ABSTRACT In this paper, we revisit the problem of identifying bona fide cluster Cepheids by performing an all-sky search for associated with open clusters and making use state-of-the-art catalogued information both clusters, based on unparalleled astrometric precision second early third data releases Gaia satellite. We determine membership probabilities following a Bayesian approach using spati...

We combine our compilation of photometry of M31 globular clusters and probable cluster candidates with new near-infrared photometry for 30 objects. Using these data we determine the globular cluster luminosity function (GCLF) in multiple filters for the M31 halo clusters. We find a GCLF peak and dispersion V 0 0 = 16.84 ± 0.11, σt = 0.93± 0.13 (Gaussian σ = 1.20± 0.14), consistent with previous...

We report 1,656 new star clusters found in the Galactic disk (|b|<20 degrees) beyond 1.2 kpc, using Gaia EDR3 data. Based on an unsupervised machine learning algorithm, DBSCAN, and followed our previous studies, we utilized a unique method to do data preparation obtained clustering coefficients, which proved be effective way search blindly for clusters. tabulated physical parameters member star...

Objective(s): Pseudomonas aeruginosa is one of the most important nosocomial pathogens causing a high rate of mortality among hospitalized patients. Herein, we report the prevalence of antibiotic resistance genes, class 1 integrons, major virulence genes and clonal relationship among multidrug- resistant (MDR) P. aeruginosa, isolated from four referral hospitals in the...

We propose a self-supervised cluster-based hierarchical reduced-order modelling methodology to model and analyse the complex dynamics arising from sequence of bifurcations for two-dimensional incompressible flow unforced fluidic pinball. The hierarchy is guided by triple decomposition separating slowly varying base flow, dominant shedding secondary structures. All these components are kinematic...

This article presents a new feature extraction technique based on the temporal tracking of clusters in spectro-temporal features space. In the proposed method, auditory cortical outputs were clustered. The attributes of speech clusters were extracted as secondary features. However, the shape and position of speech clusters change during the time. The clusters temporally tracked and temporal tra...