Search results for "NETWORKS"

#Underboobselfie, #aftersexselfie, #bikinibridgeselfie... La sexualité reste-t-elle encore un tabou dans les réseaux sociaux?

2017

Our contribution deals with computer-mediated communication, especially social networks. Our main task is to answer the question if sexuality in the context of new media continue to be perceived as a taboo. Based on examples of different types of selfies, we try to prove that the perception of sexuality in the context of computer mediated communication is constantly changing and ceases to be a taboo topic. Proof of this constatation is different types of selfies, which the author divides into three main categories: selfies revealing intimate parts of human body, selfies showing underwear and selfies that reveal the sexual act itself.

National Social Life, Health, and Aging Project (NSHAP): Round 1, [United States], 2005-2006

2007

The National Social Life, Health and Aging Project (NSHAP) is the first population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships. The National Opinion Research Center (NORC), along with Principal Investigators at the University of Chicago, conducte…

Expanding Well-Being by Participating in Grassroots Innovations: Using the Capability Approach to Explore the Interest of Alternative Food Networks f…

2022

Abstract Grassroots social innovations are citizen-led initiatives that develop bottom-up solutions to societal challenges. Alternative food networks (AFNs) are innovations which propose alternative schemes for distribution and consumption of food—such as community-based agriculture or food cooperatives—which can improve the well-being of participants. Its potential for social work and social services has been recognised, but remains underexplored. This paper proposes a theoretical framework based on the capability approach in order to explore the impacts, drivers and factors at play in the expansion of well-being in participants in AFNs. This framework is applied to address seven cases of …

A bibliometric analysis of cultural heritage research in the humanities: The Web of Science as a tool of knowledge management

2023

AbstractSubstantial research on the topic of cultural heritage has been conducted over the past two decades. At the same time, the overall output volume of journals and citation metrics have become important parameters in assessing and ranking researchers’ performance. Even though the scholarly interest in cultural heritage has recently increased world-wide, a comprehensive analysis of the publication output volume and its correlation to the shift in the cultural heritage regime starting in 2003 is still lacking. The article aims to understand the role of Web of Science (WOS) as a tool of knowledge management in academia by drawing on the scholarly output volume, the patterns displayed by t…

Stakeholder salience for small businesses : a social proximity perspective

2017

This paper advances stakeholder salience theory from the viewpoint of small businesses. It is argued that the stakeholder salience process for small businesses is influenced by their local embeddedness, captured by the idea of social proximity, and characterised by multiple relationships that the owner-manager and stakeholders share beyond the business context. It is further stated that the ethics of care is a valuable ethical lens through which to understand social proximity in small businesses. The contribution of the study conceptualises how the perceived social proximity between local stakeholders and small business owner-managers influences managerial considerations of the legitimacy, …

Koululuokan toverisuhteet : kuudesluokkalaisten sosiaaliset taipumukset, keskinäiset ystävyyssuhteet ja sosiaalinen status

1998

SparseHC: A Memory-efficient Online Hierarchical Clustering Algorithm

2014

Computing a hierarchical clustering of objects from a pairwise distance matrix is an important algorithmic kernel in computational science. Since the storage of this matrix requires quadratic space with respect to the number of objects, the design of memory-efficient approaches is of high importance to this research area. In this paper, we address this problem by presenting a memory-efficient online hierarchical clustering algorithm called SparseHC. SparseHC scans a sorted and possibly sparse distance matrix chunk-by-chunk. Meanwhile, a dendrogram is built by merging cluster pairs as and when the distance between them is determined to be the smallest among all remaining cluster pairs. The k…

Continuum: A spatiotemporal data model to represent and qualify filiation relationships

2013

International audience; This work introduces an ontology-based spatio-temporal data model to represent entities evolving in space and time. A dynamic phenomenon generates a complex relationship network between the entities involved in the process. At the abstract level, the relationships can be identity or topological filiations. The existence of an identity filiation depends on whether the object changes its identity or not. On the other hand, topological filiations are based exclusively on the spatial component, like in the case of growth, reduction, merging or splitting. When combining identity and topological filiations, six filiation relationships are obtained, forming a second abstrac…

The «villages» of Paris: revealing the organization of geographical areas by aggregating preferential human movements

2013

International audience

Application of neural networks in diagnostics of chemical compounds based on their infrared spectra

2017

Abstract The paper presents possibilities of using the so-called „finger-print“ identification method and artificial neural network (ANN) for diagnosis of chemical compounds. The construction of a tool specifically developed for this purpose and the ANN, as well as the required conditions for its proper functioning were described. The identification of chemical compounds was tested in two different ways for proving correctness of the assumptions. First of all, initial studies were carried out with the objective to verify the proper functioning of the developed procedure for IR spectrum interpretation. The second research stage was to find out how the properties of artificial neural networks…