Today's world in all fields extract useful knowledge from data, Data Mining is an analytic process designed to explore data. Classification analysis is one of the main techniques used in Data Mining. The classification method analyses the data from different perspectives and evaluates their accuracies and detecting a problem in various aspects. In this work, we focus on Heart Disease problem; specifically we took University of California, Irvine (UCI) heart disease dataset and WEKA (Waikato Environment for Knowledge Analysis) data mining tool. Various researches have investigated this dataset for better performance measures. In our paper does a comparative study of commonly used machine learning algorithms to detecting heart diseases. The aim of this research to judge the accuracy of different data mining algorithms such as NaiveBayes, IBK, RandomForest on heart disease dataset and determine the optimum algorithm for detection of heart disease.
Fungal skin infections are caused by different types of fungi among these Malassezia species is the common cause of the dermatitis in human and animals. In the present study, the skin scraping samples were collected from human and dog. The samples were inoculated into Saboraud and potato dextrose broth to achieve the fungal growth. The fungal species were isolated and characterized by colony morphology, potassium hydroxide (KOH) and lacto phenol cotton blue staining. Genomic DNA was isolated and the 28S rRNA was amplified from fungal species using the universal primers and the amplified PCR products were subjected to sequencing. The sequence analysis of 28S rRNA reveals that two sequences were similar to Malassezia globosa and one sequence is similar to Malassezia pachydermatis which causes dermatitis in human and dog, respectively. Further study was carried out to assess the antifungal activity of the silver nanoparticles synthesized through green synthesis using Azadirachta indica leaf extract and characterized by UV-Visible spectrophotometer, Transmission electron microscope (TEM), X-Ray diffraction spectrophotometer (XRD) and Fourier transform infrared spectrophotometer (FTIR). The characterized silver nanoparticles inhibit the growth of Malassezia species by forming zone of clearance. This study suggests that the silver nanoparticles could be an alternative to treat the fungal infections.
1-monocaproin and 1-monocaprylin synthesized through a novel process by the chemical reaction of glycidol and their respective fatty acids with copper acetate as the catalyst possessed the amphiphilic property. 1-monoacyl glycerols synthesized were found to exhibit antibacterial, antifungal, anti parasitic and antiviral properties. 1-monocaproin and 1-monocaprylin were able to show their antibacterial effect by inhibiting the growth of the Gram negative bacteria Escherichia coli, Pseudomonas aeruginosa and Gram positive bacteria Staphylococcus aureus, Bacillus subtilis at concentrations of 100-500 ppm. The Minimal Inhibitory Concentration (MIC) of both 1-monoacyl glycerols were found to be 0.5 ppm. 1-monocaproin and 1-monocaprylin were able to show their antifungal effect by inhibiting the growth of the filamentous fungi Mucor racemosus and Rhizopus stolonifer at the concentration of 1000 ppm. Based on the molecular interaction and common binding interaction study, 1-monocaproin is expected to exhibit a similar antiviral activity as that of Oseltamivir to H 5 N 1 influenza virus hemagglutinin. 1-monocaprylin and 1-monocaproin synthesized using copper acetate could exhibit a broad spectrum antimicrobial effect in combination with other monoacyl glycerols or with other antimicrobial agents.
Terminalia is the second major genus belonging of family Combretaceae. Species from this genus have been used in outmoded popular medicine globally. But then, a little study was stated on Terminalia paniculata L. (TP). This is a complete literature review of various Terminalia plants highlighting on TP, about its biological and isolated constituents. The objective of this study is to fascinate the attention of unfamiliar activities of TP, thus conducive to the growth of novel therapeutics which might benefit health of individuals suffering from illnesses. Existing data on Terminalia was sourced from electronic databases like Scopus, Goggle Scholar, ScienceDirect, PubMed, Chemical Abstract earth and Springer Link. Plant based studies have led to extraction of various categories of phytochemicals like, tannins, flavonoids, phenolic acids, triterpenes, triterpenoid glycosides, lignan and ligan derivatives in Terminalia plants. Extracts and their isolated constituents of various Terminalia plants reported a good spectrum of activities. TP consist of polyphenols such as ellagic acid, 3,3’-di-O-methyyl ellagic acid and 3,4,3’-O-trimethyl flavellagic acid. Studies on Terminalia genus has opened a diverse active chemical component. Many biochemical potentials have authenticated use of Terminalia in therapy of different ailments in plant-based medicine. Future studies desired to discover bioactive constituents’ accountable pharmacological mechanisms. Terminalia paniculata is a tree native to southwest India (including the Western Ghats and Karnataka). Known in the timber trade as kindal. Though it has been used in the ancient system of medicine for menstrual problems, cough, bronchitis, cardiac debility, hepatitis, diabetes and in obesity, very little literature support is available on these biological activities, except for its few like acute and chronic anti-inflammatory activity. This review is an attempt to emphasize on the phytochemical and biological activities of terminalia genus and the species Terminalia paniculata.
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