57 research outputs found

    Boston Hospitality Review: Spring 2014

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    Going to School on University Hotels by Matthew Arrants -- The Food Photography Trend: A Discussion of the Popular Trend and Tips on Taking Great Pictures by Laurel Greenfield -- Back to the Front: Improving Guest Experiences at The Langham, Hong Kong by Michael Oshins -- The Healthy Hotel by John D. Murtha -- Southern New England’s Middle-Skill Gap: Dilemma for the Hospitality Industry by Erinn D. Tucke

    Boston Hospitality Review: Summer 2013

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    Hospitality Management: Perspectives from Industry Advisors by Rachel Roginsky and Matthew Arrants -- Te Four ‘Ps’ of Hospitality Recruiting by John D. Murtha -- Te Morris Nathanson Design Collection by Christopher Muller -- Still Searching for Excellence by Bradford Hudso

    Boston Hospitality Review: Winter 2017

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    Table of contents: Family, Team or Something Else? by John Murtha -- Kitchen Organization in Full-Service Restaurants: Reducing Heat and Stress by Peter Szende and Justin Cipriano -- Rules of Engagement: Building Brand Relationships by Alex Friedman -- Corporate Social Responsibility in the Hospitality Sector by Manisha Singal and Yinyoung Rhou -- “Hold on, I have to post this on Instagram”: Trends, Talk, and Transactions of the Experiential Consumer by Steve Kent -- C-corporation Hotels vs. Hotel-REITs: A Theoretical and Practical Comparison by Tarik Dogru -- Sisters in Restaurant Success: A History of The Maramor by Jan WhitakerFamily, Team or Something Else? by John Murtha -- Kitchen Organization in Full-Service Restaurants: Reducing Heat and Stress by Peter Szende and Justin Cipriano -- Rules of Engagement: Building Brand Relationships by Alex Friedman -- Corporate Social Responsibility in the Hospitality Sector by Manisha Singal and Yinyoung Rhou -- “Hold on, I have to post this on Instagram”: Trends, Talk, and Transactions of the Experiential Consumer by Steve Kent -- C-corporation Hotels vs. Hotel-REITs: A Theoretical and Practical Comparison by Tarik Dogru -- Sisters in Restaurant Success: A History of The Maramor by Jan Whitake

    Boston Hospitality Review: Winter 2013

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    Lodging Update: Portland, Maine by Rachel Roginsky and Matthew Arrants -- From Boston to the Balkans: Olmsted’s Emerald Legacy by Christina Luke -- An Important Arrival: Te Anatomy of a Vintage Advertisement by Bradford Hudson -- The Historical Origins of Business Statistics and a Current Application in Lodging Forecasting by Barry A.N. Bloom -- Building Hotel Revenues through Tourism by John D. Murtha -- Revisiting the Glass Ceiling: Career Progression for Women in the Hotel Industry by Zoe H

    FlywheelTools: Data Curation and Manipulation on the Flywheel Platform

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    The recent and growing focus on reproducibility in neuroimaging studies has led many major academic centers to use cloud-based imaging databases for storing, analyzing, and sharing complex imaging data. Flywheel is one such database platform that offers easily accessible, large-scale data management, along with a framework for reproducible analyses through containerized pipelines. The Brain Imaging Data Structure (BIDS) is the de facto standard for neuroimaging data, but curating neuroimaging data into BIDS can be a challenging and time-consuming task. In particular, standard solutions for BIDS curation are limited on Flywheel. To address these challenges, we developed “FlywheelTools,” a software toolbox for reproducible data curation and manipulation on Flywheel. FlywheelTools includes two elements: fw-heudiconv, for heuristic-driven curation of data into BIDS, and flaudit, which audits and inventories projects on Flywheel. Together, these tools accelerate reproducible neuroscience research on the widely used Flywheel platform

    Multiple Recurrent De Novo CNVs, Including Duplications of the 7q11.23 Williams Syndrome Region, Are Strongly Associated with Autism

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    SummaryWe have undertaken a genome-wide analysis of rare copy-number variation (CNV) in 1124 autism spectrum disorder (ASD) families, each comprised of a single proband, unaffected parents, and, in most kindreds, an unaffected sibling. We find significant association of ASD with de novo duplications of 7q11.23, where the reciprocal deletion causes Williams-Beuren syndrome, characterized by a highly social personality. We identify rare recurrent de novo CNVs at five additional regions, including 16p13.2 (encompassing genes USP7 and C16orf72) and Cadherin 13, and implement a rigorous approach to evaluating the statistical significance of these observations. Overall, large de novo CNVs, particularly those encompassing multiple genes, confer substantial risks (OR = 5.6; CI = 2.6–12.0, p = 2.4 × 10-7). We estimate there are 130–234 ASD-related CNV regions in the human genome and present compelling evidence, based on cumulative data, for association of rare de novo events at 7q11.23, 15q11.2-13.1, 16p11.2, and Neurexin 1

