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Innovation in Music: Adjusting perspectives
No full textInnovation in Music: Adjusting Perspectives brings together cutting-edge research on new innovations in the field of music production, technology, performance, and business. With contributions from a host of well-respected researchers and practitioners, this volume provides crucial coverage on the relationship between innovation and rebellion
Development and Validation of the Perfectionism Literacy Questionnaire
Get PDFPerfectionism is a multidimensional personality characteristic associated with mental health problems. However, its features are commonly misunderstood, and many people are unaware of the risks it can pose. This study aimed to develop the first self-report measure of perfectionism literacy. That is, the degree of knowledge someone has about perfectionism, its features and consequences, and when and where to seek help if needed. The Perfectionism Literacy Questionnaire (PLQ) was validated over four stages using four samples of community adults (N = 1078 total; Mage = 37.17 years). In stage one, we generated a pool of items. In stage two, we used exploratory and confirmatory factor analysis to derive a 29-item, seven-factor measure. In stage three, we assessed relationships between the PLQ, perfectionism, and attitudes toward help-seeking for mental health support and found the PLQ is distinguishable from these constructs. In stage four, we examined whether the PLQ was responsive to change following an educational video on perfectionism. We found tentative evidence that minimal intervention can increase perfectionism literacy. Our findings suggest that the PLQ is valid and reliable and may be useful for educational purposes and primary prevention of mental health problems
Factors and Challenges Influencing Blockchain Adoption in SMEs and the Potential Impact on Performance
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The Anatomy of Angels
No full textThe Anatomy of Angels (for clarinet, cello and piano) was performed by Amabile (Lesley Shatzberger, Nicola Tait Baxter and Paul Watkinson) at Late Music Concerts, York, on Saturday 2nd November 2024
Predictive Modeling of Tourist Arrivals in Sri Lanka Using Linear Regression
Get PDFOne of the sectors of a developing nation's economy that directly generates income is tourism. For this reason, predicting the number of visitors is crucial when deciding on policies to upgrade facilities and other relevant aspects of this sector. The data for this paper were gathered from the Corporate website of the Sri Lanka tourism development authority(SLTDA)This paper attempts to forecast tourist arrivals in Sri Lanka using Linear Regression Model. The time span used for this study is from January 2021 to March 2024. The performance of the model was evaluated using metrics such as Mean Absolute Error (MAE) and Root Mean Squared Error (RMSE) and R2 score. This paper forecasts tourist arrivals in Sri Lanka using the Linear Regression Model. While Linear Regression is suitable due to its simplicity and the scope of the dataset, more advanced forecasting models such as ARIMA or deep learning approaches like LSTM could have been considered for a more robust comparison. The study uses data from January 2021 to March 2024, and the model's performance is evaluated using metrics such as Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R² score. The findings suggest that machine learning models can improve the forecasting accuracy of visitor arrivals, providing valuable insights for stakeholders in the tourism industry.
Keywords: Linear Regression Model, forecast, tourist arrivals, predictions, MAE, RMSE, R2 scor
Speak for yourself: usability and acceptability of audio diaries to explore physical activity, sedentary and sleep behaviours of those living with severe mental illness
Get PDFBackground: People living with severe mental illness (SMI) face significant health inequalities, including reduced quality of life and life expectancy. Evidence has shown that people living with SMI are highly sedentary, face challenges when seeking to engage in physical activity (PA), and experience sleep difficulties. Motivation, mood and energy have been identified as critical determinants of these behaviours. PA and sleep are traditionally measured in isolation using quantitative approaches, limiting our understanding of the contexts and interactive ways in which these occur, especially for this population. Here, we adopted a flexible and holistic approach, using audio diaries to explore the usability and acceptability of capturing movement behaviours in people living with SMI. Methods: This study employed a qualitative design. Data were collected with 10 participants self-identifying as living with SMI, who completed 7-days of audio diaries, pre and post diary use interviews. Reflexive thematic analysis was used to analyse participants’ movement behaviours and their experiences of using the audio diaries. Results: Audio diaries were perceived as acceptable to participants and their use for data capture was feasible, with participants experiencing their use as a flexible and empowering method of data capture. Within the exploratory data generated we identified four themes relating to participants’ movement behaviours: finding themselves in a “vicious circle” with physical and mental issues impacting movement behaviours; a daily internal fight and dialogue concerning fear of feeling guilty and wasting time; a determination to “not let fatigue win” by pushing through the day; and the mixed effects of understanding the importance of movement behaviours yet finding it challenging to engage. Conclusion: Audio diaries offered an easy to use and relatively inclusive means of exploring movement behaviours for people living with SMI, especially their context and interrelated nature. Our findings reinforced the well-established link between mental and physical health, and their influence on 24 h movement behaviours, identifying population-specific challenges derived from medication side effects, rigid engagement opportunities, and illness symptoms. Given this, co-production involving individuals with lived experience is crucial for developing tailored recommendations and support to promote sleep and movement among those living with SMI. We emphasized the need for holistic measurement approaches and opportunities that consider the interconnected impact of disrupted sleep and movement
Innovation in Music: Cultures and Contexts
No full textInnovation in Music: Cultures and Contexts is a groundbreaking collection bringing together contributions from instructors, researchers, and professionals. Split into two sections, covering creative production practices and national/international perspectives, this volume offers truly global outlooks on ever-evolving practices