Search Results (71)

People with Down Syndrome often experience more barriers to achieving a good quality of life compared to people without disabilities. A lot of the existing research has focused on the views of parents and professionals, rather than directly including the voices and perspectives of people with Down Syndrome themselves. We wanted to find out how this might be done. At the 2024 World Down Syndrome Conference, over 140 adults with Down Syndrome came together at a one-day Forum to talk about their lives—aspects that are going well and what could be better. The goal was to hear directly from them. This article explains how the Forum was run so that others with Down Syndrome can use a similar process. We describe how Artificial Intelligence (AI) was used to assist the authors in organising and sharing the information from participants, such as grouping what people said into different themes and helping to create plain language reports. This process worked. Eight key themes were found that could help people to have a good life, such as having good relationships with family and friends; having a job; making personal choices; and being respected and included. The list was longer than previously reported in other studies. The Forum gave valuable insights and helped us think of new ideas for supporting people with Down Syndrome to speak up for themselves. Used thoughtfully, AI (Artificial Intelligence) could be a helpful tool in the future to help these people share their experiences and needs. More research is needed to understand how people with Down Syndrome can be more involved in making changes through advocacy projects where they take an active role. Full article

Existing heuristic algorithms are based on inspiration sources and have not yet done a good job of basing themselves on optimization principles to minimize and utilize historical information, which may lead to low efficiency, accuracy, and stability of the algorithm. To solve this problem, a personalized-template-guided intelligent evolutionary algorithm named PTG is proposed. The core idea of PTG is to generate personalized templates to guide particle optimization. We also find that high-quality templates can be generated to guide the exploration and exploitation of particles by using the information of the population particles when the optimal value remains unchanged, the knowledge of population distribution changes, and the dimensional distribution properties of particles themselves. By conducting an ablation study and comparative experiments on the challenging CEC2022 test and CEC2005 test functions, we have validated the effectiveness of our method and concluded that the stability and accuracy of the solutions obtained by PTG are superior to other algorithms. Finally, we further verified the effectiveness of PTG through four engineering problems. Full article

This article explores the challenges surrounding the Scottish media graduate landscape after the COVID-19 pandemic. Contributing factors that impact Scotland-based students and educators include a shift in the jobs market, altering pedagogies during and post-pandemic, and social drivers including fewer students choosing media pathways of study due to the cost-of-living crisis. This study draws on insights from 40 students at five Scottish universities, all of whom graduated in the summer of 2023. The research presents a window into the mindset and expectations of this post-pandemic graduating class while drawing on current and relevant literature. In addition, the paper includes reaction from industry and academic experts in Scotland and questions what can be done to address trends surrounding the stability and sustainability of journalism education. The experts include senior broadcasters, an established media educator who has worked across further education and higher education in Scotland while also being a national news editor, and one of Scotland’s most experienced journalism educators who is the chair of the World Journalism Education Council. This work is predominantly qualitative, drawing on a mixed research approach of expert interviewing and surveys while providing recommendations for journalism educators. Full article

Human beings have created numerous laws, sayings and proverbs that still influence behaviors and decision-making processes of people. Some of the laws, sayings or proverbs are used by people to understand the phenomena that may take place in daily life. For example, Murphy’s law states that “Anything that can go wrong will go wrong.” Murphy’s law is helpful for project planning with analysis and the consideration of risk. Similar to Murphy’s law, the old saying “Two heads are better than one” also influences the determination of the ways for people to get jobs done effectively. Although the old saying “Two heads are better than one” has been extensively discussed in different contexts, there is a lack of studies about whether this saying is valid and can be applied in evolutionary computation. Evolutionary computation is an important optimization approach in artificial intelligence. In this paper, we attempt to study the validity of this saying in the context of evolutionary computation approach to the decision making of ridesharing systems with trust constraints. We study the validity of the saying “Two heads are better than one” by developing a series of self-adaptive evolutionary algorithms for solving the optimization problem of ridesharing systems with trust constraints based on the saying, conducting several series of experiments and comparing the effectiveness of these self-adaptive evolutionary algorithms. The new finding is that the old saying “Two heads are better than one” is valid in most cases and hence can be applied to facilitate the development of effective self-adaptive evolutionary algorithms. Our new finding paves the way for developing a better evolutionary computation approach for ridesharing recommendation systems based on sayings created by human beings or human intelligence. Full article

The aim of this paper, and more generally, our project “Impact from the ground” (a multi-stage ongoing project), is to reimagine education so that it transcends the walls and harsh constraints of a “universal one size fits all” education. To achieve this, we propose a framework that will inform the design of a participatory approach to co-create a learning hub (an informal lifelong learning opportunity) with and within the community. To weave this framework, we explore the current landscape of education, looking at the challenges that youth from rural settings face to complete their studies in urban universities, and the difficulties they experience when looking for jobs after having done so. We briefly explain our research project and contextualize it in Kinangop, a small region in the Nyandarua County in Kenya, where we explored the enablers and constraints people face to engage in social innovation. We proceed to imagine an alternative education that is local and organic, with different principles and theories weaved into a, kitambaa in Swahili that serves as the ground for an education intervention that is meaningful, binding, and bonding for the community members. In so doing, we aim to center matters of knowledge production as multi-epistemic conversations, situating those at the margins of epistemic divisions at the center of productive and creative debates. Full article

