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This study investigates the relationship between the strength of innovative entrepreneurial ecosystems and subjective well-being in 43 European smart cities. Subjective well-being is operationalized by a Quality of Life (QOL) survey that references the level of multidimensional satisfaction or happiness expressed by residents at the city level. The entrepreneurial ecosystem concept depicted here highlights actor interdependence that creates new value in a specific community by undertaking innovative entrepreneurial activities. The research uses objective and subjective variables to analyze the relationships between the entrepreneurial ecosystem and subjective well-being.

The authors conducted a cluster analysis with a nonaggregative quantitative approach based on the theory of the partially ordered set (poset); the objective was to find significant smart city level relationships between the entrepreneurial ecosystem and subjective well-being.

The strength of the entrepreneurial ecosystem is positively related to subjective well-being only in large cities. This result confirms a strong interdependency between the creation of innovative entrepreneurial activities and subjective well-being in large cities. The smart cities QOL dimensions showing higher correlations with the entrepreneurial ecosystem include urban welfare, economic well-being and environmental quality, such as information and communications technology (ICT) and mobility.

Despite the main implications being properly referred to large cities, the governments of smart cities should encourage and promote programs to improve citizens' subjective well-being and to create a conducive entrepreneurship environment.

This study is one of the few contributions focused on the relationship between the entrepreneurial smart city ecosystem and subjective well-being in the urban environment.

Technical solutions can be important when key communicators take on the task of making sense of social media flows during crises. However, to provide situation awareness during high-stress assignments, usability problems must be identified and corrected. In usability studies, where researchers investigate the user-friendliness of a product, several types of data gathering methods can be combined. Methods may include subjective (surveys and observations) and psychophysiological (e.g. skin conductance and eye tracking) data collection. This chapter mainly focuses on how the latter type can provide detailed clues about user-friendliness. Results from two studies are summarised. The tool tested is intended to help communicators and journalists with monitoring and handling social media content during times of crises.

Emotionally intelligent leadership (EIL) theory combines relevant models, theories, and research in the areas of emotional intelligence (EI) and leadership. With an intentional focus on context, self and others, emotionally intelligent leaders facilitate the attainment of desired outcomes. The 21 capacities described by the theory equip individuals with the knowledge, skills, abilities, and other characteristics to achieve desired results. The purpose of this article is to propose an integrative, process-oriented EIL theory to provide a framework for conceptualizing and integrating future research and practice. The authors review and organize research and theory in emotional intelligence and leadership within the context of higher education, introduce the EIL model, and provide suggestions for future research. The article concludes with practical implications for leadership development in the context of higher education.

Considerably diminished quality of life (QoL) is observed in patients with visual field defects after lesions affecting the visual pathway. But little is known to what extent vision-and health-related QoL impairments are associated with psychological distress. In 24 patients with chronic visual field defects (mean age=56.17±12.36) the National Eye Institute-visual functioning questionnaire (NEI-VFQ) for vision-related QoL, the Short Form Health Survey-36 (SF-36) for generic QoL and the revised Symptom-Checklist (SCL-90-R) were administered. Cases with clinically relevant SCL-90-R symptoms were defined. Demographic, QoL and visual field parameters were correlated with SCL-90-R scales. About 40% of the investigated patients met the criteria for the definition of psychiatric caseness. 8/12 NEI-VFQ scales correlated significantly with SCL-90-R phobic anxiety (r-range -0.41 to -0.64, P<0.05), 5/12 NEI-VFQ scales correlated with SCL-90-R interpersonal sensitivity (-0.43 to -0.50), and 3/12 with SCL-90-R depression (-0.51 to -0.57) and obsessive-compulsiveness (-0.41 to -0.43). In contrast, only 1/8 SF-36 scales correlated significantly with SCL-90-R depression, phobic anxiety and interpersonal sensitivity (-0.41 to -0.54). No substantial correlations were observed between visual field parameters and SCL-90-R scales. Significant correlations of SCL-90-R with NEI-VFQ but not with SF-36 suggest that self-rated psychological distress is the result of diminished vision-related QoL as a consequence of visual field loss. The extent of visual field loss itself did not influence the rating of psychological distress directly, since SCL-90-R symptoms were only reported when diminished vision-related QoL was present. Patients with reduced vision-related QoL due to persisting visual field defects should therefore be offered additional neuropsychological rehabilitation and supportive psychotherapeutic interventions even years after the lesion.

