Volume 11 | Issue 5 |

 Abstract

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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 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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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 Keywords

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

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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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The ability to type in multiple languages has become a necessity in today's globalized world. Language is one such language that is widely spoken in India and neighboring countries. However, typing in Language can be a challenge for many people who are not familiar with the Language keyboard layout. To make Language typing easy and convenient, we have developed an online Language typing software that provides free and accurate English to Language typing. Our software is userfriendly and easy to use, and you don't need to remember the complex Language keyboard layout or practice Language typing for days. Once you finish typing, you can copy the text and paste it into your desired location or share it on social media platforms. This report provides an overview of our online Language typing software and its features. We discuss the importance of Language typing in today's world and the Language alphabets used in our software. Our software is designed to make Language typing accessible to everyone who wants to learn and type in Language. We believe that our typing tool will be useful for anyone who wants to communicate in Language, and it will help promote the Language language globally

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Easy typing, Transliteration, Language typing, SEO

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Covid 19 and the lockdown it entailed, pushed people indoors, denying them, at least for a while the freedom of relishing food from restaurants and eateries. In the metropolitan spaces, ordering of food online, to some extent, satisfied the urge to eat from people's favourite food joints. A plethora of literature on food, nutrition, healthy eating and cuisine too came out, indicating that food as a primal urge continues to be infected by the Covid 19 threat. Another form of culinary dynamism was the trying of new dishes and sharing their recipes with the fellow gastronomical enthusiasts. This paper is an attempt to examine a few culinary writings such as features, blogs and recipes which have come out during the pandemic days to show how they represent culinary identities and creative affirmation. It also analyses how food and food writing have been modes of tiding over the viral anxiety. Also within the purview of the paper is the scrutiny of home and internet as transformative culinary spaces. The paper analyses the selected narratives from the vantage points of Culinary Studies, Culinary Semiotics and Identity Studies.

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 Keywords

food studies, food practice, culinary experience, pandemic

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Creative Commons Attribution 4.0 and The Open Definition

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Crime is a deed that is based on an offensive act, but to overcome such offensive acts it has always been necessary to utilize different means to minimize them in a short period of time. Some of these crimes result in danger to both the environment and human life. A mobile application will be developed using React JS for notification on weapon detection. Thus, this project helps in effective detection of weapons at public places in real time applications.

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 Keywords

Weapon, Detection, Gun, Knife

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Creative Commons Attribution 4.0 and The Open Definition

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When a fault occurs, the insulation path and the conductive path are cut, causing a short circuit and open circuit in the conductor. At best, the electronic device operates at the same voltage and measured current. However, in the wrong case, the voltage and current values deviate from their values. Most of our electrical power comes from switching devices and relays, circuit breakers, fuses, etc. protected by protective equipment such as to reduce service due to power outage after a problem occurs. In this project, the web server has been used as an error detection system and it has been shown that there is a problem in the transmission. The proposed system consists of various protection devices, power and current measurement section, microcontroller section, LED display section and web server. The system will help the power plant and the maintenance personnel in the region to find the faults in a short time and prevent the generator from being damaged. In this system, there are many devices such as current transformers, voltage transformers, microcontrollers, relay ICs, voltage regulators. The system automatically detects, identifies and classifies errors with the help of a microcontroller. The system also provides information about what kind of fault has occurred in the transmission line, for example L-L (line to line), L-G (line to earth), L-L-G (two lines to earth) faults, L-L-L and L-LL-G (symmetrical errors). And the data is sent from the web server to the service provider's substation. Here in this paper, we developed a microcontroller-based transmission error detection system that sends information and error distribution from the web server to the distribution system. It also sends current and voltage values to the panel.

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 Keywords

WEB SERVER,TYPE OF FAULT,DISCONNECTION,DETECTION

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In the twenty-first century, fashion has evolved into a way of life .Depending on physical stature, gender, as well as social and geographic factors, the amount and style of clothing worn might vary. For the majority of individuals, the in-store buying experience is still what comes to mind when they think of shopping. Customers can try on clothing in real time, but this process takes too long when there aren't enough trial rooms. Our goal is to create an engaging, interactive, and incredibly realistic virtual system that allows users or customers toselect from a wide variety of clothing designs before simulating those outfits on virtual people. In this paper, Deep neural network is used for pose detection and human parsing then Generative adversarial network is used for virtual dressing. The Virtual styling room using live video feed project may alter how a person shops for and tries on clothing. Customers can try on a wide range of items without actually wearing them by utilizing the idea of "Virtual Reality." The benefit of doing things this way is that it would take less time and effort to physically try the garments on. This project aids in market management, reducing the requirement for customers to try on each and every article of clothing. Additionally, retailers can save time and space by not keeping a large inventory on hand.

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 Keywords

Virtual Reality, Deep Neural Network, Generative Adversarial Network

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