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Academic literature on the topic 'Microsoft Expression Web'
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Journal articles on the topic "Microsoft Expression Web"
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WOLFE, ARNOLD S. "‘Over to you’: Can Europe restrain Microsoft's threat to freedom of musical expression in computer-mediated communication?" Popular Music 23, no. 1 (January 2004): 63–78. http://dx.doi.org/10.1017/s0261143004000029.
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The United States Supreme Court characterised the trend toward the convergence of the communication, music and computer worlds as ‘a promising new medium that could empower citizens and promote democracy in the next millennium’. Yet inquiry into United States vs Microsoft, the case that may determine whether ‘the free and open nature of … computer-assisted communication’ will remain ‘free and open’ has been lacking. This study focuses on the antitrust and First Amendment implications of Microsoft's disputed strategy of marrying its Web browser to its operating system (OS) software.The study argues that rulings on the legality of this strategy have ramifications for Microsoft's subsequent move to suture its streaming audio and video software to its OS product. Implications of this case – and the European Commission's similar inquiry into such suturing – for popular music as an industry, as an industrialised technology, and as a form of communication are discussed. Scholars, practitioners, and fans must be ever mindful that when one firm dominates a human enterprise as central to contemporary life as personal computing, the opportunity for abuse exists.
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Archak, Sunil, and Vikas Kumar. "Portable search engine for registered crop germplasm: a new concept for enhancing access to information on plant genetic resources." Plant Genetic Resources 11, no. 1 (November 26, 2012): 62–67. http://dx.doi.org/10.1017/s147926211200038x.
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The National Bureau of Plant genetic Resources (NBPGR), New Delhi carries out the registration of unique crop germplasm in order to protect the intrinsic intellectual property as well as to facilitate greater utilization of germplasm in crop improvement programmes. It is therefore imperative to enhance access to information on registered crop germplasm. Here, we present a concept of a search engine that can suffice dual functions of a Web-based and portable search application. The concept entails converting raw data through a series of transformations from a Microsoft-Excel to eXtensible Markup Language (XML) data format. XML data initialized on compatible Web browsers are then queried for the search term based on a looping regular expression matching. The results are then loaded onto the browser in a tabulated output. The concept is implemented in the form of ‘Inventory of Registered Crop Germplasm’ on the Web as well as on a portable memory (compact disk or flash drive). The portable search engine works with minimal hardware and software requirements to enable its widespread utility to ensure greater access to information on registered crop germplasm. The portable search engine can be obtained from the NBPGR, New Delhi and the Web-based search engine can be accessed at http://www.nbpgr.ernet.in/IRCG/index.htm.
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Lee, Kye Hwa, Hyunsung Lee, Jin-Hyeok Park, Yi-Jun Kim, and Youngho Lee. "ANNO: A General Annotation Tool for Bilingual Clinical Note Information Extraction." Healthcare Informatics Research 28, no. 1 (January 31, 2022): 89–94. http://dx.doi.org/10.4258/hir.2022.28.1.89.
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Objectives: This study was conducted to develop a generalizable annotation tool for bilingual complex clinical text annotation, which led to the design and development of a clinical text annotation tool, ANNO.Methods: We designed ANNO to enable human annotators to support the annotation of information in clinical documents efficiently and accurately. First, annotations for different classes (word or phrase types) can be tagged according to the type of word using the dictionary function. In addition, it is possible to evaluate and reconcile differences by comparing annotation results between human annotators. Moreover, if the regular expression set for each class is updated during annotation, it is automatically reflected in the new document. The regular expression set created by human annotators is designed such that a word tagged once is automatically labeled in new documents.Results: Because ANNO is a Docker-based web application, users can use it freely without being subjected to dependency issues. Human annotators can share their annotation markups as regular expression sets with a dictionary structure, and they can cross-check their annotated corpora with each other. The dictionary-based regular expression sharing function, cross-check function for each annotator, and standardized input (Microsoft Excel) and output (extensible markup language [XML]) formats are the main features of ANNO.Conclusions: With the growing need for massively annotated clinical data to support the development of machine learning models, we expect ANNO to be helpful to many researchers.
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McKie, Jane. "Is Democracy at the Heart of IT? Commercial Perceptions of Technology." Sociological Research Online 1, no. 4 (December 1996): 46–52. http://dx.doi.org/10.5153/sro.51.
