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In: Armed forces & society, Band 45, Heft 1, S. 45-58
ISSN: 1556-0848
Identity fusion, the visceral sense of interconnectedness between oneself and the members of a group, has been associated with military service anecdotally and examined among foreign military groups. However, no study to date has explored fusion and its relationship with functioning among U.S. military members. The aims of this study were (1) to examine the incremental predictive validity of fusion, (2) to examine the relationship between fusion and pro- and antisocial in-group behaviors, and (3) to determine how one's attitude toward their military service may affect fusion. Data were collected via self-report using Amazon's Mechanical Turk software. Results indicated that fusion predicted progroup beliefs and in-group helping behaviors above and beyond other indicators of military identity. Further, satisfaction with the military mediated the relationship between fusion and willingness to give time to other veterans. Identifying an important mediator of fusion expands upon earlier work in the field and suggests routes for future inquiry.
In: International review for the sociology of sport: irss ; a quarterly edited on behalf of the International Sociology of Sport Association (ISSA), Band 54, Heft 4, S. 431-444
ISSN: 1461-7218
Football violence has been a global problem for decades. A new way to approach the phenomenon comes from the theory of identity fusion, an extreme form of social bonding implicated in personally costly pro-group behaviours. Using British and Brazilian fan cultures to illustrate, this article discusses the ways in which identity fusion can help understandings of football violence. While hooliganism in the UK and the phenomenon of torcidas organizadas in Brazil operate under culturally distinct loci, the fundamental cognition underlying the extreme behaviours exhibited by both may be remarkably similar. Through this discussion, the football landscape is shown to offer researchers unique opportunities for understanding culture and the human psyche more broadly.
In: Human factors: the journal of the Human Factors Society, Band 40, Heft 1, S. 69-78
ISSN: 1547-8181
The risk of a collision between aircraft is rising as the density of commercial air traffic increases. This trend, together with the overwhelming need to upgrade the National Airspace System, has motivated the Federal Aviation Administration to sponsor the development of metrics to evaluate "dynamic density"—a proxy for the likelihood of collision risk. Here we propose and evaluate a mathematical index of dynamic density, D, that describes collision risk. Although our domain of investigation is aviation, the logic of D is applicable whenever objects move in limited spaces. A series of sensitivity analyses illustrate how D responds to frequently encountered air traffic conflict situations. We illustrate a use of D that characterizes pilot performance and efficiency in experimental simulations of free flight and suggest other human factors applications. This research could be applied immediately by the traffic management units of en-route air traffic control centers to reformulate the criterion for the critical capacity of sectors.
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Working paper
In: Journal of common market studies: JCMS, Band 35, Heft 2, S. 267-299
ISSN: 0021-9886
World Affairs Online
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Expansion of self through intercultural experiences / Julia Kraven -- Hansel and gretel revisited: quixotic reflections of online dating / Marie-Claire Patron -- Doni doni kononi danala - little by little the little bird builds its nest: -- Intercultural reflections: western travel in non-western culture / Alexandra Hoyt -- Migration and making sense of place: against a backdrop of negative -- Media discourse about africa / Peter Mbago Wakholi -- Mirror mirror: what culture am i?: using philosophy to reconstruct our -- Images and cultural identities / Tom Frengos -- Spreading roots globally, losing roots locally: coming to terms with -- Being an expat as an intercultural identity / Lucyann Kerry -- Barceloneta as heterotopic mirror: a place of different spaces / Tony McHugh -- Reflection and aspiration: mirrors and models in traditional european -- And chinese thought / R. James Ferguson -- Becoming a person through intercultural communication: a white american's experiences in asia and africa / William Kelly -- Intercultural mirrors: dynamic reconstruction of identity affect mirrors / Damian Cox -- List yourself: an autoethnography of intercultural identity / Donna Henson -- I'm so normal, i must be different / Taryn J. Mathis -- The decentred delegate: adapting identity within a model united nations -- Learning environment / Dennis Harmon II and Mark Dinnen -- Scotland the brave? an exile's perspective on scottish identity from abroad / Darren Swanson -- Intercultural mirrors and cultural humility: my journey as an educator / James Arvanitakis -- Cultural observations and a conversation about drawing by a wandering artist / Kristin Newton.
