Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices in many areas of medicine. At present, images needed for instructional purposes or in support of clinical decisions appear in specialized databases and in biomedical articles, and are therefore not easily accessible. Our goal is to automatically annotate images extracted from ...

This paper introduces the new OLdenburg LOgatome speech corpus (OLLO) and outlines design considerations during its creation. OLLO is distinct from previous ASR corpora as it specifically targets (1) the fair comparison between human and machine speech recognition performance, and (2) the realistic representation of intrinsic variabilities in speech that are significant for automatic speech rec...

In the area of large French speech corpora, there is a demonstrated need for a common prosodic notation system allowing for easy data exchange, comparison, and automatic annotation. The major questions are: (1) how to develop a single simple scheme of prosodic transcription which could form the basis of guidelines for non-expert manual annotation (NEMA), used for linguistic teaching and researc...

OBJECTIVE Inattention is a major contributor to driving mishaps and is especially problematic among adolescent drivers with ADHD, possibly contributing to their 2 to 4 times higher incidence of collisions. Manual transmission has been demonstrated to be associated with greater arousal. This study tests the hypotheses that manual transmission, compared to automatic transmission, would be associa...

This ethics committee-approved pilot study was performed with informed consent. A Web-based service that was developed for automated measurement of joint space and automatic analysis of radiographs was tested prospectively. A total of 160 metacarpophalangeal joint spaces were measured in 20 patients (average age, 48 years; age range, 18-89 years; 16 women) suspected of having rheumatoid arthrit...

The Mindful Attention Awareness Scale (MAAS) is one of the most popular measures of mindfulness, exhibiting promising psychometric properties and theoretically consistent relationships to brain activity, mindfulness-based intervention (MBI) outcomes, and mediation of MBI effects. The present study investigated the response patterns and scale properties in a large sample of undergraduate student...

In sources used in oral history research (such as interviews with eye witnesses), passages where the degree of personal emotional involvement is found to be high can be of particular interest, as these may give insight into how historical events were experienced, and what moral dilemmas and psychological or religious struggles were encountered. In a pilot study involving a large corpus of inter...

A brief overview of the principles and associated instrumentation used to monitor polymerization reactions by automatic continuous online monitoring of polymerization reactions (ACOMP) is presented. ACOMP can be used as an analytical method in R&D, as a tool for reaction optimization at the bench and pilot plant level and, eventually, for feedback control of full-scale reactors. ACOMP measures ...

This paper presents a series of experiments on automatic transcription and classification of fillers and feedbacks in conversational speech corpora. A feature combination of PCA projected normalized F0 Constant-Q Cepstra and MFCCs has shown to be effective for standard Hidden Markov Models (HMM). We demonstrate how to model both speaker channel with coupled HMMs and show expected improvements. ...

There are two modes of control recognised in the cognitive psychological literature. Controlled processing is slow, requires serial attention to sub-tasks, and requires effortful memory retrieval and decision making. In contrast automatic control is less effortful, less prone to interference from simultaneous tasks, and is driven largely by the current stimulus. Neurobiological analogues of the...