2,924 research outputs found

    Maternal morbidity after childbirth in a health care facility in south - South Nigeria

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    Background: Maternal morbidity though a global public health problem had not been a major Subject of emphasis like maternal mortality. And yet for each woman that dies sixteen others Suffer various forms of morbidity.Objective: This study was design to determine the incidence, types and determinants of maternal morbidity after childbirth in a health care facility in south-south Nigeria.Methodology: This study was a retrospective review of delivery records of women who were treated at the maternity unit of the Holy Family Hospital, Ikom, Cross-Rivers State, Nigeria from January 2004 to December 2010.Results: Among the 3,068 deliveries, 124(4.04%) women suffered various morbidities. Most (31.5%) were aged 26 to 30 years. Sixty seven (54.0%) had at least secondary level of education. About 38.0% had no occupation. Unbooked (53.2%) and Para 3 to 4 (54.0%) were in the majority. The leading morbidities were; postpartum heamorrhage (33.9%), retained placenta (25.0%), hypertensive disorders (14.5%) and genital sepsis (13.7%). Educated women were more likely to book for antenatal care (p=0.000) and to deliver in orthodox health facility (p=0.007).Themorbidities were significantly related to the level of skill of the birth attendants (p=0.001) and place of delivery (P=0.045). Majority (85.5%) of the patients were treated as in-patients for a week.Conclusion: The incidence of maternal morbidity was high with postpartum haemorrhage, retained placenta, hypertensive disorders and genital sepsis as the leading morbidities. Sustaining the campaign for women education,utilization of reproductive health services, promoting the employment of skilled birth attendants and hospital delivery is recommended.Keywords: Maternal morbidity, postpartum haemorrhage, puerperal sepsis, hypertension, childbirth

    Numerical and experimental analysis of flow and particulate matter dispersion in indoor environment

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    Reducing indoor particulate matter (PM) concentration is an issue of concern from an environmental point of view as the world's population spend only 4% of their time outdoors. Computational fluid dynamics (CFD) is a fundamental tool for predicting indoor pollutant dispersion and improving knowledge on how indoor and outdoor environments interact in terms of pollutant and momentum exchanges. In this paper, an unsteady CFD simulation has been carried out to investigate the airflow and PM concentration in a classroom of the University of Rome "La Sapienza". Wind velocity and PM concentration acquired during a field campaign conducted within and outside the building of interest have been used as input for the simulation and to test the model performance as well. The results show a reasonable agreement between measured and simulated concentration within the classroom and emphasize the major role played by the micrometeorology in PM concentration. The importance of the boundary conditions at the room openings has been also discussed

    Relation of fitness and fatness with heart rate recovery after maximal exercise in Nigerian adolescents

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    This is the author accepted manuscript. The final version is available from the publisher via the DOI in this recordBACKGROUND: Heart rate recovery is an independent risk factor for adverse cardiovascular events and overall mortality. While the prognostic value of delayed Heart rate recovery following cessation of exercise is well documented, relationship of aerobic fitness and fatness with heart rate recovery among youth is less clear. We hypothesized that a delayed fall in heart rate after a progressive aerobic cardiovascular endurance run (PACER) test might be due in part to the effects of fitness and overall adiposity. METHODS: A total of 454 adolescents (224 boys and 230 girls) ages 12 to 16 years were evaluated for fitness, body fatness, baseline heart rate and one minute recovery heart rate (HRR1) after a PACER test. The participants were further divided into fit-fat groups to assess the influence of both fitness and fatness on HRR1. Regression models assessing the associations of the independent variables with HRR1were conducted. RESULTS: Fatness was the only independent predictor of HRR1 in boys but not girls. Combined fitness and fatness modesty predicted HRR1 (R2=3%). One minute HRR scores varied by fit-fat groups, the fit/Healthy Weight group demonstrated the most favorable HRR1 recovery profiles while the unfit/overweight group showed the most adverse profiles. CONCLUSIONS: Body fatness but not aerobic fitness was a better predictor of HRR1 in boys but not girls. Youth with higher aerobic fitness and Healthy Weight had more favorable HRR1 profiles than their unfit/Overweight peers

