Global warming is intensifying soil degradation in vulnerable ecosystems worldwide, and dry-hot valleys have become critical erosion hotspots under changing climatic conditions. However, systematic assessment of erosion types and their controlling fa... read more
This study examines the association between Generative Artificial Intelligence use and foreign language classroom anxiety (FLCA) among undergraduates in an under-resourced private university in Western China. Data were collected from 630 first- and s... read more
Computers, informatics, nursing : CIN
May 25, 2026
Artificial intelligence (AI) is increasingly used in health care, yet little is known about user acceptability, particularly among older adults. To address this gap, the AI Health Acceptability Evaluation (AI-HAE) was developed to assess perceptions ... read more
Single-cell RNA sequencing (scRNA-seq) and spatial transcriptomics (ST) offer complementary insights into tissue heterogeneity. Each modality is characterized by inherent trade-offs: scRNA-seq offers high resolution but lacks spatial context, while S... read more
OBJECTIVE: To develop an artificial intelligence (AI) model for automatic classification of cervical vertebral maturation (CVM) stages on lateral cephalometric radiographs (LCR). MATERIALS AND METHODS: Overall, 1140 LCRs were labeled and classified a... read more
Acute Myeloid Leukemia predominantly affects older adults, who often present with comorbidities, functional impairment, and frailty, limiting eligibility for intensive chemotherapy or allogeneic transplantation. Historically, treatment options were r... read more
Journal of voice : official journal of the Voice Foundation
May 25, 2026
BACKGROUND/OBJECTIVE: Differentiating relapsing-remitting from progressive multiple sclerosis (MS) remains a clinical challenge, often requiring complex or invasive biomarkers. This study aimed to develop a machine learning model using acoustic speec... read more
OBJECTIVE: To develop and validate a deep learning model integrating multi-modal ultrasound information from B-mode ultrasound (BMUS) and strain elastography (SE) for accurate preoperative prediction of central lymph node metastasis (CLNM) in patient... read more
Computer methods in biomechanics and biomedical engineering
May 25, 2026
This study proposes a novel U-Net-based convolutional neural network for blood glucose prediction by integrating historical continuous glucose monitoring data with non-invasive physiological parameters. The model achieved robust performance using the... read more
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