896 research outputs found

    On the Impact of Financial Inclusion on Financial Stability and Inequality: The Role of Macroprudential Policies

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    Financial Inclusion - access to financial products by households and firms - is one of the main albeit challenging priorities, both for Advanced Economies (AEs) as well as Emerging Markets (EMs), even more so for the latter. Financial inclusion facilitates consumption smoothing, lowers income inequality, enables risk diversification, and tends to positively affect economic growth. Financial stability is another rising priority among policy makers. This is evident in the re-emergence of macroprudential policies after the global financial crisis, minimizing systemic risk, particularly risks associated with rapid credit growth. However, there are significant policy tradeoffs that could exist between both financial inclusion and financial stability, with mixed evidence on the link between the two objectives. Given the importance of macroprudential policies as a toolbox to achieve financial stability, we examine the impact of macroprudential policies on financial inclusion - a potential cause for financial instability if not carefully implemented. Using panel regressions for 67 countries over the period 2000-2014, our results point to mixed effects of macroprudential policies. The usage (and tightening) of some tools, such as the debt-to-income ratio, appear to reduce financial inclusion whereas others, such as the required reserve ratio (RRR), increase it. Specifically, both institutional quality and financial development appear to increase the effectiveness of macroprudential policies on financial inclusion. Institutional quality helps macroprudential policies boost financial inclusion, with mixed effects as a result of financial development, but the results are more significant when we include either institutional quality or financial development. This leads us to believe that macroprudential policies conditional on better institutional quality and financial development improves financial inclusion. This has important policy implications for financial stability

    Cloud Computing Solution for Monitoring Arid Rangeland Dynamics: Case of Moroccan Highlands and Southern Acacia Ecosystems

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    The wide availability of free satellite imagery, the recent development of cloud platforms dedicated to big spatial data (Big Data) that integrates both image archives from different providers, processing algorithms, distributed processing capabilities as well as an application programming interface (API) that facilitate scripting and automation process opened new perspectives for the use of vegetation observation time series over long timestamps and over large spatial scales (almost planetary). This work aims at harnessing these technologies and building up an automated solution to monitor rangeland rehabilitation dynamics in arid lands and to assess the effectiveness of stakeholder’s management strategies. Such solution is based on graphical user interface that facilitate the process and on the use of analysis functions relaying on analysing temporal trajectories (time series) of different spectral indices derived from satellite images (Landsat or Sentinel) at the required spatial analysis scale. The solution is implemented using java script as scripting language using the functions offered by GEE API. The graphical user interface of the first prototype is exploitable by the means of a standard web browser and it is accessible even to people without any background in regard to programming languages or to remote sensing skills. The process was tested for two arid sites on Morocco: acacia ecosystems on the southern part of Morocco and the highlands on Moroccan eastern parts mainly on sites recently rehabilitated. It has been qualified is promising solution

    A Comprehensive Study of Egyptian Arabic v. 2

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    http://deepblue.lib.umich.edu/bitstream/2027.42/94561/1/39015087418565.pd

    A Comprehensive Study of Egyptian Arabic v. 4

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    http://deepblue.lib.umich.edu/bitstream/2027.42/94563/1/39015087418581.pd

    Calculation of the energy spectrum of a two-electron spherical quantum dot

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    We study the energy spectrum of the two-electron spherical parabolic quantum dot using the exact Schroedinger, the Hartree-Fock, and the Kohn-Sham equations. The results obtained by applying the shifted-1/N method are compared with those obtained by using an accurate numerical technique, showing that the relative error is reasonably small, although the first method consistently underestimates the correct values. The approximate ground-state Hartree-Fock and local-density Kohn-Sham energies, estimated using the shifted-1/N method, are compared with accurate numerical self-consistent solutions. We make some perturbative analyses of the exact energy in terms of the confinement strength, and we propose some interpolation formulae. Similar analysis is made for both mean-field approximations and interpolation formulae are also proposed for these exchange-only ground-state cases.Comment: 18 pages, LaTeX, 2 figures-ep

    Spirulina Ameliorates Oxidative Damage and Inflammation in Rotenone-Induced Neurotoxicity in Male Mice

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    Background: Rotenone, a chemical compound produced naturally by leguminous plants, has conventionally been used as a pesticide by blocking the uptake of oxygen by body cells. Our study aimed to investigate the effect of spirulina on oxidative damage, inflammation, and neurotoxicity in male mice treated by rotenone.Methods: The experimental animals were divided into 5 groups. Group (I) served as control that received Dimethyl Sulfoxide (DMSO); Group (II) mice treated with rotenone (1.5 mg/kg, s.c.3 times per week); Group (III) mice received rotenone/L-dopa (25 mg/kg, P.O. daily); Group (IV) and Group (V) mice were treated with rotenone/spirulina (200 and 400 mg/kg, P.O. daily) respectively for two weeks.Results: Rotenone-treated mice indicated impaired motor coordination and activity in wire hanging, wood walking, open field, and stair tests. Furthermore, rotenone treatment caused elevation in striatal levels of Malondialdehyde (MDA), Nitric Oxide (NO), Tumor Necrosis Factor (TNF-α), Interleukin -1 beta (IL-1β), and caspase 3 and decrement in Bcl-2; dopamine and Glutathione (GSH) levels. Moreover, severe neuronal degeneration, striatal DNA fragmentation, and increased striatal 8-OHdG levels and MTH1 expression in the rotenone group. Additionally, spirulina treatment prevented rotenone-induced motor deficits striatal DNA fragmentation and demonstrated good restoration of the substantial neurons with reservation of the typical dark appearance. Besides, rotenone-induced biochemical changes were ameliorated by spirulina treatment as dopamine, Bcl-2, and GSH levels were increased, and striatal MDA, TNF-α, IL-1β, and caspase 3 levels were decreased.Conclusion: Natural products like spirulina could reverse rotenone-induced neurotoxicity in male mice due to their anti-inflammatory and antioxidant properties

