The research aims to develop and build a plasma jet system operating under atmospheric pressure.for biological purposes. The advanced plasma system consists of a power supply and a plasma torch. The source of the development of the system is a previous laboratory system that was developed by changing the voltage and frequency of the power supply, as the power provider equips the system with a voltage in the form of a sine wave whose value is fixed at about (7.5kV) peak to peak and its frequency is about (28 kHz). The plasma torch consists of a teflon tube with of width of (10 m ) located at (10mm) from the end of the tube. The current waveform and voltage wave were measured using a current and voltage sensor and an oscilloscope. The plasma jet was characterized. Electron temperature and electron density vary with the gas flow rate; the length of the plasma jet depends on the flow rate of argon gas, and the best length of jetting plasma was (1.5 cm) at a flow rate of (2.5 l/min). The gas temperature was measured by an infrared thermometer at a constant flow rate of (2.5 l/min) which is (18°C) after 15 minutes of irradiation. From these results, it was concluded that the developed plasma is suitable for biological applications.
Calculation of the power density of the nuclear fusion reactions plays an important role in the construction of any power plants. It is clear that the power released by fusion reaction strongly depended on the fusion cross section and fusion reactivity. Our calculation concentrates on the most useful and famous fuels (Deuterium-tritium) since it represents the principle fuels in any large scale system like the so called tokomak.
The first successful implementation of Artificial Neural Networks (ANNs) was published a little over a decade ago. It is time to review the progress that has been made in this research area. This paper provides taxonomy for classifying Field Programmable Gate Arrays (FPGAs) implementation of ANNs. Different implementation techniques and design issues are discussed, such as obtaining a suitable activation function and numerical truncation technique trade-off, the improvement of the learning algorithm to reduce the cost of neuron and in result the total cost and the total speed of the complete ANN. Finally, the implementation of a complete very fast circuit for the pattern of English Digit Numbers NN has four layers of 70 nodes (neurons) o
... Show MoreThe first successful implementation of Artificial Neural Networks (ANNs) was published a little over a decade ago. It is time to review the progress that has been made in this research area. This paper provides taxonomy for classifying Field Programmable Gate Arrays (FPGAs) implementation of ANNs. Different implementation techniques and design issues are discussed, such as obtaining a suitable activation function and numerical truncation technique trade-off, the improvement of the learning algorithm to reduce the cost of neuron and in result the total cost and the total speed of the complete ANN. Finally, the implementation of a complete very fast circuit for the pattern of English Digit Numbers NN has four layers of 70 nodes (neurons) o
... Show MoreBackground: Many reports demonstrated an increase in low birth weight in the past three decades. This work was carried out to study the prevalence of low birth weight and its determinants among neonates delivered in Baghdad, Iraq.
Materials: A total of 400 singleton newborns delivered at two hospitals in Baghdad city during 15th June to 15th Nov. 2003 were included in the study.
Results: Half of the neonates were born with low birth weight. Out of the low birth weight neonates, there were 83% preterm neonates. Prevalence of low birth weight neonates was significantly associated with maternal age, age at marriage, parity, and anaemia.
Conclusion: This study indicates that the most appropriate approa
Background: Gliomas are brain tumours of supporting tissue of the brain. The management of low grade glioma is still a great debate ranges from just follow up to extensive surgery followed by DXT, with or without chemothery.
Patients and Methods: 282 patients taken from neuro-surgical hospital between 1980-1990, divided to 3 groups with different modality of management & follow up for 15 years.
Results: the five years survival and symptomatic improvement was higher in the group managed by extensive surgery and DXT with or without cytoxic drugs followed by group managed by biopsy and DXT with or without cytoxic.
Conclusion: management of low grade glioma symptoms & out come (survival) is best by extensive surgery & DX
Numerical simulation of charge density produced in plasma actuators is dependent upon the development of models dealing with electrical properties. The main aim of this work is to investigate the characteristics surface charge density and space charge density of DBD plasma actuator. A simple design of surface dielectric barrier discharge plasma actuator is used in the study. The discharge gas was N2:H2 mixture with applied voltage equal to 1.5 kV. A theoretical plasma model is used to establish the charge density details. Results show that surface charge density increased in value and spread in width alone the exposed electrode as the voltage increased and reached to the amplitude value.
All the stiffened and unstiffened elastic constants for lead germanate (Pb5Ge3O11) single
crystal have been measured from room temperature 298 K up to 513K by using ultrasonic
pulse superposition technique. The correction of piezoelectric stiffening has been used to
obtain the unstiffened elastic constants. Elastic moduli of lead germanate (C11, C33, C12, C13,
C44 and C66) decrease with the increase of temperature. C11, C33, C
12 and C13 suffered a dip at
transition temperature but they increase with the increase of temperature just above Curie
temperature between 453 and 473 K because of their positive temperature coefficients in this
range, and then decrease slightly (except C12 increases) in the
In this work, the dynamic behavior of discrete models is analyzed with Beverton- Holt function growth . All equilibria are found . The existence and local stability are investigated of all its equilibria.. The optimal harvest strategy is done for the system by using Pontryagin’s maximum principle to solve the optimality problem. Finally numerical simulations are used to solve the optimality problem and to enhance the results of mathematical analysis