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A novel photoexcitation method for the light-addressable potentiometric sensor (LAPS) realized a higher spatial resolution of chemical imaging. In this method, a modulated light probe, which generates the alternating photocurrent signal, is surrounded by a ring of constant light, which suppresses the lateral diffusion of photocarriers by enhancing recombination. A device simulation verified that a higher spatial resolution could be obtained by adjusting the gap between the modulated and constant light. It was also found that a higher intensity and a longer wavelength of constant light was more effective. However, there exists a tradeoff between the spatial resolution and the amplitude of the photocurrent, and thus, the signal-to-noise ratio. A tilted incidence of constant light was applied, which could achieve even higher resolution with a smaller loss of photocurrent.
The chemical imaging sensor, which is based on the principle of the light-addressable potentiometric sensor (LAPS), is a powerful tool to visualize the spatial distribution of chemical species on the sensor surface. The spatial resolution of this sensor depends on the diffusion of photocarriers excited by a modulated light. In this study, a novel hybrid fiber-optic illumination was developed to enhance the spatial resolution. It consists of a modulated light probe to generate a photocurrent signal and a ring of constant light, which suppresses the lateral diffusion of minority carriers excited by the modulated light. It is demonstrated that the spatial resolution was improved from 92 μm to 68 μm.
Persistent infection with the high-risk Human Papillomavirus type 16 (HPV 16) is the causative event for the development of cervical cancer and other malignant tumors of the anogenital tract and of the head and neck. Despite many attempts to develop therapeutic vaccines no candidate has entered late clinical trials. An interesting approach is a DNA based vaccine encompassing the nucleotide sequence of the E6 and E7 viral oncoproteins. Because both proteins are consistently expressed in HPV infected cells they represent excellent targets for immune therapy. Here we report the development of 8 DNA vaccine candidates consisting of differently rearranged HPV-16 E6 and E7 sequences within one molecule providing all naturally occurring epitopes but supposedly lacking transforming activity. The HPV sequences were fused to the J-domain and the SV40 enhancer in order to increase immune responses. We demonstrate that one out of the 8 vaccine candidates induces very strong cellular E6- and E7- specific cellular immune responses in mice and, as shown in regression experiments, efficiently controls growth of HPV 16 positive syngeneic tumors. This data demonstrates the potential of this vaccine candidate to control persistent HPV 16 infection that may lead to malignant disease. It also suggests that different sequence rearrangements influence the immunogenecity by an as yet unknown mechanism.
Der Embedded Wireless-Report
(2014)
Feldbustechnologie
(2014)
Generation Y
(2014)
Am 1. Oktober 2013 ist das auf drei Jahre angelegte EU-Forschungsprojekt INSYSME – Innovative Systeme für erdbebentaugliche Ausfachungswände aus Ziegelmauerwerk in Stahlbetonrahmentragwerken – gestartet. Unter der Koordination der Universität Padua beteiligen sich 16 Partner aus sechs europäischen Ländern (Deutschland, Griechenland, Italien, Portugal, Rumänien, Türkei). Als deutsche Partner nehmen die Arbeitsgemeinschaft Mauerziegel aus Bonn, die Universität Kassel sowie das Ingenieurbüro SDA-engineering GmbH aus Herzogenrath, teil. Ziel der deutschen Partner ist die Entwicklung von innovativen Ausfachungssystemen aus monolithischem wärmedämmenden Ziegelmauerwerk, mit denen nicht nur eine erhöhte Erdbebensicherheit, sondern auch die sichere Erfüllung der steigenden Anforderungen aus Windbeanspruchungen gewährleistet werden können. Die Forschungsergebnisse sollen vom Partner SDA-engineering GmbH in die bereits seit einigen Jahren verfügbare Softwarelösung MINEA [1] integriert werden. Weitere Informationen stehen auf den Websites des Projektes [2] zur Verfügung. Im vorliegenden Beitrag werden nach einer kurzen thematischen Einführung die Ergebnisse von Tastversuchen an senkrecht zur Ebene belasteten Ausfachungswänden aus Planziegelmauerwerk vorgestellt. Im Anschluss wird das geplante Arbeitsprogramm der deutschen Partner im Projekt INSYSME beschrieben.
