Gold Market Analyzer using Selection based Algorithm

Gold is the most important and valuable element right from its discovery. It is the most significant element at present and also the most valuable asset to. In the present market scenario the investors use gold as the security for their shares investment. During International trade all the countries use gold as their main mode of transaction. It is seen that all the currencies accepted by the International market are having the gold as the backup for their economy. The prices of gold are rising day by day continuously. As we see in the history of gold market the present prices of gold are much high as compare to the past values and that's why the gold market has attracted the most attention. The paper focus on the continuous changing in the gold rates, investment policies depend on the forecasting of trends in gold which will help the data mining companies to minimize the risk The description of the future situation on the basis of present trends is just not limited to the forecasting the prices. The knowledge discovers by the data mining techniques is gathered from the different gold related websites and also from the jewellers database. It is much more important for the ornaments making companies to know the demand and the requirements for the ornaments during the unstable (uncertain) market conditions. For the classification purpose the maid and sale database was gathered from the nearest jewellery shops of the past 5 years. The prediction is done after complete analysis of the gathered data set. With this the paper concentrate on making the information available about the government and private schemes related to gold market on one place. The paper proposes the system that gives the total access to the registered user and limited access to the unregistered user to get the required information of gold. The latest updates are provided to the registered user by sending mail or text message when the user was offline

Analysis of transfusion of blood and blood products and their utilization pattern at department of obstetrics of tertiary care hospital

Background: In developing countries, nutritional anaemia and obstetric complications are leading causes of transfusion of blood and blood products. The study was aimed to analyse utilization pattern and to identify the indications of transfusion of blood and blood products in obstetrics and to study outcome and management of pregnancy in patients who required blood and/or blood products.Methods: This retrospective study was carried out at department of obstetrics of tertiary care teaching hospital from September 2018 to November 2018 and data was collected from all patients who had received transfusion of blood and/or blood products for any obstetric cause.Results: A total of 164(6.8%) patients received blood and blood products transfusion. Department of obstetrics utilized maximum units of blood and FFP whereas PRC utilization was second highest. There were 62(37.8%) of patients who had not taken any antenatal care, whereas 64(39.0%) patients had less than 4 antenatal visits. Three most common indications for transfusion of blood and blood products were 63.4% in nutritional anaemia, 17.1% in obstetric haemorrhage and 11.6% in first trimester complications.Conclusions: Three most common indications for transfusion were nutritional anaemia, obstetric haemorrhage and first trimester complications. Majority of patients had inadequate or no antenatal care. Early and regular antenatal care, early diagnosis and management of high-risk pregnancies and obstetric complications, institutional delivery can reduce the rate of transfusion of blood and blood products

Design of Double Barrier Ceramic Radio Frequency Vacuum Window

Vacuum windows are an essential part of any radio frequency (RF) system which launches/couples RF power from an atmospheric to a vacuum environment. This paper describes the RF design of a double barrier ceramic coaxial vacuum window. Alumina 99.5% pure is considered as ceramic barrier material while inner and outer conductors are oxygen-free copper. As the initial design approach the thickness, slope, depth of ceramic in the conductor is varied and the performance of the window is studied. The design is optimised to achieve the best insertion loss, return loss response for operating frequency range up to 65MHz

Diffuse Reflectance Spectroscopic Approach for the Characterization of Soil Aggregate Size Distribution

Assessment of soil structure and soil aggregation remains a challenging task. Routine methods such as dry- and wet-sieving approaches are generally time consuming and tedious, which calls for a robust, fast, and nondestructive method of soil aggregate characterization. Over the last two decades, diffuse reflectance spectroscopy (DRS) has emerged as a rapid and noninvasive technique for soil characterization. Combined with chemometric and data-mining algorithms, it provides an effective way of measuring several soil attributes and has the added advantage of being amenable to a remote sensing mode of operation. The objective of this study was to determine if the DRS approach could be used as a rapid, noninvasive technique to estimate soil aggregate characteristics. The DRS approach was examined for the estimation of soil aggregate characteristics such as the geometric mean diameter and two statistical parameters of the lognormal aggregate size distribution (ASD) functions using 910 soil samples from India representing three important soil groups. Results showed that the geometric mean diameter and the median aggregate size parameter provided excellent predictions, with ratio of performance deviation (RPD) values ranging from 1.99 to 2.28. The RPD value for the standard deviation of the ASD ranged from 1.36 to 1.72, suggesting moderate prediction. It was further observed that soil aggregates influence the incident electromagnetic radiation on soils primarily in the visible region and to some extent the shortwave- and near-infrared regions. Electronic transitions of Fe-bearing minerals, clay minerals, and C–H functional groups of organic matter may be responsible for modifying the spectral reflectance from soils in addition to the self-shadowing effects of surface roughness. The results of this study suggest that the chemometric approach may be combined with DRS to estimate soil aggregate size characteristics

Synthesis, docking study and biological evaluation of novel N-(1,3-benzothiazole-2-yl)-2-(pyridine-3-ylformohydrazido) acetamide derivatives

1721-1737A series of N-(1,3-benzothiazole-2-yl)-2(pyridine-3-ylformohydrazido acetamide derivatives have been synthesized by facile and efficient conventional method. The structures of the compounds have been elucidated with the aid of elemental analysis, IR, ESI-MS, and 1H and 13C NMR spectral data. Molecular docking revealed that synthesized derivatives and target proteins are actively involved in the binding pattern and had a significant correlation with biological activity. Molecular dynamics studies have also been performed and ADME parameters for the synthesized compounds determined. Biological evaluation of all synthesized compounds have been carried out in vitro for their antibacterial, antituberculosis and antifungal efficacy against various bacterial and fungal strains and H37Rv. The different studies indicate that newly synthesized compounds possess moderate to good biological activities

Modelling of the effect of ELMs on fuel retention at the bulk W divertor of JET

Effect of ELMs on fuel retention at the bulk W target of JET ITER-Like Wall was studied with multi-scale calculations. Plasma input parameters were taken from ELMy H-mode plasma experiment. The energetic intra-ELM fuel particles get implanted and create near-surface defects up to depths of few tens of nm, which act as the main fuel trapping sites during ELMs. Clustering of implantation-induced vacancies were found to take place. The incoming flux of inter-ELM plasma particles increases the different filling levels of trapped fuel in defects. The temperature increase of the W target during the pulse increases the fuel detrapping rate. The inter-ELM fuel particle flux refills the partially emptied trapping sites and fills new sites. This leads to a competing effect on the retention and release rates of the implanted particles. At high temperatures the main retention appeared in larger vacancy clusters due to increased clustering rate