Volume 11 | Issue 5 |

 Abstract

Abstract ABSTRACT E-banking has emerged from such an innovative development. The objective of the present paper is to study on customer attitude of SBI E-banking services The E-banking is an application that has been developed for a well-established regional bank operating primarily in India. In the world of this competitive environment and technological development, the bank has been totally computerized in the last 10 years, and to increase its customer base has started planning, for a concept called as E-banking; with this concept the bank wants to move very nearer to the customers and increase its basic operational strategies. Through E-banking the bank wants to introduce the core concept of IT based Enabled Services (ITES). The E-banking services are executed only upon the customer, and these E-banking services would fully integrate with the core banking solution that is already in usage. The major idea is to provide a series of services to the customer through the ATM, Mobile banking and make the customer feel flexible in calling out simple tasks faster instead of making visit to the bank every time.. This study helps to find out that the impact Awareness about of Digital banking services to the customers have moderate level of satisfaction through the Banking services.

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KEYWORDS: E-banking Services, ATM, Impact of Digital Banking Awareness

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This paper presents the recent development in automatic vision based technology. Use of this technology is increasing in agriculture and fruit industry. An automatic fruit and Vegetables quality detection system for sorting and grading of fruits and defected fruit detection discussed here. The main of this system is to replace the manual inspection system. This helps in speed up the process improve accuracy and efficiency and reduce time. This system collect image from camera which is placed on conveyor belt. Then image processing is done to get required features of fruits such as color and size. Defected fruit and Vegetables is detected based on image pixels. Sorting is done based on color and size.

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Adulteration in Fruits And Vegetables

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An abstract for a web server log analysis would describe the major features and functionality of a web development logging solution. The goal of web server log analysis is to give developers an effective mechanism to log and track faults and other key events in their web applications. Log files have become a typical component of large applications and are required in operating systems. It may make it easier to identify unknown IP addresses that assault the system.

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Log files, web, server

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The junction structure performs an important role in the operation of a combined flow.In the first step,one-dimensional hydrodynamic simulation was executed for the main and lateral inflow.The simulation results were presenting the open surface elevations of the fluid flow.In the next step,a 3D fluid flow model was built based on a steady state simulated flow using CFD analysis.The resulting velocity and turbulence distribution were showing the critical points of the structure and the joining conduits.

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fluid dynamics,combined flow,CFD,velocity,pressure,ANSYS

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Nagaland, situated in the Northeastern region of India, became the 16th state of India on 1 December 1963. As per the Census (conducted in 2011), the state which has a total area of 16,579 square kilometers, has a population of 1,980,602, making it one of the smallest states of India. Easterine Kire, a renowned Naga writer who is known to write the first Naga novel in English, is a prominent personality who has actively been engaged on various educational platforms. But at various places her discourse has been full of xenophobic elements in it. Taking up two instances of the same, the present paper is a response to the kind of depreciation shown by Kire of a section of society, and how it is disappointing, unacceptable and highly detrimental to the various efforts made by the Indians within the state as well as outside, to eradicate the antipathy which has prevailed in the past times. The present paper is also an appeal to the prominent social/literary figures to refrain from provocative discourses which may involuntarily may induce the unwanted and unnecessary racial, communal and ethical tensions in the society.

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Easterine Kire, Naga Literature, Culture, Xenophobia, Social Responsibility

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The prevalence of people sharing their opinions on social media, Twitter, and restaurant review websites has led to sentiment analysis becoming a popular research topic in natural language processing. Sentiment analysis involves extracting useful information from text data and categorizing it into different labels based on sentiment. This paper discusses the development of supervised machine learning techniques for classifying consumers' words used in their restaurant experiences. The dataset was collected while keeping legal and ethical issues in mind and was preprocessed to prepare it for classification. Supervised machine learning classifiers were then applied to the prepared dataset to build an automated system that classifies text sentiment based on sentence polarity (positive or negative). The paper presents a successful machine learning approach for predicting sentiment (positive or negative) in consumers' restaurant experiences, achieving better accuracy using the Support Vector Machine classifier among other classifiers.

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Machine Learning, Legal, Ethical, Restaurant Review, Support Vector Machine, Decision Trees.

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Full paper

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Sarvagnana vachanagalalli iruva moulya jeevanakke hattiravaguttave embudagi tilisuvudagide

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Study Design: Cross-Sectional Study. Objective: To study the disability and pain grades of the lower crossed syndrome in young adults. Background: Lower Crossed Syndrome also known as the distal crossed syndrome is due to an imbalance in the strength of muscles in the lower region. A specific sequence of tight hip flexors & lumbar extensors in combination with weakness of deep abdominal muscles & gluteus maximus leads to this condition which in turn can progressively lead to disability and severe pain. Hence, this study aims to find out the disability and pain grades of the lower crossed syndrome in young adults. Methods: In this study 30 male and female patients between the ages of 21 and 31 years were diagnosed with Lower crossed Syndrome with MMT, Goniometer, and Flexi curve. Patients were asked to fill out the Oswestry disability index questionnaire to measure the disability grade and pain intensity via the NPRS questionnaire. Conclusion: The majority of the population was found to be moderate and severely affected by LCS in terms of disability according to Oswestry Disability Index and the Maximum part of the population had severe pain intensity according to the Numeric pain rating scale.

