Results 121 to 130 of about 2,703 (267)
Heat Stress in Quail: Impacts on Health and Productivity, and Mitigation Strategies
Heat stress disrupts physiological homeostasis in quail, inducing oxidative stress, immune dysregulation, and metabolic imbalance, which impair growth, reproduction, product quality, and welfare. Integrating nutritional, environmental, and genetic–epigenetic strategies enhances thermotolerance, sustains productivity, and supports climate‐smart quail ...
T. A. Eletu +6 more
wiley +1 more source
UNCOVER: JWST Spectroscopy of Three Cold Brown Dwarfs at Kiloparsec-scale Distances
We report JWST/NIRSpec spectra of three distant T-type brown dwarfs identified in the Ultradeep NIRSpec and NIRCam ObserVations before the Epoch of Reionization (UNCOVER) survey of the Abell 2744 lensing field.
Adam J. Burgasser +21 more
doaj +1 more source
Purpose To compare the outcomes of the transtibial technique (TT) and the translateral technique (TLL) for anterior cruciate ligament (ACL) reconstruction in an Asian population. Methods Patients who underwent either TT or TLL for ACL reconstruction between 2019 and 2021 were identified.
Joel Yat Seng Wong +2 more
wiley +1 more source
High Proper Motion Discoveries from the UKIRT Hemisphere Survey
We used the third data release of the UKIRT Hemisphere Survey to locate previously unrecognized high proper motion objects. We identify a total of 127 new discoveries with total proper motions ≳300 mas yr ^−1 .
Wings Zhang +33 more
doaj +1 more source
Workflow for comparing three LLMs in radiographic anatomical identification using 30 radiographs and 196 anatomy questions across Normal and Thinking modes, with expert scoring and temporal consistency analysis. Abstract This study compared the performance of three large language models, ChatGPT‐5 Plus, Gemini 2.5 Pro, and SuperGrok 4, in identifying ...
Ismail Sivri +4 more
wiley +1 more source
Identifying and Characterizing Very Low-mass Spectral Blend Binaries with Machine Learning Methods
We present an approach to identifying and characterizing unresolved, very low mass spectral blend binaries composed of late M, L, and T dwarfs using machine learning methodologies.
Juan Diego Draxl Giannoni +7 more
doaj +1 more source
Essential work, invisible workers: The role of digital curation in COVID‐19 Open Science
Abstract In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID‐19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address ...
Irene V. Pasquetto +2 more
wiley +1 more source
The JWST/NIRISS Deep Spectroscopic Survey for Young Brown Dwarfs and Free-floating Planets
The discovery and characterization of free-floating planetary-mass objects (FFPMOs) is fundamental to our understanding of star and planet formation. Here we report results from an extremely deep spectroscopic survey of the young star cluster NGC1333 ...
Adam B. Langeveld +11 more
doaj +1 more source
Abstract Collaboration has become important at all stages of research careers. In data‐intensive research fields such as wind energy, many PhD fellows are socialized to such collaboration in networks that train a cohort of PhD fellows. Based on interviews with 23 PhD fellows in four wind‐energy training networks, we investigate their expectations and ...
Grischa Fraumann +3 more
wiley +1 more source
The ORCA‐TWIN qCMOS Experiment I. Science Case and Commissioning at Calar Alto Observatory
ABSTRACT We describe a pilot study to explore a new generation of fast and low noise CMOS image sensors for time domain astronomy, using two remote telescopes with a baseline of 1635 km. The experiment involves direct imaging with novel qCMOS image sensor technology that combines fast readout with sub‐electron readout noise.
Martin M. Roth +20 more
wiley +1 more source

