318 research outputs found

    Something Old is new Again: Airline-Airport Consortia and Key Stakeholder Benefits

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    Although consortia in the aviation sector predate deregulation by decades, this type of cooperative agreement, particularly in the airline industry, is experiencing a resurgence of interest from industry participants and academia. Airlines are searching for new innovative ways to reduce costs while airports are searching for private partners to improve terminal facilities and equipment and update services. Passengers, on the other hand, continue to balance price versus performance in their travel experience. This empirical research study finds evidence of positive influences of airline consortia to all key stakeholders; however the majority of benefit appears to be felt by the airlines and the associated airport. It is still unclear how much benefit is passed on to the passenger. Regardless, research results clear a path for a better understanding of the positive results of consortia in this turbulent industry

    On the Biological Foundations of Language: Recent Advances in Language Acquisition, Deterioration, and Neuroscience Begin to Converge

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    In this paper, experimental results on the study of language loss in pro- dromal Alzheimer’s disease (AD) in the elderly are linked to experimen- tal results from the study of language acquisition in the child, via a tran- sitional stage of Mild Cognitive Impairment (MCI). Recent brain imag- ing results from a pilot study comparing prodromal AD and normal ag- ing are reported. Both, behavioral results and their underlying neural underpinnings, identify the source of language deficits in MCI as break- down in syntax–semantics integration. These results are linked to inde- pendent discoveries regarding the ontogeny of language in the child and their neural foundations. It is suggested that these convergent results ad- vance our understanding of the true nature of maturational processes in language, allowing us to reconsider a “regression hypothesis” (e.g., Ribot 1881), wherein later acquisition predicts earliest dissolution

    A web-based normative calculator for the uniform data set (UDS) neuropsychological test battery

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    Introduction: With the recent publication of new criteria for the diagnosis of preclinical Alzheimer's disease (AD), there is a need for neuropsychological tools that take premorbid functioning into account in order to detect subtle cognitive decline. Using demographic adjustments is one method for increasing the sensitivity of commonly used measures. We sought to provide a useful online z-score calculator that yields estimates of percentile ranges and adjusts individual performance based on sex, age and/or education for each of the neuropsychological tests of the National Alzheimer's Coordinating Center Uniform Data Set (NACC, UDS). In addition, we aimed to provide an easily accessible method of creating norms for other clinical researchers for their own, unique data sets. Methods: Data from 3,268 clinically cognitively-normal older UDS subjects from a cohort reported by Weintraub and colleagues (2009) were included. For all neuropsychological tests, z-scores were estimated by subtracting the raw score from the predicted mean and then dividing this difference score by the root mean squared error term (RMSE) for a given linear regression model. Results: For each neuropsychological test, an estimated z-score was calculated for any raw score based on five different models that adjust for the demographic predictors of SEX, AGE and EDUCATION, either concurrently, individually or without covariates. The interactive online calculator allows the entry of a raw score and provides five corresponding estimated z-scores based on predictions from each corresponding linear regression model. The calculator produces percentile ranks and graphical output. Conclusions: An interactive, regression-based, normative score online calculator was created to serve as an additional resource for UDS clinical researchers, especially in guiding interpretation of individual performances that appear to fall in borderline realms and may be of particular utility for operationalizing subtle cognitive impairment present according to the newly proposed criteria for Stage 3 preclinical Alzheimer's disease

    Structure and activity of DmmA, a marine haloalkane dehalogenase

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    DmmA is a haloalkane dehalogenase (HLD) identified and characterized from the metagenomic DNA of a marine microbial consortium. Dehalogenase activity was detected with 1,3‐dibromopropane as substrate, with steady‐state kinetic parameters typical of HLDs ( K m = 0.24 ± 0.05 mM, k cat = 2.4 ± 0.1 s −1 ). The 2.2‐Å crystal structure of DmmA revealed a fold and active site similar to other HLDs, but with a substantially larger active site binding pocket, suggestive of an ability to act on bulky substrates. This enhanced cavity was shown to accept a range of linear and cyclic substrates, suggesting that DmmA will contribute to the expanding industrial applications of HLDs. PDB Code(s): 3U1TPeer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/90241/1/PRO_2009_sm_suppinfo.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/90241/2/2009_ftp.pd

