148 research outputs found

    BIG DATA IN SMART CITIES: A SYSTEMATIC MAPPING REVIEW

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    Big data is an emerging area of research and its prospective applications in smart cities are extensively recognized. In this study, we provide a breadth-first review of the domain “Big Data in Smart Cities” by applying the formal research method of systematic mapping. We investigated the primary sources of publication, research growth, maturity level of the research area, prominent research themes, type of analytics applied, and the areas of smart cities where big data research is produced. Consequently, we identified that empirical research in the domain has been progressing since 2013. The IEEE Access journal and IEEE Smart Cities Conference are the leading sources of literature containing 10.34% and 13.88% of the publications, respectively. The current state of the research is semi-matured where research type of 46.15% of the publications is solution and experience, and contribution type of 60% of the publications is architecture, platform, and framework. Prescriptive is least whereas predictive is the most applied type of analytics in smart cities as it has been stated in 43.08% of the publications. Overall, 33.85%, 21.54%, 13.85%, 12.31%, 7.69%, 6.15%, and 4.61% of the research produced in the domain focused on smart transportation, smart environment, smart governance, smart healthcare, smart energy, smart education, and smart safety, respectively. Besides the requirement for producing validation and evaluation research in the areas of smart transportation and smart environment, there is a need for more research efforts in the areas of smart healthcare, smart governance, smart safety, smart education, and smart energy. Furthermore, the potential of prescriptive analytics in smart cities is also an area of research that needs to be explored

    The acute management of trauma hemorrhage: a systematic review of randomized controlled trials.

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    PublishedResearch Support, Non-U.S. Gov'tReviewINTRODUCTION: Worldwide, trauma is a leading cause of death and disability. Haemorrhage is responsible for up to 40% of trauma deaths. Recent strategies to improve mortality rates have focused on optimal methods of early hemorrhage control and correction of coagulopathy. We undertook a systematic review of randomized controlled trials (RCT) which evaluated trauma patients with hemorrhagic shock within the first 24 hours of injury and appraised how the interventions affected three outcomes: bleeding and/or transfusion requirements; correction of trauma induced coagulopathy and mortality. METHODS: Comprehensive searches were performed of MEDLINE, EMBASE, CENTRAL (The Cochrane Library Issue 7, 2010), Current Controlled Trials, ClinicalTrials.gov, the World Health Organization International Clinical Trials Registry Platform (ICTRP) and the National Health Service Blood and Transplant Systematic Review Initiative (NHSBT SRI) RCT Handsearch Database. RESULTS: A total of 35 RCTs were identified which evaluated a wide range of clinical interventions in trauma hemorrhage. Many of the included studies were of low methodological quality and participant numbers were small. Bleeding outcomes were reported in 32 studies; 7 reported significantly reduced transfusion use following a variety of clinical interventions, but this was not accompanied by improved survival. Minimal information was found on traumatic coagulopathy across the identified RCTs. Overall survival was improved in only three RCTs: two small studies and a large study evaluating the use of tranexamic acid. CONCLUSIONS: Despite 35 RCTs there has been little improvement in outcomes over the last few decades. No clear correlation has been demonstrated between transfusion requirements and mortality. The global trauma community should consider a coordinated and strategic approach to conduct well designed studies with pragmatic endpoints.This research project was funded by the National Institute for Health Research Programme Grant for Applied Research (RP-PG-0407-10036)

    Complication rates in managing hepatic trauma: a cross-sectional study stratifying their outcomes

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    Background: Liver trauma is the most commonly observed injured organ in abdominal trauma. The objectives of this study was to determine and evaluate the rates of complication in the management of liver traumaMethods: This cross-sectional observational study using non-probability convenient sampling technique was done at surgical unit of Liaquat University of Medical and Health Sciences, Jamshoro, for 06 months. After ethical approval from Institute’s Institutional Review Board (IRB), patients presenting to surgical emergency of the hospital between ages 16 to 60 years having blunt or penetrating liver trauma within 04 hours of incident, either road traffic accident, sustaining a fall, sporting injury, knife or stab wound were include while patients of liver trauma conservatively managed or had severe co-morbid, not fit for anesthesia, with multiple organs lesions (polytrauma) and all hepatic injury patients that were hemo-dynamically stable were excluded. SPSS version 23 was used for data analysis keeping p-value <0.05 as significant.Results: Among 136 patients with mean age 32.33±11.23 years, 120(88.2%) were males. 122(89.7%) of the patients were admitted due to liver trauma of blunt variety while 14(10%) with penetrating liver injury. Overall mean duration of hospital stay was 13.1±4.58 days. 41(30%) patients reported intra-abdominal sepsis, followed by recurrent hemorrhage in 33(24%) of patients while in 22(16%) of patients, biliary leakage was observed. An insignificant difference persisted in either surgical intervention in terms of the complication rates.Conclusions: Higher complication rates were observed in patients with peri-hepatic packing, however outcome of both surgical techniques in terms of complication rates were found to be insignificant. Further studies are needed to shed light upon the findings or this study

