Social support from the perspective of adolescent victims of domestic violence

Objective: Assess the understanding of adolescents regarding the social support received in situations of domestic violence. Method: A qualitative study with data collection carried out through focus groups with 17 adolescent victims of domestic violence, institutionally welcomed in Campinas-SP, and through semi-structured interviews with seven of these adolescents. Information was analyzed by content analysis, thematic modality. Results: Observing the thematic categories it was found that social support for the subjects came from the extended family, the community, the Guardianship Council, the interpersonal relationships established at the user embracement institution and from the religiosity/spirituality. Conclusion: The mentioned sources of support deserve to be enhanced and expanded. With the current complexity of the morbidity and mortality profiles, especially in children and adolescents, the (re)signification and the (re)construction of health actions is imperative.



Strategies for self-management support by patients with stroke: integrative review

OBJECTIVE To analyze strategies for self-management support by patients with stroke in the light of the methodology of the five A's (ask, advice, assess, assist and arrange). METHODS Integrative review conducted at the following databases CINAHL, SCOPUS, PubMed, Cochrane and LILACS. RESULTS A total of 43 studies published between 2000 and 2013 comprised the study sample. All proposed actions in the five A's methodology and others were included. We highlight the Assist and Arrange, in which we added actions, especially with regard to the use of technological resources and joint monitoring between patients, families and professionals. No study included all five A's, which suggests that the actions of supported self-management are developed in a fragmented way. CONCLUSION The use of five A's strategy provides guidelines for better management of patients with stroke with lower cost and higher effectiveness.

Knowledge of the Portuguese population on Basic Life Support and availability to attend training

OBJECTIVETo evaluate the level of knowledge and the availability of the Portuguese population to attend training in Basic Life Support (BLS) and identify factors related to their level of knowledge about BLS.METHODObservational study including 1,700 people who responded to a questionnaire containing data on demography, profession, training, interest in training and knowledge about BLS.RESULTSAmong 754 men and 943 women, only 17.8% (303) attended a course on BLS, but 95.6% expressed willingness to carry out the training. On average, they did not show good levels of knowledge on basic life support (correct answers in 25.9 ± 11.5 of the 64 indicators). Male, older respondents who had the training and those who performed BLS gave more correct answers, on average (p<0.01).CONCLUSIONThe skill levels of the Portuguese population are low, but people are available for training, hence it is important to develop training courses and practice to improve their knowledge.

Adolescent support networks in a health care context: the interface between health, family and education

AbstractOBJECTIVEAnalyze adolescents' perceptions about support networks and their health needs.METHODAnalytical and interpretive study using focus groups conducted in municipal state schools in Fortaleza, in the State of Ceará during the first semester of 2012. The sample comprised 36 male and female adolescents aged between 13 and 16 years attending the ninth grade of the second phase of elementary school.RESULTSThematic analysis revealed that the health care support network and interaction between health professionals, education professionals and family members was insufficient, constituting a lack of an integrated network to enable and provide support for health promotion.CONCLUSIONCoordination between education, health and family services has the potential to act as a support network to help meet adolescents' healthcare needs and demands.

A polynomial algorithm for special case of the one-machine scheduling problem with time-lags

The standard one-machine scheduling problem consists in schedulinga set of jobs in one machine which can handle only one job at atime, minimizing the maximum lateness. Each job is available forprocessing at its release date, requires a known processing timeand after finishing the processing, it is delivery after a certaintime. There also can exists precedence constraints between pairsof jobs, requiring that the first jobs must be completed beforethe second job can start. An extension of this problem consistsin assigning a time interval between the processing of the jobsassociated with the precedence constrains, known by finish-starttime-lags. In presence of this constraints, the problem is NP-hardeven if preemption is allowed. In this work, we consider a specialcase of the one-machine preemption scheduling problem with time-lags, where the time-lags have a chain form, and propose apolynomial algorithm to solve it. The algorithm consist in apolynomial number of calls of the preemption version of the LongestTail Heuristic. One of the applicability of the method is to obtainlower bounds for NP-hard one-machine and job-shop schedulingproblems. We present some computational results of thisapplication, followed by some conclusions.

