Volume 9 | Issue 7 |

 Abstract

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Effectiveness, Multi Media, Achievement, Secondary School, Pandemic COVID 19

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Creative Commons Attribution 4.0 and The Open Definition

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Advances in computing technology have allowed researchers across many fields of endeavor to collect and maintain vast amounts of observational statistical data such as clinical data, biological patient data, data regarding access of web sites , financial data, and the like. This thesis addresses some of the challenging issues on JPEG images caused by the weak correlation between intensity and anatomical meaning. With the objective of utilizing more meaningful information to improve the quality of images an approach which employs bilateral symmetry information as an additional feature for segmentation is proposed. This is motivated by potential performance improvement in the images segmentation systems which are important for many medical and scientific applications we are using double density dual wavelet transform for removal noise by using MATLAB

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wavelet double density noise

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Creative Commons Attribution 4.0 and The Open Definition

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Women, Social Media, Empowerment, Entrepreneurship, Life Chances

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Creative Commons Attribution 4.0 and The Open Definition

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Fitness, Health and Yoga

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Customer Satisfaction, Hybrid algorithm, Customer Behaviour, Fuzzy and company product.

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The critical minimum hypothesis considered mutually the determination of the income tax schedule and the compositions of public expenditure. Our starting points the fact that public debate topically concentrates on the reduced set of salient issues political researchers have systematically studied the relative importance of expenditure plans and income taxation in the political debate. As it appears, partisan competition turns out to be strong on expenditure policy and mild on income taxation. Otherwise, endogenous growth models, such as burro (1990), predicate the government expenditure and taxation will have both temporary and permanent effects on growth. We test this prediction using panels of annual and period average data for OECD countries during (1970 1995) isolating long turn from short term fiscal effects. Specially taxation tax strategy taken as an entire is inarticulable and tentatively jumbled, and therefore, in effect, a difficulty to actual tax reform. To grow a tax strategy beneficial in the expansion of a tax structure, the theoretic methodology to fiscal policy must be unrestricted and a practical attitude must be accepted. Since the induction of the income tax in (1913), the tax system has been in a perpetual formal of change. The governmental procedure we model profits that the reformism of the income tax program is contingent on income inequality interrelated with the elasticity of substitute of the goods providing in the market and those freely provided. This association is established in our experiential test.

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Critical Minimum Hypothesis, Tax Reforms, Public Economics.

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Creative Commons Attribution 4.0 and The Open Definition

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Handwritten digit recognition is the intelligence of computers to recognize digits written by humans. But it becomes one of the most challenging tasks for machines as handwritten digits are not perfect and can be made with many different: flavors, size, thickness. Thus, as a solution to this problem, Handwriting digit recognition model comes into picture. Many machine learning techniques have been employed to solve the handwritten digit recognition problem. This paper focuses on Neural Network (NN) approaches. Among the three famous NN approaches: deep neural network (DNN), deep belief network (DBN) and convolutional neural network (CNN), the specialization of CNN as compared to other NN of being able to detect pattern is what makes it so useful for recognizing handwritten digits in this paper. Our goal is to implement a CNN based handwritten digit recognition model that uses the image of a digit and recognizes the digit present in the image. The performance is tested on MNIST dataset. The network was trained on 60,000 and tested on 10,000 numeral samples. We carried out extensive experiments and achieved a recognition accuracy of 99.87%.

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Handwritten digit recognition, Machine learning, Deep Learning, Convolutional neural network, digit recognition, classification

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Nanoscience and nanotechnology are the study and application of extremely small objects, and they can be applied in chemistry, biology, physics, materials science, and engineering, among other subjects. The exceptional physical and chemical properties of zinc oxide nanoparticles (ZnO) provide advantages. It is a low-cost material used in the cosmetics sector, nanofertilizers, and electrical devices, as well as a good agent for bioimaging and targeted medication and gene delivery, as well as an excellent sensor for detecting environmental toxins and remediation. A disinfectant made from newly synthesised zinc (II) oxide nanoparticles (ZnO-NPs) has been tested. For the developing corona virus, a nano-spray has been developed (SARS-CoV-2). Various spectroscopic analysis (FT-IR, UV, and XRD) and surface analysis techniques were used to completely chemically analyse the produced (ZnO) nanomaterial. This review focuses on ZnO-NPs, which have potent antiviral activity against SARS-CoV-2 at very low concentrations and can trigger many free radicals, causing oxidative stress to SARS-CoV-2 and severe damage to SRAS-CoV-2 cellular membranes, which is a critical result in the fight against SARS-CoV-2. Inorganic physical sun blockers such as titanium dioxide (TiO2) and zinc oxide (ZnO) are commonly used in sunscreens. The combination of TiO2 and ZnO ensures broad-band UV protection since TiO2 is more effective in UVB and ZnO is more effective in UVA. Microsized TiO2 and ZnO have been increasingly substituted with TiO2 and ZnO nanoparticles (NPs) (100 nm) to address the cosmetic issue of these opaque sunscreens. This paper examines the considerable impact on sunscreen UV attenuation when microsized TiO2 and ZnO particles are substituted with NPs, as well as the physicochemical factors that influence NP sunscreen effectiveness and safety.

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Zinc oxide Nanoparticles (ZnO-NPs), Sunscreen, Coronaviruses (CoVs), Nanotechnology, Disinfectant.

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Creative Commons Attribution 4.0 and The Open Definition

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Introduction, Need of the study, Hypothesis,Operational definitions-Knowledg, Prevention, Tuberculosis, ANM. Materials and methods- Source of data, Research approach, Research design, setting of the study, variables, population, Sample size, Sampling Technique, Sampling criteria, Data collection procedure, Duration of study, Data Analysis Method, Descriptive Statistics

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The fishes were exposed in different concentration of zinc for different time intervals to study of lethal toxicity of zinc. The lethal concentration prepared from the stock solution (0.2mg,0.4mg/lit, 0.6mg/lit & 0.8mg/lit respectively).the fishes was exposed in 0.2, 0.4, 0.6 & 0.8mg/lit for 24 hrs, 48 hrs, 72 hrs and 96 hrs. The highest mortality was observed in 48 hrs followed by 96 hrs. The LC50 value was 0.190 mg/lit for 72 hrs.Consequently we observed and record all morphological & behavioral changes after each successive time intervals.

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Zinc, Tilapia mossambicus, lethal Concentration, morphological behavioral changes

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Creative Commons Attribution 4.0 and The Open Definition