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Humour as a moderator of stress and defence based coping mechanisms among the youth of Kerala, India
The goal of this study was to examine the effect of the moderators of adaptive and maladaptive humour on stress and on the four levels of defence based coping mechanism amongst the youth of Kerala, India. Four hundred and fifty-three youth between the age of 18 and 40, selected from two different cities of North Kerala, India (Calicut, Malappuram) and Central Kerala, India (Cochin, Trissur), were asked to fill out three questionnaires assessing stress, coping and humour. Pearson's test of product-moment correlation indicated that stress had a positive and moderate statistically significant correlation with the first three levels of defence based coping mechanism (pathological defences, immature defences and neurotic defences). Furthermore, there was a positive and weak statistically significant correlation between stress and level-IV coping (mature defences). When positive and moderate correlation was found for stress with maladaptive humour, no significant correlation was found with adaptive humour. When coping was studied in relationship with humour, a negative and weak statistically significant correlation was found for level-I coping (pathological defences) with adaptive humour, whereas a positive and moderate statistically significant correlation was found with maladaptive humour. Here level-IV coping (mature defences) was found to have a positive and moderate statistically significant relationship with adaptive and maladaptive humour. Moderator analysis showed that maladaptive humour moderated the association between stress and four levels of defence based coping mechanism. The study implied that youth should be trained to use more of mature means of coping and adaptive humour styles in life. Universiti Putra Malaysia Press -
Humour as a Moderator Between Hassles and Well-Being
Humour is a universal phenomenon that offers several physiological and psychological benefits across cultures. The objectives of this study were to examine the relationships between daily hassles, humour and well-being; and to investigate the moderating effect of humour on the relationship between hassles and well-being. A correlational design was adopted to collect data from 644 participants (men = 300, women = 344), aged between 18 and 58years using purposive and snowballing sampling techniques. The Daily Hassles Scale, Sense of Humour Questionnaire (SHQ-R) and the Personal Well-Being IndexAdult (PWI-A) were administered to the sample. The self-report measures were appropriately scored and the collective data were analyzed. Statistical analyses revealed a positive relationship between sense of humour and well-being. A negative relationship was observed between sense of humour and hassles; and between well-being and hassles. Further, sense of humour was found to be moderating the relationship between daily hassles and well-being. This study highlights the role of humour in softening the impact of hassles on the well-being of the Indian population. This strengthens the construct of humour in the context of positive psychology. The Author(s) under exclusive licence to National Academy of Psychology (NAOP) India 2024. -
Humanoid robot system for assisting elder people /
Patent Number: 202041027734, Applicant: Dr.S Balamurugan.
The present invention based on a humanoid robot for assisting elder people based on their necessity the robot has a four-wheel with two arms which rotate all directions. It will help all time it has combined artificial intelligent it which updates every human activity day by day based on their activities the robot will work and update their behavioral and it will work accordingly. -
Humanizing the Workplace Through STARA: Examining the Roles of Perceived Usefulness and Perceived Organizational Support
This manuscript examines the transformative role of Smart Technology, Artificial Intelligence, Robotics, And Algorithms (STARA) in influencing the trajectory of the future of work, emphasizing the imperative of humanizing the workplace to ensure the longevity of business sustainability. Centred on primary data, a comprehensive literature review scrutinizes modular integrations and explanations, focusing on key variables such as Perceived Usefulness and Perceived Organizational Support. The research employs a conceptual framework to delineate the interplay between STARA, Perceived Usefulness, and Perceived Organizational Support. Methodologically, the research design and data collection methods are detailed, emphasizing the modular integration of measurement instruments. The results are presented, amalgamating crucial findings on the influence of STARA on repercussions for the future of work, emphasizing the incorporation of STARA to foster a more human-centric work environment for business sustainability. Practical suggestions are outlined for companies, accentuating integration opportunities. The conclusion emphasizes the importance of STARA in shaping the future of work, setting the stage for forthcoming research efforts in this dynamic domain. STARA, Future of Work, Perceived Usefulness, Perceived Organizational Support, Workplace Innovation, Business Sustainability. The Author(s), under exclusive license to Springer Nature Switzerland AG 2024. -
Humanizing technology: The impact of emotional intelligence on healthcare user experience
