Background: Clinical classification of patients with acute coronary syndrome is essential step in identifying severe cases before referring them, fairly quickly, for the ultimate investigation of coronary angiography .Hence it is important to find out the extent at which the severity of the disease, based on clinical classification, agrees with its severity at angiography and to see whether traditional Risk factors or pas ischaemia played a role.
Patients and Methods : The angiographer data of 178 consecutive pts with Acute Coronary Syndrome (ACS) were retrospectively analyzed. The pts consisted of 114 with Unstable Angina (UA) and 64 pts with Non-ST-Segment Elevation Myocardial Infarction (NSTEMI). Patients were classified depending upon the predominating clinical assessment during hospitalization into four groups of progressively worsening ischaemia. They were; group 1; New onset Angina; 27 pts, group 2; Deteriorating Chronic Angina, 33 pts, group 3; Rest Angina 54 pts, and, group 4; Non-ST-Elevation Myocardial Infarction (NSTEMI), 64 pts.
Results : Coronary Angiography revealed that the frequency of multi-vessel coronary Disease (MVD) in group 1, 2, 3, and 4 were 48%, 73%, 72%, and 56% respectively which meant that worsening of ischaemia was not accompanied by commiserate increase of the frequency of MVD in Rest angina and NSTEMI. To explain that we calculated the average number of Five traditional Risk Factors; Hyperlipidaemia (HL), Diabetes Mellitus (DM), Hypertension (HTN), Smoking (SM), and Positive Received March 2006 Family History (PFH) in the four groups ofACS (R.F. score) and they were 1.72, 1.87, 2.13, 2.51 in Accepted May 2006 groups 1,2,3, and 4 respectively. Then we studied the relation of having one, two, three, and four orfive Risk Factors and the frequencies of Multi-vessel disease and they were; 43%, 67%, 76%, and 84% respectively which meant that the frequency of MVD ought to increase from group 1 to group 4 supporting the clinical classification. This prompted us to look into the individual Risk factors. The clinical data showed that the incidence of HL had risen
significantly in Ch. D. angina and Rest Angina (P: 0.03) and that the incidence of SM had risen significantly in NSTEMI (P.• 0.001). Since the angiographic data had demonstrated a significant association of HL with MVD and SM with SVD we may understand why the rate of MVD was not higher in NSTEMI than UA. To explain why the frequency of MVD in Rest Angina (g. 1) was not higher than Ch. D. Angina (g. 2) despite having worse ischaemia and higher R.F. Score we scrutinized the data and noticed that the main difference between group 1 and group 2 that chronic stable angina had preceded the onset of UA in Group 2 while it did not do in group 1. On the other hand Rest Angina and NSTEMI pis were a mixture of those with and without prior ischaemia. To follow this point further we divided both groups into two subgroups: one with history of prior ischaemia and one without it. The frequency
of MVD in Rest Angina and NSTEMI with prior ischaemia were 83%% and 81 %% compared to 54% and 39% respectively in pts without it.
Conclusion this study has shown that clinical classification in Acute Coronary Syndrome may predict severity of the underlying CAD to some extent however considering the no. Of risk factors and which Risk factor and whether there was antecedent ischaemia would improve the prediction a great deal.
Single-input Multiple-output Signals Third-order Active-R Filter for different Circuit Merit Factor Q Configuration is proposed. This paper discusses a new configuration to realize third-order low pass, band pass and high pass. The presented circuit uses Single-input Multiple-output signals, OP-AMP and passive components. This filter is useful for high frequency operation, monolithic IC implementation and it is easy to design .This circuit gives three filter functions low-pass, high-pass and band-pass. This filter circuit can be used for different merit factor (Q) with high pass band gain. This gives better stop-band attenuation and sharper cut-off at the edge of the pass-band. Thus the response shows wider pass-band. The Ideal value of thi
... Show MoreThe ground state proton, neutron and matter densities and
corresponding root mean square radii of unstable proton-rich 17Ne
and 27P exotic nuclei are studied via the framework of the twofrequency
shell model. The single particle harmonic oscillator wave
functions are used in this model with two different oscillator size
parameters core b and halo , b the former for the core (inner) orbits
whereas the latter for the halo (outer) orbits. Shell model calculations
for core nucleons and for outer (halo) nucleons in exotic nuclei are
performed individually via the computer code OXBASH. Halo
structure of 17Ne and 27P nuclei is confirmed. It is found that the
structure of 17Ne and 27P nuclei have 2
5 / 2 (1d ) an
Load balancing in computer networks is one of the most subjects that has got researcher's attention in the last decade. Load balancing will lead to reduce processing time and memory usage that are the most two concerns of the network companies in now days, and they are the most two factors that determine if the approach is worthy applicable or not. There are two kinds of load balancing, distributing jobs among other servers before processing starts and stays at that server to the end of the process is called static load balancing, and moving jobs during processing is called dynamic load balancing. In this research, two algorithms are designed and implemented, the History Usage (HU) algorithm that statically balances the load of a Loaded
... Show MoreThe study aims to integrate the visually impaired people into the art connoisseur community through producing special print artworks to enable the visually impaired people to use their other senses to feel artworks by using artistic printing techniques through adding some prominent materials to the printing colors or making an impact that visually impaired people can perceive using their other senses. This study also aims to set up art exhibitions that display tangible works that can enable visually impaired people to feel artwork and understand its elements to enable them to feel it through other senses.
