Factors affecting e-government adoption in the state of Qatar

Electronic government (e-government) initiatives are in their early stages in many developing countries and faced with various issues pertaining to their implementation, adoption and diffusion. Although e-government has increased transparency and improved communication and access to information for citizens, digital diffusion of information is often achieved at high cost to government agencies. Conversely, citizens’ adoption of e-government services has been less than satisfactory in most countries. While studies by researchers continue to outline the most salient adoption constructs, as well as various frameworks and models for understanding adoption, research by independent consultancy/research organisations has produced a host of statistics and league tables of good and bad practices of service delivery. Like many other developing countries, the e-government initiative in the state of Qatar has faced a number of challenges since its inception in 2000. This study utilises the Unified Theory of Acceptance and Use of Technology (UTAUT) to explore the adoption of e-government services in the state of Qatar. 1179 citizens were surveyed to collect primary data. A regression analysis was conducted to examine the influence of the factors adapted from the UTAUT on e-government adoption. Reliability test reported values of the various constructs vary between (0.74) and (0.91). The findings reveal that effort expectancy and social influences determine citizens’ behavioural intention towards e-government. Additionally, facilitating conditions and behavioural intention were found to determine citizens’ use of e-government services in Qatar. Implications for practice and research are discussed

E-government adoption in Qatar: An investigation of the citizens' perspective

Electronic government (e-government) initiatives are in their early stages in many developing countries and faced with various issues pertaining to their implementation, adoption and diffusion. Like many other developing countries, the e-government initiative in the state of Qatar has faced a number of challenges since its inception in 2000. Using a survey based study this paper describes citizens‟ behavioural intention and adoption in terms of applying and utilising the Unified Theory of Acceptance and Use of technology (UTAUT) model to explore the adoption and diffusion of e-government services in the state of Qatar. A regression analysis was conducted to examine the influence of e-government adoption factors and the empirical data revealed that performance expectancy, effort expectancy, and social influences determine citizens‟ behavioural intention towards e-government. Moreover, facilitating conditions and behavioural intention were found to determine citizens‟ use of e-government services in the state of Qatar. Implications for practice and research are discussed

Objective assessment of tumor infiltrating lymphocytes as a prognostic marker in melanoma using machine learning algorithms

BACKGROUND The prognostic value of tumor-infiltrating lymphocytes (TILs) assessed by machine learning algorithms in melanoma patients has been previously demonstrated but has not been widely adopted in the clinic. We evaluated the prognostic value of objective automated electronic TILs (eTILs) quantification to define a subset of melanoma patients with a low risk of relapse after surgical treatment. METHODS We analyzed data for 785 patients from 5 independent cohorts from multiple institutions to validate our previous finding that automated TIL score is prognostic in clinically-localized primary melanoma patients. Using serial tissue sections of the Yale TMA-76 melanoma cohort, both immunofluorescence and Hematoxylin-and-Eosin (H&E) staining were performed to understand the molecular characteristics of each TIL phenotype and their associations with survival outcomes. FINDINGS Five previously-described TIL variables were each significantly associated with overall survival (p<0.0001). Assessing the receiver operating characteristic (ROC) curves by comparing the clinical impact of two models suggests that etTILs (electronic total TILs) (AUC: 0.793, specificity: 0.627, sensitivity: 0.938) outperformed eTILs (AUC: 0.77, specificity: 0.51, sensitivity: 0.938). We also found that the specific molecular subtype of cells representing TILs includes predominantly cells that are CD3+ and CD8+ or CD4+ T cells. INTERPRETATION eTIL% and etTILs scores are robust prognostic markers in patients with primary melanoma and may identify a subgroup of stage II patients at high risk of recurrence who may benefit from adjuvant therapy. We also show the molecular correlates behind these scores. Our data support the need for prospective testing of this algorithm in a clinical trial. FUNDING This work was also supported by a sponsored research agreements from Navigate Biopharma and NextCure and by grants from the NIH including the Yale SPORE in in Skin Cancer, P50 CA121974, the Yale SPORE in Lung Cancer, P50 CA196530, NYU SPORE in Skin Cancer P50CA225450 and the Yale Cancer Center Support Grant, P30CA016359

Factors affecting e-Government implementation and adoption in the State of Qatar

Electronic government (e-government) has established as an effective mechanism for increasing government productivity and efficiency and a key enabler of citizen-centric services. However, e-government implementation is surrounded by organisational, technological, political and social issues, which have to be considered and treated carefully in order to facilitate this change. Conversely, from an adoption perspective, e-government services are yet to be universally accepted as a medium for accessing online public services since its inception more than a decade ago. In terms of prior research into understanding the implementation challenges and adoption factors, most existing literature focus into either the implementation context or adoption context separately and no research studies were found that take a holistic viewpoint of both implementation and adoption. Furthermore, only a few researchers have explored and reflected on the important factors that can impact e-government implementation using well founded theoretical models or frameworks. Besides, there is no universal model for e-government implementation and adoption that is applicable for all countries to ensure success, especially for developing and Gulf Cooperation Countries (GCC). Therefore, this thesis attempts to explore and investigate the key challenges that influence e-government implementation and the factors influencing citizen adoption in the state of Qatar. By simultaneously analysing and aligning the implementation issues of e-government with the adoption aspects, this study aimed to develop a better understanding of the gaps that exists between implementation and adoption. Through combining the implementation and adoption aspects of e-government, this thesis proposes a unified conceptual model which could be used as a frame of reference by government institutions that seek to implement and diffuse e-government systems in Qatar. To do so, the research draws from two well established theoretical models, Institutional Theory (for understanding implementation) and the Unified Theory of Acceptance and Use of Technology (UTAUT) model (for understanding adoption). The research adopted a multi-method approach [combining qualitative (interviews) and quantitative (survey) methods] to explore practices and experiences of implementing and adopting e-government systems in the State of Qatar.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Validation of the Antiproliferative Effects of Organic Extracts from the Green Husk of Juglans regia L. on PC-3 Human Prostate Cancer Cells by Assessment of Apoptosis-Related Genes

