PERCEPTION OF INDIAN YOUTH ON DIGITAL ACTIVISM: MOTIVATION, BARRIERS AND RECOMMENDATIONS FOR EFFECTIVE UTILIZATION

The present study draws insights from primary research, examines the existing literature on the subject and uses case studies, with a prime objective to understand the use of social media by youth for digital activism. Thereafter, the paper provides recommendations for effectively leveraging digital platforms to encourage youth participation and activism. This research paper looks at the forms of Digital activism and the ways in which the youth have leveraged digital activism to voice their issues, highlighting their motivations and challenges. To get better insight into the barriers and motivations of youth participation in digital activism, multiple stakeholder conversations and survey of Indian youth within the age group 15-25 years (93 respondents) was conducted to gauge their perception on digital activism. Primary data was collected using an online survey from 93 respondents through a structured questionnaire. Results of this study showed that close to 76.09% of the sample does not engage in digital activism, despite 93.5% of them having a social media presence.

COVID-19 PATIENTS ANALYSIS AND RISK PREDICTION BASED ON LIFESTYLE DISEASES THROUGH INDIAN DATASET

A Novel Coronavirus disease (COVID-19) is a transferable virus triggered by a recently revealed coronavirus. World Health Organization (WHO) declared it as pandemic worldwide. COVID-19 was originated from Wuhan, a city of China and spared over the more than 190 countries over the word. The USA, Spain, Italy, France even India and every country suffered a lot by this epidemic. The indications of COVID-19 are Fever, Cough, Shortness of breath or trouble in breathing, Chills, Repeated shaking with chills, Muscle torment, Headache, Sore throat which is normal as any formal flue which each individual feel during season transition. In this article, the statistical analysis like chi-square analysis, age-wise and diseases-wise classification of recovered and deceased patients are performed and also the different types of Machine Learning models like Multiple linear regression, Naive Bayes Classifier, and Multilayer Perceptron Classifier are proposed for formal analysis and risk prediction of patients with different age group and individuals having lifestyle-based diseases with COVID-19. The dataset used for this study downloaded from covid19india.org, available in .csv format which included travel history of patients, relation with any existing COVID-19 patient, and record of any lifestylebased diseases like diabetes, hypertension, respiratory problem, etc.

COMPARISON OF SOFTWARE COMPLEXITY OF SEARCH ALGORITHM USING CODE BASED COMPLEXITY METRICS

Measures of software complexity are essential part of software engineering. Complexity metrics can be used to forecast key information regarding the testability, reliability, and manageability of software systems from study of the source code. This paper presents the results of three distinct software complexity metrics that were applied to two searching algorithms (Linear and Binary search algorithm). The goal is to compare the complexity of linear and binary search algorithms implemented in (Python, Java, and C++ languages) and measure the sample algorithms using line of code, McCabe and Halstead metrics. The findings indicate that the program difficulty of Halstead metrics has minimal value for both linear and binary search when implemented in python. Analysis of Variance (ANOVA) was adopted to determine whether there is any statistically significant differences between the search algorithms when implemented in the three programming languages and it was revealed that the three (3) programming languages do not vary considerably for both linear and binary search techniques which implies that any of the (3) programming languages is suitable for coding linear and binary search algorithms.

ESTABLISHMENT AND OPERATION OF ACADEMIC BANK OF CREDITS (ABC) IN HIGHER EDUCATION

The NEP, 2020 reiterates the holistic and multidisciplinary education. Even engineering institutions, such as IITs, will move towards more holistic and multidisciplinary education with more arts and humanities. The Academic Bank of Credits (ABCs) shall be a national-level facility to promote flexibility of curriculum framework and interdisciplinary academic mobility of students across HEIs with appropriate credit transfer mechanism. It will enable the integration of multiple disciplines of higher learning, leading to the desired outcomes including enhanced creativity, innovation, higher order thinking and critical analysis. Academic Bank of Credits is essentially a credit-based, and highly flexible, student-centric facility. Students are eligible for Credit transfer, Credit accrual and Credit redemption through ABCs. The present article enlighten the readers with regard to Objectives of ABCs ; Functions of ABCs ; Organizational Structures of ABCs ; Implementation Plan for ABCs ; and Eligibility Criteria for HEIs to register with ABCs. The Regulations presented in this article are called as the University Grants Commission (Establishment and Operation of Academic Bank of Credits in Higher Education) Regulations, 2021 which will be implemented from the academic year 2021-22.

A SURVEY ON AUTOMATIC ATTENDANCE SYSTEM ALONG WITH TEMPERATURE USING IOT

Automatic attendance methods are very helpful for students and workers in order to make use of their time more effectively. Maintaining attendance is the most troublesome assignment in different organizations. In recent days we have seen abrupt increment in the utilization of biometric technology in the fields of IT, education institute, transportation, etc. Internet of things is also blooming parallel. Automatic attendance system is an implementation of internet of things through Arduino ide, thingspeak finger print scanner R305 in order to reduce the time consumed by the traditional attendance method. There are various technologies like RFID, fingerprint and face recognition technologies are introduced in order to save time and reduce efforts. In this paper we are going to compare those technologies and understand which is best among them.

