109 research outputs found

    Teaching Democratic Theory Democratically

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    In this article, Mattern reviews the results of one experiment in democratic education that sheds light on Democratic education in Public Schools

    John Dewey, Art and Public Life

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    This article explores, criticizes, and extends John Dewey\u27s arguments about art in relation to public life in a democracy. Dewey believed that art is a potent form of communication through which community is developed and political action undertaken. Although correct, Dewey erased conflict, negotiation and contestation From art, and failed to address the crucial role of power in the world of art. Three distinct kinds of political action through art are developed: pragmatic, deliberative, and confrontational

    Ursinus College Alumni Journal, Summer 1947

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    Word of appreciation • Old Timers\u27 Day • President\u27s page • Alumni Association tables special committee\u27s report • Student union chosen as war memorial • Women\u27s Club • Dr. Clawson new Ursinus Dean • Board of Directors creates new committee, adds five members • Campus to be used for astronomical observation • Kuhrt Wieneke named coach of football • Three resign from faculty • Fourteen members added to faculty • Dr. Distler addresses graduating class • Sports: Men\u27s basketball; baseball; men\u27s tennis; track; women\u27s swimming; women\u27s basketball; women\u27s tennis • Local alumni associations meet • Work progressing on alumni register • Summer assembly • News about ourselves • Necrology • News around townhttps://digitalcommons.ursinus.edu/alumnijournal/1031/thumbnail.jp

    Safety and Efficacy of Combining Sunitinib with Bevacizumab + Paclitaxel/Carboplatin in Non-small Cell Lung Cancer

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    Bevacizumab (B) improves survival of patients with metastatic, nonsquamous non-small cell lung cancer. Based on encouraging results from preclinical studies combining B with sunitinib (S), a phase II, randomized, open-label study (Study Assessing the Blockade of both VEGF Receptor and ligand to enhance Efficacy in Lung) was initiated to assess clinical outcomes of adding S to paclitaxel (P)/carboplatin (C) + B (PCB) for first-line treatment of locally advanced, metastatic, or recurrent nonsquamous non-small cell lung cancer.Study enrollment was to occur in three phases. In the first phase, patients received PC + B (15 mg/kg every 3 weeks), ±S (25 mg daily, 2 weeks on, 1 week off). If tolerated, the second phase would include a third cohort receiving 37.5 mg S. The third phase would consist of PCB ± highest tolerable dose S.Between March 2007 and January 2008, 26 patients were randomized to receive PCB and 30 to PCB + S 25 mg. Because of poor tolerability, none of the patients were escalated to 37.5 mg S. Median treatment duration was 10.3 weeks for PCB and 6.0 weeks for PCB + S. Thirty-five percent of patients on PCB + S required S dose reduction, 52% required S treatment interruption, and 59% discontinued S because of adverse events, most frequently hematologic events (neutropenia, thrombocytopenia, and leukopenia) and fatigue. Patients receiving PCB + S required more B interruptions (38% versus 19% for PCB) and discontinuation (52% versus 35%) because of adverse events. Survival data were limited by small sample sizes and limited treatment duration. Overall survival was not mature at time of analysis: median 6.6 months for PCB + S and not reached for PCB. Two out of 25 efficacy-evaluable patients randomized to the PCB + S cohort had confirmed partial responses, compared with 5 of 19 randomized to the PCB cohort.The addition of S to PCB was not well tolerated because of toxicities. This combination should not be studied further at these doses and schedules

    The role of allochrony in influencing interspecific differences in foraging distribution during the non-breeding season between two congeneric crested penguin species

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    Mechanisms promoting coexistence between closely related species are fundamental for maintaining species diversity. Mechanisms of niche differentiation include allochrony which offsets the peak timing of resource utilisation between species. Many studies focus on spatial and temporal niche partitioning during the breeding season, few have investigated the role allochrony plays in influencing interspecific segregation of foraging distribution and ecology between congeneric species during the non-breeding season. We investigated the non-breeding migrations of Snares (Eudyptes robustus) and Fiordland penguins (Eudyptes pachyrhynchus), closely related species breeding between 100–350 km apart whose migration phenology differs by two months. Using light geolocation tracking, we examined the degree of overlap given the observed allochrony and a hypothetical scenario where the species commence migration simultaneously. We found that Fiordland penguins migrated to the Sub-Antarctic Frontal Zone and Polar Frontal Zone in the austral autumn whereas Snares penguins disperse westwards staying north of the Sub-Tropical Front in the austral winter. Our results suggest that allochrony is likely to be at the root of segregation because the relative profitability of the different water masses that the penguins forage in changes seasonally which results in the two species utilising different areas over their core non-breeding periods. Furthermore, allochrony reduces relatively higher levels of spatiotemporal overlap during the departure and arrival periods, when the close proximity of the two species’ colonies would cause the birds to congregate in similar areas, resulting in high interspecific competition just before the breeding season. Available evidence from other studies suggests that the shift in phenology between these species has arisen from adaptive radiation and phenological matching to the seasonality of local resource availability during the breeding season and reduced competitive overlap over the non-breeding season is likely to be an incidental outcome