    Ischemic stroke subtypes in Pakistan: The Aga Khan University stroke data bank

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    Objective: Frequency of ischemic stroke subtypes is influenced by ethnic and geographic variables. Our objective was to identify various stroke subtypes and its determinants at a tertiary care hospital. Methods: We prospectively collected data on ischemic stroke subtypes admitted to The Aga Khan University Hospital in Karachi. Results: A total of 596 patients were enrolled in 22 months in the Aga Khan Universtiy Stroke Registry. These included 393 patients with Ischemic stroke, 126 patients with intracerebral hemorrhage, 50 patients with subarachnoid hemorrhage and others. The ischemic stroke group was classified according to the TOAST criteria and comprised of lacunar 168/393 (42.7%); large artery atherosclerosis 106/393 (26.9°/x); cardioembolic 24/393 (6.1%); undetermined 80/393 (20.3°!0); and other determined types 15/393 (3.8%). The high proportion of lacunar strokes in our population may be due to high burden of inadequately treated hypertension and diabetes. Clear cut cardioembolic stroke was relatively infrequent in our population. Conclusion: Lacunar stroke is the most common subtype of stroke in our patient population. This is most likely secondary to uncontrolled hypertension (JPMA 53:584;2003)

    Further evidence on non-audit fees: Using the context of female directors on audit committees

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    This study aims to examine the association between non-audit fees and audit quality by utilizing the context of gender-diverse audit committees. Further, we assess whether this link is moderated by industry-specialist auditors. This study utilized non-financial FTSE-350 firms over the period of seven years. In addition, we use ordinary least squares regression to test our research hypotheses. We find that female directors on audit committees are negatively related with non-audit fees, suggesting that non-audit fees reduce audit quality. Moreover, our results indicate that industry-specialist auditors positively moderate the link between gender-diverse audit committees and non-audit fees. This suggests that non-audit fees improve audit quality when the auditor is an industry-specialist. Our study does not support blanket restrictions on non-audit fees. It recommends regulators to consider industry expertise of auditors when devising non-audit fee restrictions. Moreover, our findings have implications for firms aiming to understand whether non-audit fees could be used for enhancing audit quality. By utilizing the context of female directors on audit committees, we conclusively assess the link between non-audit fees and audit quality. Further, this study provides a more robust evidence on whether industry-specialist auditors affect the relation between non-audit fees and audit qualit

    Gender violence in schools: taking the ‘girls-as-victims’ discourse forward

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    This paper draws attention to the gendered nature of violence in schools. Recent recognition that schools can be violent places has tended to ignore the fact that many such acts originate in unequal and antagonistic gender relations, which are tolerated and ‘normalised’ by everyday school structures and processes. After examining some key concepts and definitions, we provide a brief overview of the scope and various manifestations of gender violence in schools, noting that most research to date has focused on girls as victims of gender violence within a heterosexual context and ignores other forms such as homophobic and girl violence. We then move on to look at a few interventions designed to address gender violence in schools in the developing world and end by highlighting the need for more research and improved understanding of the problem and how it can be addressed

    Quantifying the healthcare costs of treating severely bleeding major trauma patients: a national study for England.

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    INTRODUCTION: Severely bleeding trauma patients are a small proportion of the major trauma population but account for 40% of all trauma deaths. Healthcare resource use and costs are likely to be substantial but have not been fully quantified. Knowledge of costs is essential for developing targeted cost reduction strategies, informing health policy, and ensuring the cost-effectiveness of interventions. METHODS: In collaboration with the Trauma Audit Research Network (TARN) detailed patient-level data on in-hospital resource use, extended care at hospital discharge, and readmissions up to 12 months post-injury were collected on 441 consecutive adult major trauma patients with severe bleeding presenting at 22 hospitals (21 in England and one in Wales). Resource use data were costed using national unit costs and mean costs estimated for the cohort and for clinically relevant subgroups. Using nationally available data on trauma presentations in England, patient-level cost estimates were up-scaled to a national level. RESULTS: The mean (95% confidence interval) total cost of initial hospital inpatient care was £19,770 (£18,177 to £21,364) per patient, of which 62% was attributable to ventilation, intensive care, and ward stays, 16% to surgery, and 12% to blood component transfusion. Nursing home and rehabilitation unit care and re-admissions to hospital increased the cost to £20,591 (£18,924 to £22,257). Costs were significantly higher for more severely injured trauma patients (Injury Severity Score ≥15) and those with blunt injuries. Cost estimates for England were £148,300,000, with over a third of this cost attributable to patients aged 65 years and over. CONCLUSIONS: Severely bleeding major trauma patients are a high cost subgroup of all major trauma patients, and the cost burden is projected to rise further as a consequence of an aging population and as evidence continues to emerge on the benefits of early and simultaneous administration of blood products in pre-specified ratios. The findings from this study provide a previously unreported baseline from which the potential impact of changes to service provision and/or treatment practice can begin to be evaluated. Further studies are still required to determine the full costs of post-discharge care requirements, which are also likely to be substantial

    Protocol-specific and sensor network-inherited attack detection in IoT using machine learning

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    For networks with limited resources, such as IoT-enabled smart homes, smart industrial equipment, and urban infrastructures, the Routing Protocol for Low-power and Lossy Networks (RPL) was developed. Additionally, a number of optimizations have been suggested for its application in other contexts, such as smart hospitals, etc. Although these networks offer efficient routing, the lack of active security features in RPL makes them vulnerable to attacks. The types of attacks include protocol-specific ones and those inherited by wireless sensor networks. They have been addressed by a number of different proposals, many of which have achieved substantial prominence. However, concurrent handling of both types of attacks is not considered while developing a machine-learning-based attack detection model. Therefore, the ProSenAD model is proposed for addressing the identified gap. Multiclass classification has been used to optimize the light gradient boosting machine model for the detection of protocol-specific rank attacks and sensor network-inherited wormhole attacks. The proposed model is evaluated in two different scenarios considering the number of attacks and the benchmarks for comparison in each scenario. The evaluation results demonstrate that the proposed model outperforms with respect to the metrics including accuracy, precision, recall, Cohen’s Kappa, cross entropy, and the Matthews correlation coefficient
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