Treinamento ambiental:revisão de literatura e sugestões de pesquisa

This article aims to list the studies on environmental training published in the Scopus and Web of Science databases, to emphasize the publications most relevant according to the number of citations in other research, list the most prominent authors regarding the topic, the contexts studied and the researcher’s countries of origin. The concepts of environmental management and environmental training were reviewed. The systematic literature review is presented as the methodology, which has as its results the identification of the most influential papers studied in the area, the countries of origin of researchers and the relation between context and origin of the researcher, concluding that Brazil stands out in the study of the theme. That there is a small number of researchers studying different contexts in their country of origin and that partnership between researchers from different countries are required for studies in the area. The study presents as a limitation the still restricted access to some journals presenting articles on the topic, making it impossible to analyze them. It contributes with researchers and those responsible for human resource managers in organizations because it shows the most relevant studies of the area in a compiled form.

Dançando o ritmo do preconceito: uma análise do estido waacking com o enfoque no sexo masculino

Understanding dance in all its educational aspects, creative and liberating, this of course work completion back motivating information for new studies and reflections. This study did a literature review to contextualize and detail reach the story and how it perpetuates in practice the dance style Waacking, sought the understanding of how the body is inserted in our society, made notes on the Sport Psychology regarding the topic fear and shame, and pledged to address the conflicting issues of gender and sexuality, to then be possible to develop what has been objectified. This study sought to establish whether there are national publications on the Waacking dance style and what their contributions to the Brazilian context, verifying the presence of stereotypes and prejudices to males in it are inserted. As used method, the survey was conducted in online databases having the following sites as a source of scientific academic content to nationwide: Google Scholar (like the filter to search only in Portuguese language - as the focus of the research is to gather national publications); Journals Portal CAPES / MEC; and SciELO - (Scientific Electronic Library Online). The review process took place using the categorization model, which was essential to be able to extract the information that met relevant from the criteria that have been pre-established, thus enabling the completion of this work Completion of course

Práticas integrativas e complementares no SUS: revisão integrativa

Pós-graduação em Saúde Coletiva - FMB

Práticas integrativas e complementares no SUS: revisão integrativa

Pós-graduação em Saúde Coletiva - FMB

Do the physical discomforts from breast cancer treatments affect the sexuality of women who underwent mastectomy?

The objective of this integrative review is to analyze the scientific production addressing the sexuality of women with breast cancer following mastectomy, focused on the effects that the physical discomfort due to cancer treatments have on their sex life. The search included articles published in the period between 2000 and 2009 on the MEDLINE, LILACS and PsycINFO databases, using the following descriptors: mastectomy, breast neoplasms, sexuality, sexual behavior, amputation, psychosexual development, and marital relations. Nine articles were selected, which addressed the effects of the physical discomfort from cancer treatments on the patients' sexuality. The findings revealed that, even when the patient's sex life is intense and fulfilling before the disease, factors such as stress, pain, fatigue, insult to body image, and low self-esteem due to the treatments may alter the sexual functioning of the affected woman. Healthcare professionals must be sensitized in order to welcome and include the topic in policies as well as in preventive, diagnostic, and therapeutic strategies.

Bioethics and medical/legal considerations on cochlear implants in children

Cochlear implants are the best treatment for congenital profound deafness. Pediatric candidates to implantation are seen as vulnerable citizens, and the decision of implanting cochlear devices is ultimately in the hands of their parents/guardians. The Brazilian Penal Code dictates that deaf people may enjoy diminished criminal capacity. Many are the bioethical controversies around cochlear implants, as representatives from the deaf community have seen in them a means of decimating their culture and intrinsic values. Objective: This paper aims to discuss, in bioethical terms, the validity of implanting cochlear hearing aids in children by analyzing their vulnerability and the social/cultural implications of the procedure itself, aside from looking into the medical/legal aspects connected to their criminal capacity. Materials and Methods: The topic was searched on databases Medline and Lilacs; ethical analysis was done based on principialist bioethics. Results: Cochlear implants are the best therapeutic option for people with profound deafness and are morally justified. The level of criminal capacity attributed to deaf people requires careful analysis of the subject's degree of understanding and determination when carrying out the acts for which he/she has been charged. Conclusion: Cochlear implants are morally valid. Implantations must be analyzed on an each case basis. ENT physicians bear the ethical responsibility for indicating cochlear implants and must properly inform the child's parents/guardians and get their written consent before performing the procedure.

