PROSTATE VAPORIZATION BY DIODE LASER FOR PATIENTS WITH BENIGN PROSTATIC ENLARGEMENT

Objectives: The objectives of this study were to study the efficacy of diode laser prostatectomy in patients infected with benign prostatic enlargement.Methods: A total of 62 men were included in our prospective clinical study from August 2017 to January 2018. The size of their prostates (ml) was ranged from 38 to 65, digital rectal examination for all patients was revealed the features of benign prostatic enlargement, prostate-specific antigen was ranged from 0.3 to 14 ng/ml, underwent laser prostatectomy (Diode laser).Results: The study included 62 men with 67.82±7.57 years. After the operation, the median maximum flow rate (Qmax) was increased 11–22 ml/s and the increment was highly significant (p<0.001), and median international prostate symptom score was highly significantly reduced from 19 to 10 (p<0.001). In addition, median residual volume was highly significantly reduced from 169.5 to 77 ml (p<0.001). Mean duration of operation was 67.82±7.57 min. The duration of catheterization with a mean of 1.16±0.45 days. Most patients required only 1 day of hospital stay postoperatively. No one developed post-operative bleeding, erectile dysfunction was reported in a single patient (1.6%), urinary incontinence in one patient (1.6%), and urinary tract infection was the most frequent post-operative complication being reported in 11.3%.Conclusion: Diode laser for the treatment of prostate is easily applicable, cheap and provides good ablation with low morbidity

Preparation, Characterization, and Photocatalytic Applications of MWCNTs/TiO2 Composite

The multiwall carbon nanotubes (MWCNTs)/titanium dioxide (P25) composite in different ratios was prepared using simple evaporation and drying process. The composite was characterized by Raman spectroscopy, X-ray diffraction (XRD), UV-visible diffuse reflectance spectroscopy, and scanning electron microscopy (SEM). The photocatalytic activity of this composite was investigated using degradation of the Bismarck brown R dye (BBR). An optimal MWCNTs/TiO2 ratio of 0.5% (w/w) was found to achieve the maximum rate of BBR degradation. It was observed that the composite exhibits enhanced photocatalytic activity compared with TiO2. The enhancement in photocatalytic activity performance of the MWCNTs/P25 composite is explained in terms of recombination of photogenerated electron-hole pairs. In addition, MWCNTs act as a dispersing support to control the morphology of TiO2 particles in the MWCNTs/TiO2 composite

Analytical and numerical assessment of the effect of highly conductive inclusions distribution on the thermal conductivity of particulate composites

Highly conductive composites have found applications in thermal management, and the effective thermal conductivity plays a vital role in understanding the thermo-mechanical behavior of advanced composites. Experimental studies show that when highly conductive inclusions embedded in a polymeric matrix the particle forms conductive chain that drastically increase the effective thermal conductivity of two-phase particulate composites. In this study, we introduce a random network three dimensional (3D) percolation model which closely represent the experimentally observed scenario of the formation of the conductive chain by spherical particles. The prediction of the effective thermal conductivity obtained from percolation models is compared with the conventional micromechanical models of particulate composites having the cubical arrangement, the hexagonal arrangement and the random distribution of the spheres. In addition to that, the capabilities of predicting the effective thermal conductivity of a composite by different analytical models, micromechanical models, and, numerical models are also discussed and compared with the experimental data available in the literature. The results showed that random network percolation models give reasonable estimates of the effective thermal conductivity of the highly conductive particulate composites only in some cases. It is found that the developed percolation models perfectly represent the case of conduction through a composite containing randomly suspended interacting spheres and yield effective thermal conductivity results close to Jeffery's model. It is concluded that a more refined random network percolation model with the directional conductive chain of spheres should be developed to predict the effective thermal conductivity of advanced composites containing highly conductive inclusions

DESIGN AND IMPLEMENT CHAT PROGRAM USING TCP/IP

LAN Chat Messenger using TCP/IP offers reliability, security and zero cost communication among staff members of acompany. As well, this study offers file transfer. It helps to solve the communication problems that related to time and cost. The proposedprotocol facilitates information exchange among individuals by providing many communication options. It is a standaloneapplication using JAVA as the programming language and tested at LANs of our institute (college's Labs networks)

Conception the Fluid Flow Behavior within Oil Reservoir Rock by Using Computed Tomography (CT) Scan

