6,351 research outputs found
Machine learning in solar physics
The application of machine learning in solar physics has the potential to
greatly enhance our understanding of the complex processes that take place in
the atmosphere of the Sun. By using techniques such as deep learning, we are
now in the position to analyze large amounts of data from solar observations
and identify patterns and trends that may not have been apparent using
traditional methods. This can help us improve our understanding of explosive
events like solar flares, which can have a strong effect on the Earth
environment. Predicting hazardous events on Earth becomes crucial for our
technological society. Machine learning can also improve our understanding of
the inner workings of the sun itself by allowing us to go deeper into the data
and to propose more complex models to explain them. Additionally, the use of
machine learning can help to automate the analysis of solar data, reducing the
need for manual labor and increasing the efficiency of research in this field.Comment: 100 pages, 13 figures, 286 references, accepted for publication as a
Living Review in Solar Physics (LRSP
Beam scanning by liquid-crystal biasing in a modified SIW structure
A fixed-frequency beam-scanning 1D antenna based on Liquid Crystals (LCs) is designed for application in 2D scanning with lateral alignment. The 2D array environment imposes full decoupling of adjacent 1D antennas, which often conflicts with the LC requirement of DC biasing: the proposed design accommodates both. The LC medium is placed inside a Substrate Integrated Waveguide (SIW) modified to work as a Groove Gap Waveguide, with radiating slots etched on the upper broad wall, that radiates as a Leaky-Wave Antenna (LWA). This allows effective application of the DC bias voltage needed for tuning the LCs. At the same time, the RF field remains laterally confined, enabling the possibility to lay several antennas in parallel and achieve 2D beam scanning. The design is validated by simulation employing the actual properties of a commercial LC medium
Endogenous measures for contextualising large-scale social phenomena: a corpus-based method for mediated public discourse
This work presents an interdisciplinary methodology for developing endogenous measures of group membership through analysis of pervasive linguistic patterns in public discourse. Focusing on political discourse, this work critiques the conventional approach to the study of political participation, which is premised on decontextualised, exogenous measures to characterise groups. Considering the theoretical and empirical weaknesses of decontextualised approaches to large-scale social phenomena, this work suggests that contextualisation using endogenous measures might provide a complementary perspective to mitigate such weaknesses.
This work develops a sociomaterial perspective on political participation in mediated discourse as affiliatory action performed through language. While the affiliatory function of language is often performed consciously (such as statements of identity), this work is concerned with unconscious features (such as patterns in lexis and grammar). This work argues that pervasive patterns in such features that emerge through socialisation are resistant to change and manipulation, and thus might serve as endogenous measures of sociopolitical contexts, and thus of groups.
In terms of method, the work takes a corpus-based approach to the analysis of data from the Twitter messaging service whereby patterns in usersâ speech are examined statistically in order to trace potential community membership. The method is applied in the US state of Michigan during the second half of 2018â6 November having been the date of midterm (i.e. non-Presidential) elections in the United States. The corpus is assembled from the original posts of 5,889 users, who are nominally geolocalised to 417 municipalities. These users are clustered according to pervasive language features. Comparing the linguistic clusters according to the municipalities they represent finds that there are regular sociodemographic differentials across clusters. This is understood as an indication of social structure, suggesting that endogenous measures derived from pervasive patterns in language may indeed offer a complementary, contextualised perspective on large-scale social phenomena
Corporate Social Responsibility: the institutionalization of ESG
Understanding the impact of Corporate Social Responsibility (CSR) on firm performance as it relates to industries reliant on technological innovation is a complex and perpetually evolving challenge. To thoroughly investigate this topic, this dissertation will adopt an economics-based structure to address three primary hypotheses. This structure allows for each hypothesis to essentially be a standalone empirical paper, unified by an overall analysis of the nature of impact that ESG has on firm performance. The first hypothesis explores the evolution of CSR to the modern quantified iteration of ESG has led to the institutionalization and standardization of the CSR concept. The second hypothesis fills gaps in existing literature testing the relationship between firm performance and ESG by finding that the relationship is significantly positive in long-term, strategic metrics (ROA and ROIC) and that there is no correlation in short-term metrics (ROE and ROS). Finally, the third hypothesis states that if a firm has a long-term strategic ESG plan, as proxied by the publication of CSR reports, then it is more resilience to damage from controversies. This is supported by the finding that pro-ESG firms consistently fared better than their counterparts in both financial and ESG performance, even in the event of a controversy. However, firms with consistent reporting are also held to a higher standard than their nonreporting peers, suggesting a higher risk and higher reward dynamic. These findings support the theory of good management, in that long-term strategic planning is both immediately economically beneficial and serves as a means of risk management and social impact mitigation. Overall, this contributes to the literature by fillings gaps in the nature of impact that ESG has on firm performance, particularly from a management perspective
