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Configurational Field Analysis: a new approach to global field dynamics.

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Department of Social Sciences, Humboldt University of Berlin, Berlin, Germany.

This paper advances the theory of Configurational Field Analysis (CFA) as a reconfiguration of Pierre Bourdieu's field theory, aiming to address the limitations of Global Field Theory in analyzing the complexities of global and transnational phenomena. While the concept of the Global Field extended Bourdieu's ideas to transnational and global arenas, it has been critiqued for its structural determinism, Eurocentrism, and its inability to fully capture the fluid, indeterminate, and contingent nature of global social dynamics. In response, this paper introduces social configurations as dynamic, relational constructs that emerge from specific historical and contextual conditions, rather than as fixed and universal structures.

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J Mech Behav Biomed Mater

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Purpose: Exploring the computed tomography (CT), magnetic resonance imaging (MRI), and fluorodeoxyglucose positron emission tomography (FDG-PET)/CT Multimodal Imaging Characteristics of Desmoplastic Small Round Cell Tumor (DSRCT) to enhance the diagnostic proficiency of this condition.

Methods: A retrospective analysis was performed on clinical data and multimodal imaging manifestations (CT, MRI, FDG-PET/CT) of eight cases of DSRCT. These findings were systematically compared with pathological results to succinctly summarize imaging features and elucidate their associations with both clinical and pathological characteristics.

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The Health Sustainable Development Goal (SDG3) focuses on achieving universal healthcare coverage (UHC) through people-centered primary care and access to affordable high-quality healthcare services, medicines/vaccines, and specialized care professionals without undue financial stress. However, achieving UHC can be challenging if healthcare providers and patients cannot communicate meaningfully. Severe language barriers affect access to healthcare services.

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Performance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications. However, there is no single measure since each performance metric emphasizes a different classification aspect. Model selection procedures based on information criteria offer a quantitative measure that balances model complexity with goodness of fit, providing a better alternative to classical approaches.

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