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Lower Crossed Syndrome, LCS Disability Score, Distal Crossed Syndrome, Lower Crossed Syndrome Disability

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 Abstract

Background: Corona Virus Disease 2019(COVID-19) is a contagious disease caused by severe acute respiratory syndrome corona virus 2(SARS-COV-2). The first case was identified in Wuhan, China, in December 2019. It has since spread worldwide, leading to an ongoing pandemic. Small droplets and aerosols containing the virus can spread from an infected person's nose and mouth as they breathe, cough, sneeze, sing or speak. The virus may also spread via contaminated surfaces, although this is not thought to be the main route of transmission. It can spread as early as two days before infected persons shows show symptoms and from individuals who never experience symptoms. People remain infectious for up to 10 days in moderate cases, and two weeks in severe cases. Symptoms of COVID-19 are variable, but often include fever, cough, fatigue, breathing difficulties, loss of smell and taste. Symptoms begin one to fourteen days after exposure to the virus. Various testing methods have been developed to diagnose the disease. The standard diagnosis method is by real- time reverse transcription polymerase chain reaction (RT-PCR) from the nasopharyngeal swab. Several vaccine erase chain reaction (new have been developed and various countries have initiated mass vaccination campaigns. Although work is underway to develop drugs that inhibit the virus, the primary treatment is currently symptomatic. Management involves the treatment of the symptoms, supportive care, isolation and experimental measures. Preventive measures include physical or social distancing, quarantining, and ventilation of indoor spaces, covering while coughs and sneezes, hand washing and keeping unwashed hands away from the face. The use of masks or covering has been recommended in the public setting to minimize the risk of transmission. Aim: 1. To assess the pre-test knowledge scores regarding the Corona Virus Disease (COVID-19) among the General Nursing Midwifery (GNM) students. 2. To assess the post-test knowledge scores regarding the Corona Virus Disease (COVID-19) among the General Nursing Midwifery (GNM) students. 3.To compare the pre-test and post-test knowledge scores regarding the Corona Virus Disease (COVID-19) among the General Nursing Midwifery (GNM) students. 4.To find the association between the pre-test knowledge scores regarding the Corona Virus Disease (COVID-19) among the General Nursing Midwifery (GNM) students with selected Demographic variables (age, source of information, residence). Methodology: Thirty (30) GNM students were selected to conduct this study at the Ancillary Medical Training School, Shireenbagh, Srinagar, Kashmir. Quantitative approach was adopted. A pre-experimental one group pre-test post-test design was used in the present study to accomplish the objectives. Simple random sampling technique was used for the selection of 30 GNM students from the accessible population. The prepared tool (structured knowledge questionnaire) and the intervention (structured teaching program) was validated by a panel of experts. Pre-testing of the tool and intervention was done to check for the clarity and feasibility. Pilot study was conducted to assess the feasibility of the study. The main study was conducted from 26-0302021 to 01-04-2021. Data was collected by the administering structured knowledge questionnaire. After collecting data structured teaching program was administered to the subjects and on the 5th day post-test was conducted by using same structured knowledge questionnaire. The data was analyzed by descriptive and inferential statistics using chi-square and t-test. Results: The findings revealed that majority of the study subjects 18(50%) had good knowledge, 12(40%) had very good knowledge and none of the subjects had neither average nor below average knowledge with post-test mean score 30.00 which was significantly higher than the mean pre-test knowledge score of 20.22. Study concludes that there was gain in knowledge among students after importing structured teaching program. The study also concluded that there was statistically no association was found between Age in years, Residence, and source of information of students with their pre-test knowledge scores (p>0.05).

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Key words: Impact, Structured Teaching Program, Knowledge, Corona Virus disease (COVID-19), GNM Students.

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The rapid pace of advancement in the perspective of healthcare phenomenon has been accelerated with the recent pandemic. There has been a greater focus over the medical aspects of the environment and diagnostics that has made people and other healthcare professionals more aware about their wellbeing. It has been noticed that a large assortment of devices have been developed in the last decade that facilitate the monitoring of the patients. These devices have been getting smaller and increasingly accessible to the larger audience and has stepped out of expensive equipment that a large number of regular users can afford these devices. This allows for the larger implementation of such Internet of Medical Things sensors allows for remote diagnosis and consultation which is widely believed to be an efficient form of development. But such devices due to their footprint can become increasingly insecure and this is reason this approach defines an effective mechanism for increasing its security. The proposed approach implements, RCC encryption and Amazon RDS along with bit mapping and forensic report generation to achieve increased security for the IoMT data which has been quantified through rigorous experimentations.

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Internet of Medical Things, Public Cloud, Medical Health Records, Cryptography, Search over encrypted data.

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