This study investigates the well-being of healthcare professionals in India, with a specific focus on the detrimental effects of the pandemic on their mental and physical health, including stress, burnout, and fatigue. This research examines the roles played by calling, mindfulness, and compassionate love as essential resources in promoting the well-being of healthcare professionals. Utilising structural equation modelling (SEM), the results reveal a significant cause and effect relationship between calling, mindfulness, and compassionate love and their influence on overall well-being. Furthermore, the study identifies a noteworthy parallel mediation effect, demonstrating that mindfulness and compassionate love serve as mediators in the relationship between calling and well-being. This research offers practitioners invaluable insights into the effective utilisation of mindfulness and compassionate love practices to enhance the overall well-being of healthcare professionals.

The study investigated the influence of ebullient supervision on employee commitment in a Ghanaian public university through the mediating role of employee engagement. The simple random sampling technique was used to draw 302 administrative staff of the university to respond to the self-administered questionnaire on the constructs. Furthermore, the partial least square structural equation technique was deployed to test the research hypotheses in the study. The results showed that ebullient supervision had a significant positive relationship with employee commitment and employee engagement. The findings further revealed that employee engagement positively correlated with employee commitment. Finally, the study's findings established that employee engagement partially mediated the link between ebullient supervision and employee commitment. The study emphasised that various supervisors in a university's administration should create an environment that favours fun where subordinates can form ties with one another.

Aim/Purpose: The purpose of this exploratory case study was to understand how teachers, working with English Language Learners (ELLs), expanded their knowledge and instructional practices as they implemented a one-to-one iPad® program. Background: English Language Learners experience linguistic, cultural, and cognitive shifts that can be challenging, and at times lead to isolation for ELLs. While technology can be engaging, devices alone do not shift instructional practices, nor lead to student learning. Technology must be leveraged through shifts to pedagogical practice and linked thoughtfully to content goals. Methodology: This research was conducted through a qualitative case study of educators at an international school. Contribution: This study describes promising pedagogical practices for leveraging 1:1 mobile devices for ELLs. Findings: iPads can be a support for ELL students. One-to-one iPads allowed teachers to experiment with new pedagogical approaches, but this development varies greatly between teachers. During the 1:1 implementation there were challenges reported. Recommendations for Practitioners: In order to mitigate some of these challenges, and build on the success of this study, the researcher suggests developing a common vision for technology integration, using collaborative models of ELL teaching, and investing in professional development. Recommendation for Researchers: Researchers should continue to document and observe the learning outcomes of ELL students in 1:1 environments, including an experimental study. Impact on Society: ELLs can benefit from 1:1 technology, and new pedagogical practices. For teachers to implement these new practices conversations on philosophy, engagement with families, and consistent professional development. Future Research: Future research can continue to expand the population of ELL students in 1:1 mobile learning environments; and the most powerful pedagogical practices.

The purpose of this study is to explore the effect of electronic service quality subdimensions upon the behavioural and praising intentions of users engaged in internet banking. Using the survey method, 203 responses were collected from users of online banking in Turkey. A partial least square structural equation model was constructed to test both the reliability and validity of the measurement, as well as the structural model. The results indicated that emotional benefits, ease of use, and control subdimensions, which are influenced through graphical quality and layout clarity, have a significant and positive impact upon the behavioural and praising intentions of users of online banking. The study did not find support for the direct effect of layout clarity upon behavioural and praising intentions.

In the competitive landscape of globalised markets, businesses must prioritise cost reduction for sustained competitiveness. This study delves into the dynamic facility layout problem (DFLP) within a cable production company in Kerala, emphasising adaptability to changing production demands. Addressing material handling costs and rearrangement expenses, the research evaluates the efficacy of the current static layout and explores the benefits of transitioning to a dynamic layout. The case study reveals potential cost savings through the strategic restructuring of machine arrangements. The innovative machine learning-based genetic algorithm (ML-GA) integrates machine learning algorithms, genetic algorithms, and a local search method, offering a cutting-edge solution to dynamic facility layout challenges. By considering demand variability and relocation costs, the study provides insights for informed decision-making, emphasising the significance of material flow patterns. This research contributes to enhancing efficiency and profitability, providing practical implications for businesses navigating the complexities of modern manufacturing.

