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The reopening of schools during the SARS-CoV-2 pandemic is full of challenges for families, which are heightened for children and young people (CYP) who live with chronic illnesses. This paper aims to offer a framework to support the successful return of CYP with chronic illnesses to school using appropriate intersectoral strategies.

This paper draws on research data on the impact of school closure on CYP with chronic illness and emerging findings of global research about their lives during the pandemic. It is also informed by the perspectives of practitioners in the field, who are working with these CYP and their families.

A framework based on three different strategies for a successful return is established. A small but significant group of CYP living with conditions such as cancer will not yet return and will need ongoing home education provision. CYP with well-controlled symptoms of chronic illness will benefit from school routines and socialization with peers. CYP with poorly controlled illness will need close supervision and individual plans. All groups will benefit from better intersectoral working across education and health and from recent rapid developments in hybrid learning models and telemedicine.

This viewpoint highlights the need for a strategic approach to the return to school of CYP with chronic illness that goes well beyond classifying them as vulnerable students. This group of CYP is already at risk of lower educational attainment, so widening inequalities must be halted. This paper provides a framework for anchoring local intersectoral approaches adapted to the different situations of CYP.

During the 2020 COVID-19 pandemic, schools closed in haste and were expected to create virtual learning opportunities for their students while they waited to see when and how they might re-open. National governments issued reopening guidance at varying speeds. The purpose of this study was to invite health and education professionals to share what was happening in their country about school reopening in terms of the features and implications of the guidance issued.

A qualitative study. Initial interviews informed a semi-structured questionnaire distributed through the global community of UNESCO Chair ‘Global Health and Education’ and partner organisations. Its aim was to collect, analyse and share globally relevant knowledge and practices about school reopening.

There were 192 useable responses from 43 countries and territories and 1 multi-country region. 20 of these, mainly in the Global North, had received reopening guidance, 23 were still waiting and 1 had not closed its schools. Guidance prioritised public health measures like social distancing, with less emphasis on education impacts. Success came from partnerships between schools, families and local authorities, consistent guidance and enough time and resources for implementation. Fear of infection led to significant absenteeism among students and staff. Respondents waiting for guidance, mainly in the Global South, shared similar concerns and expectations.

Describing first-hand practices and perspectives of health and education professionals from diverse countries and territories about reopening schools.

Wales Applied Risk Research Network (WARRN) is a formulation-based technique for the assessment and management of serious risk (e.g. violence to others, suicide, etc.) for users of mental health services. It has been gradually adopted as the risk evaluation and safety-planning technique for all seven health boards in Wales. The purpose of this paper is to examine the opinions of WARRN as used within these health boards.

An online survey was disseminated to NHS clinicians in secondary mental health services to evaluate their perceptions of the use and effectiveness of WARRN. Data from 486 clinicians were analysed with both quantitative and qualitative methods.

Results indicated that the overall impact of WARRN on secondary mental health care was very positive, with clinicians reporting increased skills in the domains of clinical risk formulation, safety-planning and communication, as well as increased confidence in their skills and abilities in these areas. Clinicians also reported that the “common-language” created by having all NHS health boards in Wales using the same risk assessment process facilitated the communication of safety-planning. Crucially, NHS staff believed that the safety of service users and of the general public had increased due to the adoption of WARRN in their health board and many believed that lives had been saved as a result.

WARRN is perceived to have improved clinical skills in risk assessment and safety-planning across Wales and saved lives.

Wales Applied Risk Research Network (WARRN) is a formulation-based technique for the assessment and management of serious risk (e.g. violence to others, suicide, etc.) for users of mental health services which has been adopted across most Child and Adolescent Mental Health Services (CAMHS) across Wales. The paper aims to discuss this issue.

An online survey was disseminated to National Health Service clinicians in CAMHS to evaluate their perceptions of the use and effectiveness of WARRN. Data from 88 clinicians were analysed with both quantitative and qualitative methods.

