Volume 9 | Issue 10 |

 Abstract

The tool used for the data collection consisted of structured questionnaire. The 40 self -structured closed ended questionnaires were prepared for assessing the determining the adjustment problems among first year B.Sc. Nursing student. Closed ended question was prepared which is descriptive in nature. Study instruments used by the researcher consisted of Consent form, structured questionnaire, which has two sections. Section I - It consisted of 13 items as demographical data to assess the adjustment problems faced by the first year Basic B.Sc. Nursing students. Section II- Collection of information on the academic, psychological, physical and social adjustment problems faced by the first year Basic B.Sc. Nursing students. The findings of the present study revealed that 23% students are poorly adjusted, 77% students are adjusted and 0% students are well adjusted. The data revealed that the mean score was 107.5 followed by standard deviation 14.6. The One-way ANOVA value showed that there was a significance association between the levels of Adjustment, the association between demographic variable of age, gender, residential area, religion, marital status, type of family, monthly family income, accommodation, ordinal position in the family and adjustment problem is significant. Based on the finding it was concluded that majority of the students are adjusted (77%) among the first year basic B.Sc. Nursing student, and 23% students are poorly adjusted.

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 Keywords

Adjustment problems, first year Basic B.Sc. Nursing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Supply chain management, Entrepreneurship resource planning, organizational management system, decision making.

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Creative Commons Attribution 4.0 and The Open Definition

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The pursuit of women in Indian society has ever been remained a matter of conflict since the time immemorial. A woman is supposed to play so many roles during her entire lifetime. Traditional male-dominated setup of society wants a woman to play the obedient and submissive role throughout her whole life, having no voice or freedom of her own. While some thinkers and social reformers of the ancient times, seems to be in favour of providing women of Indian society with some freedom, where she may be able to flourish herself as an independent individual. But most of the members of male dominated society and even some thinkers are against the freedom of woman. The modern times have been changed towards the liberty of women where the women are working outside their homes to enjoy economic independence and trying to establish their own independent identity within the society, they live in. But instead of this hard fact, the traditional role is also expected to play from the part of women and is considered as the important aspect of the customs and values of society. Therefore, orthodox thinking is yet prevailed in our community even after the modernity has entered in our society and in our daily lifestyle, which is the main cause of clash between modernity and conventional values of the society.

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 Keywords

Pursuit, Conflict, Immemorial, Traditional, Submissive, Modernity, Conventional, Predicament and Humiliation.

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Creative Commons Attribution 4.0 and The Open Definition

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According to the World Health Organization (WHO), the seventh major cause of human death in 2030 will be diabetes, which of course is a very severe disease and if not treated thoroughly and on time, can lead to critical problems, including death. Millions of people are affected by the disease. The risk of diabetes is increasing day by day and is found mostly in women than men. The diagnosis of diabetes is a tedious process. Diabetic retinopathy is a disease caused by uncontrolled chronic diabetes and it can cause complete blindness if not timely treated. Therefore early medical diagnosis of diabetic retinopathy and it medical cure is essential to prevent the severe side effects of diabetic retinopathy. Manual detection of diabetic retinopathy by ophthalmologist take plenty of time and patients need to suffer a lot at this time. So with improvement in science and technology it is made easy to predict the disease. The purpose is to diagnose whether the person is affected by diabetes or not using classification based machine learning technique. This paper reviews, classifies and compares the algorithms and techniques previously proposed in order to develop better and more effective algorithms.

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 Keywords

WHO, Diabetic Retinopathy, Classification based Machine Learning techniques, Algorithms

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Culture, Naga, tradition, Christianity, Change

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Creative Commons Attribution 4.0 and The Open Definition

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This review comprises of the chemical formulations, fundamental and technical aspects of the complete acid zinc plating process. The review discusses the effect of physical and chemical plating parameters, brighteners, carriers and levelers on the throwing power of the plated product. In practice, there are several additives that are added to make an acid zinc plating process efficient. In this article, we talk about their influence solely on the throwing power. The effect of Tiron and SiO2 nanoparticles on the throwing power of acid zinc bath is also investigated in the article.

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 Keywords

Electroplating, acid zinc plating, throwing power, nanoparticles, colloidal silica, tiron, additives

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Creative Commons Attribution 4.0 and The Open Definition

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Technical advancement has given a backseat to the writing activity, but we cannot underestimate the importance of writing skills. Writing is the most difficult of the language skills. It is a skill in which we produce a sequence of sentences arranged in a particular order. It is a production skill involving, manipulating, structuring, and communicating, Learning to write in English is a mode of communication. In the present world scenario, whether you like it or dislike it, learning English has become mandatory to perform better and to march ahead in this competitive world. A teacher has to prepare the learner to develop their writing skill in real-life settings. But many times, this learning becomes examination-oriented. Learning to write is not just a natural extension of learning to speak a language. A close relationship between writing and thinking makes writing a valuable part of any language course. Writing is one of the most demanding skills, which has to be deliberately cultivated.

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Why are our Students Unable to Write in English

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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KEYWORDS: Ocimum sanctum L., Ethanolic, E.Coli - Escherichia coli., Bacillus subtilis, Yeast - Saccharomyces cerevisiae, Microliter, Inhibitory concentration.

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COVID-19 is extremely infectious that spreads quickly from across the world, making early diagnosis critical. COVID-19 diagnosis is critical. Numerous investigations have been performed to ascertain if patients' chest X-rays, as well as computed tomography (CT), scans reveal COVID-19 infection. COVID-19 illness results on computed tomography (CT), as well as X-ray imaging, are like those of other lung infections, making it problematic for medical experts to differentiate COVID-19. The purpose of this research has been to determine the role of machine learning, deep learning, or pictures processing within fast or precise identification of COVID19 from two of the most frequently used medical imaging modalities, chest X-ray or CT pictures. We evaluated performance of ML and DL techniques on chest X-ray pictures as well as CT scans to COVID-19 diagnosis in this research. The proposed convolutional neural networks (CNNs) using the Alexnet Model for CAD of coronavirus from CT and X-ray pictures. The efficiency of this technique was checked on the data set obtained. We classified COVID-19 CT & X-ray scans as well as examined the evolution of the condition of the patients via CT scans. Accuracy of these techniques varied from 93.25 percent to more than 99.82 percent, suggesting that machines, as well as deep learning methods, apply to the clinical diagnosis of COVID-19. The trials carried out in this research have shown the efficacy of the pretrained COVID-19 alexnet model of CNN.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, Machine Learning, Deep Learning, CNN, Alexnet Model.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Lower Caste, Dalit, Sufferings

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Creative Commons Attribution 4.0 and The Open Definition