Results 231 to 240 of about 77,494 (336)

Record‐Wise Disaggregated Seismic Fragilities for Interconnected Systems

open access: yesEarthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Seismic risk assessment studies typically rely on fragility functions/curves to characterize the susceptibility of an asset or a class of assets to damage. These curves are essentially a summarization of responses evaluated on the basis of ground motions with record characteristics and intensities that may or may not be tied to a specific site
Nikolaos D. Karaferis   +4 more
wiley   +1 more source

Marine n‐3 Polyunsaturated Fatty Acids Mitigate Obesity Traits Through PRDM16‐Driven Gene–Nutrient Interaction and Spatiotemporal Scale Browning Process

open access: yesFood Frontiers, EarlyView.
This large cohort study of 45,664 participants from the UK Biobank provides strong epidemiological evidence that fish oil use was associated with 12% and 7% lower risks of obesity and high body fat percentage, respectively. Mechanistically, marine n‐3 polyunsaturated fatty acids mitigate obesity traits through PRDM16‐driven gene–nutrient interactions ...
Xiaohui Liu   +12 more
wiley   +1 more source

Beeswax: Food and beyond

open access: yesFood Biomacromolecules, EarlyView.
Abstract Honeybees (Apis mellifera L.) are an important class of insects that are the most beneficial in terms of economy. Beeswax is the second most important bee products after honey. Its commercial importance is due to its antimicrobial, antioxidant, anti‐inflammatory and antiseptic as well as regenerative properties.
Rajshri Naveen, Manickam Loganathan
wiley   +1 more source

Infectious bronchitis-virus-like QX strain transmission, pathogenesis, replication, and host miRNA biogenesis pathway hijacking mechanism. [PDF]

open access: yesFront Cell Infect Microbiol
Khan A   +8 more
europepmc   +1 more source

Harnessing deep learning to quantify microstructural complexity in confocal images of plant protein gels

open access: yesFood Biomacromolecules, EarlyView.
Abstract Understanding plant protein gel microstructure is key to designing functional food systems. This study introduces a deep learning framework using a U‐Net model with a ResNet34 encoder to segment and quantify confocal laser scanning microscopy (CLSM) images of plant protein gels.
Zhi Yang
wiley   +1 more source

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