DOI: 10.37421/ csj.2020.11.216
Nanoparticles have wide applications in semiconductor having a size of about 1-100nm which paid attention towards the unique properties of electrical, mechanical and optical, where the result confined with the effect compares with its bulk properties that could be shown in last several years. In the past years it were signified that the various applications shows their attention towards the study of the characterization, synthesis and properties of different nanoparticles. It is also studied that the some semiconductor nanoparticles like ZnO is used due to its importance in solar energy conversion, UV lightemitting diodes, laser diodes, photo-catalysis and chemical s
DOI: 10.37421/ csj.2020.11.217
The Plasma state is considered to be the fourth state of matter after solid, liquid and gas. The matter being explained as an intermediate confluence between solid and liquid, being formed by extensive temperatures on gaseous state giving rise to an entirely different state sounds fascinating. This gives a series of speculations those need to be explained. To explain all that we need to know all the properties of this state to find conclusive evidences.
DOI: 10.37421/ csj.2020.11.218
Polycystic Ovary Syndrome (PCOS) is a commonly occuring, heterogenous endocrine disorder in women of reproductive age with a prevalence of 5-10% worldwide. The characteristics of PCOS are hyperandrogenism, chronic anovulation and polycystic ovaries. According to Rotterdam 2003 criteria, PCOS can be divided into four different phenotypes: hyperandrogenism, chronic anovulation and polycystic ovaries; chronic anovulation and polycystic ovaries but no clinical or biochemical hyperandrogenism; hyperandrogenism and chronic anovulation but normal ovaries; hyperandrogenism and polycystic ovaries but ovulatory cycles. PCOS is reproductive as well as metabolic disorder and is a foremost cause of an ovulatory infertility among premenopausal women. It is reported that oocytes of PCOS females have low quality and fertilization rate which might be due to abnormal levels of androgen or insulin.
DOI: 10.37421/ csj.2020.11.215
To critique the proficiency of multilinear regression (MLR) and artificial neural network (ANN) models for predicting coating process is the major subject of this paper. The efficiency of coating nano-graphene particles on surface cotton as a case study was analyzed. Taguchi L27 orthogonal array was elected as experimental design. The Taguchi results were tested using both S/N (signal to noise) ratios and ANOVA (analysis of variance). The outcome of Taguchi design is labeled as the input for each of MLR and ANN models. The parameters for the MLR model and network architecture for the ANN model were amended. Comparing MLR performance with ANN method, ANOVA test and data analysis showed that ANN is at 99.9% confidence level to predict the process of covering graphene surface on cotton better than MLR model.
DOI: 10.37421/ csj.2020.11.219
Ultrasonic study of anionic surfactants in binary liquid mixtures is considerable importance in understanding the molecular interactions between component molecules. A number of experimental techniques have been used to investigate the interactions between the components of binary liquid mixtures. Ultrasonic velocity provides a way for liquids to study the molecular interaction and to elucidate internal structure of liquids. Various thermodynamic properties of liquid mixtures can be easily determined with the help of ultrasonic velocity, which are cannot be determined by other means
