2,871 research outputs found

    A source unit in apparatus and tumbling for boys in the secondary school.

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    Thesis (Ed.M.)--Boston Universit

    Evaluation of an Enhanced Recovery After Surgery (ERAS) Pathway in Two Hospitals

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    OBJECTIVE: The purpose of this study is to evaluate the Enhanced Recovery After Surgery (ERAS) pathway utilized at two Norton Healthcare facilities for colorectal and gynecological surgeries. The specific aim is to examine the impact on patient outcomes, clinical effectiveness, and costs. METHODS: This was a multi-center, pre-post implementation retrospective study of the impact of ERAS pathways on colorectal surgery patients at Norton Audubon Hospital (NAH) and gynecological surgery patients at Norton Women’s and Children\u27s Hospital (NWCH). The sample included 399 patients including patients from both hospitals, pre- and post-ERAS. RESULTS: The ERAS pathway lead to a significant reduction in length of stay in the colorectal group (pre 7 days, IQR 6-10.75; post 6 days, IQR 4-10). Overall cost savings were not significant in either population. There was a significant reduction in postoperative complications of anemia (3% vs 13%) and ileus (1% vs 9%) in the gynecological specialty. There was significant reduction in time to diet order (1.8 days vs 3.5 days) for the colorectal specialty. ERAS order sets were ordered on 40.4% of the colorectal specialty and 12% of the gynecological specialty. CONCLUSION: A significant reduction was seen in LOS in the post-ERAS colorectal population. Having an ERAS order set on the chart of the colorectal patient correlated with a reduction in LOS, decreased time to diet order, and time to mobility. ERAS showed a reduction of some postoperative complications. Lack of adherence to ordering and documentation of the pathway was significant and could have impacted results

    On the Origin of Lung Cancers

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    When microarrays Met epidermal-cell migration

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    Epithelial cell migration as a potential therapeutic target in early lung cancer.

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    Lung cancer is the most lethal cancer type worldwide, with the majority of patients presenting with advanced stage disease. Targeting early stage disease pathogenesis would allow dramatic improvements in lung cancer patient survival. Recently, cell migration has been shown to be an integral process in early lung cancer ontogeny, with preinvasive lung cancer cells shown to migrate across normal epithelium prior to developing into invasive disease. TP53 mutations are the most abundant mutations in human nonsmall cell lung cancers and have been shown to increase cell migration via regulation of Rho-GTPase protein activity. In this review, we explore the possibility of targeting TP53-mediated Rho-GTPase activity in early lung cancer and the opportunities for translating this preclinical research into effective therapies for early stage lung cancer patients

    Automated test-based learning and verification of performance models for microservices systems

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    Effective and automated verification techniques able to provide assurances of performance and scalability are highly demanded in the context of microservices systems. In this paper, we introduce a methodology that applies specification-driven load testing to learn the behavior of the target microservices system under multiple deployment configurations. Testing is driven by realistic workload conditions sampled in production. The sampling produces a formal description of the users' behavior through a Discrete Time Markov Chain. This model drives multiple load testing sessions that query the system under test and feed a Bayesian inference process which incrementally refines the initial model to obtain a complete specification from run-time evidence as a Continuous Time Markov Chain. The complete specification is then used to conduct automated verification by using probabilistic model checking and to compute a configuration score that evaluates alternative deployment options. This paper introduces the methodology, its theoretical foundation, and the toolchain we developed to automate it. Our empirical evaluation shows its applicability, benefits, and costs on a representative microservices system benchmark. We show that the methodology detects performance issues, traces them back to system-level requirements, and, thanks to the configuration score, provides engineers with insights on deployment options. The comparison between our approach and a selected state-of-the-art baseline shows that we are able to reduce the cost up to 73% in terms of number of tests. The verification stage requires negligible execution time and memory consumption. We observed that the verification of 360 system-level requirements took ~1 minute by consuming at most 34 KB. The computation of the score involved the verification of ~7k (automatically generated) properties verified in ~72 seconds using at most ~50 KB. (C)& nbsp;2022 The Author(s). Published by Elsevier Inc.& nbsp

    XO-5b: A Transiting Jupiter-sized Planet With A Four Day Period

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    The star XO-5 (GSC 02959-00729, V=12.1, G8V) hosts a Jupiter-sized, Rp=1.15+/-0.12 Rjup, transiting extrasolar planet, XO-5b, with an orbital period of P=4.187732+/-0.00002 days. The planet mass (Mp=1.15+/-0.08 Mjup) and surface gravity (gp=22+/-5 m/s^2) are significantly larger than expected by empirical Mp-P and Mp-P-[Fe/H] relationships. However, the deviation from the Mp-P relationship for XO-5b is not large enough to suggest a distinct type of planet as is suggested for GJ 436b, HAT-P-2b, and XO-3b. By coincidence XO-5 overlies the extreme H I plume that emanates from the interacting galaxy pair NGC 2444/NGC 2445 (Arp 143).Comment: 10 pages, 9 Figures, Submitted to Ap
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