Search

This study summarizes the efforts taken to provide reliable reservoir characterizations products to mitigate seismic interpretation challenges and delineation of the reservoirs. ADNOC has conducted seismic exploration activities to assess Miocene to Upper Cretaceous aged reservoirs in East Onshore Abu Dhabi. The Oligo-Miocene section comprises of interbedded salt (mainly halite), anhydrite, limestones and marls. Deposited in the foreland basin related to the Oman thrust-belt. Ranging in thickness from nearly 1.5 km in the depocenter to almost nil on the forebulge located to the west of the studied area. The well data based geological model suggests that initially porous rocks (presumably grain-supported carbonates) encompassed polyphase sulfate cementation during recurrent subaerial exposure in which pores and grains were recrystallized sometimes completely too massive, tight anhydrite beds. This heterogeneity of the complex shallow section showing high variation of velocity impact seismic imaging, and interpretation to model the stratigraphic/structural framework and link it with reservoir characterization. Hence, ADNOC decided to conduct a trial on state-of-art technique Litho-Petro-Elastic (LPE) AVA Inversion to mitigate the seismic interpretation challenges and delineate the reservoirs. The LPE AVA inversion provides a single-loop approach to reservoir characterization based on rock physics models and compaction trends, reducing the dependency on a detailed prior the low frequency model, Where the rock modelling and lithology classification are not separate steps but interact directly with the seismic AVO inversion for optimal estimates of lithologies and elastic properties. The LPE inversion scope requires seismic data conditioning such as CMP gathers de-noising, de-multiple, flattening and amplitude preservation, in addition to detailed log conditioning, petro-elastic and rock physics analysis to maximize the quality and value of the results. The study proved that the LPE AVA Inversion can be used to guide seismic interpreters in mapping the structural framework in challenging seismic data, as it managed to improve the prospect evaluation.

This study explores how teachers visualize educational change at schools in the United Arab Emirates (UAE). Teachers’ experiences are crucial in understanding their adherence to educational reform implementation and reducing inconsistent behaviors which might occur during the process. Randomized sampling was used to select and interview 19 teachers. The study validated the obtained data using Colaizzi’s phenomenological data method analysis. Six themes emerged from the analysis of 64 statements. The mental representations included imaging educational change as a maze, transplanted organ, and a roller coaster. Clarifying a teacher's image of educational change may help school principals identify appropriate coping strategies and enhance principal–teacher relationships.

As the number of COVID-19 cases worldwide rises exponentially, clinicians and healthcare systems are faced with a difficult dilemma. Should they focus on supportive care and wait for the results of clinical trials or join other clinicians who are already prescribing specific antimicrobials which may be active against the virus? Eighty per cent of patients with COVID-19 have mild infection, 15% develop severe illness and 5% require critical care admissions for organ support.1 Mortality is currently estimated to be 1%–3%.1 Older patients (>80 years old) and patients with comorbidity such as respiratory disease, diabetes, stroke, cardiac disease and cancer are more likely to die from the illness.2 Mortality for a patient admitted to critical care is estimated to be about 50%; however, this may be dependent on access to and quality of critical care services. So far, no vaccine or drug has been approved to treat human coronaviruses including COVID-19. In addition, there is no validated clinical tool or test to predict patients who are likely to develop complications. There are currently multiple …

The present study intends to identify the importance of green human resource management practices in public sector organizations; employee awareness about green human resource management practices; employees’ readiness to implement these practices; and government vision and policies towards green human resource management leading towards organizational sustainability in public sector organizations of the United Arab Emirates. This cross-sectional study shall empirically test the hypothesis based on research questions about primary data, collected from employees of public sector organizations. Based on positive epistemology in this deductive research, a hypothesis is designed, and data collected, through closed-ended survey questions using a convenience sampling technique. The present research finds that the government vision and policies about green human resource management practices were not fully explained to employees working in the public sector, hindering the attainment of organizational environmental goals, and hence national sustainability efforts. Green human resource management practices significantly contribute to organizational sustainability. To maintain sustainable growth and performance, organizations shall implement green concepts across organizations, including Human Resource Management departments. Organizations need to develop green objectives on an annual basis, aligned with government vision and policies in this regard. All stakeholders, including academic experts and business leaders, need to be oriented about green concepts in order to better collaborate, and employees need to be comprehensively trained to understand and implement these concepts in order to attain organizational sustainability in all aspects. Research outcomes of this study cannot be generalized with as much confidence in private sector work settings, since the study is designed and conducted on public sector organizations of the United Arab Emirates.