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The article uses two adverts for Microsoft Office products as a springboard from which to discuss claims about the democratic potential of IT (information technology). Adverts for technological products frequently use glamorous icons as metaphors for the exploratory mode of hypermedia technologies (including the World Wide Web). These metaphors find subtle expression in the textual conflation of virtual and physical ‘realms’ exemplified by the Microsoft slogan ‘Where do you want to go today?’. It is a small step from suggesting that you can go anywhere you want to go, to the assertion that you can be anyone you want to be. This assertion underlies the textual construction of democracy that is singled out in the first advert: a democracy that is forged from individual versatility rather than cultural diversity. Roles and functions become blurred as specialized worker is transformed into jack-of-all trades through the use of technology. This vision of democracy is contrasted with two related pictures of contemporary technologies: the Internet as a world-wide cooperative community and hypermedia texts as the poststructural antithesis of the modern univocal text. Claims of this nature, and their critiques, are positioned within discourse about the impact of technology, both personally and culturally. Personally, job satisfaction and versatility are indicators of success in the texts examined. Culturally, constructions of ‘cooperative community’ and ‘self-sufficiency’ are examined with reference to the myth about the computer as an isolationist tool, revealing a theoretical ambivalence towards the impact of technology that underscores recent intense media and academic attention.
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Lai, Hanpeng, Chenglei Hu, Man Qu, Xing Liu, Yu Xue, Ping Xu, and Dongdong Hao. "Mesothelioma Due to Workplace Exposure: A Comprehensive Bibliometric Analysis of Current Situation and Future Trends." International Journal of Environmental Research and Public Health 20, no. 4 (February 6, 2023): 2833. http://dx.doi.org/10.3390/ijerph20042833.
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Background: This article provides an overview of the current status and research progress of mesothelioma. Methods: A total of 2638 documents published from 1 January 2004 to 30 November 2022 were retrieved from the Web of Science Core Collection and analyzed via Microsoft Office Excel 2019, VOSviewer 1.6.18, and Tableau 2022.2. Results: There was an obvious increase in the number of publications regarding mesothelioma in the last 18 years, with the United States dominating the research field with 715 publications and 23,882 citations, while the University of Turin contributed the most (118). Occupational & Environmental Medicine was the most popular journal (80), with Corrado Magnani being the most prolific author (52) and Michele Carbone obtaining the most citations (4472). “Oncology” and “Health Science of Environment & Occupation” were the two main subjects, while the keywords “asbestos”, “lung cancer”, “gene expression”, “apoptosis”, “survival”, and “cisplatin” were the most popular. Conclusions: The containment of mesothelioma calls for more participation from low- and middle-income countries, and further attention needs to be paid to clinical research.
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Goldman, Mary, Brian Craft, Jingchun Zhu, and David Haussler. "Abstract 5039: Visualization and analysis of cancer genomics data using UCSC Xena." Cancer Research 82, no. 12_Supplement (June 15, 2022): 5039. http://dx.doi.org/10.1158/1538-7445.am2022-5039.
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Abstract UCSC Xena (http://xena.ucsc.edu/) is a web-based visual integration and exploration tool for multi-omic data and associated clinical and phenotypic annotations. Researchers can easily view and explore public data, their own private data, or both using the Xena Browser. Private data are kept on the researcher's computer and are never uploaded to our public servers. The toll supports Mac, Windows, and Linux. Questions Xena can help you answer: 1) Is overexpression of this gene associated with lower/higher survival? 2) What genes are differentially expressed between these two groups of samples? 3) What is the relationship between mutation, copy number, expression, etc for this gene? Xena showcases seminal cancer genomics datasets from TCGA, the Pan-Cancer Atlas, GDC, PCAWG, ICGC, and more; a total of more than 1500 datasets across 50 cancer types. We support virtually any type of functional genomics data: SNPs, INDELs, copy number variation, gene expression, ATAC-seq, DNA methylation, exon-, transcript-, miRNA-, lncRNA-expression, and structural variants. We also support clinical data such as phenotype information, subtype classifications and biomarkers. All of our data is available for download via python or R APIs, or using our URL links. Our signature Visual Spreadsheet view shows multiple data types side-by-side enabling discovery of correlations across and within genes and genomic regions. We also have dynamic Kaplan-Meier survival analysis, powerful filtering and subgrouping, differential gene expression analysis, charts, statistical analyses, genomic signatures, and the ability to generate URLs to live views. We link out to the UCSC Genome Browser as well as MuPIT/CRAVAT and TumorMap. New features include: - Genome-wide differential gene expression analysis - New interface for filtering samples and creating subgroups - New interface to create charts and graphs - Violin plots on any numerical data - Loading of Microsoft Excel files - A new Publication Page showcasing publications and authors that use UCSC Xena Our beta prototype for visualizing single-cell data delivers million-cell-scale multi-omics data for interactive visualization in a web browser. Citation Format: Mary Goldman, Brian Craft, Jingchun Zhu, David Haussler. Visualization and analysis of cancer genomics data using UCSC Xena [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 5039.
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Goldman, Mary, Brian Craft, Jingchun Zhu, and David Haussler. "Abstract 2066: Visualization and analysis of cancer genomics data using UCSC Xena." Cancer Research 83, no. 7_Supplement (April 4, 2023): 2066. http://dx.doi.org/10.1158/1538-7445.am2023-2066.
