Aspects of fluency across assessed levels of speaking proficiency

Recent research in second language acquisition suggests that a number of speed, breakdown, repair and composite measures reliably assess fluency and predict proficiency. However, there is little research evidence to indicate which measures best characterize fluency at each assessed level of proficiency, and which can consistently distinguish one level from the next. This study investigated fluency in 32 speakers’ performing four tasks of the British Council’s Aptis Speaking test, which were awarded four different levels of proficiency (CEFR A2-C1). Using PRAAT, the performances were analysed for various aspects of utterance fluency across different levels of proficiency. The results suggest that speed and composite measures consistently distinguish fluency from the lowest to upper-intermediate levels (A2-B2), and many breakdown measures differentiate between the lowest level (A2) and the rest of the proficiency groups, with a few differentiating between lower (A2, B1) and higher levels (B2, C1). The varied use of repair measures at different levels suggest that a more complex process is at play. The findings imply that a detailed micro-analysis of fluency offers a more reliable understanding of the construct and its relationship with assessment of proficiency

Risk management analysis for novel Coronavirus in Wuhan, China

Recently, a novel coronavirus pneumonia (2019–nCoV) outbreak occurred in Wuhan, China, rapidly spreading first to the whole country, and then globally, causing widespread concern. From the perspectives of early warning and identification of risk, risk monitoring, and analysis, as well as risk management and handling, we propose corresponding solutions and recommendations, which include institutional cooperation, and to inform national and international policy-makers

A comparison of holistic, analytic, and part marking models in speaking assessment

This mixed methods study examined holistic, analytic, and part marking models (MMs) in terms of their measurement properties and impact on candidate CEFR classifications in a semi-direct online speaking test. Speaking performances of 240 candidates were first marked holistically and by part (phase 1). On the basis of phase 1 findings – which suggested stronger measurement properties for the part MM – phase 2 focused on a comparison of part and analytic MMs. Speaking performances of 400 candidates were rated analytically and by part during that phase. Raters provided open comments on their marking experiences. Results suggested a significant impact of MM; approximately 30% and 50% of candidates in phases 1 and 2 respectively were awarded different (adjacent) CEFR levels depending on the choice of MM used to assign scores. There was a trend of higher CEFR levels with the holistic MM and lower CEFR levels with the part MM. While strong correlations were found between all pairings of MMs, further analyses revealed important differences. The part MM was shown to display superior measurement qualities particularly in allowing raters to make finer distinctions between different speaking ability levels. These findings have implications for the scoring validity of speaking tests

Applying blockchain technology to improve agri-food traceability: A review of development methods, benefits and challenges

Traceability plays a vital role in food quality and safety management. Traditional Internet of Things (IoT) traceability systems provide the feasible solutions for the quality monitoring and traceability of food supply chains. However, most of the IoT solutions rely on the centralized server-client paradigm that makes it difficult for consumers to acquire all transaction information and to track the origins of products. Blockchain is a cutting-edge technology that has great potential for improving traceability performance by providing security and full transparency. However, the benefits, challenges and development methods of blockchain-based food traceability systems are not yet fully explored in the current literature. Therefore, the main aim of this paper is to review the blockchain technology characteristics and functionalities, identify blockchain-based solutions for addressing food traceability concerns, highlight the benefits and challenges of blockchain-based traceability systems implementation, and help researchers and practitioners to apply blockchain technology based food traceability systems by proposing an architecture design framework and suitability application analysis flowchart of blockchain based food traceability systems. The results of this study contribute to better understanding and knowledge on how to improve the food traceability by developing and implementing blockchain-based traceability systems. The paper provides valuable information for researchers and practitioners on the use of blockchain-based food traceability management and has a positive effect on the improvement of food sustainability

Laughter and dying: Stella Benson's Hope against hope and other stories, and Tobit transplanted

The novels and short stories of Stella Benson (1982-1933) cover a wide range of issues including suffrage, the morality of war and the rights of women through a mixture of realism, fantasy and satire.  Drawing on a range of twentieth and twenty first century theoretical approaches relating to humour and satire this essay considers Benson’s use of humour and satire in her collection of short stories Hope Against Hope and Other Stories (1931) and Tobit Transplanted (1931). Throughout both texts, Benson explores human frailties, inviting the reader to view her characters with an ironic detachment.  This essay argues that this use of comedy highlights the tension between humour and subject matter, and provides an insight into both her life and 1930s society

Identifying wellbeing challenges and solutions in the police service using the World Café method

