Nowadays, still images are used everywhere in the digital world. The shortages of storage capacity and transmission bandwidth make efficient compression solutions essential. A revolutionary mathematics tool, wavelet transform, has already shown its power in image processing. The major topic of this paper, is improve the compresses of still images by Multiwavelet based on estimation the high Multiwavelet coefficients in high frequencies sub band  by interpolation instead of sending all Multiwavelet coefficients. When comparing the proposed approach with other compression methods Good result obtained

Background: Diabetic maculopathy means involvement of the macula by edema and exudates or ischemia which is the most common cause of visual impairment in diabetic patients,
particularly those with type 2diabetes.
Objective: The literatures are rich in publications of these regards, nevertheless the works in general were not systematic, not enough details regarding procedures and dose
parameters in using laser for treatment are mentioned. "In the present work, an attempt to build a systematic procedure regarding dose parameters, application parameters and laser
safety."
Methods: A frequency doubled Nd: YAG laser was used to treat all eyes included in this study with diabetic maculopathy. Forty eyes of tw

Ziegler and Nichols proposed the well-known Ziegler-Nichols method to tune the coefficients of PID controller. This tuning method is simple and gives fixed values for the coefficients which make PID controller have weak adaptabilities for the model parameters variation and changing in operating conditions. In order to achieve adaptive controller, the Neural Network (NN) self-tuning PID control is proposed in this paper which combines conventional PID controller and Neural Network learning capabilities. The proportional, integral and derivative (K_P, K_I, K_D) gains are self tuned on-line by the NN output which is obtained due to the error value on the desired output of the system under control. The conventio

Corrosion Resistance Enhancement for low carbon steel is very important to extend its life service, the coating process is one of the methods which can using to achieve this, and it's the most important in surface treatments to improve the properties of metals and alloys surfaces such as corrosion resistance. In this work, low carbon steel was nitrided and coated with nano zinc using gas phase coating technical, to enhance the resistance of corrosion. The process included adding two layers. The first, a nitride layer, was added by precipitating nitrogen (N) gas, and the second, a zinc (Zn) layer, was added by precipitating Zn. The process of precipitating was carried out at different periods (5, 10, and 15 minutes). Scan electron mi

Graphite nanoparticles were successfully synthesized using mixture of H2O2/NH4OH with three steps of oxidation. The process of oxidations were analysis by XRD and optics microscopic images which shows clear change in particle size of graphite after every steps of oxidation. The method depend on treatments the graphite with H2O2 in two steps than complete the last steps by reacting with H2O2/NH4OH with equal quantities. The process did not reduces the several sheets for graphite but dispersion the aggregates of multi-sheets carbon when removed the Van Der Waals forces through the oxidation process.

Sol-gel method was use to prepare Ag-SiO2 nanoparticles. Crystal structure of the nanocomposite was investigated by means of X-ray diffraction patterns while the color intensity was evaluated by spectrophotometry. The morphology analysis using atomic force microscopy showed that the average grain sizes were in range (68.96-75.81 nm) for all samples. The characterization of Ag-SiO2 nanoparticles were investigated by using Scanning Electron Microscopy (SEM). Ag-SiO2 NPs are highly stable and have significant effect on both Gram positive and negative bacteria. Antibacterial properties of the nanocomposite were tested with the use of Staphylococcus aureus (S. aureus) and Escherichia coli (E. coli) bacteria. The results have shown antibacteri

In this study, effects of shisha smoking on some blood components were evaluated in (120) male adult mice. The animals were divided into four groups according to smoke types (cigarette, shisha, cigarette +shisha) in addition to control groups which exposed to fresh air only. A special inhalation chamber designed locally has been used to expose the animals. Exposed to cigarette smoke was done for 5 min/day while exposed to shisha smoke for 15 min /day /7days/weeks for 4,8,12 weeks. Blood samples were collected to evaluate some hematological variables. The results showed that RBC, WBC count, Hb, PCV, differential leukocyte (Lymphocyte, Monocyte, Neutrphils) were significantly high (P≤0.001) in groups which exposed to shisha smoke as comp

Fifty  isolates   of  Psel.ldomonas  aeruginosa were  obtained   from

(170)  isoiates  of ctlinical cases. Sensitivity  of the isolates t()  antibiotic leveled   showed   a   high   resistance    to   cefotaxime,  ceftazidime, gentamicin  and  tobramycin.  To  less  extent   was  the  resistance   to· amikacin  and  ciprofloxacine.  All isolates of        Pseudomonas aeru,ginosa were highly sensitive  tocefepime and imipenem.

Eighty six  perce

     The aim of this paper is to study the nonlinear delay second order eigenvalue problems which consists of delay ordinary differential equations, in fact one of the expansion methods that is called the least square method which will be developed to solve this kind of problems.

With the continuous downscaling of semiconductor processes, the growing power density and thermal issues in multicore processors become more and more challenging, thus reliable dynamic thermal management (DTM) is required to prevent severe challenges in system performance. The accuracy of the thermal profile, delivered to the DTM manager, plays a critical role in the efficiency and reliability of DTM, different sources of noise and variations in deep submicron (DSM) technologies severely affecting the thermal data that can lead to significant degradation of DTM performance. In this article, we propose a novel fault-tolerance scheme exploiting approximate computing to mitigate the DSM effects on DTM efficiency. Approximate computing in hardw