OBSERVATION OF SIDDHA DIAGNOSTIC PARAMETER NEIKKURI (OIL ON URINE SIGN) IN CHRONIC KIDNEY DISEASE PATIENTS

Chronic renal disease is a common health problem in the world. In 2016, females are mostly affected by CKD than the males. There are many diagnostic methods in modern aspect of medicine like serum Creatinine, urea and etc., The Siddha system of medicine is a treasure dedicates to the world by Siddhars. In Siddha system of medicine, different diagnostic methods present for all diseases. As per Theraiyar, the eight methods of diagnosis ‘Envagaithervu’ are Naadi (pulse), Naa (Tongue), Niram (Color), Mozhi (Voice), Vizhi (Eyes), Malam (Feces), Neer (urine) and Sparisam (Touch). Among the eight diagnostic tools, Neikkuri is one of the important methods for urine analysis. This study was aimed to Observed the Neikkuri (oil on urine sign) in chronic kidney disease patients. 40 patients were selected from NIS OPD by non randomised method. The study details were collected in the data collection form with the consent of the patients. Urine samples were collected in glass bowel. A small drop of black sesame oil was instilled on the center of the upper surface of the urine perpendicularly. The spreading nature of the oil has to be observed. Result of the study shows 30% of Neikkuri is Kabapitham nature. This study is helps to evaluate the siddha diagnostic method for Chronic Kidney Disease

PREDICTION OF ANTI-ALZHEIMER’S ACTIVITY OF FLAVONOIDS TARGETING CD33 THROUGH IN-SILICO APPROACH

Objective: Alzheimer's disease (AD) is a progressive, fatal brain disorder that would be putting a growing strain on health and social care systems. Present anti-AD agents are limited in their application due to their adverse effects, toxicity, and limited targets in AD pathology. As a result, it is important to develop an AD-fighting compound. Some flavonoids (such as kaempferol, myricetin, quercetin, and syringetin) have been shown to be effective in the treatment of Alzheimer's disease. Methods: We chose 284 flavonoids from the NPACT database for molecular docking studies in order to examine their binding interactions with the Alzheimer target protein CD33. Results: These compounds exhibited significant docking interactions with a variety of targets implicated in the pathogenesis of AD. We chose the top three compounds (Rutin, Morin, and,4,4'-Trihydroxydihydrochalcone) based on the scoring parameter. Conclusion: These compounds exhibited favorable pharmacokinetic properties, indicating that they could be attractive drug candidates for the treatment of Alzheimer's disease

Correlation-based feature selection for association rule mining in semantic annotation of mammographic medical images

Mining of high dimension data for mammogram image classification is highly challenging. Feature reduction using subset selection plays enormous significance in the field of image mining to reduce the complexity of image mining process. This paper aims at investigating an improved image mining technique to enhance the automatic and semi-automatic semantic image annotation of mammography images using multivariate filters, which is the Correlation-based Feature Selection (CFS). This feature selection method is then applied onto two association rules mining methods, the Apriori and a modified genetic association rule mining technique, the GARM, to classify mammography images into their pathological labels. The findings show that the classification accuracy is improved with the use of CFS in both Apriori and GARM mining techniques

Parallel and Distributed Computing for High-Performance Applications

The study of parallel and distributed computing has become an important area in computer science because it makes it possible to create high-performance software that can effectively handle challenging computational tasks. In terms of their use in the world of high-performance applications, parallel and distributed computing techniques are given a thorough introduction in this study. The partitioning of computational processes into smaller subtasks that may be completed concurrently on numerous processors or computers is the core idea underpinning parallel and distributed computing. This strategy enables quicker execution times and enhanced performance in general. Parallel and distributed computing are essential for high-performance applications like scientific simulations, data analysis, and artificial intelligence since they frequently call for significant computational resources. High-performance apps are able to effectively handle computationally demanding tasks thanks in large part to parallel and distributed computing. This article offers a thorough review of the theories, methods, difficulties, and developments in parallel and distributed computing for high-performance applications. Researchers and practitioners may fully utilize the potential of parallel and distributed computing to open up new vistas in computational science and engineering by comprehending the underlying concepts and utilizing the most recent breakthroughs

Exploring the structural, magnetic and magnetothermal properties of (CoFe2O4)x/(Ni0.8Zn0.2Fe2O4)1-x nanocomposite ferrites

The hard ferrite (CoFe2O4), soft ferrite (Ni0.8Zn0.2Fe2O4) and composite ferrite (CoFe2O4)x/(Ni0.8Zn0.2Fe2O4)1-x (hard/soft ferrite) with x = 0.2,0.4,0.6,0.8 were synthesized by sol-gel auto combustion method. X- Ray Diffraction analysis revealed the formation of the phases. The cubic structures of the samples were confirmed. The thermal analysis done using TGA/DSC confirmed the temperature of phase formation. The FTIR spectroscopy data for the samples were used to confirm the formation of functional groups and successful synthesis of the ferrites. The as-synthesized samples were characterized by SEM confirmed the overlapping spherical particles and elemental mapping was done with EDS. The FESEM and TEM analysis were done for the sample showing enhanced property of magnetic hyperthermia. The saturation magnetization (Ms), Coercivity (Hc) and the remanent magnetization (Mr) of the samples were studied using Vibrating Sample Magnetometry. The surface charge of the particles when dispersed in DI water was examined using Zeta potential measurement. Finally, we analysed the heating characteristics of the samples in an alternating magnetic field of frequency 350 kHz and field amplitude of 50 Oe. It has been concluded that the magnetic properties depend on the concentration of soft and hard ferrite in the samples and magnetic heating efficiency depends on the composition of the samples

