Browse Items (16481 total)

Flourishing and work flow among working adults: A positive investigation from India

The demands in today's organizations are only growing at peaking high levels where turnover and burnout sets out to be major factors that challenge productivity. This is supported by previous findings which have identified turnover and burnout as a consequence of job demands. In today's demanding era of workforce, capacity to work effectively is a key component of employee's health, well-being and growth. Positive emotional and mental state of employees is a predictor of positive organization which will result in high performance, wellbeing and a conducive environment to flourish. Present study deals with workflow and its relationship with employee`s flourishing. This paper aims to explore the relationship between flourishing and experiences of work flow among working adults (n=105). Relationship among variables was analyzed through correlation and regression analysis. Results indicate that there is significant positive correlation between flourishing and experience of work flow (r (105) = 0.49, p<.01) and experience of work flow predicts the flourishing among employees. 2021 Ecological Society of India. All rights reserved.

A Study of Investment Behavior Of Economically Weaker Section (EWS) Investors

While investing, it is most important for an investor that he/she understand and follows the basic principles of investing to gain maximum advantages out of it. The present study analyzes the investment behavior of 190 economically weaker section (EWS) investors and rank their preferences and reasons using Garret ranking. The study observes that investors prefer to invest in traditional investment avenue over modern avenue due to lack of awareness and ease of investing across demographics. Results of ANOVA inform a small shift to mutual funds and change in perceived risk and return behavior in selected age, income and education category. The study recommends for opening of dedicated small financial planning centers/branches/kiosks etc to increase their awareness level and participation so that they can gain maximum advantages from their investment. The Electrochemical Society

APPLYING SOLUTION-FOCUSED BRIEF THERAPY IN COGNITIVE REHABILITATION: Insights from Positive Neuropsychology

Neurocognitive rehabilitation refers to the procedure involved in helping patients recover or regain some of the lost functions of the brain after an internal and external injury. Specific psychotherapeutic procedures are also combined with these rehabilitation strategies for the maximum benefit of the patients. Solution-focused brief therapy (SFBT) is a psychotherapy that allows clients to focus their attention on the solution rather than exploring the origin of the problem and focusing on their strengths and resources. It is a brief therapy based on a positive psychology approach. The traditional cognitive rehabilitation techniques focus on deficit remediation, while SFBT offers a strength-based approach that focuses on the clients resources, exceptions to the problems, and goal-oriented behavior. The integration of these approaches will bring a shift in the paradigm of neurorehabilitation by providing a balance between cognitive challenges and preserved strengths. In the realm of cognitive rehabilitation, SFBT can empower individuals with neurological impairments by fostering resilience, adapting coping strategies, and self-efficacy. This chapter explores the innovative application of SFBT principles within cognitive rehabilitation settings, which can be viewed from the lens of positive neurorehabilitation. It will also propose a framework for integrating the CAPE model (Compensatory, Activity, Preventive & Enhancement) with salient principles of SFBT, emphasizing the potential role of positive neuropsychology in cognitive rehabilitation. 2026 selection and editorial matter, K. Jayasankara Reddy; individual chapters, the contributors. All rights reserved.

Exploring ethical and cultural considerations in metaverse-based digital marketing

New opportunities for digital marketing have emerged with the emergence of the metaverse, a virtual setting where users can communicate with one another and other digital beings. This article tries to investigate the cultural and ethical issues of metaverse-based digital marketing. It is crucial to consider the ethical ramifications of these behaviours as marketers increasingly use the metaverse as a platform for connecting with and engaging with consumers. This cover concerns including consent, data security, and privacy. The massive collection of personal information in the metaverse raises questions regarding its use, storage, and security. It becomes crucial to provide openness, responsibility, and user control over their data in order to preserve consumer and marketer confidence. Cultural factors are as crucial for digital marketing that uses the metaverse. The metaverse is a worldwide network with participants from many racial and cultural origins. Marketing professionals must be aware of cultural conventions, beliefs, and sensitivities in order to prevent unintentionally offending people or feeding prejudices. Users may have a terrible user experience and react negatively to cultural appropriation, misrepresentation, and exclusionary practices. Therefore, it is essential for encouraging favourable brand perception and user engagement to include cultural diversity and inclusivity into marketing tactics within the metaverse. This article discusses several ethical and cultural issues that marketers in the metaverse face and suggests solutions. It highlights the requirement for unambiguous moral principles and business norms that are consistent with the principles of user empowerment, privacy, and inclusivity. Additionally, it emphasizes the significance of cultural sensitivity and localization in order to efficiently and politely customize marketing messages to various audiences inside the metaverse. Marketers can design meaningful and genuine user experiences while avoiding potential problems by taking the ethical and cultural aspects of metaverse-based digital marketing into account. This work will aid in the creation of ethical and culturally aware marketing techniques within the metaverse, encouraging consumer participation, trust, and beneficial brand-customer connections in this new digital environment. 2025, IGI Global Scientific Publishing. All rights reserved.