Die Erdbeben in Albstadt 1978 (Magnitude 5,7), Roermond 1992 (Magnitude 5,9) oder in Waldkirch 2004 (Magnitude 5,1) haben verdeutlicht, dass die erdbebensichere Auslegung von Mauerwerksbauten auch in Deutschland von großer Bedeutung ist. Bereits im Jahr 1981 wurde die DIN 4149 (1981) “Bauten in deutschen Erdbebengebieten – Lastannahmen, Bemessung und Ausführung üblicher Hochbauten“ eingeführt, in der aber für Mauerwerksbauten nur wenige Anforderungen gestellt wurden. Diese Norm wurde durch den NABau-Arbeitsausschuss “Erdbeben; Sonderfragen“ des Deutschen Instituts für Normung e.V. (DIN) auf Grundlage des Eurocode 8 (2004) vollständig überarbeitet und durch die DIN 4149 (2005) abgelöst, die umfangreiche Regelungen für die seismische Auslegung von Mauerwerksbauten enthält. Mittlerweile liegen die DIN EN 1998-1 (2010) und der Nationale Anhang DIN EN 1998-1/NA (2011) vor, die nach Einarbeitung der Ergebnisse der durchgeführten Anwendungserprobung bauaufsichtlich eingeführt und die DIN 4149 (2005) ersetzen werden. Der folgende Beitrag gibt einen Überblick über die seismische Berechnung und Bemessung von Mauerwerksbauten nach dem europäischen Regelwerk und illustriert deren Anwendung an einem baupraktischen Beispiel.
EU-Projekt INSYSME : innovative Systeme für erdbebentaugliche Ausfachungswände aus Ziegelmauerwerk
(2014)
Molecular-genetic identification of emerged novel invasive pathogens of Asiatic Elm Ulmus pumila L
(2014)
The dwarf elm Ulmus pumila L. (Ulmaceae) is one of indigenous species of flora in Kazakhstan and forms a basis of dendroflora in virtually all settlements of the region. In the past decade, multiple outbreaks of previously unknown diseases of the small-leaved elm have been registered. In our study, by the molecular-genetic analysis it was found that the pathogens responsible for the outbreaks are microfungi belonging to the genus Fusarium – F. solani and F. oxysporum. The nucleotide sequences (ITS regions) isolated from the diseased trees showed very high similarity with the GenBank control numbers EU625403.1 and FJ478128.1 (100.0 and 99.0 % respectively). Oncoming research will focus on the search of natural microbial antagonists of the discovered phytopathogens.
Network theory provides novel concepts that promise an improved characterization of interacting dynamical systems. Within this framework, evolving networks can be considered as being composed of nodes, representing systems, and of time-varying edges, representing interactions between these systems. This approach is highly attractive to further our understanding of the physiological and pathophysiological dynamics in human brain networks. Indeed, there is growing evidence that the epileptic process can be regarded as a large-scale network phenomenon. We here review methodologies for inferring networks from empirical time series and for a characterization of these evolving networks. We summarize recent findings derived from studies that investigate human epileptic brain networks evolving on timescales ranging from few seconds to weeks. We point to possible pitfalls and open issues, and discuss future perspectives.
The scope of this study is the measurement of endotoxin adsorption rate for carbonized rice husk. It showed good adsorption properties for LPS. During the batch experiments, several techniques were used and optimized for improving the material’s adsorption behavior. Also, with the results obtained it was possible to differentiate the materials according to their adsorption capacity and kinetic characteristics.
Background
True date palms (Phoenix dactylifera L.) are impressive trees and have served as an indispensable source of food for mankind in tropical and subtropical countries for centuries. The aim of this study is to differentiate date palm tree varieties by analysing leaflet cross sections with technical/optical methods and artificial neural networks (ANN).
Results
Fluorescence microscopy images of leaflet cross sections have been taken from a set of five date palm tree cultivars (Hewlat al Jouf, Khlas, Nabot Soltan, Shishi, Um Raheem). After features extraction from images, the obtained data have been fed in a multilayer perceptron ANN with backpropagation learning algorithm.
Conclusions
Overall, an accurate result in prediction and differentiation of date palm tree cultivars was achieved with average prediction in tenfold cross-validation is 89.1% and reached 100% in one of the best ANN.