Investigation on third-order nonlinear parameters, mechanical and dielectric behavior of alkali metal-organic C2HLiO4 H2O single crystal

A metal-organic lithium hydrogen oxalate hydrate single crystal was developed using the solution growth method. The single-crystal XRD analysis confirmed the triclinic structure and space group P1 along with the lattice parameters a = 3.439 Å, b = 5.097 Å, c = 6.141 Å, α = 78.50°, β = 84.89°, and γ = 81.41° of the grown crystal. The average crystallite size and strain within the material were calculated and compared using Debye Scherrer and Williamson-Hall method. The existence of diverse functional groups in the LHOH crystal was verified with the help of the FTIR analysis. The Z-scan method was carried out to acquire information about the developed material's third-order nonlinear characteristics that showed the material's self-focusing effect. The dielectric behavior of the compound was studied for various temperatures and frequencies. The Vicker’s microhardness analysis was carried out to collect information about the hardness number, yield strength, elastic stiffness, brittle index and fracture toughness of the grown crystal. The hardness number decreased when the applied load was increased, which indicated the normal indentation effect of the material

KNOWLEDGE DISCOVERY IN DATA GRID WITH ADVANCE RESERVATION FOR METEOROLOGY

In weather forecasting as well as in other scientific domains, large-scale and distributed data collections are emerging as critical community resources. With the development of Grid technologies, data management and sharing can be exploited in such an efficient way. In this paper, we present our approach in constructing a portal-based Meteorological Data Grid System with first application in Weather Forecasting .Our system architecture has three layers. The first layer is Modeling System that uses Numerical Weather Prediction (NWP) models to generate forecast data automatically in GRIB/NetCDF format. The second layer is a Data Grid which provides users with secure and easy access to distributed meteorological datasets. It also addresses authentication / authorization for secure transfers, mechanisms for scalable data replication, and technologies for searching relevant datasets regarding metadata provided by users. A Grid Portal, the third layer, is built for purpose of easy using the system. We also allow advance resource reservation to have exclusive access to Grid resource

Examining the structural, magnetic and dielectric properties of exchange spring nanocomposite magnets comprising Ba0.5Sr0.5Fe12O19 and Zn0.5Co0.5Fe2O4

Exchange-coupled hard/soft ferrite nanoparticles are prospective to squeeze out a part of expensive magnets based on rare earth elements. However, the known exchange-coupled composite ferrite nanoparticles often suffer from the lack of a powerful hard core, high defective synthesis of magnetic phases and a poor interface between them. This work is featured by the use of highly coercive Ba0.5Sr0.5Fe12O19 magnets prepared by sol–gel combustion. Here in we demonstrate the synthesis of magnetic nanocomposites comprising Ba0.5Sr0.5Fe12O19 and Zn0.5Co0.5Fe2O4 hard/ soft ferrites by gradually increasing the share of spinel ferrites in the hard ferrites. Four samples of nanocomposites were prepared with the increasing order of hard ferrites using simple solgel auto-combustion method. Thermal breakdown examinations have been performed using TGA/DSC on the as-synthesised material from 0 °C to 1250 °C, and the temperature stability of the sample was detailed. The XRD analyses proved the presence of hexagonal and cubic crystal structure in each nanocomposite. Transmission Electron Microscopy was used to examine the morphology and topology of the nanocomposites. Hard and soft ferrites were detected in rod and non-spherical microstructures, correspondingly. The bending and the stretching vibrations in the sample was studied by using Fourier Transform Spectroscopy. The magnetic response of the synthesised samples was studied by using the Vibrating Sample Magnetometry. The prepared Nano powders displayed a highest coercivity Hc of 6307 Oe for pure hard ferrite while the pure spinel ferrite displayed a coercivity of 80 Oe. All the synthesized samples showed smooth M−H curves and single peak on dM/dH against H curves this indicates that complete exchange-coupled effects between the phases are achieved. The saturation magnetization increased with the increase in the content of spinel ferrite whereas the coercivity decreased with the increase in the spinel content

Structural and microhardness studies of pure and thiourea doped glycine phosphite single crystal

Ferroelectric Glycine Phosphite (GPI) crystal have been grown from aqueous solution employing the slow cooling technique. As the crystal solubility in water depends on temperature, single crystals were grown. Transparent, colourless crystals with habit morphology weighing about 8g were obtained with in a month. The same procedure was used to grow single crystals of 10 wt% of Thiourea doped GPI (TUGPI). Formation of a new crystal was confirmed by Powder X-ray diffraction studies as well as FTIR studies. Crystalline quality were found using rocking curve for both the crystals. Due to the presence of Thiourea in TUGPI, it improves the crystalline perfection and also enhances the growth rate. The variation of hardness on (010) faces of monoclinic GPI and TUGPI crystals, with load were studied Vickers hardness numbers, H-v were found to decrease with the increase in load. The value of Mayer's index 'n' was found to be greater than 1.6 for GPI and TUGPI showing soft-material category. The results are discussed in detail