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This paper aims to center the experiences of three cohorts (n = 40) of Black high school students who participated in a critical race technology course that exposed anti-blackness as the organizing logic and default setting of digital and artificially intelligent technology. This paper centers the voices, experiences and technological innovations of the students, and in doing so, introduces a new type of digital literacy: critical race algorithmic literacy.

Data for this study include student interviews (called “talk backs”), journal reflections and final technology presentations.

Broadly, the data suggests that critical race algorithmic literacies prepare Black students to critically read the algorithmic word (e.g. data, code, machine learning models, etc.) so that they can not only resist and survive, but also rebuild and reimagine the algorithmic world.

While critical race media literacy draws upon critical race theory in education – a theorization of race, and a critique of white supremacy and multiculturalism in schools – critical race algorithmic literacy is rooted in critical race technology theory, which is a theorization of blackness as a technology and a critique of algorithmic anti-blackness as the organizing logic of schools and AI systems.

A growing number of organizational scandals, including Apple slowing old devices to increase the sales of new ones, and research on unethical pro-organization behaviors (UPBs) have heightened the need to explore the phenomenon. Extending the current understanding, the study's major purpose is to investigate individual-level factors that may shape their willingness to engage in UPBs. It also inquires whether moral disengagement processes influence this association.

After testing the reliability and validity of the latent constructs and ensuring common method bias did not contaminate the data, the study used the PLS-SEM approach to analyze the primary data collected from 408 full-time Pakistani employees.

Results add to the current understanding by revealing that individual-level dark factor Machiavellianism (MACH) significantly influences employees' willingness to engage in UPBs. Accordingly, affective commitment is another individual-level factor that encourages employees to be a part of UPBs. Lastly, results unveil that employees with a higher moral disengagement are more prone to engage in UPBs.

The study measured employees' willingness or intentions to engage in UPBs, not their actual involvement.

Results clarify to the top management that individuals high on MACH, affective commitment and moral disengagement are more prone to be involved in UPBs.

This study is among the preliminary ones that assess the direct associations between MACH, affective commitment, and UPBs, especially in the Pakistani context. Moreover, exploring the moderating role of moral disengagement between the above associations is also an under-researched phenomenon.

The purpose of this study is to investigate the application of non-destructive testing methods in measuring bearing oil film thickness to ensure that bearings are in a normal lubrication state. The oil film thickness is a crucial parameter reflecting the lubrication status of bearings, directly influencing the operational state of bearing transmission systems. However, it is challenging to accurately measure the oil film thickness under traditional disassembly conditions due to factors such as bearing structure and working conditions. Therefore, there is an urgent need for a nondestructive testing method to measure the oil film thickness and its status.

This paper introduces methods for optically, electrically and acoustically measuring the oil film thickness and status of bearings. It discusses the adaptability and measurement accuracy of different bearing oil film measurement methods and the impact of varying measurement conditions on accuracy. In addition, it compares the application scenarios of other techniques and the influence of the environment on detection results.

Ultrasonic measurement stands out due to its widespread adaptability, making it suitable for oil film thickness detection in various states and monitoring continuous changes in oil film thickness. Different methods can be selected depending on the measurement environment to compensate for measurement accuracy and enhance detection effectiveness.

This paper reviews the basic principles and latest applications of optical, electrical and acoustic measurement of oil film thickness and status. It analyzes applicable measurement methods for oil film under different conditions. It discusses the future trends of detection methods, providing possible solutions for bearing oil film thickness detection in complex engineering environments.

Since the introduction of the outstanding web AI chat system, ChatGPT, it has caused a significant impact in both academia and the business world. Many studies have started to explore its potential applications in various fields. However, there is a lack of research from the perspective of user experience. To fill this theoretical gap and provide a theoretical basis for the operation and design of related services, this study plans to develop a set of evaluation scales for AI chat system user experience and explore the relationship between various factors and user satisfaction.

This study obtained 41 evaluation indicators through literature review and user research. Subsequently, these indicators were used as questionnaire items, combined with satisfaction metrics. A total of 515 questionnaires were distributed, and factor analysis and linear regression were employed to determine the specific elements influencing user experience and the user satisfaction model.

This study found that the factors influencing user experience are usefulness, accuracy, logical inference, interactivity, growth, anthropomorphism, convenience, credibility, ease of use, creativity, and security. Among these factors, only accuracy, anthropomorphism, creativity, and security indirectly influence satisfaction through usefulness, while the rest of the factors have a direct positive impact on user satisfaction.

This study provides constructive suggestions for the design and operation of related services and serves as a reference for future theoretical research in this area.

This paper presents a survey of research into interactive robotic systems for the purpose of identifying the state of the art capabilities as well as the extant gaps in this emerging field. Communication is multimodal. Multimodality is a representation of many modes chosen from rhetorical aspects for its communication potentials. The author seeks to define the available automation capabilities in communication using multimodalities that will support a proposed Interactive Robot System (IRS) as an AI mounted robotic platform to advance the speed and quality of military operational and tactical decision making.

