12,496 research outputs found

    Graduate Catalog of Studies, 2023-2024

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    Logical disagreement : an epistemological study

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    While the epistemic significance of disagreement has been a popular topic in epistemology for at least a decade, little attention has been paid to logical disagreement. This monograph is meant as a remedy. The text starts with an extensive literature review of the epistemology of (peer) disagreement and sets the stage for an epistemological study of logical disagreement. The guiding thread for the rest of the work is then three distinct readings of the ambiguous term ‘logical disagreement’. Chapters 1 and 2 focus on the Ad Hoc Reading according to which logical disagreements occur when two subjects take incompatible doxastic attitudes toward a specific proposition in or about logic. Chapter 2 presents a new counterexample to the widely discussed Uniqueness Thesis. Chapters 3 and 4 focus on the Theory Choice Reading of ‘logical disagreement’. According to this interpretation, logical disagreements occur at the level of entire logical theories rather than individual entailment-claims. Chapter 4 concerns a key question from the philosophy of logic, viz., how we have epistemic justification for claims about logical consequence. In Chapters 5 and 6 we turn to the Akrasia Reading. On this reading, logical disagreements occur when there is a mismatch between the deductive strength of one’s background logic and the logical theory one prefers (officially). Chapter 6 introduces logical akrasia by analogy to epistemic akrasia and presents a novel dilemma. Chapter 7 revisits the epistemology of peer disagreement and argues that the epistemic significance of central principles from the literature are at best deflated in the context of logical disagreement. The chapter also develops a simple formal model of deep disagreement in Default Logic, relating this to our general discussion of logical disagreement. The monograph ends in an epilogue with some reflections on the potential epistemic significance of convergence in logical theorizing

    Southern Adventist University Undergraduate Catalog 2023-2024

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    Southern Adventist University\u27s undergraduate catalog for the academic year 2023-2024.https://knowledge.e.southern.edu/undergrad_catalog/1123/thumbnail.jp

    Quantum Kolmogorov complexity and quantum correlations in deterministic-control quantum Turing machines

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    This work presents a study of Kolmogorov complexity for general quantum states from the perspective of deterministic-control quantum Turing Machines (dcq-TM). We extend the dcq-TM model to incorporate mixed state inputs and outputs, and define dcq-computable states as those that can be approximated by a dcq-TM. Moreover, we introduce (conditional) Kolmogorov complexity of quantum states and use it to study three particular aspects of the algorithmic information contained in a quantum state: a comparison of the information in a quantum state with that of its classical representation as an array of real numbers, an exploration of the limits of quantum state copying in the context of algorithmic complexity, and study of the complexity of correlations in quantum systems, resulting in a correlation-aware definition for algorithmic mutual information that satisfies symmetry of information property

    Routing schemes for hybrid communication networks

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    We consider the problem of computing routing schemes in the HYBRID model of distributed computing where nodes have access to two fundamentally different communication modes. In this problem nodes have to compute small labels and routing tables that allow for efficient routing of messages in the local network, which typically offers the majority of the throughput. Recent work has shown that using the HYBRID model admits a significant speed-up compared to what would be possible if either communication mode were used in isolation. Nonetheless, if general graphs are used as the input graph the computation of routing schemes still takes polynomial rounds in the HYBRID model. We bypass this lower bound by restricting the local graph to unit-disc-graphs and solve the problem deterministically with running time O(|H|2+log⁡n), label size O(log⁡n), and size of routing tables O(|H|2⋅log⁡n) where |H| is the number of “radio holes” in the network. Our work builds on recent work by Coy et al., who obtain this result in the much simpler setting where the input graph has no radio holes. We develop new techniques to achieve this, including a decomposition of the local graph into path-convex regions, where each region contains a shortest path for any pair of nodes in it

    Analysis and monitoring of single HaCaT cells using volumetric Raman mapping and machine learning

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    No explorer reached a pole without a map, no chef served a meal without tasting, and no surgeon implants untested devices. Higher accuracy maps, more sensitive taste buds, and more rigorous tests increase confidence in positive outcomes. Biomedical manufacturing necessitates rigour, whether developing drugs or creating bioengineered tissues [1]–[4]. By designing a dynamic environment that supports mammalian cells during experiments within a Raman spectroscope, this project provides a platform that more closely replicates in vivo conditions. The platform also adds the opportunity to automate the adaptation of the cell culture environment, alongside spectral monitoring of cells with machine learning and three-dimensional Raman mapping, called volumetric Raman mapping (VRM). Previous research highlighted key areas for refinement, like a structured approach for shading Raman maps [5], [6], and the collection of VRM [7]. Refining VRM shading and collection was the initial focus, k-means directed shading for vibrational spectroscopy map shading was developed in Chapter 3 and exploration of depth distortion and VRM calibration (Chapter 4). “Cage” scaffolds, designed using the findings from Chapter 4 were then utilised to influence cell behaviour by varying the number of cage beams to change the scaffold porosity. Altering the porosity facilitated spectroscopy investigation into previously observed changes in cell biology alteration in response to porous scaffolds [8]. VRM visualised changed single human keratinocyte (HaCaT) cell morphology, providing a complementary technique for machine learning classification. Increased technical rigour justified progression onto in-situ flow chamber for Raman spectroscopy development in Chapter 6, using a Psoriasis (dithranol-HaCaT) model on unfixed cells. K-means-directed shading and principal component analysis (PCA) revealed HaCaT cell adaptations aligning with previous publications [5] and earlier thesis sections. The k-means-directed Raman maps and PCA score plots verified the drug-supplying capacity of the flow chamber, justifying future investigation into VRM and machine learning for monitoring single cells within the flow chamber

