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This study delves into the investigation of the efficacy of Convolutional Neural Networks (CNNs) in identifying malaria through the examination of cell images. The dataset employed encompasses a total of 27,558 images, harvested from the renowned Malaria Cell Images Dataset on Kaggle, encompassing cells of diverse nature. The architectonics of the CNN model is meticulously devised, comprising of six blocks and three interconnected blocks, thereby rendering an efficient extraction of features and subsequent classification of the cells. Creative paraphrasing: Various strategies such as dropout, batch normalization, and global average pooling are artfully utilized to refine and fortify the model, ensuring its robustness and adaptability. In order to confront the challenge of diminishing gradient and facilitate the attainment of convergence, the activation function known as Rectified Linear Unit (ReLU) is ingeniously employed. Assessing the efficacy of the model via a perplexity grid produces outcomes. Exhibiting a precision rate of 99.59%, a specificity measure of 99.69%, an Sensitivity of 99.40%, F1 Measurement of 99.44%, and a Precision of 99.48, it showcases its capacity to effectively distinguish betwixt malaria-afflicted cells and unafflicted cells. The focal point of this research highlights the substantial potential of CNNs in facilitating the automated identification of malaria using image analysis. By harnessing their unique architecture and regularization techniques, CNNs have the capability to enhance the results and potentially bring about better outcomes in areas with prevalent cases of malaria.

This study delves into the investigation of the efficacy of Convolutional Neural Networks (CNNs) in identifying malaria through the examination of cell images. The dataset employed encompasses a total of 27,558 images, harvested from the renowned Malaria Cell Images Dataset on Kaggle, encompassing cells of diverse nature. The architectonics of the CNN model is meticulously devised, comprising of six blocks and three interconnected blocks, thereby rendering an efficient extraction of features and subsequent classification of the cells. Creative paraphrasing: Various strategies such as dropout, batch normalization, and global average pooling are artfully utilized to refine and fortify the model, ensuring its robustness and adaptability. In order to confront the challenge of diminishing gradient and facilitate the attainment of convergence, the activation function known as Rectified Linear Unit (ReLU) is ingeniously employed. Assessing the efficacy of the model via a perplexity grid produces outcomes. Exhibiting a precision rate of 99.59%, a specificity measure of 99.69%, an Sensitivity of 99.40%, F1 Measurement of 99.44%, and a Precision of 99.48, it showcases its capacity to effectively distinguish betwixt malaria-afflicted cells and unafflicted cells. The focal point of this research highlights the substantial potential of CNNs in facilitating the automated identification of malaria using image analysis. By harnessing their unique architecture and regularization techniques, CNNs have the capability to enhance the results and potentially bring about better outcomes in areas with prevalent cases of malaria.

The optimal solution to the difficult issues associated with bytes consumption of digital images is to utilize image compression techniques that essentially based on exploiting redundancy(s) efficiently to minimize image size for storage requirements and /or fast transmitted. 1-D polynomial coding is a simple form of the common 2D- polynomial coding that based on modeling spatial image block information using the 1-D nature, which implicitly diminished the extra coefficients of deterministic part and leads to improved compression performance. In this paper, Adaptive 1-D Polynomial Coding for grayscale image compression is proposed with adopting a new compress scheme of six to one data (C621) base for probabilistic part (residual image) effectively, The experimental results tested on six standard gray square images of medical and natural bases, the results showed elegant performance in terms of CR and PSNR compared to the traditional   1-D coding techniques and the well-known standard JPEG, that the compression ratio increase more than three times compared to the traditional 1-D and with higher quality compared to JPEG for the images converged to the same compression performance.

The optimal solution to the difficult issues associated with bytes consumption of digital images is to utilize image compression techniques that essentially based on exploiting redundancy(s) efficiently to minimize image size for storage requirements and /or fast transmitted. 1-D polynomial coding is a simple form of the common 2D- polynomial coding that based on modeling spatial image block information using the 1-D nature, which implicitly diminished the extra coefficients of deterministic part and leads to improved compression performance. In this paper, Adaptive 1-D Polynomial Coding for grayscale image compression is proposed with adopting a new compress scheme of six to one data (C621) base for probabilistic part (residual image) effectively, The experimental results tested on six standard gray square images of medical and natural bases, the results showed elegant performance in terms of CR and PSNR compared to the traditional   1-D coding techniques and the well-known standard JPEG, that the compression ratio increase more than three times compared to the traditional 1-D and with higher quality compared to JPEG for the images converged to the same compression performance.

O risco vem servindo de justificativa para intervenções urbanas e habitacionais desde o princípio das ações do estado sobre a temática da moradia, influenciando diferentes posturas no tempo. Com isso, o presente estudo tem como objetivo apresentar, de forma sucinta, a abordagem estabelecida historicamente sobre à moradia em situação de risco no Brasil, aproximando-se especificamente à questão das construções localizadas em áreas de Domínio Ferroviário em duas comunidades do município de Natal (RN). Em termos metodológicos, o artigo faz um estudo de caso nas Comunidades da Guarita e do Passo da Pátria, inseridas no território em questão, a fim de se levantar qual a percepção e o posicionamento das comunidades sobre a problemática. Chegando a conclusão que ações pautadas somente sobre a questão da habitação e sua infraestrutura não são suficientes, uma vez que as relações sociais devem ser observadas neste processo., The risk has been serving as a justification for urban and housing interventions since the beginning of the state's actions on the subject of housing, influencing different attitudes over time. With this, the present study aims to present, in a succinct way, the historically established approach to housing at risk in Brazil, specifically approaching the issue of constructions located in areas of Railway Domain in two communities of Natal, Rio Grande do Norte. In methodological terms, the article makes a case study in the Communities Guarita and Passo da Pátria, inserted in the territory in question, in order to raise what is the perception and the position of the communities on the problem. Coming to the conclusion that actions based only on housing problems and their infrastructure are not enough, since social relations must be observed in this process., Peer Reviewed

Background: Sexual problems are common amongst cardiac patients, and concerns may arise when resuming sexual activities after a cardiac event. Sexual counselling is therefore indispensible. Culture is an identified barrier to talking about sex, but research is lacking on whether and how culture influences nurses in providing sexual counselling. Design: This cross-sectional descriptive study assessed four areas related to sexual counselling provided by cardiovascular nurses. We investigated the impact of culture on these areas by surveying cardiovascular nurses living in Denmark, Norway and two regions of Belgium - Flanders, Dutch-speaking region and Wallonia, French-speaking region. Methods: Overall, 819 participants were recruited as they attended cardiovascular nursing congresses in Denmark, Norway and Belgium. Subjects completed the Undertaking Nursing Interventions Throughout Europe (UNITE) sexual counselling questionnaire, measuring practice, responsibility, confidence and perceived comfort of patients. Controlling for demographic, educational and professional covariates, we performed multiple linear regression analysis to determine the impact of culture on sexual counselling. Results: All four subscale scores were independently associated with culture. Danish nurses counselled patients significantly more often, reported feeling more responsibility and confidence and estimated more comfort in patients than Norwegian, Flemish and Walloon nurses. Conclusions: This study showed that culture matters with respect to sexual counselling for cardiac patients. Interventions should be developed improving sexual counselling of cardiac patients. Educational courses and training of healthcare professionals on sexual counselling should be more sensitive to sociocultural differences. Cross-cultural perspectives may bias attitudes of professionals as they deal with concerns of cardiac patients about resuming sexual activity. © 2011 Blackwell Publishing Ltd.