skin cancers (NMSC). This article reviews the scientific li... read more
PURPOSE OF REVIEW: Cancer survivorship is increasingly recognized as an important component of cancer care, yet access to high-quality care remains inconsistent globally. This review highlights priorities for advancing survivorship care worldwide, fo... read more
This article presents a reproducible, physics-informed workflow designed to address data scarcity in the analysis and design of carbon fiber-reinforced polymer (CFRP)-strengthened concrete-filled steel tube (CFST) members. Conventional tabular genera... read more
Selectivity towards specific analytes and detection at sub-ppm levels remain significant challenges for chemiresistive gas sensors. Hybrid materials, like reduced graphene oxide (rGO) combined with metal oxides, possess higher sensitivity at ultralow... read more
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