Alcohol and Quality of Life Among Social Groups for the Elderly in Sao Jose dos Campos, Brazil

This study aims to investigate alcohol consumption within social groups for the elderly in So Jos, dos Campos-Brazil, and to check for a correlation between alcohol consumption and quality of life. A sample of 500 individuals participating on social groups for the elderly were interviewed by using the Alcohol Use Disorders Identification Test (AUDIT) to verify alcohol consumption; the Medical Outcomes Study 36 Item Short Form (SF-36), for evaluating quality of life; and the Oral Health Impact Profile short form (OHIP-14), for evaluating oral health-related quality of life. The average alcohol consumption was very low (1.48), being higher in men (2.23) than women (1.09). The SF-36 average score for the domain of physical function was 70.5; for role-physical function 64.9; for bodily pain,68.3; for general health 73.8; for vitality,72.4; for social function 82.8; for role-emotional function 72.3 and for mental health 75.0. The OHIP-14 average score was 3.87. AUDIT did not correlate with SF-36 domains, or with OHIP-14. However, there was a negative correlation between OHIP 14 and all SF-36 domains. This elderly sample has a very low consumption of alcohol, and no correlation was found between alcohol consumption and oral and medical quality of life.

Using Proteomic Strategies for Sequencing and Post-Translational Modifications Assignment of Antigen-5, a Major Allergen from the Venom of the Social Wasp Polybia paulista

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Estigma social e as famílias de doentes com tuberculose: um estudo a partir das análises de agrupamento e de correspondência múltipla

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Youth purpose and life goals of students engaged in community and social activities

Purpose provides a moral compass for young people to apply their strengths and virtues in their lives. Deepen the studies about youth purpose may contribute to the design of new and more efficient moral education strategies, aiming the development of greater citizenship awareness, social justice and youth engagement in the construction of a society based on democracy, justice and social solidarity. This research paper explores the identification of life goals, the beyond the self or self-oriented purpose in life, a meaningful engagement in purposeful activities and the well-being and satisfaction with life in Brazilian youth engaged and not engaged in social and community issues.

Biogeography of the social wasp genus (Hymenoptera: Vespidade: Polistinae)

Aim The aim of this study was to understand the biogeography of Brachygastra. As the spatial component of evolution is of fundamental importance to understanding the processes shaping the evolution of taxa, the known geological history of the Neotropical region was used together with the current phylogeny and distribution of species to investigate questions concerning the biogeography of Brachygastra: the ancestral ranges of Brachygastra species; their areal relationships and their congruence with previously published hypotheses; the possible associated vicariance events and the influence of land bridges between North and South America, and the split between the Amazon and Atlantic forests. Location Neotropical region, from Mexico to central Argentina and southern USA. Methods Statistical dispersal–vicariance analysis (S-DIVA) was used to reconstruct the possible ancestral ranges of Brachygastra species based on their phylogeny (divided into three groups, lecheguana, scuttelaris and smithii). A Brooks parsimony analysis (BPA) and component analysis were performed to reconstruct the areal relationships of these species within the Neotropics. Results S-DIVA suggested a widespread, South American ancestral region for Brachygastra. The ancestral B. azteca probably reached the Nearctic before a posterior vicariance event separated it from the species groups ((lecheguana (scutellaris + smithii))), that stayed in the Atlantic forest. The ancestral (scutellaris + smithii groups) possibly reached the Amazon by dispersal, and the subsequent vicariance event splitting the Atlantic forest and Amazon separated the groups into scutellaris in the Atlantic forest and smithii in the Amazon. BPA and component analyses suggested that the Nearctic was a sister area to other regions, the Andes and Mesoamerica was a sister area to the Neotropical regions and the Amazon was closely related to the Atlantic forest. Main conclusions The phylogeny and distribution of Brachygastra suggest the influence of a land bridge between the Northern and Southern Hemispheres affecting the cladogenesis of B. azteca and the importance of the formation of the two blocks of forests in South America to the cladogenesis of the main groups of Brachygastra. Future comparisons between the distribution patterns of other taxa should enable a more precise identification of the possible events and outcomes, adding robustness to the hypothesized areal relationships.

Dominância hierárquica, organização social e perfil de hidrocarbonetos cuticulares de Pachycondyla striata Fr. Smith, 1858 (Formicidae: Ponerinae)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Biogeography of the social wasp genus Brachygastra (Hymenoptera: Vespidade: Polistinae)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A contribution to the identification of charcoal origin in brazil i - anatomical characterization of corymbia and eucalyptus

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Exometaboloma do tegumento da vespa social Polybia paulista por análises GC-MS: bases moleculares do reconhecimento de tipos parentais

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A Tool Box Half Full: How Social Science can Help Solve Human–Wildlife Conflict

There is a growing recognition among wildlife managers that focusing management on wildlife often provides a temporary fix to human–wildlife conflicts, whereas changing human behavior can provide long-term solutions. Human dimensions research of wildlife conflicts frequently focuses on stakeholders’ characteristics, problem identification, and acceptability of management, and less frequently on human behavior and evaluation of management actions to change that behavior. Consequently, little information exists to assess overall success of management. We draw on our experience studying human–bear conflicts, and argue for more human dimensions studies that focus on change in human behavior to measure management success. We call for help from social scientists to conduct applied experiments utilizing two methods, direct observation and self-reported data, to measure change in behavior. We are optimistic these approaches will help fill the managers’ tool box and lead to better integration of human dimensions into human–wildlife conflict management.