This review will begin by presenting key developments in the robotic interaction field with the objective of identifying essential technological developments that set conditions for robotic platforms to function autonomously. After surveying the key aspects in Human Robot Interaction (HRI), Unmanned Autonomous System (UAS), visualization, Virtual Environment (VE) and prediction, the paper then proceeds to describe the gaps in the application areas that will require extension and integration to enable the prototyping of the IRS. A brief examination of other work in HRI-related fields concludes with a recapitulation of the IRS challenge that will set conditions for future success.

Using insights from a balanced cross section of sources from the government, academic, and commercial entities that contribute to HRI a multimodal IRS in military communication is introduced. Multimodal IRS (MIRS) in military communication has yet to be deployed.

Multimodal robotic interface for the MIRS is an interdisciplinary endeavour. This is not realistic that one can comprehend all expert and related knowledge and skills to design and develop such multimodal interactive robotic interface. In this brief preliminary survey, the author has discussed extant AI, robotics, NLP, CV, VDM, and VE applications that is directly related to multimodal interaction. Each mode of this multimodal communication is an active research area. Multimodal human/military robot communication is the ultimate goal of this research.

A multimodal autonomous robot in military communication using speech, images, gestures, VST and VE has yet to be deployed. Autonomous multimodal communication is expected to open wider possibilities for all armed forces. Given the density of the land domain, the army is in a position to exploit the opportunities for human–machine teaming (HMT) exposure. Naval and air forces will adopt platform specific suites for specially selected operators to integrate with and leverage this emerging technology. The possession of a flexible communications means that readily adapts to virtual training will enhance planning and mission rehearsals tremendously.

Interaction, perception, cognition and visualization based multimodal communication system is yet missing. Options to communicate, express and convey information in HMT setting with multiple options, suggestions and recommendations will certainly enhance military communication, strength, engagement, security, cognition, perception as well as the ability to act confidently for a successful mission.

The objective is to develop a multimodal autonomous interactive robot for military communications. This survey reports the state of the art, what exists and what is missing, what can be done and possibilities of extension that support the military in maintaining effective communication using multimodalities. There are some separate ongoing progresses, such as in machine-enabled speech, image recognition, tracking, visualizations for situational awareness, and virtual environments. At this time, there is no integrated approach for multimodal human robot interaction that proposes a flexible and agile communication. The report briefly introduces the research proposal about multimodal interactive robot in military communication.

Higher education institutions (HEIs) offer courses and programmes focusing on sustainability in economics, as courses on sustainable development (SD), which examine the economic, social and environmental dimensions of SD. This paper aims to examine sustainability integration in economics degree programmes.

Through an extensive literature review in Web of Science (WoS) and information search in Google, conducting to 28 relevant case studies, this paper elucidates the emphasis given to sustainability as part of economics degree programmes in HEIs.

The results suggest that, whereas the inclusion of sustainability components in this field is a growing trend, much still needs to be done to ensure that matters related to SD are part of the routine of university students studying economics.

It is worth noting that the literature review conducted in WoS was primarily aimed at assisting in the selection of university case studies. The 28 university case studies scrutinised in this study may lack sufficient representation from numerous developing countries.

This study highlights challenges in integrating the SD into economics degree programmes, suggesting the need for curriculum adjustments as underscoring operational issues, acting as barriers. The inclusion of sustainability in economics programmes must navigate operational issues stemming from packed timetables and busy schedules, requiring innovative solutions.

As far as the authors are aware, this study holds substantial importance in its emphasis on implementing sustainability within HEIs’ economics programmes, assisting in pursuing SD.

The novelty of this study lies in addressing sustainability with the specific economics focus programmes within the HEIs context.

The learning outcomes for this case study are as follows: learning outcome 1: evaluate the environmental context of Youth Employment Service (YES) and ascertain whether YES is a social enterprise. Students will provide an analysis of what is happening around the business, and why addressing youth unemployment is an urgent matter to address; learning outcome 2: apply basic financial principles to evaluate the basic profit and loss statement of YES. In a business management class, students need to recognise the importance of applying basic financial principles to ensure the financial sustainability of a business. Therefore, the objective is for students to evaluate the basic profit and loss statement in the case’s exhibit. The focus is not necessarily on the numbers, but rather on the insight that students will gain into the organisation’s strengths and development areas; and learning outcome 3: create recommendations by considering the exploitation of existing opportunities and the exploration of new opportunities to innovate. Students should understand the principles of organisational ambidexterity and provide suggestions on how they can be used by organisations to reshape their desirable future.