Pharmacological interventions in the treatment of the acute effects of cannabis: a systematic review of literature

Abstract Background Cannabis intoxication is related to a number of physical and mental health risks with ensuing social costs. However, little attention has been given to the investigation of possible pharmacological interactions in this condition. Objective To review the available scientific literature concerning pharmacological interventions for the treatment of the acute effects of cannabis. Methods A search was performed on the Pubmed, Lilacs, and Scielo online databases by combining the terms cannabis, intoxication, psychosis, anxiety, and treatment. The articles selected from this search had their reference lists checked for additional publications related to the topic of the review. Results The reviewed articles consisted of case reports and controlled clinical trials and are presented according to interventions targeting the physiological, psychiatric, and cognitive symptoms provoked by cannabis. The pharmacological interventions reported in these studies include: beta-blockers, antiarrhythmic agents, antagonists of CB-1 and GABA-benzodiazepine receptors, antipsychotics, and cannabidiol. Conclusion Although scarce, the evidence on pharmacological interventions for the management of cannabis intoxication suggests that propanolol and rimonabant are the most effective compounds currently available to treat the physiological and subjective effects of the drug. Further studies are necessary to establish the real effectiveness of these two medications, as well as the effectiveness of other candidate compounds to counteract the effects of cannabis intoxication, such as cannabidiol and flumazenil.

Grupos de apoio para homens com câncer de próstata: revisão integrativa da literatura

This article is an integrative literature review to analyze the contribution of national and international studies examining the use of psychological support groups as a care strategy for patients diagnosed with prostate cancer. The electronic databases consulted were: LILACS, MedLine and PsycINFO, over a period of 20 years (1989-2009) with pre-defined criteria for inclusion. Eleven studies were selected, and based on their contributions some considerations are presented regarding the factors that favor male participation in the support groups and the potential benefits of such participation; as well as their main concerns and the influence of gender identity in the process of coping with illness. Furthermore, studies suggest some models of group intervention, along with orientation for the coordinators which emphasize the importance of these groups as an effective strategy to aid in the process of coping of prostate cancer patients.

QuMinS: fast and scalable querying, mining and summarizing multi-modal databases

Given a large image set, in which very few images have labels, how to guess labels for the remaining majority? How to spot images that need brand new labels different from the predefined ones? How to summarize these data to route the user’s attention to what really matters? Here we answer all these questions. Specifically, we propose QuMinS, a fast, scalable solution to two problems: (i) Low-labor labeling (LLL) – given an image set, very few images have labels, find the most appropriate labels for the rest; and (ii) Mining and attention routing – in the same setting, find clusters, the top-'N IND.O' outlier images, and the 'N IND.R' images that best represent the data. Experiments on satellite images spanning up to 2.25 GB show that, contrasting to the state-of-the-art labeling techniques, QuMinS scales linearly on the data size, being up to 40 times faster than top competitors (GCap), still achieving better or equal accuracy, it spots images that potentially require unpredicted labels, and it works even with tiny initial label sets, i.e., nearly five examples. We also report a case study of our method’s practical usage to show that QuMinS is a viable tool for automatic coffee crop detection from remote sensing images.

