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Related papers: The Bologna Open Clusters Chemical Evolution proje…

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The Galactic disk retains a vast amount of information about how it came to be, and how it evolved over cosmic time. However, we know very little about the secular processes associated with disk evolution. One major uncertainty is the…

Astrophysics of Galaxies · Physics 2015-05-18 Joss Bland-Hawthorn , Mark Krumholz , Ken Freeman

Recent advances in Bayesian models for random partitions have led to the formulation and exploration of Exchangeable Sequences of Clusters (ESC) models. Under ESC models, it is the cluster sizes that are exchangeable, rather than the…

Statistics Theory · Mathematics 2022-09-08 Keith Levin , Brenda Betancourt

Clustering analysis identifies samples as groups based on either their mutual closeness or homogeneity. In order to detect clusters in arbitrary shapes, a novel and generic solution based on boundary erosion is proposed. The clusters are…

Computer Vision and Pattern Recognition · Computer Science 2018-04-16 Cheng-Hao Deng , Wan-Lei Zhao

Deep clustering aims to learn a clustering representation through deep architectures. Most of the existing methods usually conduct clustering with the unique goal of maximizing clustering performance, that ignores the personalized demand of…

Computer Vision and Pattern Recognition · Computer Science 2022-11-02 Mengdie Wang , Liyuan Shang , Suyun Zhao , Yiming Wang , Hong Chen , Cuiping Li , Xizhao Wang

A tumor often consists of multiple cell subpopulations (clones). Current chemo-treatments often target one clone of a tumor. Although the drug kills that clone, other clones overtake it and the tumor reoccurs. Genome sequencing and…

Molecular Networks · Quantitative Biology 2014-09-09 Edwin Wang , Jinfeng Zou , Naif Zaman , Lenore K. Beitel , Mark Trifiro , Miltiadis Paliouras

Automatic generation of graphic designs has recently received considerable attention. However, the state-of-the-art approaches are complex and rely on proprietary datasets, which creates reproducibility barriers. In this paper, we propose…

Computer Vision and Pattern Recognition · Computer Science 2024-06-13 Naoto Inoue , Kento Masui , Wataru Shimoda , Kota Yamaguchi

Thanks to modern understanding of stellar evolution, we can accurately measure the age of Open Clusters (OCs). Given their position, they are ideal tracers of the Galactic disc. Gaia data release 2, besides providing precise parallaxes, led…

Both star clusters and variable stars are sensitive laboratories of stellar astrophysics and evolution: cluster member stars provide context for interpreting cluster populations, whereas variability reveals the nature of individual stellar…

Solar and Stellar Astrophysics · Physics 2025-08-19 Richard I. Anderson , Emily L. Hunt

It is widely accepted that traditional modular structures suffer from the dominant decomposition problem. Therefore, to improve current modularity views, it is important to investigate the impact of design decisions concerning modularity in…

Software Engineering · Computer Science 2015-06-19 Luciana Silva , Daniel Felix , Marco Tulio Valente , Marcelo Maia

The purpose of the present work is a detailed investigation of the dynamical evolutionof Collinder 135 and UBC 7 star clusters. We present a set of dynamical numerical simulationsusing realistic star clusterN-body modeling technique with…

Astrophysics of Galaxies · Physics 2023-02-01 Marina Ishchenko , Peter Berczik , Nina Kharchenko

This is a progress report on the ongoing project dealing with ensemble asteroseismology of B-type stars in young open clusters. The project is aimed at searches for B-type pulsating stars in open clusters, determination of atmospheric…

Solar and Stellar Astrophysics · Physics 2016-03-24 Dawid Moździerski , Andrzej Pigulski

We describe a Monte Carlo scheme which, in a single simulation, yields a measurement of the chemical potential of a crystalline solid. Within the isobaric ensemble, this immediately provides an estimate of the system free energy, with…

Statistical Mechanics · Physics 2015-06-11 Nigel B. Wilding , Peter Sollich

We introduce a new binary detection technique, Binary INformation from Open Clusters using SEDs (binocs), which we show is able to determine reliable stellar multiplicity and masses over a much larger mass range than current approaches.…

Solar and Stellar Astrophysics · Physics 2021-03-10 Benjamin Thompson , Peter M. Frinchaboy , Taylor Spoo , John Donor

We present a circularity transition index based on open data principles and circularity of energy, material, and information. The aim of the Circular City Index is to provide data and a succinct measurement of the attributes related to…

BPEC is an R package for Bayesian Phylogeographic and Ecological Clustering which allows geographical, environmental and phenotypic measurements to be combined with DNA sequences in order to reveal clustered structure resulting from…

Applications · Statistics 2018-09-19 Ioanna Manolopoulou , Axel Hille , Brent Emerson

In this paper I present some experiences made in the matter of I/O for Linux Clustering. In particular is illustrated the use of the package openMosix, a balancer of workload for processes running in a cluster of nodes. I describe some…

Distributed, Parallel, and Cluster Computing · Computer Science 2007-05-23 Gianluca Argentini

Motivation: In this paper we present the latest release of EBIC, a next-generation biclustering algorithm for mining genetic data. The major contribution of this paper is adding support for big data, making it possible to efficiently run…

Genomics · Quantitative Biology 2024-09-05 Patryk Orzechowski , Jason H. Moore

We show our results from the application of the Multiphase chemical evolution model to a set of Bulges of spiral galaxies

Astrophysics · Physics 2009-11-06 Mercedes Molla , Federico Ferrini

Genome wide comparisons between enteric bacteria yield large sets of conserved putative regulatory sites on a gene by gene basis that need to be clustered into regulons. Using the assumption that regulatory sites can be represented as…

Biological Physics · Physics 2009-11-07 Erik van Nimwegen , Mihaela Zavolan , Nikolaus Rajewsky , Eric D. Siggia

Determination of functions for poorly characterized genes is crucial for understanding biological processes and studying human diseases. Functionally associated genes are often gained and lost together through evolution. Therefore…

Applications · Statistics 2018-08-21 Yang Li , Shaoyang Ning , Sarah E. Calvo , Vamsi K. Mootha , Jun S. Liu