Perceptions about Cognitive Enhancement Therapy among Regional Mental Health Providers: a Mixed Methods Analysis

Cognitive Enhancement Therapy (CET) is a program, developed at the University of Pittsburgh, to improve cognitive deficits experienced by people diagnosed with schizophrenia. Since its implementation in various settings, CET has demonstrated positive outcomes for patients in many cognitive domains. This study took a mixed methods approach to assess the interest and knowledge of mental health providers at a regional level and a local mental health facility in particular, about beginning a CET program. The quantitative study obtained data from evaluations administered during two CET training events at a local mental health facility. Digitally recorded qualitative interviews were conducted with providers and administrative staff members of a local mental health facility who attended the trainings. Qualitative data was assessed using thematic analysis of the transcribed interviews. Findings indicate that facilitators to CET implementation include the perception of need for a new therapeutic method to enhance cognition, a non-prescriptive staff desire for new evidence based practice innovations, a positive outlook for patient participation, and a current framework for analogous interventions. Barriers to implementation include the current duration of patient stay vs. the length of CET treatment (program adaptability), the current medical model employed at the local mental health facility, prescriber skepticism, logistical issues, and questions about an expanded evidence base for CET

Effect of Different Media on the Bactericidal Activity of Colistin and on the Synergistic Combination With Azidothymidine Against mcr-1-Positive Colistin-Resistant Escherichia coli

Antimicrobial susceptibility testing (AST) performed according to defined guidelines is important to identify resistance and to predict the clinical success or failure of specific antibiotic therapy. However, these guidelines do not cover all physiological conditions that can have a tremendous impact on in vivo resistance. In this study, we tested the susceptibility of thirteen mcr-1-positive Escherichia coli strains against colistin, one of the last resort antibiotics for treating multi-drug resistant pathogens, in media recommended for ASTs as well as – physiologically more relevant – in human serum and artificial urine (AU). Minimal inhibitory concentration (MIC) values in heat-inactivated human serum were similar to those in cation-adjusted Mueller-Hinton broth (CAMHB), but reduced in native serum for almost all strains that could grow in this media. In AU MIC values for mcr-1 positive E. coli were increased significantly up to 16-fold compared to that in CAMBH, which did not apply to the colistin-susceptible E. coli strains tested. Although different growth media could affect the MIC of colistin alone, their impact on the synergistic effect of the combination with the antiviral drug azidothymidine was minimal. The higher divalent cation concentration combined with acidic pH values is most likely responsible for the increased MIC values of the mcr-1 harboring E. coli strains tested against colistin in AU compared to that in CAMHB. Antimicrobial susceptibility screening procedures for colistin using CAMHB only could lead to an underestimation of resistance under different physiological conditions. Therefore, not only pharmacokinetic but also pharmacodynamic studies in urine are as important as in serum or plasma

International Market Growth on Black Friday

Black Friday in United States of America is the day when country’s most shops offer buyers huge discounts on their products. The Black Friday in America, which always happens on the day following Thanksgiving holiday, date celebrated in the US and this year, will be on 28 November. For global online shoppers, this is a great opportunity to buy cheap in major online stores of the country. As for the retailers, the action is the great chance to clear inventory to receive the products for Christmas sales (Soule, 2013)

Robust Multi-Image HDR Reconstruction for the Modulo Camera

Photographing scenes with high dynamic range (HDR) poses great challenges to consumer cameras with their limited sensor bit depth. To address this, Zhao et al. recently proposed a novel sensor concept - the modulo camera - which captures the least significant bits of the recorded scene instead of going into saturation. Similar to conventional pipelines, HDR images can be reconstructed from multiple exposures, but significantly fewer images are needed than with a typical saturating sensor. While the concept is appealing, we show that the original reconstruction approach assumes noise-free measurements and quickly breaks down otherwise. To address this, we propose a novel reconstruction algorithm that is robust to image noise and produces significantly fewer artifacts. We theoretically analyze correctness as well as limitations, and show that our approach significantly outperforms the baseline on real data.Comment: to appear at the 39th German Conference on Pattern Recognition (GCPR) 201

Sea ice biogeochemistry and material transport across the frozen interface

Author Posting. © Oceanography Society, 2011. This article is posted here by permission of Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 24 no. 3 (2011): 202–218, doi:10.5670/oceanog.2011.72.The porous nature of sea ice not only provides a habitat for ice algae but also opens a pathway for exchanges of organic matter, nutrients, and gases with the seawater below and the atmosphere above. These constituents permeate the ice cover through air-ice gas exchange, brine drainage, seawater entrainment into the ice, and air-sea gas exchange within leads and polynyas. The central goal in sea ice biogeochemistry since the 1980s has been to discover the physical, biological, and chemical rates and pathways by which sea ice affects the distribution and storage of biogenic gases (namely CO2, O2, and dimethyl sulfide) between the ocean and the atmosphere. Historically, sea ice held the fascination of scientists for its role in the ocean heat budget, and the resulting view of sea ice as a barrier to heat and mass transport became its canonical representation. However, the recognition that sea ice contains a vibrant community of ice-tolerant organisms and strategic reserves of carbon has brought forward a more nuanced view of the "barrier" as an active participant in polar biogeochemical cycles. In this context, the organisms and their habitat of brine and salt crystals drive material fluxes into and out of the ice, regulated by liquid and gas permeability. Today, scientists who study sea ice are acutely focused on determining the flux pathways of inorganic carbon, particulate organics, climate-active gases, excess carbonate alkalinity, and ultimately, the role of all of these constituents in the climate system. Thomas and Dieckmann (2010) recently reviewed sea ice biogeochemistry, and so we do not attempt a comprehensive review here. Instead, our goal is to provide a historical perspective, along with some recent discoveries and observations to highlight the most outstanding questions and possibly useful avenues for future research

Serum bactericidal activity of colistin and azidothymidine combinations against mcr-1 positive colistin-resistant Escherichia coli.

