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Exploring the relationship between sustainable entrepreneurship and the United Nations sustainable development goals: A comprehensive literature review
No full textThis research study aims to investigate the relationship between entrepreneurship and sustainable development, as well as explore how entrepreneurship can contribute to addressing the challenges associated with sustainable development. The significance of this topic lies in the fact that sustainable development is crucial for the long-term well-being of societies and the planet, and entrepreneurship has the potential to play a vital role in achieving sustainable development goals. Through a systematic literature review, this study evaluates how sustainable business activities can help achieve Sustainable Development Goal 8 (SDG 8-Decent Work and Economic Growth). The study employs the Scopus indexing online database and VOSviewer, a data mining tool, to identify scholarly literature related to sustainable entrepreneurship and SDG-8 published between 2015 and 2022. The bibliometric study indicates a significant growth in the scientific literature on this topic in recent years. The study identifies five research subjects, including current trends in the literature on SDGs, economic development, socioeconomic growth, durability, higher education, and other related topics. By conducting a thorough inquiry into the literature, this study aims to contribute to the understanding of the relationship between entrepreneurship and sustainable development, and provide insights into how entrepreneurship can be leveraged to achieve sustainable development goals. Ultimately, this research has important implications for policymakers, businesses, and individuals interested in promoting sustainable development and creating a more equitable and prosperous world
A step towards environmental mitigation: Do green technological innovation and institutional quality make a difference?
No full textSouth Asian economies have had substantial development in recent decades, but policymakers are concerned about long-term output stability. Considering this, institutional quality and green technical innovation are recognized as effective mechanisms to mitigate CO2 emissions and promote sustainable growth as guided in core of COP 26. Consequently, the goal of this study is to investigate the long-run effect of institutional quality, green technology innovation, renewable energy, trade openness, population and economic growth on CO2 emissions from 1995 to 2020 in selected South Asian countries. Due to the possibility of residual cross-sectional reliance and heterogeneity, the study examined the relationship between the variables using second-generation panel techniques. The empirical findings show that green technological innovation and renewable energy reduce CO2 emissions by 0.084% and 0.054% respectively. Institutional quality, population growth, trade openness and economic growth degrade the environment 0.215%, 0.300%, 0.195% and 0.182% respectively. Dumitrescu and Hurlin (D-H) found a bidirectional causality association between green technological innovation, renewable energy consumption, trade openness, population size, economic growth, and CO2 emissions. This study offers policy recommendations for achieving a low-carbon economy, increasing the use of renewable energy, improving the institutions, making more investments in green technology, and ensuring environmental sustainability in South Asian economies
Introduction : Trouble and care in the English language classroom
No full textThis introductory chapter takes a broad look at inclusion in English language education (ELE). It considers an ‘ethic of care’ as a framework for exploring inclusion, looking at the English language and the English language classroom as sites for applying such a framework. The chapter considers a ‘caring’ conceptualisation of both the English language and the English language classroom and attempts to reconcile those caring conceptualisations within existing ELT methodologies. As such, it is an attempt to bridge the ‘gap’ between progressive and inclusive pedagogies and mainstream ELT. The chapter also serves as an introduction to the volume and provides a brief overview of each chapter
“Not wanting to see it is hypocrisy, it's denying what is obvious”: Far‐right discriminatory discourses mobilised as common sense
Get PDFThe far‐right recently entered the Portuguese parliament with the election of André Ventura, leader of the political party Chega. Since 2019, Chega has grown exponentially and has become the third political force. This study aimed to explore how Ventura represents different members of Portuguese society. We examine what meanings are reproduced to configure social representations about different category groups, adopting Critical Discourse Analysis tools to explore how they were mobilised as legitimate. We analysed 253 posts shared by Ventura on Facebook, Twitter, and Instagram from the 22nd of December 2020 to the 22nd of January 2021, a month before the 2021 presidential elections. Our analysis suggests that Ventura represents a reality in which only he can save the “good Portuguese” from the threats of three main enemies: Roma people, Black people, and so‐called “antifascist” activists. We discuss how those representations relate to what has been found in other contexts and their implications for the promotion of discrimination and marginalisation of these groups in Portugal. We also point out the potential benefits of integrating Critical Discourse Analysis methodological tools for the development of the Theory of Social Representations. Please refer to the Supplementary Material section to find this article's Community and Social Impact Statement
Mental and physical health outcomes of burnout in athletes: A systematic review and meta-analysis