    Quality indicators for patients with traumatic brain injury in European intensive care units

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    Background: The aim of this study is to validate a previously published consensus-based quality indicator set for the management of patients with traumatic brain injury (TBI) at intensive care units (ICUs) in Europe and to study its potential for quality measur

    Changing care pathways and between-center practice variations in intensive care for traumatic brain injury across Europe

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    Purpose: To describe ICU stay, selected management aspects, and outcome of Intensive Care Unit (ICU) patients with traumatic brain injury (TBI) in Europe, and to quantify variation across centers. Methods: This is a prospective observational multicenter study conducted across 18 countries in Europe and Israel. Admission characteristics, clinical data, and outcome were described at patient- and center levels. Between-center variation in the total ICU population was quantified with the median odds ratio (MOR), with correction for case-mix and random variation between centers. Results: A total of 2138 patients were admitted to the ICU, with median age of 49 years; 36% of which were mild TBI (Glasgow Coma Scale; GCS 13–15). Within, 72 h 636 (30%) were discharged and 128 (6%) died. Early deaths and long-stay patients (> 72 h) had more severe injuries based on the GCS and neuroimaging characteristics, compared with short-stay patients. Long-stay patients received more monitoring and were treated at higher intensity, and experienced worse 6-month outcome compared to short-stay patients. Between-center variations were prominent in the proportion of short-stay patients (MOR = 2.3, p < 0.001), use of intracranial pressure (ICP) monitoring (MOR = 2.5, p < 0.001) and aggressive treatme

    Machine learning algorithms performed no better than regression models for prognostication in traumatic brain injury

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    Objective: We aimed to explore the added value of common machine learning (ML) algorithms for prediction of outcome for moderate and severe traumatic brain injury. Study Design and Setting: We performed logistic regression (LR), lasso regression, and ridge regression with key baseline predictors in the IMPACT-II database (15 studies, n = 11,022). ML algorithms included support vector machines, random forests, gradient boosting machines, and artificial neural networks and were trained using the same predictors. To assess generalizability of predictions, we performed internal, internal-external, and external validation on the recent CENTER-TBI study (patients with Glasgow Coma Scale <13, n = 1,554). Both calibration (calibration slope/intercept) and discrimination (area under the curve) was quantified. Results: In the IMPACT-II database, 3,332/11,022 (30%) died and 5,233(48%) had unfavorable outcome (Glasgow Outcome Scale less than 4). In the CENTER-TBI study, 348/1,554(29%) died and 651(54%) had unfavorable outcome. Discrimination and calibration varied widely between the studies and less so between the studied algorithms. The mean area under the curve was 0.82 for mortality and 0.77 for unfavorable outcomes in the CENTER-TBI study. Conclusion: ML algorithms may not outperform traditional regression approaches in a low-dimensional setting for outcome prediction after moderate or severe traumatic brain injury. Similar to regression-based prediction models, ML algorithms should be rigorously validated to ensure applicability to new populations

    Variation in Structure and Process of Care in Traumatic Brain Injury: Provider Profiles of European Neurotrauma Centers Participating in the CENTER-TBI Study.

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    INTRODUCTION: The strength of evidence underpinning care and treatment recommendations in traumatic brain injury (TBI) is low. Comparative effectiveness research (CER) has been proposed as a framework to provide evidence for optimal care for TBI patients. The first step in CER is to map the existing variation. The aim of current study is to quantify variation in general structural and process characteristics among centers participating in the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) study. METHODS: We designed a set of 11 provider profiling questionnaires with 321 questions about various aspects of TBI care, chosen based on literature and expert opinion. After pilot testing, questionnaires were disseminated to 71 centers from 20 countries participating in the CENTER-TBI study. Reliability of questionnaires was estimated by calculating a concordance rate among 5% duplicate questions. RESULTS: All 71 centers completed the questionnaires. Median concordance rate among duplicate questions was 0.85. The majority of centers were academic hospitals (n = 65, 92%), designated as a level I trauma center (n = 48, 68%) and situated in an urban location (n = 70, 99%). The availability of facilities for neuro-trauma care varied across centers; e.g. 40 (57%) had a dedicated neuro-intensive care unit (ICU), 36 (51%) had an in-hospital rehabilitation unit and the organization of the ICU was closed in 64% (n = 45) of the centers. In addition, we found wide variation in processes of care, such as the ICU admission policy and intracranial pressure monitoring policy among centers. CONCLUSION: Even among high-volume, specialized neurotrauma centers there is substantial variation in structures and processes of TBI care. This variation provides an opportunity to study effectiveness of specific aspects of TBI care and to identify best practices with CER approaches
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