Results 261 to 270 of about 105,564 (350)

Nutritional properties, traditional uses and potential new applications for the sotol plant (Asparagaceae, Convallarioideae): A review

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Sotol (Dasylirion spp.) is a resilient desert plant that sustains ecosystems, cultures and livelihoods in Chihuahua Desert. Our review highlights its nutritional properties, traditional uses and potential new applications in food, pharmaceuticals, renewable energy and water remediation. By synthesizing evidence across disciplines, we show how sotol can
Dámaris Leopoldina Ojeda Barrios   +7 more
wiley   +1 more source

Quantum refrigeration powered by noise in a superconducting circuit. [PDF]

open access: yesNat Commun
Sundelin S   +4 more
europepmc   +1 more source

The Neuroprotective Effect of a Waste Byproduct Obtained From Pomegranate (Punica granatum)

open access: yesPhytotherapy Research, EarlyView.
The Effect of a Waste Byproduct Obtained From Pomegranate on Neurodegeneration. ABSTRACT Pomegranate is an exceptional fruit that can have several beneficial effects on human health. The peel of pomegranate, a waste product, should be recovered as it still contains valuable constituents, including phenolic compounds, minerals and fibre. The recovery of
Jessica Maiuolo   +11 more
wiley   +1 more source

Recombination of localized quasiparticles in disordered superconductors. [PDF]

open access: yesNat Commun
de Rooij SAH   +8 more
europepmc   +1 more source

Enabling Under Ice Glider Operations: A Backseat Driver Approach

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Polar Oceans are key locations for forcing global ocean circulation, influencing both global climate and biogeochemical cycles. Due to restricted access to these seasonally and perennially ice‐covered regions, these areas are severely undersampled.
Yaomei Wang   +12 more
wiley   +1 more source

Programmable circuits for analog matrix computations. [PDF]

open access: yesNat Commun
Keshavarz R   +3 more
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

open access: yesResponsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen   +8 more
wiley   +1 more source

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