On 31 March 2022, Leanne Emery Hunter, the chief operating officer of the YES, was considering how YES could increase their impact. Hunter considered how to convince more corporations to sponsor their efforts in creating work experiences for South African youth. In addition to exploiting these efforts that they were already involved with, YES could explore new opportunities to increase their impact, such as focusing on the community hubs and the innovative products they were developing. Expanding YES’s community hubs to serve as support to the youth would require a capital investment in technology and specific skills within the next six months. Hunter, therefore, faced the dilemma of managing the tensions between focusing on YES’s existing offering, which had a social impact, while paying attention to secure their future by focusing on the financial sustainability and expansion of YES. Its ceremonial inauguration in March 2018 was ushered by President of South Africa Cyril Ramaphosa, followed by its registration in October 2018. YES was challenged to look for new ways of creating a proactive growth strategy. YES had a social mission to address youth unemployment, students will, however, need to ascertain whether YES is a social enterprise. The case shares financial results and students have an opportunity to calculate profit and loss and offer recommendations on the financial viability of YES while fulfilling their social mission of contributing to youth employment. Students must give recommendations to resolve the dilemma of Hunter in managing the tension between their existing social impact and the future financial sustainability of the business.

The case is suitable for post-graduate courses in business management in business administration programmes.

Teaching notes are available for educators only.

CSS 3: Entrepreneurship.

COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The main purpose of this work is, COVID-19 has occurred in more than 150 countries and causes a huge impact on the health of many people. The COVID-19 diagnosis is required to detect at the beginning stage and special attention should be given to them. The fastest way to detect the COVID-19 infected patients is detecting through radiology and radiography images. The few early studies describe the particular abnormalities of the infected patients in the chest radiograms. Even though some of the challenges occur in concluding the viral infection traces in X-ray images, the convolutional neural network (CNN) can determine the patterns of data between the normal and infected X-rays that increase the detection rate. Therefore, the researchers are focusing on developing a deep learning-based detection model.

The main intention of this proposal is to develop the enhanced lung segmentation and classification of diagnosing the COVID-19. The main processes of the proposed model are image pre-processing, lung segmentation and deep classification. Initially, the image enhancement is performed by contrast enhancement and filtering approaches. Once the image is pre-processed, the optimal lung segmentation is done by the adaptive fuzzy-based region growing (AFRG) technique, in which the constant function for fusion is optimized by the modified deer hunting optimization algorithm (M-DHOA). Further, a well-performing deep learning algorithm termed adaptive CNN (A-CNN) is adopted for performing the classification, in which the hidden neurons are tuned by the proposed DHOA to enhance the detection accuracy. The simulation results illustrate that the proposed model has more possibilities to increase the COVID-19 testing methods on the publicly available data sets.

From the experimental analysis, the accuracy of the proposed M-DHOA–CNN was 5.84%, 5.23%, 6.25% and 8.33% superior to recurrent neural network, neural networks, support vector machine and K-nearest neighbor, respectively. Thus, the segmentation and classification performance of the developed COVID-19 diagnosis by AFRG and A-CNN has outperformed the existing techniques.

This paper adopts the latest optimization algorithm called M-DHOA to improve the performance of lung segmentation and classification in COVID-19 diagnosis using adaptive K-means with region growing fusion and A-CNN. To the best of the authors’ knowledge, this is the first work that uses M-DHOA for improved segmentation and classification steps for increasing the convergence rate of diagnosis.

Pina Bausch is considered one of the most influential choreographers in contemporary dance. She created a new dance language based on a groundbreaking form of joint artistic inquiry. As a leader, Pina Bausch transformed her company into a chosen family of diverse personalities whom she supported in the development of their individual artistic expressiveness. She encouraged her dancers to contribute to her signature style with inventiveness and authenticity. Her ability to integrate the dancers’ contributions into her pieces and bring them to the fore onstage makes Pina Bausch a prime example of creative leadership. While leveraging her company’s collective genius and international fame through boundless curiosity and artistic integrity, Pina Bausch balanced paradoxes of leading innovation. The essence of her leadership style points to the importance of curiosity, humanity, and embodiment in leader-follower relationships.

This study aims to explore the experiences of living through the COVID-19 pandemic for people who faced homelessness and dealt with mental health and/or substance use challenges.

This qualitative study was comprised of 26 1:1 interviews (16 men and 10 women), conducted between February and May 2021 with people who experienced homelessness in North East England during the COVID-19 pandemic. An inductive reflexive thematic analysis was undertaken, with input from individuals with lived experience who were involved throughout the study.

Four themes were developed. The first theme, lack of support and exacerbation of mental health and substance use difficulties, highlighted how the lack of in-person support and increased isolation and loneliness led to relapses or new challenges for many people’s mental health and substance use. The second theme, uncertainty and fear during the pandemic, explored how the “surreal” experience of the pandemic led to many people feeling uncertain about the future and when things would return to normal. The third theme, isolation and impacts on social networks, discussed how isolation and changes to relationships also played a role in mental health and substance use. Finally, opportunity for reflection and self-improvement for mental health and substance use, explored how some people used the isolated time to re-evaluate their recovery journey and focus on self-improvement.

The experiences shared within this study have important implications for planning the future delivery and commissioning of health and social care services for people facing homelessness, such as sharing information accessibly through clear, consistent and simple language.

As one of the few papers to involve people with lived experience as part of the research, the findings reflect the unique narratives of this population with a focus on improving services.