Visualizing multidimensional data similarities:Improvements and applications

Multidimensional data is increasingly more prominent and important in many application domains. Such data typically consist of a large set of elements, each of which described by several measurements (dimensions). During the design of techniques and tools to process this data, a key component is to gather insights into their structure and patterns, which can be described by the notion of similarity between elements. Among these techniques, multidimensional projections and similarity trees can effectively capture similarity patterns and handle a large number of data elements and dimensions. However, understanding and interpreting these patterns in terms of the original data dimensions is still hard. This thesis addresses the development of visual explanatory techniques for the easy interpretation of similarity patterns present in multidimensional projections and similarity trees, by several contributions. First, we propose methods that make the computation of similarity trees efficient for large datasets, and also enhance its visual representation to allow the exploration of more data in a limited screen. Secondly, we propose methods for the visual explanation of multidimensional projections in terms of groups of similar elements. These are automatically annotated to describe which dimensions are more important to define their notion of group similarity. We show next how these explanatory mechanisms can be adapted to handle both static and time-dependent data. Our proposed techniques are designed to be easy to use, work nearly automatically, and are demonstrated on a variety of real-world large data obtained from image collections, text archives, scientific measurements, and software engineering

Beyond the Third Dimension:Visualizing High-Dimensional Data with Projections

Multidimensional projections are an increasingly popular technique for visualizing large datasets containing observations having tens or even hundreds of dimensions. Compared to other techniques such as parallel coordinates, tables, and scatterplot matrices, they support tasks such as finding groups of related observations and outliers in simpler, more effective, ways. The authors discuss here the advantages of multidimensional projections, how to compute them, and recent advances that enhance them by visual explanatory techniques, so as to make them efficient and effective instruments that should be part of the toolkit of any scientist interested in high-dimensional data exploration

PRODUCTIVITY AND ENERGY EFFICIENCY OF WINCHING OPERATIONS IN PINE STANDS IN MOUNTAINOUS REGIONS

The objective of this study was to evaluate the productivity and energy efficiency of tree extraction in mountainous regions by means of a tractor with winch in two work team compositions: I: one tractor operator and a cable operator; and II: one tractor operator and two cable operators. The study was carried out in Vale do Ribeira region using a full tree harvesting system through a time and motion study in different conditions of extraction distance (6 to 135 meters) and log yard (5 to 241 meters), and land slope (from 7 to 37º). To evaluate the cycles, a regression analysis was carried out for each treatment and subsequently compared using the Graybill F test. Then a regression with a dummy variable was performed. The productivity was 9.26 m3 PMH0-1 with a cable operator and 12.12 m³ PMH0-1  at an extraction distance of 100 m; the specific fuel consumption was 44.26 g kW-1 PMH0-1  in both treatments, and the energy efficiency was 4.92 g kW-1 m³ with a forest worker and 3.13 g kW-1 m³ with two forest workers. Consequently, although the specific fuel consumption was equal in both treatments, the increase in productivity resulting from the addition of a cable operator,improved  the energy efficiency in the extraction using a tractor with winch

COMPLIANCE NA GESTÃO HOSPITALAR: PERFIL HOSPITALAR DA MACRORREGIÃO DE SAÚDE CENTRO EM MINAS GERAIS

Compliance programs have the objective of ensuring that the organization and its stakeholders comply with the institution's legal norms, policies and codes of conduct. The objective of the study was to describe the profile of hospitals belonging to the health macro-region Center in Minas Gerais that have a Compliance program, according to: health micro-region; legal nature and size. This is a descriptive study, with a quantitative approach and method with documentary research procedures. Hospitals that presented the Code of Conduct and the Reporting Channel on their website were eligible for the study. It was observed that the profile of hospitals that have the program is large, private in nature and predominantly located in the health micro-region of Belo Horizonte. The importance of the Compliance Program for the evolution of Health Management is highlighted, in addition to the need for organizations to make Compliance information accessible on their websites.Programas de Compliance tienen el objetivo de asegurar que la organización y sus grupos de interés cumplan con las normas legales, políticas y códigos de conducta de la institución. El objetivo del estudio fue describir el perfil de los hospitales pertenecientes a la macrorregión de salud Centro de Minas Gerais que cuentan con un programa de Compliance, según: microrregión de salud; naturaleza jurídica y tamaño. Se trata de un estudio descriptivo, con enfoque y método cuantitativo con procedimientos de investigación documental. Los hospitales que presentaron el Código de Conducta y el Canal de Denuncias en su website fueron elegibles para el estudio. Se observó que el perfil de los hospitales que cuentan con el programa es grande, de carácter privado y predominantemente ubicados en la microrregión de salud de Belo Horizonte. Se destaca la importancia del Programa de Compliance para la evolución de la Gestión en Salud, además de la necesidad de las organizaciones de hacer accesible la información de Cumplimiento en sus sitios web.Os programas de Compliance possuem o objetivo de fazer cumprir com que a organização e seus stakeholders estejam de acordo com as normas legais, políticas e códigos de conduta da instituição. O objetivo do estudo foi descrever o perfil dos hospitais pertencentes à macrorregião de saúde Centro em Minas Gerais que possuem programa de Compliance, segundo microrregião de saúde, natureza jurídica e porte. Trata-se de um estudo descritivo, de abordagem quantitativa e método com procedimentos de pesquisa documental. Foram elegíveis para o estudo os hospitais que apresentaram, em seu website, o Código de Conduta e o Canal de Denúncias. Observou-se que o perfil dos hospitais que possuem o programa é de grande porte, natureza privada e localização predominante na microrregião de saúde de Belo Horizonte. Ressalta-se a importância do Programa de Compliance para evolução da Gestão em Saúde, além da necessidade das organizações tornarem acessíveis as informações de Compliance em seus websites.DOI: 10.53706/gep.v.24.797

Exploring Multidimensional Projections Through Explanatory Maps

Multidimensional Projections (MPs) are popular tools used to support the analysis of multidimensional data. MPs can project data to a low dimensional space, and are typically visualized as 2D scatterplots where similar elements are conveniently positioned in close neighborhoods. However such visualizations tell us which points are similar, but not why. Our aim is, thus, to enrich 2D MP scatterplots with explanatory information telling users which key dimensions make closely projected points similar, and their values