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Traditional computer‐based material requirements planning (MRP) systems are usually implemented on large, mini‐computer systems. The MRP module is frequently one, albeit a central one, of a complex of modules together referred to as MRP II or Manufacturing Resources Planning. These systems, although ideal for real‐life, day‐to‐day use, can present a problem when used for training purposes. The sheer number of facilities available and consequent complexity of use often means that a lengthy training period is required. Describes a PC‐based MRP simulation package which encompasses the main features of existing MRP packages available in industry. As such, the package is ideal for training purposes. It allows typical MRP activities to be performed and basic knowledge of the most important MRP features to be gained. Great emphasis has been placed on a user‐friendly interface. Describes the PC‐based training system, the first of a series which will eventually cover several MRP II modules.

Presents an overview of the field of genetic algorithms, pioneered in the field of natural adaptive systems and simulated in software. They are shown as representing a novel optimization strategy which is receiving much attention. In machine learning they are a component of classifier systems which are able to extract rules from data. The algorithms discussed are based on the principles of population genetics and biology.

The purpose of this paper is to elicit clinicians’ and workers’ knowledge, experiences and opinions of key issues pertaining to comorbidity service needs of people aged 12 years and over in a metropolitan region of South Australia.

As one component of a participatory action research project, this qualitative study used semi-structured interviews with mental health (MH) and alcohol and other drug (AOD) clinicians and workers (n=20).

The participants expressed concerns involving stigma towards their clients. They highlighted lack of adequate MH and AOD comorbidity service accessibility and models, regularly available clinical comorbidity workforce development, and practice supervision and skills training. These factors influenced participants’ and their colleagues’ capacity and ability to access and provide appropriate help for people needing integrated treatment and care of their co-existing comorbid conditions.

Findings highlight the need for coordinated and integrated, individualised holistic comorbidity services, including treatment and care best suited to Aboriginal people and refugees.

This study emphasises the importance of government and non-government MH and AOD services ensuring that comorbidity is responded to collaboratively and systemically. It also demonstrates the importance of professional development.

This paper aims to introduce a method based on the optimizer of the particle swarm optimization (PSO) algorithm to improve the efficiency of a Kriging surrogate model.

PSO was first used to identify the best group of trend functions and to optimize the correlation parameter thereafter.

The Kriging surrogate model was used to resolve the fuselage optimization of an unmanned helicopter.

The optimization results indicated that an appropriate PSO scheme can improve the efficiency of the Kriging surrogate model.

Both the STANDARD PSO and the original PSO algorithms were chosen to show the effect of PSO on a Kriging surrogate model.

There has been growing awareness underpinned with legislative recognition of the need to reduce the stigma attached to mental health. Education is seen as an integral factor for this endeavour. The purpose of this paper is to review existing literature to determine both positive and negative attitudinal changes of health-care-related undergraduate students towards mental illness after a training intervention within higher education.

A search of papers written in the English Language was conducted between 2004 and 2021, using CINAHL, Eric, Educational Research Complete, Medline, psychINFO and SocIndex. Search terms used were undergraduate, attitudes or perceptions, mental illness/mental ill health, education, stigma and students.

In total, 24 studies were critically reviewed, which included experimental, descriptive and exploratory designs. The appraisal of papers used recognised evaluation tools to review the methodological quality. Findings suggest that overall, anti-stigma education has a significant positive effect for student attitudinal change.

Mental health anti-stigma education is beneficial for changing attitudes, however, more bio-medically framed training is less powerful for initiating change. Learning from those with the lived experience appears to have a more sustainable impact as indicated in some of the studies. There is a need for more exploratory research to gain further knowledge on the critical educational mechanisms that may foster more long-term reframing of positive attitudes towards mental health.

Training providers need to consider the compelling evidence base surrounding anti-stigma pedagogy that supports the use of individuals with experience of mental ill health within the educational processes.

Mental health stigma has potential for profound negative impact on individuals and at a wider societal level. Education is central to enable learners to consider their attitudes to mental illness to reduce stigmatising attitudes. Students on health-care-related courses are influential in becoming catalysts for change.

This paper has critically reviewed the literature examining the attitudes of health-care-related undergraduate students following anti-stigma education, offering insights into some of positive and negative attitudinal changes and opinions of the event. In particular contributing to an understanding on the important components for eradicating the stigma surrounding mental health.

The purpose of this paper is to study weight changes during psychiatric hospitalization, so as to identify “obesogenic” features in a mixed (forensic and rehabilitation) inpatient service.

An observational study of psychiatric inpatients, gathering sociodemographic, clinical, weight, dietary and sleep information and an actigraphic assessment.

A total of 51 patients, aged 19-68, 40 males, participated at a median of 13 months after their admission. When studied, only 6 percent had a healthy weight, 20 percent were overweight and three quarters (74 percent) were obese. The mean Body Mass Index (BMI) was 35.3 (SD: 8.1). At admission, only three patients (8.3 percent) had healthy BMIs and over the course of their hospital stay, 47 percent gained further weight. A high proportion was physically inactive and half slept more than nine hours a day. Participants received high calorie diets and half (53 percent) smoked cigarettes.

Although antipsychotic medication is known to cause weight gain, this should not be seen in isolation when attempting to explain psychiatric inpatient obesity. An inpatient admission is an opportunity to provide a healthier eating environment, health education and assertively promote less sedentary behavior and healthier sleep habits.

Obesity adds to the burden of this already significantly disadvantaged group of patients.

The results confirm earlier research showing that forensic and rehabilitation psychiatric inpatients as a group are obese, gain weight while in hospital and often smoke. The authors add data demonstrating that they are often physically inactive, sleep excessively and consume an unhealthy diet despite the provision of health focused interventions as an integral part of their inpatient program.