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In the multi-disciplinary field of wind energy, students and professionals can often be uncomfortable outside their own specialist areas. This essential textbook explains the key aspects of wind turbine technology and its application in a single readable text. Covering a broad range of multi-disciplinary topics, including everything from aerodynamics through to electrical and control theory, to structures, planning, economics, and policy, this reference is an excellent toolkit for undergraduate students, postgraduate students, and professionals in the field of wind energy. Key concepts, including more challenging ones such as rotational sampling of turbulence, vortex wake structures, and reactive power management, are explained using clear language and simplifying illustrations including experimental graphs, photos, and line drawings.
Tracing the lives and experiences of 100,000 Africans who landed in Sierra Leone having been taken off slave vessels by the British Navy following Britain's abolition of the trans-Atlantic slave trade, this study focuses on how people, forcibly removed from their homelands, packed onto to slave ships, and settled in Sierra Leone were able to rebuild new lives, communities, and collective identities in an early British colony in West Africa. Their experience illuminates both African and African diaspora history by tracing the evolution of communities forged in the context of forced migration and the missionary encounter in a prototypical post-slavery colonial society. A new approach the major historical field of British anti-slavery, studied not as a history of legal victories (abolitionism) but of enforcement and lived experience (abolition), Richard Anderson reveals the linkages between emancipation, colonization, and identity formation in the Black Atlantic.
This book is an interdisciplinary guide to the religion clauses of the First Amendment with a focus on its philosophical foundations, historical developments, and legal and political implications. The volume begins with fundamental questions about God, the nature of belief and worship, conscience, freedom, and their intersections with law. It then traces the history of religious liberty and church-state relations in America through a diverse set of religious and non-religious voices from the seventeenth century to the most recent Supreme Court decisions. The Companion will conclude by addressing legal and political questions concerning the First Amendment and the court cases and controversies surrounding religious liberty today, including the separation of church and state, corporate religious liberty, and constitutional interpretation. This scholarly yet accessible book will introduce students and scholars alike to the main issues concerning the First Amendment and religious liberty, along with offering incisive new insights into one of the most important topics in American culture.
Social anxiety lies on a continuum, and young adults with elevated symptoms are at risk for developing a range of psychiatric disorders. Yet relatively little is known about the factors that govern the hour-by-hour experience and expression of social anxiety in the real world.
Here we used smartphone-based ecological momentary assessment (EMA) to intensively sample emotional experience across different social contexts in the daily lives of 228 young adults selectively recruited to represent a broad spectrum of social anxiety symptoms.
Leveraging data from over 11 000 real-world assessments, our results highlight the central role of close friends, family members, and romantic partners. The presence of such close companions was associated with enhanced mood, yet socially anxious individuals had fewer confidants and spent less time with the close companions that they do have. Although higher levels of social anxiety were associated with a general worsening of mood, socially anxious individuals appear to derive larger benefits – lower levels of negative affect, anxiety, and depression – from their close companions. In contrast, variation in social anxiety was unrelated to the amount of time spent with strangers, co-workers, and acquaintances; and we uncovered no evidence of emotional hypersensitivity to these less-familiar individuals.
These findings provide a framework for understanding the deleterious consequences of social anxiety in emerging adulthood and set the stage for developing improved intervention strategies.
On August 14, 2017, a 6-kilometer mudslide occurred in Regent Area, Western Area District of Sierra Leone following a torrential downpour that lasted 3 days. More than 300 houses along River Juba were submerged; 1141 people were reported dead or missing and 5905 displaced. In response to the mudslide, the World Health Organization (WHO) Country Office in Sierra Leone moved swiftly to verify the emergency and constitute an incident management team to coordinate the response. Early contact was made with the Ministry of Health and Sanitation and health sector partners. A Public Health Emergency Operations Center was set up to coordinate the response. Joint assessments, planning, and response among health sector partners ensured effectiveness and efficiency. Oral cholera vaccination was administered to high-risk populations to prevent a cholera outbreak. Surveillance for 4 waterborne diseases was enhanced through daily reporting from 9 health facilities serving the affected population. Performance standards from the WHO Emergency Response Framework were used to monitor the emergency response. An assessment of the country’s performance showed that the country’s response was well executed. To improve future response, we recommend enhanced district level preparedness, update of disaster response protocols, and pre-disaster mapping of health sector partners.
