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Describes some parts of Wiener’s significant contribution to mathematics in as simple and non‐technical a language as possible. Looks at Wiener’s early research and how he applied integration theory to potential theory, but not without first explaining the background to integration theory. Then describes one of Wiener’s most important works – that on Brownian motion, and how other theories such as harmonic analysis flowed from his study of Brownian motion. Concludes with a brief chronology of Wiener’s life.

This chapter has aimed to indicate some new important emerging policy problems, which have characterised the Covid crisis in the European economy during 2020 and then the bounce-back in 2021. The chapter has illustrated an economic theoretical framework focussed on innovation and structural changes, according to a Schumpeterian and evolutionary or neo-institutional approach, which seems more appropriate than the traditional neoclassical and macroeconomic models, as the basis for a ‘new industrial strategy’ in the European Union. The mainstream economic models are static and point-like, as they do not consider the role of time and of space, such as the existence of asymmetric information and external economies and also the interdependence between the companies and the other ‘stakeholders’ in the process of economic development. On the contrary, the theoretical framework of this chapter considers the factors that act on the structural changes according to four different and interdependent dimensions: the final demand, the intermediate productions and also the supply of labour and the endowment of natural resources. Finally, some preliminary indications on the organisation of a new industrial strategy at the European scale are discussed, different from the focus on just the digital and green technologies, as indicated by the NGEU program by the European Commission.

Barbados is at a very advanced stage of population aging. Health care services are designed to ensure universal access for all Barbadians but the contributing factors for older adults’ health care utilization are not well explored. This chapter examines gender differences in the correlates of seeking medical care among older adults in Barbados.

Logistic regression models were applied to data drawn from the 2000 Survey of Health, Well-Being and Aging of Older Adults in Latin America and the Caribbean (SABE), Bridgetown sample (n = 1,068).

Health needs, based on chronic conditions, were positively associated with seeking medical care for men and women. Different forms and directions of intergenerational support were associated with men and women seeking care. Among men, receiving financial support was positively associated with seeking care. Among women, providing financial support was associated with lower odds of seeking care while receiving instrumental support was associated with higher odds of seeking care.

Medical care is only one form of health care use and there is no specification of the nature of care or consultation. The sample is cross-sectional and limited to older adults in urban areas. The relative importance of enabling factors and health needs, especially, may differ across time and space within Barbados.

The study contributes to the literature on health care utilization among older adults within developing countries and highlights the pertinence of family relations influencing gender differences in health care utilization.

Recently, with a high volume of users and user’s content in Community Question Answering (CQA) sites, the quality of answers provided by users has raised a big concern. Finding the expert users can be a method to address this problem, which aims to find the suitable users (answerers) who can provide high-quality relevant answers. The purpose of this paper is to find the expert users for the newly posted questions of the CQA sites.

In this paper, a new algorithm, RANKuser, is proposed for identifying the expert users of CQA sites. The proposed RANKuser algorithm consists of three major stages. In the first stage, folksonomy relation between users, tags, and queries is established. User profile attributes, namely, reputation, tags, and badges, are also considered in folksonomy. In the second stage, expertise scores of the user are calculated based on reputation, badges, and tags. Finally, in the third stage, the expert users are identified by extracting top N users based on expertise score.

In this work, with the help of proposed ranking algorithm, expert users are identified for newly posted questions. In this paper, comparison of proposed user ranking algorithm (RANKuser) is also performed with other existing ranking algorithms, namely, ML-KNN, rankSVM, LDA, STM CQARank, and EV-based model using performance parameters such as hamming loss, accuracy, average precision, one error, F-measure, and normalized discounted cumulative gain. The proposed ranking method is also compared to the original ranking of CQA sites using the paired t-test. The experimental results demonstrate the effectiveness of the proposed RANKuser algorithm in comparison with the existing ranking algorithms.

This paper proposes and implements a new algorithm for expert user identification in CQA sites. By utilizing the folksonomy in CQA sites and information of user profile, this algorithm identifies the experts.

The objective of this chapter is to discuss how different techniques in Regional Science and Peace Science and the emerging techniques in Management Science can be used in analysing Disaster Management and Global pandemic with special reference to developing countries. It is necessary for me to first discuss the subjects of Disaster Management, Regional Science, Peace Science and Management Science. The objective of this chapter is to emphasise that the studies of Disaster Management should be more integrated with socioeconomic and geographical factors. The greatest disaster facing the world is the possibility of war, particularly nuclear war, and the preparation of the means of destruction through military spending.

