11 research outputs found

    Money Laundering Among Globalized World

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    The Impact of Globalization on Cross-Cultural Communication

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    The future of leadership: addressing complex global issues

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    Comparative analysis of travel time prediction algorithms for urban arterials using Wi-Fi Sensor Data

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    Travel time is one of the elementary traffic stream parameters in both users’ and transport planners’ perspective. Conventional travel time estimation methods have performed out of sorts for Indian urban traffic conditions characterized by heterogeneity in transport modes and lack of lane discipline. Robust to these limitations, Media Access Control (MAC) matching is perceived to be a reliable alternative for travel time estimation. To assist with real-time traffic control strategies, this study aims at developing a reliable structure for forecasting travel time on Indian urban arterials using data from Wi-Fi/ Bluetooth sensors. The data collected on an urban arterial in Chennai has been used as a case study to explain the value of such data and to explore its applicability in implementing various prediction models. To this end, this study examines and compares three different machine learning algorithms k-Nearest Neighbour (kNN), Random Forest (RDF), Naive Bayes, and Kalman filtering technique for prediction. The performance of each model is evaluated to understand its suitability

    Pre-Intubation Veno-Venous Extracorporeal Membrane Oxygenation in Patients at Risk for Respiratory Decompensation

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    Veno-venous extracorporeal membrane oxygenation (VV-ECMO) has emerged as a potential life-saving treatment for patients with acute respiratory failure. Given the accumulating literature supporting the use of VV-ECMO without therapeutic levels of anticoagulation, it might be feasible to use it for planned intubation before surgical procedures. Here, we report consecutive series of patients who underwent planned initiation of VV-ECMO, without anticoagulation, before induction of general anesthesia for anticipated difficult airways or respiratory decompensation. We describe the approach to safely initiate VV-ECMO in an awake patient. We retrospectively identified patients in a prospectively maintained database who underwent planned initiation of VV-ECMO before intubation. Standard statistical methods were used to determine post-procedure outcomes. Patients included were three men and one woman, with a mean age of 34.3 ± 10.4 years. Indications included mediastinal lymphoma, foreign body obstruction, hemoptysis, and tracheo-esophageal fistula. VV-ECMO was initiated electively for all patients, and no anticoagulation was used. The median duration of VV-ECMO support was 2.5 days (1–11 days), the median length of ventilator dependence and intensive care unit stay was 1 day (1–23 days) and 5 days (4–31 days), respectively. The median length of stay was 18.5 days (8–39 days). There were no thrombotic complications and no mortality at 30 days. Initiation of awake VV-ECMO is feasible and is safe before intubation and induction of anesthesia in patients at high risk for respiratory decompensation

    Prognostic models of abdominal wound dehiscence after laparotomy

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    Background. Portions of the prospective, multi-institutional National Veterans Affairs Surgical Quality Improvement Program were used to develop and validate a perioperative risk index to predict abdominal wound dehiscence after laparotomy. Methods. Perioperative data from 17,044 laparotomies resulting in 587 (3.4%) wound dehiscences performed at 132 Veterans Affairs Medical Centers between October 1, 1996, and September 30, 1998, were used to develop the model. Data from 17,763 laparotomies performed between October 1, 1998, and September 30, 2000, resulting in 562 (3.2%) dehiscences were used to validate the model. Models were developed using multivariable stepwise logistic regression with preoperative, intraoperative, and postoperative variables entered sequentially as independent predictors of wound dehiscence. The model was used to create a scoring system, designated the abdominal wound dehiscence risk index. Results. Factors contributing significantly to the model and their point values (in parentheses) for the risk index include CVA with no residual deficit (4), history of COPD (4), current pneumonia (4), emergency procedure (6), operative time greater than 2.5 h (2), PGY 4 level resident as surgeon (3), clean wound classification (-3), superficial (5), or deep (17) wound infection, failure to wean from the ventilator (6), one or more complications other than dehiscence (7), and return to OR during admission (-11). Scores of 11-14 are predictive of 5% risk of dehiscence while scores of \u3e14 predict 10% risk. Conclusions. This abdominal wound dehiscence risk index identifies patients at risk for dehiscence and may be useful in guiding perioperative management. © 2003 Elsevier Science (USA)