Environmental scientists and managers increasingly recognize that socio-cultural evaluations expand the understanding of human–nature relationships. Here, user groups’ perceptions of the benefits from and threats to nature were analysed in Tierra del Fuego National Park, Argentina. We hypothesized that the different relationships of users to this place would lead to significantly different valuations among local Ushuaia residents (n = 122), Argentine nationals (n = 147) and international tourists (n = 294). All users perceived a broad spectrum of benefits. The three groups assessed intrinsic and relational values more highly than instrumental benefits, and significant differences included a higher mean valuation of benefits by Argentine visitors. Overall, threats were less perceived than benefits, and significant differences included a higher mean threat assessment by Ushuaia residents. To explain these relationships, we found that mean valuations of benefits and threats were weakly related to increased biodiversity knowledge for residents and international tourists, but not for Argentine visitors. These findings can orient environmental management in Patagonia and elsewhere by identifying areas where information can improve user experiences and by contributing a more pluralistic understanding of nature from multiple stakeholders.
Biogas created from anaerobic digestion on dairy farms can be used to generate electricity, produce coproducts, and reduce reliance on off-farm inputs. We incorporate risk into simulation models representing dairy farms in Texas and demonstrate the profitability of new anaerobic digester installation. Based on this market, results indicate projects that have low investment costs, receive grant support for construction, utilize coproducts, or have some combination of these factors have higher net present value at the end of the study period; however, even with generous grant support and high electricity prices, projects with average investment costs remain unprofitable.
Recent years have seen an exponential increase in the variety of healthcare data captured across numerous sources. However, mechanisms to leverage these data sources to support scientific investigation have remained limited. In 2013 the Pediatric Heart Network (PHN), funded by the National Heart, Lung, and Blood Institute, developed the Integrated CARdiac Data and Outcomes (iCARD) Collaborative with the goals of leveraging available data sources to aid in efficiently planning and conducting PHN studies; supporting integration of PHN data with other sources to foster novel research otherwise not possible; and mentoring young investigators in these areas. This review describes lessons learned through the development of iCARD, initial efforts and scientific output, challenges, and future directions. This information can aid in the use and optimisation of data integration methodologies across other research networks and organisations.
Data mining is a process of finding correlations and collecting and analysing a huge amount of data in a database to discover patterns or relationships. Flight delay creates significant problems in the present aviation system. Data mining techniques are desired for analysing the performance in which micro-level causes propagate to make system-level patterns of delay. Analysing flight delays is very difficult – both when looking from a historical view as well as when estimating delays with forecast demand. This paper proposes using Decision Tree (DT), Support Vector Machine (SVM), Naive Bayesian (NB), K-nearest neighbour (KNN) and Artificial Neural Network (ANN) to study and analyse delays among aircrafts. The performance of different data mining methods is found in the different regions of the updated datasets on these classifiers. Finally, the result shows a significant variation in the performance of different data mining methods and feature selection for this problem. This paper aims to deal with how data mining techniques can be used to understand difficult aircraft system delays in aviation. Our aim is to develop a classification model for studying and reducing delay using different data mining methods and, in this manner, to show that DT has a greater classification accuracy. The different feature selectors are used in this study in order to reduce the number of initial attributes. Our results clearly demonstrate the value of DT for analysing and visualising how system-level effects happen from subsystem-level causes.
Cognitive behaviour therapy for insomnia (CBTi) has emerged as the first-line treatment for insomnia where available. Clinical trials of digital CBTi (dCBTi) have demonstrated similar efficacy and drop-out rates to face-to-face CBTi. Most patients entering clinical trials are carefully screened to exclude other sleep disorders. This is a case series review of all those referred to a dCBTi within an 18-month time period. Those initially screened, accepted after exclusion of other sleep disorders, commencing and completing therapy were assessed to understand patient population referred from general practice in the UK. 390 patient referrals were analysed. 135 were suitable for dCBTi with a high rate of other sleep disorders detected in screening. 78 completed therapy (20.0%) and 44.9% had significant improvement in sleep outcomes, achieving ≥20% improvement in final sleep efficiency. dCBTi can be used within the UK NHS with good benefit for those who are selected as having insomnia and who then complete therapy. Many referrals are made with those likely to have distinct primary sleep disorders highlighting the need for education regarding sleep and sleep disorders prior to dCBTi therapy.
Key learning aims
(1)The use of unsupported digital cognitive behavioural therapy for insomnia (dCBTi) requires proper patient selection.
