Results 201 to 210 of about 657 (262)

Tracing change in the public perception of plants: insights from archives and social media in China

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
As urbanization accelerates, historic gardens serve as vital cultural treasures that offer spiritual and cultural support to the public. This study proposes an innovative approach that merges historical records from the Qing Dynasty with contemporary social media data to explore changes in public perceptions of these gardens.
Dong Xu   +4 more
wiley   +1 more source

Simulations of multi-phase gas in and around galaxies. [PDF]

open access: yesLiving Rev Comput Astrophys
Gronke M, E Schneider E.
europepmc   +1 more source

Past, present and future of local crop evolution

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Promoting agrobiodiversity is a promising strategy for mitigating the negative effects of climate change on global food security. We highlight the central role evolutionary processes play in harnessing the potential of local crops by integrating genomics, archaeology, ethnobotany and traditional ecological knowledge (TEK).
Nataly Allasi Canales   +6 more
wiley   +1 more source

Coronal dimmings and what they tell us about solar and stellar coronal mass ejections. [PDF]

open access: yesLiving Rev Sol Phys
Veronig AM   +12 more
europepmc   +1 more source

From wild to tamed: Reimagining novel crops through omics and local plant diversity

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
The global food system faces growing pressure from climate change, biodiversity loss, and rising nutritional demands. Agriculture has increased yields but reduced crop diversity, flavor, and nutritional quality, leaving societies vulnerable and dependent on a narrow set of staple species.
Alexandra Sanfeliu Meliá   +1 more
wiley   +1 more source

A Faint Progenitor System for the Faint Supernova 2024vjm

open access: yes
Zimmerman E   +69 more
europepmc   +1 more source

Machine learning‐based predictive models versus traditional risk scores in hemodialysis patients with comorbid urolithiasis

open access: yesPrecision Medical Sciences, EarlyView.
Machine learning‐based predictive models outperform traditional risk scores in hemodialysis patients with comorbid urolithiasis by capturing nonlinear, dialysis‐specific interactions. These approaches enable more accurate prediction of stone recurrence, sepsis, hospitalization, and mortality, supporting personalized risk stratification and precision ...
Dipal Chaulagain   +4 more
wiley   +1 more source

Exploring synergies between Twinkle and Ariel: a pilot study. [PDF]

open access: yesExp Astron (Dordr)
Bocchieri A, Booth L, Mugnai LV.
europepmc   +1 more source

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