Get PDFBurnout is a mental health problem that appears to be increasingly common among athletes. Importantly, burnout may also simultaneously increase the risk for other health consequences. In order to examine this idea further, in the present study we provide the first systematic review and meta-analysis of the association between athlete burnout and mental and physical health outcomes. A literature search returned 54 studies (N = 13,976 athletes) examining various negative (e.g., depression, anxiety, insomnia; 27 studies) and positive (e.g., satisfaction, vitality, quality of life; 19 studies) mental health outcomes and physical health outcomes (e.g., biomarkers, somatic symptoms, physiological indices; 18 studies). A systematic review of this literature showed that athlete burnout was associated with both increases in negative mental health outcomes and decreases in positive mental health outcomes. However, evidence for an association between athlete burnout and physical health outcomes was mixed. This broad pattern of findings was supported by a meta-analysis. Our review suggests that burnout may indeed have many negative implications for athletes’ health. The findings also identify a need for further research in this area, especially in relation to burnout and its longitudinal association with biomarkers and physiological indices
Service User Experiences of the Humber and North Yorkshire Resilience Hub
Get PDFWith increasing workplace pressures within the NHS, the Humber and North Yorkshire Resilience Hub offers support to health, care, and emergency service staff in the Humber and North Yorkshire region. The Resilience Hub provides priority access to confidential and independent services for a range of mental health issues with the aim of supporting staff in
staying at work, returning to work, and being more productive at work. This report assesses service user experiences among health and care workers, and other professionals accessing the service, with the aim of informing and improving future service delivery
Working With Adults with Communication Difficulties in the Criminal Justice System. A Practical Guide for Speech and Language Therapists
No full textThis book offers guidance for speech and language therapists and other professionals who are working in a criminal justice setting or who are interested to know more about this dynamic and rewarding client group.
The criminal justice system (CJS) includes police custody, community services, secure hospitals and prisons. Although each setting has its differences, there are overarching areas associated with speech, language and communication needs (SLCN) within the population who find themselves coming into contact with the CJS.
These needs are many and varied: from social deprivation and developmental language disorder, to head injury, substance misuse and ADHD. The variety is both stimulating and challenging, and this book provides the reader with a range of resources to use with such a complex client base. Key features include:
academic evidence about SLCN in the CJS
accessible visuals explaining the systems pathways
resources to support assessment and intervention
information to support individuals with a range of overlapping needs.
Aimed primarily at speech and language therapists, the book also includes useful content for students, academics and professionals who wish to know more about SLCN within the CJS. As well as being full of useful infographics, this book includes a vast appendix of online material that can be downloaded and printed for use in practice
Do people feel they belong? Socio‐political factors shaping the place attachment of Hong Kong citizens
Get PDFHong Kong citizens’ sense of belonging has gone through a period of fluctuation during the period of rapid socio‐political and legal change since the outbreak of the Anti‐Extradition Law Amendment Bill Movement in 2019. This study explored how multiple dimensions of the place attachment of Hong Kong citizens have been shaped by factors associated with these changes. Six socio‐political variables were incorporated into the three dimensions of the person–process–place (PPP) framework. Based on a representative survey of the local population (n = 768), we found that political inclination and identity were significantly associated with the sense of place, with citizens identifying as Chinese and aligning with the pro‐establishment camp showing higher levels of place attachment. Mobility was negatively associated with place attachment, whereas the correlation between attachment and perceptions of the law and legal system was positive. The study has implications for Hong Kong’s current socio‐political and institutional environment and for emigration. It also demonstrates the wider applicability of the PPP framework for identifying and clarifying the various predictors of different dimensions of place attachment
Deep Learning Model Regression Based Object Detection for Adaptive Driving Beam Headlights
Get PDFAs the world moves toward automated driving (AD) continues, the future of adaptive driving beam headlights (ADB), is quickly coming into focus. Engineers, developers and designers are researching hard to identify the most effective combination of components to meet driver requirements for safety and visibility. ADB is a technology used in automotive headlight systems that automatically adjusts the beam pattern of the headlights to provide the best visibility for the driver while also reducing glare for oncoming drivers. The system uses cameras, sensors, and algorithms to detect the presence of other vehicles on the road and adjust the headlight beams accordingly. This allows the driver to have the highest level of visibility while minimizing the risk of dazzling other drivers. ADB is available on many vehicles including Europe, Asia & Middle East. Adaptive capabilities help reveal critical objects such as lane markings, pedestrians, and oncoming cars while avoiding using full high beams that might temporarily blind an oncoming vehicle driver. However, designing and developing a solution for the real road conditions is time-intensive, expensive, and complex. Hence, there is a requirement for adaptive driving beam headlights to detect the oncoming vehicles to reduce the glare for oncoming vehicle drivers. The detection solution needs to be fast, accurate and easy to integrate with automotive vehicular systems. This paper reviews various detection techniques that can be used in implementing adaptive headlamps and application of the Machine Learning technique to predict fast and accurate object detectio