5 resultados para Databases as Topic

em Biblioteca Digital da Produção Intelectual da Universidade de São Paulo


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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.

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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.

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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.

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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.

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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.