APPLICATIONS OF OPERATIONS RESEARCH IN FORMULA ONE

Formula one is one of the world's most high-paced sports in which a fraction of seconds can cost a win. From the method of calculating the time spent on a pitstop, when the car should come for the pitstop, fuel consumption, race strategy, aerodynamics, mechanics, engine power is all influenced by operation research. The paper aims at different techniques such as optimization and simulation, further discussing the different types of methods used. It provides brief information about the outcomes, drawbacks, and recommendations given for the efficient use of these techniques in the F1 racing world. It also addresses improvements that can be done by logistics, the necessary factors which need to be considered in the simulation model, and so on. The main objective is to study these techniques and provide an overview and limitations of each method, emphasizing the need for additional research to find solutions.

EFFECTS OF WORKFORCE DIVERSITY ON TEAM PERFORMANCE AT MOI TEACHING AND REFERRAL HOSPITAL

Dealing with increasing level of workforce diversity that is within modern employee management of diversity has been progressively a matter of interest to many organization’s management programs that are adopted steadily. The purpose of the study was to establish the effects of cultural diversity on team performance. The study was guided by social identity theory and symbolic interactionist theory. The study adopted a descriptive survey research design. The research targeted 373 respondents comprising of top managers, middle level managers and other employees from Moi teaching and referral hospital Eldoret. For the purpose of getting a representative sample, the researcher used a purposive sampling method to sample top and middle level managers and simple random technique to sample other employees. Questionnaires were used as data collection instruments. A Cronbach’s alpha was used to assess the reliability coefficient of the research instruments. The instruments were pre-tested to improve its validity and relevance to the objectives of the study. The questionnaires were scrutinized for errors and omissions, ambiguity, legibility and relevance. The data was analysed using regression model and presented in tables and charts. The findings of this study indicated that the study variable cultural diversity (p=0.000) had a significant relationship with team performance. Based on the finding of this study, it is recommended that Moi teaching and referral hospital Eldoret to achieve a high level of efficiency and effective in service provision, the management in the company must ensure that adoption of diverse workforce strategies. The study suggests that further research be done on the same field but in other sectors or organizations also further research should focus on other aspects of workforce diversity.

INVESTIGATION ON PREPARATION, CHARACTERIZATION AND PROPERTY EVALUATION OF FGM AL-SI ALLOY CASTINGS PRODUCED BY CAST-DECANTCAST (CDC) PROCESS

Aim of this research paper is to study the microstructural behavior and mechanical properties of Functionally Gradient (FG) layer of Al-Si alloy castings produced by CDC process. The effect of decantation time on the thickness of functionally gradient castings of Al-4.5 wt % Si alloy as an inner layer and Al-Si alloy with 12.5 wt %Si as outer layers was studied by CDC process. The three different combinations of FGM castings were characterized for microstructural and wear behavior using metallurgical characterization and mechanical testing. From the microstructural and wear behavior of FGM casting at outer layer, FG layer and inner layer, it is observed that the FG layer of FGM casting showed very wear resistance compared to other two layers in the FGM casting.

DISTRICT WISE ANALYSIS OF COVID-19 PANDEMIC TRENDS DURING SECOND WAVE IN THE STATE ANDHRA PRADESH, INDIA USING SEIR-RGS MODEL

— Andhra Pradesh is one of the south Indian states in India and having 13 districts. This is one of the most Covid-19 effected state in India during first and second waves. In India district is the major administrative block for implementing government policies and schemes under control of district collector. So, estimating or forecasting trends in district level more important than state wise or entire country wise. In this paper we are proposing Susceptible, Exposed, Infected and Recovered – Regression and Grid Search (SEIR-RGS) model for analyzing Covid -19 district wise trends during second wave. The SEIR-RGS, initially collects daily wise covid data for each district from Department of Health, medical and family welfare, AP and estimates the model parameters like contact rate, incubation rate and recovery rate. To calculate recovery rate the proposed model uses regression technique between daily active cases vs cumulative recoveries. The present model uses two phases for estimating contact rate and incubation rate using grid search approach. After that the proposed method calculates the infectious period, incubation period and basic reproduction of infection in all 13 districts to analyze trends in the state during second wave and also to predict possibility of third wave in each district.

ESTIMATION OF COST AND TIME OVERRUN USING NAVFAC P-405

— In construction industry delays and cost overrun are significant problems so it requires investigation at planning stage. This paper gives introduction to the NAVFAC P-405, US Naval handbook for planning and estimation. This is used for site independent duration calculation and also involves steps on using NAVFAC P-405 in calculating delays. Further a method to calculate cost and time overrun for single activity using NAVFAC P-405 is explained in detail with case study.