The behavior of fluid flow has been studied during the different flow media over the past decades. In addition, the behavior of the flow of fluid through porous media has garnered much research interest. This paper sheds light on fissured rocks of oil reservoir media (as one of the porous media domain), and the effect of these fissured on fluid flow. In this article, the Finite Volume Method (FVM) has been used to visualize the behavior of single-phase fluid flow in an actual core according to the dualporosity dual permeability model. The study was conducted in two parts, the first was the image processing for one of the real oil reservoir fractured rock images, where the image was processed and simulated by ANSYSCFX software, and the results showed a complete visualizing of the fluid behavior during this domain. As for the other side, a simulation of a real reservoir rock belonging to the Al-Nour field in Iraq / Misan was made. The X-ray Computed Tomography (CT) scan has been used to convert the real fractured core to a dynamic domain. ANSYS-CFX program has been used and the results illustrated the pressure counter, the velocity counter, the velocity streamline, and the velocity vectors for the studied model in three dimensions. A comparison was made between the productivity index for fractured and non-fractured rock and the results explained that the presence of fracture can improve the productivity index to about 5.74%

Kuwaiti parent's knowledge of their childern's fever and their patterns of use of over the counter antipyretics

BackgroundMany parents consider fever a disease with the continuation of fever phobia and overuse of antipyretics to reduce it.AimsIdentifying Kuwaiti parent’s knowledge of their children’s fever and determining their patterns of use of Over-the-Counter- Antipyretics.Methods A descriptive cross-sectional study in which we have recruited 614 Kuwaiti mothers of well children aged between six months and five years. Data was collected over six-months from September 2015 to March 2016, using a self-administered questionnaire.Results A total of 614 mothers participated in the study, with a response rate of 94.5 per cent. Twenty-seven per cent (166) of them considered a temperature ≤38.5°C to be a high-grade fever, with the level of education significantly influenced mothers’ reports of high-grade fever (F=4.68, df.=4, P=0.001, n=207). Almost all the parents believed that heat could cause harm, and 48 per cent (294) of them stated that fever is very harmful. Fifty-three per cent of mothers (309) would give antipyretic medication when body temperature is ≤38°C. Sixty-one per cent (375) of the mothers had alternated antipyretic paracetamol and ibuprofen. Forty-five per cent (274) of parents think that antipyretics are without potential harm. Level of education had a positive impact on the perception of fever [χ2 (df=8)=70.68, p < 0.001]. Usual practices targeted temperature reduction using antipyretics by 53.7 per cent.ConclusionMothers have an imperfect knowledge of fever. Fever phobia is widespread, leading to an overuse of antipyretics

Preparation of (Pomegranate Peel- Polystyrene) Composites and Study their Optical Properties

In this work, samples of pure polystyrene and polystyrene (PS) doped with (pomegranate peel)  were prepared using casting method .The effect of addition of pomegranate peel (PP) concentration on optical properties of poly styrene have been studied in the wavelength range (200-800)nm. The absorption coefficient, energy gap, refractive index and extinction coefficient have been determined. The results show that the optical constants change with increase of PP concentration. Key words: polymer , Polystyrene, pomegranate peel, Optical properties, absorbance

Using K-fold cross validation proposed models for SpikeProp learning enhancements

Spiking Neural Network (SNN) uses individual spikes in time field to perform as well as to communicate computation in such a way as the actual neurons act. SNN was not studied earlier as it was considered too complicated and too hard to examine. Several limitations concerning the characteristics of SNN which were not researched earlier are now resolved since the introduction of SpikeProp in 2000 by Sander Bothe as a supervised SNN learning model. This paper defines the research developments of the enhancement Spikeprop learning using K-fold cross validation for datasets classification. Hence, this paper introduces acceleration factors of SpikeProp using Radius Initial Weight and Differential Evolution (DE) Initialization weights as proposed methods. In addition, training and testing using K-fold cross validation properties of the new proposed method were investigated using datasets obtained from Machine Learning Benchmark Repository as an improved Bohte's algorithm. A comparison of the performance was made between the proposed method and Backpropagation (BP) together with the Standard SpikeProp. The findings also reveal that the proposed method has better performance when compared to Standard SpikeProp as well as the BP for all datasets performed by K-fold cross validation for classification datasets

Analysis of Relationship Between Trade Policy Trends and Unemployment Rates in Iraq

Purpose: This research aims, to review trends of trade policy in Iraq.   Theoretical framework: identifying the extent of impact of alternative policies aimed at achieving productive diversification on unemployment rates in the long and short term.   Design/methodology/approach: The research sample included data to measure research variables for the period 2004-2020. The ARDL model was used to measure research variables.   Findings: The main conclusion that the trade policy in Iraq continued to operate in isolation from the rest of economic policies, in light of the continued dependence on oil sector and inflexibility of the production system, all of which led to the lack of diversification of economic activity and weaken contribution of non-oil production sectors in produce and creating jobs, which led to continuing dependence on imports and high unemployment rates.   Research, Practical &amp; Social implications: the coordination between trade policy and the rest of economic policies are achieve a wide range of basic sustainable development goals, foremost of which is economic diversification in addition to increasing public revenues, creating opportunities, and diverse work in many fields.   Originality/value: The findings show that success of trade policy in achieving its goals, especially in terms of its ability to influence unemployment rates