Moving Collage or «Image-temps» in Instrumental Exploration of New Modes for Analyzing, Interpreting and Conceiving Urban Spaces

Banal space, as lived and perceived, carries the trace of time and bears the mutations that time unavoidably breeds. We are unable to perceive space in a perfectly immobile state. Everything moves: our eyes, our bodies, we in the machines that move us about, among other bodies, other machines and the natural elements that surround us. Every environment is perceived in a temporal flux – banal space is a four-dimensional space. Traditionally, architectural space is apprehended in three dimensions. It is an idealized space expressed through virtual representation. Banal space as experienced in time is difficult to master – it unfolds before us in an infinite number of unpredictable shapes and configurations and the architect, as projector and constructor, has but little control.. Ever since the beginning of cinema, moving pictures have burst into the realm of architectural thought. Architects' interest in cinema is expressed by numerous explorations conducted by modern avant-gardes, particularly in those works of the Bauhaus. Vision in Motion, written by László Moholy-Nagy, broadly disseminated these ideas in post-war architectural education. It took however nearly a century before animation was adopted into architectural representation as a common instrument to think, analyse, conceive and create space. Everything seemed to evolve significantly with the increasing flexibility of digital tools, however in the process, something had been lost. The space-time generated by 3D software programs commonly used by architects had neither the quality nor richness of initial explorations with conventional film. This long trajectory of architectural representation from static to moving image involves perhaps another component that embodies obstacles of a nature other than technical

Contact prediction in protein modeling: Scoring, folding and refinement of coarse-grained models

<p>Abstract</p> <p>Background</p> <p>Several different methods for contact prediction succeeded within the Sixth Critical Assessment of Techniques for Protein Structure Prediction (CASP6). The most relevant were non-local contact predictions for targets from the most difficult categories: fold recognition-analogy and new fold. Such contacts could provide valuable structural information in case a template structure cannot be found in the PDB.</p> <p>Results</p> <p>We described comprehensive tests of the effectiveness of contact data in various aspects of de novo modeling with CABS, an algorithm which was used successfully in CASP6 by the Kolinski-Bujnicki group. We used the predicted contacts in a simple scoring function for the post-simulation ranking of protein models and as a soft bias in the folding simulations and in the fold-refinement procedure. The latter approach turned out to be the most successful. The CABS force field used in the Replica Exchange Monte Carlo simulations cooperated with the true contacts and discriminated the false ones, which resulted in an improvement of the majority of Kolinski-Bujnicki's protein models. In the modeling we tested different sets of predicted contact data submitted to the CASP6 server. According to our results, the best performing were the contacts with the accuracy balanced with the coverage, obtained either from the best two predictors only or by a consensus from as many predictors as possible.</p> <p>Conclusion</p> <p>Our tests have shown that theoretically predicted contacts can be very beneficial for protein structure prediction. Depending on the protein modeling method, a contact data set applied should be prepared with differently balanced coverage and accuracy of predicted contacts. Namely, high coverage of contact data is important for the model ranking and high accuracy for the folding simulations.</p

Regresar de Irán

Entender los factores que repercuten en la decisión de los refugiados sobre su retorno y en la capacidad de las personas para reintegrarse tras ello resulta de vital importancia a la hora de planificar programas previos y posteriores al retorno para los refugiados afganos en Irán

Advanced ankylosing spondylitis diagnosed after infection of the digestive tract — case report

Inflammatory spondyloarthrophaties (SpA) are a group of diseases with a close aetiology and clinical course. Infections , especially bacterial, of the digestive tract are possible causes of SpA. Infectious pathogens may penetrate the mucous membrane of the gastrointestinal tract, of the urogenital tracts, respiratory tract and induce the reactive arthritis or exacerbate the previously diagnosed, chronic SpA. Dysbiosis also plays an important role in the pathogenesis of SpA. In the report, authors presented a case of a patient with a long-time backbone pain, in whom Yersinia enterocolitica infection of the digestive tract preceded the peripheral arthritis and inflammatory pain of the spine. The radiological images showed the characteristic changes of the advanced ankylosing spondylitis

A Simple Model of Bertrand Duopoly with Noisy Prices

We examine a market in which consumers are forced to rely on noisy price signals to select between homogeneous products. The noise originates either from firms' price obfuscation or consumers' bounded information processing capabilities. Standard models and empirical experiments of markets with noise or price obfuscation show that it leads to higher prices detrimental to consumers' welfare. This paper identifies conditions under which an opposite result can be expected. In particular, it shows that a moderate level of noise is beneficial to consumers in a market with a cost leader

Cortisol levels and neuropsychiatric diagnosis as markers of postoperative delirium: a prospective cohort study

Polish Ministry of Science and Higher Education, Grant No. 0174/P01/2010/70; 504-06-011

A Simple Model of Bertrand Duopoly with Noisy Prices

We examine a market in which consumers are forced to rely on noisy price signals to select between homogeneous products. The noise originates either from firms' price obfuscation or consumers' bounded information processing capabilities. Standard models and empirical experiments of markets with noise or price obfuscation show that it leads to higher prices detrimental to consumers' welfare. This paper identifies conditions under which an opposite result can be expected. In particular, it shows that a moderate level of noise is beneficial to consumers in a market with a cost leader