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Peripheral arterial disease (PAD) is an occlusive atherosclerotic disease that affects blood vessels and reduces blood flow in the lower limbs. It is estimated that around 200 million people worldwide suffered from it, with a significant number of older people affected. Walking is one of the first-line therapeutic measures for intermittent claudication (IC) in patients with PAD. Supervised Exercise Therapy (SET) programs effectively increase walking distances, however, remain an underutilized tool because they are not readily available in most clinical centres, are extremely expensive, and patient participation is low mainly due to socioeconomic constraints. Home-based Exercise Therapy (HBET) programs are an effective and low-cost alternative to improve both the functional capacity and quality of life (QoL) of patients with IC, as they are performed in the patient’s area of residence and not in the hospital. The WalkingPad program conciliated a smartphone app – the WalkingPad app – with behaviour change intervention to increase walking distances and decrease walking impairment as well to improve QoL at 6 months.

The purpose of this paper is to make a case for the political use of methods to shape posthumanist futures that are for animals. It makes this case by drawing on findings from qualitative research on the lived experience of navigating human–pet relationships.

The argument in this paper draws on qualitative data from interviews and observations with human participants and “their” companion animals to demonstrate that centring animals in research highlights new data and encourages participants to challenge anthropocentric narratives of pet relationships.

The findings of this project indicate that using animal-inclusive research methods is effective in centring non-human animals in discussions and providing new insights into human–animal relations that can inform and move towards critical posthumanist futures.

If the central argument that methods play an important role in shaping social worlds is accepted then human–animal studies scholars may need to think more carefully about how they design, conduct and frame research with non-human animals.

If the argument for centring companion animals in research is taken seriously, then those working with humans and companion animals in the community might significantly alter their methods to more meaningfully engage with non-human animals' experiences.

Current research has concerned itself with the challenge of how to understand animals' experiences through research. There has been little consideration of how multi-species research reflects and shapes social worlds and how methods might be considered a fruitful site of transforming relations and pursuing posthumanist futures.

The purpose of this chapter is to review and synthesise the available evidence for the health benefits of walking. It follows a non-systematic evidence review and finds that the evidence base for the health benefits of walking is growing. Increasingly we are finding strong evidence for the beneficial effects of walking for both individuals and populations. More evidence is required on how to better understand the health outcomes associated with walking and how to promote long term increases in walking behaviour. Systematic reviews of specific health benefits remain rare. Walking should be promoted in all population groups regardless of age or sex. There are currently few existing integrative syntheses of the physical and mental health outcomes associated with walking and this chapter aims to help fill that gap.

The pharmaceutical industry is characterized by high R&D costs and increasing competition. New pharmaceutical products are often provided patent protection to help companies recoup their R&D costs. The end of this period of market exclusivity is a challenging period for these companies. Marketers need to develop creative product, promotional, and pricing strategies for those products nearing patent expiration. First, provides an overview to the history of drug patents. Second, discusses with recommendations the strategies commonly adopted by companies with products facing patent expiration.

Objective. To evaluate a health and fitness programme conducted within a New South Wales, Australia correctional facility for male inmates with a chronic illness. Design. A randomised control trial. Sample. Twenty male inmate participants with a chronic illness, two risk factors for developing a chronic illness or who were over the age of 40 years. Measurements. Pre and post programme health assessments that included resting blood pressure and heart rate, weight, body mass index, waist girth, peak flow measures, peripheral saturation of oxygen, blood glucose levels and 6 minute walk test. Intervention. A 12‐week structured exercise programme focusing on cardio respiratory endurance, strength and flexibility training. Results. Statistically significant improvements in resting heart rate and endurance were found. Conclusions. The health and fitness programme positively impacts on the health of inmates with a chronic illness. A further study with a larger sample size would be productive.

The General Society Survey(GSS) is a kind of government-funded survey which aims at examining the Socio-economic status, quality of life, and structure of contemporary society. GSS data set is regarded as one of the authoritative source for the government and organization practitioners to make data-driven policies. The previous analytic approaches for GSS data set are designed by combining expert knowledges and simple statistics. By utilizing the emerging data mining algorithms, we proposed a comprehensive data management and data mining approach for GSS data sets.

The approach are designed to be operated in a two-phase manner: a data management phase which can improve the quality of GSS data by performing attribute pre-processing and filter-based attribute selection; a data mining phase which can extract hidden knowledge from the data set by performing data mining analysis including prediction analysis, classification analysis, association analysis and clustering analysis.

According to experimental evaluation results, the paper have the following findings: Performing attribute selection on GSS data set can increase the performance of both classification analysis and clustering analysis; all the data mining analysis can effectively extract hidden knowledge from the GSS data set; the knowledge generated by different data mining analysis can somehow cross-validate each other.

By leveraging the power of data mining techniques, the proposed approach can explore knowledge in a fine-grained manner with minimum human interference. Experiments on Chinese General Social Survey data set are conducted at the end to evaluate the performance of our approach.

General practitioner prescribing is a subject of legitimate interest to all those concerned with the quality of patient care. The analysis of prescribing and cost data can reveal much about this quality. Suggests that both general practitioners and those who administer and advise on family practitioner services will need to understand the issues involved. Warns that, taken in isolation, prescribing data can be misleading, and it must be compared with other aspects of patient care. Simple calculations can suggest areas of possible under‐prescribing and over‐prescribing, and in turn lead to consideration of the criteria for diagnosis of common chronic diseases such as asthma and diabetes, as well as their subsequent management. Suggests that the prescribing of both new drugs and those of dubious merit is a subject for particular scrutiny, and those who prescribe these drugs must accept the duty of extra vigilance this imposes on them.