Junior Recital: Patrick J. Hill, Horn

Kemp Recital Hall Saturday Afternoon March 23, 1996 2:00p.m

Anyone for non-scalarity?

This paper examines the status of scalarity in the analysis of the meaning of the English determiner any. The latter’s position as a prime exemplar of the category of polarity-sensitive items has led it to be generally assumed to have scalar meaning. Scalar effects are absent however from a number of common uses of this word. This suggests that any does not involve scales as part of its core meaning, but produces them as a derived interpretative property. The role of three factors in the derivation of the expressive effect of scalarity is explored: grammatical number, stress and the presence of gradable concepts in the NP. The general conclusions point to the importance of developing a causal semantic analysis in which the contributions of each of the various meaningful components of an utterance to the overall message expressed are carefully distinguished

The signal-to-noise analysis of the Little-Hopfield model revisited

Using the generating functional analysis an exact recursion relation is derived for the time evolution of the effective local field of the fully connected Little-Hopfield model. It is shown that, by leaving out the feedback correlations arising from earlier times in this effective dynamics, one precisely finds the recursion relations usually employed in the signal-to-noise approach. The consequences of this approximation as well as the physics behind it are discussed. In particular, it is pointed out why it is hard to notice the effects, especially for model parameters corresponding to retrieval. Numerical simulations confirm these findings. The signal-to-noise analysis is then extended to include all correlations, making it a full theory for dynamics at the level of the generating functional analysis. The results are applied to the frequently employed extremely diluted (a)symmetric architectures and to sequence processing networks.Comment: 26 pages, 3 figure

The Green House Model of Nursing Home Care in Design and Implementation

OBJECTIVE: To describe the Green House (GH) model of nursing home (NH) care, and examine how GH homes vary from the model, one another, and their founding (or legacy) NH. DATA SOURCES/STUDY SETTING: Data include primary quantitative and qualitative data and secondary quantitative data, derived from 12 GH/legacy NH organizations February 2012-September 2014. STUDY DESIGN: This mixed methods, cross-sectional study used structured interviews to obtain information about presence of, and variation in, GH-relevant structures and processes of care. Qualitative questions explored reasons for variation in model implementation. DATA COLLECTION/EXTRACTION METHODS: Interview data were analyzed using related-sample tests, and qualitative data were iteratively analyzed using a directed content approach. PRINCIPAL FINDINGS: GH homes showed substantial variation in practices to support resident choice and decision making; neither GH nor legacy homes provided complete choice, and all GH homes excluded residents from some key decisions. GH homes were most consistent with the model and one another in elements to create a real home, such as private rooms and baths and open kitchens, and in staff-related elements, such as self-managed work teams and consistent, universal workers. CONCLUSIONS: Although variation in model implementation complicates evaluation, if expansion is to continue, it is essential to examine GH elements and their outcomes

Seeing plants as never before

Authors of the article assert that imaging has long supported our ability to understand the inner life of plants, their development, and response to a dynamic environment. The purpose of this review was to provide the scientific community with an overview of current imaging methods, which rely variously on either nuclear magnetic resonance (NMR), mass spectrometry (MS) or infrared (IR) spectroscopy, and to present some examples of their application in order to illustrate their utility

No imminent quantum supremacy by boson sampling

It is predicted that quantum computers will dramatically outperform their conventional counterparts. However, large-scale universal quantum computers are yet to be built. Boson sampling is a rudimentary quantum algorithm tailored to the platform of photons in linear optics, which has sparked interest as a rapid way to demonstrate this quantum supremacy. Photon statistics are governed by intractable matrix functions known as permanents, which suggests that sampling from the distribution obtained by injecting photons into a linear-optical network could be solved more quickly by a photonic experiment than by a classical computer. The contrast between the apparently awesome challenge faced by any classical sampling algorithm and the apparently near-term experimental resources required for a large boson sampling experiment has raised expectations that quantum supremacy by boson sampling is on the horizon. Here we present classical boson sampling algorithms and theoretical analyses of prospects for scaling boson sampling experiments, showing that near-term quantum supremacy via boson sampling is unlikely. While the largest boson sampling experiments reported so far are with 5 photons, our classical algorithm, based on Metropolised independence sampling (MIS), allowed the boson sampling problem to be solved for 30 photons with standard computing hardware. We argue that the impact of experimental photon losses means that demonstrating quantum supremacy by boson sampling would require a step change in technology.Comment: 25 pages, 9 figures. Comments welcom

Economic evaluation of day hospital versus intensive outpatient mentalization-based treatment alongside a randomized controlled trial with 36-month follow-up

Mentalization-based treatment (MBT) has demonstrated robust effectiveness in the treatment of borderline personality disorder (BPD) in both day hospital (MBT-DH) and intensive outpatient MBT (MBT-IOP) programs. Given the large differences in intensity and associated treatment costs, there is a need for studies comparing their cost-effectiveness. A health economic evaluation of MBT-DH versus MBT-IOP was performed alongside a multicenter randomized controlled trial with a 36-month follow-up. In three mental health-care institutions in the Netherlands, 114 patients were randomly allocated to MBT-DH (n = 70) or MBT-IOP (n = 44) and assessed every 6 months. Societal costs were compared with quality-adjusted life years (QALYs) gained and the number of months in remission over 36 months. The QALY gains over 36 months were 1.96 (SD = 0.58) for MBT-DH and 1.83 (SD = 0.56) for MBT-IOP; the respective number of months in remission were 16.0 (SD = 11.5) and 11.1 (SD = 10.7). Societal costs were €106,038 for MBT-DH and €91,368 for MBT-IOP. The incremental cost for one additional QALY with MBT-DH compared with MBT-IOP was €107,000. The incremental cost for 1 month in remission was almost €3000. Assuming a willingness-to-pay threshold of €50,000 for a QALY, there was a 33% likelihood that MBT-DH is more cost-effective than MBT-IOP in terms of costs per QALY. Although MBT-DH leads to slightly more QALYs and remission months, it is probably not cost-effective when compared with MBT-IOP for BPD patients, as the small additional health benefits in MBT-DH did not outweigh the substantially higher societal costs

The yeast lipin orthologue Pah1p is important for biogenesis of lipid droplets

Article on yeast lipin orthologue Pah1p and its importance for biogenesis of lipid droplets

Natural images from the birthplace of the human eye

Here we introduce a database of calibrated natural images publicly available through an easy-to-use web interface. Using a Nikon D70 digital SLR camera, we acquired about 5000 six-megapixel images of Okavango Delta of Botswana, a tropical savanna habitat similar to where the human eye is thought to have evolved. Some sequences of images were captured unsystematically while following a baboon troop, while others were designed to vary a single parameter such as aperture, object distance, time of day or position on the horizon. Images are available in the raw RGB format and in grayscale. Images are also available in units relevant to the physiology of human cone photoreceptors, where pixel values represent the expected number of photoisomerizations per second for cones sensitive to long (L), medium (M) and short (S) wavelengths. This database is distributed under a Creative Commons Attribution-Noncommercial Unported license to facilitate research in computer vision, psychophysics of perception, and visual neuroscience.Comment: Submitted to PLoS ON