In laboratory-based diffraction contrast tomography (LabDCT), pixel binning on 2D detectors is an effective strategy to reduce exposure time and improve acquisition efficiency. However, its impact on reconstruction accuracy remains unclear. To addres... read more
Accurate extreme streamflow simulation is essential for flood forecasting, water resource management, and water quality protection. However, process-based and data-driven models often suffer from limitations such as systematic bias, limited robustnes... read more
AIM: To investigate the effect of deep learning-based reconstruction (DLR) technology on image quality and diagnostic efficacy of 5T magnetic resonance imaging (MRI) in nasopharyngeal carcinoma (NPC). MATERIALS AND METHODS: This prospective study inc... read more
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
Apr 19, 2026
BACKGROUND: Artificial intelligence (AI) supported imaging is increasingly used across plastic surgery, including burn care, to assist with assessment and surgical planning. Most of the existing literature has focused on accuracy and technical perfor... read more
Food research international (Ottawa, Ont.)
Apr 19, 2026
The quality of Jiangxiangxing (JXX) baijiu depends on its sensory and flavor characteristics, which traditional methods struggle to evaluate accurately. This study employed quantitative targeted flavoromics and interpretable machine learning (ML) to ... read more
Food research international (Ottawa, Ont.)
Apr 19, 2026
Pulsed electric field (PEF) technology enhances the extraction efficiency of virgin olive oil (VOO), yet its systematic impact on the dynamic evolution of aroma profiles throughout processing remains unclear. This study investigated the effect of PEF... read more
Primary Central Nervous System Lymphoma (PCNSL) is a rare and aggressive form of extranodal non-Hodgkin lymphoma. Recent insights into the molecular characteristics of neoplastic B-cells are opening the era of precision diagnostics with the developme... read more
We introduce RosettaSearch, an inference-time multi-objective optimization approach for protein sequence optimization. We use large language models (LLMs) as a generative optimizer within a search algorithm capable of controlled exploration and explo... read more
Storyboard synthesis plays a crucial role in visual storytelling, aiming to generate coherent shot sequences that visually narrate cinematic events with consistent characters, scenes, and transitions. However, existing approaches are mostly adapted f... read more
We present SciDraw-6K, a curated dataset of 6,291 scientific illustrations synthesized by Google Gemini image-generation models, each paired with prompts in eleven languages (English, Simplified Chinese, Traditional Chinese, Japanese, Korean, German,... read more
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