Police work presents risks to mental and physical health for officers and civilian staff. We report a project that involved police employees in identifying wellbeing challenges and potential solutions. We facilitated ‘World Café’ events in which approximately 180 officers and civilian staff participated. Qualitative data were collected and thematically analysed drawing upon the Job Demands-Resources model. We identified themes relating to workload, management practices, occupational health processes, and continuing mental health stigma. Our analyses suggest an environment in which resources are insufficient to meet demands. The resulting pressures may contribute to management behaviours that can impair subordinate wellbeing

Assessment or referral tool: the unintended consequences of a dual purpose common assessment framework form

The Common Assessment Framework (CAF) was designed to facilitate early intervention through multi-agency working and the active involvement of families. The underlying principle was to move away from a risk-focused, needs-led or service-led culture to assess need and match needs to identified services. It was anticipated that services and assessments would become more evidence-based, and a common language between professionals and agencies would evolve. Taking a social constructionist approach this study explored professionals’ experiences of the use of the Common Assessment Framework form. Forty-one professionals from four different local authorities and a variety of agencies took part in semi-structured interviews. Data were analyzed utilizing thematic analysis. Findings suggest the unintended consequences of the use of the CAF were influenced by local authority policy. As the local authorities adopted the policy of utilizing the CAF as a referral mechanism, rather than to assess needs, profes-sionals unintentionally perceived the CAF form as a referral tool, to refer families to existing service provision. Further to this, professionals referred to the CAF form itself, as a ‘means to an end’, implying that this was a step that had to be overcome in order to access services

Risk Prediction and Assessment: Duration, Infections, and Death Toll of the COVID-19 and Its Impact on China’s Economy

This study first analyzes the national and global infection status of the Coronavirus Disease that emerged in 2019 (COVID-19). It then uses the trend comparison method to predict the inflection point and Key Point of the COVID-19 virus by comparison with the severe acute respiratory syndrome (SARS) graphs, followed by using the Autoregressive Integrated Moving Average model, Autoregressive Moving Average model, Seasonal Autoregressive Integrated Moving-Average with Exogenous Regressors, and Holt Winter’s Exponential Smoothing to predict infections, deaths, and GDP in China. Finally, it discusses and assesses the impact of these results. This study argues that even if the risks and impacts of the epidemic are significant, China’s economy will continue to maintain steady development

The effectiveness of sedentary behaviour reduction workplace interventions on cardiometabolic risk markers: A systematic review

Background Sedentary behaviour is a risk factor for type 2 diabetes and cardiovascular disease. Objectives The aims of this work were to systematically review the effects of workplace sedentary behaviour reduction interventions on cardiometabolic risk markers (primary aim) and identify the active behaviour change techniques (BCTs) by which these interventions work (secondary aim). Methods A systematic search of 11 databases for articles published up to 12 April 2019 yielded a total of 4255 unique titles, with 29 articles being identified for inclusion. Interventions were rated as very promising, quite promising or non-promising based on their effects on cardiometabolic risk markers compared with baseline and/or a comparison arm. Interventions were coded for BCTs used. To assess the relative effectiveness of BCTs, a promise ratio was calculated as the frequency of a BCT appearing in all promising interventions divided by its frequency of appearance in all non-promising interventions. Results A narrative synthesis included 29 published studies of varying study design and comprised of 30 interventions. Risk of bias was high for blinding and allocation concealment, moderate for random sequence generation, and low for outcome assessment. Nine interventions were very promising, 11 were quite promising, 10 were non-promising, and 10 active control groups did not experience cardiometabolic changes. Significant sedentary behaviour reductions were present in all but five studies where cardiometabolic risk markers improved. The BCTs of social comparison, problem solving, demonstration of the behaviour, goal setting (behaviour), behaviour substitution, and habit reversal, demonstrated moderate to high promise ratios. Conclusions Workplace interventions show promise for improving cardiometabolic risk markers. The BCTs with the greatest promise of cardiometabolic risk marker improvements included social comparison, those related to individual habits, and behaviour goals

Could I do something like that? recruiting and training foster carers for teenagers “at risk” of or experiencing child sexual exploitation

Child sexual exploitation (CSE) is a category of child abuse that was historically created to recognize the victimhood of children and young people, illuminating the ways that their evolving capacity to consent to sex is manipulated and undermined. Using evidence from the evaluation of specialist foster care provision and a CSE training course for foster carers, this paper considers how training might be used to widen the pool of potential foster carers for children affected by CSE and identifies qualities displayed by effective carers. It argues that improving the recruitment of foster carers can create safer home environments for teenagers at risk of or experiencing sexual exploitation and reduce the risk of further harm and that informed and effective foster care provision is crucial to prevent both the sexual exploitation of looked‐after teenagers and placement breakdowns that can ultimately increase risk