Clinicians reported increased clinical skills, increased confidence in their assessment and management of risk and in safety planning, the increased safety of service users and the general public, and a belief that WARRN had saved lives. The qualitative data showed that clinicians thought a common risk evaluation instrument across Wales and different agencies had created a common language and understanding that improved communication.

WARRN appears well accepted in CAMHS services with the view that it is having a very positive effect on service user well-being and safety and could be implemented in other services.

This is the first report of a formulation-based approach to the management of serious problem behaviours in CAMHS services.

The purpose of this paper is to first empirically illustrate the construction of accounting for sustainable development tool (Bebbington and Gray, 2001) and, second, to discuss the operationalization of accounting for sustainable development (Bebbington and Larrinaga, 2014).

This research is based on a unique intervention-research approach, the main author having worked part-time for four years on the development of the tool for a business organization in the organic food sector.

This paper proposes an operationalization of sustainable development within an accounting tool and presents the results of the calculations. It also touches briefly upon the organization’s decision not to adopt the tool. The research concludes on the difficulty of operationalizing the economic, social and environmental capitals while proposing results that demonstrate “unsustainability”.

This research in operationalizing sustainable development paves the way for future potential use of the tool described, and future developments to address the model’s current shortcomings, notably in interconnecting social and economic capitals with natural capital.

The non-adoption of the accounting tool raises questions about the acceptability among practitioners of visualizing the unsustainability of their own organization, in particular within “green” and “socially responsible” businesses. Moreover, it raises the question of growth and decoupling of the organization’s impact from its economic growth.

This paper makes three contributions to the current literature. First, it furthers the discussion on how to operationalize accounting for sustainable development, notably by trying to implement capital as a liability (a debt), placing its “maintenance” at the very heart of the design. Second, it offers an initial operationalization of “system thinking” within a tool to account for sustainable development. Finally, it contributes to the literature on “engagement research” through a four-year intervention-research project.

This paper aims to present a new methodology to optimize the support generation within the fused deposition modeling process.

Different methods of support generation exist, but they are limited with regards to complex parts. This paper proposes a method dedicated to support generation, integrated into CAD software. The objective is to minimize the volume of support and its impact on a part’s surface finish. Two case studies illustrate the methodology. The support generation is based on an octree’s discretization of the part.

The method represents a first solid step in the support optimization for a reasonable calculation time. It has the advantage of being virtually automatic. The only tasks to be performed by the designer are to place the part to be studied with respect to the CAD reference and to give the ratio between the desired support volume and the maximum volume of support.

In the case studies, a low gain in manufacturing time was observed. This is explained by the honeycomb structure of the support generated by a common slicing software, whereas the proposed method uses a “full” structure. It would be interesting to study the feasibility of an optimized support, with a honeycomb structure but with a preservation of the surface which is in contact with the part.

This solution best fits the needs of the designer and manufacturer already taking advantage of existing solutions. It is adaptable to any part if the withdrawal of support is taken into account. It also allows the designer to validate the generation of support throughout the CAD without breaking the digital chain.

This study using a prison sample to explore Social Dominance Orientation (SDO), socially dominant inmate behaviour, index offence, age and length of time served in secure environments. A sample of 397 adult male prisoners completed the Direct and Indirect Prisoner Behaviour Checklist‐ Scaled (prisoner behaviour towards other inmates and staff) and the Social Dominance Orientation (SDO) Scale. It was predicted that prisoners would report higher SDO than non‐incarcerated populations and that among inmates those with approach orientated index offences would be higher in SDO than those whose offenses were more remote. It was also predicted that SDO would be related to younger age, higher lifetime rates of incarceration, more negative behaviour towards other inmates and staff, and more resource focused behaviour. The results broadly supported predictions, and possible implications for practice and directions for future research are discussed.

The purpose of this mixed methods rapid study was to identify the barriers and facilitators to implement relational and environmental risk management approaches to manage suicidality in inpatient services.

