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The focus of this paper is to consider the findings of a survey, which aims to identify the types of training that acute mental health staff could access, in relation to workforce development and substance misuse issues in acute mental health care.

An electronic survey was developed and distributed using work email lists to all clinicians who worked in acute mental health services across a region in England. Not all NHS organisations agreed to participate.

A total of 89 clinicians responded to the survey, some failed to indicate their consent, therefore the results of the 77 that did are presented. The main finding was that most acute care staff had only accessed mandatory training such as risk assessment. Many staff had not been trained in the use of psychosocial approaches. Drug and alcohol specific activities were performed on the whole only “sometimes”.

It was not possible to determine the total number of potentially eligible staff who were sent the survey, therefore, response rates cannot be calculated. It is possible that the findings may not be generalisable to other services. There may be bias in those who choose to respond to an electronic email, in terms of those who had access to a computer or who were more IT literate. In addition, the survey did not specifically set out to examine substance misuse issues as its main focus.

Acute care staff work with service users with increasingly complex needs. Creative and cost effective ways of facilitating access to training and support must be found as a priority to ensure that staff have the competencies to identify and manage substance users effectively in acute mental health settings.

The findings reinforce previous studies highlighting the deficit in access to psychosocial interventions training for acute care staff.

This study aims to examine how governing bodies demonstrated stakeholder engagement during the time of the COVID-19 crisis in South Africa.

This study uses a qualitative approach based on semi-structured interviews with 18 participants, comprising of preparers of financial statements, board members and management consultants/advisors. The study also relied on the analysis of articles on corporate webpages and publications produced by professional bodies on the economic, social and environmental impact of COVID-19.

The results of this study indicated that governing bodies demonstrated stakeholder engagement during times of crisis through transparent reporting, corporate social responsibility initiatives and active stakeholder inclusivity.

This study contributes to the body of research on stakeholder engagement during a crisis and provides evidence of the role stakeholder inclusivity can play in responding to a crisis. The findings will be useful in understanding the importance of stakeholder engagement during times of crisis. The study is one of the first, to the best of the authors’ knowledge, to evaluate how stakeholder engagement principles can be followed by governing bodies during a crisis.

This paper explores the use of the mental fitness and resiliency inventory (MFRI) as a tool for the management of workplace health and well-being. The MFRI provides information on the extent to which positive workplace practices are experienced within three mental fitness domains and five resiliency domains. The purpose of this study was to investigate the factorial structure and internal consistency of the MFRI.

The MFRI was administered to 1,519 employees in multiple workplace environments in Canada. The factorial structure of the MFRI was examined to conduct confirmatory factor analysis (CFA). In addition to the CFA indexes, the internal consistency of each latent construct was calculated, with results reported using Cronbach's coefficient alpha.

The reliability of the MFRI is very high (alpha = 0.973). The fit indexes from the CFA indicate that the model is permissible. The MFRI can be used with confidence to highlight mental fitness and resiliency strengths, as well as areas needing further development in workplace environments.

Limitations may include the selection of fit indexes upon which to base judgment as to whether the model is satisfactory. Although the MFRI model has been confirmed based on the data from the study sample, there is not yet sufficient data to conclude that the model is a true predictive model. Current and ongoing research will enable elaboration on this matter. In addition, formal documented observations regarding the MFRI's face validity and ease of explanation and understanding of the results may confirm a priori expectations on the part of the users and may strengthen the conclusions from this study.

Implications for workplaces arising from the validation of the MFRI include a growth in capacity to measure the existence of positive psychology practices within organizational environments and to identify and address areas for needed growth and development. By assessing the prevalence of mental fitness and resiliency practices in workplace environments, reports can be produced that indicate various levels of development and integration of these practices. The application of the MFRI facilitates the use of evidence-informed decision-making in addressing organizational goals related to positive workplace cultures.

The MFRI is a new, validated instrument that measures the presence of positive practices that contribute to healthy and effective workplace cultures. The results of the MFRI provide workplace health managers with a profile of organizational strengths (practices that are embedded and comprehensive) and areas for development (practices requiring promotion and capacity building) related to mental fitness and resiliency.

The problem of robotic co-manipulation is often addressed using impedance control based methods where the authors seek to establish a mathematical relation between the velocity of the human-robot interaction point and the force applied by the human operator (HO) at this point. This paper aims to address the problem of co-manipulation for handling tasks seen as a constrained optimal control problem.

The proposed point of view relies on the implementation of a specific online trajectory generator (OTG) associated with a kinematic feedback loop. This OTG is designed so as to translate the HO intentions to ideal trajectories that the robot must follow. It works as an automaton with two states of motion whose transitions are controlled by comparing the magnitude of the force to an adjustable threshold, in order to enable the operator to keep authority over the robot's states of motion.

To ensure the smoothness of the interaction, the authors propose to generate a velocity profile collinear to the force applied at the interaction point. The feedback control loop is then used to satisfy the requirements of stability and of trajectory tracking to guarantee assistance and operator security. The overall strategy is applied to the penducobot problem.

The approach stands out for the nature of the problem to be tackled (heavy load handling tasks) and for its vision on the co-manipulation. It is based on the implementation of two main ingredients. The first one lies in the online generation of an appropriate trajectory of the interaction point located at the end-effector and describing the HO intention. The other consists in the design of a control structure allowing a good tracking of the generated trajectory.

The purpose of this paper is to apply the quantum “eigenlogic” formulation to behavioural analysis. Agents, represented by Braitenberg vehicles, are investigated in the context of the quantum robot paradigm. The agents are processed through quantum logical gates with fuzzy and multivalued inputs; this permits to enlarge the behavioural possibilities and the associated decisions for these simple vehicles.

In eigenlogic, the eigenvalues of the observables are the truth values and the associated eigenvectors are the logical interpretations of the propositional system. Logical observables belong to families of commuting observables for binary logic and many-valued logic. By extension, a fuzzy logic interpretation is proposed by using vectors outside the eigensystem of the logical connective observables. The fuzzy membership function is calculated by the quantum mean value (Born rule) of the logical projection operators and is associated to a quantum probability. The methodology of this paper is based on quantum measurement theory.

Fuzziness arises naturally when considering systems described by state vectors not in the considered logical eigensystem. These states correspond to incompatible and complementary systems outside the realm of classical logic. Considering these states allows the detection of new Braitenberg vehicle behaviours related to identified emotions; these are linked to quantum-like effects.

The method does not deal at this stage with first-order logic and is limited to different families of commuting logical observables. An extension to families of logical non-commuting operators associated to predicate quantifiers could profit of the “quantum advantage” due to effects such as superposition, parallelism, non-commutativity and entanglement. This direction of research has a variety of applications, including robotics.

The goal of this research is to show the multiplicity of behaviours obtained by using fuzzy logic along with quantum logical gates in the control of simple Braitenberg vehicle agents. By changing and combining different quantum control gates, one can tune small changes in the vehicle’s behaviour and hence get specific features around the main basic robot’s emotions.

New mathematical formulation for propositional logic based on linear algebra. This methodology demonstrates the potentiality of this formalism for behavioural agent models (quantum robots).