The study aims to examine the impact of applying artificial intelligence on the quality of making decisive security decisions in Abu Dhabi Police General Headquarters. The study uses hypothetical deductive approach to measure impact of applying artificial intelligence on the quality of decision-making. The study uses purposive sample of 100 respondents on staff of Abu Dhabi Police General Headquarters. The results showed that the importance of artificial intelligence was high. This indicates that managerial decision-making is directly or indirectly affected by artificial intelligence within the study sample. This makes the security sectors interested in the developments of artificial intelligence and its outputs and exploits them to save time in making decisions, and achieving quality and acceptance. The results further showed that the level of agreement on administrative decision-making has positive and significant relationship on System Sustainability and Development; Effectiveness of the program used as well as security system of Abu Dhabi Police General Headquarters. Artificial intelligence has become one of the main mechanisms that security sectors rely on in decision-making and represent the most important pillars of development that is indispensable under the changing strong competitions in the world of management, as the information and digital revolution cannot be overlooked and difficult to keep up with at the present time.

e19016 Background: Approximately 9,050 Americans gets diagnosed annually with Hodgkin's Lymphoma HL and approximately 1,150 dies each year from HL(1).Nodular Lymphocyte-predominant LP (NLPHL) represents 5% of HL (2). Mafraq Hospital is a tertiary hospital in Abu Dhabi, UAE, We suspected that we are seeing more than expected cases of NLPHL.Therefore, we carried a retrospective study to review all cases of HL seen at our oncology unit for the period from 01/01/2016 till 30/06/ 2018. Methods: We developed Excel data collection tool. After Ethics approval, Electronic Medical Records of all cases seen with the diagnosis of HL between 01/2016 and 06/2018 at Mafraq Hospital were reviewed. Results: Total of 47 case were collected. 8 cases (17%) were found to have NLPHL, The rest of cohort were 39 cases, 22 (57%) of them had nodular sclerosis HL, 4 cases (10%) mixed cellularity HL, 2 (5%) lymphocyte rich HL, no cases of lymphocyte depleted HL. 9 (23%) of cases were classical HL with no type as diagnosis was made from core biopsies. 2 cases (5%) unlisted type.The stage for the 42 case were as follows Stage I: 1 case = 2.3%, Stage II: 24 case = 57.1%Stage III: 11 case = 26.1%Stage IV: 6 cases = 14.2%. Conclusions: We saw 23 (49%) females and 24 (51%) males. Our hypothesis that NLPHL is more frequently seen in UAE seems to be correct as 17% of all HL cases seen were from this subtype. Mean age at diagnosis of all HL cases is 33 years. In the NLPHL there were 2 (25%) females and 6 (75%) males. Mean age at diagnosis for NLPHL is 31.8 years. Most HL patients received ABVD as first line regimen. This is documented in 38 out of 47 case. Mean overall survival registered at the closure of the study is 45 months. It is important that this overall survival is premature as no patient has relapsed or died.

Detailed, country‐specific epidemiological data are needed to characterize the burden of chronic hepatitis C virus (HCV) infection around the world. With new treatment options available, policy makers and public health officials must reconsider national strategies for infection control. In this study of 15 countries, published and unpublished data on HCV prevalence, viraemia, genotype, age and gender distribution, liver transplants and diagnosis and treatment rates were gathered from the literature and validated by expert consensus in each country. Viraemic prevalence in this study ranged from 0.2% in Iran and Lebanon to 4.2% in Pakistan. The largest viraemic populations were in Pakistan (7001000 cases) and Indonesia (3187000 cases). Injection drug use (IDU) and a historically unsafe blood supply were major risk factors in most countries. Diagnosis, treatment and liver transplant rates varied widely between countries. However, comparison across countries was difficult as the number of cases changes over time. Access to reliable data on measures such as these is critical for the development of future strategies to manage the disease burden.

The hepatitis C virus (HCV) epidemic was forecasted through 2030 for 15 countries in Europe, the Middle East and Asia, and the relative impact of two scenarios was considered: increased treatment efficacy while holding the annual number of treated patients constant and increased treatment efficacy and an increased annual number of treated patients. Increasing levels of diagnosis and treatment, in combination with improved treatment efficacy, were critical for achieving substantial reductions in disease burden. A 90% reduction in total HCV infections within 15 years is feasible in most countries studied, but it required a coordinated effort to introduce harm reduction programmes to reduce new infections, screening to identify those already infected and treatment with high cure rate therapies. This suggests that increased capacity for screening and treatment will be critical in many countries. Birth cohort screening is a helpful tool for maximizing resources. Among European countries, the majority of patients were born between 1940 and 1985. A wider range of birth cohorts was seen in the Middle East and Asia (between 1925 and 1995).

The total number, morbidity and mortality attributed to viraemic hepatitis C virus (HCV) infections change over time making it difficult to compare reported estimates from different years. Models were developed for 15 countries to quantify and characterize the viraemic population and forecast the changes in the infected population and the corresponding disease burden from 2014 to 2030. With the exception of Iceland, Iran, Latvia and Pakistan, the total number of viraemic HCV infections is expected to decline from 2014 to 2030, but the associated morbidity and mortality are expected to increase in all countries except for Japan and South Korea. In the latter two countries, mortality due to an ageing population will drive down prevalence, morbidity and mortality. On the other hand, both countries have already experienced a rapid increase in HCV‐related mortality and morbidity. HCV‐related morbidity and mortality are projected to increase between 2014 and 2030 in all other countries as result of an ageing HCV‐infected population. Thus, although the total number of HCV countries is expected to decline in most countries studied, the associated disease burden is expected to increase. The current treatment paradigm is inadequate if large reductions in HCV‐related morbidity and mortality are to be achieved.

Linear Endosonography has been used to image the Portal Venous System but no established standard guidelines exist. This article presents techniques to visualize the portal venous system and its tributaries by linear endosonography. Attempt has been made to show most of the first order tributaries and some second order tributaries of splenic vein, superior mesenteric vein and portal vein.