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Limited evidence exists regarding a group of nurses' physical activity patterns and association with resilience. Less is known about the physical activity health paradox in nurses (the positive health effects of leisure time physical activity vs the negative health effects of occupational physical activity). This study aimed to explore the profiles of intensive care nurses' physical activity behaviours and associations with resilience, following a developed study-specific job demands–recovery framework.

A cross-sectional study was conducted with intensive care unit (ICU) nurses to explore their physical activity profiles and associations with resilience. The Connor-Davidson Resilience Scale 25 (CD-RISC 25) was used to assess resilience, and accelerometry was utilised to record participants' four-day activity (two workdays, two non-workdays). Hierarchical cluster analysis was employed to define groups of nurses by activity behaviours.

Participants (N = 93) were classified as low actives (n = 19), standers (n = 36), sitters (n = 31) and movers (n = 7). During two 12-h shifts, movers had the highest mean level of dynamic standing and the lowest mean level of sitting. During two non-workdays, movers had the highest mean level of walking as well as the lowest mean level of sitting and sleep time.

The uniqueness of this study was that it analysed ICU nurses' physical activity profiles and associations with resilience using identified clusters. However, the small number of participants limited this study's ability to determine significant relationships between resilience and the grouped physical activity profiles.

Reference department collections contain a wide variety of serials and serial‐like publications. These include (among others) indexing and abstracting services, directories, almanacs, books‐in‐prints ources, statistical works, trade and national bibliographies, union lists, biographical sources, government publications, and travel guides. Such publications are ideally updated via subscriptions or standing orders with vendors or publishers, and managed by sophisticated integrated systems with serials control features to facilitate claiming, check‐in, and other serials functions such as binding.

The Global dispersed corporate real estate operations and decision making processess of 26 international companies in six industry segments are compared. High standing CRE organisations, which are indicated by fewer levels between the CRE executive and CEO, frequent CRE meetings with senior management, a broad span of control for facility and real estate operations, and an executive committee for real estate matters, share common characteristics. High standing CRE organisations receive more strategic planning information, have more authority and power, and more formal policies and standards. Use of relationship management with business units also corresponds with better sharing of planning information. Some of the challenges faced today by firms carry large international real estate portfolios include: cultural issues, financing concerns, lack of local expertise/market knowledge, corruption in locales, and a lack of a standard/streamlined process.

The purpose of this study was to obtain some anthropometric dimensions of students in secondary schools necessary for the design of school furniture and use them to establish the models that best determine the relationships among the anthropometric dimensions and standing height.

A total of 480 students aged 10 to 18 years (n = 480, SD = ± 2.3 years) were randomly selected from eight public and eight private secondary schools in Ibadan, South West Nigeria. All the dimensions were subjected to curve estimation using Statistical Products and Services Solution 16.0 Statistical Package. The models with p < 0.005 and highest coefficient of determinations were selected as the best models to predict the relationships among the standing height and other variables.

The study proposes 11 models using standing height to estimate necessary anthropometric dimensions for the design of school furniture. The results of the study show that all anthropometric dimensions correlate more non-linearly with standing height than linearly.

The proposed models will have wide applications for the estimation of anthropometric data necessary for the design and construction of school furniture for use in secondary schools in South Western Nigeria.

The purpose of this paper is to describe whether workers in high positions and workers in low positions think differently about status and possible future career advancement opportunities.

The paper uses German panel data to examine the effects of relative standing on individual satisfaction with the job, the propensity to change jobs, and intentions to start-up an enterprise in the near future.

The relationship between relative wage positions and job satisfaction is inversely U-shaped. This is interpreted as evidence that low status translates into low utility while employees with high relative standing seem to be more concerned about the lack of future career prospects in paid employment. Workers who gather utility from status and career advancement opportunities simultaneously are more satisfied with their jobs. The paper also shows that lower satisfaction with the job translates into considerations to leave the job.

The described relationships explain individual determinants of voluntary quits and workforce fluctuations, which are of special interest in debates about possible shortages of skilled labor or tightening labor markets for skilled workers.

Individual comparisons with peers affect individual reasoning.

The paper aims to enhance the discussion about nonlinear effects in status considerations as well as future career advancement opportunities. The paper shows that workers in very high and very low positions value these important psychological traits differently.

Mergers and acquisitions (M&As) typically accelerate target top management team (TMT) executive departures. Market discipline and Relative Standing are two major and competing economic and sociological explanations for this phenomenon which lack a satisfactory theoretical integration. To fill this gap in the literature, we model the M&A market as a complex adaptive system composed of TMTs which rid themselves of executives via self-organized critical processes, generating M&A market-level properties that are emergent, or not easily explained with reference to the individual TMTs. The observation of an emergent power law distribution in target TMT executive retention rates for M&A activities in the United States supports our interpretation.

