Background : Coronary artery disease is theunderlying cause in approximately two thirds of
patients with systolic heart failure ;
Coronary artery angiogriphy may be useful to
define the presence ,
Anatomical characteristics ,and functional
significance of Coronary artery disease in
selected heart failure patients with or without signs
and aymptoms of Coronary artery disease.
Objectives: to verify the clinical usefulness of
coronary angiography (CA) in congestive heart
failure (CHF) patients with no history of ischemic
heart disease and to identify predictive factors for
performing coronary angiography to patients with
congestive heart failure with no obvious ischemia.
Methods :this is a cross-sestional study conducted
Ibn al –Bitar center for cardiac surgery during a
period between November 2009 and November
2010 ;all included patients have symptomatic LV
dyfunctional with NYHA functional class II or
more with no clinical evidence of IHD .History,
physical examination had been performed for each
patient , in addition ti blood tests ,ECG ,CXR,
echocardiography and Coronary angiogriphy
Results :Among 112 patients with symptomatic
LV dysfunction of unknown cause enrolled in this
study male :female ratio 3:1 their age (17 -77 years
)there were 14 patients (12.5%)with significant
Coronary artery disease , statistical analysis
between CADand non CAD group show :the CAD
were more common in male 11 patients (78% )
smokers(1)Were female , 25 patients (22.3%) were
diabetic , 25 diabetic (22.3%) were hypertensive
,50 diabetic (44.6%) were smokers . 4 diabetic3.5) with family history of dilatedhyperlipidemia and 3 diabetic (2.6%) ) with
family history ischemic heart disease (IHD in
close relative at age <50 years in men and <55
years in women ) as demographic distribution of
patients in table 1 .coronary angiography show
that are 14 patients (12.5%) with significant
coronary artery disease (CAD) and 98 patients
(87.5%) with significant coronary artery disease
. as shown in figure 1 . eleven patients (78%) of
patients (22%) were female statistical analysis
shows that the male is more predominant in
CAD groups as shown in table 2 . twelve
patients (85.7%) of patients with CAD were
smokers while only 38 patients (38.7%) were
smokers in non CAD group . statistical analysis
shows there is significant difference between
the two groups ( p value < 0.01 ) as shown in
table 3 .nine patients (64.2%) of patients with
CAD were diabetics while 16 patients
(16.3%)were diabetics in non CAD group ,
statistical analysis shows there is significant
difference between the two groups (p value <
0.005) as shown in table (3) .there is no
statistical between the mean of left ventricular
ejection fraction of CAD group ( 37 ±10 %) and
that of non CAD (36±9 % ) , p value > 0.5 as
shown in table 6 . figure 2 revealed that LAD
lesion was most common coronary artery lesion
which represent 12 (85%) followed by in order
of frequency LCX 42 % ,RCA 28% and LMS
7% ; in addition to that 57% with single vessel
disease ,14.2% with 2 vessel disease and
28.4%with r vessel disease (2)Leads , ST
depression ≥1 mm or deep T wave inversion
had been excluded
(
This investigation reports application of a mesoporous nanomaterial based on dicationic ionic liquid bonded to amorphous silica, namely nano-N,N,N′,N′-tetramethyl-N-(silican-propyl)-N′-sulfo-ethane-1,2-diaminium chloride (nano-[TSPSED][Cl]2), as an extremely effectual and recoverable catalyst for the generation of bis(pyrazolyl)methanes and pyrazolopyranopyrimidines in solvent-free conditions. In both synthetic protocols, the performance of this catalyst was very useful and general and presented attractive features including short reaction times with high yields, reasonable turnover frequency and turnover number values, easy workup, high performance under mild conditions, recoverability and reusability in 5 consecutive runs without lo
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This paper presents a comparative study of two learning algorithms for the nonlinear PID neural trajectory tracking controller for mobile robot in order to follow a pre-defined path. As simple and fast tuning technique, genetic and particle swarm optimization algorithms are used to tune the nonlinear PID neural controller's parameters to find the best velocities control actions of the right wheel and left wheel for the real mobile robot. Polywog wavelet activation function is used in the structure of the nonlinear PID neural controller. Simulation results (Matlab) and experimental work (LabVIEW) show that the proposed nonlinear PID controller with PSO
learning algorithm is more effective and robust than genetic learning algorithm; thi
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... Show MoreExperimental measurements were done for characterizing current-voltage and power-voltage of two types of photovoltaic (PV) solar modules; monocrystalline silicon (mc-Si) and copper indium gallium di-selenide (CIGS). The conversion efficiency depends on many factors, such as irradiation and temperature. The assembling measures as a rule cause contrast in electrical boundaries, even in cells of a similar kind. Additionally, if the misfortunes because of cell associations in a module are considered, it is hard to track down two indistinguishable photovoltaic modules. This way, just the I-V, and P-V bends' trial estimation permit knowing the electrical boundaries of a photovoltaic gadget with accuracy. This measure
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