21 resultados para Lehtinen, Lasse
Resumo:
Lange war man im Westen davon überzeugt gewesen, dass zwischen Religion, Gesellschaft und Staat in der Epoche der europäischen Aufklärung ein Einverständnis gefunden worden ist. Diese Sicherheit ist in den vergangenen Jahrzehnten ins Wanken geraten. Im Namen ‘des’ Islam werden Terroranschläge verübt und Kriege geführt. Von vielen Menschen wird ‘der’ Islam als eine Religion wahrgenommen, die nicht zwischen Religion und Zivilgesellschaft unterscheidet und den Friedenszustand gefährdet. Doch gibt es überhaupt ‘den’ Islam oder ‘den’ Koran? Der Islam wird oft in einer problematischen Vereinfachung auf den Koran und den Propheten Muḥammad reduziert. Daraus wird dann der Kurzschluss gezogen, der Islam lasse sich aus diesem Ursprung heraus definieren. Gegen dieses ahistorische Ursprungsdenken und die damit einhergehenden Stereotypen zu ‘dem’ Islam und ‘dem’ Koran bring Reinhard Schulze die Geschichte in Anschlag. Er verfolgt in seiner gelehrten und analytisch präzisen Studie die Geschichte der Entstehung der Schrift Koran über deren sprachliche Verfasstheit (das Arabische) und Intertexte; betrachtet die Offenbarung an Muḥammad aus historischer Perspektive und reflektiert – nicht zuletzt – über die Voraussetzungen und unhinterfragten Prämissen des wissenschaftlichen Diskurses über den Islam – so etwa im Orientalismus des 19. Jahrhunderts, in der Rede von der Religion als anthropologischer Konstante oder neurobiologischer ‘Programmierung’.
Resumo:
Topical photodynamic therapy (PDT) is a widely approved therapy for actinic keratoses, squamous cell carcinoma in-situ, superficial and certain thin basal cell carcinomas. Recurrence rates are typically equivalent to existing therapies, although inferior to surgery for nodular basal cell carcinoma. PDT can be used both as a lesional or as a field therapy and has the potential to delay/reduce the development of new lesions. PDT has also been studied for its place in the treatment of, as well as its potential to prevent, superficial skin cancers in immune-suppressed patients, although sustained clearance rates are lower than for immunocompetent individuals. Many additional indications have been evaluated, including photo-rejuvenation and inflammatory and infective dermatoses. This S2 guideline considers all current and emerging indications for the use of topical photodynamic therapy in Dermatology, prepared by the PDT subgroup of the European Dermatology Forum guidelines committee. It presents consensual expert recommendations reflecting current published evidence. An unabridged version of this guideline is available online at: http://www.euroderm.org/edf/index.php/edf-guidelines.
Resumo:
Since the discovery of the JAK2 V617F mutation in the majority of the myeloproliferative neoplasms (MPN) of polycythemia vera, essential thrombocythemia and primary myelofibrosis ten years ago, further MPN-specific mutational events, notably in JAK2 exon 12, MPL exon 10 and CALR exon 9 have been identified. These discoveries have been rapidly incorporated into evolving molecular diagnostic algorithms. Whilst many of these mutations appear to have prognostic implications, establishing MPN diagnosis is of immediate clinical importance with selection, implementation and the continual evaluation of the appropriate laboratory methodology to achieve this diagnosis similarly vital. The advantages and limitations of these approaches in identifying and quantitating the common MPN-associated mutations are considered herein with particular regard to their clinical utility. The evolution of molecular diagnostic applications and platforms has occurred in parallel with the discovery of MPN-associated mutations, and it therefore appears likely that emerging technologies such as next-generation sequencing and digital PCR will in the future play an increasing role in the molecular diagnosis of MPN. Accepted for publication 30 April 2015 doi:10.1111/ejh.12578
Resumo:
We introduce gradient-domain rendering for Monte Carlo image synthesis.While previous gradient-domain Metropolis Light Transport sought to distribute more samples in areas of high gradients, we show, in contrast, that estimating image gradients is also possible using standard (non-Metropolis) Monte Carlo algorithms, and furthermore, that even without changing the sample distribution, this often leads to significant error reduction. This broadens the applicability of gradient rendering considerably. To gain insight into the conditions under which gradient-domain sampling is beneficial, we present a frequency analysis that compares Monte Carlo sampling of gradients followed by Poisson reconstruction to traditional Monte Carlo sampling. Finally, we describe Gradient-Domain Path Tracing (G-PT), a relatively simple modification of the standard path tracing algorithm that can yield far superior results.
Resumo:
Monte Carlo integration is firmly established as the basis for most practical realistic image synthesis algorithms because of its flexibility and generality. However, the visual quality of rendered images often suffers from estimator variance, which appears as visually distracting noise. Adaptive sampling and reconstruction algorithms reduce variance by controlling the sampling density and aggregating samples in a reconstruction step, possibly over large image regions. In this paper we survey recent advances in this area. We distinguish between “a priori” methods that analyze the light transport equations and derive sampling rates and reconstruction filters from this analysis, and “a posteriori” methods that apply statistical techniques to sets of samples to drive the adaptive sampling and reconstruction process. They typically estimate the errors of several reconstruction filters, and select the best filter locally to minimize error. We discuss advantages and disadvantages of recent state-of-the-art techniques, and provide visual and quantitative comparisons. Some of these techniques are proving useful in real-world applications, and we aim to provide an overview for practitioners and researchers to assess these approaches. In addition, we discuss directions for potential further improvements.
Resumo:
Gradient-domain path tracing has recently been introduced as an efficient realistic image synthesis algorithm. This paper introduces a bidirectional gradient-domain sampler that outperforms traditional bidirectional path tracing often by a factor of two to five in terms of squared error at equal render time. It also improves over unidirectional gradient-domain path tracing in challenging visibility conditions, similarly as conventional bidirectional path tracing improves over its unidirectional counterpart. Our algorithm leverages a novel multiple importance sampling technique and an efficient implementation of a high-quality shift mapping suitable for bidirectional path tracing. We demonstrate the versatility of our approach in several challenging light transport scenarios.