Models for analyzing the impact of leadership and followership values on organizational outcomes

Followers have been the center of organizational focus in modern structure. The activation of followership could be a sign of successful leadership. Leaders must begin to understand the types of people they lead. Team members identify themselves as a unit and practically plan organizational development and progress to achieve similar strategies and objectives. The development of a leadermember exchange is based on characteristics of the working relationship as opposed to a personal or friendship relationship. Leaders create unity through demonstration of group-mindedness by making more references to the collective history, the collective identity and interests, and collective efficacy. The more leaders augment follower identification (through role modeling or group socialization), the more followers will likely experience higher feelings of ownership and responsibility. This paper is intended to characterize the types of followers that might exist in organizations and establish an integration of followers classification. 2026 selection and editorial matter, Mukesh Kumar Awasthi, Ashwani Kumar, Manoj Gupta; individual chapters, the contributors.

A method for generating a unique identifier and system for verifying it /

Patent Number: 202111040160, Applicant: Dr. Akhilesh Tiwari.A method for generating a unique identifier and system for verifying comprising card holder (201) ; merchant (202); credit card issuer (203); account identifier number (204); goods/services (205); authorization (206); wherein smart card (100) comprising a display (101) in communication with the central processor, memory (102) in communication with the central processor, keyboard (103) in communication with the central processor, biometric interface (104), central processor (105).

Desk organizer /

Patent Number: 350152-001, Applicant: Vaibhav Tripathi.

USB and wireless mouse with left thumb scroll /

Patent Number: 350151-001, Applicant: Sanjay Rastogi.

Financial market data establishment for effective finance data system /

Patent Number: 202111056642, Applicant: Nitin Kulshrestha.
The present invention relates to a financial market data establishment for effective finance data system. Herein matching engine message stream generator of an electronic exchange platform generates protocol-specific market data messages use and includes a first interface created on a reconfigurable logic device that receives matching engine message(s) with a source specific format from a matching engine.

Intelligent Smart Waste Management Using Regression Analysis: An Empirical Study

The term deep learning is seen as an important part of artificial intelligence that allows the system to understand and make decisions without special human intervention. In-depth learning uses a variety of statistical models and programs that allow different computational properties to reach the highest point. It is estimated that the market development of artificial intelligence and technology for deep learning will amount to USD 500 billion by 2026. The use of advanced technology, such as neural networks, enables better image recognition and the use of automated processes for deep operations. The main purpose of the study is to understand the critical determinants of Deep Learning in Creating a better City through Intelligent Smart Waste Management, the major determinants cover: System usability scale, Implementation of RFID sensors and Optimizing route selection. The proposed work is that implementation of advanced tools like deep learning methodologies and machine learning tools can support in managing the waste in a smart way, this will enable in creating better cities, enhance the environment and support sustainable living. Smart cities today need to use tools like deep learning and other artificial intelligence to effectively manage waste. Smart vessels are mainly controlled and implemented, which makes it easier for users to open vessels, it is also suitable for storing solid and dry waste, but provides information on the total degree of filling, can share data and information with central waste management service, you can collect waste quickly and avoid flooding. To achieve this, governments, administrators and communities are introducing sensors that transmit data and information to the waste management company in real-time and take appropriate action. 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Multilingual Sentiment Analysis of YouTube Live Stream using Machine Translation and Transformer in NLP

YouTube has become one of the all-inclusive video streaming sources on the internet. Today, the news is streamed on YouTube, marketing of a product is done live on YouTube and it has become a platform for one of the biggest PR producers for companies. Various companies have proposed an optimized way of understanding and getting the opinions of the viewers from YouTube live chat and find the best possible way to provide relevant and informative content to boost the business strategy. This study uses Natural Language Processing (NLP) based approach along with NLP transformers to classify and analyses the sentiment. 2022 IEEE.

Application of AI in video games to improve game building

Video Games Industry has been welcoming AI like any other industry for various tasks, AI in gaming helps to convey a much more realistic gaming experience, amplify player interaction and satisfaction over extensive periods. Additionally, the gaming industry is utilizing Artificial Intelligence to liberate its staff by making game development automated, quicker, and less expensive. In this work an experiment is described using Deep Neural Network and Statistical techniques for forecasting the location of an object in future frames of a video, it focuses on the engineering phase of the game, the proposed model combines future prediction of object location which helps to build the infinite universe in the videogame without any additional videos frames of the input video or hard coding any scenes to build the scenes further. 2021 IEEE.

Therapy recommendation based on level of depression using social media data

Social media is a massive platform with currently over 100 million registered users. It is a platform where individuals express themselves along with their interests. These expressions of individual can be used to identify their mental status. That being said, depression and anxiety are the dominant cause for illness and ill-health across the world. Studies show that users mental health can be predicted by their everyday use of language. This paper examines the tweets for analyzing the linguistic and behavioral features for classifying the levels of depression among the users. In order to classify the levels of depression, a knowledge base of the words that are associated with depression/anxiety has been created. The model evaluated this using simple text mining techniques to measure the mental health status of the users and provide appropriate recommendations. The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2021.