AnuĂĄrio cientĂfico da Escola Superior de Tecnologia da SaĂșde de Lisboa - 2021
Ă com grande prazer que apresentamos a mais recente edição (a 11.ÂȘ) do AnuĂĄrio CientĂfico da Escola Superior de Tecnologia da SaĂșde de Lisboa. Como instituição de ensino superior, temos o compromisso de promover e incentivar a pesquisa cientĂfica em todas as ĂĄreas do conhecimento que contemplam a nossa missĂŁo. Esta publicação tem como objetivo divulgar toda a produção cientĂfica desenvolvida pelos Professores, Investigadores, Estudantes e Pessoal nĂŁo Docente da ESTeSL durante 2021. Este AnuĂĄrio Ă©, assim, o reflexo do trabalho ĂĄrduo e dedicado da nossa comunidade, que se empenhou na produção de conteĂșdo cientĂfico de elevada qualidade e partilhada com a Sociedade na forma de livros, capĂtulos de livros, artigos publicados em revistas nacionais e internacionais, resumos de comunicaçÔes orais e pĂłsteres, bem como resultado dos trabalhos de 1Âș e 2Âș ciclo. Com isto, o conteĂșdo desta publicação abrange uma ampla variedade de tĂłpicos, desde temas mais fundamentais atĂ© estudos de aplicação prĂĄtica em contextos especĂficos de SaĂșde, refletindo desta forma a pluralidade e diversidade de ĂĄreas que definem, e tornam Ășnica, a ESTeSL. Acreditamos que a investigação e pesquisa cientĂfica Ă© um eixo fundamental para o desenvolvimento da sociedade e Ă© por isso que incentivamos os nossos estudantes a envolverem-se em atividades de pesquisa e prĂĄtica baseada na evidĂȘncia desde o inĂcio dos seus estudos na ESTeSL. Esta publicação Ă© um exemplo do sucesso desses esforços, sendo a maior de sempre, o que faz com que estejamos muito orgulhosos em partilhar os resultados e descobertas dos nossos investigadores com a comunidade cientĂfica e o pĂșblico em geral. Esperamos que este AnuĂĄrio inspire e motive outros estudantes, profissionais de saĂșde, professores e outros colaboradores a continuarem a explorar novas ideias e contribuir para o avanço da ciĂȘncia e da tecnologia no corpo de conhecimento prĂłprio das ĂĄreas que compĂ”e a ESTeSL. Agradecemos a todos os envolvidos na produção deste anuĂĄrio e desejamos uma leitura inspiradora e agradĂĄvel.info:eu-repo/semantics/publishedVersio
Decoding spatial location of attended audio-visual stimulus with EEG and fNIRS
When analyzing complex scenes, humans often focus their attention on an object at a particular spatial location in the presence of background noises and irrelevant visual objects. The ability to decode the attended spatial location would facilitate brain computer interfaces (BCI) for complex scene analysis. Here, we tested two different neuroimaging technologies and investigated their capability to decode audio-visual spatial attention in the presence of competing stimuli from multiple locations. For functional near-infrared spectroscopy (fNIRS), we targeted dorsal frontoparietal network including frontal eye field (FEF) and intra-parietal sulcus (IPS) as well as superior temporal gyrus/planum temporal (STG/PT). They all were shown in previous functional magnetic resonance imaging (fMRI) studies to be activated by auditory, visual, or audio-visual spatial tasks. We found that fNIRS provides robust decoding of attended spatial locations for most participants and correlates with behavioral performance. Moreover, we found that FEF makes a large contribution to decoding performance. Surprisingly, the performance was significantly above chance level 1s after cue onset, which is well before the peak of the fNIRS response.
For electroencephalography (EEG), while there are several successful EEG-based algorithms, to date, all of them focused exclusively on auditory modality where eye-related artifacts are minimized or controlled. Successful integration into a more ecological typical usage requires careful consideration for eye-related artifacts which are inevitable. We showed that fast and reliable decoding can be done with or without ocular-removal algorithm. Our results show that EEG and fNIRS are promising platforms for compact, wearable technologies that could be applied to decode attended spatial location and reveal contributions of specific brain regions during complex scene analysis
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An Agile Musicology: Improvisation in Corporate Management and Lean Startups
The last decade of the twentieth century saw a proliferation of publications that use jazz as a metaphor for corporate management, arguing that in the contemporary knowledge economy, jazz is superior to the symphonic model that governed mid-century factory floors. As the literature on the jazz metaphor, and organizational improvisation more broadly, continued to develop into the twenty-first century, another managerial methodology became widely adopted by entrepreneurs: agile. While agile is yet to be fully theorized as an improvisatory practice, agile shares several core tenets with the models promoted by organizational improvisation scholars, including the use of small teams, an emphasis on feedback, and an openness to change. In this dissertation, I argue that agile methods, and the adjacent lean methodology, are inherently improvisatory and that understanding them as improvisatory offers opportunities not only for their deployment within growing businesses, but also for adoption at-scale in large corporations.
