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In order to study the receptor system for adrenocortical steroids, hippocampal cytosolic preparations—containing both type I and type II receptors—were subjected to anion exchange fast protein liquid chromatography (FPLC). With running buffer containing Tris, EDTA, and glycerol three peaks (1–3) were eluted from the column at 220, 400 and 560 mM NaCl respectively regardless of whether [3H]corticosterone or [3H]RU 28362 had been used as radiotracer. None of the peaks was caused by serum transcortin as revealed by control studies. However, the sequestering influence of transcortin on receptor binding of corticosterone could be demonstrated by the FPLC technique with mixtures containing serum and hippocampus cytosol. Competition experiments with cytosolic samples revealed that type I receptor was present only in peaks 2 and 3 while type II was found in all three peaks in variable amounts, depending on the presence of molybdate. When molybdate was added to the running buffer only two peaks (2 and 3) were eluted, both containing type I and type II receptors. Peak 1 was attributed to the activated type II receptor while peak 2 represented nonactivated receptors. The origin of peak 3 remains uncertain. The data indicate that molybdate must be present in the cytosolic preparation and in the running buffer to keep type II receptor in its nonactivated form. Type I receptor was probably not transformed into the activated form in the absence of molybdate but lost binding capacity and/or affinity for corticosterone.

Aminoglycoside antibiotics inhibit protein biosynthesis and various ribozymes. Structural electrostatic complementarity can explain the inhibition mechanism of the hammerhead ribozyme: positively charged ammonium groups match the negatively charged metalion-binding pockets created by the RNA fold's electrostatic field.

As many users who are charged with process monitoring need to focus mainly on other work while performing monitoring as a secondary task, monitoring systems that purely rely on visual means are often not well suited for this purpose. Sonification, the presentation of data as (non-speech) sound, has proven in several studies that it can help in guiding the user's attention, especially in scenarios where process monitoring is performed in parallel with a different, main task. However, there are several aspects that have not been investigated in this area so far, for example if a continuous soundscape can guide the user's attention better than one that is based on auditory cues. We have developed a system that allows reproducible research to answer such questions. In this system, the participants' performance both for the main task (simulated by simple arithmetic problems) and for the secondary task (a simulation of a production process) can be measured in a more fine-grained manner than has been the case for existing research in this field. In a within-subject study (n=18), we compared three monitoring conditions - visual only, visual + auditory alerts and a condition combining the visual mode with continuous sonification of process events based on a forest soundscape. Participants showed significantly higher process monitoring performances in the continuous sonification condition, compared to the other two modes. The performance in the main task was at the same time not significantly affected by the continuous sonification. HighlightsWe present a system for reproducible research in sonification for process monitoring.We developed an experiment design to analyze effectiveness in monitoring as secondary task.We compared continuous sonification to visual-only and auditory alerts.Continuous sonification significantly enhances the adequacy of interactions.Participants find continuous sonification significantly more helpful and reassuring.

Dept. of Geology and Geological Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1977 .H456. Source: Masters Abstracts International, Volume: 40-07, page: . Thesis (M.Sc.)--University of Windsor (Canada), 1977.

This paper presents the concept of a fast-frame-processor for on-line analysis of fringe patterns which allows the recording of phase-shifted fringe patterns and the successive analysis of the image data by the phase shift algorithm in video real-time. Examples will demonstrate the use of fast-fringe-analysis for holography, speckle technique, moire-and 3D-measuring techniques. Additionally it points out the fast-frame-processor's ability of carrying out nearly all operations needed for the prepro-cessing of images in video-real-time; e.g. filter-operations, contrast enhancement, background correction, averaging and so on. In particular, this system enables true color image processing and color classification in video-real-time.

In order to study the receptor system for adrenocortical steroids in rat brain the synthetic glucocorticoid RU 28362 (11 beta, 17 beta-dihydroxy-6-methyl-17 alpha-(1-propynyl) androsta-1,4,6-trien-3-one) has been used for photoaffinity labeling. Competition and dissociation studies revealed a single class of binding sites for RU 28362 in rat brain cytosol. Photoaffinity labeling was performed by u.v.-irradiation for 2 min with a coupling efficiency of about 25%. The high efficiency permitted investigation of crude cytosolic preparations under denaturating conditions. Sodium dodecyl sulfate (SDS) and high resolution two-dimensional gel electrophoresis confirmed the high specificity of the photoaffinity labeling. The molecular weight (93 kD) as well as the isoelectric point (5.6) evaluated by these methods corresponded well to data reported for the classical glucocorticoid receptor in rat liver.