Higher education services are at a crossroads created by the disruptive impact of digitalization. The COVID-19 pandemic experience forced Romanian universities to use digital educational platforms and other online education tools. The questions put into discussion are: Where is Romanian university education headed, what attributes of service quality are relevant for students, how do they see the digitization experience, and what needs to be done to increase satisfaction? A survey was conducted based on an online questionnaire on a sample of 314 students from the University of Oradea that used, for the first time in empirical research, a scale to measure satisfaction with the quality of educational services to which a dimension of digital education is added. Revised importance–performance analysis (importance–performance analysis in nine quadrants with one parameter c-9Qc-IPA) was used for data processing. The results show a still-reserved attitude towards certain aspects of the digitization of services, with priority remaining on aspects related to the material base and the prospects of finding a suitable job after graduation. Full article

Job satisfaction is the positive emotional state derived from job appraisal and work experiences and is influenced by factors such as leadership, work engagement, the work done, relationships with co-workers, and salary. On a university level, employee satisfaction and engagement can affect both the performance and success of the institution as well as students’ learning. That is why understanding these factors is essential. In this context, this paper sets out to identify the factors of job satisfaction that influence the work engagement of university employees. The study focuses on the Dominican Republic, a developing country with different socio-economic environments. A sample of 468 questionnaires was obtained from university employees. The data collected were analysed using SPSS and Smart-PLS. The results showed that employee job satisfaction was the most significant factor influencing employee engagement. This suggests that when employees are satisfied with their jobs, they are more likely to be engaged with their organisation and show a higher level of dedication and effort in their jobs. However, it was not possible to corroborate the influence of satisfaction with leadership, satisfaction with salary, satisfaction with promotions, and satisfaction with co-workers on the university employee’s engagement. The results present implications and future research prospects. Among the main limitations of the study, it is worth noting that the sample was limited to employees of a single university, and other factors were not considered in the proposed model that could influence job satisfaction and commitment in university employees. Full article

Background: By examining the recent advancements in technology, particularly the transformation of material into digital flows and its impact on customer demands, the aim of this paper is to investigate supply chain management (SCM) by analyzing seven key constructs: uncertainty, perspective, topicality, coordination, flow, job to be done, and connection. These constructs were chosen since they reflect evolving SCM practices that motivate this study. Methods: We conducted a broad, structured narrative review to comprehensively address the extensive SCM literature. This approach allowed us to evaluate the current state of SCM research and offer recommendations for overcoming prevailing challenges. Results: Our findings reveal the significant impact of technological advancements on SCM operations, requiring companies to adapt and remain competitive. We envision future supply chains as dynamic networks of networks, necessitating the adoption of a value architecture concept that extends a firm’s business model to an ecosystem business model. Conclusions: Considering these changes, our study recommends exploiting uncertainty, adopting demand-driven systems, offering on-demand customized services and products, utilizing prescriptive analytics, prioritizing information flows and services, and embracing open systems with high interoperability. Summarizing these opportunities and challenges that arise with changes in SCM provides interesting venues for future research and valuable insights for practitioners. Full article

Myasthenia Gravis (MG) patients often report an affected quality of life (QoL). The aim of the current study was to evaluate the QoL of patients with MG in Greece using a specific tool. A cross-sectional online survey was performed. Adult patients were invited to participate. A questionnaire incorporating the MG-QOL15r scale was distributed, following its translation and cultural adaptation into Greek. Overall, 99 valid responses were submitted. The median age (interquartile range) of the participants was 48.50 (13.50) years and 76.80% were females. One third of the patients mentioned that they could not work/changed jobs after their diagnosis (28.30%) and that they face severe restriction of their everyday activities (26.30%). The mean MG-QOL15r score was 13.50 ± 7.70. Patients with important restriction of everyday activities (p < 0.01), patients with more pronounced need of emotional support (p < 0.01), patients with generalized MG (p < 0.01) and patients with myasthenic crises (p < 0.01) reported lower QoL. This study is the first to report on the affected QoL of the Greek population with MG using the MG-QoL15r scale. Further work should be done to incorporate the routine evaluation of QoL in the care of patients with MG. Full article

Cloud computing plays an important role in every IT sector. Many tech giants such as Google, Microsoft, and Facebook as deploying their data centres around the world to provide computation and storage services. The customers either submit their job directly or they take the help of the brokers for the submission of the jobs to the cloud centres. The preliminary aim is to reduce the overall power consumption which was ignored in the early days of cloud development. This was due to the performance expectations from cloud servers as they were supposed to provide all the services through their services layers IaaS, PaaS, and SaaS. As time passed and researchers came up with new terminologies and algorithmic architecture for the reduction of power consumption and sustainability, other algorithmic anarchies were also introduced, such as statistical oriented learning and bioinspired algorithms. In this paper, an indepth focus has been done on multiple approaches for migration among virtual machines and find out various issues among existing approaches. The proposed work utilizes elastic scheduling inspired by the smart elastic scheduling algorithm (SESA) to develop a more energy-efficient VM allocation and migration algorithm. The proposed work uses cosine similarity and bandwidth utilization as additional utilities to improve the current performance in terms of QoS. The proposed work is evaluated for overall power consumption and service level agreement violation (SLA-V) and is compared with related state of art techniques. A proposed algorithm is also presented in order to solve problems found during the survey. Full article

