A Contextual Analysis of the Council of Europe's Convention on Preventing and Combating Violence against Women

This article examines the Council of Europe’s recent Convention on Preventing and Combating Violence against Women. The focus of this paper is on the specific issue of domestic violence. The article seeks to place the Convention in the context of other developments as regards the analysis of domestic violence as a human rights issue.

Judging pain in infants:behavioural, contextual, and developmental determinants

Caretakers intuitively use various sources of evidence when judging infant pain, but the relative importance of salient cues has received little attention. This investigation examined the predictive significance for judgements of painful discomfort in preterm and full-term neonates of behavioural (facial activity and body movement), contextual (invasiveness of the procedure), and developmental (gestational age) information. Judges viewed videotapes showing infants varying in the foregoing characteristics undergoing heel incisions for routine blood sampling purposes. Findings indicated all but the contextual information contributed uniquely to judgements of pain, with facial activity accounting for the most unique variance (35%), followed by bodily activity and gestational age, each accounting for 3% and 1% of the judgmental variance, respectively. Generally, 71% of the variance in ratings of pain could be predicted using facial activity alone, compared to 30% of the variance using bodily activity alone, 19% by relying on context alone, and 8% by referring to gestational age alone. Noteworthy was the tendency to judge early preterm infants to be experiencing less pain even though they were subjected to the same invasive procedure as the older infants. This finding also runs counter to evidence from developmental neurobiology which indicates that preterm newborns may be hypersensitive to invasive procedures.

The Development of the Contextual Analysis of Human Remains in Ireland

The colonial experience has been a dominant factor in the production of culture in Ireland, including narratives of the past. In the context of nineteenth century British imperialism, physical anthropology and archaeology were just two of a number of scientific discourses recruited to rationalise and justify colonialist policies. Legitimation was in part provided by racialised and sectarian conceptualisations of local populations in both past and present. After the partition of the island in the early twentieth century, racialised notions of the Irish population were embraced by both nationalist movements (green and orange) on the island. Changes came with the impact of processual archaeology and the appearance of bioarchaeology in the early 1980s, the latter directly influenced by the North American tradition. The last two decades have seen considerable achievements in bioarchaeology in Ireland. The profile of the discipline has been raised, and despite the impact of the recent economic downturn, the number of archaeologists gaining the necessary specialist skills has finally reached critical mass. The focus in Irish bioarchaeology is now on synthetic and thematic projects, and a number of initiatives are currently underway which will go some way towards furthering understanding of the past populations of Ireland.

Contextual Intrusion Alerts for SCADA Networks

The complexity of modern SCADA networks and their associated cyber-attacks requires an expressive but flexible manner for representing both domain knowledge and collected intrusion alerts with the ability to integrate them for enhanced analytical capabilities and better understanding of attacks. This paper proposes an ontology-based approach for contextualized intrusion alerts in SCADA networks. In this approach, three security ontologies were developed to represent and store information on intrusion alerts, Modbus communications, and Modbus attack descriptions. This information is correlated into enriched intrusion alerts using simple ontology logic rules written in Semantic Query-Enhanced Web Rules (SQWRL). The contextualized alerts give analysts the means to better understand evolving attacks and to uncover the semantic relationships between sequences of individual attack events. The proposed system is illustrated by two use case scenarios.

Estudo exploratório das relações entre a vaidade, a auto-estima contextual, a satisfação com a vida, as atitudes monetárias e o materialismo numa amostra portuguesa

Dissertação de mestrado, Psicologia (Psicologia Social e das Organizações), Faculdade de Ciências Humanas e Sociais, Universidade do Algarve, 2013

Places and preferences: a longitudinal analysis of self-selection and contextual effects

Contextual theories of political behaviour assert that the contexts in which people live influence their political beliefs and vote choices. Most studies of political assimilation, however, rely on cross-sectional data and fail to distinguish contextual influence from self-selection of individuals into areas. This paper advances understanding of this longstanding controversy by tracking thousands of individuals over an 18-year period in England. We observe individual-level left-right position and party identification before and after residential moves across areas with different political orientations. We find evidence of both non-random selection into areas and assimilation of new entrants to the majority political orientation. However, these effects are contingent on the type of area an individual moves to and, moreover, contextual effects are weak and dominated by the larger effect of self-selection into areas.

Image quality optimization, via application of contextual contrast sensitivity and discrimination functions

What is the best luminance contrast weighting-function for image quality optimization? Traditionally measured contrast sensitivity functions (CSFs), have been often used as weighting-functions in image quality and difference metrics. Such weightings have been shown to result in increased sharpness and perceived quality of test images. We suggest contextual CSFs (cCSFs) and contextual discrimination functions (cVPFs) should provide bases for further improvement, since these are directly measured from pictorial scenes, modeling threshold and suprathreshold sensitivities within the context of complex masking information. Image quality assessment is understood to require detection and discrimination of masked signals, making contextual sensitivity and discrimination functions directly relevant. In this investigation, test images are weighted with a traditional CSF, cCSF, cVPF and a constant function. Controlled mutations of these functions are also applied as weighting-functions, seeking the optimal spatial frequency band weighting for quality optimization. Image quality, sharpness and naturalness are then assessed in two-alternative forced-choice psychophysical tests. We show that maximal quality for our test images, results from cCSFs and cVPFs, mutated to boost contrast in the higher visible frequencies.

Contextual intelligent load management with ANN adaptive learning module

With the current increase of energy resources prices and environmental concerns intelligent load management systems are gaining more and more importance. This paper concerns a SCADA House Intelligent Management (SHIM) system that includes an optimization module using deterministic and genetic algorithm approaches. SHIM undertakes contextual load management based on the characterization of each situation. SHIM considers available generation resources, load demand, supplier/market electricity price, and consumers’ constraints and preferences. The paper focus on the recently developed learning module which is based on artificial neural networks (ANN). The learning module allows the adjustment of users’ profiles along SHIM lifetime. A case study considering a system with fourteen discrete and four variable loads managed by a SHIM system during five consecutive similar weekends is presented.

Distribution system operation supported by contextual energy resource management based on intelligent SCADA

Future distribution systems will have to deal with an intensive penetration of distributed energy resources ensuring reliable and secure operation according to the smart grid paradigm. SCADA (Supervisory Control and Data Acquisition) is an essential infrastructure for this evolution. This paper proposes a new conceptual design of an intelligent SCADA with a decentralized, flexible, and intelligent approach, adaptive to the context (context awareness). This SCADA model is used to support the energy resource management undertaken by a distribution network operator (DNO). Resource management considers all the involved costs, power flows, and electricity prices, allowing the use of network reconfiguration and load curtailment. Locational Marginal Prices (LMP) are evaluated and used in specific situations to apply Demand Response (DR) programs on a global or a local basis. The paper includes a case study using a 114 bus distribution network and load demand based on real data.

Contextual Intelligent Load Management Considering Real-Time Pricing in a Smart Grid Environment

The use of demand response programs enables the adequate use of resources of small and medium players, bringing high benefits to the smart grid, and increasing its efficiency. One of the difficulties to proceed with this paradigm is the lack of intelligence in the management of small and medium size players. In order to make demand response programs a feasible solution, it is essential that small and medium players have an efficient energy management and a fair optimization mechanism to decrease the consumption without heavy loss of comfort, making it acceptable for the users. This paper addresses the application of real-time pricing in a house that uses an intelligent optimization module involving artificial neural networks.