Beyond Smith's rule: An optimal dynamic index, rule for single machine stochastic scheduling with convex holding costs

Most research on single machine scheduling has assumedthe linearity of job holding costs, which is arguablynot appropriate in some applications. This motivates ourstudy of a model for scheduling $n$ classes of stochasticjobs on a single machine, with the objective of minimizingthe total expected holding cost (discounted or undiscounted). We allow general holding cost rates that are separable,nondecreasing and convex on the number of jobs in eachclass. We formulate the problem as a linear program overa certain greedoid polytope, and establish that it issolved optimally by a dynamic (priority) index rule,whichextends the classical Smith's rule (1956) for the linearcase. Unlike Smith's indices, defined for each class, ournew indices are defined for each extended class, consistingof a class and a number of jobs in that class, and yieldan optimal dynamic index rule: work at each time on a jobwhose current extended class has larger index. We furthershow that the indices possess a decomposition property,as they are computed separately for each class, andinterpret them in economic terms as marginal expected cost rate reductions per unit of expected processing time.We establish the results by deploying a methodology recentlyintroduced by us [J. Niño-Mora (1999). "Restless bandits,partial conservation laws, and indexability. "Forthcomingin Advances in Applied Probability Vol. 33 No. 1, 2001],based on the satisfaction by performance measures of partialconservation laws (PCL) (which extend the generalizedconservation laws of Bertsimas and Niño-Mora (1996)):PCL provide a polyhedral framework for establishing theoptimality of index policies with special structure inscheduling problems under admissible objectives, which weapply to the model of concern.

Mapping of Environmental Data Using Kernel-Based Methods

Recently, kernel-based Machine Learning methods have gained great popularity in many data analysis and data mining fields: pattern recognition, biocomputing, speech and vision, engineering, remote sensing etc. The paper describes the use of kernel methods to approach the processing of large datasets from environmental monitoring networks. Several typical problems of the environmental sciences and their solutions provided by kernel-based methods are considered: classification of categorical data (soil type classification), mapping of environmental and pollution continuous information (pollution of soil by radionuclides), mapping with auxiliary information (climatic data from Aral Sea region). The promising developments, such as automatic emergency hot spot detection and monitoring network optimization are discussed as well.

Catalan government popularity. An example of economic effects on sub-national government support

The aim of this essay is to deal with economic voting in contexts ofmultilevel governance and to be a contribution to the debate on attribution of responsibilities in popularity functions literature. We use aggregate and individual data from Catalonia in order to analyse the relation between the state of the economy and the support for a sub-state government. The empirical analysis shows that the responsibility hypothesis works in regional governments without explicit macroeconomic competencies. We have also considered the evaluations of government performance on certain specific policies in order to clarify and determine the factors that drive Catalan government support. The article considers the implications of the findings for future attempts to model party support in a context of the European Union.

CRIMINAL JUSTICE, VICTIM SUPPORT CENTERS, AND THE EMOTIONAL WELLBEING OF CRIME VICTIMS

SUMMARY (Français au-dessous)After the Second World War, the role of the victim in criminal conflict became an objectof interest for academics. But it was only in the 1960s that the importance of providingprotection and assistance to crime victims was highlighted in particular by the victims'movement, which inaugurated a new era of criminal justice in systems throughout the world.Moving beyond just the role of controlling crime and punishing the offender, the criminaljustice system also began to contribute to the victims' rehabilitation and to help the victim tomove on from the event psychologically and emotionally.Although some criminological research has been conducted, to date the effect that thecriminal justice system and victim support services have on the well-being of crime victims isstill uncertain.The current study sought to understand better the healing process of victims of crime, thepotential consequences of their participation on the criminal justice system, and the supportof victim centers. Moreover, it aimed to find out whether the existence of a Victim SupportAct would change the treatment that the victim receives in the criminal justice system. Thusthis research was conducted based in two countries - Switzerland and Brazil - where theoutcome of the victims' movement on the criminal justice system was different, as was theparticipation of the victim in the criminal justice system and the government's provision ofsupport.In order to conduct this research we employed the qualitative method, which is the mostefficient to gather sensitive information. Interviews with crime victims were the main sourceof information. Hearing observation and document research were used as complementarysources.The results of this research show that victims who have contact with the criminal justicesystem and victim services are not more likely to recover than those who had no contact. Thisis to say, the support offered has no major effects; the influence of the criminal justice systemand the victim support services in the emotional well-being of crime victims is rather neutral.However, considering that the sample is not representative, findings are not expected to begeneralized. Instead, findings may give insight to practitioners or to future criminal justicepolicy makers, suggesting what may work to improve the emotional well-being of crimevictims, as well as suggesting further studies.________________________________________________________________________________RÉSUMÉAprès la deuxième guerre mondiale, le rôle de la victime est devenu un objet d'intérêtpour les académiciens. Par contre, c'est seulement dans les années 60 que l'importance defournir de la protection et de l'appui aux victimes d'infractions a été accentuée, en particulierpar un mouvement ― victims' mouvement ―, qui a inauguré un nouveau temps dans lajustice pénale des systèmes juridiques du monde entier. A part la fonction de contrôler lecrime et de punir le délinquant, le système de justice pénale joue également un rôle dans laréhabilitation des victimes.Malgré la réalisation de plusieurs recherches criminologiques sur ce sujet, les effets que lesystème de la justice pénale et les centres d'aides aux victimes ont sur le bien-être desvictimes d'infractions est encore incertain.Ainsi cette étude cherche à mieux comprendre le processus de réhabilitation des victimesd'infraction, les conséquences de leur participation dans le système de justice pénale ainsique la portée de l'appui des centres d'aide. De plus, l'étude vise à découvrir si l'existenced'une loi d'aide aux victimes, particulièrement la Loi d'Aide aux Victimes d'InfractionsLAVI, est susceptible de changer le traitement que la victime reçoit dans le système de lajustice pénale. Pour cela, elle a été conduite dans deux pays - la Suisse et le Brésil - où lesconséquences du mouvement des victimes sur le système de la justice pénale a eu undéveloppement différent; il en va de même pour la participation de la victime dans laprocédure pénale et pour l'appui offert par l'Etat.Cette étude utilise la méthode qualitative qui est la plus efficace pour le recueild'informations sensibles. La plus importante source des données sont les interviews avec lesvictimes. L'observation des audiences et l'analyse de documents ont été utilisés en tant quesources d'information complementáire.Les résultats de cette recherche montrent que les victimes qui ont porté plainte et qui ontreçu l'appui des centres d'aides ne sont pas mieux rétablies que celles qui n'ont rien fait. C'estainsi que nous avons conclu que les services offerts n'ont aucune influence dans ce processus.Cependant, considérant que notre échantillon n'est pas représentatif, il n'est pas possible degénéraliser nos résultats. Néanmoins, ceux-ci peuvent éclairer les praticiens ou les futursdécideurs politiques de la justice pénale, suggérant ce qui peut fonctionner pour lerétablissement des victimes d'infraction, aussi bien que suggérer d'autres études.