With the increased use of plant-based cancer chemotherapy, exploring the antiproliferative effects of phytochemicals for anticancer drug design has gained considerable attention worldwide. This study was undertaken to investigate the effect of walnut green husk extracts on cell proliferation and to determine the possible molecular mechanism of extract-induced cell death by quantifying the expression of Bcl-2, Bax, caspases-3, and Tp53. PC-3 human prostate cancer cells. In this study, we found that green husk extracts suppressed proliferation and induced apoptosis in a dose- and time-dependent manner by modulating expression of apoptosis-related genes. This involved DNA fragmentation (determined by TUNEL assay) and significant changes in levels of mRNA and the expression of corresponding proteins. An increase in expressions of Bax, caspase-3, and tp53 genes and their corresponding proteins was detected using real-time PCR and western blot analysis in PC-3 cells treated with the green husk organic extracts. In contrast, Bcl2 expression was downregulated after exposure to the extracts. Our data suggest the presence of bioactive compound(s) in walnut green husks that are capable of killing prostate carcinoma cells by inducing apoptosis and that the husks are a candidate source of anticancer drugs

Co-occurrence of antibiotic and disinfectant resistance genes in extensively drug-resistant Escherichia coli isolated from broilers in Ilorin, North Central Nigeria

Objectives: The occurrence of multidrug-resistant (MDR) bacteria in poultry poses the public health threat of zoonotic transmission to humans. Hence, this study assessed the occurrence of drug-resistant Escherichia coli in broilers in the largest live bird market in Kwara State, Nigeria in December 2020. Methods: Presumptive E. coli isolates were isolated using the European Union Reference Laboratory guideline of 2017 and confirmed via matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF/MS). Broth microdilution was performed on confirmed E. coli isolates to determine the minimum inhibitory concentration. Five extensively drug-resistant (XDR) isolates were selected for Illumina whole genome sequencing to predict the resistome, phylotype, sequence type, serotype, and diversity of mobile genetic elements in these isolates. Results: Of the 181 broiler caecal samples, 73 E. coli isolates were obtained, of which 67 (82.0%) and 37 (50.6%) were determined as MDR (resistant to at least three classes of antibiotics) and XDR (resistant to at least five classes of antibiotics), respectively. Whole genome sequencing revealed diverse sequence types, phylogroups, and serotypes (ST165/B1 - O80:H19, ST115/A - Unknown: H7, ST901/B1 - O109:H4, ST4087/F - O117:H42, and ST8324/A - O127:H42). The XDR E. coli isolates encoded resistance to fluoroquinolones, fosfomycin, sulfamethoxazole, ampicillin and cephalosporins, trimethoprim, aminoglycosides, chloramphenicol, tetracycline, and macrolides. Mutations in the gyr A gene conferring resistance to fluoroquinolones were also detected. There was a positive correlation between phenotypic resistance patterns and the antibiotic resistance genes that were detected in the sequenced isolates. The XDR isolates also harbored two disinfectant resistance genes ( qac E and sit ABCD) that conferred resistance to hydrogen peroxide and quaternary ammonium compounds, respectively. The genome of the XDR isolates harbored several mobile genetic elements and virulence-associated genes, which were conserved in all sequenced XDR isolates. Conclusions: This is the first report of co-carriage of antibiotic resistance genes and disinfectant resistance genes in E. coli isolated from broilers in Ilorin, Nigeria. Our findings suggest that poultry are potential carriers of clonally diverse, pathogenic, MDR/XDR E. coli, which may have detrimental zoonotic potentials on human health. (c) 2022 The Author(s). Published by Elsevier Ltd on behalf of International Society for Antimicrobial Chemotherapy. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )Peer reviewe

Antioxidant and hepatorenal protective effects of bee pollen fractions against propionic acid‐induced autistic feature in rats

In the brain, propionic acid (PA) can cross cell membranes and accumulate within cells, leading to intracellular acidification, which may alter neurotransmitter release (NT), communication between neurons, and behavior. Such elevation in levels of PA constitutes a neurodevelopmental metabolic disorder called propionic acidemia, which could clinically manifest as autism. The purpose of this study was to investigate the protective effects of different fractions of bee pollen (BP) on PA‐induced autism in rats, and to evaluate their effects on the expression of liver and renal biomarkers. Groups of rats received treatments of different fractions of BP at a dose of 250 mg/kg of body weight/day for a period of 1 month. Normal control group I and group II were orally administered with phosphate‐buffered saline and propionic acid, respectively, for 3 days. BP contains various health‐promoting phenolic components. Different fractions of BP administered pre‐ and post‐treatment with PA showed significant reduction in the levels of liver and renal biomarkers (p < .05). Also, a significant enhancement in the levels of glutathione S‐transferase (GST), catalase CAT), and ascorbic acid (VIT C) was observed. Supplementation with BP significantly reduced biochemical changes in the liver, kidneys, and brain of rats with PA‐induced toxicity. It exhibited protective effects against oxidative damage and reactive oxygen species produced by PA‐induced adverse reactions in rats. Taken together, our study shows that BP possesses protective effects in PA‐induced liver and kidney damage

Protective Equipments of a Substation and Power Factor Improvement

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