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Emotional Maturity and Self-Perception Among Adolescents Living With HIVNeed for Life-Skills Intervention
Among Adolescents Living With HIV (hereby referred to as ALWH), emotional maturity and self-perception gain importance because they play a decisive role in the overall development into adulthood. This study examines the relationship between self-perception and emotional maturity among ALWH. The sample comprised of 92 male and female ALWH, aged 13 to 18 years. Self-Perception Questionnaire and Emotional Maturity Scale were the tools used. Descriptive and inferential statistics were used for analysis. Correlation analysis showed a negative moderate relationship between Physical Competence and Global Self-Worth dimensions of self-perception and emotional maturity, with regression analysis confirming their predictive abilities. Discussions are focused on the relevance of the findings in terms of a need for a psychosocial life-skills intervention for the population. The Author(s) 2019. -
Enhancing CNN Weights for Improved Routing in UAV Networks for Catastrophe Relief with MSBO Algorithm
UAVs have become key in various applications lately, from catastrophe relief to environmental monitoring. The plan of powerful and reliable directing protocols in UAV networks is seriously hampered by the dynamic and habitually eccentric mobility patterns of UAVs. This study proposes a novel technique to beat these challenges by utilizing the Modified Smell Bees Optimization (MSBO) algorithm to upgrade the weights of CNNs. This studys principal objective is to further develop UAV network routing decisions by using CNNs ability for design recognition and the Modified SBOs optimization abilities. Our methodology comprises of randomly relegating CNN weights to a populace of bees at start, evaluating their wellness by fitness of directing performance, and iteratively fine-tuning these weights utilizing local and global search procedures got from bee searching. Broad simulations and performance evaluations show that our recommended approach incredibly expands the general dependability of UAVs, brings down communication latency, and improves directing productivity. Future exploration in UAV network improvement gives off an impression of being going in a promising direction with the integration of CNNs for pattern recognition and the Modified SBO for weight enhancement. In addition to progressing UAV routing conventions, this work sets out new open doors for machine learning applications of bio-inspired optimization algorithms. 2024 River Publishers. -
Analysing the Impact of Perceived Risk, Trust and Past Purchase Satisfaction on Repurchase Intentions in Case of Online Grocery Shopping in India
The Indian online grocery market has been propelling since last few years. The size of online grocery market in 2020 was estimated as $2.9 billion and it is further anticipated to reach at the compound annual growth rate (CAGR) of 37.1% during 2021 to 2028. Companies such as Amazon, Flipkart grocery, BigBasket, Grofers and Jiomart have been coming up with new attractions for consumers such as providing timely no contact delivery, accepting various digital modes of payment and offering several discounts which have fascinated consumers towards buying their regular grocery from various online platforms. Corona virus has also fuelled up the safety concerns of people; due to which a large section of the citizens are working from home and are dependent on the online platform for various purposes including grocery shopping. This has provided several growth opportunities to the online grocery market. This research investigates about the purchase behaviour of customers towards online grocery shopping. The study aims to understand the purchase behaviour of e-grocery shoppers of India and to examine the association between satisfactions with online purchase, trust on online grocers, perceived risk and online repurchase intention of grocery items. The study uses primary data collected from 555 online grocery buyers. The findings of the study indicate that online customer satisfaction is a significant factor that influences repurchase intentions of online grocery shopping. Perceived risk negatively influence trust as well as repurchase intentions. Trust is found to be a mediating factor between shopping satisfaction and repurchase intentions. The study also builds and tests an online customer behavioural model with actual purchasing behaviour and identifies the continued presence of perceived risk, shopping satisfaction and trust in grocery e-retailing. 2023 IMI. -
A critical analysis of artificial intelligence and the Indian legal framework with special reference to health data protection /
India is one of the largest and fastest-growing markets for Artificial Intelligence technology, with a significant number of startups and established companies developing AI-driven solutions across various industries. However, the legal framework for AI in India is still evolving, and there is currently no specific law or regulation governing the development and use of AI. This lack of regulation creates significant challenges for businesses and policymakers, as it leaves many critical legal and ethical questions unanswered. Artificial Intelligence is rapidly transforming various industries, including healthcare, by providing tools that can help in the analysis and interpretation of medical data. However, the use of AI in the healthcare industry has raised concerns about the privacy and security of personal health information. This research provides a critical analysis of AI and the Indian legal system with special reference to health data protection. -
