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Exploring the role of U.K. Government policy in developing the university entrepreneurial finance ecosystem for Cleantech
Get PDFVast sums of public money are invested into universities globally as anchor institutions and knowledge bases providing seedbed resources for research and development (R&D) and entrepreneurship. Focusing on university science and technology (S&T) research we examine two UK case studies of government support from the ‘Innovation Knowledge Centre’ (IKC) program to translate research into industry innovation for public good. Although IKCs are not tasked to address Climate Change, the two case studies demonstrate tremendous potential for Cleantech development. An exploratory entrepreneurial finance (‘entfin’) ecosystem theoretical lens contextualizes the catalytic roles of universities and public funding to support industry at the base of the innovation finance escalator. We thus develop university-industry ecosystems literature, addressing the gap in nurturing university entfin for climate change. Our qualitative case study methodology includes literature review and 51 key informant interviews with: policymakers; university research leaders, technology transfer officers, specialist research to industry innovation ‘translation’ staff, SME beneficiaries, trade bodies; and early-stage private finance providers. We reveal nuances in different emerging innovation sectors – notably their degree of maturity, locality and outcome horizons for achieving impact, drawing attention to the key roles of universities and financing and their interactions within their entfin ecosystems. We demonstrate the need for government long horizon, deep pocket, investment and integrated university entfin policy mix, alongside more open, inclusive, ecosystem development between different actors
IENE 9 project: Developing a culturally competent and compassionate LGBT + curriculum in health and social care education
Get PDFIntroduction
The IENE projects (2008–2022) aim to promote a model for developing intercultural dialogue and enhance the ability to provide culturally competent and compassionate care for the health and social care professionals at national and European levels. The IENE 9 project, named “Developing a culturally competent and compassionate LGBT + curriculum in health and social care education,” builds on the work developed in the previous IENE projects and emphasizes the importance of addressing LGBT + issues in health and social care education.
Method
Through an innovative Massive Open Online Course (MOOC), professionals will learn the skills to work toward building an LGBT + inclusive health and social care system.
Result
Notwithstanding the progress made in recent years on LGBT + issues, research indicates that too little attention has been given to LGBT + needs in health and social care settings, and these remain substantial issues that are often ignored.
Conclusion
This letter to the editor aims to present the IENE 9 project given that greater efforts are needed to improve professionals’ skills regarding sexual and gender minority population. We strive to continue our efforts in promoting the well-being and mental health of LGBT + people in health and social care education
Flood risk: a capacity and vulnerability analysis of Newham and Hammersmith, UK
Get PDFThe intensity of floods due to climate change has significantly increased in both developed and developing countries. Flood prevention measures are assumed to be more robust in more developed economies with the ability to dedicate greater economic resources. However, in London, a deeper interrogation of flood risk management (FRM) tells a different story. This study presents a comparative capacity and vulnerability analysis of the Newham and Hammersmith areas of London. The analysis suggests lower levels of resiliency for Newham, a lower-income and ethnically diverse area. On the contrary, the more affluent area of Hammersmith is more likely to be better equipped to respond and recover in the event of flooding
Mihailo Petrović (1868-1943)
No full textA summary of the career and life of the Serbian mathematician Mihailo Petrovic, and his involvement in the work of ICME at its foundation
Neurodiversity and education
No full textStudies show that 1 in 7 people are neurodivergent and numbers are thought to be higher in healthcare, as neurodivergent people are attracted to caring roles. Unfortunately, our learning needs and adjustments are often not met, and this leads to high levels of burnout and attrition. Neurodivergence is a protected characteristic under the Equality Act 2010 and more needs to be done to improve working conditions for neurodivergent people. I believe that the implementation of neurodiversity awareness training and improved support networks throughout trusts would lead to neurodivergent colleagues feeling able to seek support they need without feeling ostracised or othered.
