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We analyze heights of Indian scouts in the U.S. army born between ca. 1825 and 1875. Their average height of ca. 170 cm (67 in.) confirms that natives were tall compared to Europeans but were nearly the shortest among the rural populations in the New World. The trend in their height describes a slightly inverted “U” shape with an increase between those born 1820–1834 and 1835–1839 of ca. 1.8 cm (0.7 in.) (p = 0.000) and a subsequent slight decline after the Civil War. This implies that they were able to maintain and perhaps even improve their nutritional status through the Civil War, though harder times followed for those born thereafter. We also recalculate the heights of Native Americans in the Boas sample and find that the Plains Indians were shorter than most rural Americans. The trend in the height of Indians in the Boas sample is similar to that of the scouts.

In this chapter, network analysis has been used to map out disciplinary areas of research and authorship in economic history. A total of 5,330 peer-reviewed articles published in the leading economic history journals has been surveyed. Since 1980, the number of publications has risen and then rapidly accelerated over the last 2 decades. This rise has been fueled by research being conducted within European universities instead of US or UK ones.

Purpose – This chapter aimed to investigate hedge funds market risk. One aims to go further the traditional measures of risk that underestimates it by introducing a more appropriate method to hedge funds. One demonstrates that daily hedge fund return distributions are asymmetric and leptokurtic. Furthermore, volatility clustering phenomenon and the existence of ARCH effects demonstrate that hedge funds volatility varies through time. These features suggest the modelisation of their volatility using symmetric (GARCH) and asymmetric (EGARCH and TGARCH) models used to evaluate a 1-day-ahead value at risk (VaR).

Methodology/Approach – The conditional variances were estimated under the assumption that residuals t follow the normal and the student law. The knowledge of the conditional variance was used to forecast 1-day-ahead VaR. The estimations are compared with the Gaussian, the student and the modified VaR. To sum up, 12 VaRs are computed; those based on standard deviation and computed with normal, student and cornish fisher quantile and those based on conditional volatility models (GARCH, TGARCH and EGARCH) computed with the same quantiles.

Findings – The results demonstrate that VaR models based on normal quantile underestimate risk while those based on student and cornish fisher quantiles seem to be more relevant measurements. GARCH-type VaRs are very sensitive to changes in the return process. Back-testing results show that the choice of the model used to forecast volatility has an importance. Indeed, the VaR based on standard deviation is not relevant to measure hedge funds risks as it fails the appropriate tests. On the opposite side, GARCH-, TGARCH- and EGARCH-type VaRs are accurate as they pass most of the time successfully the back-testing tests. But, the quantile used has a more significant impact on the relevance of the VaR models considered. GARCH-type VaR computed with the student and especially cornish fisher quantiles lead to better results, which is consistent with Monteiro (2004) and Pochon and Teïletche (2006).

Originality/Value of chapter – A large set of GARCH-type models are considered to estimate hedge funds volatility leading to numerous evaluation of VaRs. These estimations are very helpful. Indeed, public savings under institutional investors management then delegate to hedge funds are concerned. Therefore, an adequate risk management is required. Another contribution of this chapter is the use of daily data to measure all hedge fund strategies risks.

City identity is a distinct form of collective identity based on the perceived uniqueness and meanings of place, rather than group category and membership. A city’s identity is constructed over time through architecture, which involves three sign systems – material, visual, and rhetorical – and multiple institutional actors to communicate the city’s distinctiveness and identity. We compare Barcelona and Boston to examine the identity and meaning created and communicated by different groups of professionals, such as architects, city planners, international guide book writers, and local cultural critics, who perform the semiotic work of ­constructing city identity.

This chapter critically examines the implications of different pedagogical perspectives, approaches, and strategies for the design and implementation of technology-enhanced learning. The key tenets of different pedagogical perspectives are unpacked, including behaviorism, cognitivism, constructivism, socio-constructivism, and connectivism, with reference to how technology can be used to instantiate them. A range of different pedagogical approaches, including collaborative learning, problem-based learning, inquiry-based learning, constructionist learning, design-based learning, and games-based learning are discussed in relation to the use of technology and the previously identified pedagogical perspectives. Pedagogical strategies at a more instantaneous level are also considered, as are the goals of technology-enhanced learning in terms of promoting authentic and meaningful learning. The critical role of the teacher when applying pedagogies using technology, as well as associated issues, are discussed throughout.

Implementing the sustainable development goals (SDGs) has proven a significant challenge for companies. While multinational enterprises (MNEs) have shown a real intention to contribute to these goals, they face major barriers in implementing the SDGs in their core business strategies. Extant academic studies on this phenomenon have primarily explored why companies “should” address the SDG agenda but have not (yet) explored what “works,” what does not “work,” and why. Therefore, evidence of a sizable gap between intention and realization is growing. Besides, there is a limited explanation for the existence of this gap and no validated implementation models that could help overcome it. Additionally, management research remains relatively fragmented. The diversity of existing theoretical and empirical frameworks makes it difficult to consolidate scientific and practical insights on “how” to guide companies to accelerate the global goals through their core operations.

This study is one of the first attempts to draw lessons from extant research on effective SDGs’ implementation strategies. For that, we upgrade the “SDG Compass,” which has been recognized as a leading framework for SDGs implementation in companies’ core activities. A critical assessment of the literature on the SDGs implementation has been conducted through a systematic literature review (SLR) and bibliometric analysis. This has helped us identify gaps in the SDG implementation practice and accumulate relevant insights supporting a more integrated and upgraded implementation framework: the SDG Compass+. This framework can advance coordinated theoretical and practical research by identifying the antecedents and critical factors of impactful SDG implementation strategies.

In many countries over the world, women have waged peace to challenge systemic oppressions and build societies that are reflective of women’s voices, and in fact, all voices. Moved by the desire for change, and often even willing to put themselves at risk, these women have paved the way for societal change focused on peace, justice, and freedom. With the assistance of narratives from the Women’s PeaceMakers program at the University of San Diego (San Diego, California), we can come to know some of these women and understand their stories. This chapter shares the findings from a pilot study that helps to understand the work of these Women PeaceMakers through the lens of the Integral Perspective of Peace Leadership (McIntyre Miller & Green, 2015). It also offers recommendations for others engaging in the leadership and followership work of creating, sustaining, and actualizing a movement with particular attention paid to the modern United States-based Me Too and Time’s Up™ movements.

We study changes in age-specific diabetes-related mortality and annual health care utilization. We find that half of the estimated 16% increase of diabetic mortality falls within employable age groups. We estimate that disease combination-specific increase in case fatality has resulted in premature diabetic mortality costing $3.2 billion annually. The estimated annual direct cost of treating high-risk diabetics reaches $36 billion, of which Medicare and Other Federal Programs compensate 54%. Respiratory conditions among diabetics comprise the same proportion of high-risk diabetics as do the disease combinations including coronary heart diseases. Treating of general diabetic conditions has become more efficient as indicated by the estimated declines in per unit health care costs.