This investigation underscores the importance of humanizing technology within the healthcare sector, with a specific focus on the significant role of emotional intelligence in shaping the interactions between patients and healthcare providers, particularly in the context of advancing healthcare technology. By integrating empathy into medical interfaces and devices, the user experience is fundamentally grounded in human aspects. The study delves into firsthand experiences of patients using emotionally intelligent healthcare solutions that not only meet their medical needs but also address the emotional complexities of illness and recovery. The integration of emotional sensitivity in medical technology strives to enhance patient comfort and foster more open and communicative relationships between healthcare providers and recipients. Moreover, the research presents a framework for emotional intelligence in healthcare technology, encompassing elements such as emotional recognition, response, and management. This framework is designed to promote a culture of patient understanding and support, enabling healthcare technology to adapt to the emotional requirements of patients. In the ever-evolving healthcare landscape,it is essential to recognize the profound impact of embedding empathy in medical technology, ultimately shaping a more empathetic future for healthcare interactions. 2024 by IGI Global. -
Humanising History through Graphic Narratives: Exploring Stories of Home and Displacement from the North-East of India
Literature from the North-East has responded to national, global and local issues, including questions on immigration and ethnic violence. They have resisted the colonial framework of representation and have invoked a sense of cultural and ethnic particularity (Sarma, 2013). This literature has adopted a multilingual register to respond to 1) patriarchal and 2) ethnonationalist discourses that have a forced and overbearing presence in the everyday lives of people and their stories. These writings evoke an ethno-critical approach that engages otherness and difference in such a way as to provoke an interrogation of and a challenge to our familiar realms of experience and is consistent with a recognition and legitimation of heterogeneity (Sarma, 2013). Select stories from First Hand (Volume II, 2018) - The Lonely Courtyard (2018), My Name is Jahanara (2018), and A Market Story (2019) by Kumdo Yumnam provide the heterogeneity that is characteristic of the works of literature emerging from the North-East, thereby resisting the homogeneity often indicative of the term 'North-East'. The analysis will explore how the selected texts negotiate textuality and visuality in a specific manner to present an archive of everyday life that humanises history. 2022 Aesthetics Media Services. All rights reserved. -
HumanComputer Interactions with ArtificialIntelligence and Future Trends of HCIA Study
Artificial Intelligence, the name itself depicts the meaning that providing the knowledge of human to the machine artificially. AI is not a sense or feeling but the software or a model evolved to do complex tasks like human beings. With the invention of computer it has become so easy to do day to day jobs without much effort. HCI is all about interacting with computers. Now-a days it is possible to mesh with the computer through voice, touch, eye movement, and hand gestures. HCI has many challenges but has established in grand manner with the support of Artificial Intelligence. This study provides some important roles of Artificial Intelligence in HCI and its future development. 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. -
HumanComputer Interaction Technique for Irrigation and Sun Tracking Solar Panel Model
Humancomputer interaction (HCI) is an acquainted field of study concentrating on the design of computer innovation and, specifically, the interaction between computers and humans. While at first about computers, HCI has since extended to cover practically all types of data innovation design. Agriculture uses most of the natural resources, and the use of these natural resources will increase. In irrigation system, depending upon the moisture of the soil, water is provided to the plant. Two things are very important, first to get information about the humidity and temperature of the soil and second to measure the soil moisture. The Bluetooth module is added in the system so the water can be controlled through the mobile device. A solar tracking system is used to track the solar rays and convert them into electricity for pumping of water for irrigation purposes. There is a motor and two solenoid valves which control the water supply, according to the information obtained from the sensors which are placed. In a solar tracking system, LDRs are used as the main light sensors. The sensors are used to sense the soil moisture, temperature, and humidity, and if the moisture content is very low, then the motor is automatically switched on and will be turned off after getting the required water to the soil. For this, there is a GSM that is used to send the notification to the farmers. This chapter deals with the process of implementing an IoT-based model for smart irrigation and sun tracking solar panel for electricity to reduce human efforts. 2020, Springer Nature Switzerland AG. -
Human-Machine Interactions andAgility inSoftware Development