Influence of emotional intelligence as mediator between workplace spirituality and organisational citizenship behaviour
Spirituality at work has developed as a research discipline over the last decade. There have been a few theoretical studies emphasizing on the significance of the construct. The external and internal factors affecting the relationship of this construct need to be analysed for enabling its newlineimplementation in the business world. The construct needs further empirical studies to establish itself as an implementable HR practice, contributing significantly to the bottom line. Organisational citizenship behaviour is critical for performance amidst uncertainty. Emotional intelligence has newlinebecome more critical in overcoming the challenges faced by the Information Technology (IT) sector in India. This study fills the gap in the current literature studying the influence of emotional intelligence in the relationship between workplace spirituality and organisational citizenship behaviour in the Indian IT sector context. The challenges faced by the Indian IT sector are unique and needs alternative solution to avoid a downfall in the sector contributing majorly to the national GDP. The sample is 800 IT sector employees selected through judgmental sampling. The data is collected by using online survey newlineinstruments. SEM modelling has been used to analyse the data and use the same for development of an implementable model relating the dependent and the independent variables. The findings state that there is a direct and positive relationship between newlineworkplace spirituality and organisational citizenship behaviour. In addition, newlineemotional intelligence mediates the relationship between workplace spirituality and organisational citizenship behaviour. Longitudinal testing of the relationships has been left as the scope for further studies. -
Development of IOT based household health safety system /
Patent Number: 202141012686, Applicant: Dr. R. Kumaravelan.
IoT opens the pathway of modernized health care and safety systems to monitor the physical parameters of the persons. But the emerging count of accidents and deaths occur inside the houses are created the necessity of making real-time monitoring and identification systems to rescue the affected person whoever got injured inside the house. Thus to provide this systematic approach the combination of sensors and the micro-controller unit with IoT will help to provide the accurate and optimistic response for the recovery of the persons injured. -
A novel data mining and machine learning-based framework for cyber security intrusion detection /
Patent Number: 202231027007, Applicant: Lingaraj Sethi.
This survey paper describes a focused literature survey of machine learning (ML) and data mining (DM) methods for cyber analytics supporting intrusion detection. Short tutorial descriptions of each ML/DM method are provided. Based on the number of citations or the relevance of emerging practice, papers representing each method were identified, read, and summarised. Because data are so crucial in ML/DM approaches, some well- known cyber data sets used in ML/DM are described. -
Model between mind share branding factors and trustworthiness /
Patent Number: 202111055024, Applicant: Dr.Vikas Singla.
The importance of Mindshare branding (MB) strategy in building long-term and sustainable psychological links with consumers had been sufficiently highlighted in literature. However, very few research attempted to provide a structured tool for its measurement. This study proposed a 13-point four-factor multidimensional scale which could be used to measure MB formally. Dimensions measuring MB were derived from literature and then examined on different brands in order to achieve a reliable and valid scale. -
Impact on economic activities by adoption of international financial reporting standards by Indian companies
The importance of international accounting practice studies has grown over the past few years in order to meet economic agent demands and to facilitate international business practices. It is essential to understand that international accounting convergence is an important topic for capital market regulators, investors, markets, governments and all others who deal with financial information of public companies. This brings out the importance of accounting as being an essential fiscal tool for various economic agents. The merit of international accounting convergence lies in its ability to minimize negative effects resulting from diversity of accounting practices in different countries (Cordeiro et al. 2007). In such a scenario, the introduction of International Financial Reporting Standards (IFRS) for listed companies in many countries around the world is viewed as one of the most significant regulatory changes in accounting history (Daske et al. 2008). -
Evaluation and analysis of quality in e commerce (B2C Website) /
