Search results

Bayesian cubature (BC) has emerged to be one of most competitive approach for estimating the multi-dimensional integral especially when the integrand is expensive to evaluate, and alternative acquisition functions, such as the Posterior Variance Contribution (PVC) function, have been developed for adaptive experiment design of the integration points. However, those sequential design strategies also prevent BC from being implemented in a parallel scheme. Therefore, this paper aims at developing a parallelized adaptive BC method to further improve the computational efficiency.

By theoretically examining the multimodal behavior of the PVC function, it is concluded that the multiple local maxima all have important contribution to the integration accuracy as can be selected as design points, providing a practical way for parallelization of the adaptive BC. Inspired by the above finding, four multimodal optimization algorithms, including one newly developed in this work, are then introduced for finding multiple local maxima of the PVC function in one run, and further for parallel implementation of the adaptive BC.

The superiority of the parallel schemes and the performance of the four multimodal optimization algorithms are then demonstrated and compared with the k-means clustering method by using two numerical benchmarks and two engineering examples.

Multimodal behavior of acquisition function for BC is comprehensively investigated. All the local maxima of the acquisition function contribute to adaptive BC accuracy. Parallelization of adaptive BC is realized with four multimodal optimization methods.

Innovation ecosystems face many environmental challenges. The literature review shows that innovation ecosystems accelerate innovation activity, but empirical studies have not provided enough case studies focusing on the minimum-waste business strategy as one aspect of the circular economy. Various forms of interaction between members occur in the innovation ecosystems, which determines the level of cooperation. This paper aims to show the structure and forms of cooperation in an innovation ecosystem using the Czech Hemp Cluster (CHC) and its surroundings and suggest research directions in the field of interaction between members in an innovation ecosystem. Although hemp is associated with the production and distribution of narcotics, it is a versatile plant supporting the minimum-waste business strategy.

The research is based on a theoretical part of a literature review of major scientific articles on innovation ecosystems from 2016 to 2021. The case study of the CHC and the hemp ecosystem is based on qualitative research in the form of a content analysis of the mission of the cluster members. In addition to content analysis, the classic multidimensional scaling method and hierarchical cluster analysis were used to reveal ecological guilds.

The case study highlighted the specific relationship between the cluster and the ecosystem. The cluster does not determine the ecosystem boundaries, but the ecosystem is a much broader system of cooperation and interaction between organisations. Clusters emerge after an ecosystem has existed for a particular time to coordinate collaboration and information between organisations and stakeholders. The analysis of the CHC revealed the specific role of non-profit organisations (NPOs) in the innovation ecosystem. NPOs are not engaged in primary functions in the value chain, but they provide supporting activities through coordinated networking, disseminating information on innovation, awareness-raising and stakeholder education. Compared to natural ecosystems, innovation ecosystems are typically characterised by higher forms of collaboration between members.

An exciting opportunity for research on innovation ecosystems is the ecological guilds taken from natural ecosystems and whose identification can help define the boundaries of innovation ecosystems. An opportunity for further research is the comparison of NPO-based and government-based clusters playing a central role in developing innovation ecosystems. Regarding the problematic generalisability of the case study to the entire agricultural production, a challenge is a search for minimum-waste business models in agriculture characterised by the biological nature of production.

Theoretical and empirical studies have not yet considered innovation ecosystems in the minimum-waste context to a sufficient extent. The paper builds on previous scholarly studies focusing on innovation ecosystems and, for the first time, discusses the role of NPOs in the innovation ecosystem. The CHC case study adds a suitable minimum-waste business model to the still very scarce literature on sustainable innovation ecosystems. The article discusses the purpose and forms of cooperation in an innovation ecosystem, identifies a complementarity of roles in the innovation cluster and describes the interrelationship between the cluster and the ecosystem. Discussion of the ecosystem leader in the cluster-based innovation ecosystem shows the differences between Czech, Polish and German life science ecosystems.

Elite interviewing is a well-established area of interview research methods. Nevertheless, the actual casting of an “elite” has been generally conducted in a prima facie or broad manner. A consideration of entrepreneurs and owner-managers as “elites” has been less profiled and received less attention, therefore the paper views the entrepreneurs and owner-managers as constituting a form of “local elite” within given and varying sectorial, regional and community boundaries. The authors argue that a consideration of entrepreneurs as “local elites” and transferring knowledge from an elite interviewing perspective may strongly support scholarly research in the entrepreneurship field.

The study conducts a comprehensive narrative literature review of elite interviewing literature and transfers key methodological insights to the entrepreneurship field. The methodological contribution based on literature is complemented by experiences and observations from an extensive inductive interview study with over 30 entrepreneurs of German manufacturing Small and Medium-sized Entities (SMEs) and are used to reflect on, and refine, interview research approaches with entrepreneurs.

The reflections and discussions in this paper provide valuable insights for other researchers conducting research in entrepreneurship domains regarding the power dynamics of negotiating access, procedural issues of interviews and thereby enhancing the quality of data.

The contribution to knowledge is mainly of a methodological nature. While the paper takes a novel act of recasting elite interviewing in the SME and entrepreneurship context, the paper methodologically contributes to the entrepreneurship and elite interview literature thereby facilitating higher quality interviews.

This study aims to evaluate the effect of Alpha-Stim Anxiety, Insomnia and Depression (AID) cranial electrotherapy stimulation (CES) on anxiety, depression and health-related quality of life for primary care social prescribing service patients with anxiety symptoms.

Open-label patient cohort design with no control group. A total of 33 adult patients (average age 42 years) completed six weeks of Alpha-Stim AID use. Pre- and post-intervention assessment with participant self-report measures: Patient Health Questionnaire (PHQ-9), Generalised Anxiety Disorder (GAD-7) and European Quality of Life Five Dimension (EQ-5D-5L).

Reliable improvement and remission rates, respectively, were 53.39% and 33.3% for GAD-7; 46.7% and 29.5% for PHQ-9. There was a significant improvement in GAD-7 and PHQ-9 with large effect sizes. EQ-5D-5L results showed significant improvements in health-related quality of life. Perceived quality of life increased by 0.17 on the health index score, with the intervention adding 1.68 quality-adjusted life years (QALYs).

Alpha-Stim AID can be delivered through a primary health-care social prescribing service and most patients will use as prescribed and complete treatment course. Alpha-Stim AID CES may be an effective anxiety and depression treatment for people with anxiety symptoms. The widespread roll-out of Alpha-Stim AID in health-care systems should be considered.

To the best of the authors’ knowledge, this is the first study to respond to the UK’s National Institute for Health and Care (NICE) request for the collection of real-world data to understand better Alpha-Stim AID in relation to people’s treatment uptake, response rates and treatment completion rates (NICE, 2021).