358 research outputs found
Quality of Service Centric Web Service Composition: Assessing Composition Impact Scale towards Fault Proneness
Service composition in service oriented architecture is an important activity. In regard to achieve the quality of service and secured activities from the web service compositions, they need to be verified about their impact towards fault proneness before deploying that service composition. Henceforth, here in this paper, we devised a novel statistical approach to assess the service composition impact scale towards fault proneness. The devised model explores the higher and lower ranges of the service composition impact scale, which is from the knowledge of earlier compositions that are notified as fault prone
Data mining with Predictive analysis for healthcare sector: An Improved weighted associative classification approach
Association mining has seen its growth right through data mining during the last few years as it has the ability to search for that entire database that could be of least constraints associated with it.Thus finding such small database sets could be done with the help of predictive analysis method. The paper enlightens the combinational classification of association and classification data mining. For this to happen a new set of constraints need to be introduced namely classification association rule( CAR).some systems like classification systems with domain experts are the ones that can be associated with. For fields like medicine where a lot many patients consult each doctor, but every patient has got different personal details not necessarily may suffer with same disease. So the doctor may look for a classifier, which could provide all details about every patient and henceforth necessary medications can be provided. However there have been many other classification methods like CMAR, CPAR MCAR and MMA and CBA.Some advance associative classifiers have also seen growth very recently with small amendments in terms of support and confidence, thereby accuracy. In this paper we proposed a HIT algorithm based automated weight calculation approach for weighted associative classifier
Management, administration and governance of school education in India: proposed National Education Policy
The National Policy in Education (1986) and the
modifications made to the policy (1992) were
key initiatives that attempted to enunciate a
comprehensive framework that would guide the
development of education in the Nation. These
were landmark documents as they attempted to
highlight the need for quality, equitable education
for all and provided broad suggestions as to
how education could be resourced, the kinds of
programmes that could be implemented to help
improve the status of teachers and the profession
of teaching and suggestions for better management
and governance of the very large public education
syste
What is this thing called assessment?
In 1976, A F Chalmers first published a book
intriguingly titled ‘What is this thing called
Science’. In that book, he attempted to introduce
to readers modern views about the nature
of science. As Chalmers explained aspects of
scientific thinking such as experimentation,
falsification, Kuhn’s paradigm and the Bayesian
approach, it became evident very quickly that the
nature of enquiry into “scientific” knowledge is, if
anything, singularly complex. We find ourselves
in quite the same boat when we begin to unpack
this thing called “Assessment” – singularly
complex and often reduced to a singular notion
Influence of brassinosteroids on metabolites of Raphanus Sativus L.
The effect of 24-epibrassinolide and 28-homobrassinolide on the soluble proteins, nucleic acids (DNA and RNA) and carbohydrate fractions (reducing sugars, non-reducing sugars and starch) of radish was studied. Brassinosteroids elevated the soluble proteins of radish. Nucleic acids (DNA and RNA) were also increased by brassinosteroid- application. Increased levels of carbohydrates in terms of reducing sugars, non - reducing sugars and starch was also observed.Â
ANTIMICROBIAL ACTIVITY OF AQUEOUS AND ETHANOLIC LEAF EXTRACTS OF ANACARDIUM OCCIDENTALE
Objective: The objective of this study was to evaluate the antimicrobial activity of leaves of Anacardium occidentale (A. occidentale) against microorganisms including multidrug-resistant (MDR) bacteria. Methods: Agar well diffusion method was employed to demonstrate the antimicrobial activity of leaves A. occidentale. Ethanol and aqueous extracts of the leaves were used against microorganisms, which included American type culture collection strains of Staphylococcus aureus, Escherichia coli, Klebsiella pneumoniae, Enterococcus faecalis, and Pseudomonas aeruginosa and the clinical isolates of Streptococcus pneumoniae, Candida albicans, MDR Escherichia coli, and MDR Klebsiella pneumoniae. Results: The ethanolic extract of leaves of A. occidentale showed significant antimicrobial activity. Aqueous extract had mild antifungal activity. Conclusion: Ethanolic extract of leaves of A. occidentale could be a good source for the antibacterials to combat MDR bacterial infections. Further studies are necessary for these potent plant extracts to evaluate the in vivo efficacy and toxicity
Brassinolide improves nutrient value in storage roots of Raphnus sativus L. var Pusa chetki long
The effect of brassinolide on the qualitative changes in the storage roots of radish was studied. Brassinolide stimulated the growth of radish roots. The root growth promotion was associated with increased levels of reducing sugars, starch, soluble proteins and minerals like phosphorous, potassium, calcium, iron and sodium. Brassinolide further increased the contents of ascorbic acid and niacin present in the roots indicating their ability to improve the over all quality of storage roots of radish. 
Brassinosteroids on the oxidizing and hydrolyzing enzymes of radish plants – A study
The effect of 24-epibrassinolide and 28-homobrassinolide on the activities of two oxidizing enzymes (catalase and peroxidase) and two hydrolyzing enzymes (ribonuclease and protease) of radish plants were studied. Both the brassinosteroids stimulated the activity of the oxidizing enzyme, catalase of the radish plants. The activity of the other oxidizing enzyme peroxidase was decreased by the application of 24-epibrassinolide and 28-homobrassinolide. Brassinosteroid-treatment resulted in lowered protease as well as ribonuclease activity
Genotype variations in biomass production and nutrient removal pattern in gladiolus raised from cormels
The present study was conducted at ICAR-IIHR, Bengaluru, India during 2018-2019 to quantify resource use efficiency in 11 genotypes of gladiolus propagated through cormels based on growth, biomass partitioning and nutrient removal pattern. Growth and yield parameters differed significantly among genotypes. The leaf number was significantly higher in Arka Shobha (9.67) and Arka Manorama (9.00) than other genotypes (6.33-8.67). The spike length was higher in Arka Naveen (102.9 cm) and lesser in Arka Kumkum (66.2 cm). The pattern of biomass partitioning indicated that below ground biomass (corm) accounted for 71.5% of total biomass (3990 kg ha-1), while above ground biomass (leaf and spike) was 28.5% of total biomass (1137 kg ha-1). In gladiolus genotypes, the nutrient profile indicated that the accumulation of N was higher in corms followed by leaves and spikes. The accumulation of P (0.13-0.14%), Mn (29.8-43.5 mg kg-1), Zn (15.3-23.4 mg kg-1) and Cu (5.2-6.0 mg kg-1) was similar. Spikes accumulated higher K and Mg than leaves and corms. The accumulation of Ca was more in leaves (2.39%) followed by flower stalks (1.95 %). The average Fe concentration (mg kg-1) was more in corms (293) followed by leaves (269) and flower stalks (160). The average nutrient removal in genotypes was quantified at 122 kg N, 10.8 kg P and 71.7 kg K per ha per crop. The nutrient demand (g ha-1) of Fe was more (1062.4) than Mn (152.5), Zn (23.8) and Cu (23.0). The data implies that gladiolus is a heavy feeder of N and K. Nutrient removal of K and Fe influenced the biomass production with high degree of variability (Y =-541.858 + 24.097 Kuptake + 1.405 Feuptake R2=0.995). The present study gives scope for precision nutrient use by avoiding blanket recommendations
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