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The purpose of this study is to evaluate the effectiveness of “Connect the circle” systems thinking tools for improving contextualised systems thinking from sustainability perspectives. The guiding question is could “Connect the circle” improve sustainability education?

The effect of the “Connect the circle” tool on the development of learning dimensions, especially improved problem understanding, shared vision and quality of communication in STEM modules, was analysed by qualitative and quantitative methods.

Authors find that “Connect the circle” is an effective tool for thinking skills development. However, scaffolding in education is required to achieve higher-order thinking skills by empowering students to become active agents of change, capable of envisioning and implementing sustainable solutions at multiple levels.

Educators must bridge gaps between systems theory and understanding how systems thinking skills should be developed in sustainability contexts. Insights from this research will support the development of knowledge and skills required for higher education institutions graduates to address complex sustainability issues.

Applying this tool to STEM curricula represents an original way to explain student holistic vision to connect systems theory to the application of systems thinking skills for sustainability change.

This study investigates the time‐series properties of operating cash flows per share and earnings per share for all manufacturing firms on the Compustat Quarterly Industrial tape for which sufficient data are available. Both individually‐identified and “premier” models are compared on the basis of their relative fit and forecasting accuracy. The empirical results suggest that for both accounting variables the individually‐identified models outperform the premier models, although this advantage is larger for earnings, and for forecast horizons beyond one quarter ahead. A major conclusion of the study is that the time‐series properties of cash flows are quite different than those of earnings. In particular, the cash flow series are considerably less predictable, as shown by their relatively high incidence of white‐noise series and relatively large forecast errors.

Examines the tenth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

Examines the ninth published year of the ITCRR. Runs the whole gamut of textile innovation, research and testing, some of which investigates hitherto untouched aspects. Subjects discussed include cotton fabric processing, asbestos substitutes, textile adjuncts to cardiovascular surgery, wet textile processes, hand evaluation, nanotechnology, thermoplastic composites, robotic ironing, protective clothing (agricultural and industrial), ecological aspects of fibre properties – to name but a few! There would appear to be no limit to the future potential for textile applications.

A rapid increase in global smartphone ownership and digital health technologies offers the potential for mobile phone applications (apps) to deliver mental health interventions. The purpose of this paper is to bring together evidence reporting on mental health mobile apps to gain an understanding of the quality of current evidence, the positive and adverse effects of apps and the mechanisms underlying such effects.

A systematic search was carried out across six databases, for any systematic reviews or meta-analyses conducted up to 2020. Review quality was assessed using the Assessment of Multiple Systematic Reviews.

Across a total of 24 articles, a variety of clinical outcomes were assessed. Most compelling support was shown for apps targeting anxiety symptoms; some evidence favoured the use of apps for depression symptoms. Less evidence was available for the remaining clinical symptoms such as bipolar disorder, schizophrenia, post-traumatic stress disorder, sleep disorders and substance use. Overall, there was limited evidence pertaining to adverse effects and change mechanisms and a lack of quality reporting across a large proportion of included reviews. The included reviews demonstrate the need for further robust research before apps are recommended clinically.

This paper makes a valuable contribution to the current status of research and reviews investigating mental health mobile apps. Recommendations are made for improved adherence to review guidelines and to ensure risk of bias is minimised.