    Graduate Catalog of Studies, 2023-2024

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    Functional balance at rest of hemispheric homologs assessed via normalized compression distance

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    Introduction: The formation and functioning of neural networks hinge critically on the balance between structurally homologous areas in the hemispheres. This balance, reflecting their physiological relationship, is fundamental for learning processes. In our study, we explore this functional homology in the resting state, employing a complexity measure that accounts for the temporal patterns in neurodynamics. Methods: We used Normalized Compression Distance (NCD) to assess the similarity over time, neurodynamics, of the somatosensory areas associated with hand perception (S1). This assessment was conducted using magnetoencephalography (MEG) in conjunction with Functional Source Separation (FSS). Our primary hypothesis posited that neurodynamic similarity would be more pronounced within individual subjects than across different individuals. Additionally, we investigated whether this similarity is influenced by hemisphere or age at a population level. Results: Our findings validate the hypothesis, indicating that NCD is a robust tool for capturing balanced functional homology between hemispheric regions. Notably, we observed a higher degree of neurodynamic similarity in the population within the left hemisphere compared to the right. Also, we found that intra-subject functional homology displayed greater variability in older individuals than in younger ones. Discussion: Our approach could be instrumental in investigating chronic neurological conditions marked by imbalances in brain activity, such as depression, addiction, fatigue, and epilepsy. It holds potential for aiding in the development of new therapeutic strategies tailored to these complex conditions, though further research is needed to fully realize this potential

    Information about cancer on the internet : comparative analysis of the institutional website of AECC, GEPAC and FEFOC

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    La búsqueda de información sobre salud en internet está asociada fundamentalmente al diagnóstico de una enfermedad del usuario o de un familiar y puede considerarse la primera fuente a la que acuden tras una consulta médica (Marín-Torres et al., isanidad.com, 2015; 2012; III Barómetro PIC, 2019; INE, 2019;). Las principales barreras para el acceso y uso de la eSalud (eHealth en su terminología inglesa) tienen que ver con la legibilidad del contenido y con una pobre usabilidad de los sitios (Cline y Haynes, 2001; Kim y Xie, 2017). A esto se suma en el contexto actual el enorme volumen de datos disponible en la red que hace imprescindible desarrollar protocolos de análisis que permitan a los usuarios identificar de un modo comprensible los sitios que ofrecen información de calidad tanto en sus contenidos como en su presentación. Esta investigación plantea un análisis de las páginas web corporativas de tres instituciones españolas de reconocido prestigio —y naturaleza diversa— en el ámbito de la divulgación y prevención del cáncer: la Asociación Española Contra el Cáncer, el Grupo Español de Pacientes con Cáncer y la Fundación para la Educación Pública y la Formación en Cáncer; abordando tanto la usabilidad como el tipo de información ofrecida, con el objetivo de conocer el estado de la información en la red sobre el cáncer en España y de identificar buenas prácticas en la comunicación sobre la enfermedad.The search for health information on the Internet is fundamentally associated with the diagnosis of a disease of the user or a relative and it can be considered the first source to which they come after a medical consultation(Marín-Torres et al., isanidad.com, 2015; 2012; III Barómetro PIC, 2019; INE, 2019;).The main barriers to the access and use of eHealth have to do with the readability of the content and with a poor usability of the sites (Cline and Haynes, 2001; Kim and Xie, 2017). Added to this, the enormous volume of data available on the network in the current context is what makes it essential to develop analysis protocols that allow users to identify in a comprehensible way the sites that offer quality information both in their content and in their presentation.This research proposes an analysis of the corporate sites of three Spanish institutions of recognized prestige -and diverse nature- in the field of cancer promotion and prevention: Asociación Española Contra el Cáncer, Grupo Español de Pacientes con Cáncer and Fundación para la Educación Pública y la Formación en Cáncer; addressing both the usability and the type of information offered, in order to know the status of online information on cancer in Spain and to identify good practices in comvbmunication about the disease
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