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A computer system for made‐to‐measure pattern production should have the capability of determining default measurements for sets of customer measurements input to the system where one or more of these measurements are missing. This paper recommends the use of default formulae rather than mathematical interpolation of size charts. These default formulae, when applied to a given size chart set, enable measurements to be determined efficiently over wide ranging customer sizes in both stature and girth. The specific default formulae for the German DOB charts are derived for Regular and Outsize charts and also for the full range of Height categories and Bust to Hip relationships, so that all sizes and shapes of customers are catered for. Default formulae have been applied in the MicroFit made‐to‐measure system from Garment Micro Systems and also implemented on this system for checking the validity of measurements entered into the system for each individual customer.

The purpose of this paper is to determine which factors are associated with 6,065 patient presentations with non-life-threatening urgent conditions (NLTUCs) to an after-hours general practice, an urgent care clinic (UCC) and an emergency department (ED) on Sundays in Southeast Queensland (Qld).

A retrospective, comparative and observational study was conducted involving the auditing of medical records of patients with NLTUCs consulting three medical services between 0,800 and 1,700 h, on Sundays, over a one-year period. The study was limited to 6,065 patients.

There were statistically significant differences in choice of location according to age, number of postcodes from the patient's residence, time of the day, season, patient presentations for infection and injury, non-infectious, non-injurious conditions of the circulatory, gastrointestinal and genitourinary systems, and need for imaging, pathology, plastering/back-slab application, splinting and wound closure. Older adults were more likely to be admitted to the hospital and Ed Short Stay Unit, compared with other age groups.

Based on international models of UCC healthcare systems in United Kingdom (UK), USA and New Zealand (NZ) and the results of this study, it is recommended that UCCs in Australia have extended hours, walk-in availability, access to on-site radiology, ability to treat fractures and wounds and staffing by medical practitioners able to manage these conditions. Recommendations also include setting a national standard for UCC operation (National Urgent Care Centre Accreditation, 2018; NHS, 2020; RNZCUC, 2015) and requirements for vocational registration for medical practitioners (National Urgent Care Centre Accreditation, 2018; RNZCUC, 2015; The Royal College of Surgeons of Edinburgh, 2021a, b).

This study has highlighted three key areas for future research: first, research involving general practitioners (GPs), emergency physicians, urgent care physicians, nurse practitioners, urgent care pharmacists and paramedics could help to predict the type of patients more accurately, patient presentations and associated comorbidities that might be encouraged to attend or be diverted to Urgent Care Clinics. Second, larger studies of more facilities and more patients could improve the accuracy and generalisability of the findings. Lastly, studies of public health messaging need to be undertaken to determine how best to encourage patients with NLTUCs (especially infections and injuries) to present to UCCs.

The Urgent Care Clinic model has existed in developed countries since 1973. The adoption of this model in Australia close to a patient's home, open extended hours and with onsite radiology could provide a community option, to ED, for NLTUCs (especially patient presentations with infections and injuries).

This study reviewed three types of medical facilities for the management of NLTUCs. They were an after-hours general practice, an urgent care clinic and an emergency department. This study found that the patient choice of destination depends on the ability of the service to manage their NLTUCs, patient age, type of condition, postcodes lived away from the facility, availability of testing and provision of consumables. This study also provides recommendations for the development of an urgent care healthcare system in Australia based on international models and includes requirements for extended hours, walk-in availability, radiology on-site, national standard and national requirements for vocational registration for medical professionals.

A method is presented by means of which the lift coefficient of an arbitrary aerofoil in a two‐dimensional cascade is obtained explicitly in terms of a number of cascade functions, whose values depend only on the cascade geometry. The method is based on Schlichting's theory, whereby the profile is substituted by a continuous row of singularities arranged along the blade chord, and it consists in a simplification of the usual procedure of satisfying the boundary conditions. The simplified method greatly reduces the amount of work involved, and an analysis of a number of representative aerofoils indicated a good agreement with the values obtained by the more exact procedure. The values of the special cascade functions required for the application of the method are tabulated over a wide range of stagger angles and pitch/chord ratios.

The World Health Organisation estimates that 92 per cent of the world’s population does not have access to clean air. The World Bank in 2013 estimated that only air pollution (AP) was responsible for a $225bn cost in lost productivity. The purpose of this paper is to contribute to the current scholarly debate on the value of Big Data for effective healthcare management. Its focus on cardiovascular disease (CVD) in developing countries, a major cause of disability and premature death and a subject of increasing research in recent years, makes this research particularly valuable.

