AFFECTION IN ELDERLY CARE FROM THE NURSES' PERSPECTIVE

The objective of this study was to describe, from the nurses' perspective, the meaning of effective/affective care, the interference factors, and the learning promoted from dealing with elderly inpatients, as well as their perception of feeling ready or not to engage in caring. This qualitative study was performed with nurses from a hospital located in the Midwestern region of the State of Sao Paulo. The findings show that the meaning of providing effective/affective care involves knowing the client within his/her social framework, while it crosses the borders of sheer technical care and encompasses fulfilling the client's needs and requirements. Interferences in dealing with the elderly refer to those situations connected with the patients' conditions, work dynamics, and environmental and management adaptations. All surveys showed that despite feeling well prepared, nurses are aware of the need to study fields such as geriatrics and gerontology to a deeper extent. Complete and quality care is only possible if it includes techniques, knowledge and the ability to deal with others with patience and attention to detail.

Bioethics and Mental Health: The Rights of Patients With a Disorder

Bioethics can be included in the context of psychiatric patients' recovery of dignity and rights, creating a therapeutic interface of social rehabilitation, respect and closeness between professionals and the treated persons. The completion of the analysis of the facts occurred by reviewing 22 articles dated between 1999-2011, from a prior reading, selecting the ones that mention bioethics and mental health. Before the Psychiatric Reform, often, a lack of commitment to the mentally ill was noticed, isolating the patient from a social life. Before the Psychiatric Reform, often, a lack of commitment to the mentally ill was noticed by isolating the patient from a social life. After the Reform, the person with mental illness began to receive a more attentive care. It can be concluded that the Reform tried to bring life to those who had no respect and attention, these patients who needed to be included in a social and urban interaction.

Sperm head morphometry in ejaculates of adult marmosets (Callithrix jacchus): a model for studying sperm subpopulations and among-donor variations

In humans and other mammals, sperm morphology has been considered one of the most important predictive parameters of fertility. The objective was to determine the presence and distribution of sperm head morphometric subpopulations in a nonhuman primate model (Callithrix jacchus), using an objective computer analysis system and principal component analysis (PCA) methods to establish the relationship between the subpopulation distribution observed and among-donor variation. The PCA method revealed a stable number of principal components in all donors studied, that represented more than 85% of the cumulative variance in all cases. After cluster analysis, a variable number (from three to seven) sperm morphometric subpopulations were identified with defined sperm dimensions and shapes. There were differences in the distribution of the sperm morphometric subpopulations (P < 0.001) in all ejaculates among the four donors analyzed. In conclusion, in this study, computerized sperm analysis methods combined with PCA cluster analyses were useful to identify, classify, and characterize various head sperm morphometric subpopulations in nonhuman primates, yielding considerable biological information. In addition, because all individuals were kept in the same conditions, differences in the distribution of these subpopulations were not attributed to external or management factors. Finally, the substantial information derived from subpopulation analyses provided new and relevant biological knowledge which may have a practical use for future studies in human and nonhuman primate ejaculates, including identifying individuals more suitable for assisted reproductive technologies. (c) 2012 Elsevier Inc. All rights reserved.

Habilidades auditivas e medidas da imitância acústica em crianças de 4 a 6 anos de idade

OBJETIVO: avaliar o desempenho em habilidades auditivas e as condições de orelha média de crianças de 4 a 6 anos de idade. MÉTODO: foram aplicados os testes de detecção sonora (audiômetro pediátrico em 20dBNA), a Avaliação Simplificada do Processamento Auditivo (ASPA) e as medidas de imitância acústica (handtymp com tom de 226Hz) em 61 crianças com média de idade de 5,65 anos. Para comparar os resultados das provas de habilidades auditivas e das medidas da imitância acústica foi aplicado o teste exato de Fisher com nível de significância de p< 0,05. RESULTADOS: houve alteração em pelo menos uma das habilidades auditivas investigadas em 24,6% das crianças. Houve alteração timpanométrica em 34,4% das crianças e 64% foram classificadas no critério "falha" para a pesquisa do reflexo acústico ispilateral. As crianças mais jovens apresentaram maior ocorrência de alterações de orelha média, mas não houve diferença estatisticamente significante entre as diferentes idades para as provas realizadas. CONCLUSÃO: as crianças mais jovens apresentaram maior ocorrência de alterações nas provas de habilidades auditivas e nas medidas de imitância acústica. Programas de investigação e acompanhamento das condições de orelha média e das habilidades auditivas em idade pré-escolar e escolar podem eliminar ou minimizar intercorrências que alterariam o desenvolvimento sócio-linguístico.

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.