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Abstract UCSC Xena (http://xena.ucsc.edu/) is a web-based visual integration and exploration tool for multi-omic data and associated clinical and phenotypic annotations. Researchers can easily view and explore public data, their own private data, or both using the Xena Browser. Private data are kept on the researcher's computer and are never uploaded to our public servers. We support Mac, Windows, and Linux. Questions Xena can help you answer: * Is overexpression of this gene associated with lower/higher survival? * What genes are differentially expressed between these two groups of samples? * What is the relationship between mutation, copy number, expression, etc for this gene? Xena showcases seminal cancer genomics datasets from TCGA, the Pan-Cancer Atlas, GDC, PCAWG, ICGC, and more; a total of more than 1500 datasets across 50 cancer types. We support virtually any type of functional genomics data: SNPs, INDELs, copy number variation, gene expression, ATAC-seq, DNA methylation, exon-, transcript-, miRNA-, lncRNA-expression and structural variants. We also support clinical data such as phenotype information, subtype classifications and biomarkers. All of our data is available for download via python or R APIs, or using our URL links. Our signature Visual Spreadsheet view shows multiple data types side-by-side enabling discovery of correlations across and within genes and genomic regions. We also have dynamic Kaplan-Meier survival analysis, powerful filtering and subgrouping, differential gene expression analysis, charts, statistical analyses, genomic signatures, and the ability to generate URLs to live views. We link out to the UCSC Genome Browser as well as MuPIT/CRAVAT and TumorMap. New features include: * Genome-wide differential gene expression analysis * Select samples directly from the screen for filtering and creating subgroups * Violin plots on any numerical data * Loading of Microsoft Excel files Our beta prototype site for visualizing single-cell data delivers million-cell-scale multi-omics data for interactive visualization in a web browser. Contact us for access to our beta prototype site. If you use us please cite our publication in Nature Biotechnology: https://www.nature.com/articles/s41587-020-0546-8 Citation Format: Mary Goldman, Brian Craft, Jingchun Zhu, David Haussler. Visualization and analysis of cancer genomics data using UCSC Xena [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 2066.
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Goldman, Mary, Brian Craft, Jingchun Zhu, and David Haussler. "Abstract 7406: Visualization and analysis of cancer genomics data using UCSC Xena." Cancer Research 84, no. 6_Supplement (March 22, 2024): 7406. http://dx.doi.org/10.1158/1538-7445.am2024-7406.
Full textAbstract:
Abstract UCSC Xena (http://xena.ucsc.edu/) is a web-based visual integration and exploration tool for multi-omic data and associated clinical and phenotypic annotations. Researchers can easily view and explore public data, their own private data, or both using the Xena Browser. Private data are kept on the researcher's computer and are never uploaded to our public servers. We support Mac, Windows, and Linux. Questions Xena can help you answer:* Is overexpression of this gene associated with lower/higher survival?* What genes are differentially expressed between these two groups of samples?* What is the relationship between mutation, copy number, expression, etc for this gene? Xena showcases seminal cancer genomics datasets from TCGA, the Pan-Cancer Atlas, GDC, PCAWG, ICGC, and more; a total of more than 1500 datasets across 50 cancer types. We support virtually any type of functional genomics data: SNPs, INDELs, copy number variation, gene expression, ATAC-seq, DNA methylation, exon-, transcript-, miRNA-, lncRNA-expression and structural variants. We also support clinical data such as phenotype information, subtype classifications and biomarkers. All of our data is available for download via python or R APIs, or using our URL links. Our signature Visual Spreadsheet view shows multiple data types side-by-side enabling discovery of correlations across and within genes and genomic regions. We also have dynamic Kaplan-Meier survival analysis, powerful filtering and subgrouping, differential gene expression analysis, GSEA, charts, statistical analyses, genomic signatures, and the ability to generate URLs to live views. New features include: * Genome-wide differential gene expression analysis * GSEA analysis * Select samples directly from the screen for filtering and creating subgroups * Loading of Microsoft Excel files Our beta prototype site for visualizing single-cell data delivers million-cell-scale multi-omics data for interactive visualization in a web browser. Contact us for access to our beta prototype site. If you use us please cite our publication in Nature Biotechnology: https://www.nature.com/articles/s41587-020-0546-8 Citation Format: Mary Goldman, Brian Craft, Jingchun Zhu, David Haussler. Visualization and analysis of cancer genomics data using UCSC Xena [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 7406.
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Wang, Wei, Xingxing Wu, An He, and Zeqiang Chen. "Modelling and Visualizing Holographic 3D Geographical Scenes with Timely Data Based on the HoloLens." ISPRS International Journal of Geo-Information 8, no. 12 (November 28, 2019): 539. http://dx.doi.org/10.3390/ijgi8120539.
