No abstract

Pregnancy is considered one of the most delicate conditions for the woman and her fetus, rendering physiological stress on her body. Sometimes, this leads to unwelcomed incidences of certain systemic disorders which further complicate the course of pregnancy. Cardiovascular conditions associated with pregnancy have major morbidity amongst the general population. Peripartum cardiomyopathy, one such condition associated with cardiac dysfunction during pregnancy, is one of the major causes of increased morbidity and mortality in pregnant women. It has been the leading cause of non-obstetric maternal mortality. Due to the stress on the cardiovascular system, further functioning of the body in the milieu gets compromised and thus, the occurrence of fetomaternal mortality is not rare in the prognosis of this condition. Certain studies have noted not only familial but also geographical variations in the prevalence of peripartum cardiomyopathy in certain areas. Although the occurrence of the condition is quite common, there still needs to be a better understanding of this topic for avoiding the abysmal prognosis of this pathology. A peculiar presentation on the electrogram is needed to make an accurate diagnosis of the condition. The therapeutic options of this condition, particularly incline towards medical management. Various new drugs have been formulated and are in clinical trials for testing their effectiveness. Bromocriptine therapy, along with the neoadjuvant combination of anticoagulant drugs and nonpharmacological measures, makes a good treatment regimen that helps avert the progressive pathology. In this article, we discuss the knowledge regarding the etiology, factors contributing to the severity, pathogenesis, treatment options, and the particular outcomes of the therapy.

Fuzzy C-Means Clustering algorithm (FCM) is a method that is frequently used in pattern recognition. It has the advantage of giving good modeling results in many cases, This paper presents the optimization of cluster center of Fuzzy C-Means algorithm by evolutionary methods, this in order to automatically select the best of cluster center with maximum probability. Optimization methods used to realization of this paper were genetic algorithms and for selection method roulette wheel method is used.

In this paper, a study on the directed particle current on flexible surfaces excited by a harmonic wave is reported. The proposed theory considers three different models for the kinematics of the surface, namely the Euler-Bernoulli, Timoshenko, and Rayleigh surface wave models. The particle-surface interaction terms in the theory incorporate Coulomb friction and inelastic collision between the particle and the surface. Three possible phases of motion, namely sticking, sliding, and jumping, are considered, and the phase transition boundaries are estimated analytically for a general surface model. The effect of various parameters on the particle current and certain statistical features of the particle motion are then studied numerically. Remarkably, the particle current spectra exhibit, in addition to resonance modes, antiresonance and secondary resonance modes and transversal zero crossings. These features have interesting implications for the particle dynamics in terms of dynamic jamming states and particle eddies, which are pointed out. Under certain restricted conditions, averaging calculations are also performed and compared with the corresponding numerical simulations.