Increasingly, universities are involved in providing leadership development opportunities that support students’ academic endeavours and their personal and professional development, including employability and citizenship skills. Leadership experiences are beneficial not only for students, but also for universities, the wider community, and future employers. To develop a greater understanding of students’ perceived benefits of their involvement in peer leadership activities, a group of Australasian universities participated in a pilot survey based on the United States National Survey of Peer Leadership. Overall, the results suggest students believe they benefit from peer leadership experiences across a range of key outcomes areas, most prominently creative problem solving, appreciation of diversity, and a sense of belonging and contributing to the university community.

Due to high demand for international talents and skilful workforces, many countries around the world, especially the ageing populations are now looking for new ways and strategies to attract more international talent. Drawing on push-pull factor theory, integrated with theory of reasoned action (TRA), this research examines international students' intention to stay or to leave the host country after completion of the students' studies.

A conceptual model has been proposed and evaluated aimed at understanding the factors that influence the decision-making of international students studying in Finland. Data were collected from a sample of 292 international students in Finland and structural equation modelling (SEM) was used to analyse the data and examine the relationships between various constructs in the model.

The SEM results show that several factors influence students' decision to stay or leave the host country after graduation. Aspects related to host country, institutional and economic factors and social influence (norms) directly impact students' attitude towards staying. In addition, attitude towards staying not only has a direct impact on the intention to stay, but also mediates the relationship between different pulling factors and students' intention to stay in the host country. Moreover, challenges and barriers (such as local language, challenge of finding employment and challenge of assimilating into the community or making friends) have a negative impact on the decision to stay in the host country.

This study uses push-pull theory in the Finnish context, contributing to the growing body of literature on international education policies and practices. The findings highlight the need for a more holistic approach to supporting international students, one that considers the students' unique needs and experiences in the host country and provides the students with the necessary resources and support to succeed.

The purpose of this paper is to explore the effects of job satisfaction practices for public sector employees through a cross-national approach.

A multi-group analysis was carried out using SmartPLS3 among non-teaching employees of public universities in Poland and Spain.

The results show a positive relationship between motivational factors and job satisfaction; however, there is no evidence that the variable “country” introduced significant differences.

The research findings contribute to a better understanding of job satisfaction for public employees and provide empirical evidence on the relationship between job satisfaction and public culture.

This paper provides practical advice for archaeologists and heritage specialists wishing to use ML approaches to identify archaeological features in high-resolution satellite imagery (or other remotely sensed data sources). We seek to balance the disproportionately optimistic literature related to the application of ML to archaeological prospection through a discussion of limitations, challenges and other difficulties. We further seek to raise awareness among researchers of the time, effort, expertise and resources necessary to implement ML successfully, so that they can make an informed choice between ML and manual inspection approaches.

Automated object detection has been the holy grail of archaeological remote sensing for the last two decades. Machine learning (ML) models have proven able to detect uniform features across a consistent background, but more variegated imagery remains a challenge. We set out to detect burial mounds in satellite imagery from a diverse landscape in Central Bulgaria using a pre-trained Convolutional Neural Network (CNN) plus additional but low-touch training to improve performance. Training was accomplished using MOUND/NOT MOUND cutouts, and the model assessed arbitrary tiles of the same size from the image. Results were assessed using field data.

Validation of results against field data showed that self-reported success rates were misleadingly high, and that the model was misidentifying most features. Setting an identification threshold at 60% probability, and noting that we used an approach where the CNN assessed tiles of a fixed size, tile-based false negative rates were 95–96%, false positive rates were 87–95% of tagged tiles, while true positives were only 5–13%. Counterintuitively, the model provided with training data selected for highly visible mounds (rather than all mounds) performed worse. Development of the model, meanwhile, required approximately 135 person-hours of work.

Our attempt to deploy a pre-trained CNN demonstrates the limitations of this approach when it is used to detect varied features of different sizes within a heterogeneous landscape that contains confounding natural and modern features, such as roads, forests and field boundaries. The model has detected incidental features rather than the mounds themselves, making external validation with field data an essential part of CNN workflows. Correcting the model would require refining the training data as well as adopting different approaches to model choice and execution, raising the computational requirements beyond the level of most cultural heritage practitioners.

