Results 71 to 80 of about 154,240 (279)
Astronomical Classification of Light Curves with an Ensemble of Gated Recurrent Units
, 2020 11 pages, 5 figures, LaTeX; fixed rendering issues and minor ...
Chaini, Siddharth, Kumar, Soumya Sanjay
openaire +2 more sources
Classification of Mira variables based on visual light curve shape
, 1988 We have classified 368 Mira variables of M, S and C spectral classes based on the shape of their visual light curve. The classification is esentially based on Ludendorff's (1928) scheme and the light curves used are mainly from the compilation of ...
Vardya, M. S.
core
FEBS Open Bio, EarlyView.Time‐restricted feeding (TRF) in mice increased liver fatty acid oxidation and decreased fatty acid biosynthesis. These alterations persisted when TRF was discontinued and the host was infected with Mycobacterium tuberculosis. Pre‐exposure to TRF did not alter tissue (lung and spleen) mycobacterial burden but significantly reduced CD3+ T cells in lungs
Ashish Gupta +7 more
wiley +1 more source
NotPlaNET: Removing False Positives from Planet Hunters TESS with Machine Learning
The Astronomical JournalDifferentiating between real transit events and false-positive signals in photometric time-series data is a bottleneck in the identification of transiting exoplanets, particularly long-period planets.
Valentina Tardugno Poleo +2 more
doaj +1 more source
Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids
FEBS Open Bio, EarlyView.Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão +3 more
wiley +1 more source
UniverseThe physical origin of the Blazhko effect (BL), a phenomenon of a single or multiple periodic modulation(s) of the light curve, is under debate. Efficiently identifying and characterizing the BL is essential in understanding its origins and accounting ...
Nan Jiang +6 more
doaj +1 more source
Automated stellar variability classification using TESS light curves
, 2021 Stellar variability is driven by various processes occurring at the stellar surface and in the stellar interior, such as due to stellar eclipses, flares, tidal interactions, pulsations, spots, and rotation. We use unsupervised machine learning on photometric light curves observed by the Transiting Exoplanet Survey Satellite (TESS) to conduct a census ...
Chickles, Emma +2 more
openaire +1 more source
Statistical aspects of elastic scattering spectroscopy with applications to cancer diagnosis [PDF]
, 2009 Elastic scattering spectroscopy (ESS), is a non-invasive and real-time in vivo optical diagnosis technique sensitive to changes in the physical properties of human tissue, and thus able to detect early cancer and precancerous changes.
Zhu, Y, Zhu, Y.
core
Transfer Learning Applied to Stellar Light Curve Classification
, 2023 Context. Variability carries physical patterns and astronomical information of objects, and stellar light curve variations are essential to understand the stellar formation and evolution processes. The studies of variations in stellar photometry have the
Han, Henggeng +4 more
core
Aging and Cancer, EarlyView.This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel +4 more
wiley +1 more source