Full textAbstract:
Commonly, a three-dimensional (3D) geographic information system (GIS) is based on a two-dimensional (2D) visualization platform, hindering the understanding and expression of the real world in 3D space that further limits user cognition and understanding of 3D geographic information. Mixed reality (MR) adopts 3D display technology, which enables users to recognize and understand a computer-generated world from the perspective of 3D glasses and solves the problem that users are restricted to the perspective of a 2D screen, with a broad application foreground. However, there is a gap, especially dynamically, in modelling and visualizing a holographic 3D geographical Scene with GIS data/information under the development mechanism of a mixed reality system (e.g., the Microsoft HoloLens). This paper attempts to propose a design architecture (HoloDym3DGeoSce) to model and visualize holographic 3D geographical scenes with timely data based on mixed reality technology and the Microsoft HoloLens. The HoloDym3DGeoSce includes two modules, 3D geographic scene modelling with timely data and HoloDym3DGeoSce interactive design. 3D geographic scene modelling with timely data dynamically creates 3D geographic scenes based on Web services, providing materials and content for the HoloDym3DGeoSce system. The HoloDym3DGeoSce interaction module includes two methods: Human–computer physical interaction and human–computer virtual–real interaction. The human–computer physical interaction method provides an interface for users to interact with virtual geographic scenes. The human–computer virtual–real interaction method maps virtual geographic scenes to physical space to achieve virtual and real fusion. According to the proposed architecture design scheme, OpenStreetMap data and the BingMap Server are used as experimental data to realize the application of mixed reality technology to the modelling, rendering, and interacting of 3D geographic scenes, providing users with a stronger and more realistic 3D geographic information experience, and more natural human–computer GIS interactions. The experimental results show that the feasibility and practicability of the scheme have good prospects for further development.
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He, Siyi, Yue Zhao, Yongsheng Fan, Xue Zhao, Jun Yu, Jie Xie, Chunhong Wang, and Jianmei Su. "Research Trends and Hotspots Analysis Related to Monocarboxylate Transporter 1: A Study Based on Bibliometric Analysis." International Journal of Environmental Research and Public Health 16, no. 7 (March 27, 2019): 1091. http://dx.doi.org/10.3390/ijerph16071091.
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Background: Monocarboxylate transport protein 1 (MCT1) has been defined as a critical regulator in tumor energy metabolism, but bibliometric analysis of MCT1 research is rare. This study aimed to comprehensively analyze the global scientific output of MCT1 research and explore the hotspots and frontiers from the past decade. Methods: Publications and their literature information from 2008 to 2018 were retrieved from the Web of Science Core Collection database. We used Microsoft Excel 2016 to detect the trend of annual numbers of publications, and used Citespace V software as the bibliometric method to analyze the research areas, countries, institutions, authors, journals, research hotspots, and research frontiers. Results: A total of 851 publications were identified with an increasing trend. Relevant literature mainly focused on the field of oncology. The most prolific country and institution were the USA and University of Minho, respectively. Baltazar was the most productive author while Halestrap had the highest co-citations. The hottest topics in MCT1 were hypoxia, gene expression, and CD147 over the last decade. The three research frontier topics were proliferation, tumor cell, and resistance. The special role of MCT1 in human tumor cells has become the focus for scholars recently. Conclusion: The development prospects of MCT1 research could be expected and researchers should pay attention to the clinical significance of MCT1 inhibitors as anti-cancer or immunosuppressive drugs and the possibility of drug-resistance formation.
Books on the topic "Microsoft Expression Web"
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C, Leinecker Richard, ed. Microsoft Expression Web 2. San Francisco: McGraw-Hill Companies, 2009.
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T, Campbell Jennifer, and Rivers Ollie N, eds. Microsoft Expression Web 3 comprehensive. Boston, Mass: Course Technology/Cengage Learning, 2011.
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Hefferman, Linda. Microsoft Expression Web for dummies. Indianapolis, IN: Wiley Pub., Inc., 2007.
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Murray, Katherine. Microsoft Expression Web plain & simple. Redmond, WA: Microsoft Press, 2008.
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Riley, Julie. Microsoft Expression Web: Illustrated : complete. Boston, MA: Course Technology, 2009.
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T, Campbell Jennifer, ed. Microsoft Expression Web 3: Introductory. Boston, MA: Course Technology, Cengage Learning, 2011.
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T, Campbell Jennifer, and Rivers Ollie N, eds. Microsoft Expression Web 3: Complete. Boston, MA: Course Technology/Cengage Learning, 2011.
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Hester, Nolan. Microsoft Expression Web 2 for Windows. Berkeley, Calif: Peachpit, 2008.
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Leeds, Chris. Microsoft Expression Web step by step. Redmond, WA: Microsoft Press, 2008.
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