Results 91 to 100 of about 6,740 (303)

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

WISE J072003.20-084651.2B is a Massive T Dwarf [PDF]

open access: yesThe Astronomical Journal, 2019
Abstract We present individual dynamical masses for the nearby M9.5+T5.5 binary WISE J072003.20−084651.2AB, a.k.a. Scholz’s star. Combining high-precision Canada–France–Hawaii Telescope/WIRCam photocenter astrometry and Keck adaptive optics resolved imaging, we measure the first high-quality parallactic distance (
Trent J. Dupuy   +23 more
openaire   +4 more sources

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

Discovery of 118 New Ultracool Dwarf Candidates Using Machine-learning Techniques

open access: yesThe Astronomical Journal
We present the discovery of 118 new ultracool dwarf candidates, discovered using a new machine-learning tool, named SMDET , applied to time-series images from the Wide-field Infrared Survey Explorer.
Hunter Brooks   +47 more
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

T Dwarf Discoveries by 2MASS

open access: yes, 2001
8 pages, 3 figures, to appear in 4th Tetons Summer Conference on Galactic Structure, Stars, and the Interstellar ...
openaire   +2 more sources

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

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

Brown Dwarf Candidates in the JADES and CEERS Extragalactic Surveys

open access: yesThe Astrophysical Journal
By combining the James Webb Space Telescope (JWST)/NIRCam JADES and CEERS extragalactic data sets, we have uncovered a sample of 21 T and Y brown dwarf candidates at best-fit distances between 0.1 and 4.2 kpc. These sources were selected by targeting the
Kevin N. Hainline   +15 more
doaj   +1 more source

Two T dwarfs from the UKIDSS Early Data Release

open access: yes, 2020
Context. We report on the first ultracool dwarf discoveries from the UKIRT Infrared Deep Sky Survey (UKIDSS) Large Area Survey Early Data Release (LAS EDR), in particular the discovery of T dwarfs which are fainter and more distant than those found using
G Chabrier   +32 more
core  

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