This paper aims to propose a multi-scale simulation approach for the concrete macro-mechanical damage caused by mixed micro-pore pressures, such as the coupled alkali–silica reaction (ASR) and freeze-thaw cycles (FTC).

The micro-physical events are computationally modeled by considering the coupling effect between ASR gel and condensed water in the mixed pressure and motion. The pressures and transport of pore substances are also linked with the concrete matrix deformation at macro-scale through a poro-mechanical approach, and affect each other, reciprocally. Once the crack happens in the nonlinear analysis, both the micro-events (water and gel motion) and the macro mechanics will be mutually interacted. Finally, different sequences of combined ASR and FTC are simulated.

The multi-chemo mechanistic computation can reproduce complex events in pore structures, and further the macro-damages. The results show that ASR can reduce the FTC expansion for non-air-entrained concrete, but may increase the frost damage for air-entrained concrete. The simulation is examined to bring about the observed phenomena.

This paper numerically clarifies the strong linkage between macro-mechanical deformation and micro-chemo-physical events for concrete composites under coupled ASR and FTC.

Software developers extensively use stack overflow (SO) for knowledge sharing on software development. Thus, software engineering researchers have started mining the structured/unstructured data present in certain software repositories including the Q&A software developer community SO, with the aim to improve software development. The purpose of this paper is show that how academics/practitioners can get benefit from the valuable user-generated content shared on various online social networks, specifically from Q&A community SO for software development.

A comprehensive literature review was conducted and 166 research papers on SO were categorized about software development from the inception of SO till June 2016.

Most of the studies revolve around a limited number of software development tasks; approximately 70 percent of the papers used millions of posts data, applied basic machine learning methods, and conducted investigations semi-automatically and quantitative studies. Thus, future research should focus on the overcoming existing identified challenges and gaps.

The work on SO is classified into two main categories; “SO design and usage” and “SO content applications.” These categories not only give insights to Q&A forum providers about the shortcomings in design and usage of such forums but also provide ways to overcome them in future. It also enables software developers to exploit such forums for the identified under-utilized tasks of software development.

The study is the first of its kind to explore the work on SO about software development and makes an original contribution by presenting a comprehensive review, design/usage shortcomings of Q&A sites, and future research challenges.

Adaptation to the requirements of digital economy is especially difficult for older workers, which is a challenge for today’s organizations due to workforce shrinking and ageing. Therefore, the purpose of this paper is to investigate how it is possible to develop older employees’ potential in technology use in the business environment.

The authors examined how employees at various age perceive barriers during enterprise system (ES) adoption and use. This exploratory study is based on grounded theory and draws from the opinions of 187 Polish ES practitioners.

With age, emphasis on employees’ perception of mandatory ICT implementation projects is shifting from technology to people-related considerations. For older employees, job security and workload appear the most critical issues in such projects. Age-diverse collaboration appears necessary to address the problems posed by technology-related and demographic changes.

The findings imply that incorporating multiple stakeholder perspectives and age-related considerations into research on ICT adoption appears essential.

ICT adoption in the business environment can be successfully supported by age-balanced team building, cooperation between younger and older employees, and age-adjusted change management initiatives.

Supporting older employees during the implementation of mandatory business software should embrace reducing their negative attitudes to ICT-induced change by minimizing their perception of job insecurity.

Unlike many prior studies, the current research places age in the central role and discusses not only how it is possible to support older employees, but also how to leverage their potential in the process of ICT adoption and use in a mandatory setting.

Population ageing will bring economic challenges in the future. The purpose of this paper is to examine whether increased educational level could mitigate the consequences of population ageing on economic sustainability, measured as the gap between labour income and consumption.

Using the National Transfer Accounts (NTA) methodology, the authors decompose labour income and consumption by age and educational level (low, medium and high) and compare obtained age profiles with those calculated conventionally. In addition, using the population projections by age and educational level, the authors project both profiles to 2060 for selected EU countries and assess future economic sustainability.

The results show that the highly educated have a significantly higher surplus for a longer period then those with lower and medium education. Therefore, the improved educational level of individuals will have a substantially positive impact on labour income in the future—on average by about 32% by 2060 for all EU countries included. However, as the better educated also consume more, higher production does not fully translate into improved economic sustainability, but the resulting net effect is still positive at about 19%.

The authors present for the first time an NTA by education for 15 EU countries and show the importance of including education in the analysis of the economic life cycle. The authors also show that increased educational level will mitigate the consequences of population ageing on economic sustainability in the future.