3483 research outputs found
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Noncommutative discrete equations, symmetries and reductions
Employing the Lax pairs of the noncommutative discrete potential Korteweg–de Vries (KdV) and Hirota’s KdV equations, we derive differential–difference equations that are consistent with these systems and serve as their generalised symmetries. Miura transformations mapping these equations to a noncommutative modified Volterra equation and its master symmetry are constructed. We demonstrate the use of these symmetries to reduce the potential KdV equation, leading to a noncommutative discrete Painlevé equation and to a system of partial differential equations that generalises the Ernst equation and the Neugebauer–Kramer involution. Additionally, we present a Darboux transformation and an auto-Bäcklund transformation for the Hirota’s KdV equation, and establish their connection with the noncommutative Yang–Baxter map F I I I
The eyes have it: how vision science can help policymakers
Eye movement research reveals how people allocate attention and interpret visual information. For policymakers, it can provide insights into how policies are experienced
Beyond Limits
Beyond Limits: Disability at the Heart of the Arts, is the focus of the 13th issue of Stages Journal. The symposium was co-produced by Liverpool Biennial, partnering with DaDa and the Centre for Culture and Disability Studies (CCDS) at Liverpool Hope University, and took place on 6th November, at FACT, Liverpool
Leadership-Artificial Intelligence Interaction for Sustainable Mega Events: Rethinking the Current and Future Research and Practices
Mega events have witnessed significant developments in terms of content, methods, system, policy, and funding alongside technology development. This study aims to propose a conceptual framework that brings clarity to the role of leadership-artificial intelligence (AI) interaction by reviewing and synthesising the current literature on leadership and AI technologies. We propose a new definition of leadership-AI interaction in mega events settings and suggest a model using particular questions of what leadership-AI interaction does, what it needs, why we use leadership-AI interaction, how we use it, what influences its use, and what benefits can be achieved from its use. We attempt to answer these inquiries by reviewing previous research on the following variables: functions, perceived needs, reasons, methods, influencing factors, and outcomes
Little Worlds of Food Control
The story of how US scientific understanding dovetailing environment, public health, and food played out in America's imperial periphery in the early twentieth century
The Beauty Builder: A Genealogical Analysis of the Production of Female Power and Knowledge in Artistic Swimming
The study adopts a Foucauldian genealogical perspective to examine the transformation of gender discourse in artistic swimming. It highlights the importance of challenging the established gender norms and stereotypes in artistic swimming to promote greater gender inclusivity. By investigating archival documents and media coverages related to artistic swimming, the study unveils two discursive factors that result in the constitution of contemporary female-dominant discourse. First, male discourse has gradually diminished along with the development of the sport. Second, the continuous accumulation of female discourses concerning artistic swimming has produced genealogical knowledge aligned with female swimmers' physical and aesthetic traits. This knowledge ultimately contributes to the label of artistic swimming as a feminine sport and empowers women within its domain. The genealogical examination reveals the constructive nature and the production of the power/knowledge in artistic swimming and scrutinises the epistemological and historical antecedents of the prevalent stereotype surrounding the swimming pool
Upsetting the Controls: Considering Controllerist Practice in Computer Music Performance
Controllerism is an emerging digital music performance practice derived from turntablism. Despite its roots in studio performances and evolution alongside live coding, controllerism has yet to gain widespread recognition as a legitimate musical instrument practice. Through examples of controllerist performances and comparisons with live coding, the chapter interrogates the role of human performers interfacing with software. It addresses the cultural shift from analogue to digital in DJ practices and discusses the challenges controllerism faces in gaining broader acceptance. The chapter presents a series of provocations for further research to authenticate controllerism as a legitimate music practice, such as the development of a common language of performance and the creation of ergonomic, and culturally relevant interfaces. As such, this research aims to bridge the gap between traditional electronic music performance practices and digital innovation
Playfulness and Reciprocal Development in Creative Thinking Processes and Academic Skills Among Kindergarten Children
This study examined the bidirectional relationship between kindergarten children’s creative thinking processes and academic skills and how these factors were longitudinally related to their playfulness. The participants were 150 Hong Kong kindergarten children (52.7% boys; Time 1 age range = 4 to 5 years; Time 2 age range = 5 to 6 years) and their parents. At Time 1, the parents reported demographic information and rated children’s playfulness (social and cognitive spontaneity) by completing the questionnaire. In contrast, children were administered behavioral measurements of creative thinking processes (convergent and divergent thinking), Chinese word reading, and mathematics skills (forward counting, backward counting, number word comparison, arithmetic addition, and arithmetic subtraction). One year later, at Time 2, children completed the same behavioral assessments again. Results from a path analytic model revealed that the indirect relationship between playfulness at Time 1 and mathematics at Time 2, mediating through creative thinking processes at Time 1, was positive and significant. Moreover, children’s creative thinking processes and mathematics skills reciprocally predicted each other across Times 1 and 2. These findings suggest that playful kindergarten children might develop better creative thinking processes that further support their academic skills. Furthermore, their creative thinking processes and mathematics skills might co-develop in the early years. Practically, the results highlight the utility of encouraging children’s playfulness and implementing play-based mathematics activities in daily schedules to shape their early creativity and academic skills
Genocide and Modernity: An Introduction to Postcolonial Genocide
This chapter explores the importance of the concept of modernity for further development of the field of genocide studies. Modernity is here defined as a capitalist world system, which is subject to economic shocks, struggles over resources and oppressive power dynamics on the global scale. It is only in this high tension, high-stakes profit-oriented context that commodification of human life and annihilation of indigenous groups who lay claim on resources and land, can take place. Genocide is here seen as at the very heart of the modern world system, which is born out of several key historical moments, including the colonisation of the Americas, the transatlantic slave trade and the scramble for Africa. But rather than merely a timeframe, modernity is also a crucial element in the genocidal ideology of the
colonising project, a line that distinguishes lives worth living from those that are not. The colonially imposed racial identity categories which persist in many former colonies, both in the public memory and in the bureaucratic and legal systems, have been shown to play a crucial
part in post-colonial genocides. For this reason, it is essential that genocide theorists embrace coloniality as a broader concept, which persists in various shapes after the end of colonialism stricto sensu and recognise its links with the modern project and the political economy it is
based on
Colon Cancer Survival Prediction from Epithelium Nuclei Morphological Features Within Histology Slides Using Deep Learning
Whole slide images (WSIs) are rich in prognostic information that can be quantified by means of deep learning and computer image analysis algorithms. In this study, we train a tissue classification network and a nuclei segmentation network. Then we use these models to process colon cancer patient cohort in order to evaluate the prognostic value of a risk index computed using morphological features for epithelium nuclei found in a tumour region to patient overall survival (OS). First, Convolutional Neural Networks (CNNs) were used to segment tissues in WSIs in a patch-wise approach. A tumour region is then localised in order to segment and classify the nuclei using U-Net segmentation network. Finally, we extract morphological features from the epithelium nuclei to predict patient OS. The generated risk index was shown to be significant to patient survival in a univariate and multivariate Cox analysis