To examine the serum bactericidal activity of colistin-sulphate (CS) and azidothymidine (AZT) combinations, time-kill curves were performed in native and heat-inactivated human serum with five colistin-resistant and four colistin-susceptible Gram-negative strains. The serum samples were spiked according to the median and minimum plasma peak concentrations measured in a phase 1 clinical study, in which seven healthy subjects received 3-times (q12) 1h-IV-infusions of 4, 2 and 2 million international units (MIU) colistin-methanesulfonate (CMS) co-administered with 200, 100 and 100 mg AZT, respectively. This trial was performed to assess the pharmacokinetics and safety of CMS/AZT-combination therapy. Minimal bactericidal concentrations of CS in native, but not heat-inactivated serum, were strongly reduced compared to Mueller-Hinton-Broth for all tested Enterobacteriaceae, except one colistin-resistant (serum-resistant) strain. For colistin-susceptible strains, the minimum CS concentration after 2 MIU CMS dosage was already bactericidal in native and heat-inactivated serum. Median, but not minimum, CS concentrations after 2 MIU CMS dosage were sufficient to kill the serum-resistant, colistin-resistant E.coli strain in native serum. In heat-inactivated serum, even the median CS concentration after 2 MIU CMS dosage was not bactericidal for all colistin-resistant strains. In general, combinations with AZT accelerated killing of colistin-resistant E.coli or showed bactericidal activity even if the substances alone were not bactericidal. Thus, the combination with AZT potentiates the bactericidal effect of colistin against colistin-resistant E.coli strains. Although the dosage of 2 MIU CMS plus AZT may be sufficient to treat infections with colistin-susceptible strains, for infections caused by colistin-resistant E.coli the dosing should be further optimized

TB191: Conservation and Management of Native Bees in Cranberry

Threats to agriculturally important pollinators have serious implications for human beings. A loss of bees translates to less successful crop pollination, thus reduced yield and poorer quality fruits. Native bees have the potential to serve as commercial pollinators. A diverse pollinator complex comprised of both honey bees and native bees should result in stable pollination levels and should be resistant to threats such as disease, fluctuating honey and crop prices, and honey bee transportation costs. Adding the goal of native bee conservation to land management increases the ecological integrity of an ecosystem by conserving a unique biological interaction that is the basis for most native wild plant reproduction. This report describes pollination in the cranberry agroecosystem and outlines steps to take to manage native bees in cranberry.https://digitalcommons.library.umaine.edu/aes_techbulletin/1017/thumbnail.jp

Consumers’ reactions to nutrition and ingredient labelling for wine – A cross-country discrete choice experiment

The purpose of this study is to examine consumers' reactions to the introduction of nutrition and ingredient labelling for wine, a product that is so far still exempt from mandatory nutrition and ingredient labelling. It also analyses the effect of positive and negative information about the use of ingredients in wine on consumers' choice. Representative samples for wine consumers from three distinctly different countries representing old and new wine markets (Australia, n = 745; Germany, n = 716; Italy, n = 715) completed a discrete choice experiment (DCE) with graphically simulated wine back labels. For each country, respondents were randomly allocated to a reference group and two different treatment conditions where they received newspaper-like information (positive, negative) before making choices. Results for the reference condition show that consumers across all three countries have a significant positive utility for detailed nutrition information. Instead, ingredient information only receives a positive utility in Italy, whereas German and Australian respondents do not receive utility from ingredient labelling. When consumers in the treatment group are confronted with negative media information the attribute importance of ingredients significantly increases across all three countries, clean labelled products without ingredients are preferred, and a significantly higher share of consumers in Germany and Italy prefer not to buy any wine. The treatment effect of positive media information on consumers’ wine choice is lower than that of negative information. The results of the study have implications for the pending new regulation of wine labelling and for communication strategies of the wine industry that should actively inform consumers about the necessity of ingredients in wine production

Coarse-Graining with Equivariant Neural Networks: A Path Towards Accurate and Data-Efficient Models

Machine learning has recently entered into the mainstream of coarse-grained (CG) molecular modeling and simulation. While a variety of methods for incorporating deep learning into these models exist, many of them involve training neural networks to act directly as the CG force field. This has several benefits, the most significant of which is accuracy. Neural networks can inherently incorporate multi-body effects during the calculation of CG forces, and a well-trained neural network force field outperforms pairwise basis sets generated from essentially any methodology. However, this comes at a significant cost. First, these models are typically slower than pairwise force fields even when accounting for specialized hardware which accelerates the training and integration of such networks. The second, and the focus of this paper, is the need for the considerable amount of data needed to train such force fields. It is common to use tens of microseconds of molecular dynamics data to train a single CG model, which approaches the point of eliminating the CG models usefulness in the first place. As we investigate in this work, it is apparent that this data-hunger trap from neural networks for predicting molecular energies and forces is caused in large part by the difficulty in learning force equivariance, i.e., the fact that force vectors should rotate while maintaining their magnitude in response to an equivalent rotation of the system. We demonstrate that for CG water, networks that inherently incorporate this equivariance into their embedding can produce functional models using datasets as small as a single frame of reference data, which networks without inherent symmetry equivariance cannot