title: Cryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemic

authors: Corbet, Shaen

subjects: Social Sciences

abstract: This chapter presents a new paradigm for sustainable data – driven language learning systems design in higher education that draws on qualitative reflections spanning a decade (2012–2022) with stakeholders from an ongoing global research study with the FLAX (Flexible Language Acquisition) and F-Lingo projects at the University of Waikato in Aotearoa New Zealand (Fitzgerald (2019) A new paradigm for open data-driven language learning systems design in higher education; König et al. (2022)SmartCALL). Design considerations are presented for remixing domain specific open access content into Open Educational Resources (OER) for academic English language provision across formal and non-formal higher education contexts. Primary stake holders in the research collaboration include the following three groups: (1) Knowledge organisations that provide open access to academic content—libraries and archives, including the British Library and the Oxford Text Archive, universities in collaboration with MOOC providers and the CORE (COnnecting REpositories) open access aggregation service at the UK Open University; (2) Researchers who mine and remix academic content into corpora and open data-driven language learning systems—converging from the fields of open education, computer science and applied corpus linguistics; (3) Knowledge users who re-use and remix academic content into OER—English for Academic Purposes (EAP) practitioners from university language centres. Automated content analysis was carried out on a corpus of interview and focus discussion data with the three stakeholder groups in this research. We discuss themes arising from the research data that reflect the different stakeholders’ experiences of remixing open access research content that has been produced within the academy for re-use as open educational content for teaching and learning features of academic language within open data-driven language learning systems. These open learning systems have been specifically designed to scale with OER expansion and traction in mind for their sustainable uptake both within and beyond the brick and mortar of the traditional university. The new paradigm presented in this chapter challenges, as the OER movement must, established business models and deeply embedded cultural or institutional norms that present obstacles to OERexpansion and traction and the sustainability of the movement. One persistent challenge concerns the lack of open education policy across the higher education sector for full open access (for use, modification, adaptation) via Creative Commons licensing to content produced within the academy. Thus, while this research has theoretical and practical implications in applied linguistics, computer science, language teaching and learning and open education, more generally, it also has significant cultural, business model and policy implications for higher education.

text: Cryptocurrency liquidity and volatility interrelationships during the COVID-19 pandemic This chapter presents a new paradigm for sustainable data – driven language learning systems design in higher education that draws on qualitative reflections spanning a decade (2012–2022) with stakeholders from an ongoing global research study with the FLAX (Flexible Language Acquisition) and F-Lingo projects at the University of Waikato in Aotearoa New Zealand (Fitzgerald (2019) A new paradigm for open data-driven language learning systems design in higher education; König et al. (2022)SmartCALL). Design considerations are presented for remixing domain specific open access content into Open Educational Resources (OER) for academic English language provision across formal and non-formal higher education contexts. Primary stake holders in the research collaboration include the following three groups: (1) Knowledge organisations that provide open access to academic content—libraries and archives, including the British Library and the Oxford Text Archive, universities in collaboration with MOOC providers and the CORE (COnnecting REpositories) open access aggregation service at the UK Open University; (2) Researchers who mine and remix academic content into corpora and open data-driven language learning systems—converging from the fields of open education, computer science and applied corpus linguistics; (3) Knowledge users who re-use and remix academic content into OER—English for Academic Purposes (EAP) practitioners from university language centres. Automated content analysis was carried out on a corpus of interview and focus discussion data with the three stakeholder groups in this research. We discuss themes arising from the research data that reflect the different stakeholders’ experiences of remixing open access research content that has been produced within the academy for re-use as open educational content for teaching and learning features of academic language within open data-driven language learning systems. These open learning systems have been specifically designed to scale with OER expansion and traction in mind for their sustainable uptake both within and beyond the brick and mortar of the traditional university. The new paradigm presented in this chapter challenges, as the OER movement must, established business models and deeply embedded cultural or institutional norms that present obstacles to OERexpansion and traction and the sustainability of the movement. One persistent challenge concerns the lack of open education policy across the higher education sector for full open access (for use, modification, adaptation) via Creative Commons licensing to content produced within the academy. Thus, while this research has theoretical and practical implications in applied linguistics, computer science, language teaching and learning and open education, more generally, it also has significant cultural, business model and policy implications for higher education.

year: 2022-03-01

title: Investigating state and trait aspects of resilience using Generalizability theory

authors: Child, Lucy E.

abstract: Challenges of modern living such as burden of disease, a global COVID-19 pandemic and workplace stress leading to anxiety and depression raise the importance of psychological resilience. Psychological interventions should increase trait resilience that involves reinforcing state resilience and requires a clear distinction between state and trait aspects of the construct. Generalizability theory is the appropriate method increasingly used to distinguish between state and trait and to establish reliability of psychological assessment. G-theory was applied to examine five major resilience scales completed at 3 time-points by the sample (n = 94) that possess adequate statistical power for such analyses. All five resilience scales demonstrated strong reliability and generalizability of scores across occasions and sample population as expected for a valid trait measure (G > 0.90). However, eight state aspects of resilience were identified from all five resilience scales including adaptation to change; perseverance; self-confidence while facing adversity; self-efficacy; trust in instincts; ability to follow plans; non-reactivity; and ability to plan. State aspects of resilience appear to show more variability and, pending further research, could potentially be a target for resilience-building interventions. All five measures of resilience are useful to assess long-lasting changes in resilience. Development of a state resilience scale is warranted.

