Charles G. Calder House Rehabilitation Plan

Upon completion and proper drying time of new plaster, sand all walls to an even smooth surface and apply base coat followed by Linen White paint by Benjamin Moore (flat) on all wall surfaces. Ceilings are all to be painted a flat Ceiling White by Benjamin Moore. Woodwork that has been painted in the past (not stained) is all to receive semi-gloss Bright White paint by Benjamin Moore. No less than two coats throughout on all painted surfaces

An electron Talbot interferometer

The Talbot effect, in which a wave imprinted with transverse periodicity reconstructs itself at regular intervals, is a diffraction phenomenon that occurs in many physical systems. Here we present the first observation of the Talbot effect for electron de Broglie waves behind a nanofabricated transmission grating. This was thought to be difficult because of Coulomb interactions between electrons and nanostructure gratings, yet we were able to map out the entire near-field interference pattern, the "Talbot carpet", behind a grating. We did this using a Talbot interferometer, in which Talbot interference fringes from one grating are moire'-filtered by a 2nd grating. This arrangement has served for optical, X-ray, and atom interferometry, but never before for electrons. Talbot interferometers are particularly sensitive to distortions of the incident wavefronts, and to illustrate this we used our Talbot interferometer to measure the wavefront curvature of a weakly focused electron beam. Here we report how this wavefront curvature demagnified the Talbot revivals, and we discuss applications for electron Talbot interferometers.Comment: 5 pages, 5 figures, updated version with abstrac

SOFA: A Multi-Model Framework for Interactive Physical Simulation

International audienceSOFA (Simulation Open Framework Architecture) is an open-source C++ library primarily targeted at interactive computational medical simulation. SOFA facilitates collaborations between specialists from various domains, by decomposing complex simulators into components designed independently and organized in a scenegraph data structure. Each component encapsulates one of the aspects of a simulation, such as the degrees of freedom, the forces and constraints, the differential equations, the main loop algorithms, the linear solvers, the collision detection algorithms or the interaction devices. The simulated objects can be represented using several models, each of them optimized for a different task such as the computation of internal forces, collision detection, haptics or visual display. These models are synchronized during the simulation using a mapping mechanism. CPU and GPU implementations can be transparently combined to exploit the computational power of modern hardware architectures. Thanks to this flexible yet efficient architecture, \sofa{} can be used as a test-bed to compare models and algorithms, or as a basis for the development of complex, high-performance simulators

The role of religion in the longer-range future, April 6, 7, and 8, 2006

This repository item contains a single issue of the Pardee Conference Series, a publication series that began publishing in 2006 by the Boston University Frederick S. Pardee Center for the Study of the Longer-Range Future. This conference that took place during April 6, 7, and 8, 2006. Co-organized by David Fromkin, Director, Frederick S. Pardee Center for the Study of the Longer-Range Future, and Ray L. Hart, Dean ad interim Boston University School of TheologyThe conference brought together some 40 experts from various disciplines to ponder upon the “great dilemma” of how science, religion, and the human future interact. In particular, different panels looked at trends in what is happening to religion around the world, questions about how religion is impacting the current political and economic order, and how the social dynamics unleashed by science and by religion can be reconciled.Carnegie Council on Ethics and International Affair

Determinisation of Finitely-Ambiguous Copyless Cost Register Automata

Cost register automata (CRA) are machines reading an input word while computing values using write-only registers: values from registers are combined using the two operations, as well as the constants, of a semiring. Particularly interesting is the subclass of copyless CRAs where the content of a register cannot be used twice for updating the registers. Originally deterministic, non-deterministic variant of CRA may also be defined: the semantics is then obtained by combining the values of all accepting runs with the additive operation of the semiring (as for weighted automata). We show that finitely-ambiguous copyless non-deterministic CRAs (i.e. the ones that admit a bounded number of accepting runs on every input word) can be effectively transformed into an equivalent copyless (deterministic) CRA, without requiring any specific property on the semiring. As a corollary, this also shows that regular look-ahead can effectively be removed from copyless CRAs

Different data approaches to improving chronic kidney disease treatment and outcomes

Chronic kidney disease (CKD) affects more than 1/10 people worldwide with a disproportionately high burden in disadvantaged communities. As CKD severity increases, the associated morbidity, mortality and treatment costs also increase. In the case of kidney failure, the most severe form of CKD, the costs of treatment, including life prolonging treatment with dialysis or kidney transplant, are often unaffordable in under-resourced healthcare settings. Data has been central to improving the outcomes of patients with CKD, but there continue to be important data gaps, especially in low- and lower-middle-income countries (LLMICs). In order to more comprehensively understand the burden of kidney disease, it is necessary to overcome the many challenges to data collection which exist globally. To explore how this could be achieved, this thesis examines how four different data sources can contribute to addressing gaps in understanding CKD. Firstly, the role of kidney replacement therapy (KRT) registries in LLMICs were assessed through a review of the literature and explored further by implementing a dialysis registry in Fiji. Secondly, extending data collection of a randomised controlled trial to examine how differing practice patterns across regions might impact outcomes was assessed through analysis of the extended follow-up of the Study of Heart and Renal Protection (SHARP). Thirdly, the role of administrative data was explored through a literature review and through two novel data linkage analyses. Lastly, semi-structured interviews were conducted with patients and clinicians to understand their perspectives on remote patient monitoring (RPM), a novel approach to patient data collection for dialysis treatment. The analyses examining the role of focused KRT registries in LLMICs and the utility of long-term follow-up of clinical trials to compare outcomes between regions suggest that whilst useful at describing the burden of disease and treatment, these data sources are unlikely to be central to solving major knowledge gaps due to their cost and complexity. The use of administrative data and data linkage offer an opportunity for efficient data collection in CKD and may represent a cost-effective investment for developing healthcare systems in the future. Novel data capture techniques, such as RPM, may improve CKD data collection, but a thorough understanding of the perspectives of user populations should be considered before their wider implementation

Workplace Safety Concerns among Co-workers of Responder Returning from Ebola-Affected Country

We surveyed public health co-workers regarding attitudes toward a physician who returned to New Hampshire after volunteering in the West African Ebola outbreak. An unexpectedly large (18.0%) proportion of staff expressed discomfort with the Ebola responder returning to work. Employers should take proactive steps to address employee fears and concerns

Bio-Driven Cell Region Detection in Human Embryonic Stem Cell Assay

This paper proposes a bio-driven algorithm that detects cell regions automatically in the human embryonic stem cell (hESC) images obtained using a phase contrast microscope. The algorithm uses both statistical intensity distributions of foreground/hESCs and background/substrate as well as cell property for cell region detection. The intensity distributions of foreground/hESCs and background/substrate are modeled as a mixture of two Gaussians. The cell property is translated into local spatial information. The algorithm is optimized by parameters of the modeled distributions and cell regions evolve with the local cell property. The paper validates the method with various videos acquired using different microscope objectives. In comparison with the state-of-the-art methods, the proposed method is able to detect the entire cell region instead of fragmented cell regions. It also yields high marks on measures such as Jacard similarity, Dice coefficient, sensitivity and specificity. Automated detection by the proposed method has the potential to enable fast quantifiable analysis of hESCs using large data sets which are needed to understand dynamic cell behaviors