Human behaviour, which is led by the human, emotional and occasionally fallible brain, is highly influenced by the environment in which choices are presented. This research paper explores the synergistic potential of the Internet of Behaviours (IoB) and digital nudges in the financial sector as new avenues for intervention while shedding light on the IoB benefits and the digital nudges' added value in these financial settings. Afterward, it proposes an IoB-Nudges conceptual model to explain how these two concepts would be incorporated and investigates their complementary relationship and benefits for this sector. Finally, the paper also discusses key challenges to be addressed by the IoB framework.

Conventional intelligent traffic congestion discrimination methods mainly use GPS terminals to collect traffic congestion data, which is vulnerable to the influence of vehicle time distribution, resulting in poor final discrimination effect. Necessary to design a new intelligent traffic congestion discrimination method based on wireless sensor network front-end data collection. That is to use the front-end data acquisition technology of wireless sensor network to generate a front-end data acquisition platform to obtain intelligent traffic congestion data, and then design an intelligent traffic congestion discrimination algorithm based on traffic congestion rules so as to achieve intelligent traffic congestion discrimination. The experimental results show that the intelligent traffic congestion discrimination method designed based on the front-end data collection of wireless sensor network has good discrimination effect, the obtained discrimination data is more accurate, effective and has certain application value, which has made certain contributions to reducing the frequency of urban traffic accidents.

Aiming at the problems of long evaluation time and poor evaluation accuracy of existing evaluation methods, an improved decision tree-based evaluation method for the effectiveness of college online course teaching reform is proposed. Firstly, the teaching mode of college online course is analysed, and an evaluation system is constructed to ensure the applicability of the evaluation method. Secondly, AHP entropy weight method is used to calculate the weights of evaluation indicators to ensure the accuracy and authority of evaluation results. Finally, the evaluation model based on decision tree algorithm is constructed and improved by fuzzy neural network to further optimise the evaluation results. The parameters of fuzzy neural network are adjusted and gradient descent method is used to optimise the evaluation results, so as to effectively evaluate the effect of college online course teaching reform. Through experiments, the evaluation time of the method is less than 5 ms, and the evaluation accuracy is more than 92.5%, which shows that the method is efficient and accurate, and provides an effective evaluation means for the teaching reform of online courses in colleges and universities.

In order to overcome the problems of low evaluation accuracy and long evaluation time in traditional teaching quality evaluation methods, a method of English distance information teaching quality evaluation based on decision tree classification algorithm is proposed. Firstly, construct teaching quality evaluation indicators under different roles. Secondly, the information gain theory in decision tree classification algorithm is used to divide the attributes of teaching resources. Finally, the rough set theory is used to calculate the index weight and establish the risk evaluation index factor set. The result of teaching quality evaluation is obtained through fuzzy comprehensive evaluation method. The experimental results show that the accuracy rate of the teaching quality evaluation of this method can reach 99.2%, the recall rate of the English information teaching quality evaluation is 99%, and the time used for the English distance information teaching quality evaluation of this method is only 8.9 seconds.

In order to overcome the problems of poor evaluation accuracy and long evaluation time in traditional customer relationship evaluation methods, this study proposes a new customer relationship evaluation method for e-commerce platform based on decision tree algorithm. Firstly, analyse the connotation and characteristics of customer relationship; secondly, the importance of customer relationship in e-commerce platform is determined by using decision tree algorithm by selecting and dividing attributes according to the information gain results. Finally, the decision tree algorithm is used to design the classifier, the weighted sampling method is used to obtain the training samples of the base classifier, and the multi-period excess income method is used to construct the customer relationship evaluation function to achieve customer relationship evaluation. The experimental results show that the accuracy of the customer relationship evaluation results of this method is 99.8%, and the evaluation time is only 51 minutes.

