Disclosure: Contemporary Drawing Interpreted, Emphasized, and Revealed

Show card for exhibition Disclosure. November 4 - 15, 2002.https://digitalcommons.udallas.edu/disclosure/1000/thumbnail.jp

Sarcoma treatment in the era of molecular medicine

Sarcomas are heterogeneous and clinically challenging soft tissue and bone cancers. Although constituting only 1% of all human malignancies, sarcomas represent the second most common type of solid tumors in children and adolescents and comprise an important group of secondary malignancies. More than 100 histological subtypes have been characterized to date, and many more are being discovered due to molecular profiling. Owing to their mostly aggressive biological behavior, relative rarity, and occurrence at virtually every anatomical site, many sarcoma subtypes are in particular difficult-to-treat categories. Current multimodal treatment concepts combine surgery, polychemotherapy (with/without local hyperthermia), irradiation, immunotherapy, and/or targeted therapeutics. Recent scientific advancements have enabled a more precise molecular characterization of sarcoma subtypes and revealed novel therapeutic targets and prognostic/predictive biomarkers. This review aims at providing a comprehensive overview of the latest advances in the molecular biology of sarcomas and their effects on clinical oncology; it is meant for a broad readership ranging from novices to experts in the field of sarcoma.Peer reviewe

MultiView-Systeme zur explorativen Analyse unstrukturierter Information

Information research tasks often require condensed information from different information sources. Patent analysis, for instance, requires the combination of structured data like patent classes or company names with unstructured text documents like patent abstracts or claims. Due to missing IT support, the combined analy-sis of structured and unstructured information often remains a manual and intellectual task. This work motivates, develops and evaluates an approach for interactive text and data analytics. The goal of this approach is to offer concise exploration of the task-relevant information and relationships in a single system. Information from text documents, categories and relational data is presented in graphical views which are interactively coupled so that information relationships might be used for navigation among views. The system SWAPit implements the system concept. One conceptional-technical challenge has been the adaptability of the reference technology for different application domains, business processes, and tasks. Therefore, the methods for tailoring the system and for measuring usefulness are considered important con-tributions by themselves. SWAPit has been evaluated and optimized in a broad spectrum of industrial case studies from the fields of Business Intelligence (BI), Customer Relationship Management (CRM), and Coop-erative Work (CSCW)

MultiView-Systeme zur explorativen Analyse unstrukturierter Information

Information research tasks often require condensed information from different information sources. Patent analysis, for instance, requires the combination of structured data like patent classes or company names with unstructured text documents like patent abstracts or claims. Due to missing IT support, the combined analy-sis of structured and unstructured information often remains a manual and intellectual task. This work motivates, develops and evaluates an approach for interactive text and data analytics. The goal of this approach is to offer concise exploration of the task-relevant information and relationships in a single system. Information from text documents, categories and relational data is presented in graphical views which are interactively coupled so that information relationships might be used for navigation among views. The system SWAPit implements the system concept. One conceptional-technical challenge has been the adaptability of the reference technology for different application domains, business processes, and tasks. Therefore, the methods for tailoring the system and for measuring usefulness are considered important con-tributions by themselves. SWAPit has been evaluated and optimized in a broad spectrum of industrial case studies from the fields of Business Intelligence (BI), Customer Relationship Management (CRM), and Coop-erative Work (CSCW)

A Task-Model for Text Corpus Analysis in Knowledge Management

. Task-models are user-centered representations of goals and actions a user needs to perform in the context of information processing. They help to characterize tasks which might be fruitfully supported by current or future systems and therefore are promising aids for a deeper understanding of user activities in certain application domains. This paper presents a taxonomy for document analysis tasks which are relevant in particular in knowledge management and can potentially be aided by visual text-access technology. The task-model is developed in three steps: Selected domain-independent task-models from literature are condensed to form a theoretical basis for the development of a specialized model. Case studies concerned with different document analysis tasks as well as results of a survey in knowledge-intensive industries complete and optimize the specialized task-model for document analysis in knowledge management.

Analysing Associations of Textual and Relational Data With a Multiple Views System

Information access is developing from data- to content-oriented access, as the hype of semantic web technologies confirms. Combining the access to textual and database data is one aspect on this way. In the pape

A.: Exploiting Metadata for Ontology-Based Visual Exploration of Weakly Structured Text Documents

A large amount of strategically relevant business information is contained in unstructured texts. While information brokering approaches are used to contextualize such documents and to generate metadata, text mining is used to explore large document spaces. So far, little attention has been paid on a value-adding combination of these technologies. In this paper we show how metadata and documents can be complementarily represented and used interactively to support users in text corpus analysis. We present a text analysis portal which displays interdocument similarity by means of so-called document maps, complemented by a display of the domain ontology and metadata-based access methods. 1