905,580 research outputs found
THE ELECTRONIC CONSUMPTION IN A LOW-INCOME GROUP: REPORTS OF AN ETHNOGRAPHY
Since the studies on consumption today occupy a position of importance in both the field of consumer research, as in the social sciences, linked to the perception that little has researched the symbolic universe of low-income individuals, we sought through this research to investigate the following question: how the experiences of consumer electronics for low-income consumers interact with the cultural and symbolic system involved in the flow of everyday social life. For this, we conducted an ethnographic study of inspiration in order to experience the daily life of consumers in their natural environment through in-depth interviews, observations and field notes. The empirical research data were examined based on content analysis. As a result, it can be noted that the experiences of consumer electronics to poor consumers can realize an intense relationship with the cultural and symbolic system built between individuals
Application of Semantics to Solve Problems in Life Sciences
Fecha de lectura de Tesis: 10 de diciembre de 2018La cantidad de información que se genera en la Web se ha incrementado en los últimos años. La mayor parte de esta información se encuentra accesible en texto, siendo el ser humano el principal usuario de la Web. Sin embargo, a pesar de todos los avances producidos en el área del procesamiento del lenguaje natural, los ordenadores tienen problemas para procesar esta información textual. En este cotexto, existen dominios de aplicación en los que se están publicando grandes cantidades de información disponible como datos estructurados como en el área de las Ciencias de la Vida. El análisis de estos datos es de vital importancia no sólo para el avance de la ciencia, sino para producir avances en el ámbito de la salud. Sin embargo, estos datos están localizados en diferentes repositorios y almacenados en diferentes formatos que hacen difÃcil su integración. En este contexto, el paradigma de los Datos Vinculados como una tecnologÃa que incluye la aplicación de algunos estándares propuestos por la comunidad W3C tales como HTTP URIs, los estándares RDF y OWL. Haciendo uso de esta tecnologÃa, se ha desarrollado esta tesis doctoral basada en cubrir los siguientes objetivos principales: 1) promover el uso de los datos vinculados por parte de la comunidad de usuarios del ámbito de las Ciencias de la Vida 2) facilitar el diseño de consultas SPARQL mediante el descubrimiento del modelo subyacente en los repositorios RDF 3) crear un entorno colaborativo que facilite el consumo de Datos Vinculados por usuarios finales, 4) desarrollar un algoritmo que, de forma automática, permita descubrir el modelo semántico en OWL de un repositorio RDF, 5) desarrollar una representación en OWL de ICD-10-CM llamada Dione que ofrezca una metodologÃa automática para la clasificación de enfermedades de pacientes y su posterior validación haciendo uso de un razonador OWL
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Early Social Stress Promotes Inflammation and Disease Risk in Rhesus Monkeys.
Early social stress has potent lifelong health effects. We examined the association of early stress in the attachment relationship (low maternal sensitivity, low MS), lower maternal social hierarchy rank, and greater frequency of group-level social conflict, with biomarkers of inflammatory stress response in plasma (IL-8, MCP-1 and CRP collected two hours after temporary separation from mothers and social groups) and risk for developing a common macaques disease outcome (infectious colitis) in 170 socially-housed rhesus monkeys. We controlled for gene-environment correlations by comparing cross-fostered subjects with infants reared by their biological mothers. Low MS predicted higher levels of pro-inflammatory cytokines and proteins at 3-4 months of age (F(3, 162) = 3.508, p = 0.002, partial eta2 = 0.061) and higher lifetime risk for developing colitis for up to twelve years of age (chi square = 5.919, p = 0.026). Lower maternal social rank (F (3, 162) = 3.789, p = 0.012, partial eta2 = 0.06) and higher rates of social conflict (F (3, 162) = 4.264, p = 0.006, partial eta2 = 0.074) each also predicted greater inflammation in infancy, but not lifetime colitis risk (both p > 0.05). The effects of low MS, lower social rank, and higher social conflict were significant in infants reared by biological mothers and cross-fostered infants, suggesting that our results did not arise from gene-environment correlations, but environmental stressors alone. We conclude that several types of early social stress confer risk for inflammation in infancy, but that stress in the mother-infant relationship may confer the longest-term risk for adverse health outcomes
Do human ‘life history strategies’ exist?
