Volume 9 | Issue 7 |

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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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Creative Commons Attribution 4.0 and The Open Definition

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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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Creative Commons Attribution 4.0 and The Open Definition

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

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Creative Commons Attribution 4.0 and The Open Definition

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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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Student Database Management for college based to manage student and facult data.

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Studere, Database, College

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Creative Commons Attribution 4.0 and The Open Definition

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: Prospective teacher educators, pre-test, post-test, online learning, effectiveness.

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Pandemic has generated a feeling of anxiety, fear and exasperation among children due to school closure, isolation and lack of support. Child abuse, exploitation and violence have also increased substantially during the lockdown (Child line & UNICEF, 2020). The situation of children living under institutional care is highly disconcerting, A World Health Organization report on global child abuse noted that schools were closed to 1.5 billion children worldwide because of the pandemic, and their parents face heightened stress and anxiety from lost income, social isolation, and potential crowding in the home. Additionally, more time online may expose children to an increased nuisance of online sexual exploitation.

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Creative Commons Attribution 4.0 and The Open Definition

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Impact of covid, Prevalence rates of CSA, child rape cases.

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In this article the basis mechanisms of tripping out of crude oil from oil wells by basic functions and introduction to crude oil its basic types and with examples of their fossils they found. Here its mainly associated with the working of Christmas tree (oil dripping machine) , the function and effects of MUD and its formation and the dosing (in ppm) calculations.

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Key Words :- Tripping , Christmas tree , MUD , Dosing in ppm

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Creative Commons Attribution 4.0 and The Open Definition