The topic normalized impact factor

[EN] The journal impact factor is not comparable among fields of science because of systematic differences in publication and citation behaviour across disciplines. In this work, a source normalization of the journal impact factor is proposed. We use the aggregate impact factor of the citing journals as a measure of the citation potential in the journal topic, and we employ this citation potential in the normalization of the journal impact factor. An empirical application in a set of 224 journals from four different fields shows that our normalization, using the citation potential in the journal topic, reduces the between-group variance with respect to the within-group variance in a higher proportion than the rest of indicators analysed.

Gender classification in large databases

[EN]In this paper, we address the challenge of gender classi - cation using large databases of images with two goals. The rst objective is to evaluate whether the error rate decreases compared to smaller databases. The second goal is to determine if the classi er that provides the best classi cation rate for one database, improves the classi cation results for other databases, that is, the cross-database performance.

RelAndXML

Diese Dissertation stellt das neu entwickelte SystemRelAndXML vor, das für das Management und dieSpeicherung von hypertextzentrierten XML-Dokumenten und dendazugehörenden XSL-Stylesheets spezialisiert ist. DerAnwendungsbereich sind die Vorlesungsmaterialien anUniversitäten. RelAndXML speichert die XML-formatiertenÜbungsblätter in Textbausteinen und weiterenTeilen in einer speziellen Datenbank.Die Speicherung von XML-Dokumenten in Datenbanken ist seiteinigen Jahren ein wichtiges Thema der Datenbankforschung.Ansätze dafür gliedern sich in solche fürdatenzentrierte und andere für dokumentenzentrierteDokumente. Die Dissertation präsentiert einen Ansatzzur Speicherung von hypertextzentrierten XML-Dokumenten, derAspekte von datenzentrierten und dokumentenzentriertenAnsätzen kombiniert. Der Ansatz erlaubt dieWiederverwendung von Textbausteinen und speichert dieReihenfolge dort, wo sie wichtig ist. Mit RelAndXML könnennicht nur Elemente gespeichert werden, wie mit einigenanderen Ansätzen, sondern auch Attribute, Kommentareund Processing Instructions. Algorithmen für dieFragmentierung und Rekonstruktion von Dokumenten werdenbereit gestellt.RelAndXML wurde mit Java und unter Verwendung einerobjektrelationalen Datenbank implementiert. Das System hateine graphische Benutzungsoberfläche, die das Erstellenund Verändern der XML- und XSL-Dokumente, dasEinfügen von neuen oder schon gespeichertenTextbausteinen sowie das Erzeugen von HTML-Dokumenten zurVeröffentlichung ermöglicht.

Advanced Techniques for Face Recognition under Challenging Environments

Automatically recognizing faces captured under uncontrolled environments has always been a challenging topic in the past decades. In this work, we investigate cohort score normalization that has been widely used in biometric verification as means to improve the robustness of face recognition under challenging environments. In particular, we introduce cohort score normalization into undersampled face recognition problem. Further, we develop an effective cohort normalization method specifically for the unconstrained face pair matching problem. Extensive experiments conducted on several well known face databases demonstrate the effectiveness of cohort normalization on these challenging scenarios. In addition, to give a proper understanding of cohort behavior, we study the impact of the number and quality of cohort samples on the normalization performance. The experimental results show that bigger cohort set size gives more stable and often better results to a point before the performance saturates. And cohort samples with different quality indeed produce different cohort normalization performance. Recognizing faces gone after alterations is another challenging problem for current face recognition algorithms. Face image alterations can be roughly classified into two categories: unintentional (e.g., geometrics transformations introduced by the acquisition devide) and intentional alterations (e.g., plastic surgery). We study the impact of these alterations on face recognition accuracy. Our results show that state-of-the-art algorithms are able to overcome limited digital alterations but are sensitive to more relevant modifications. Further, we develop two useful descriptors for detecting those alterations which can significantly affect the recognition performance. In the end, we propose to use the Structural Similarity (SSIM) quality map to detect and model variations due to plastic surgeries. Extensive experiments conducted on a plastic surgery face database demonstrate the potential of SSIM map for matching face images after surgeries.