    Over-expression of β-catenin is associated with high grade of prostatic cancer in Libyan patients

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    Objectives: At present, sufficient prognostic markers for prostate cancer (PCa) progression are still lacking, in spite of thorough investigation. The aim of this study was to evaluate abnormalities of β-catenin protein expression, subcellular localization and determine its relation to different clinicopathological features anddisease free survival in prostate cancer patients.Patients and methods: Forty prostate cancer specimens, obtained from patients with different stages of prostate cancer (83% stage IV) who underwent a radical prostatectomy or TURP flanked by 2006 and 2011, β-catenin was determined by immuno-histochemistry (IHC). The membranous expression was semi- quantitatively evaluated in four scores (0, 1+, 2+, 3+). Clinical records of these patients were studied for follow up data.Results: β-Catenin immune staining results show over-expression of β-catenin in PCa Libyan patients. There was no statistically significant difference in β-catenin immune expression as regards histopathological type, perineural invasion, tumor stage, biological recurrence. However, β-catenin over-expression showed significant correlation with old age (p < 0.014).Conclusions: We concluded that changes in expression and cell distribution of β-catenin correlated with the progression degree of prostate adenocarcinoma, signifying a role of this molecule as a marker of progression and prognosis. Further investigations, on a larger and more heterogeneous population, should be carried out to validate and extend our results.Keywords: Prostate cancer; β-Catenin expression; Immuno-histochemistry; Gleason score; Prognosi

    Protein Energy Wasting in a Sample of Egyptian Children on Regular Hemodialysis: Relation to Anorexigenic Hormones

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    BACKGROUND: Increased incidence of pediatric end-stage renal disease (ESRD) with associated serious consequences indicating a major public health problem. Malnutrition and uremic wasting are leading causes of growth impairment and increasing morbidity and mortality of pediatric ESRD patients, predominantly those on regular hemodialysis (HD). Ghrelin and obestatin, which are known appetite regulatory hormones, might have a pivotal role in uremic wasting and growth impairment in hemodialyzed children. AIM: The aim of the present study was to measure serum unacylated ghrelin (UAG) and obestatin and to investigate their roles in the growth impairment of Egyptian hemodialyzed children. SUBJECTS AND METHODS: The study included 50 hemodialyzed and 40 healthy children recruited from the Department of Nephrology, Pediatric Hospital, Ain Shams University. Full clinical examination and measurement of anthropometric indices were done. Routine labs were done as well, with an assessment of serum levels of obestatin, UAG, and insulin by enzyme linked immunosorbent assay. Furthermore, we determined fasting serum glucose and lipid profile with the calculation of homeostasis model assessment for insulin resistance (HOMA-IR). RESULTS: Anthropometric measurements were statistically significantly decreased in the hemodialyzed group than that of the control group (p < 0.05). Weight z-score was the most affected anthropometric parameter (37 patients = 74% with underweight and 13 patients = 26% with normal weight). The hemodialyzed children showed a significant increase of UAG, obestatin, insulin, glucose, HOMA-IR, and TG, while a significant decrease of HDL-cholesterol and albumin (p < 0.01). UAG had a negative correlation with Wt-z score, Ht z-score, fat mass %, albumin, and TG while obestatin was inversely correlated to Wt-z score, BMI z-score, waist circumference, and waist-height ratio (W/H). CONCLUSION: UAG and obestatin hormones were elevated in a group of Egyptian children on regular HD. These hormones were strongly related to the impairment of renal functions, and anthropometric parameters, dyslipidemia, hypoalbuminemia, and insulin resistance in these pediatric hemodialyzed patients

    Analysis of Intracellular State Based on Controlled 3D Nanostructures Mediated Surface Enhanced Raman Scattering

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    Near-infrared surface-enhanced Raman spectroscopy (SERS) is a powerful technique for analyzing the chemical composition within a single living cell at unprecedented resolution. However, current SERS methods employing uncontrollable colloidal metal particles or non-uniformly distributed metal particles on a substrate as SERS-active sites show relatively low reliability and reproducibility. Here, we report a highly-ordered SERS-active surface that is provided by a gold nano-dots array based on thermal evaporation of gold onto an ITO surface through a nanoporous alumina mask. This new combined technique showed a broader distribution of hot spots and a higher signal-to-noise ratio than current SERS techniques due to the highly reproducible and uniform geometrical structures over a large area. This SERS-active surface was applied as cell culture system to study living cells in situ within their culture environment without any external preparation processes. We applied this newly developed method to cell-based research to differentiate cell lines, cells at different cell cycle stages, and live/dead cells. The enhanced Raman signals achieved from each cell, which represent the changes in biochemical compositions, enabled differentiation of each state and the conditions of the cells. This SERS technique employing a tightly controlled nanostructure array can potentially be applied to single cell analysis, early cancer diagnosis and cell physiology research
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