1. Heterotopic bone formation in abdominal scars is not as rare as the paucity of case reports in the literature would indicate. 2. Females comprised 21 percent of our patients. 3. The average age was fifty-five years. 4. The probable cause of this bone formation is injury to the xiphoid process above or the pubis below, with liberation of bone-forming cells into the wound. 5. Heterotopic bone usually remains permanently in the wound, but it can be absorbed and disappear, as was noted in one of our patients. 6. The bone should only be excised if it causes enough discomfort to warrant its removal. Careful removal should avoid recurrence. 7. In operations for intra-abdominal malignant lesions, bone formation should not be mistaken for recurrent malignant disease in the abdominal wall.

Multiparameter imaging techniques provide large numbers of high-dimensional image data in modern biomedical research. Besides algorithms for image registration, normalization and segmentation, new methods for interactive data exploration must be proposed and evaluated. We propose a new approach for auditory data representation, based on sonification. The approach is applied to a multiparameter image data set, generated with immunofluorescence techniques and compared to a conventional visualization approach and to a combination of both. For comparison, a psychophysical experiment was conducted, in which one standard evaluation procedure is modeled. Our results show, that all three approaches lead to comparable evaluation accuracies for all subjects. We conclude, that both, acoustical and visual approaches can be combined to display data sets of large dimensionality.

This paper presents a real-time sonification system for Electrocardiography (ECG) monitoring and diagnostic. We introduce two novel sonification designs: (a) Auditory magnification loupe, a method to sonify important beat-to-beat variations when doing sports activities, and (b) ST-segment water ambience sonification, which aims to assist clinicians in the diagnostic process by building a soundscape that exhibits ECG signal abnormalities as the analysed signal deviates from a healthy ECG. The proposed methods were designed to assist users to unobtrusively monitor their own (or their patients') heart signal in situations when a visual-only representation is not convenient for the proper fulfilment of a given task.Using CardioSounds users receive auditory feedback in order to monitor important heart rhythm disturbances (e.g. Arrhythmia) or pathologies due to a blocking of the heart's vessels.

We compute three-loop matching corrections to the Wilson coefficients $C_7$ and $C_8$ in the Two Higgs Doublet Model by applying expansions for small, intermediate and large charged Higgs boson masses. The results are used to evaluate the branching ratio of $\bar{B}\to X_s \gamma$ to next-to-next-to leading order accuracy, and to determine an updated lower limit on the charged Higgs boson mass. We find $\mhplus \ge 380 $GeV at 95% confidence level when the recently completed BABAR data analysis is taken into account. Our results for the charged Higgs contribution to the branching ratio exhibit considerably weaker sensitivity to the matching scale $\mu_0$, as compared to previous calculations., Comment: 20 pages, 15 figures; v2: minor modifications, matches published version in JHEP

An important step for the correlation of EEG signals with cognitive processes is the identification of discriminative features in the EEG signal. In this paper we utilize independent component analysis (ICA) for feature extraction and selection. Our specific ICA technique is based on a nonparametric source representation which in particular allows for modelling of multimodal feature distributions as generally required for the analysis of mixed data from different experiment conditions. To demonstrate the potential of the resulting ICA feature selection scheme we report results from an analysis of psycholinguistic experiments on the discrimination of speech perception from perception of so-called pseudo speech signals and demonstrate how the obtained ICA features can be further analyzed with the technique of sonification. Our results correlate well with results from coherence analysis and strongly indicate that these new methods are well suited for uncovering cognitively relevant features in EEG signals.