(2)There are many insomnia mimics and also previously unrecognized sleep and psychiatric disturbances that are under-diagnosed in the primary care setting that are contraindications for unsupported dCBTi.
(3)The use of a stepped care approach similar to the UK’s Improving Access to Psychological Therapies (IAPT) model using dCBTi could be feasible in the public health setting.
It is widely assumed that celebrities are imbued with political capital and the power to move opinion. To understand the sources of that capital in the specific domain of sports celebrity, we investigate the popularity of global soccer superstars. Specifically, we examine players’ success in the Ballon d’Or—the most high-profile contest to select the world’s best player. Based on historical election results as well as an original survey of soccer fans, we find that certain kinds of players are significantly more likely to win the Ballon d’Or. Moreover, we detect an increasing concentration of votes on these kinds of players over time, suggesting a clear and growing hierarchy in the competition for soccer celebrity. Further analyses of support for the world’s two best players in 2016 (Lionel Messi and Cristiano Ronaldo) show that, if properly adapted, political science concepts like partisanship have conceptual and empirical leverage in ostensibly non-political contests.
We have observed the G23 field of the Galaxy AndMass Assembly (GAMA) survey using the Australian Square Kilometre Array Pathfinder (ASKAP) in its commissioning phase to validate the performance of the telescope and to characterise the detected galaxy populations. This observation covers ~48 deg2 with synthesised beam of 32.7 arcsec by 17.8 arcsec at 936MHz, and ~39 deg2 with synthesised beam of 15.8 arcsec by 12.0 arcsec at 1320MHz. At both frequencies, the root-mean-square (r.m.s.) noise is ~0.1 mJy/beam. We combine these radio observations with the GAMA galaxy data, which includes spectroscopy of galaxies that are i-band selected with a magnitude limit of 19.2. Wide-field Infrared Survey Explorer (WISE) infrared (IR) photometry is used to determine which galaxies host an active galactic nucleus (AGN). In properties including source counts, mass distributions, and IR versus radio luminosity relation, the ASKAP-detected radio sources behave as expected. Radio galaxies have higher stellar mass and luminosity in IR, optical, and UV than other galaxies. We apply optical and IR AGN diagnostics and find that they disagree for ~30% of the galaxies in our sample. We suggest possible causes for the disagreement. Some cases can be explained by optical extinction of the AGN, but for more than half of the cases we do not find a clear explanation. Radio sources aremore likely (~6%) to have an AGN than radio quiet galaxies (~1%), but the majority of AGN are not detected in radio at this sensitivity.
In this paper we estimate a New-Keynesian dynamic stochastic general equilibrium (NK DSGE) model with heterogeneity in price and wage setting behavior. In a recent study, Coibion and Gorodnichenko develop a DSGE model, in which firms follow four different types of price setting schemes: sticky prices, sticky information, rule-of-thumb, or flexible prices. We enrich Coibion and Gorodnichenko framework by incorporating heterogeneity in nominal wage setting behavior among households. We solve this DSGE model and estimate it using Bayesian techniques for the US economy from 1955 to 2008. The estimation results show the relevance of heterogeneity in wage setting among households. More importantly, we identify qualitative and quantitative business cycle features allowed by the heterogeneity in wage rigidity, such as the persistence in price and wage inflation, which a standard NK model with only Calvo-type wage rigidity fails to achieve. We also show that modeling wage-rigidity heterogeneity—as opposed to standard Calvo wages—amplifies the macroeconomic output fluctuations resulting from a technology shock while it mitigates the output fluctuations following a monetary tightening.
In this essay Andrew Anderson proposes that all Lorca’s plays share certain commonalities: his protagonists invariably find themselves in some kind of predicament or dilemma, and it always turns out that there is no favourable solution to the position in which they find themselves. A number of diverse and, on the face of it, conflicting factors play into creating these dramatic situations: family, society, gender, psychology, as well as more metaphysical elements that suggest aspects of existentialism. Here, the characters and plots of four of Lorca’s best-known plays from the 1930s are analyzed to demonstrate the various ways in which these disparate factors combine to produce what are usually tragic outcomes. Andrew Anderson is Professor of Spanish in the Department of Spanish, Italian, and Portuguese at the University of Virginia. He has published extensively on the work of García Lorca and the Spanish historical avant-garde, most recently La recepción de las vanguardias extranjeras en España: cubismo, futurismo, dadá. Estudio y ensayo de bibliografía (Seville: Renacimiento, 2018).