Patterns of calcium-binding proteins support parallel and hierarchical organization of human auditory areas.

The human primary auditory cortex (AI) is surrounded by several other auditory areas, which can be identified by cyto-, myelo- and chemoarchitectonic criteria. We report here on the pattern of calcium-binding protein immunoreactivity within these areas. The supratemporal regions of four normal human brains (eight hemispheres) were processed histologically, and serial sections were stained for parvalbumin, calretinin or calbindin. Each calcium-binding protein yielded a specific pattern of labelling, which differed between auditory areas. In AI, defined as area TC [see C. von Economo and L. Horn (1930) Z. Ges. Neurol. Psychiatr.,130, 678-757], parvalbumin labelling was dark in layer IV; several parvalbumin-positive multipolar neurons were distributed in layers III and IV. Calbindin yielded dark labelling in layers I-III and V; it revealed numerous multipolar and pyramidal neurons in layers II and III. Calretinin labelling was lighter than that of parvalbumin or calbindin in AI; calretinin-positive bipolar and bitufted neurons were present in supragranular layers. In non-primary auditory areas, the intensity of labelling tended to become progressively lighter while moving away from AI, with qualitative differences between the cytoarchitectonically defined areas. In analogy to non-human primates, our results suggest differences in intrinsic organization between auditory areas that are compatible with parallel and hierarchical processing of auditory information.

Automatic classification of MR scans in Alzheimer's disease.

To be diagnostically useful, structural MRI must reliably distinguish Alzheimer's disease (AD) from normal aging in individual scans. Recent advances in statistical learning theory have led to the application of support vector machines to MRI for detection of a variety of disease states. The aims of this study were to assess how successfully support vector machines assigned individual diagnoses and to determine whether data-sets combined from multiple scanners and different centres could be used to obtain effective classification of scans. We used linear support vector machines to classify the grey matter segment of T1-weighted MR scans from pathologically proven AD patients and cognitively normal elderly individuals obtained from two centres with different scanning equipment. Because the clinical diagnosis of mild AD is difficult we also tested the ability of support vector machines to differentiate control scans from patients without post-mortem confirmation. Finally we sought to use these methods to differentiate scans between patients suffering from AD from those with frontotemporal lobar degeneration. Up to 96% of pathologically verified AD patients were correctly classified using whole brain images. Data from different centres were successfully combined achieving comparable results from the separate analyses. Importantly, data from one centre could be used to train a support vector machine to accurately differentiate AD and normal ageing scans obtained from another centre with different subjects and different scanner equipment. Patients with mild, clinically probable AD and age/sex matched controls were correctly separated in 89% of cases which is compatible with published diagnosis rates in the best clinical centres. This method correctly assigned 89% of patients with post-mortem confirmed diagnosis of either AD or frontotemporal lobar degeneration to their respective group. Our study leads to three conclusions: Firstly, support vector machines successfully separate patients with AD from healthy aging subjects. Secondly, they perform well in the differential diagnosis of two different forms of dementia. Thirdly, the method is robust and can be generalized across different centres. This suggests an important role for computer based diagnostic image analysis for clinical practice.