There has been a phenomenal growth in Ecommerce in the last few years and it is still growing. As the market is expanding, more and more organizations want to have web presence. Due to sudden and rapid demand in Ecommerce website, website development companies are ignoring or skipping the quality factor. Apart from this, due to popularity of Internet, more and more consumers are buying products and services through ecommerce websites. The software development companies want to delivery the products quickly, to make fast money. To meet the deadlines, usually the quality of the product is not taken as a priority, resulting in a product full of bugs, being shipped to the customers. Once the software becomes live, more and more bugs keep coming resulting in loss of business and credibility of the organization is affected. Lack of quality Ecommerce websites result in consumers moving back to the alternate methods of shopping or switching to another website. With the increase in the competition, companies have started studying the consumer behavior and determining the factors that affect the quality of Ecommerce websites form the consumers perspective. During these years, several lessons have been learned about the technology, business and economy of Ecommerce. -
A prospective study on portrayal of rural theme in selected Tamil films /
Tamil film industry is popularly known as Kollywood. It has its own unique elements which makes it different from other film industry in Indian cinema. The researcher has tried to find out if there is any kind of rural element in the films which she has chosen in chronological manner. The researcher has analyzed based on certain concrete parameters. -
Mechanisms Linking Gratitude to Life Satisfaction among Adults : A Mixed - Methods Study
The study examined the relationship between gratitude and life satisfaction in educated adults in an Indian context and the mediation of affect, schema and coping. The sample comprised 711 males and females (18-45 yrs). The research utilised a sequential explanatory mixed methods design, incorporating a follow-up explanation model (Creswell & Creswell, 2017). The initial quantitative phase addressed research questions concerning how the selected variables mediate the relationship between gratitude and life satisfaction. Mediation analysis revealed that positive affect and positive self/others partially mediated the relationship between gratitude and life satisfaction. There is no influence of gender in the role of gratitude in life satisfaction. The quantitative data held significance as it served as the foundation for subsequent qualitative analysis. The two-phased data collection facilitated a comprehensive exploration of the research questions, and integrating quantitative and qualitative data provided a better understanding of the relationships under investigation. A semi-structured interview was designed in the qualitative phase, incorporating insights from the survey results. The interview questions explored participants' perceptions and experiences regarding how various factors contribute to connecting gratitude with life satisfaction. A thematic analysis was performed to recognise the themes expressed by the participants, as outlined by Braun and Clarke in 2013. Three broader themes were derived, incorporating the 14 categories identified through coding. The three identified themes from the qualitative analysis are: 1. Life satisfaction through positive emotions; 2. Self-oriented schema promotes a sense of satisfaction, and 3. Positive connections with others enhance happiness. The qualitative data enrich our understanding by illustrating how participants who prioritise others' well-being and maintain meaningful social connections experience enhanced happiness. The quantitative findings are reinforced by the qualitative insights, which highlight that positive emotions serve as an emotional bridge that connects the feelings of gratitude to an overall sense of happiness, enhancing life satisfaction. This integrated approach enhances our understanding of how gratitude influences emotional well-being, ultimately contributing to overall life satisfaction. The identified themes of life satisfaction through positive emotions, self-oriented schema, and positive connections with others yield valuable implications. Implementing gratitude-focused interventions offers actionable steps for individuals, educators, and mental health practitioners to enhance overall well-being. -
The elements of culture and their effectiveness in advertising /
Advertisements are considered to be one of the most effective ways of promoting a product or a service. Though it has a high impact on people on its own, it uses different techniques to attract its viewers. One of the effective ways of penetrating a consumer's mind has been through his/her culture. Culture has been present in all advertisements since years. Cultures in advertisements were either set to change the audiences' or the local culture was incorporated in advertisements for a better impact. -
An IOT enabled seats management system of moving bus transportation and method thereof /
Patent Number: 202111041762, Applicant: Mr. Chandan Choubey.
The present invention discloses an IoT Enabled vacant seats management system of moving bus transportation and method thereof. The system and method include, but not limited to, a handheld device with a user interface to view the desired bus on the route available for commuting and checking the vacant seat information in real-time; a GPS unit provided with the handheld device and a communication device, which is installed at bus stand; an infrared sensor to detect further movement and number of the commuters entered the bus in conjunction with a camera device. -
Self-regulating fermentation device /
Patent Number: 202211013682, Applicant: Javin Harpal Singh Kaundal.
