Tea (Camellia sinensis) is the world's second most consumed beverage, enjoyed daily by more than two billion people. In Bangladesh, it serves as a cornerstone agricultural export and a major sector of the domestic economy. However, commercial tea cul... read more
Identification of tissue-region-specific changes in glycosylation is crucial for understanding the pathogenesis of kidney diseases, yet it remains a great challenge. We developed a workflow that combines matrix-assisted laser desorption/ionization ma... read more
The real-time characterization of soliton interaction parameters is of great significance for improving the performance of passively mode-locked fiber lasers and exploring the general laws of dissipative nonlinear systems. Currently, the extraction o... read more
Designing freeform optics for extended light sources remains a challenge in illumination design, since conventional design methods for zero-étendue sources are difficult to extend to general, finite-étendue sources. As an alternative to these convent... read more
We experimentally demonstrate a signal-reference modal correlation method for retrieving structured optical modal signatures after propagation through a scattering medium. Hermite-Gaussian and Laguerre-Gaussian modes transmitted through the medium pr... read more
BACKGROUND: Complication risks in children and adolescents with type 1 diabetes (T1D) can lead to serious health outcomes if not detected early. Despite the availability of clinical data, there remains a gap in interpretable tools that support risk s... read more
The International journal of prosthodontics
May 15, 2026
PURPOSE: To investigate the long-term optical properties of CAD/CAM resin-matrix-ceramics (RMCs) under thermocycling and further predict esthetic alteration using machine learning (ML). MATERIALS AND METHODS: Four materials (UP.CAD (UP), Hyramic (Hy)... read more
The scarcity of high-quality experimental data often hampers data-driven materials discovery. This work introduces HoloMat-TADF, a holographic machine learning framework that provides predictive and interpretable insights from limited data sets. Its ... read more
Preparative biochemistry & biotechnology
May 15, 2026
The pursuit of sustainable alternatives to fossil fuels has significantly accelerated as a result of the global energy crisis and increasing environmental concerns. Owing to their high lipid content, rapid growth rates, and ability to make use of non... read more
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.