In this work, we present and evaluate a novel ambient information display that is designed to provide unobtrusive yet engaging feedback. The basis of this display is a natural, living plant, which is augmented in several ways to enable it to indicate information in various different ways. We describe the design and the construction of the InfoPlant, discuss its different modalities and present two demonstrator systems, including a novel eco-feedback display. A subsequent study showed that the InfoPlant was indeed perceived as unobtrusive by the large majority of participants and that it was easily accepted as a possible new entity in a living-room context. Also, the provided feedback was assessed as generally very helpful and that it would make users aware of their resource consumption and could have an influence on their consumption behavior.

Extracting and visualizing concepts and relationship between text documents strongly depends on the used similarity measure. In order to provide meaningful visualizations and to extract useful knowledge from document collections, user needs must be captured by the internal representation of documents, and the used similarity measure. In most applications the Vector Space Model and the Cosine similarity are used therefore and serve as good approximations. Nevertheless, influencing similarities between documents is rather hard, since parameter tuning relies heavily on expert knowledge of the underlying algorithms, and the influence of different weighting schemes and similarity measures is not known before. In this paper we present an approach on how to adapt the vector space representation of documents by giving visual feedback to the system. Our approach starts by clustering a corpus of text documents and visualizing the results using multi dimensional scaling techniques. Afterwards, a 2D landscape visualization is shown which can be manipulated by the user. Based on these manipulations the high dimensional representation of the documents is adapted to fit the users need more precisely. Our experiments show that iterating these steps results in an adapted representation of documents and similarities, generating layouts as intended by the user and furthermore increases clustering accuracy. While this paper only investigates the influence on clustering and visualization, the method itself may also be used for increasing classification and retrieval performance since it adapts to the users need of similarity.

Contexte : Les invasions biologiques constituent une des menaces principales de l'érosion de la biodiversité dans le monde et notamment sur l'île de La Réunion. Cette étude a pour but de coordonner et de spatialiser les enjeux de conservation, en rassemblant toutes les données existantes pour établir un état des lieux spatialisé à une échelle utile aux gestionnaires afin de prioriser les actions de gestion des plantes exotiques envahissantes. Une approche de priorisation spatiale basée sur un algorithme d'aide à la décision a été utilisée. Cette approche est participative et co-développée avec les gestionnaires afin de répondre à une demande du département de La Réunion. Approche : Nous avons rassemblés un ensemble solide de données quant à la distribution de la faune et de la flore indigènes, la répartition des habitats et leur niveau d'invasion. L'ensemble de ces données ont été insérées au sein d'un logiciel d'aide à la décision, Zonation, permettant l'identification des enjeux de conservation. L'utilisation de ce logiciel permet l'identification de priorités objectives et basées sur des concepts clés. Ainsi, les priorités identifiées mettent en avant les zones peu envahies, les habitats et espèces rares et sont représentatives de l'ensemble de la biodiversité. Une fois les enjeux de conservation identifiés, il est possible de définir les priorités d'actions de lutte contre les plantes exotiques. Pour cela, trois critères opérationnels ont été utilisés : l'accessibilité de la zone, les priorités d'intervention et l'historique des chantiers. Résultats : Ces analyses nous ont permis d'identifier 58 500 ha d'enjeux de conservation parmi lesquels 30% sont considérés comme non envahis, ce qui implique des actions de surveillance. A l'inverse, 53 714 ha de zones potentielles d'intervention ont été identifiées. Parmi ces zones, 4392 ha sont considérés comme étant de forte priorité. Trois résultats principaux y sont présentés : la carte du degré d'invasion, les enjeux de conservation et les priorités d'actions de lutte. Les données spatiales sont téléchargeables sur le site du GEIR : https://www.especesinvasives.re/en-pratique/documents-et-outils/article/documents-et-outils

This paper proposes a framework for gestural interaction with information sanification in order to both monitor data aurally and, in addition, to interact with it, transform and even modify the source data in a two-way communication model (Figure I). Typical data sonification uses automatically generated computational modelling of information, represented in parameters of auditory display, to convey data in an informative representation. It is essentially a one-way data to display process and interpretation by users is usually a passive experience. In contrast, gesture controllers, spatial interaction, gesture recognition hardware and software, are used by musicians and in augmented reality systems to affect, manipulate and perform with sounds. Numerous installation and artistic works arise from motion-generated audio.