A self-regulating fermentation device (100) comprising an outer shell (102) housing a container (104); a lid (106); a sensor (108) configured to sense a temperature of the liquid received within the container (104); a coil (110) configured to heat the liquid placed inside the container (104); a cooling element (112) attached to the lid (106) that is configured to cool down the liquid placed inside the container (104); a controller (114) configured to receive temperature of the liquid from the sensor (108). -
Software bug in identification and prediction through software are metrics in object oriented protects :
In the software engineering, quality assurance plays an important role. newlineThe quality assurance as an activity, observes the execution of software project to ensure that the behavior of product is in accordance with the expectations. The testing is associated with quality assurance activities. The testing takes a lot of time and an effort of the tester to test the test newlinecases. Even after enough manual or automatic testing, bugs remain uncovered because of lack of time. So, a need arises to focus on this area to save the time and cost of the organizations. The software developer or newlinetester should be aware about the main reasons of software bugs so that they can focus on the right part of the code at the right time. Need of introducing product, process and project metrics is also very essential for newlinethe identification of major causes of bugs. Predictions will always be best if the history of project is taken into consideration. We can come up with accurate predictors with the help of root causes of the software bugs. Several bug prediction models can use bug indicators as the input of model to predict the number of bugs. newlinePrediction attempts to provide quantitative measures to help the software testers and developers. With more number of bug indicators, a step can be taken towards wider horizon of bug prediction thus enabling higher devotion to improve quality of software products. Therefore, identification of several reasons of software bugs and implementation of effective bug prediction models are needed to widen the scope of bug newlineprediction approaches and to improve the software quality. After estimating the future bugs using prediction models, awareness of bug severity is also required to avoid the expected harms to software products. newlineIntroduction of Artificial Neural Network (ANN) was needed to improve the prediction potential. In this work an attempt has been made to associate different levels and types of inheritance through neural network newlineby establishing a correlation framework with diverse types of bug severitie. -
Image Steganography Using Discrete Wavelet Transform and Convolutional NeuralNetwork
The practice of steganography involves concealing messages within another thing, which is referred to as a carrier. Is thus performed in order to build up a covert communication channel in a rather way that any observers whom has access to such a channel will not be able to detect the act of communication itself. In this research, using the process of stenography, a secret text is transferred across a communication channel using an image as a cover. Discrete Wavelet Transform (DWT) and Convolutional Neural Network (CNN) is used in the above process. The encoding and decoding operation is done by using DWT while the preprocessing and training of images is done by CNN. The training and prediction rate of CNN is 72.4 %. 2022 IEEE. -
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A Novel Approach for Linguistic Steganography Evaluation Based on Artificial Neural Networks
Increasing prevalence and simplicity of using Artificial Intelligence (AI) techniques, Steganography is shifting from conventional model building to AI model building. AI enables computers to learn from their mistakes, adapt to emerging inputs, and carry out human-like activities. Traditional Linguistic Steganographic approaches lack automation, analysis of Cover text and hidden text volume and accuracy. A formal methodology is used in only a few Steganographic approaches. In the vast majority of situations, traditional approaches fail to survive third-party vulnerability. This study looks at evaluation of an AI-based statistical language model for text Steganography. Since the advent of Natural Language Processing (NLP) into the research field, linguistic Steganography has superseded other types of Steganography. This paper proposes the positive aspects of NLP-based Markov chain model for an auto-generative cover text. The embedding rate, volume, and other attributes of Recurrent Neural Networks (RNN) Steganographic schemes are contrasted in this article between RNN-Stega and RNN-generated Lyrics, two RNN methods. Here the RNN model follows Long Short Term Memory (LSTM) neural network. The paper also includes a case study on Artificial Intelligence and Information Security, which discusses history, applications, AI challenges, and how AI can help with security threats and vulnerabilities. The final portion is dedicated to the study's shortcomings, which may be the subject of future research. 2013 IEEE.