希林格利奥酒庄 奥地利布尔根兰

正总体上,希林格利奥酒庄设计将风景、葡萄种植和建筑三种元素融为一体。希林格利奥酒庄位于乔伊斯葡萄园中央,地下空间十分深邃,四周植被茂盛,其特殊的位置显得敏感又有些困难,建筑师需要考虑如何让希林格利奥酒庄风光迷人。在旧有地窖里的走道的基础上,我们特别地利用了地下环境,将展示区的悬挑梁设计成可见的小标记,夜晚月光透过大窗户便会照亮这些小印记。生产大厅上端有8个椎体,这些椎体面朝北,呈对角线排     

Toward a 2D/3D Finite-Element–Based Digital Shadow for the Approximation of Metrologically Inaccessible Dynamic Fields of State Variables during Heavy Plate Rolling

While innovations in metal forming technology are closely linked to material science, automation, and mechatronization in recent decades, nowadays, and in the upcoming years, they are supposed to be driven by digital transformation and virtualization. Motivated by this expectation and the fact that the dynamic, process-relevant thermophysical state variables in plates during rolling are difficult or even impossible to measure, a modularly structured 2D/3D model, integrated into a digital shadow, is built and validated against a metrologically accessible process data. The decisive innovation of the presented modeling strategy is the investigation of the state during longitudinal rolling in the fillet, depending on the width direction. The fillet marks the heavy plate without head and tail crops, developed during longitudinal rolling. Application of the simulation tool reveals significant temperature gradients near the plate surfaces, both horizontally and vertically, but also a region of nearly constant temperature near the core. The development of the fillet cross-section shape, including the emergence of bulges or contractions at the side surfaces, is predicted within the simulation. The digital shadow is scalable and has a parameterized structure so that rolling schedules of different compositions can be simulated.     

Anytime similarity measures for faster alignment

Image alignment refers to finding the best transformation from a fixed reference image to a new image of a scene. This process is often optimizing a similarity measure between images, computed based on the image data. However, in time-critical applications state-of-the-art methods for computing similarity are too slow. Instead of using all the image data to compute similarity, one could use only a subset of pixels to improve the speed, but often this comes at the cost of reduced accuracy. These kinds of tradeoffs between the amount of computation and the accuracy of the result have been addressed in the field of real-time artificial intelligence as deliberation control problems. We propose that the optimization of a similarity measure is a natural application domain for deliberation control using the anytime algorithm framework. In this paper, we present anytime versions for the computation of two common image similarity measures: mean squared difference and mutual information. Off-line, we learn a performance profile specific to each measure, which is then used on-line to select the appropriate amount of pixels to process at each optimization step. When tested against existing techniques, our method achieves comparable quality and robustness with significantly less computation.     

Clinical management of confidentiality: A survey of psychologists in seven states.

Psychologists in seven states were surveyed regarding their management of confidentiality in general and in specific situations that challenge confidentiality. The 188 respondents indicated a high regard for the confidentiality of the psychotherapy relationship and a reluctance to disclose information without the client's consent. In response to only two situations, consulting a colleague and dealing with a potentially dangerous client, were psychologists willing to consider disclosure of information without consent. There was considerable variability in how respondents inform their clients about confidentiality, with half either alluding to or mentioning specific limits of confidentiality from the outset of the psychotherapy relationship and the other half either saying nothing at all or indicating that everything is confidential. Previous experience with breaches of confidentiality appeared to influence psychologists' general approach to informing about confidentiality. In a situation relating to potential dangerousness, theoretical orientation and potential target of harm emerged as important factors in determining information given about confidentiality. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Degradation of yew, ragwort and rhododendron toxins during composting

Recent concerns have been raised that plants such as ragwort (Senecio jacobaea), yew (Taxus baccata) and rhododendron (Rhododendron ponticum) that are toxic to livestock may be included in compost windrows but may not be fully detoxified by the composting process. This study investigates the decomposition during composting of toxic pyrrolizidine alkaloids present in ragwort, taxines (A and B) present in yew, and grayanotoxins (GTX I, II, and III) present in rhododendron during composting. Plant samples were contained within microporous bags either towards the edge or within the centre of a pilot-scale compost heap. They were destructively harvested at regular intervals over 1200 °C cumulative temperature (about three months). Samples were analysed for levels of toxins by liquid chromatography time of flight mass spectrometry (LC-TOF-MS). Pyrrolizidine alkaloids and taxines were shown to degrade completely during the composting process. While GTX I showed significant reductions, concentrations of GTX III remained unchanged after 1200 °C cumulative temperature. However, estimates of exposure to grazing livestock coming into contact with source-segregated green waste compost containing up to 7% rhododendron suggest that GTX III poses no appreciable risk.     

Modification, calibration and verification of the IWA River Water Quality Model to simulate a pilot-scale high rate algal pond

We implemented the IWA River Water Quality Model No. 1 (Reichert et al., 2001. River Water Quality Model No. 1, IWA Scientific & Technical Report No. 12) to simulate water-quality characteristics in two pilot-scale High Rate Algal Ponds. Simulation results were compared with two years' of data from the ponds. The first year's data from one pond were used for model calibration; the remaining data were used for validation. As originally formulated and parameterized, the model consistently yielded summer-time algal biomass concentrations which were too low - with consequent failures in its reproduction of dissolved oxygen, pH and nutrient dynamics. We experimented with various structural/parametric changes to improve the model's performance. The most effective strategy was to greatly increase the respiratory losses suffered by the heterotrophic osmotrophs (thereby giving the algae access to a larger fraction of the incoming dissolved organic carbon and nitrogen). This suggests that CO₂-bubbling alone cannot entirely preclude resource-limitation of algal production. We doubt that our parameterization of heterotrophic osmotrophs is correct and infer that the algae derive a large fraction of their nutrition by direct osmotrophic uptake of dissolved organic matter. This inference is supported by the literature concerning the physiology of the dominant algal species in our ponds.     

Functional Polysaccharide Composite Nanoparticles from Cellulose Acetate and Potential Applications

An in situ technique for preparing composite nanoparticles from hydrophobic cellulose acetate and hydrophilic polysaccharides using nanoprecipitation is presented. This technique allows the nanoparticles’ surface properties to be tuned very specifically. Spherical, narrow‐size‐distributed composite nanoparticles of different size, charge, functionality, and increased stability can be generated by using hydroxyethyl cellulose, carboxymethyl cellulose, low molecular weight chitosan, and amino cellulose. The influence of the pH and hydrophilic polysaccharide content in the particle formation is shown. The pH‐ and ionic strength‐ effective zeta‐potential functions are evidence of the presence of functional polysaccharides at the nanoparticle surface. The in situ technique is compared with the adsorption of hydrophilic polysaccharides onto cellulose acetate nanoparticles in two steps. The great potential of in situ prepared composite nanoparticles in the pharmaceutical industry and bio‐ or food technology, as carriers of hydrophobic substances in aqueous media and for specific surface modifications, e.g., to selectively introduce strong antimicrobial properties, is illustrated.