Stroke recovery and lesion reduction following acute isolated bilateral ischaemic pontine infarction : a case report

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Acknowledgements The initial scan was offered as part of the standard clinical service provided by NHS Grampian and the follow-up scan was funded by a grant from the NHS Grampian Endowments Trust (grant number 12/35). We thank Dr Olive Robb, Dr Arnab Rana, Professor Alison Murray for reporting the imaging scans, Lisa Marshall for providing information regarding the patient’s on-going community physiotherapy input following discharge from Aberdeen Royal Infirmary, Gordon Buchan for his technical support during scanning, the research radiographers (Baljit Jagpal, Beverly Maclennan, Nichola Crouch and Katrina Klaasen), the Aberdeen Biomedical Imaging Centre staff especially Teresa Morris and Dawn Younie for coordinating the scanning appointments, the stroke research nurses (Anu Joyson, Heather Gow and Janice Irvine) and above all the patient for agreeing to take part in this case study.Peer reviewedPublisher PD

Jade: Learning the Problem Domain through Collaborative Modeling

Software development depends on the ability of analysts to obtain knowledge from domain experts and learn the problem domain. Traditional methods for eliciting information do not fulfill the needs of analysts. In this paper, we describe Jade, a collaborative application to assist on the development of object oriented software. Adopting Jade, analysts may shift the task of modeling to domain experts. Hence, they can focus on learning the domain as the domain experts create and test the model

Direct probing of the Mott crossover in the SU(NN) Fermi-Hubbard model

The Fermi-Hubbard model (FHM) is a cornerstone of modern condensed matter theory. Developed for interacting electrons in solids, which typically exhibit SU($2$) symmetry, it describes a wide range of phenomena, such as metal to insulator transitions and magnetic order. Its generalized SU($N$)-symmetric form, originally applied to multi-orbital materials such as transition-metal oxides, has recently attracted much interest owing to the availability of ultracold SU($N$)-symmetric atomic gases. Here we report on a detailed experimental investigation of the SU($N$)-symmetric FHM using local probing of an atomic gas of ytterbium in an optical lattice to determine the equation of state through different interaction regimes. We prepare a low-temperature SU($N$)-symmetric Mott insulator and characterize the Mott crossover, representing important steps towards probing predicted novel SU($N$)-magnetic phases

Groupoid symmetry and constraints in general relativity

When the vacuum Einstein equations are cast in the form of hamiltonian evolution equations, the initial data lie in the cotangent bundle of the manifold M\Sigma\ of riemannian metrics on a Cauchy hypersurface \Sigma. As in every lagrangian field theory with symmetries, the initial data must satisfy constraints. But, unlike those of gauge theories, the constraints of general relativity do not arise as momenta of any hamiltonian group action. In this paper, we show that the bracket relations among the constraints of general relativity are identical to the bracket relations in the Lie algebroid of a groupoid consisting of diffeomorphisms between space-like hypersurfaces in spacetimes. A direct connection is still missing between the constraints themselves, whose definition is closely related to the Einstein equations, and our groupoid, in which the Einstein equations play no role at all. We discuss some of the difficulties involved in making such a connection.Comment: 22 pages, major revisio

L'Evolució dels espais i de les metodologies d'aprenentatge a l'ETSAV

L'arquitectura, l'aprenentatge i l'espai reunits en un mateix punt de vista, el meu, per analitzar com funciona el sistema en el qual he après arquitectura, l'ETSAV, des de l'experiència i les vivències en els diferents espais d'aprenentatge per tractar d'intuir com continuarà evolucionant l'aprenentatge dels futurs arquitectes.La arquitectura, el aprendizaje i el espacio reunidos en un mismo punto de vista, el mío, para analizar como funciona el sistema en el que he aprendido arquitectura, la ETSAV, desde la experiencia y las vivencias en los diferentes espacios de aprendizaje para tratar de intuir como continuará evolucionando el aprendizaje de los futuros arquitectos.Architecture, learning and space come together in the same point of view, mine, to analyze how the system in which I have learned architecture works, the ETSAV, from the experience in the different learning spaces to try to deduce how the learning of future architects will continue to evolve

Evaluating the practicability of commercial food-scanners for non-destructive quality assessment of tomato fruit

The assessment  of  tomato  fruit  quality  depends  on  a  variety  of  extrinsic and intrinsic quality parameters such as color, firmness and sugar content. Conventional measurement methods of these quality parameters  are  time  consuming,  require  various  measurement  de-vices,  and  in  case  of  intrinsic  quality,  involve  destructive  measurements. Latest research focused on the non-destructive determination of these parameters by using spectroscopic measurements. The goal of  this  study  was  to  evaluate  the  capability  of  three  commercially  available  portable  and  miniaturized  VIS /NIR spectrometers, so called food-scanners, in predicting various tomato quality attributes in a non-destructive way. Additionally, this study evaluated the software provided by manufacturers for building of prediction models by comparing the results derived from those software tools to state-of-the-art software for multivariate analysis. Evaluation of food-scanner spectra resulted in prediction models of high accuracy (r² > 0.90) for tomato fruit firmness, dry matter, total soluble solids and color values L*, a* and h°. Prediction models computed with manufacturer’s soft-ware showed similar accuracy to those derived from state-of-the-art evaluation software. Results of this study illustrate the great potential of  commercial  food-scanners  for  non-destructive  quality  measurement.  Further  important  features  of  food-scanners  with  respect  to  the application along the fresh produce supply chain are addressed

High-Performance Integrated Window and Façade Solutions for California

The researchers developed a new generation of high-performance façade systems and supporting design and management tools to support industry in meeting California’s greenhouse gas reduction targets, reduce energy consumption, and enable an adaptable response to minimize real-time demands on the electricity grid. The project resulted in five outcomes: (1) The research team developed an R-5, 1-inch thick, triplepane, insulating glass unit with a novel low-conductance aluminum frame. This technology can help significantly reduce residential cooling and heating loads, particularly during the evening. (2) The team developed a prototype of a windowintegrated local ventilation and energy recovery device that provides clean, dry fresh air through the façade with minimal energy requirements. (3) A daylight-redirecting louver system was prototyped to redirect sunlight 15–40 feet from the window. Simulations estimated that lighting energy use could be reduced by 35–54 percent without glare. (4) A control system incorporating physics-based equations and a mathematical solver was prototyped and field tested to demonstrate feasibility. Simulations estimated that total electricity costs could be reduced by 9-28 percent on sunny summer days through adaptive control of operable shading and daylighting components and the thermostat compared to state-of-the-art automatic façade controls in commercial building perimeter zones. (5) Supporting models and tools needed by industry for technology R&D and market transformation activities were validated. Attaining California’s clean energy goals require making a fundamental shift from today’s ad-hoc assemblages of static components to turnkey, intelligent, responsive, integrated building façade systems. These systems offered significant reductions in energy use, peak demand, and operating cost in California