Interest in incorporating life history research from evolutionary biology into the human sciences has grown rapidly in recent years. Two core features of this research have the potential to prove valuable in strengthening theoretical frameworks in the health and social sciences: the idea that these is a fundamental trade-off between reproduction and health; and that environmental influences are important in determining individual life histories. For example, the idea that mortality risk in the environment shifts individuals along a ‘fast-slow continuum’ of ‘life history strategy’ is now popular in the evolutionary human sciences. In biology, ‘fast’ life history strategists prioritise reproduction over health so that individuals grow quickly, reproduce early and often, and suffer a rapid deterioration in health and relatively early death; ‘slow’ strategists start reproducing later, have fewer offspring, and die at an older age. Evolutionary human scientists tend to assume that, along with these life history outcomes, several behavioural traits, such as parenting, mating and risk-taking behaviour and, in the most expansive version, a whole suite of psychological and personality traits also cluster together into ‘fast’ and ‘slow’ life histories. Here, I review the different approaches to life history strategies from evolutionary anthropologists, developmental psychologists and evolutionary psychologists, in order to assess the theoretical and empirical evidence for human ‘life history strategies’. While there is precedent in biology for the argument that some behavioural traits, notably risk-taking behaviour, may be linked in predictable ways with life history outcomes, there is relatively little theoretical or empirical justification for including a very wide range of behavioural traits in a ‘life history strategy’. Given the diversity and lack of consistency in this human life history literature, I then make recommendations for improving its usefulness: 1) greater clarity over terminology, so that a distinction is made between life history outcomes such as age at maturity, first birth and death, and behavioural traits which may be associated with life history outcomes but are not life history traits themselves; 2) more empirical data on linkages between life history traits, behavioural traits and the environment, including the underlying mechanisms which generate these linkages; 3) more empirical work on life history strategies in a much broader range of populations than has so far been studied. Such a research programme on human life history has the potential to produce valuable insights for the health and social sciences, not least because of its interest in environmental influences on health, reproduction and behaviour.</p
Public understanding of science and common sense: Social representations of the human microbiome among the expert and non-expert public
The aim of this investigation is to examine the structure and the content of different social groups’ representations of the human microbiome. We employed a non-probabilistic sample comprising two groups of participants. The first group (n = 244) included university students. The second group included lay people (n = 355). We chose a mixed-method approach. The data obtained were processed using IRaMuTeQ software. The results allow us to identify the anchoring and objectification processes activated by the two different groups of interviewees. The results could be useful to those in charge of implementing campaigns aimed at promoting health literac
Environmental conditions can modulate the links among oxidative stress, age, and longevity
Understanding the links between environmental conditions and longevity remains a major focus in biological research. We examined within-individual changes between early- and mid-adulthood in the circulating levels of four oxidative stress markers linked to ageing, using zebra finches (Taeniopygia guttata): a DNA damage product (8-hydroxy-2′-deoxyguanosine; 8-OHdG), protein carbonyls (PC), non-enzymatic antioxidant capacity (OXY), and superoxide dismutase activity (SOD). We further examined whether such within-individual changes differed among birds living under control (ad lib food) or more challenging environmental conditions (unpredictable food availability), having previously found that the latter increased corticosterone levels when food was absent but improved survival over a three year period. Our key findings were: (i) 8-OHdG and PC increased with age in both environments, with a higher increase in 8-OHdG in the challenging environment; (ii) SOD increased with age in the controls but not in the challenged birds, while the opposite was true for OXY; (iii) control birds with high levels of 8-OHdG died at a younger age, but this was not the case in challenged birds. Our data clearly show that while exposure to the potentially damaging effects of oxidative stress increases with age, environmental conditions can modulate the pace of this age–related change
The Community Structure of R&D Cooperation in Europe. Evidence from a social network perspective
The focus of this paper is on pre-competitive R&D cooperation across Europe, as captured by R&D joint ventures funded by the European Commission in the time period 1998-2002, within the 5th Framework Program. The cooperations in this Framework Program give rise to a bipartite network with 72,745 network edges between 25,839 actors (representing organizations that include firms, universities, research organizations and public agencies) and 9,490 R&D projects. With this construction, participating actors are linked only through joint projects.
In this paper we describe the community identification problem based on the concept of modularity, and use the recently introduced label-propagation algorithm to identify communities in the network, and differentiate the identified communities by developing community-specific profiles using social network analysis and geographic visualization techniques. We expect the results to enrich our picture of the European Research Area by providing new insights into the global and local structures of R&D cooperation across Europe
From Artifacts to Aggregations: Modeling Scientific Life Cycles on the Semantic Web
In the process of scientific research, many information objects are
generated, all of which may remain valuable indefinitely. However, artifacts
such as instrument data and associated calibration information may have little
value in isolation; their meaning is derived from their relationships to each
other. Individual artifacts are best represented as components of a life cycle
that is specific to a scientific research domain or project. Current cataloging
practices do not describe objects at a sufficient level of granularity nor do
they offer the globally persistent identifiers necessary to discover and manage
scholarly products with World Wide Web standards. The Open Archives
Initiative's Object Reuse and Exchange data model (OAI-ORE) meets these
requirements. We demonstrate a conceptual implementation of OAI-ORE to
represent the scientific life cycles of embedded networked sensor applications
in seismology and environmental sciences. By establishing relationships between
publications, data, and contextual research information, we illustrate how to
obtain a richer and more realistic view of scientific practices. That view can
facilitate new forms of scientific research and learning. Our analysis is
framed by studies of scientific practices in a large, multi-disciplinary,
multi-university science and engineering research center, the Center for
Embedded Networked Sensing (CENS).Comment: 28 pages. To appear in the Journal of the American Society for
Information Science and Technology (JASIST
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