    Timing of Intubation in Coronavirus Disease 2019: A Study of Ventilator Mechanics, Imaging, Findings, and Outcomes

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    Objectives:. Determine the variation in outcomes and respiratory mechanics between the subjects who are intubated earlier versus later in their coronavirus disease 2019 course. Design:. Retrospective cohort study. Setting:. Northwestern Memorial Hospital ICUs. Patients:. All patients intubated for coronavirus disease 2019 between March 2020 and June 2020. Interventions:. Patients were stratified by time to intubation: 30 subjects were intubated 4–24 hours after presentation and 24 subjects were intubated 5–10 days after presentation. Baseline characteristics, hospitalization, ventilator mechanics, and outcomes were extracted and analyzed. Ten clinically available CT scans were manually reviewed to identify evidence of pulmonary vascular thrombosis and intussusceptive angiogenesis. Measurements and Main Results:. Median time from symptom onset to intubation was significantly different between the early and late intubation cohorts, with the latter being intubated later in the course of their illness (7.9 vs 11.8 d; p = 0.04). The early intubation cohort had a lower mortality rate than the late intubation cohort (6% vs 30%, p < 0.001) without significantly different respiratory mechanics at the time of intubation. The late intubation cohort was noted to have higher dead space ratio (0.40 vs 0.52; p = 0.03). On review of CT scans, the late intubation cohort also had more dilated peripheral segments on imaging (two segments vs five segments). Conclusions:. The question as to whether delaying intubation is beneficial or harmful for patients with coronavirus disease 2019-induced hypoxemic respiratory failure has yet to be answered. As our approaches to coronavirus disease 2019 continue to evolve, the decision of timing of intubation remains paramount. Although noninvasive ventilation may allow for delaying intubation, it is possible that there are downstream effects of delayed intubation that should be considered, including the potential for pulmonary vascular thrombosis and intussusceptive angiogenesis with delayed intubation

    International collaboration to assess the risk of Guillain Barre Syndrome following Influenza A (H1N1) 2009 monovalent vaccines

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    <p>Background: The global spread of the 2009 novel pandemic influenza A (H1N1) virus led to the accelerated production and distribution of monovalent 2009 Influenza A (H1N1) vaccines (pH1N1). This pandemic provided the opportunity to evaluate the risk of Guillain-Barre syndrome (GBS), which has been an influenza vaccine safety concern since the swine flu pandemic of 1976, using a common protocol among high and middle-income countries. The primary objective of this project was to demonstrate the feasibility and utility of global collaboration in the assessment of vaccine safety, including countries both with and without an established infrastructure for vaccine active safety surveillance. A second objective, included a priori, was to assess the risk of GBS following pH1N1 vaccination.</p><p>Methods: The primary analysis used the self-controlled case series (SCCS) design to estimate the relative incidence (RI) of GBS in the 42 days following vaccination with pH1N1 vaccine in a pooled analysis across databases and in analysis using a meta-analytic approach.</p><p>Results: We found a relative incidence of GBS of 2.42(95% CI 1.58-3.72) in the 42 days following exposure to pH1N1 vaccine in analysis of pooled data and 2.09(95% CI 1.28-3.42) using the meta-analytic approach.</p><p>Conclusions: This study demonstrates that international collaboration to evaluate serious outcomes using a common protocol is feasible. The significance and consistency of our findings support a conclusion of an association between 2009 H1N1 vaccination and GBS. Given the rarity of the event the relative incidence found does not provide evidence in contradiction to international recommendations for the continued use of influenza vaccines. (C) 2013 Elsevier Ltd. All rights reserved.</p>
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