Results 101 to 110 of about 94,786 (300)

NFYB Integrates Hormonal Signals into Tissue Allometry by Promoting Protein Biosynthesis

open access: yesAdvanced Science, EarlyView.
In the American cockroach, NFYB acts as a spatiotemporin that translates distinct hormonal cues into tissue‐specific allometry. Juvenile hormone activates NFYB in the early fat body, while 20‐hydroxyecdysone induces it in late wing pads. NFYB then promotes protein biosynthesis via core translational machinery, driving differential growth across the ...
Fangfang Liu   +11 more
wiley   +1 more source

Metallicities of M Dwarf Planet Host Stars from Kepler, K2, and TESS Observed by APOGEE: Trends with Exoplanetary Radii and Orbital Periods

open access: yesThe Astronomical Journal
One important property in studying the exoplanet population is the host star metallicity ([M/H]). In this study, we derived stellar metallicities and oxygen abundances for 48 M dwarf stars using the near-infrared high-resolution spectra from the SDSS ...
Fábio Wanderley   +4 more
doaj   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee   +3 more
wiley   +1 more source

On the Possibility of an Upper Limit on Magnetically Induced Radius Inflation in Low-mass Stars

open access: yesThe Astrophysical Journal
The radii of low-mass stars are observed to be inflated above standard model predictions, especially in magnetically active stars. Typically, the empirical relative radius inflations Δ R / R are ≤10% but in (rare) cases may be ≥20%.
J. MacDonald, D. J. Mullan
doaj   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

open access: yesAdvanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park   +19 more
wiley   +1 more source

EDGE-INFERNO: How chemical enrichment assumptions impact the individual stars of a simulated ultra-faint dwarf galaxy

open access: yesAstronomy & Astrophysics
The chemical abundances of stars in galaxies are a fossil record of the star formation and stellar evolution processes that regulate galaxy formation, including the stellar initial mass function, the fraction and timing of type Ia supernovae (SNeIa), and
Andersson Eric P.   +8 more
doaj   +1 more source

The Relationship Between Interest Rates and Agricultural Commodity Price Dynamics

open access: yesAgribusiness, EarlyView.
ABSTRACT The U.S. Federal Reserve has undertaken several interest rate interventions in the past decade. This study explores the relationship between U.S. corn and soybean prices and Federal Reserve monetary policy interventions, in the short and long run.
Zhining Sun, Ani L. Katchova
wiley   +1 more source

Photometry of dwarf K and M stars

open access: yesThe Astronomical Journal, 1993
Broadband UBYRI photometry is presented for 688 stars from among the dwarf K and M stars found spectroscopically by Vyssotsky [AJ, 63, 211 (1958)].
openaire   +1 more source

The SDSS White Dwarf - M Star Library

open access: yes, 2011
to appear in the ASP Conference Series on "Evolution of Compact Binaries" (ESO), Vi\~na del Mar ...
Heller, René   +2 more
openaire   +2 more sources

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

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