The study follows the experimental method, through using artistic printing techniques, which allow printing with prominent textur
A number of compression schemes were put forward to achieve high compression factors with high image quality at a low computational time. In this paper, a combined transform coding scheme is proposed which is based on discrete wavelet (DWT) and discrete cosine (DCT) transforms with an added new enhancement method, which is the sliding run length encoding (SRLE) technique, to further improve compression. The advantages of the wavelet and the discrete cosine transforms were utilized to encode the image. This first step involves transforming the color components of the image from RGB to YUV planes to acquire the advantage of the existing spectral correlation and consequently gaining more compression. DWT is then applied to the Y, U and V col
... Show MoreThis project aims to fabricate nanostructures (AgNPS) using the electrical exploding wire (EEW) technique using Rhodamine 6G dye as the probe molecule, investigate the effect of AgNPS on the absorption spectra and surface-enhanced Raman scattering (SERS) activities, and advance using porous silicon as an active substrate for surface-enhanced Raman scattering (SERS). X-Ray diffraction (XRD) was used to investigate the structural properties of the nanostructures (AgNPs). Field emission scanning electron microscopy (FE-SEM) was used to investigate surface morphology. A double beam UV-Vis Spectrophotometer was used to analyze the mixed R6G laser dye(of concentration 1x M) absorption spectra with the nanostructures AgNPS (of concentra
... Show MoreSimulation of the Linguistic Fuzzy Trust Model (LFTM) over oscillating Wireless Sensor Networks (WSNs) where the goodness of the servers belonging to them could change along the time is presented in this paper, and the comparison between the outcomes achieved with LFTM model over oscillating WSNs with the outcomes obtained by applying the model over static WSNs where the servers maintaining always the same goodness, in terms of the selection percentage of trustworthy servers (the accuracy of the model) and the average path length are also presented here. Also in this paper the comparison between the LFTM and the Bio-inspired Trust and Reputation Model for Wireless Sensor Network
... Show MoreThe researcher studied transportation problem because it's great importance in the country's economy. This paper which ware studied several ways to find a solution closely to the optimization, has applied these methods to the practical reality by taking one oil derivatives which is benzene product, where the first purpose of this study is, how we can reduce the total costs of transportation for product of petrol from warehouses in the province of Baghdad, to some stations in the Karsh district and Rusafa in the same province. Secondly, how can we address the Domandes of each station by required quantity which is depending on absorptive capacity of the warehouses (quantities supply), And through r
... Show Moreان السبب الرئيسي لاختيار الموضوع كونه من الاساليب الادارية الحديثة التي تهدف الى انجاح المنظمة او الشركة المبحوثة, اذ تمثلت مشكلة البحث في ما دور الادارة بالرؤية المشتركة في تعزيز التسويق الابداعي بالشركة المبحوثة, يهدف البحث الى تسليط الضوء على مفهوم الادارة بالرؤية المشتركة وانعكاساتها على التسويق الابداعي للمنظمة ، باعتبارها منهج اداري حديث يسهم في تغيير وتجديد وتطوير واقع المنظمة المبحوثة( الشرك
... Show MoreThe main problem when dealing with fuzzy data variables is that it cannot be formed by a model that represents the data through the method of Fuzzy Least Squares Estimator (FLSE) which gives false estimates of the invalidity of the method in the case of the existence of the problem of multicollinearity. To overcome this problem, the Fuzzy Bridge Regression Estimator (FBRE) Method was relied upon to estimate a fuzzy linear regression model by triangular fuzzy numbers. Moreover, the detection of the problem of multicollinearity in the fuzzy data can be done by using Variance Inflation Factor when the inputs variable of the model crisp, output variable, and parameters are fuzzed. The results were compared usin
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