In the article, on the basis of observational data the problems of the specific frequency of globular clusters are studied. Possible relationships between them and the absolute stellar magnitude of their host galaxy are considered, where the observational data published in the literature were...

The aim of the research work is to identify the existing strategies of selected clusters and develop recommendations for taking into account the principles of Corporate Social Responsibility (CSR) in cluster operations. CSR gains these days more and more attention. It is connected with the...

The geometric structures, energetic and electronic properties of global minima of the AlBe n ( n = 1–12) clusters have been systemically studied by using the hybrid density functional theory [B3LYP] and coupled cluster [CCSD(T)] methods. It is found that the impurity Al atom is externally...

The outbreak of the highly infectious SARS-CoV-2 has been declared by the WHO as a public health emergency of international concern, since early 2020. The virus has led to a huge number of deaths and has caused major damage to the worldwide economy. In particular, countries with high reliance on...

This paper considers the role of “cluster” markets in antitrust litigation, the minimum requirements for recognizing such markets, and the relevance of network effects in identifying them.One foundational requirement of markets in antitrust cases is that they consist of products that are...

The depth of the Great Recession and the current COVID-19 crisis have increased the interest in the economic resilience of regions. This paper evaluates the role of clusters in the resilience of regional industry employment to economic downturns. Regions specialized in particular clusters...

Network data commonly consists of observations on a single large network. Accordingly, researchers often partition the network into clusters in order to apply cluster-robust inference methods. All existing such methods require clusters to be asymptotically independent. We show that for this...

The presented paper is focused on satellite image analysis using GRASS GIS. The aim is to perform comparative analysis of the land cover changes in Tokyo metropolitan area through spatial analysis. Data include multi-temporal Landsat TM satellite images on 2002, 2006 and 2011. The images were...

The outbreak of COVID-19 had disruptive effects on China, and in this moment, and is spreading all over the world. The spread of the virus had impacted strongly on global markets and, at the same time, have threatened economic growth. Time-series clustering helps detect the relevant...

Random forests are invariant and robust estimators that can fit complex interactions between input data of different types and binary, categorical, or continuous outcome variables, including those with multiple dimensions. In addition to these desirable properties, random forests impose a...