I draw on an array of disciplinary perspectives, including management science, organizational studies, musicology, and critical improvisation studies, as well as a wide range of sources, from peer-reviewed journal publications to trade manuals. Each chapter builds upon the former: a substantial and critical review of the jazz metaphor literature is followed by a dissection of its main themes under a musicological lens; after securing the foundations of organizational improvisation, the next chapter reveals the improvisatory nature of agile and lean startup practices and links them to concepts discussed within the jazz metaphor literature. Drawing on insights from large-scale improvisatory musical practices, the final chapter reveals how improvisation, as a set of practices shared between corporate management and agile methodologies, provides avenues for agile to be scaled up as startups grow or for its widespread adoption within established companies
TOWARDS AN UNDERSTANDING OF EFFORTFUL FUNDRAISING EXPERIENCES: USING INTERPRETATIVE PHENOMENOLOGICAL ANALYSIS IN FUNDRAISING RESEARCH
Physical-activity oriented community fundraising has experienced an exponential growth in popularity over the past 15 years. The aim of this study was to explore the value of effortful fundraising experiences, from the point of view of participants, and explore the impact that these experiences have on peopleâs lives. This study used an IPA approach to interview 23 individuals, recognising the role of participants as proxy (nonprofessional) fundraisers for charitable organisations, and the unique organisation donor dynamic that this creates. It also bought together relevant psychological theory related to physical activity fundraising experiences (through a narrative literature review) and used primary interview data to substantiate these. Effortful fundraising experiences are examined in detail to understand their significance to participants, and how such experiences influence their connection with a charity or cause. This was done with an idiographic focus at first, before examining convergences and divergences across the sample. This study found that effortful fundraising experiences can have a profound positive impact upon community fundraisers in both the short and the long term. Additionally, it found that these experiences can be opportunities for charitable organisations to create lasting meaningful relationships with participants, and foster mutually beneficial lifetime relationships with them. Further research is needed to test specific psychological theory in this context, including self-esteem theory, self determination theory, and the martyrdom effect (among others)
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The Child in Games: From the Meek, to the Mighty, to the Monstrous
Drawing across game studies, childhood studies, and childrenâs literature studies, this thesis catalogues and critiques the representation of children in contemporary video games.
It poses two questions:
1) How are children represented in contemporary video games?
2) In what ways do the representations of children in video games affirm or
challenge dominant Western beliefs about the figure of the child?
To answer these questions, I combine a large-scale content analysis of over 500 games published between 2009 and 2019 with a series of autoethnographic close readings. My content analysis is designed to provide a quantitative snapshot of the representation of children in games. I use statistical analysis to assemble data points as meaningful constellations. I use the axes of race, gender, and age, as well as genre, age-rating, and publication year, to identify patterns in representation. I distil my findings as a set of seven archetypes: The Blithe Child, The Heroic Child, The Human Becoming, The Child Sacrifice, The Side Kid, The Waif, and The Little Monster. This typology is not intended to work against the granular detail of the information recorded in the dataset, but to draw attention to patterns of coherence and divergence that occur between particular examples, as well as to intersections with representational tropes about children identified in other media.
I select four of these seven archetypes to structure my autoethnographic close readings. While content analysis is a useful tool for documenting the presence, absence, and dominant function of child-characters in games, close reading allows for a more intersectional approach that can attend to the nuances of representation across identity markers, creating opportunities to examine internal contradictions, ironies, and the polysemy generated through interpretive gaps. I develop my own close reading method building on the autoethnographic approaches of Carr (2019), Vossen (2020), McArthur (2018), and Jennings (2021), which I call critical ekphrasis. Chapter one argues that the Blithe Child triangulates âchildrenâ, âtoysâ, and âpaidiaâ. It suggests that both childhood and play can be conceptualised as a âmagic circleâ, and that the immateriality of the Blithe Child implies childhood can be a mode of being unconnected to anatomical markers or chronological age. Chapter two explores how the Heroic Child challenges the apparent affinity between video games and traditional hero
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narratives. It argues that the dependence of the childly protagonist undermines dualistic thinking and instead celebrates cooperation, compromise, and connection. Chapter three compares the Child Sacrifice to the woman-in-the-refrigerator trope, arguing that it functions to justify aggressive, hypermasculine, militarised violence. The final chapter compares the Little Monster and the Waif to examine how the uncanny child raises metareferential questions about autonomy in interactive media and agency in intergenerational relationships.
My research project concludes by suggesting that virtual children in simulated worlds point to the active construction and delimitation of âthe childâ in society and can reveal that much of what is assumed to be natural, obvious, and universal about the figure of âthe childâ is in fact ideological. It hints at the possibility that just as virtual children are used as rhetorical figures to explain and justify the rules, mechanics, and moral systems of a digital game, so too is the figure of âthe childâ used to routinise and vindicate the rules, workings, and moral systems of Euro-American culture.AHR
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