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The psychological and physiological effects of a socially oriented sensitivity training were evaluated. It is shown that decreased physical distance as well as increased intimacy yields high activation, both in psychological measures (experienced stress) and in pulse frequences. One result (highly significant and replicated in other experiments) was paradoxical: when Ss had to caress the face of a heterosexual vis-a-vis, they reported high experienced stress, but pulse frequences dropped rapidely below the resting pulse. Some suggestions are made to explain these findings. The question arises whether an autonomic somatic process, induced by social Stimulation, but independent of the cognitive coping is responsible for these results.
Based on the results of a 3-day workshop at the Brown University (2012) this white paper tries to sum up important topics and problems which came up in the presentations and discussions and to outline some general aspects of data modeling in digital humanities. Starting with an attempt to define data modeling it introduces distinctions like curation-driven vs. research-driven for a more general description of data modeling. The second part discusses specific problems and challenges of data modeling in the Humanities, while the third part outlines practical aspects, like the creation of data models or their evaluation.
K-Ar dating on hornblendes and micas from the TepläDomazlice zone revealed a pattern of dates which significantly deviates from the mid-Carboniferous to early Permian one that is found in the adjacent low-pressure metamorphic Moldanubian and Saxothuringian. Especially for the Mariänske Läzne metabasic complex, confirming early Czech determinations, the dates resemble the early Devonian pattern determined for the Münchberg Gneiss Massif and the Erbendorf-Vohenstrauß zone of northeastern Bavaria. This supports the idea that all three units are remnants of a huge complex which suffered a metamorphic overprint under medium-pressure conditions, probably in the early Devonian. Streng rejuvenation is found in the southern part of the Teplä-Domailice zone by which micas and even two hornblendes were reset to mid-Carboniferous ages. According to the geological setting, part of the apparently preDevonian dates may be explained by inherited argon from earlier metamorphic and magmatic events, e.g. the high-pressure metamorphism documented in eclogitic relics. However, excess argon, caused by the mid-Carboniferous overprint cannot be excluded.
K-Ar dating on hornblendes and micas from the Tepla Domazlice zone revealed a pattern of dates which significantly deviates from the mid-Carboniferous to early Permian one that is found in the adjacent low-pressure metamorphic Moldanubian and Saxothuringian. Especially for the Marianske Lazne metabasic complex, confirming early Czech determinations, the dates resemble the early Devonian pattern determined for the Munchberg Gneiss Massif and the Erbendorf-Vohenstrau zone of northeastern Bavaria. This supports the idea that all three units are remnants of a huge' complex which suffered a metamorphic overprint under medium-pressure conditions, probably in the early Devonian. Strong rejuvenation is found in the southern part of the Tepla-Domazlice zone by which micas and even two hornblendes were reset to mid-Carboniferous ages. According to the geological setting, part of the apparently preDevonian dates may be explained by inherited argon from earlier metamorphic and magmatic events, e.g. the high-pressure metamorphism documented in eciogitic relics. However, excess argon, caused by the mid-Carboniferous overprint cannot be excluded.
The \(\alpha\)-Sialyl-\(\beta\) 2-3-Galactosyl-specific adhesin (S adhesin) was isolated from cells of a recombinant Escherichia coli K-12 strain expressing the S-flmbrial adhesin complex. A crude cell extract was partiaUy dissociated into fimbriae and an adhesin-enriched fraction by heating to 7O°C. From the latter, adhesin was purified to apparent homogeneity (by fast protein liquid chromatography, immunoblot, and NaDodSO\(_4\)/PAGE) by differential ammonium sulfate precipitation, dissociation in 8 M guanidine hydrochloride, and high-resolution anion-exchange chromatography in 8 M urea. The purified adhesin formed an aggregate of M\(_r\)\(\approx\)10\(^6\) that was made up of one type of 12-kDa polypeptide (fimbrillin is 16.5 kDa). It had pI value of 4.7 (fimbriae has a pI value of 6). Adhesin and fimbrillin had different amino add compositions. The purified adhesins agglutinated human and bovine erythrocytes with the same speclfkity as the whole bacteria; purified fimbriae were not adhesive. Monoclonal anti-adhesin and anti-fimbriae antibodies were obtained. Monoclonal antiadhesin, but none of the anti-fimbriae, antibodies inhibited the agglutination of erythrocytes. The anti-adhesive antibodies were used in immuno-gold electron microscopy to localize adhesin exclusively on the fimbriae, with a possible preference to their tips.
No abstract available
In this paper, we bridge the gap between procedural content generation (PCG) and user-generated content (UGC) by proposing and demonstrating an interactive agent-based model of self-assembling ensembles that can be directed though user input. We motivate these efforts by considering the opportunities technology provides to pursue game designs based on according game design frameworks. We present three different use cases of the proposed model that emphasize its potential to (1) self-assemble into predefined 3D graphical assets, (2) define new structures in the context of virtual environments by self-assembling layers on the surfaces of arbitrary 3D objects, and (3) allow novel structures to self-assemble only considering the model’s configuration and no external dependencies. To address the performance restrictions in computer games, we realized the prototypical model implementation by means of an efficient entity component system (ECS). We conclude the paper with an outlook on future steps to further explore novel interactive, dynamic PCG mechanics and to ensure their efficiency.
5. Würzburger Wirtschaftssymposium, 20.11.2008 Deutsche Erfindungen verändern die Welt - heute wie vor 500 Jahren. Von Buchdruck, über Dieselmotor, Glühbirne bis hin zu Airbag, Aspirin, Dübel, Fernseher und mp3-Format. Alleine dieser bescheidene Überblick des Phänomens “Made in Germany” lässt den Betrachter die Bedeutung und das Potenzial von Innovationen am Standort Deutschland schnell erkennen. Experten aus Wirtschaft, Politik und Gesellschaft setzten sich am 20.11.2008 unter der Leitfrage: “Innovationen – Performancetreiber und nachhaltiger Wirtschaftsmotor in Deutschland?” mit der Bedeutung von Innovationen für den Standort Deutschland auseinander. Die Festschrift rundet - neben Interviews mit und Gastbeiträgen von Referenten der Veranstaltung - das 5. Würzburger Wirtschaftssymposium mit Stellungnahmen und Beiträgen renommierter Experten ab. Zu Wort kommen dabei Jungunternehmer ebenso wie Wissenschaftler der Universität Würzburg und Vertreter externer Organisationen.
Dendritic cells, first described by STEINMAN and COHN in the mouse spleen and now called lymphoid dendritic cells (LDC), were investigated in the rat pancreas with the monoclonal antibodies 29AI-L. T. and MRC-OX17, which both recognize the la-antigen immunohistochemically and immune electron microscopically. la-positive cells with a dendritic morphology were found in the connective tissue of the cxocrine and endocrine pancreas. Immune e1ectron microscopically, the Ia-antibodies were 10- calized on the cell surface and in sm all vesicles. A small portion of the la-positive cells showed additional acid phosphatase positivity, i. e. were la-positive macrophages. The other la-positive cells were probably LDC, which may be important in the elimination of foreign antigens, e. g. bacteria and vIruses.
Modern immersive multimodal technologies enable the learners to completely get immersed in various learning situations in a way that feels like experiencing an authentic learning environment. These environments also allow the collection of multimodal data, which can be used with artificial intelligence to further improve the immersion and learning outcomes. The use of artificial intelligence has been widely explored for the interpretation of multimodal data collected from multiple sensors, thus giving insights to support learners’ performance by providing personalised feedback. In this paper, we present a conceptual approach for creating immersive learning environments, integrated with multi-sensor setup to help learners improve their psychomotor skills in a remote setting.