AN ECONOMETRIC STUDY OF THE PRESENT AND FUTURE EFFECT OF INFLATION ON ECONOMIC GROWTH IN EGYPT

Inflation is meant the overall and continuing rise in prices by the impact of internal or external variables, produced by excess demand about supply capacity. Problem of the study: The Egyptian economy has a decline in overall economic indicators, most importantly is the overall growth rate, compared with a rise in inflation, poverty, unemployment, the low production and the continuing deficit in the trade balance, and in general budget, which are negative indicators for the Egyptian economy. Therefore, the study is trying to explain and study the problem of inflation, its direct and indirect effects on overall growth rates in the Egyptian economy. Research Objectives: Identify the reality of growth rate in the Egyptian economy; identify what are inflation types and methods of measurement, measuring interaction relationships between both of inflation rates and growth rates in the Egyptian economy, determine factors afficting of both inflation and growth rates in Egypt, to work on indirect effect in these phenomena by afficting on those factors.   Results and recommendations   1-To study the effect of the most important variables of affected GDP at current and real prices in Egypt during the period (2003-2014): It turns out that study variables give effects on growth rate in real GDP at real prices consistent with economic logic, on the contrary effects of the growth rate of GDP at current prices. 2- Study interrelationships between the local annual growth rate at real and current prices and the annual inflation rate in Egypt during the period (2003-2014): It was concluded that data will be relied on real growth rate of GDP in its relations with inflation, where it is more logical from the economic point of view than the results of the GDP growth rate of GDP at current prices. 3- The relation between the inflation rate and growth rate GDP in real terms is negatively slope. 4- The results of the current economic model show that: The most important factors affecting in inflation rate and real growth rate in GDP are: First: Annual inflation rate in consumer prices (X2), it has a negative significant statistically effect for both of annual growth rate of GDP at real prices% (X6), net cash reserve (X8), and the balance of current transactions and transfers (X13). And positive significant statistically effect for both of exchange rate of the dollar declared by the Central Bank (X10), and and the total surplus (deficit) (X21). Second: Annual growth rate of GDP at real prices% (X6), it has a negative effect from, annual inflation rate in consumer prices (X2), and the exchange rate of the dollar announced by the Central Bank (X10), while the effect was statistically significant positive for both of, net cash reserve (X8), and the total surplus (deficit) (X21). 5- Best method to forcast the main variables under study of inflation rate and the real growth rate of GDP is the use of the simutianeous equation model it takes into consideration all external variables affecting the internal variables under study. It was reached by forcasting both of the Inflation rates and real GDP growth rates, that the policies followed by floating exchange rate, which requires an impact on all variables to the hoped results of the floating of the Egyptian pound.   Therefore research recommends: to re-enter the Central Bank for determining the exchange rate of the Egyptian pound against other currencies, not directly to the currency exchange rate, but by indirect intervention through supply and demand control of the currency in Egyptian market against other currencies, by intervening in the market by selling and buying direct from banks, in addition to moving external variables affecting both inflation and real growth rates in Egypt to able to reach the resalts of simulitanuos equation model which takes into account all external variables related to the study variables

Theoretical and Experimental Analysis of Electromagnetic Variable Valve Timing Control Systems for Improvement of Spark Ignition Engine Performance

Paper No. 1000105. The objective of this paper is to meet the requirements of higher torque values at all engine speeds. This can be achieved by varying the valve timing automatically using a new variable valve timing system (VVT), which gives continuously variable valve actuation at all engine speeds. A model engine is designed using dimensional analysis methods and then implemented to verify the proposed control system. Moreover, microcontroller and computer-aided control systems are constructed and used to modify the variable valve timing control in the laboratory. In this paper, a mathematical model of variable valve timing is developed to obtain the best volumetric efficiency with optimum valve timing at different engine speeds. From this model, the look-up table is created at all ranges of the engine speed. A single cylinder engine is used to estimate engine performance characteristics for conventional camshaft. In addition, a model engine is designed and constructed to apply the Variable Valve Timing control system. The investigations show that the system is flexible throughout the entire range of operation speeds and is able to alter valve timing concerning both valve opening and closing. The ability of valve opening and closing can be realized with rates higher than these of the conventional timing mechanisms

Menuju syariat islam kaffah:pikiran dan pengalaman santri Aceh dalam menuntut ilmu dan hubungannya dengan perbuatan nyata

204 hlm.:21 cm

Evaluation of Serum Biomarkers and Electroencephalogram to Determine Survival Outcomes in Pediatric Post-Cardiac-Arrest Patients

Cardiac arrest causes primary and secondary brain injuries. We evaluated the association between neuron-specific enolase (NSE), serum S-100B (S100B), electroencephalogram (EEG) patterns, and post-cardiac arrest outcomes in pediatric patients. A prospective observational study was conducted in the pediatric intensive care unit and included 41 post-cardiac arrest patients who underwent EEG and serum sampling for NSE and S100B. The participants were aged 1 month to 18 years who experienced cardiac arrest and underwent CPR after a sustained return of spontaneous circulation for ≥48 h. Approximately 19.5% (n = 8) of patients survived until ICU discharge. Convulsions and sepsis were significantly associated with higher mortality (relative risk: 1.33 [95% CI = 1.09–1.6] and 1.99 [95% CI = 0.8–4.7], respectively). Serum NSE and S100B levels were not statistically associated with the outcome (p = 0.278 and 0.693, respectively). NSE levels were positively correlated with the duration of CPR. EEG patterns were significantly associated with the outcome (p = 0.01). Non-epileptogenic EEG activity was associated with the highest survival rate. Post-cardiac arrest syndrome is a serious condition with a high mortality rate. Management of sepsis and convulsions affects prognosis. We believe that NSE and S100B may have no benefit in survival evaluation. EEG can be considered for post-cardiac arrest patients

Urinary podocin level as a predictor of diabetic kidney disease

Background: Albuminuria showed to be a deteriorating condition in diabetic kidney disease (DKD) associated with high morbidity and mortality. A need for a novel marker for early detection of DKD development and progression becomes mandating. Objective: To study the clinical value of urinary podocin as an early marker of diabetic kidney disease and its association with severity of the disease. Patients and Methods: This study included 45 individuals with type 2 DM whose GFR >60 mL/min/1.73 m2 , recruited from Ain Shams University Hospital, Cairo, Egypt. Patients were further divided into three groups according to urinary albumin/creatinine ratio (ACR). In addition to, ten healthy volunteers serving as the control group was enrolled in the study. Routine chemistry including serum creatinine, fasting blood glucose (FBG), HbA1c, albumin, lipid profile, urine analysis, ACR and urinary podocin quantification were conducted for all participants (by ELISA method). Results: Podocin was higher in patients with ACR <30 mg/g, ACR 30-299 mg/g and ACR ≥ 300 mg/g versus healthy controls, respectively (P<0.001). Both GFR and serum albumin showed highly significant negative correlations with urinary podocin. Significant positive correlations were detected between urinary podocin with blood urea nitrogen (BUN), serum creatinine, FBG, HbA1c, cholesterol, and triglyceride levels. Conclusions: Urinary podocin is assumed to be a promising marker for early DKD detection in type 2 DM patients