Rationale and knowledge for the universal implementation of sanitation in areas of social vulnerability

The adoption of principles of equality and universality stipulated in legislation for the sanitation sector requires discussions on innovation. The existing model was able to meet sanitary demands, but was unable to attend all areas causing disparities in vulnerable areas. The universal implementation of sanitation requires identification of the know-how that promotes it and analysis of the model adopted today to establish a new method. Analysis of how different viewpoints on the restructuring process is necessary for the definition of public policy, especially in health, and understanding its complexities and importance in confirming social practices and organizational designs. These are discussed to contribute to universal implementation of sanitation in urban areas by means of a review of the literature and practices in the industry. By way of conclusion, it is considered that accepting a particular concept or idea in sanitation means choosing some effective interventions in the network and on the lives of individual users, and implies a redefinition of the space in which it exercises control and management of sewerage networks, such that connected users are perceived as groups with different interests.

Multidimensional Projections for Visual Analysis of Social Networks

Visual analysis of social networks is usually based on graph drawing algorithms and tools. However, social networks are a special kind of graph in the sense that interpretation of displayed relationships is heavily dependent on context. Context, in its turn, is given by attributes associated with graph elements, such as individual nodes, edges, and groups of edges, as well as by the nature of the connections between individuals. In most systems, attributes of individuals and communities are not taken into consideration during graph layout, except to derive weights for force-based placement strategies. This paper proposes a set of novel tools for displaying and exploring social networks based on attribute and connectivity mappings. These properties are employed to layout nodes on the plane via multidimensional projection techniques. For the attribute mapping, we show that node proximity in the layout corresponds to similarity in attribute, leading to easiness in locating similar groups of nodes. The projection based on connectivity yields an initial placement that forgoes force-based or graph analysis algorithm, reaching a meaningful layout in one pass. When a force algorithm is then applied to this initial mapping, the final layout presents better properties than conventional force-based approaches. Numerical evaluations show a number of advantages of pre-mapping points via projections. User evaluation demonstrates that these tools promote ease of manipulation as well as fast identification of concepts and associations which cannot be easily expressed by conventional graph visualization alone. In order to allow better space usage for complex networks, a graph mapping on the surface of a sphere is also implemented.

Essays on Bayesian Inference for Social Networks

This thesis presents Bayesian solutions to inference problems for three types of social network data structures: a single observation of a social network, repeated observations on the same social network, and repeated observations on a social network developing through time. A social network is conceived as being a structure consisting of actors and their social interaction with each other. A common conceptualisation of social networks is to let the actors be represented by nodes in a graph with edges between pairs of nodes that are relationally tied to each other according to some definition. Statistical analysis of social networks is to a large extent concerned with modelling of these relational ties, which lends itself to empirical evaluation. The first paper deals with a family of statistical models for social networks called exponential random graphs that takes various structural features of the network into account. In general, the likelihood functions of exponential random graphs are only known up to a constant of proportionality. A procedure for performing Bayesian inference using Markov chain Monte Carlo (MCMC) methods is presented. The algorithm consists of two basic steps, one in which an ordinary Metropolis-Hastings up-dating step is used, and another in which an importance sampling scheme is used to calculate the acceptance probability of the Metropolis-Hastings step. In paper number two a method for modelling reports given by actors (or other informants) on their social interaction with others is investigated in a Bayesian framework. The model contains two basic ingredients: the unknown network structure and functions that link this unknown network structure to the reports given by the actors. These functions take the form of probit link functions. An intrinsic problem is that the model is not identified, meaning that there are combinations of values on the unknown structure and the parameters in the probit link functions that are observationally equivalent. Instead of using restrictions for achieving identification, it is proposed that the different observationally equivalent combinations of parameters and unknown structure be investigated a posteriori. Estimation of parameters is carried out using Gibbs sampling with a switching devise that enables transitions between posterior modal regions. The main goal of the procedures is to provide tools for comparisons of different model specifications. Papers 3 and 4, propose Bayesian methods for longitudinal social networks. The premise of the models investigated is that overall change in social networks occurs as a consequence of sequences of incremental changes. Models for the evolution of social networks using continuos-time Markov chains are meant to capture these dynamics. Paper 3 presents an MCMC algorithm for exploring the posteriors of parameters for such Markov chains. More specifically, the unobserved evolution of the network in-between observations is explicitly modelled thereby avoiding the need to deal with explicit formulas for the transition probabilities. This enables likelihood based parameter inference in a wider class of network evolution models than has been available before. Paper 4 builds on the proposed inference procedure of Paper 3 and demonstrates how to perform model selection for a class of network evolution models.

Accuracy of social perception: An integration and review of meta-analyses

This review examines the overall accuracy of social perception across several research topics and identifies factors that inf luence the accuracy of social perception. Findings from 14 meta-analyses examining topics such as social/personality judgments, health judgments, legal judgments, and academic/vocational judg-ments were obtained. Social perception accuracy was generally moderate, yielding an average effect size (r) of .32. However, individual meta-analytic effects varied widely, with some topics yielding small effects (e.g., lie detection, eyewitness identification) and other topics yielding large effects (e.g., educational judgments, health judgments). Several moderators of social perception accuracy were identified, includ-ing the nature of the information source, familiarity of the target, type of personality trait, and severity of the outcome being judged. These findings provide a comprehensive summary and novel integration of disparate findings on the accuracy of social perception. Concluding remarks highlight avenues for future research and call for cross-disciplinary collaborations that would enhance our understanding of social perception.