The EU-DEMO conceptual design is being conducted among research institutions and universities from 26 countries of European Union, Switzerland and Ukraine. Its mission is to realise electricity from nuclear fusion reaction by 2050. As DEMO has been conceived to deliver net electricity to the grid, the choice of the Breeding Blanket (BB) coolant plays a pivotal role in the reactor design having a strong influence on plant operation, safety and maintenance. In particular, due to the pulsed nature of the heat source, the Primary Heat Transfer System (PHTS) becomes a very important actor of the Balance of Plant (BoP) together with the Power Conversion System (PCS). Moreover, aiming to mitigate the potential negative impact of plasma pulsing on BoP equipment, for the DEMO plant is also being investigated a "heat transfer chain" option which envisages an Intermediate Heat Transfer System (IHTS) equipped with an Energy Storage System (ESS) between PHTS and PCS. Within this framework, a preliminary study has been carried out to analyse the thermal dynamic behaviour of the IHTS system for the Helium-Cooled Pebble Bed (HCPB) BB concept during pulse/dwell transition which should be still considered as the normal operating mode of a fusion power plant. Starting from preliminary thermal-hydraulic calculations made in order to size the main BoP components, the global performances of DEMO BoP have been quantitatively assessed focusing the attention on the attitude of the whole IHTS to smooth the sudden power variations which come from the plasma. The paper describes criteria and rationale followed to develop a numerical model which manages to simulate simple transient scenarios of DEMO BoP. Results of numerical simulations are presented and critically discussed in order to point out the main issues that DEMO BoP has to overcome to achieve a viable electricity power output.
BASE
Comunicació presentada a: FG 2017 12th IEEE International Conference on Automatic Face and Gesture Recognition, celebrada del 30 de maig al 3 de juny de 2017 a Washington, Estats Units d'Amèrica. ; An essential issue when training and validating computer vision systems for affect analysis is how to obtain reliable ground-truth labels from a pool of subjective annotations. In this paper, we address this problem when labels are given in an ordinal scale and annotated items are structured as temporal sequences. This problem is of special importance in affective computing, where collected data is typically formed by videos of human interactions annotated according to the Valence and Arousal (V-A) dimensions. Moreover, recent works have shown that inter-observer agreement of V-A annotations can be considerably improved if these are given in a discrete ordinal scale. In this context, we propose a novel framework which explicitly introduces ordinal constraints to model the subjective perception of annotators. We also incorporate dynamic information to take into account temporal correlations between ground-truth labels. In our experiments over synthetic and real data with V-A annotations, we show that the proposed method outperforms alternative approaches which do not take into account either the ordinal structure of labels or their temporal correlation. ; This work is partly supported by the Spanish Ministry of Economy and Competitiveness under the Ramon y Cajal fellowships and the Maria de Maeztu Units of Excellence Programme (MDM-2015-0502), and the Kristina project funded by the European Union Horizon 2020 research and innovation programme under grant agreement No 645012. Adria Ruiz would also like to acknowledge Spanish Government to provide support under grant FPU13/01740.
BASE
In: Intelligence and Security Informatics; Lecture Notes in Computer Science, S. 492-497
In: Cogent OA - Economics & Finance (2014), Vol. 2, pp.1-8, Open access
SSRN
In: Mir ėkonomiki i upravelenija: World of economics and management, Band 19, Heft 4, S. 14-30
ISSN: 2658-5375
The article provides quantitive evaluation of the world stock markets with the «Return-Risk» Model, which is based on the fundamental principles of the porfolio theory. The analysis undertaken is aimed at revealing the most attractive world stock markets in regard to shaping of the future investment policy in the short term as well as determining the countries which securities (stocks, bonds, financial derivatives, etc.) should be included into the extended diversified investment portfolio. In other words, the world stock markets under study are not only considered as the status displays of the national economies of the corresponding countries but also as the potential instruments for investment portfolios. The synthesized «Return-Risk» Model is applicable in investment practice. The model shows that the attempt of 1% increase in return leads to the increase of risk by 3%. The computing experiments to testify the proposed model on independent material (verification of the model with permanent structure based on sliding verification) proved its practical applicability for revealing the leading indexes and dynamics estimate of their return within the closest investment horizon, with the win-loss ratio accounting for over three to one (3,2:1). The average monthly return is 1,1% per tool.