Project of dimmable lighting system

Diplomová práce se zabývá teorií a návrhem umělého osvětlení, nouzového osvětlení a způsobu řízení osvětlení v aule Slezské univerzity v Karviné. Součástí práce je také měření současného stavu osvětlovací soustavy s následným energetickým vyhodnocením a výpočtem úspor elektrické energie. V rámci práce je také zpracován návrh nového svítidla. Cílem diplomové práce je navrhnout osvětlovací soustavu s ohledem na osvětlovací normy a snížit energetickou náročnost nového osvětlení.This thesis focuses on theory and design of artificial lighting, emergency lighting and lighting control method in the Auditorium of the Silesian University in Karvina. The thesis also includes measuring the current state of the lighting system with consequent energy evaluation and calculation of energy savings. As part of the work is also a proposal of new lamps The thesis aims to design a lighting system with regard to the lighting standards to reduce energy demands of the new lighting.410 - Katedra elektroenergetikyvýborn

Vision, challenges and opportunities for a Plant Cell Atlas

With growing populations and pressing environmental problems, future economies will be increasingly plant-based. Now is the time to reimagine plant science as a critical component of fundamental science, agriculture, environmental stewardship, energy, technology and healthcare. This effort requires a conceptual and technological framework to identify and map all cell types, and to comprehensively annotate the localization and organization of molecules at cellular and tissue levels. This framework, called the Plant Cell Atlas (PCA), will be critical for understanding and engineering plant development, physiology and environmental responses. A workshop was convened to discuss the purpose and utility of such an initiative, resulting in a roadmap that acknowledges the current knowledge gaps and technical challenges, and underscores how the PCA initiative can help to overcome them.</jats:p

Data Visualization Tools for Large Biological Data Sets

Researchers have access to an ever-growing volume of data available at multiple levels of biological analysis. Many visual analytic tools have been developed to display a variety of biological data types but many of these tools are challenging to use and only examine one biological level of analysis at a time. The development and testing of hypotheses is difficult when the information is hard to integrate and laborious to interpret. The application of data visualization principles and user experience design best practices could improve systems biology research workflows by providing visual analytic tools with what is known in the information visualization community as a “transparent” user interface. This thesis consists of four papers that explore two central questions: 1) What is the best way to represent biological information at different levels of analysis? and 2) How do we enable researchers to explore and interact with their data as naturally and intuitively as possible? The first paper describes, ePlant, a tool for visualizing multiple levels of data that was developed using an agile process that included several rounds of user testing. The second paper presents Gene Slider, a tool for visualizing the conservation and entropy of orthologous DNA and protein sequences using a data visualization paradigm that takes better advantage of preattentive visual processing than current methods. The third paper describes Topo-phylogeny, a tool for visualizing phylogenetic relationships using a topographic map visualization paradigm that requires less cognitive processing to interpret than traditional tree diagrams. The final paper demonstrates the importance of user testing when developing a “rapid serial visual presentation” interface for identifying genes of interest using electronic fluorescent pictographs. Together these papers illustrate the complexities and benefits of applying data visualization principles and user experience design best practices to building data visualization tools for the analysis of large biological data sets. Given that hypothesis generation is fundamentally a creative process, any tools or techniques that can help researchers consider their data at a deeper level should be valuable to the scientific community.Ph.D.2019-02-28 00:00:0

The Bio-Analytic Resource: Data visualization and analytic tools for multiple levels of plant biology

The Bio-Analytic Resource for Plant Biology (BAR) is a portal for accessing large data sets from approximately 15 different plant species, with a focus on transcriptomic, protein-protein interaction, and promoter data. It consists of numerous databases for which its curators have added useful metadata, data visualization tools to display the query results from these databases, and visual analytic tools to identify e.g. gene expression patterns of interest based on publicly-available data. We briefly cover some of these tools and scenarios in which they might be useful for plant researchers

Topo-phylogeny.zip

Topo-phylogeny is an alternative approach to displaying phylogenetic relationships. It visualizes each node of a tree as a point on a two-dimensional map, with the placement, surrounding color and distance from other nodes determined by its attraction to parent and sister nodes, branch length, and hierarchical level. Topographic contour shapes indicate which level related nodes are connected at. Gaps between clusters indicate clades from a different lineage.<div><br></div><div>This is a repository copy of the source code for the tool available at: http://bar.utoronto.ca/Topo-phylogeny</div

Anno genominis XX: 20 years of Arabidopsis genomics

Twenty years ago, the Arabidopsis thaliana genome sequence was published. This was an important moment as it was the first sequenced plant genome and explicitly brought plant science into the genomics era. At the time, this was not only an outstanding technological achievement, but it was characterized by a superb global collaboration. The Arabidopsis genome was the seed for plant genomic research. Here, we review the development of numerous resources based on the genome that have enabled discoveries across plant species, which has enhanced our understanding of how plants function and interact with their environments