47 research outputs found

    Metrics, indicators and analytics to support government excellence programme::the case of Dubai Government Website Excellence Model (WEM)

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    This research is focused on the construction of composite indicators: a complex process involving various steps that have significant impact on the results. One of the main problems in constructing composite indicators is its reliance on multiple subjective judgments (Cherchye et al., 2008). This was clearly demonstrated in the case of Website Excellence Model (WEM) scores, whose main purpose is to assess and compare the performance of Dubai Government departments’ website. Many subjective judgments were being made by different parties in each of the three main stages of the WEM process: pre-assessment, assessment and post-assessment stage. This level of subjectivity led to a problem where many departments end up being unsatisfied with the overall scores and the general process of deriving the results.This research indicates that at each stage of the WEM process, the reliability, validity and fairness of the results were affected. To construct a more accurate, flexible, equitable and transparent WEM scoring methodology, we proposed the use of geometric data envelopment analysis model (G-DEA) along with some general guidelines to be followed during different stages of the process. G-DEA methodology combines positive characteristics of geometric aggregation, Analytical Hierarchy Process (AHP) and DEA. Geometric aggregation makes improvements on two different levels. First, it is better suited for constructing WEM scores than the “standard” additive aggregation, for much the same reasons as for why the switch from additive to geometric aggregation took place for Human Development Index back in 2010. Second, it allows for DEA-like models to be easily extended and applied to a composite indicator irrespective of how complex its hierarchy structure may be. The elements of AHP and DEA contribute through their own well-known properties, such as the reduction of decision bias (AHP and DEA) and an equitable evaluation of departments relative to the observed best practices (DEA).In short, this thesis proposes the use of G-DEA model and discusses the most relevant theoretical and practical aspects and features of that method when applying it to WEM scores. G-DEA methodology is well suited for the WEM scoring framework but there are certainly many other applications, relating to the construction of composite indicators that could benefit from the same methodology. Overall, this study aims to provide both practitioners and academics in the field of composite indicators with a clear application focus on using G-DEA to assess website performance, penetrating the area which so far has never been used in the context of composite indictors. In addition, this study clearly illustrates how G-DEA can combine many good qualities of different well-known techniques for constructing composite indicators

    Unpacking the role of innovation capability:Exploring the impact of leadership style on green procurement via a natural resource-based perspective

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    In response to the growing urgency of environmental concerns in civil society, governments have been accelerating their pursuit of green procurement. However, green procurement faces substantial barriers and challenges that are internal to the governmental organizations. Using a natural resource-based view as the theoretical lens, this study developed and tested a model on how leadership styles and innovation capability influence green procurement. The findings showed that neither transformational nor transactional leadership styles influence green procurement, although they do influence innovation capability. Notably, innovation capability fully mediates the relationship between both transformational and transactional leadership styles and green procurement. Our findings offer a more advanced understanding of the impact of leadership style on e-procurement and the role of innovation capability, thereby addressing the crucial questions of how leadership style and innovation capability can enhance green procurement to improve environmental sustainability

    Effect of Gold Nanoparticles Size on Light Scattering for Thin Films Amorphous-Silicon Cells

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    Cataloged from PDF version of article.In this work, the effect of gold (Au) nanoparticles on the performance of a-Si:H solar cells is investigated experimentally. The solar cell stack is grown on a highly doped p-type Si wafer and consists of 20nm heavily doped p-type a-Si, 500nm undoped a-Si, 20nm heavily doped n-type a-Si and finally 80nm Indium Tin Oxide (ITO) on the top. Au nanoparticles of 10, 20, 50, 80, 100, 200 and 400nm are spin coated on top of the ITO before metallization. The plasmonic effect of the Au nanoparticles allows for additional scattering at the surface thus reducing the overall reflectivity. The larger the nanoparticle size the more scattering is obtained and the median reflectivity drops from about 23% to 18%. The results show an increase in the short-circuit current density (Jsc) and efficiency with increasing nanoparticle size. The Jsc increases from 9.34 to 10.1mA/cm2. In addition, the efficiency increases from 4.28% to 5.01%. © 2014 Elsevier Ltd

    Improved efficiency of thin film a-Si:H solar cells with Au nanoparticles

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    In this work, the effect of Au nanoparticles on the performance of a-Si:H solar cells is investigated experimentally. Au nanoparticles of 10, 20, 50, 80, 100, 200 and 400 nm are spin coated on ITO before metallization. The results show an increase in the Jsc and efficiency with increasing nanoparticle size. The Jsc increases from 9.34 mA/cm2 to 10.1 mA/cm2. In addition, the efficiency increases from 4.28% to 5.01%. © 2013 IEEE

    Phytochemical analysis and antioxidant activity of Haloxylon salicarnicum, Ochradenus arabicus and Tamarix nilotica

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    In the present investigation, the preliminary phytochemical analysis and antioxidant potential of hexane, chloroform, acetone and methanol extracts of Haloxylon salicarnicum, Ochradenus arabicus and Tamarix nilotica were reported. The presence of flavonoid, alkaloid, phenols, terpenoids, carbohydrate, tannin, protein, steroids, saponin, phlobatannin, cardiacglycoside, anthraquinines and volatile oils were determined and for antioxidant activity, DPPH, ABTS, superoxide anion radical and hydroxyl radical scavenging potential were studied. Strong presence of alkaloid, tannin, steroids in H. salicarnicum, flavonoid and phenols in O. arabicus and saponin T. nilotica were observed. In the present investigation, all the extracts inhibited the free radicals the methanol extract of O. arabicus was identified as potential crude extract compared to all other extracts with the IC50 values of 91.65 (DPPH), 94.62 (ABTS), 95.82 (O2) and 96.02 (OH) µg/mL. Whereas, the IC50 value of the standard, Gallic acid were 125.25 (DPPH), 142.32 (ABTS), 130.78 (O2) and 139.93 µg/mL (OH). Whereas, the IC50 value of the standard, Gallic acid were 125.25 (DPPH), 142.32 (ABTS), 130.78 (O2) and 139.93 µg/mL (OH)The present study suggests that methanol extract of O. arabicus can be used for the isolation potential natural antioxidant

