Results 51 to 60 of about 5,583,252 (183)

Data-driven Stellar Intrinsic Colors and Dust Reddenings for Spectrophotometric Data: From the Blue-edge Method to a Machine Learning Approach

The Astrophysical Journal
Intrinsic colors (ICs) of stars are essential for studies on both stellar physics and dust reddening. In this work, we developed an XGBoost model to predict ICs with the atmospheric parameters T _eff , ${\rm{log}}\,g$ , and [M/H].
He Zhao, Shu Wang, Biwei Jiang, Jun Li, Dongwei Fan, Yi Ren, Xiaoxiao Ma   +6 more
doaj   +1 more source

Assessment of mesh orientation, Arbitrary‐Lagrangian‐Eulerian remeshing and mass scaling in 3D finite‐element modeling of thread‐forming screw connections Bewertung der Netzausrichtung, Arbitrary‐Lagrangian‐Eulerian‐Neuvernetzung und Massenskalierung bei der 3D‐Finite‐Elemente‐Modellierung von gewindefurchenden Schraubverbindungen

Materialwissenschaft und Werkstofftechnik, Volume 57, Issue 7, Page 672-686, July 2026.
An approach to quantify the mesh quality for simulations of bolted joints with formed female threads has been conducted for different meshing strategies. Depending on mesh orientation, Arbitrary‐Lagrangian‐Eulerian remeshing and mass scaling the quotient qH was evaluated.
T. Binder, P. Reining, M. Klein, M. Oechsner   +3 more
wiley   +1 more source

Assessing the Effects of Composition and Surface Roughness on the Photopolarimetric Response of Planetary Regoliths

The Astrophysical Journal Supplement Series
This study is part of an ongoing project in which we experimentally examine the effect of composition (refractive index) and surface roughness on the scattering matrix elements of a set of well-characterized rough regolith simulants.
Francisco J. García-Izquierdo, Elisa Frattin, Julia Martikainen, Olga Muñoz, Alvaro Alvarez-Candal, Fernando Moreno, María Passas-Varo, Juan Carlos Gómez-Martín, Teresa Jardiel, Marco Peiteado, Amador C. Caballero, Gorden Videen, Johannes Markkanen, Antti Penttilä, Karri Muinonen   +14 more
doaj   +1 more source

Exploring the Agency of Algorithmic Technology in Talent Management Decision‐Making: An Actor‐Network Theory Perspective

Human Resource Management Journal, Volume 36, Issue 3, Page 441-459, July 2026.
ABSTRACT Guided by the Actor‐Network Theory (ANT) perspective, this study explores user experiences with the perceived agency of algorithmic technology in the context of talent management (TM) decisions. Through a qualitative analysis of 11 client companies utilizing algorithmic TM decision‐making technology provided by an HR tech service firm, we ...
Violetta Khoreva, Vlad Vaiman, Sunghoon Kim   +2 more
wiley   +1 more source

The Flattest Infrared Extinction Curve in Four Isolated Dense Molecular Cloud Cores

The Astrophysical Journal Letters
The extinction curve of interstellar dust in the dense molecular cloud cores is crucial for understanding dust properties, particularly size distribution and composition.
Jun Li, Bingqiu Chen, Biwei Jiang, He Zhao, Botao Jiang, Xi Chen   +5 more
doaj   +1 more source

Detective Work and Invisible Assessments: Unpacking Discretionary Processes in Welfare Decision‐Making

Social Policy &Administration, Volume 60, Issue 4, Page 720-729, July 2026.
ABSTRACT Frontline discretion serves as a core function in welfare delivery. However, little is known about the process between input and output of discretionary assessments. As welfare administrations increasingly explore automated decision‐support systems to improve consistency and efficiency, it becomes crucial to understand the mechanisms and ...
Maria G. Volckmar‐Eeg, Silje Andresen
wiley   +1 more source

Probing the Distinct Extinction Law of the Pillars of Creation in M16 with JWST

The Astrophysical Journal Letters
Investigating the extinction law in regions of high dust extinction, such as the Pillars of Creation within the M16 region, is crucial for understanding the densest parts of the interstellar medium (ISM).
Jun Li, Bingqiu Chen, Biwei Jiang, Jian Gao, Xi Chen   +4 more
doaj   +1 more source

Exploring the Wolf Approach to Constraining NIR Extinction Laws in the Corona Australis Molecular Cloud

The Astronomical Journal
The viability of the star count (Wolf) method is assessed as a means of constraining the near-infrared (NIR) extinction law toward the Corona Australis molecular cloud. Using deep JHK _S photometry from the VISIONS survey, extinction maps with 1′ spatial
Botao Jiang, Jun Li, Xi Chen
doaj   +1 more source

Extinction law and stellar mass in the nuclear bulge from kinematically selected red clump stars

Astronomy & Astrophysics
Context. The nuclear bulge of the Milky Way harbors stellar populations that provide crucial insights into galaxy formation processes and serve as a nearby analog for understanding bulge formation in external galaxies.
Valenzuela Navarro Á., Zoccali M., Valenti E., Contreras Ramos R., Rojas-Arriagada A., Luna A., Albarracín R., Gallart C., Olivares Carvajal J., Gran F., Salvo-Guajardo C., Nandakumar G., Renzini A.   +12 more
doaj   +1 more source

Confidence intervals for extinction risk: Validating population viability analysis with limited data

Methods in Ecology and Evolution, Volume 17, Issue 6, Page 1837-1850, June 2026.
Abstract The assessment of extinction risk remains a key component of IUCN and CITES evaluations. However, it has been argued that, under realistic data limitations, confidence intervals (CIs) for extinction probability often span the entire 0–1 range, rendering such assessments meaningless.
Hiroshi Hakoyama
wiley   +1 more source