Results 31 to 40 of about 154,240 (279)

Classification of Variable Stars Light Curves Using Long Short Term Memory Network

Frontiers in Astronomy and Space Sciences, 2021
Owing to the current and upcoming extensive surveys studying the stellar variability, accurate and quicker methods are required for the astronomers to automate the classification of variable stars.
Saksham Bassi, Kaushal Sharma, Atharva Gomekar   +2 more
doaj   +1 more source

The classification of meteor light curves: an application of hat theory [PDF]

Monthly Notices of the Royal Astronomical Society, 2007
A three-component, geometrical classification scheme for meteor light curves is developed and presented. A fundamental distinction between convex and non-convex light-curve profiles is first made, and then the individual light curves are quantified according to the relative trail-length location of the point of maximum brightness, and the area under ...
openaire   +1 more source

Shape Discrimination of Individual Aerosol Particles Using Light Scattering

Sensors, 2023
We established an experimental apparatus by combining polarized light scattering and angle-resolved light scattering measurement technology to rapidly identify the shape of an individual aerosol particle. The experimental data of scattered light of Oleic
Yan Han, Lei Ding, Yingping Wang, Haiyang Zheng, Li Fang   +4 more
doaj   +1 more source

BLADE: An Automated Framework for Classifying Light Curves from the Center for Near-Earth Object Studies Fireball Database

The Astronomical Journal
Fireballs (bolides) are high-energy luminous phenomena produced when meteoroids and small asteroids enter Earth’s atmosphere at hypersonic speeds, often resulting in fragmentation or complete disintegration accompanied by significant energy release.
Elizabeth A. Silber, Vedant Sawal
doaj   +1 more source

Generalizing across astronomical surveys: Few-shot light curve classification with Astromer 2

Astronomy & Astrophysics
Context. Foundational models have emerged as a powerful paradigm within the deep learning field. Their capacity relies on the ability to learn robust representations from large-scale datasets and generalize to diverse downstream applications, such as ...
Donoso-Oliva Cristobal, Becker Ignacio, Protopapas Pavlos, Cabrera-Vives Guillermo, Cádiz-Leyton Martina, Moreno-Cartagena Daniel   +5 more
doaj   +1 more source

An unexpected alternative viologen electron mediator site in tungsten‐containing formate dehydrogenase

FEBS Letters, EarlyView.
An unexpected alternative interaction site for ethyl viologen was identified in formate dehydrogenase 1 from Methylorubrum extorquens. Combined mutagenesis, kinetic analysis, and docking revealed that aromatic residues near an iron–sulfur cluster enable flavin mononucleotide‐independent electron transfer, offering a framework for engineering improved ...
Eleni G. Poloniataki, Yong Hwan Kim
wiley   +1 more source

Network divergence analysis identifies adaptive gene modules and two orthogonal vulnerability axes in pancreatic cancer

Molecular Oncology, EarlyView.
Tumors contain diverse cellular states whose behavior is shaped by context‐dependent gene coordination. By comparing gene–gene relationships across biological contexts, we identify adaptive transcriptional modules that reorganize into distinct vulnerability axes.
Brian Nelson, Lyanne Delgado‐Coka, Natalia Marchenko, Luisa F. Escobar‐Hoyos, Kenneth R. Shroyer, Alisa Yurovsky, Trey Ideker, Gábor Balázsi, Thomas MacCarthy, Scott Powers   +9 more
wiley   +1 more source

Machine learning prediction of antibody aggregation and viscosity for high concentration formulation development of protein therapeutics

mAbs, 2022
Machine learning has been recently used to predict therapeutic antibody aggregation rates and viscosity at high concentrations (150 mg/ml). These works focused on commercially available antibodies, which may have been optimized for stability.
Pin-Kuang Lai, Austin Gallegos, Neil Mody, Hasige A. Sathish, Bernhardt L. Trout   +4 more
doaj   +1 more source

Pre‐analytical optimization of cell‐free DNA and extracellular vesicle‐derived DNA for mutation detection in liquid biopsies

Molecular Oncology, EarlyView.
Pre‐analytical handling critically determines liquid biopsy performance. This study defines practical best‐practice conditions for cell‐free DNA (cfDNA) and extracellular vesicle–derived DNA (evDNA), showing how processing time, storage conditions, tube type, and plasma input volume affect DNA integrity and mutation detection.
Jonas Dohmen, Lucrezia De Santis, Bret M. Stephens, Vincent Bernard, Jörg C. Kalff, Lara Braun, Phillipp Leyendecker, Johannes Röttgen, Daniel Weissinger, Anirban Maitra, Paola A. Guerrero, Alexander Semaan   +11 more
wiley   +1 more source

ECLIPSING BINARY STARS : LIGHT CURVE MODELS AND SOFTWARE

Odessa Astronomical Publications, 2017
The importance of studying Eclipsing Binary Stars for the determination of fundamental stellar data is sketched. The eclipsing binaries, originally classified phenomenologically, are now understood on the basis of much firmer physics and the improved ...
P. G. Niarchos
doaj   +1 more source