The RCM conference will be the opportunity to present the launch of the new RCM Neurodiversity in the workplace imodule and to introduce the attendees to concrete ways to support and work alongside neurodivergent students and colleagues
Digital transformation of incumbent service firms: legacy removal strategies
No full textFor strategic leaders of incumbent service firms, the challenge of digital transformation involves the removal of legacy IT systems without sacrificing critical income streams. We argue that the removal of these is a distinct component of the third core constituent of dynamic capabilities – transforming. Employing two case studies, DNB and Telenor, we explore the micro-level processes through which strategic leaders attempted to remove technology-related legacy to foster digital transformation. Both DNB and Telenor viewed legacy removal as critical for digital transformation. To theorize the micro-foundations of legacy removal, we examined the approaches top management either used or considered using to remove legacy. Our analysis revealed three distinctive approaches to legacy removal: escaping, shrinking, and terminating (‘big-bang’ versus ‘step-by-step’)
Visual attribution using Adversarial Latent Transformations
Get PDFThe ability to accurately locate all indicators of disease within medical images is vital for comprehending the effects of the disease, as well as for weakly-supervised segmentation and localization of the diagnostic correlators of disease. Existing methods either use classifiers to make predictions based on class-salient regions or else use adversarial learning based image-to-image translation to capture such disease effects. However, the former does not capture all relevant features for visual attribution (VA) and are prone to data biases; the latter can generate adversarial (misleading) and inefficient solutions when dealing in pixel values. To address this issue, we propose a novel approach Visual Attribution using Adversarial Latent Transformations (VA2LT). Our method uses adversarial learning to generate counterfactual (CF) normal images from abnormal images by finding and modifying discrepancies in the latent space. We use cycle consistency between the query and CF latent representations to guide our training. We evaluate our method on three datasets including a synthetic dataset, the Alzheimer’s Disease Neuroimaging Initiative dataset, and the BraTS dataset. Our method outperforms baseline and related methods on all datasets
Total score of athleticism: profiling strength and power characteristics in professional soccer players following anterior cruciate ligament reconstruction to assess return to sport readiness
Get PDFSingle leg drop jump (SLDJ) assessment is commonly used during the later stages of rehabilitation to identify residual deficits in reactive strength but the effects of physical capacity on kinetic and kinematic variables in male soccer players following ACL reconstruction remains unknown. Isokinetic knee extension strength, kinematics from an inertial measurement unit 3D system and SLDJ performance variables and mechanics derived from a force plate were measured in 64 professional soccer players (24.7 ± 3.4 years) prior to return to sport (RTS). SLDJ between-limb differences were measured (part 1) and players were divided into tertiles based on isokinetic knee extension strength (weak, moderate and strong) and reactive strength index (RSI) (low, medium and high) (part 2). Moderate to large significant differences between the ACL reconstructed and uninjured limb in SLDJ performance (d = 0.92 – 1.05), kinetic (d = 0.62 – 0.71) and kinematic variables (d = 0.56) were evident. Stronger athletes jumped higher (p = 0.002; d = 0.85), produced greater concentric (p = 0.001; d = 0.85) and eccentric power (p = 0.002; d = 0.84). Similar findings were present for RSI, but the effects were larger (d = 1.52 – 3.84). Weaker players, and in particular those who had lower RSI, displayed landing mechanics indicative of a “stiff” knee movement strategy. SLDJ performance, kinetic and kinematic differences were identified between-limbs in soccer players at the end of their rehabilitation following ACL reconstruction. Players with lower knee extension strength and RSI displayed reduced performance and kinetic strategies associated with increased injury risk
Intelligence and consciousness in natural and artificial systems
No full textHumans are highly intelligent, and their brains are associated with rich states of consciousness. We typically assume that animals have different levels of consciousness, and this might be correlated with their intelligence. Very little is known about the relationships between intelligence and consciousness in artificial systems.
Most of our current definitions of intelligence describe human intelligence. They have severe limitations when they are applied to non-human animals and artificial systems. To address this issue, this chapter sets out a new interpretation of intelligence that is based on a system’s ability to make accurate predictions. Human intelligence is measured using tests whose results are converted into values of IQ and g-score. This approach does not work well with non-human animals and AIs, so people have been developing universal algorithms that can measure intelligence in any type of system. In this chapter a new universal algorithm for measuring intelligence is described, which is based on a system’s ability to make accurate predictions.
Many people agree that consciousness is the stream of colorful moving noisy sensations that starts when we wake up and ceases when we fall into deep sleep. Several mathematical algorithms have been developed to describe the relationship between consciousness and the physical world. If these algorithms can be shown to work on human subjects, then they could be used to measure consciousness in non-human animals and artificial systems.
At present we can use our own imagination, intelligence and consciousness to picture possible relationships between intelligence and consciousness in non-human systems. In the future, we could use mathematical algorithms to measure intelligence, measure consciousness and identify correlations between intelligence and consciousness. This would lead to a more rigorous scientific understanding of the relationships between intelligence and consciousness in natural and artificial systems
Gender mainstreaming at the European Court of Human Rights: the need for a coherent strategy in approaching cases of violence against women and domestic violence
Get PDFAny assessment of the jurisprudence of the European Court of Human Right’s (ECtHR) in the field of violence against women and domestic violence must start with an acknowledgement of the ECtHR’s landmark judgments in this area and the positive practical impact those judgments have had upon the protection of women.
However, much progress is still to be made. This article analyses three ECtHR cases from Russia and Georgia, and in so doing, highlights the need for greater transparency, proactivity, and coherency on the part of the Court. It considers in turn: a) the seemingly discriminatory impact of the ECtHR’s approach to applications for interim measures; b) the need for judicial proactivity in bringing a gender perspective and gender mainstreaming to cases brought before the Court; c) the lack of a reasoned and transparent approach with regard to redress. Ultimately, the article puts forward potential improvements which could be made to ensure that the ECtHR monitors its own practice and procedures in order to address the demonstrable need for a coherent gender mainstreaming strategy