    Pre-Bilaterian Origins of the Hox Cluster and the Hox Code: Evidence from the Sea Anemone, Nematostella vectensis

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    BACKGROUND: Hox genes were critical to many morphological innovations of bilaterian animals. However, early Hox evolution remains obscure. Phylogenetic, developmental, and genomic analyses on the cnidarian sea anemone Nematostella vectensis challenge recent claims that the Hox code is a bilaterian invention and that no “true” Hox genes exist in the phylum Cnidaria. METHODOLOGY/PRINCIPAL FINDINGS: Phylogenetic analyses of 18 Hox-related genes from Nematostella identify putative Hox1, Hox2, and Hox9+ genes. Statistical comparisons among competing hypotheses bolster these findings, including an explicit consideration of the gene losses implied by alternate topologies. In situ hybridization studies of 20 Hox-related genes reveal that multiple Hox genes are expressed in distinct regions along the primary body axis, supporting the existence of a pre-bilaterian Hox code. Additionally, several Hox genes are expressed in nested domains along the secondary body axis, suggesting a role in “dorsoventral” patterning. CONCLUSIONS/SIGNIFICANCE: A cluster of anterior and posterior Hox genes, as well as ParaHox cluster of genes evolved prior to the cnidarian-bilaterian split. There is evidence to suggest that these clusters were formed from a series of tandem gene duplication events and played a role in patterning both the primary and secondary body axes in a bilaterally symmetrical common ancestor. Cnidarians and bilaterians shared a common ancestor some 570 to 700 million years ago, and as such, are derived from a common body plan. Our work reveals several conserved genetic components that are found in both of these diverse lineages. This finding is consistent with the hypothesis that a set of developmental rules established in the common ancestor of cnidarians and bilaterians is still at work today

    Factors Associated with Revision Surgery after Internal Fixation of Hip Fractures

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    Background: Femoral neck fractures are associated with high rates of revision surgery after management with internal fixation. Using data from the Fixation using Alternative Implants for the Treatment of Hip fractures (FAITH) trial evaluating methods of internal fixation in patients with femoral neck fractures, we investigated associations between baseline and surgical factors and the need for revision surgery to promote healing, relieve pain, treat infection or improve function over 24 months postsurgery. Additionally, we investigated factors associated with (1) hardware removal and (2) implant exchange from cancellous screws (CS) or sliding hip screw (SHS) to total hip arthroplasty, hemiarthroplasty, or another internal fixation device. Methods: We identified 15 potential factors a priori that may be associated with revision surgery, 7 with hardware removal, and 14 with implant exchange. We used multivariable Cox proportional hazards analyses in our investigation. Results: Factors associated with increased risk of revision surgery included: female sex, [hazard ratio (HR) 1.79, 95% confidence interval (CI) 1.25-2.50; P = 0.001], higher body mass index (fo

    ModelArray: An R package for statistical analysis of fixel-wise data

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    ABSTRACT: Diffusion MRI is the dominant non-invasive imaging method used to characterize white matter organization in health and disease. Increasingly, fiber-specific properties within a voxel are analyzed using fixels. While tools for conducting statistical analyses of fixel-wise data exist, currently available tools support only a limited number of statistical models. Here we introduce ModelArray, an R package for mass-univariate statistical analysis of fixel-wise data. At present, ModelArray supports linear models as well as generalized additive models (GAMs), which are particularly useful for studying nonlinear effects in lifespan data. In addition, ModelArray also aims for scalable analysis. With only several lines of code, even large fixel-wise datasets can be analyzed using a standard personal computer. Detailed memory profiling revealed that ModelArray required only limited memory even for large datasets. As an example, we applied ModelArray to fixel-wise data derived from diffusion images acquired as part of the Philadelphia Neurodevelopmental Cohort (n = 938). ModelArray revealed anticipated nonlinear developmental effects in white matter. Moving forward, ModelArray is supported by an open-source software development model that can incorporate additional statistical models and other imaging data types. Taken together, ModelArray provides a flexible and efficient platform for statistical analysis of fixel-wise data
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