Improving the pre-trained model’s performance would require considerable time and resources, on top of the time already invested. The degree of manual intervention required – particularly around the subsetting and annotation of training data – is so significant that it raises the question of whether it would be more efficient to identify all of the mounds manually, either through brute-force inspection by experts or by crowdsourcing the analysis to trained – or even untrained – volunteers. Researchers and heritage specialists seeking efficient methods for extracting features from remotely sensed data should weigh the costs and benefits of ML versus manual approaches carefully.

Our literature review indicates that use of artificial intelligence (AI) and ML approaches to archaeological prospection have grown exponentially in the past decade, approaching adoption levels associated with “crossing the chasm” from innovators and early adopters to the majority of researchers. The literature itself, however, is overwhelmingly positive, reflecting some combination of publication bias and a rhetoric of unconditional success. This paper presents the failure of a good-faith attempt to utilise these approaches as a counterbalance and cautionary tale to potential adopters of the technology. Early-majority adopters may find ML difficult to implement effectively in real-life scenarios.

Unlike many high-profile reports from well-funded projects, our paper represents a serious but modestly resourced attempt to apply an ML approach to archaeological remote sensing, using techniques like transfer learning that are promoted as solutions to time and cost problems associated with, e.g. annotating and manipulating training data. While the majority of articles uncritically promote ML, or only discuss how challenges were overcome, our paper investigates how – despite reasonable self-reported scores – the model failed to locate the target features when compared to field data. We also present time, expertise and resourcing requirements, a rarity in ML-for-archaeology publications.

This paper aims to address what it means to brand a city as “smart”. In other words, what ideas, understandings and actions are mobilized by the discourse of smart cities in a particular context.

Taking a brand interpretive approach, this paper uses deconstructive criticism to understand the performativity of smart cities within the Brazilian Charter for Smart Cities and to expose hegemonic power structures and the various colonizations that disenfranchise consumers and citizens of the Global South.

This paper finds that the branding of smart cities within the Brazilian Charter for Smart Cities is largely performative and rhetorical in nature. The authors identify those dimensions of the smart city that are materialized by this branding performance. For example, the authors identify how the Charter calls forth issues around technological solutionism, sustainability and social inclusion. At the same time, the analysis draws attention to the dimensions of smart cities that are disguised by such performances.

The implications of the work suggest that the authors need to understand the designation “smart city” as a branding performance. More research is required in context to determine in exactly what ways smart city projects are being implemented.

Rather than adhering only to the rhetoric of smartness, cities have to work hard to make smartness a reality – a smartness constructed not just on technical solutions but also on human solutions. That is, the complexity of urban issues that are apparently addressed in the move to smartness demand more than a technological fix.

The research offers a novel lens through which to view smart cities.

Routine general practice (GP) care is rarely comprehensively described in clinical trials. This paper examines routine GP care within the lifestyle approach to managing panic (LAMP) study. The aim of this paper is to describe/discuss routine GP care for panic disorder (PD) patients within both study arms in the LAMP study. An unblinded pragmatic randomised controlled trial in 15 East of England GP practices (2 primary care trusts). Participants met Diagnostic and Statistical Manual of Mental Disorders, Fourth Edition criteria for PD with/without agoraphobia. Follow-up measures recorded at 20 weeks/10 months following randomisation. Control arm, unrestricted routine GP care (practice appointments, referrals and prescriptions). Trial arm, occupational therapy-led lifestyle treatment comprising lifestyle review of fluid intake, diet pattern, exercise, caffeine, alcohol and nicotine. Primary outcome measure: beck anxiety inventory. At baseline, participants attended 2-3 times more GP appointments than population average, reducing at 10 months to 1.6 times population average for routine GP care and 0.97 population average for lifestyle arm. At 10 months, 33% fewer referrals (6 referrals; 0 mental health) than at baseline (9 referrals; 2 mental health) were made for lifestyle arm patients compared with 42% increase (from 12 referrals; 8 mental health at baseline to 17 referrals; 7 mental health) in GP care arm. Selective serotonin reuptake inhibitors were prescribed most often. Benzodiazepines and beta-blockers were prescribed more often than tricyclic against current clinical guidelines. In conclusion, we found that PD patients at baseline were high healthcare resource users. Treatment in both study arms reduced resource use. Routine GP care requires further review for this patient group.