Results 231 to 240 of about 589,466 (300)

A Comprehensive Review on Nutrition, Phytochemistry, Pharmacology and Food Application Perspectives of Bioactive Rich Superfruits

open access: yesFuture Postharvest and Food, EarlyView.
The review critically evaluated and compared the selected superfruit phytochemistry, their bioactive composition and the key health benefits majorly emphasizing the antioxidant potential. It has highlighted the translational challenges in formulating functional foods by addressing the issues related to delivery system, bioavailability mechanism and the
Sharath Kumar Nagaraja   +3 more
wiley   +1 more source

Creation of a Landslide Susceptibility Map Using Short‐Term Data From the July 2018 Heavy Rainfall in Southern Hiroshima Prefecture

open access: yesGeological Journal, EarlyView.
This work advances landslide susceptibility mapping by incorporating short‐term trigger data with landscape susceptibility mapping. We also examine the importance of downsampling, watershed delineation and geospatial correlations in evaluating outcomes.
Kanta Kotsugi   +3 more
wiley   +1 more source

Diterpenoid Diversity across Land Plants

open access: yesHelvetica Chimica Acta, EarlyView.
Here we bridge the knowledge of diterpene chemical diversity, biosynthesis, and evolution from nonvascular mosses and liverworts to that known from vascular plants. ABSTRACT The diverse array of diterpenoid natural products stems from the ease of manipulating the promiscuity of diterpene cyclases.
Anita Berg   +2 more
wiley   +1 more source

Prediction of dose reductions and impact of reduced starting doses of CDK4/6i on effectiveness in HR‐positive/HER2‐negative metastatic breast cancer: Real‐world data from the OPAL registry

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Balancing efficacy and tolerability is challenging in oncology, as standard dosing often prioritizes maximum tolerated doses over other patient needs. Here, the authors developed a predictive index to identify patients with increased probability of dose reduction in metastatic breast cancer and compared the real‐world effectiveness of ...
Patrick Marschner   +19 more
wiley   +1 more source

Hematologic markers and machine learning in predicting placenta accreta: A case–control study

open access: yesInternational Journal of Gynecology &Obstetrics, EarlyView.
Abstract Objective This study aims to enhance antenatal detection of placenta accreta spectrum (PAS) and predict severe hemorrhage at delivery using machine learning by evaluating the association between antenatal hematologic index trends across trimesters, imaging markers, and patient history.
Michael D. Jochum   +11 more
wiley   +1 more source

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