To achieve this within a short timeframe, a rapid review approach was chosen. Both research (qualitative and quantitative studies) and non-research material (policies, guidance and reports) were retrieved. The review was conducted across five databases: MEDLINE, EMBASE, EMCARE, PsycINFO and CINAHL for English language citations within the last ten years (2009 –2019).

A total of 17 primary research papers and a further 73 reviews and grey literature were included. There was evidence that the removal of anti-ligature equipment, by which regular checks of the environment to identify and remove ligature points and increased levels of observation are carried out well, reduces suicide in hospital.

There is a gap in research investigating “engagement activities” eliciting exactly what they are and determining how they might be effective. There is a need for new innovative ways for managing risk of suicide in hospitals that bring together meaningful engagement and maintaining safety.

Keeping people safe during an inpatient stay in a mental health service is a core function of mental health practitioners. This paper brings together what is already known about risk management and highlights areas for further investigation.

There are very few individuals who have studied the question of weights and measures who do not most strongly favour the decimal system. The disadvantages of the weights and measures at present in use in the United Kingdom are indeed manifold. At the very commencement of life the schoolboy is expected to commit to memory the conglomerate mass of facts and figures which he usually refers to as “Tables,” and in this way the greater part of twelve months is absorbed. And when he has so learned them, what is the result? Immediately he leaves school he forgets the whole of them, unless he happens to enter a business‐house in which some of them are still in use; and it ought to be plain that the case would be very different were all our weights and measures divided or multiplied decimally. Instead of wasting twelve months, the pupil would almost be taught to understand the decimal system in two or three lessons, and so simple is the explanation that he would never be likely to forget it. There is perhaps no more interesting, ingenious and useful example of the decimal system than that in use in France. There the standard of length is the metre, the standard of capacity the cubic decimetre or the litre, while one cubic centimetre of distilled water weighs exactly one gramme, the standard of weight. Thus the measures of length, capacity and weight are most closely and usefully related. In the present English system there is absolutely no relationship between these weights and measures. Frequently a weight or measure bearing the same name has a different value for different bodies. Take, for instance, the stone; for dead meat its value is 8 pounds, for live meat 14 pounds; and other instances will occur to anyone who happens to remember his “Tables.” How much simpler for the business man to reckon in multiples of ten for everything than in the present confusing jumble. Mental arithmetic in matters of buying and selling would become much easier, undoubtedly more accurate, and the possibility of petty fraud be far more remote, because even the most dense could rapidly calculate by using the decimal system.

The purpose of this paper is to establish a two-stage grey cloud clustering model to assess the drought risk level of 18 prefecture-level cities in Henan Province.

The clustering process is divided into two stages. In the first stage, grey cloud clustering coefficient vectors are obtained by grey cloud clustering. In the second stage, with the help of the weight kernel clustering function, the general representation of the weight vector group of kernel clustering is given. And a new coefficient vector of kernel clustering that integrates the support factors of the adjacent components was obtained in this stage. The entropy resolution coefficient of grey cloud clustering coefficient vector is set as the demarcation line of the two stages, and a two-stage grey cloud clustering model, which combines grey and randomness, is proposed.

This paper demonstrates that 18 cities in Henan Province are divided into five categories, which are in accordance with five drought hazard levels. And the rationality and validity of this model is illustrated by comparing with other methods.

This paper provides a practical and effective new method for drought risk assessment and, then, provides theoretical support for the government and production departments to master drought information and formulate disaster prevention and mitigation measures.

The model in this paper not only solves the problem that the result and the rule of individual subjective judgment are always inconsistent owing to not fully considering the randomness of the possibility function, but also solves the problem that it’s difficult to ascertain the attribution of decision objects, when several components of grey clustering coefficient vector tend to be balanced. It provides a new idea for the development of the grey clustering model. The rationality and validity of the model are illustrated by taking 18 cities in Henan Province as examples.