text: Investigating state and trait aspects of resilience using Generalizability theory Challenges of modern living such as burden of disease, a global COVID-19 pandemic and workplace stress leading to anxiety and depression raise the importance of psychological resilience. Psychological interventions should increase trait resilience that involves reinforcing state resilience and requires a clear distinction between state and trait aspects of the construct. Generalizability theory is the appropriate method increasingly used to distinguish between state and trait and to establish reliability of psychological assessment. G-theory was applied to examine five major resilience scales completed at 3 time-points by the sample (n = 94) that possess adequate statistical power for such analyses. All five resilience scales demonstrated strong reliability and generalizability of scores across occasions and sample population as expected for a valid trait measure (G > 0.90). However, eight state aspects of resilience were identified from all five resilience scales including adaptation to change; perseverance; self-confidence while facing adversity; self-efficacy; trust in instincts; ability to follow plans; non-reactivity; and ability to plan. State aspects of resilience appear to show more variability and, pending further research, could potentially be a target for resilience-building interventions. All five measures of resilience are useful to assess long-lasting changes in resilience. Development of a state resilience scale is warranted.

year: 2023-01-01

title: Patient-reported diagnostic intervals to colorectal cancer diagnosis in the Midland region of New Zealand: a prospective cohort study

authors: Blackmore, Tania Louise

subjects: Science & Technology

abstract: Background and objectives
New Zealand (NZ) has high rates of colorectal cancer (CRC) but low rates of early detection. The majority of CRC is diagnosed through general practice, where lengthy diagnostic intervals are common. We investigated factors contributing to diagnostic delay in a cohort of patients newly diagnosed with CRC.

Methods
Patients were recruited from the Midland region and interviewed about their diagnostic experience using a questionnaire based on a modified Model of Pathways to Treatment framework and SYMPTOM questionnaire. Descriptive statistics were used to describe the population characteristics. Chi-square analysis and logistic regression were used to analyse factors influencing diagnostic intervals.

Results
Data from 176 patients were analysed, of which 65 (36.9%) experienced a general practitioner (GP) diagnostic interval of >120 days and 96 (54.5%) experienced a total diagnostic interval (TDI) > 120 days. Patients reporting rectal bleeding were less likely to experience a long TDI (odds ratio [OR] 0.34, 95% confidence interval [CI]: 0.14–0.78) and appraisal/help-seeking interval (OR, 0.19, 95% CI: 0.06–0.59). Patients <60 were more likely to report a longer appraisal/help-seeking interval (OR, 3.32, 95% CI: 1.17–9.46). Female (OR, 2.19, 95% CI: 1.08–4.44) and Māori patients (OR, 3.18, 95% CI: 1.04–9.78) were more likely to experience a long GP diagnostic interval.

Conclusion
NZ patients with CRC can experience long diagnostic intervals, attributed to patient and health system factors. Young patients, Māori, females, and patients experiencing change of bowel habit may be at particular risk. We need to increase symptom awareness of CRC for patients and GPs. Concentrated efforts are needed to ensure equity for Māori in access to screening, diagnostics, and treatment.

text: Patient-reported diagnostic intervals to colorectal cancer diagnosis in the Midland region of New Zealand: a prospective cohort study Background and objectives
New Zealand (NZ) has high rates of colorectal cancer (CRC) but low rates of early detection. The majority of CRC is diagnosed through general practice, where lengthy diagnostic intervals are common. We investigated factors contributing to diagnostic delay in a cohort of patients newly diagnosed with CRC.

Methods
Patients were recruited from the Midland region and interviewed about their diagnostic experience using a questionnaire based on a modified Model of Pathways to Treatment framework and SYMPTOM questionnaire. Descriptive statistics were used to describe the population characteristics. Chi-square analysis and logistic regression were used to analyse factors influencing diagnostic intervals.

Results
Data from 176 patients were analysed, of which 65 (36.9%) experienced a general practitioner (GP) diagnostic interval of >120 days and 96 (54.5%) experienced a total diagnostic interval (TDI) > 120 days. Patients reporting rectal bleeding were less likely to experience a long TDI (odds ratio [OR] 0.34, 95% confidence interval [CI]: 0.14–0.78) and appraisal/help-seeking interval (OR, 0.19, 95% CI: 0.06–0.59). Patients <60 were more likely to report a longer appraisal/help-seeking interval (OR, 3.32, 95% CI: 1.17–9.46). Female (OR, 2.19, 95% CI: 1.08–4.44) and Māori patients (OR, 3.18, 95% CI: 1.04–9.78) were more likely to experience a long GP diagnostic interval.

Conclusion
NZ patients with CRC can experience long diagnostic intervals, attributed to patient and health system factors. Young patients, Māori, females, and patients experiencing change of bowel habit may be at particular risk. We need to increase symptom awareness of CRC for patients and GPs. Concentrated efforts are needed to ensure equity for Māori in access to screening, diagnostics, and treatment.

year: 2021