A modern organization cannot function without project management. Organizations, governments, and non-profits recognize how important modern project techniques are to the success of their IT projects. Many people understand that excellent project skills are crucial for remaining competitive in the workplace. Many project management concepts will help them with their everyday interactions with people and technology. Project management aims to plan, organize, motivate, and control resources to accomplish specific objectives and meet specific success criteria. The major challenge is to achieve all the project goals and objectives while respecting the preconceived constraints of the project. Project management for data science is easy with Agile. Understanding the different approaches to project management and how they can fit into information science is essential. Several project management tools are available to maintain and report on a projects progress. As proposed in this paper, a comprehensive study on project management and Agile methodologies helps enhance the teams interactions when working for data science project management. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024. -
Human-Computer Interaction: Innovations and Challenges in Virtual Reality
In an effort to shed light on the advances and difficulties that are shaping the area of Virtual Reality (VR), this research paper digs into the ever-evolving world of Human-Computer Interaction (HCI) within the context of VR. We have found important insights with theoretical and practical applications via a careful research technique comprising mathematical modelling, data collecting, and empirical analysis. Through our investigation of new technologies, we have shown the revolutionary potential of haptic feedback systems in VR settings. Our results, backed by a solid mathematical model, provide light on the measurable effect of haptic feedback and suggest it has the potential to radically alter user experiences in fields as diverse as gaming, instruction, and treatment. At the same time, we have overcome a number of obstacles inherent to virtual reality human-computer interaction, including motion sickness. Our mathematical model of motion sickness and its treatment lays the groundwork for creating VR experiences that are both enjoyable and safe for a wider range of users. This study highlights the ethical implications of VR HCI, highlighting the importance of responsible development and deployment in addition to advances and problems. To make sure that the advantages of this gamechanging technology are used in a responsible manner, we discuss issues like privacy, informed consent, and the possibility for addiction in VR. Our results, as we reach the end of our trip, are both a celebration of potential and a guide for where VR HCI is headed. They motivate more research into inclusive and human-centered design, personalized motion sickness prevention, and cutting-edge haptic feedback technologies. To further lead the development of VR HCI, we advocate for continuous multidisciplinary cooperation and the adoption of thorough ethical rules and regulations. 2024 IEEE. -
Human rights and religion : Perspectives and retrospectives /
Asian Journal Of Research In Social Science & Humanities, Vol.6, Issue 1, pp.80-89, ISSN: 2249-7315. -
Human Resource Management in the Power Industry Using Fuzzy Data Mining Algorithm
Currently, database and information technology's frontier study area is data mining. It is acknowledged as one of the essential technologies with the greatest potential. Numerous technologies with a comparatively high level of technical substance are used in data mining, including artificial intelligence, neural networks, fuzzy theory, and mathematical statistics. The realization is challenging as well. Job satisfaction is one of several factors that cause employees to leave or switch jobs, and it is also closely tied to the organization's human resource management (HRM) procedures. It is continuously difficult and at times beyond the HR office's control to keep their profoundly qualified and talented specialists, yet data mining can assume a part in recognizing those labourers who are probably going to leave an association, permitting the HR division to plan a mediation methodology or search for options. We have analysed the major thoughts, techniques, and calculations of affiliation rule mining innovation in this article. They effectively finished affiliation broadcasting, acknowledged perception, and eventually revealed valuable data when they were coordinated into the human resource management arrangement of schools and colleges. 2023 IEEE. -
Human Resource Management in Digital India
The business entities of today are aware of the vital role played by technological interventions in value creation. HR technological interventions are no exceptions either. These interventions are aligned to business goals and help businesses achieve their bottom lines. Nevertheless, some business owners are apprehensive about the way forward while adopting technology. This chapter focuses on the various technologies that aid HR functions, its implementation framework keeping in perspective the key apprehensions, considerations and competency requirements. The chapter highlights few Indian organizations that have adopted it. The findings show that emphasis is laid on business value creation for stakeholders due to HR technology adoption. 2023 by World Scientific Publishing Co. Pte. Ltd. All right reserved. -
Human Resource Development Climate and its Impact on Stress Among Teachers in Unaided Education Institutions in Bangalore
Global Journal of Finance & Management, Vol-4 (4), ISSN-0975-6477 -
Human resource aiding system by handling numerous data /
Patent Number: 202241004856, Applicant: Manabhanjan Sahu.
