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System change for the circular economy (CE) in the society requires innovative thinking in refining existing material into new resources and collaboration with different actors. We introduce examples of decomposers with different roles in a circular ecosystem. Examples from reusers of waste material, users of recycled materials, designers of new technologies, and facilitators of CE networks are introduced to illustrate how companies contribute to a circular ecosystem in the clothing and textiles industry. Moreover, we illustrate the networked nature of supply chains of circular materials.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

The objective of inventory management models is to determine efficient policies for managing the trade-off between customer satisfaction and the cost of goods. This chapter presents a methodology that uses the Monte Carlo Method (MCM) to estimate the behavior of a raw material supply model, considering uncertain variables such as demand, prices, and exchange rates. In order to show how to use this methodology, we analyze the case of a Colombian company in the aluminum industry. This company imports aluminum sheets from China. In this case, we analyze the financial impact of the raw material supply contract proposed by the Chinese supplier. The model considers different supply scenarios for the raw material. We calculate robust indicators such as Value at Risk (VaR), the Conditional Value at Risk (CVaR) and the probability of success for each scenario analyzed. Finally, we conduct a sensitivity analysis with respect to the sales price to validate the proposed models and solution approaches. The results show that considering risk metrics to evaluate the impact of endogenous factors over the supply process is a useful approach to improve decision-making related to this process and also can help to ensure the profitability of the company.

How did Japan rise to challenge the U.S. economic supremacy? We argue that the foundation of Japan's rise from a defeated nation in 1945 to an economic powerhouse is the raw materials that Japanese firms have turned into cars, ships, consumer electronics, and of other industrial products. A small island nation that lacked adequate domestic supplies of virtually all the raw materials essential to industrial production became a world leader in the production of steel and of products which required millions of tons per year of raw materials. Japanese firms and the Japanese state turned an apparent material and economic disadvantage, the need to import large volumes of raw materials, into a competitive advantage over the U.S., Europe, and the rest of the world economy by driving down the cost of importing raw materials over long distances. We argue that the strategies of Japanese firms and the Japanese state to resolve the problems of procuring bulk cheaply and reliably from multiple distant locales drove the technical and organizational innovations that underlay Japan's rapid industrial development and restructured the world economy in support of Japan's development. Contrary to claims that globalization supercedes the national state, we find that the actions of the Japanese state, in coordination with firms and industry sectors, were crucial in developing and applying these strategies. The linchpin of these strategies were the MIDAs (Maritime Industrial Development Areas) built on land reclaimed by the Japanese state. This economic success in Japan was also critically dependent on the extraction of billions of dollars of wealth from its raw materials peripheries, most notably Australia, Brazil, and Canada.

Italian epidemiological data reveal a large discrepancy between the incidence of learning disabilities in mathematics and simple difficulties in mathematics. The incidence of dyscalculia (specific learning disability in mathematics) is about 2%, whereas the incidence of students with difficulties in arithmetic is surprisingly greater, estimated by teachers to be about five students out of 25 (that is, 20%). This unexpectedly high number of students with difficulties invites serious consideration of its cause and remedy. In this chapter, we try to answer to these questions in the light of two educational studies aimed at improving calculation abilities and the outcome of an intervention with three single cases with dyscalculia using the model and the materials of an innovative arithmetical curriculum. The results suggest that for most children, their arithmetic difficulties are simple consequences of their math instruction, which may be remediated by integrating traditional math curricula with information derived from the research on the cognitive arithmetical architecture and its development. There are also implications that even the arithmetical difficulties of dyscalculic children may be improved with special training focused on their specific impairments revealed after a detailed assessment.

The prevalence of online hate material is a public concern, but few studies have analyzed the extent to which young people are exposed to such material. This study investigated the extent of exposure to and victimization by online hate material among young social media users.

The study analyzed data collected from a sample of Finnish Facebook users (n = 723) between the ages of 15 and 18. Analytic strategies were based on descriptive statistics and logistic regression models.

A majority (67%) of respondents had been exposed to hate material online, with 21% having also fallen victim to such material. The online hate material primarily focused on sexual orientation, physical appearance, and ethnicity and was most widespread on Facebook and YouTube. Exposure to hate material was associated with high online activity, poor attachment to family, and physical offline victimization. Victims of the hate material engaged in high levels of online activity. Their attachment to family was weaker, and they were more likely to be unhappy. Online victimization was also associated with the physical offline victimization.

While the online world has opened up countless opportunities to expand our experiences and social networks, it has also created new risks and threats. Psychosocial problems that young people confront offline overlap with their negative online experiences. When considering the risks of Internet usage, attention should be paid to the problems young people may encounter offline.

This study expands our knowledge about exposure to online hate material among users of the most popular social networking sites. It is the first study to take an in-depth look at the hate materials young people encounter online in terms of the sites where the material was located, how users found the site, the target of the hate material, and how disturbing users considered the material to be.