The purpose of this study was to understand factors that hinder success of at-risk students and whether blending advising models helps students who are on academic warning or probation. In this chapter, the researchers reflect on the development and implementation of an academic recovery program (ARP) that involved 332 at-risk students during a three-year period, beginning in the Fall of 2016. When conceptualized, the ARP centered on the issue of development of students on all levels – as individuals, as scholars, and as creators and consumers of knowledge.

The results show that 54% of ARP students exited the program with good standing and persisted at the university (graduated or enrolled at the end of the period of the study). Of the 46% that were not retained by the university, 32% left with good standing. Qualitative explorations indicated that students in the program experienced a variety of academic and external challenges that prevented students from reaching success. These challenges resulted in heightened levels of stress and anxiety about their college success.

United Nations’ World Population Ageing Report states that falls are one of the most common problems in the elderly around the world. Falls are a leading cause of morbidity and mortality among mature adults, and the second leading cause of accidental or unintentional injury/death after road traffic injuries. The rates are higher in hospitalized patients and nursing home residents. Major contributing reasons for falling are loss of footing or traction, balance problem in carpets and rugs, reduced muscle strength, poor vision, mobility/gait, cognitive impairment: in other words lack of balance. Balance can be improved by the practice of yoga which helps to balance both body and mind through a series of physical postures called asanas, breathing control and meditation. Elders, especially women, are often unable to practice yoga regularly, largely brought on by a feeling of discomfort at having to do so in full public view, preferring instead to have private sessions at home, and at leisure. A computer-assisted self-learning system can be developed to help such elders, though improper training and the postures associated with it may harm the body’s muscles and ligaments. To have a flawless system it is essential to classify asanas, and identify the one the practitioner is currently practicing, following which the system can offer the guidance necessary. The purpose of this paper is to propose a posture recognition system, especially of sitting and standing postures. Asanas are chiefly classified into two: sitting and standing postures. This study helps to decide the values of the parameters for classification, which involve the hip and joint angles.

To model human bodies, skeleton parts such as head, neck (which are responsible for head movements), arms, hands (to decide on hand postures), and legs and feet (for standing posture identification) have been modeled and stored as a vector. Each feature is defined as a set of movable joints. Every interaction among the skeleton joints defines an action. Human skeletal information may be represented as a hierarchy of joints, in a parent–child relationship. So that whenever there is a change in joint its corresponding parent joint may also be altered.

The findings have to do with analyzing the reasons for falls in the elderly and their need for yoga as a precautionary measure. As yoga is ideally suited to self-assisted learning, it is feasible to design a system that assists people who do not wish to practice yoga in public. However, asanas are to be classified prior to doing so. In this paper, the authors have designed a posture identification framework comprising the sitting and standing postures that are fundamental to all yoga asanas, using joint angle measurements. Having fixed joint angle values is not possible, given the variations in angle values among the participants. Consequently, such parameters as the hip joint and knee angles are to be specified in range for a classification of asanas.

This work identifies the angle limits of standing and sitting postures so as to design a self-assisting system for yoga. Yoga asanas are classified and tested to enable their accurate identification. Extensive testing with older people is needed to assess the system.

The increase in the population of the elderly, coupled with their need for medical care, is a major concern worldwide. As older people are reluctant to practice yoga in public, it is anticipated that the proposed system will motivate them to do so at their convenience, and in the seclusion of their homes.

As older people are reluctant to adapt as well as practice yoga in public view, the proposal motivates and helps them to carry out yoga practices at their convenience.

This paper fulfills the initial study on the need and feasibility of creating a self-assisted yoga learning system. To identify postures and classify them joint angles are used; their range of motion has been calculated in order to set them as parameters of classification.

Only a small amount of research is available as yet on the performance of property developments. This article seeks to analyse the performance of property developments in institutional property investors' portfolios over four European countries – France, Germany, Sweden, and the UK – based on property level data submitted to the IPD property databank. The study also aims to consider total returns of standing investments as a benchmark for property developments.

Performance data over the period 1998 to 2002 are analysed by means of a multi‐factor analysis of variance where the factors are the country, property use type, year of completion, duration and capital value groups of property developments. As property developments usually carry higher risks, one would expect total returns of developments to be higher than for standing investments. By comparing weighted total returns of property developments with those of standing investments, support was found for this assumption in most cases.

Only in Germany did property developments perform even worse than the standing investments. Country and capital value were found to be the key performance drivers for property developments in the four countries. Interestingly, property use type does not yield a significant impact on performance.

As a first contribution, the findings of the study are supposed to be valuable for European institutional property investors in their asset allocation decision processes.