This research delves into the wealth effect of shareholders from bidding firms created by mergers and acquisitions (M&A) in China and India, two of the world's most populous nations. The study reveals that on average, M&A deals create wealth for shareholders of the acquiring firms, as determined by abnormal percentage returns in a five-day event window. Regarding the further classification of acquiring firms based on industry, the abnormal percentage returns vary in different sectors in both countries. In China, shareholders benefit in seven out of ten industries, while in India, they gain in five out of nine industries. Moreover, the stock markets' responses vary depending on the type of M&A in each country. Cross-industry M&A deals in China generate higher gains for shareholders than within-industry deals, whereas, in India, within-industry M&A deals generate higher gains.

In 2008 the University of Hull, Stanford University and University of Virginia decided to collaborate with Fedora Commons (now DuraSpace) on the Hydra project. This project has sought to define and develop repository-enabled solutions for the management of multiple digital content management needs that are multi-purpose and multi-functional in such a way as to allow their use across multiple institutions. This article describes the evolution of Hydra as a project, but most importantly as a community that can sustain the outcomes from Hydra and develop them further. The data modelling and technical implementation are touched on in this context, and examples of the Hydra heads in development or production are highlighted. Finally, the benefits of working together, and having worked together, are explored as a key element in establishing a sustainable open source solution.

International universities are changing with their style of operation, mode of teaching and learning operations. This change is noticeable rapidly in India and also in international contexts due to healthy and innovative methods, educational strategies, and nomenclature throughout the world. Technologies are changing rapidly, including ICT. Different subjects are developed in the fields of IT and computing with the interaction or applications to other fields, viz. health informatics, bio informatics, agriculture informatics, and so on. Agricultural informatics is an interdisciplinary subject dedicated to combining information technology and information science utilisation in agricultural sciences. The digital agriculture is powered by agriculture informatics practice. For teaching, research and development of any subject educational methods is considered as important and various educational programs are there in this regard viz. Bachelor of Education, Master of Education, PhD in Education, etc. Degrees are also available to deal with the subjects and agricultural informatics should not be an exception of this. In this context, Doctor of Education (EdD or DEd) is an emerging degree having features of skill sets, courses and research work. This paper proposed on EdD program with agricultural informatics specialisation for improving healthy agriculture system. Here, a proposed model core curriculum is also presented.

In this article, we have attempted to study the ways in which the COVID-19 pandemic has gradually increased and impacted the world. The authors integrate the knowledge from cognitive psychology literature to illustrate how the limitations of the human mind might have a critical role in the decisions taken during the COVID-19 pandemic. The authors show the correlation between different biases in various contexts involved in the COVID-19 pandemic and highlight the ways in which we can nudge ourselves and various stakeholders involved in the decision-making process. This study uses a typology of biases to examine how different patterns of biases affect the decision-making behaviour of people during the pandemic. The presented model investigates the potential interrelations among environmental transformations, cognitive biases, and strategic decisions. By referring to cognitive biases, our model also helps to understand why the same performance improvement practices might incite different opinions among decision-makers.

Numerous Internet of Things (IoT) applications require brain-empowered intelligence. This necessity has caused the emergence of a new area called cognitive IoT (CIoT). Reasoning, planning, and selection are typically involved in decision-making within the network bandwidth limit. Consequently, data minimisation is needed. Therefore, this research proposes a novel technique to extract conscious data from a massive dataset. First, it groups the data using k-means clustering, and the entropy is computed for each cluster. The most prominent cluster is then determined by selecting the cluster with the highest entropy. Subsequently, it transforms each cluster element into an informative element. The most informative data is chosen from the most prominent cluster that represents the whole massive data, which is further used for intelligent decision-making. The experimental evaluation is conducted on the 21.25 years of environmental dataset, revealing that the proposed method is efficient over competing approaches.

This paper describes the employment of a Personal Response System (PRS) during a Decision Analysis course for Management Information Systems (MIS) students. The description shows how the carefully designed PRS-based questions, the delivery, and the follow-up discussions; provided a context for eliciting and exercising central concepts of the course topics as well as central skills required for MIS majors. A sample of PRS-based questions is presented along with a description for each question of its purpose, the way it was delivered, the response rate, the responses and their frequencies, and the respective in-class discussion. Lessons from these findings are discussed.