The military’s ongoing efforts to protect the environment are clearly visible. The aim of this study is to bridge an empirical gap, i.e., there is no mediating effect of employee engagement on the relationship between green orientation and employee job performance in the Sri Lanka military context. Employee engagement is the employee’s head, heart and hand involvement in their job as well as their organization. Employee job performance is a main consequence of employee engagement. Because of this consequence, employee engagement has grabbed attention in both the business context and the military context. This quantitative study was achieved through objectives, namely, to identify the impact of green orientation on employee engagement, to identify the impact of employee engagement on employee job performance, and to identify the mediating effect of employee engagement on the relationship between green orientation and employee job performance. The unit of analysis is individual, i.e., officers in the Sri Lanka Navy. The sample size is 243. A cross-sectional study was done in a non-contrived environment with minimum researcher interference. Findings of this study suggest the direct relationship of green orientation and employee engagement, as well as the mediation effect of employee engagement on this relationship. Full article

Although rules support people while executing tasks, they are not the same as work-as-done. It can be impossible to follow the rules and finish the job at the same time. In this study, the objective is to better understand the stakes and interests that lie behind retaining gaps between work-as-prescribed and work-as-done, mapping the benefits and fears of noncompliance. The study was conducted along the vertical hierarchy of an operational flight squadron of the Royal Netherlands Air Force. We applied a qualitative survey research methodology using semi-structured interviews, complemented by an investigation of relevant documents. We found a public and political commitment to compliance made by the Dutch Department of Defence, which reinforces a cycle of issuing promises followed by pressure to keep the promise. This contradicts the found need for adaptation and freedom to use expertise. The official safety narrative seems to convey a hidden message—bad things happen to bad people, reminiscent of a bogeyman. One opportunity to resolve the situation is a doctrine change, changing prescriptive rules to guidelines. Full article

Teaching death education and palliative psychology in universities has proven to be of great importance, especially in the health professions. The present study aims to evaluate the similarities and differences in interest and confidence in death education and palliative psychology between university psychology students from two culturally different countries: Italy and India. For this study, 63 Italian and 35 Indian psychology students were recruited to take part in a course on death education and palliative psychology. The results showed the positive impact of a death education and palliative psychology course on the training of professionals. In particular, this course was useful in helping students become familiar with and learn how to manage future professional situations related to death and dying. Specific differences between the two countries also emerged, particularly with regard to their approach to the end-of-life field, due to different cultural contexts. There is still much to be done by institutions to improve the dissemination and academic teaching of this area, which in turn can promote job opportunities for young people and encourage them to work in this field. Full article

Occupational exposure assessment is important in preventing occupational coal worker’s diseases. Methods have been proposed to assess compliance with exposure limits which aim to protect workers from developing diseases. A Bayesian framework with informative prior distribution obtained from historical or expert judgements has been highly recommended for compliance testing. The compliance testing is assessed against the occupational exposure limits (OEL) and categorization of the exposure, ranging from very highly controlled to very poorly controlled exposure groups. This study used a Bayesian framework from historical and expert elicitation data to compare the posterior probabilities of the 95th percentile (P95) of the coal dust exposures to improve compliance assessment and decision-making. A total of 10 job titles were included in this study. Bayesian framework with Markov chain Monte Carlo (MCMC) simulation was used to draw a full posterior probability of finding a job title to an exposure category. A modified IDEA (“Investigate”, “Discuss”, “Estimate”, and “Aggregate”) technique was used to conduct expert elicitation. The experts were asked to give their subjective probabilities of finding coal dust exposure of a job title in each of the exposure categories. Sensitivity analysis was done for parameter space to check for misclassification of exposures. There were more than 98% probabilities of the P95 exposure being found in the poorly controlled exposure group when using expert judgments. Historical data and non-informative prior tend to show a lower probability of finding the P95 in higher exposure categories in some titles unlike expert judgments. Expert judgements tend to show some similarity in findings with historical data. We recommend the use of expert judgements in occupational risk assessment as prior information before a decision is made on current exposure when historical data are unavailable or scarce. Full article

The study aims to examine the mediating role of job crafting between inclusive leadership and innovative work behavior. The data were collected from 314 workers employed in China’s small and medium-sized industries. The data collection was done through survey design. The data analysis was done using Spss 26.0 and through structural equation modeling by Mplus 8. Inclusive leadership was found to be related to job crafting and innovative work behavior of the employees. Job crafting was found to be mediating between inclusive leadership and innovative work behavior. The study delineated the link mechanism between inclusive leadership and innovative work behavior. Studying inclusive leadership in the context of Chinese culture is a powerful complement to inclusive leadership theory. This paper provides the managers of SMEs with significant managerial insights into how inclusive leadership can effectively motivate employees’ innovative work behaviors. Full article