82 research outputs found
Using usability-tests to improve language match of a web-based system for digital triage in primary care
Predicting semantic labels of text regions in heterogeneous document images
Contains fulltext :
214639.pdf (publisher's version ) (Open Access)KONVENS 2019: 15th Conference on Natural Language Processing, Erlangen, Germany, October 9-11, 201
Designing a Story Database for Use in Automatic Story Generation
In this paper we propose a model for the representation of stories in a story database. The use of such a database will enable computational story generation systems to learn from previous stories and associated user feedback, in order to create believable stories with dramatic plots that invoke an emotional response from users. Some of the distinguishing characteristics of our proposal are the inclusion of what we call ‘narratological concepts’ and user
feedback in the story database
Controlled Release of Therapeutics from Thermoresponsive Nanogels: A Thermal Magnetic Resonance Feasibility Study
Thermal magnetic resonance (ThermalMR) accommodates radio frequency (RF)-induced temperature modulation, thermometry, anatomic and functional imaging, and (nano)molecular probing in an integrated RF applicator. This study examines the feasibility of ThermalMR for the controlled release of a model therapeutics from thermoresponsive nanogels using a 7.0-tesla whole-body MR scanner en route to local drug-delivery-based anticancer treatments. The capacity of ThermalMR is demonstrated in a model system involving the release of fluorescein-labeled bovine serum albumin (BSA-FITC, a model therapeutic) from nanometer-scale polymeric networks. These networks contain thermoresponsive polymers that bestow environmental responsiveness to physiologically relevant changes in temperature. The release profile obtained for the reference data derived from a water bath setup used for temperature stimulation is in accordance with the release kinetics deduced from the ThermalMR setup. In conclusion, ThermalMR adds a thermal intervention dimension to an MRI device and provides an ideal testbed for the study of the temperature-induced release of drugs, magnetic resonance (MR) probes, and other agents from thermoresponsive carriers. Integrating diagnostic imaging, temperature intervention, and temperature response control, ThermalMR is conceptually appealing for the study of the role of temperature in biology and disease and for the pursuit of personalized therapeutic drug delivery approaches for better patient care
When Bereaved of Everything: Objects from the Concentration Camp of Ravensbrück as Expressions of Resistance, Memory, and Identity
Shear Wave Splitting Analysis to Estimate Fracture Orientation and Frequency Dependent Anisotropy
Shear wave splitting is a well-known method for indication of orientation, radius, and length of fractures in subsurface layers. In this paper, a three component near offset VSP data acquired from a fractured sandstone reservoir in southern part of Iran was used to analyse shear wave splitting and frequency-dependent anisotropy assessment. Polarization angle obtained by performing rotation on radial and transverse components of VSP data was used to determine the direction of polarization of fast shear wave which corresponds to direction of fractures. It was shown that correct implementation of shear wave splitting analysis can be used for determination of fracture direction. During frequency- dependent anisotropy analysis, it was found that the time delays in shear- waves decrease as the frequency increases. It was clearly demonstrated throughout this study that anisotropy may have an inverse relationship with frequency. The analysis presented in this paper complements the studied conducted by other researchers in this field of research
Making effective use of healthcare data using data-to-text technology
Healthcare organizations are in a continuous effort to improve health
outcomes, reduce costs and enhance patient experience of care. Data is
essential to measure and help achieving these improvements in healthcare
delivery. Consequently, a data influx from various clinical, financial and
operational sources is now overtaking healthcare organizations and their
patients. The effective use of this data, however, is a major challenge.
Clearly, text is an important medium to make data accessible. Financial reports
are produced to assess healthcare organizations on some key performance
indicators to steer their healthcare delivery. Similarly, at a clinical level,
data on patient status is conveyed by means of textual descriptions to
facilitate patient review, shift handover and care transitions. Likewise,
patients are informed about data on their health status and treatments via
text, in the form of reports or via ehealth platforms by their doctors.
Unfortunately, such text is the outcome of a highly labour-intensive process if
it is done by healthcare professionals. It is also prone to incompleteness,
subjectivity and hard to scale up to different domains, wider audiences and
varying communication purposes. Data-to-text is a recent breakthrough
technology in artificial intelligence which automatically generates natural
language in the form of text or speech from data. This chapter provides a
survey of data-to-text technology, with a focus on how it can be deployed in a
healthcare setting. It will (1) give an up-to-date synthesis of data-to-text
approaches, (2) give a categorized overview of use cases in healthcare, (3)
seek to make a strong case for evaluating and implementing data-to-text in a
healthcare setting, and (4) highlight recent research challenges.Comment: 27 pages, 2 figures, book chapte
Fachinformation und EDV-Arbeitstechniken für Historiker: Einführung und Arbeitsbuch
'Der Sammelband versucht, die Erfahrungen einzufangen, die von den Herausgebern in den vergangenen Jahren an der Humboldt-Universität zu Berlin in der studentischen EDV-Ausbildung und beim Aufbau vernetzter Informationsdienste für Historiker gemacht wurden. Es handelt sich weder um einen der üblichen Sammelbände noch um eine einfache Softwareeinführung, sondern um ein praktisches Arbeitsbuch für Studierende und Nachwuchswissenschaftler zu Fragen des EDV-Einsatzes in den Geschichtswissenschaften. Dabei stehen das 'Internet' bzw. der Einsatz der sogenannten 'Neuen Medien' im Mittelpunkt. Im ersten Kapitel wird zunächst das Verhältnis der EDV zu den Geisteswissenschaften geklärt. Dies schließt eine Einführung in die Geschichte der EDV und die Betrachtung der EDV-Einsatzfelder in den Geschichtswissenschaften zu den Themen Bibliotheken im Internet, Wissenschaftlicher Alltag und Lehre sowie spezielle historische Fachinformationsangebote ein. Im zweiten Kapitel wird näher auf die Grundlagen der Datenverarbeitung eingegangen. Dabei liegt neben dem PC- und Netzbasiswissen das Hauptaugenmerk auf dem Internet und seinen Diensten. Darauf aufbauend werden im dritten Kapitel ausgewählte Applikationen aus den Bereichen Textverarbeitung, Beschreibungs- und Skriptsprachen, Tabellenkalkulation, Datenanalyse & Datenbanksysteme sowie Grafik, Präsentation und Multimedia an historischen Beispielen in ihrem Funktionsumfang vorgestellt. Im abschließenden vierten Kapitel wird der EDV-Einsatz in den Geschichtswissenschaften an ausgewählten Projekten in Forschung und Lehre exemplarisch beschrieben.' (Autorenreferat
Project Brainstorm: Using Neuroscience to Connect College Students with Local Schools
Neuroscience can be used as a tool to inspire an interest in science in school children as well as to provide teaching experience to college students
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