Aim/Purpose: This paper describes and information system for the maintenance and management of municipal lighting systems that also serves as a decision support tool for reducing power consumption on urban lighting. Background: Many municipalities are financially constrained and unable to invest in improving their lighting infrastructure. We propose a very efficient and inexpensive way to set up the database and provide city leaders with tools to improve their system efficiently. Methodology: An information database for the data management and an Integer Programming model for deriving the optimal investment plan. Contribution: This paper contributes to the fields of urban economics and sustainability. Findings: Informing management and workers about the status of the system and how to optimize it will reward the city with considerable savings and improve the service quality. Recommendations for Practitioners: The application of this model, even in a small scale such as a neighborhood can improve citizen’s quality of life without a heavy burden on the city budget. Recommendation for Researchers: There is a growing need for cost-effective means to improve urban management. Innovative ideas that meet these goals should be researched and developed. Impact on Society: First, it allows reduction in carbon emissions and light pollution by reducing power consumption and over-luminous lighting levels. Second, financially constrained municipalities can manage their systems at a very low cost. Future Research: A full scale application is needed in order to evaluate the city-wide benefits of the system.

Aim/Purpose: The objective of this study was to concept test a new instructional aid called Virtual Pathology Learning Resource (VPLR), which was used as a vehicle to communicate information and enhance teaching and learning of basic sciences (Anatomy, Physiology, and Pathology) to allied health science students at a South Australian university. Background: Pathology was traditionally taught using potted specimens to review disease manifestations independently. However, this approach was found inadequate and ineffective. VPLR is a new teaching platform comprising of digitised human normal and human pathology specimens (histology, histopathology), patient case studies, short answer and critical thinking questions, and self-assessment quizzes. Using authentic learning theory as an educational pedagogy, this learning resource was developed to enhance the teaching and learning of Pathology. Methodology: Cross-sectional study design was used. A survey, given at the end of the course, gathered qualitative and quantitative data concerning the perceptions and experiences of the students about VPLR and its components. The online tool SurveyMonkey was utilised so that students could respond anonymously to a web link that displayed the questionnaire. The perceived impact on students was assessed using an 18-item questionnaire seeking agreement or disagreement with statements about VPLR, multiple choice and open-ended questions querying the best things about VPLR, benefits to be derived, and areas for improvement. Descriptive and frequency analyses were performed. Contribution: The VPLR approach involved rich learning situations, contextualised content, and facilitated greater understanding of disease concepts and problems. Findings: In a sample of 103 Medical Radiation students, 42% of students (N=43) responded to the post-intervention survey. The majority of students reported highly positive effects for each component of the VPLR. The overall results indicated that this tool was a promising strategy in teaching Pathology as it assisted students’ gaining knowledge of the science, facilitated connections between sciences, and allowed students to make better links with professional practice and skills. Recommendations for Practitioners: As students found VPLR to be beneficial, it is recommended that the same approach is applied for the teaching of Pathology to other health science students, such as Nursing. Other universities might consider adopting the innovation for their courses. Recommendation for Researchers: Applying VPLR to teaching other allied health science students will be undertaken next. The innovation will be appropriate for other health science students with particular emphasis on case-based or problem-based learning and combined with clinical experiences. Impact on Society: In reshaping the way of teaching a science course, students are benefited with greater depth of understanding of content and increase motivation to study. These are important to keep students engaged and ready for practice. VPLR may impact on education and technology trends so that exploration and possibilities of initiatives are ongoing to help students become successful learners. Other impacts are the new forms of learning discovered, the renewed focus on group work and collaboration, and maximising the use of technology in innovation. Future Research: Future directions of this research would be to conduct a follow-up of this cohort of students to determine whether the impacts of the innovation were durable, meaning the change in perceptions and behaviour is sustained over time.