    The CAST Time Projection Chamber

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    One of the three X-ray detectors of the CAST experiment searching for solar axions is a Time Projection Chamber (TPC) with a multi-wire proportional counter (MWPC) as a readout structure. Its design has been optimized to provide high sensitivity to the detection of the low intensity X-ray signal expected in the CAST experiment. A low hardware threshold of 0.8 keV is safely set during normal data taking periods, and the overall efficiency for the detection of photons coming from conversion of solar axions is 62 %. Shielding has been installed around the detector, lowering the background level to 4.10 x 10^-5 counts/cm^2/s/keV between 1 and 10 keV. During phase I of the CAST experiment the TPC has provided robust and stable operation, thus contributing with a competitive result to the overall CAST limit on axion-photon coupling and mass.Comment: 19 pages, 11 figures and images, submitted to New Journal of Physic

    A Review of Model Predictive Controls Applied to Advanced Driver-Assistance Systems

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    Advanced Driver-Assistance Systems (ADASs) are currently gaining particular attention in the automotive field, as enablers for vehicle energy consumption, safety, and comfort enhancement. Compelling evidence is in fact provided by the variety of related studies that are to be found in the literature. Moreover, considering the actual technology readiness, larger opportunities might stem from the combination of ADASs and vehicle connectivity. Nevertheless, the definition of a suitable control system is not often trivial, especially when dealing with multiple-objective problems and dynamics complexity. In this scenario, even though diverse strategies are possible (e.g., Equivalent Consumption Minimization Strategy, Rule-based strategy, etc.), the Model Predictive Control (MPC) turned out to be among the most effective ones in fulfilling the aforementioned tasks. Hence, the proposed study is meant to produce a comprehensive review of MPCs applied to scenarios where ADASs are exploited and aims at providing the guidelines to select the appropriate strategy. More precisely, particular attention is paid to the prediction phase, the objective function formulation and the constraints. Subsequently, the interest is shifted to the combination of ADASs and vehicle connectivity to assess for how such information is handled by the MPC. The main results from the literature are presented and discussed, along with the integration of MPC in the optimal management of higher level connection and automation. Current gaps and challenges are addressed to, so as to possibly provide hints on future developments

    Gas turbine compressor washing economics and optimisation using genetic algorithm

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    Studies have shown that online compressor washing of gas turbine engines slows down the rate of fouling deterioration during operation. However, for most operators, there is a balancing between the performance improvements obtained and the investment (capital and recurring cost). Washing the engine more frequently to keep the capacity high is a consideration. However, this needs to be addressed with expenditure over the life of the washing equipment rather than a simple cost-benefit analysis. The work presented here is a viability study of online compressor washing for 17 gas turbine engines ranging from 5.3 to 307MW. It considers the nonlinear cost of the washing equipment related to size categories, as well as nonlinear washing liquid consumption related to the variations in engine mass flows. Importantly, the respective electricity break-even selling price of the respective engines was considered. The results show that for the largest engine, the return of investment is 520% and the dynamic payback time of 0.19 years when washing every 72 hours. When this is less frequent at a 480-hour interval, the investment return and payback are 462% and 0.22 years. The optimisation study using a multi-objective genetic algorithm shows that the optimal washing is rather a 95-hour interval. For the smallest engine, the investment was the least viable for this type of application.Petroleum Technology Development Fun

    Selenium as adjunct to HAART in the management of HIV/Hepatitis B Virus coinfection: A Randomized open label study

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    Objective: Management of viral hepatitis in patients with HIV disease is quite challenging and  complex. With effective HIV treatment, people with HIV/HBV co-infection are living longer. HBV  epidemiologic surveys showed an inverse association between selenium (Se) level and regional cancer incidence, as well as viral infection. This study assessed effect of selenium as adjunct to HAART in management of HIV/HBV co-infection.Methods: A randomized open label study with participants allocated into three treatment groups: – HAART-only, Se-only and HAART-plus-Se. HIV viral load, HBV viral load, CD4 cell count, and alanine aminotransaminase (ALT), were analyzed at baseline and 18th month, analyzed using SPSS 5 v11. Ethical approval was obtained from Institute’s Ethical Review Board.Results: Sample size was 149 HIV/HBV patients. Rate of HBV clearance was higher among those on HAART-plus-Se at 18th month when compared with rate of clearance among those on HAART-only (p=0.046). CD4 count increment among HAARTplus- Se group compared with HAART-only group was higher (p=0.133), though not statistically significant. On comparison of baseline and 18th month ALT, there was significant decline for HAART-plus-Se (p=0.002) compared with HAART-only group.Conclusion: Selenium seems to have protective effect on liver cells; may be beneficial as adjunct to HAART in HIV/HBV management.Key words: HIV/HBV co-infection, Selenium adjunct, HAAR