    Diagnostic Efficiency of Three Fully Automated Serology Assays and Their Correlation with a Novel Surrogate Virus Neutralization Test in Symptomatic and Asymptomatic SARS-COV-2 Individuals

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    Abstract: To support the deployment of serology assays for population screening during the COVID-19 pandemic, we compared the performance of three fully automated SARS-CoV-2 IgG assays: Mindray CL-900i® (target: spike [S] and nucleocapsid [N]), BioMérieux VIDAS®3 (target: receptor-binding domain [RBD]) and Diasorin LIAISON®XL (target: S1 and S2 subunits). A total of 111 SARS-CoV-2 RT-PCR- positive samples collected at ≥ 21 days post symptom onset, and 127 prepandemic control samples were included. Diagnostic performance was assessed in correlation to RT-PCR and a surrogate virus-neutralizing test (sVNT). Moreover, cross-reactivity with other viral antibodies was investigated. Compared to RT-PCR, LIAISON®XL showed the highest overall specificity (100%), followed by VIDAS®3 (98.4%) and CL-900i® (95.3%). The highest sensitivity was demonstrated by CL-900i® (90.1%), followed by VIDAS®3 (88.3%) and LIAISON®XL (85.6%). The sensitivity of all assays was higher in symptomatic patients (91.1–98.2%) compared to asymptomatic patients (78.4–80.4%). In correlation to sVNT, all assays showed excellent sensitivities (92.2–96.1%). In addition, VIDAS®3 demonstrated the best correlation (r = 0.75) with the sVNT. The present study provides insights on the performance of three fully automated assays, which could help diagnostic laboratories in the choice of a particular assay according to the intended us

    Pregnancy outcomes among Syrian refugee and Jordanian women: a comparative study.

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    AIM: To compare pregnancy outcomes of Syrian refugee women and Jordanian women. BACKGROUND AND INTRODUCTION: In the past few years, thousands of Syrians fled Syria to neighbouring countries such as Jordan as a result of the continuing conflict in their country. Pregnant refugee women are facing many difficulties that increase the prevalence of antenatal complications. However, there is limited awareness of whether Syrian refugee women have different risks of pregnancy outcomes than Jordanian women. METHODS: Using a retrospective cohort design, we examined pregnancy outcomes for Syrian refugee (N = 616) and Jordanian women (N = 644) giving birth at two governmental hospital in northern Jordan, between 1 January 2014 and 31 December 2014. A checklist of 13 variables was utilized. The primary outcome measures were delivery by Caesarean section, maternal complications, low birthweight (<2500 g), APGAR score and preterm delivery (<37 weeks' gestational age). RESULTS: Statistical analysis revealed that refugee mothers had a significant increase in the rate of Caesarean section and higher rate of anaemia, a lower neonates' weight and APGAR scores when compared to their Jordanian counterparts. DISCUSSION: Results were congruent with findings from other studies in the region and worldwide. CONCLUSION AND IMPLICATIONS FOR NURSING AND HEALTH POLICY: Minimizing inequalities in pregnancy outcomes between Syrian refugees and Jordan women is a healthcare priority. The findings could guide the planning and development of health policies in Jordan that would help to alleviate the situation regarding refugee populations. Action is required by policy makers, specifically targeting public and primary healthcare services, to address the problem of adequately meeting the needs for antenatal care of this vulnerable population

    Midwives' Experiences, Education, and Support Needs Regarding Basic Newborn Resuscitation in Jordan.

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    Newborns who are compromised at birth require rapid attention to stabilize their respiration attempts. Lack of knowledge regarding basic newborn resuscitation is a contributing factor to poor newborn health outcomes and increased mortality. The purpose of this study was to explore Jordanian midwives' experiences, education, and support needs to competently perform basic newborn resuscitation. Qualitative descriptive methodology was used to analyze a convenience sample of 20 midwives. A thematic approach was used to analyze the data. Participants discussed their experiences of basic newborn resuscitation including knowledge, skills, and barriers and suggested solutions to improve practice. Four themes were revealed: lack of knowledge and skills in newborn resuscitation, organizational constraints, inadequate teamwork, and educational needs. The midwives perceived that their ability to perform newborn resuscitation was hindered by lack of knowledge and skills in newborn resuscitation, organizational constraints (such as lack of equipment), and poor co-ordination and communication among team members

    Effect of gold nanoparticles size on light scattering for thin film amorphous-silicon solar cells

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    In this work, the effect of gold (Au) nanoparticles on the performance of a-Si:H solar cells is investigated experimentally. The solar cell stack is grown on a highly doped p-type Si wafer and consists of 20nm heavily doped p-type a-Si, 500nm undoped a-Si, 20nm heavily doped n-type a-Si and finally 80nm Indium Tin Oxide (ITO) on the top. Au nanoparticles of 10, 20, 50, 80, 100, 200 and 400nm are spin coated on top of the ITO before metallization. The plasmonic effect of the Au nanoparticles allows for additional scattering at the surface thus reducing the overall reflectivity. The larger the nanoparticle size the more scattering is obtained and the median reflectivity drops from about 23% to 18%. The results show an increase in the short-circuit current density (Jsc) and efficiency with increasing nanoparticle size. The Jsc increases from 9.34 to 10.1mA/cm2. In addition, the efficiency increases from 4.28% to 5.01%. © 2014 Elsevier Ltd
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