In order to assess the effects of AP on CVD in developing countries, the city of Bangalore was selected as a case study. Bangalore is one of the fastest growing economies in India, representative of the rapidly growing cities in the developing world. Demographic, AP and CVD data sets covering more than 1m historic records were obtained from governmental organisations. The spatial analysis of such data sets allowed visualisation of the correlation between the demographics of the city, the levels of pollution and deaths caused by CVDs, thus informing decision making in several sectors and at different levels.

Although there is increasing concern in councils and other responsible governmental agencies, resources required to monitor and address the challenges of pollution are limited due to the high costs involved. This research shows that with developments in the domains of Big Data, Internet of Things and smart cities, opportunities to monitor pollution result in high volumes of data. Existing technologies for data analytics can empower decision makers and even the public with knowledge on pollution. This paper has demonstrated a methodological approach for the collection and visual representation of Big Data sets allowing for an understanding of the spread of CVDs across the city of Bangalore, enabling different stakeholders to query the data sets and reveal specific statistics of key hotspots where action is required.

This research has been conducted to demonstrate the value of Big Data in generating a strategic knowledge-driven decision-support system to provide focused and targeted interventions for environmental health management. This case study research is based on the use of a geographic information system for the visualisation of a Big Data set collected from Bangalore, a region in India seriously affected by pollution.

Pictures speak louder than words, they say, and certainly it is easier to look at one graph than pages of figures. Now that costs are coming down more and more people are using graphics. Here, through the eyes of one of the leading suppliers of graphics equipment, we look at the equipment available and what you can do with it, and follow up with details of some of the products on the market from a variety of sources.

The purpose of this paper is to implement a passive compliance training strategy for our newly designed 2-UPS/RRR parallel ankle rehabilitation robot (PARR) to enhance its rehabilitation training safety.

First, a kinematic analysis of the PARR is introduced, and the mechanism ensures that the rotation centre of the ankle joint complex (AJC) coincides with robot’s rotation centre. Then, a passive compliance training strategy based on admittance control is described in detail and is implemented on our PARR.

Experiments involving healthy subjects were conducted, and the performance of trajectory tracking was quantitatively evaluated, with the results showing excellent compliance and trajectory tracking accuracy, which can ensure that a secondary injury to the AJC during passive rehabilitation training is avoided. The influence of different admittance parameters was also simulated and analysed, which can contribute to the development of adaptive parameter adjustment research.

The paper can be used to improve the effectiveness of ankle rehabilitation, to alleviate manual therapy problems in terms of labour intensiveness, precision and subjectivity and to ensure safety and comfort during rehabilitation sessions.

Migrants historically and currently form an integral part of South Africa. Their importance and contribution to the country’s economy and development are undeniable. Yet, life for African migrants in South Africa is becoming increasingly difficult. An analysis of migrants mortality until now has not been conducted. The purpose of this paper is to compare the trends of the cause of death among South African Citizens (RSA) and African migrants from countries that form part of the South African Development Community (SADC), that make up nearly 70% of the migrants in the country.

Using Stats SA data of all registered deaths in South Africa (2002-2015), this paper compares all causes of death (COD) between RSA and SADC migrants. This paper studies the patterns in COD among these population groups for the years 2002 to 2015 in deaths due to infectious diseases and unnatural causes. Logistic regression was used to quantify the odds of dying due to infectious disease and unnatural causes for each population group. This paper included a calculation of the odds of dying due to assault, as a sub-group within unnatural deaths.

A total of 7,611,129 deaths were recorded for the local South African population and 88,114 for SADC migrants for the period under study (2002–2015). The burden of mortality for both infectious diseases and unnatural causes was higher for SADC migrants as compared to RSA. SADC migrants were 1.22 times more likely to die from infectious diseases than RSA (P < 0.001, 95% confidence interval (CI) (1.12, 1.23). Similarly, SADC migrants were 2.7 times more likely to die from unnatural causes than South Africans (P < 0.001, 95% CI (2.17, 2.23). The odds of dying from assault was the same as that of unnatural causes. Also, it was found that women were more likely to die from infectious diseases (OR = 1.11, P < 0.001, 95% CI (1.11, 1.11) compared to men, regardless of nationality.

The bias resulting from migrants who return home to die due to illness, described in the literature as the salmon bias, is present in this paper. This paper, therefore, concludes death due to infectious diseases could be higher among migrants.

The heightened mortality among SADC migrants can be related to the impact of social determinants of health such as living and working conditions and barriers to access to health care. Moreover, the higher probability of death due to unnatural causes such as assaults constitute a proxy to estimate the impact of xenophobic violence observed in the country over the past decade. Policy interventions should focus on migrant health-care systems. Also, programmes to mitigate and curb xenophobic sentiments should be carried out to address the growing disparity of preventable unnatural causes of death.

This study offers the first quantification of mortality due to infectious diseases and unnatural causes among RSA and SADC migrants.