    Earth system governance for transformation towards sustainable deltas: What does research into socio-eco-technological systems tell us?

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    Increased river flows and sea level rise in a changing climate are of great concern in deltas and makes sustainability particularly important for delta societies. This article reviews current approaches to assess delta sustainability, results of these assessments and what they mean for policies regarding deltas. We particularly ask whether deltas need transformations in order for delta living to be feasible in the future. The reviewed literature is mostly based on socio-ecological systems theory with small contributions from socio-technical systems theory, and struggles to take account of all relevant interrelationships. The technological interventions that shape the relationships between societies and delta environments should be highlighted by considering deltas as complex socio-ecological-cum-technical systems, in part because technological interventions are the most feasible societal response to secure delta living in the short term. The reviewed research suggests that most deltas are locked-in to an irreversible path towards unsustainability. We examine the pathways for transformation offered by socio-ecological systems and socio-technical systems research, and we assess whether they are technically and politically sufficient, feasible and acceptable to achieve the required transformations. We conclude that while the experimentation advocated in research may support local adjustments, their up-scaling to delta level is challenged by political disagreement and societal resistance

    Association of extent of cannabis use and psychotic like intoxication experiences in a multi-national sample of first episode psychosis patients and controls

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    BackgroundFirst episode psychosis (FEP) patients who use cannabis experience more frequent psychotic and euphoric intoxication experiences compared to controls. It is not clear whether this is consequent to patients being more vulnerable to the effects of cannabis use or to their heavier pattern of use. We aimed to determine whether extent of use predicted psychotic-like and euphoric intoxication experiences in patients and controls and whether this differs between groups.MethodsWe analysed data on patients who had ever used cannabis (n = 655) and controls who had ever used cannabis (n = 654) across 15 sites from six countries in the EU-GEI study (2010–2015). We used multiple regression to model predictors of cannabis-induced experiences and to determine if there was an interaction between caseness and extent of use.ResultsCaseness, frequency of cannabis use and money spent on cannabis predicted psychotic-like and euphoric experiences (p ⩽ 0.001). For psychotic-like experiences (PEs) there was a significant interaction for caseness × frequency of use (p 0.5).ConclusionsFEP patients are particularly sensitive to increased psychotic-like, but not euphoric experiences, at higher levels of cannabis use compared to controls. This suggests a specific psychotomimetic response in FEP patients related to heavy cannabis use. Clinicians should enquire regarding cannabis related PEs and advise that lower levels of cannabis use are associated with less frequent PEs

    Charge collection properties of TowerJazz 180 nm CMOS Pixel Sensors in dependence of pixel geometries and bias parameters, studied using a dedicated test-vehicle: the Investigator chip

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    This paper contains a compilation of parameters influencing the charge collection process extracted from a comprehensive study of partially depleted Monolithic Active Pixel Sensors with small (<25 um2^2) collection electrodes fabricated in the TowerJazz 180 nm CMOS process. These results gave guidance for the optimisation of the diode implemented in ALPIDE, the chip used in the second generation Inner Tracking System of ALICE, and serve as reference for future simulation studies of similar devices. The studied parameters include: reverse substrate bias, epitaxial layer thickness, charge collection electrode size and the spacing of the electrode to surrounding in-pixel electronics. The results from pixels of 28 um pitch confirm that even in partially depleted circuits, charge collection can be fast (<10 ns), and quantify the influence of the parameters onto the signal sharing and amplitudes, highlighting the importance of a correct spacing between wells and of the impact of the reverse substrate bias
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