    A Defined and Flexible Pocket Explains Aryl Substrate Promiscuity of the Cahuitamycin Starter Unit–Activating Enzyme CahJ

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    Cahuitamycins are biofilm inhibitors assembled by a convergent nonribosomal peptide synthetase pathway. Previous genetic analysis indicated that a discrete enzyme, CahJ, serves as a gatekeeper for cahuitamycin structural diversification. Here, the CahJ protein was probed structurally and functionally to guide the formation of new analogues by mutasynthetic studies. This analysis enabled the in vivo production of a new cahuitamycin congener through targeted precursor incorporation.Breaking the barrier: Biofilm formation is employed by pathogenic microbes to defend against antibiotic action. This study probes both structurally and functionally CahJ, a key biosynthetic adenylation enzyme involved in generation of the cahuitamycin biofilm inhibitors, and lays a foundation for the development of effective new analogues.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/145379/1/cbic201800233_am.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145379/2/cbic201800233.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/145379/3/cbic201800233-sup-0001-misc_information.pd

    Transtheoretical Model-based multiple behavior intervention for weight management: Effectiveness on a population basis

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    Background: The increasing prevalence of overweight and obesity underscores the need for evidence-based, easily disseminable interventions for weight management that can be delivered on a population basis. The Transtheoretical Model (TTM) offers a promising theoretical framework for multiple behavior weight management interventions. Methods: Overweight or obese adults (BMI 25–39.9; n = 1277) were randomized to no-treatment control or home-based, stage-matched multiple behavior interventions for up to three behaviors related to weight management at 0, 3, 6, and 9 months. All participants were re-assessed at 6, 12, and 24 months. Results: Significant treatment effects were found for healthy eating (47.5% versus 34.3%), exercise (44.90% versus 38.10%), managing emotional distress (49.7% versus 30.30%), and untreated fruit and vegetable intake (48.5% versus 39.0%) progressing to Action/Maintenance at 24 months. The groups differed on weight lost at 24 months. Co-variation of behavior change occurred and was much more pronounced in the treatment group, where individuals progressing to Action/Maintenance for a single behavior were 2.5–5 times more likely to make progress on another behavior. The impact of the multiple behavior intervention was more than three times that of single behavior interventions. Conclusions: This study demonstrates the ability of TTM-based tailored feedback to improve healthy eating, exercise, managing emotional distress, and weight on a population basis. The treatment produced a high level of population impact that future multiple behavior interventions can seek to surpass

    Increased dietary fiber is associated with weight loss among Full Plate Living program participants

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    IntroductionPrior studies have demonstrated that an intake of foods rich in dietary fiber is associated with a favorable impact on health status and body weight. However, the association between fiber intake and weight loss has not been well-studied in employer settings. This research aimed to assess the relationship between dietary fiber and weight loss among individuals participating in the Full Plate Living (FPL) program.MethodsThe 16-week plant-predominant fiber-rich eating program was delivered to 72 employers, primarily in the Southwest U.S., over 3 years (2017–2019). Participants received weekly video lessons, FPL materials, and additional online resources. A retrospective analysis of repeated measures was conducted using participant data obtained from 4,477 participants, of which 2,792 (62.5%) reduced body weight. Analysis of variance with post hoc analysis was used to assess the statistical significance of the changes between baseline and follow-up measures of dietary fiber intake in each of the food categories, specifically the relationship between changes in individual and combined (composite) daily servings of fruits, vegetables, whole grains, beans, and nuts on body weight measures among three groups at follow-up: those who lost, maintained, or gained weight. Multilevel modeling was used to test the hypothesis that increased intake of fiber was associated with greater weight loss.ResultsThe mean weight loss for the weight loss group was 3.28 kg. As compared to the two other groups, the intake of whole fiber-rich foods at follow-up was significantly higher among the weight loss group with fruits (2.45 servings), vegetables (2.99 servings), beans (1.03 servings), and total fiber composites (9.07 servings; P < 0.001). A significant increase in servings of grains was also noted (P < 0.05). Multilevel modeling demonstrated that a higher total fiber composite (Model 1), as well as higher intakes of either vegetables or fruits (Model 2), resulted in greater weight loss.DiscussionOur findings indicate that the FPL program can be a part of a lifestyle medicine approach to healthy eating and weight loss. Delivering the program in clinical, community, and workplace settings can increase its reach as an effective and low-cost offering
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