Aim/Purpose: Our research goal was to examine the factors that motivate women to enroll in Computer Science (CS) courses in order to better understand the small number of women in the field of CS. Background: This work is in line with the growing interest in better understanding the problem of the underrepresentation of women in the field of CS. Methodology: We focused on a college that differs in its high numbers of female CS students. The student population there consists mostly of religious Jews; some of them are Haredi, who, because of their unique lifestyle, are expected to be the breadwinners in their family. Following group interviews with 18 students, a questionnaire was administered to all the female students and 449 of them responded. We analyzed it statistically. We compared the responses of the Haredi and non-Haredi students. Contribution: The main contribution of this work lies in the idea that studying the factors underlying women’s presence in a CS program in unique communities and cultures, where women are equally represented in the field, might shed light on the nature of this phenomenon, especially whether it is universal or confined to the surrounding culture. Findings: There were significant differences between the Haredi and non-Haredi women regarding the importance they attributed to different factors. Haredi women resemble, regarding some social and economic variables, women in developing countries, but differ in others. The non-Haredi women are more akin to Western women, yet they did not completely overlap. Both groups value their family and career as the most important factors in their lives. These factors unify women in the West and in developing countries, though with different outcomes. In the West, it deters women from studying CS, whereas in Israel and in Malaysia, other factors can overcome this barrier. Both groups attributed low importance to the masculine image of CS, found important in the West. Hence, our findings support the hypothesis that women’s participation in the field of CS is culturally dependent. Recommendations for Practitioners: It is important to learn about the culture within which women operate in order to attract more women to CS. Recommendations for Researchers: Future work is required to examine other loci where women are underrepre-sented in CS, as well as how the insights obtained in this study can be utilized to decrease women’s underrepresentation in other loci. Impact on Society: Women's underrepresentation in CS is an important topic for both economic and social justice reasons. It raises questions regarding fairness and equality. In the CS field the gender pay gaps are smaller than in other professional areas. Thus, resolving the underrepresentation of women in CS will serve as a means to decrease the social gender gap in other areas.

Aim/Purpose: This study examined learning during the COVID-19 crisis, as perceived by preservice teachers at the time of their academic studies and their student teaching experience. Background: The COVID-19 crisis is unexpected. On one hand, it disrupted learning in all learning frameworks, on the other, it may create a change in learning characteristics even after the end of the crisis. This study examined the pro-ductive, challenging, and thwarting factors that preservice teachers encountered during their studies and in the course of their student teaching during the COVID-19 period, from the perspective of preservice teachers. Methodology: The study involved 287 students studying at teacher training institutions in Israel. The preservice teachers were studying online, and in addition experienced online teaching of students in schools, guided by their own teacher. The study used a mixed method. The questionnaire included closed and open questions. The data were collected in 2020. Contribution: Identifying the affecting factors may deepen the understanding of online learning/teaching and assist in the optimal implementation of online learning. Findings: Online learning experience. We found that some of the lessons at institutions of higher learning were delivered in the format of online lectures. Many pre-service teachers had difficulty sitting in front of a computer for many hours—“Zoom fatigue.” Preservice teachers who had difficulty self-regulating and self-mobilizing for study, experienced accumulating loads, which caused them feelings of stress and anxiety. The word count indicated that the words that appeared most often were “load” and “stress.” Some preservice teachers wrote that collaborating in forums with others made it easier for them. Some suggested diversifying by digital means, incorporating asynchronous units and illustrative films, and easing up on online lectures, as a substitute for face-to-face lectures. Online teaching experience in schools. The preservice teachers' descriptions show that in lessons taught in the format of lectures and communication of content, there were discipline problems and non-learning. According to the preservice teachers, discipline problems stemmed from difficulties concentrating, physical distance, load, and failure to address the students' difficulties. Recommendations for Practitioners: In choosing schools for student teaching, it is recommended to reach an understanding with the school about the online learning policy and organization. It is important to hold synchronous sessions in small groups of 5 to 10 students. The sessions should focus on the mental wellbeing of the students, and on the acquisition of knowledge and skills. Students should be prepared for participation in asynchronous digital lessons, which should be produced by professionals. It should be remembered that the change of medium from face-to-face to online learning also changes the familiar learning environment for all parties and requires modifying the ways of teaching. Recommendations for Researchers: A change in the learning medium also requires a change in the definition of objectives and goals expected of each party—students, teachers, and parents. All parties must learn to view online learning as a method that enables empowerment and the application of 21st century skills. Impact on Society: Teachers' ability to deploy 21st century skills in an online environment de-pends largely on their experience, knowledge, skills, and attitude toward these skills. Future Research: This study examined the issue from the perspective of preservice teachers. It is recommended to examine it also from the perspective of teachers and students.