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Wie wird Vaterschaft ermittelt? Das Bundesverfassungsgerichtsurteil zu so genannten heimlichen Vaterschaftstests hat einen Anspruch auf die genetische Abstammungsklärung verankert. Ziel dieser Klärung ist es für Väter, festzustellen, ob ihr rechtliches Kind auch ihr biologisches Kind ist. Dem Urteil folgte ein Gesetz zur Klärung der Abstammung. Das neue Gesetz schafft den „stets sicheren“ Vater. Wie ist es vor diesem Hintergrund um die Sicherheit des Kindes bestellt? In welchem Verhältnis stehen Vaterrechte und Kinderrechte? Diesen Fragen geht Sabina Schutter anhand eines diskursanalytischen Verfahrens nach.
We present a novel lecture browser that utilizes ranked key phrases displayed on a stream graph to overcome the shortcomings of traditional extractive (query-based) summaries. The system extracts key phrases from the ASR transcripts, performs an unsupervised ranking, and displays an initial number of phrases on the stream graph. This graph gives an intuition of when which key phrase is spoken, and how dominant it is throughout the lecture. The user can select the phrases to be displayed and furthermore adjust the ranking of the all phrases. All user interactions are logged to a server to improve the ranking algorithms and provide user specific rankings.
A growing number of universities offer recordings of lectures, seminars and talks in an online e-learning portal. However, the user is often not interested in the entire recording, but is looking for parts covering a certain topic. Usually, the user has to either watch the whole video or “zap” through the lecture and risk missing important details. We present an integrated web-based platform to help users find relevant sections within recorded lecture videos by providing them with a ranked list of key phrases. For a user-defined subset of these, a StreamGraph visualizes when important key phrases occur and how prominent they are at the given time. To come up with the best key phrase rankings, we evaluate three different key phrase ranking methods using lectures of different topics by comparing automatic with human rankings, and show that human and automatic rankings yield similar scores using Normalized Discounted Cumulative Gain (NDCG).
Environmental scanning electron microscopy (ESEM) and complementary methods were employed to study the time dependent film formation of a latex dispersion in water and cement pore solution. First, a model carboxylated styrene/n-butyl acrylate latex dispersion possessing a minimum film forming temperature (MFFT) of 18 °C was synthesized in aqueous media via emulsion polymerization. Its film forming property was at a temperature of 40 °C, studied under an ESEM. The analysis revealed that upon removal of water, film formation occurs as a result of particle packing, particle deformation and finally particle coalescence. Film formation is significantly retarded when the latex dispersion is present in cement pore solution. This effect can be ascribed to adsorption of Ca2+ ions onto the surface of the anionic latex particles and to interfacial secondary phases. This layer of adsorbed Ca2+ ions hinders interdiffusion of the macromolecules and subsequent film formation of the latex polymer.
Objective: To identify candidate categories for brief International Classification of Functioning, Disability and Health (ICF) Core Sets for the reporting and measurement of functioning in patients in the acute hospital.
Design: Prospective multi-centre cohort study.
Patients: Patients receiving rehabilitation interventions for musculoskeletal, neurological or cardiopulmonary injury or disease in acute hospitals.
Methods: Functioning and contextual factors were coded using the ICF. The criterion for selecting candidate categories for the brief ICF Core Sets was based on their ability to discriminate between patients with high or low functioning status. Discrimination was assessed using multivariable regression models, the independent variables being all of the ICF categories of the respective comprehensive ICF Core Set. Analogue ratings of overall functioning as reported by patients and health professionals were used as dependent variables.
Results: A total of 391 patients were included in the study (91 neurological, 109 cardiopulmonary, 191 musculoskeletal), mean age 63.4 years, 50.1% female. Selection yielded 33 categories for neurological, 31 for cardiopulmonary, and 30 for musculoskeletal.
Conclusion: The present selection of categories can be considered an initial proposal, serving to identify the ICF categories most relevant for the practical assessment and monitoring of functioning in patients with acute neurological, cardiopulmonary, and musculoskeletal conditions.
In this work we focus on speaker verification on channels of varying quality, namely Skype and high frequency (HF) radio. In our setup, we assume to have telephone recordings of speakers for training, but recordings of different channels for testing with varying (lower) signal quality. Starting from a Gaussian mixture / support vector machine (GMM/SVM) baseline, we evaluate multi-condition training (MCT), an ideal channel classification approach (ICC), and nuisance attribute projection (NAP) to compensate for the loss of information due to the transmission. In an evaluation on Switchboard-2 data using Skype and HF channel simulators, we show that, for good signal quality, NAP improves the baseline system performance from 5% EER to 3.33% EER (for both Skype and HF). For strongly distorted data, MCT or, if adequate, ICC turn out to be the method of choice.
Objective: To identify candidate categories for International Classification of Functioning, Disability and Health (ICF) Core Sets for the reporting and measurement of functioning in patients in early post-acute rehabilitation facilities.
Design: Prospective multi-centre cohort study.
Patients: Patients receiving rehabilitation interventions for musculoskeletal, neurological or cardiopulmonary injury or disease in early post-acute rehabilitation facilities.
Methods: Functioning was coded using the ICF. The criterion for selecting candidate categories for the ICF Core Sets was based on their ability to discriminate between patients with high or low functioning status. Discrimination was assessed using multivariable regression models, the independent variables being all of the ICF categories of the respective comprehensive ICF Core Set. Analogue ratings of overall functioning as reported by patients and health professionals were used as dependent variables.
Results: A total of 165 patients were included in the study (67 neurological, 37 cardiopulmonary, 61 musculoskeletal), mean age 67.5 years, 46.1% female. Selection yielded 38 categories for neurological, 32 for cardiopulmonary, and 31 for musculoskeletal.
Conclusion: The present selection of categories can be considered an initial proposal, serving to identify the issues most relevant for the assessment and monitoring of functioning in patients undergoing early post-acute rehabilitation for neurological, cardiopulmonary, and musculoskeletal conditions.