Role of energy sources in promotion of sustainable development: moderating implications of globalisation

This study empirically investigates the impact of renewable and non-renewable energy generation on sustainable development for a balancedpanel of 68 developed and developing economies from 1990 to 2019. This is done to scrutinise the intricate interplay between energy sources and sustainable development outcomes at the global level. The estimated models also control for the effects of globalisation, urbanisation, and government expenditure. The Westerlund cointegration establishes a significant long-run relationship between the variables under consideration. In this regard, the two-step dynamic system-generalised moment method (system GMM) demonstrates a positive impact of renewable energy, globalisation, and government expenditure on sustainable development. In contrast, non-renewable energy and urbanisation exert detrimental influences on it. However, both the energy sources demonstrate an amplified positive impact on sustainable development under the moderating influence of globalisation. The Feasible Generalised Least Squares estimation also confirms the long-run reliability of these baseline findings. Furthermore, Granger based non-causality test establishes a significant causal relationship between the variables under consideration. Potential policy suggestions for promoting the sustainable development are also discussed. The Author(s), under exclusive licence to Springer Nature B.V. 2024.

Electrically small S-band antenna for cubesat applications

This research paper deals with the design and development of a circularly polarized S-band rectangular patch antenna providing performance suitable for application in CubeSat. A CubeSat is a type of miniaturized satellite used primarily by university research groups for demonstration of technology. They are low earth orbiting sun-synchronous (LEOSS) type of satellites. The design protocol specifies maximum outer dimensions equal to 100 mm00 mm00 mm and weighing a mass between 1.3-6 kg. However, being small in size, they pose some challenges such as low profile antenna, possibility for cross-link communication with other similar satellites and high reliability of communication in a swarm without the prior knowledge of their positions. Additionally CubeSats dictate the space limitation for placing the antenna within it. With all these, it also requires small antenna with high gain and wide directivity. The most suitable antennas that address most of the aforementioned challenges are planar antennas. The design and simulation of the proposed design of electrically small sband antenna for CubeSat achieves gain of 5.01 dBi with a narrow bandwidth of 100 MHz. The analysis is performed using MATLAB and HFSS (High Frequency Structural Simulator). 2017 IEEE.

Role of energy sources in promotion of sustainable development: moderating implications of globalisation

This study empirically investigates the impact of renewable and non-renewable energy generation on sustainable development for a balancedpanel of 68 developed and developing economies from 1990 to 2019. This is done to scrutinise the intricate interplay between energy sources and sustainable development outcomes at the global level. The estimated models also control for the effects of globalisation, urbanisation, and government expenditure. The Westerlund cointegration establishes a significant long-run relationship between the variables under consideration. In this regard, the two-step dynamic system-generalised moment method (system GMM) demonstrates a positive impact of renewable energy, globalisation, and government expenditure on sustainable development. In contrast, non-renewable energy and urbanisation exert detrimental influences on it. However, both the energy sources demonstrate an amplified positive impact on sustainable development under the moderating influence of globalisation. The Feasible Generalised Least Squares estimation also confirms the long-run reliability of these baseline findings. Furthermore, Granger based non-causality test establishes a significant causal relationship between the variables under consideration. Potential policy suggestions for promoting the sustainable development are also discussed. The Author(s), under exclusive licence to Springer Nature B.V. 2024.

Impact of meme marketing on consumer purchase intention: Examining the mediating role of consumer engagement

This paper analyzes an emerging form of social media marketing, meme marketing, which has gained attention for its ability to entertain and engage users. Marketers and companies are recognizing the value of using memes as a tool to connect with consumers. To understand the effects of meme marketing activities, this paper aims to examine the impact of meme marketing activities on consumer purchase intentions and concurrently assess the mediating role of consumer engagement. The study encompassed 452 Indian social media users with active social media accounts and familiarity with memes and meme marketing concepts. It employed a quantitative methodology backed by robust statistical techniques. The method used for analysis was Structural Equation Modeling (SEM) through Analysis of Moment Structures (AMOS) software. The results found that meme marketing activities have a direct and significant positive impact (? = 0.257, p < 0.05) on consumer purchase intentions. It further shows that meme marketing has a direct and significant positive impact (? = 0.745, p < 0.05) on consumer engagement. It shows that consumer engagement has a direct and significant positive effect (? = 0.651, p < 0.05) on consumer purchase intention. However, the indirect impact of meme marketing activities on consumer purchase intentions is also significant, resulting in partial mediation. The study findings hold value for marketing managers, agencies, and companies that interact and engage consumers with memes and undertake meme marketing activities. Navrang Rathi, Pooja Jain, 2023.