Human resource aiding system by handling numerous data Abstract: Numerous businesses have implemented human resource information systems over the last decade due to their ability to reduce costs, accelerate the flow of information, and assist human resource managers in making sound decisions. Human resource information systems can assist employees in improving their performance at work. In recent years, human resource information systems have developed into a highly effective tool. -
Human resource aiding system by handling numerous data /
Patent Number: 202241004856, Applicant: Manabhanjan Sahu.
Human resource aiding system by handling numerous data Abstract: Numerous businesses have implemented human resource information systems over the last decade due to their ability to reduce costs, accelerate the flow of information, and assist human resource managers in making sound decisions. Human resource information systems can assist employees in improving their performance at work. In recent years, human resource information systems have developed into a highly effective tool. -
Human heart disease prediction system using data mining techniques
Nowadays, health disease are increasing day by day due to life style, hereditary. Especially, heart disease has become more common these days, i.e. life of people is at risk. Each individual has different values for Blood pressure, cholesterol and pulse rate. But according to medically proven results the normal values of Blood pressure is 120/90, cholesterol is and pulse rate is 72. This paper gives the survey about different classification techniques used for predicting the risk level of each person based on age, gender, Blood pressure, cholesterol, pulse rate. The patient risk level is classified using datamining classification techniques such as Nae Bayes, KNN, Decision Tree Algorithm, Neural Network. etc., Accuracy of the risk level is high when using more number of attributes. 2016 IEEE. -
Human cognition and emotional response towards visual environmental features in an urban built context: a systematic review on perception-based studies
Urban built environments can influence human cognitive and emotional comforts. Human comfort in the built environment has challenged architects and urban designers while developing comfortable spaces. Emerging cognitive-architectural studies in architecture engineering inform new directions for improvising human spatial design practices. This paper intends to present a systematic meta-analysis of selected empirical studies to identify the gaps and future scope of research in human cognition and built environments. However, the scope of the literature review is to concentrate on experiments that consider physiological reading in different environments, such as nature and architectural spaces in cognitive study areas. The peer-reviewed literature published from 2010 to 2021 illustrates that only limited design parameters are considered in these experiments. The study analyses the extensive consideration of experimental medium, simulation categories, and participant factors like gender and age in this research domain. The survey recommends considering more visual features, contextual conditions, and ethnic groups. 2023 Informa UK Limited, trading as Taylor & Francis Group. -
Human Body Pose Estimation and Applications
Human Pose Estimation is one of the challenging yet broadly researched areas. Pose estimation is required in applications that include human activity detection, fall detection, motion capture in AR/VR, etc. Nevertheless, images and videos are required for every application that captures images using a standard RGB camera, without any external devices. This paper presents a real-time approach for sign language detection and recognition in videos using the Holistic pose estimation method of MediaPipe. This Holistic framework detects the movements of multiple modalities-facial expression, hand gesture and body pose, which is the best for the sign language recognition model. The experiment conducted includes five different signers, signing ten distinct words in a natural background. Two signs, 'blank' and 'sad, ' were best recognized by the model. 2021 IEEE. -
Human behavior analysis on political retweets using machine learning algorithms
The exponential rise in the use of social media has resulted in a massive increase in the volume of unstructured text created. This content is presented through messages, conversations, postings, and blogs. Microblogging has become a popular way for people to share what they are thinking. Many people express their thoughts on various issues relating to their hobbies. As a result, microblogging websites have become a valuable resource for opinion mining and sentiment research. Twitter is a well-known microblogging network, with over 500 million new tweets posted daily. The goal of this study was to mine tweets for political sentiments. The extraction of tweets relating to India's well-known political leaders of different states & parties in India and applying the polarity detection analysis of human behavior on the retweeted messages As a result, the sentiment classification algorithm is designed to determine whether tweets are more likely to predict the popularity of certain politicians among the general public. The subjectivity and polarity present in the tweets of political leaders are compared. The engagements of these leaders are then taken into account to determine their popularity. All these comparisons are then portrayed using data visualizations. 2023 The Authors