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Showing 1 to 11 of 11 for “"Interconnected components."”.

  1. Captive Audiences: Sound and the Senses in Civil War Prisons

    … treats smell, sound, and implicitly sight as interconnected components of a single constructed reality of suffering in the context of mid-nineteenth-century ideas about health and cleanliness. As component parts, smell and sound intersected at the experience of suffering, reinforcing and …

    south-carolina Repository record for Captive Audiences: Sound and the Senses in Civil War Prisons (opens in a new tab)

  2. Reflexive Composition: Bidirectional Enhancement of Language Models and Knowledge Graphs

    … other’s outputs. The framework consists of three interconnected components: (1) LLM2KG, where LLMs assist in the construction and updating of domain-specific knowledge graphs; (2) Human-in-the-Loop (HITL) validation, which supports structured expert review; and (3) KG2LLM, which conditions LLM …

    trento Repository record for Reflexive Composition: Bidirectional Enhancement of Language Models and Knowledge Graphs (opens in a new tab)

  3. Relationships between Household Economic Distress and Child Mental Health: Determinants, Mechanisms, and Interventions

    … United States. This dissertation includes three interconnected components. The first part used machine learning models to identify factors that predict household income and asset poverty across different levels. The second study examined how household economic distress influences child mental …

    wustl Repository record for Relationships between Household Economic Distress and Child Mental Health: Determinants, Mechanisms, and Interventions (opens in a new tab)

  4. Motion-robust Machine Learning Methods for Region-of-Interest Tracking and Selective Magnetic Resonance Imaging with External Shim Arrays

    … specific domain. The pipeline comprises three interconnected components, each addressed by a novel technique: fetal pose estimation and data augmentation with diffusion model, general optimization framework for selective imaging with time-varying shim array fields and self-supervised …

    mit Repository record for Motion-robust Machine Learning Methods for Region-of-Interest Tracking and Selective Magnetic Resonance Imaging with External Shim Arrays (opens in a new tab)

  5. How novice vocational education and training teachers learn to become teachers

    … the teaching role. In some sites, a trellis of interconnected practices that supported learning (PSLs) was developed. A trellis is made up of interconnected components that help support growth in a particular direction. In sites where a trellis of PSLs was developed, it provided greater support …

    uts Repository record for How novice vocational education and training teachers learn to become teachers (opens in a new tab)

  6. Body Perception and Body Dissatisfaction: A Longitudinal Examination of Body Image and Disordered Eating Symptoms

    … body dissatisfaction) are two distinct but interconnected components of body image. The relationship between body perceptions and disordered eating is poorly understood. The objective of this project was to examine body size perception and elucidate how it changes and relates to disordered …

    calgary Repository record for Body Perception and Body Dissatisfaction: A Longitudinal Examination of Body Image and Disordered Eating Symptoms (opens in a new tab)

  7. Exploring circadian rhythms, food intake, and their interactions in marine invertebrates

    … rhythms and energy metabolism are critical and interconnected components of animal physiology. Metabolic inputs like time of feeding modulate circadian clocks and behavioral and molecular rhythms. In turn, circadian clocks regulate metabolic processes, allowing animals to optimize energy usage …

    woods-hole Repository record for Exploring circadian rhythms, food intake, and their interactions in marine invertebrates (opens in a new tab)

  8. Systematic Development of Healthcare AI: From Data Curation, Algorithm Optimization, Benchmark Design and Clinical Applications

    … development of healthcare AI through four interconnected components: data curation, algorithm optimization, benchmark design, and clinical applications. The primary contribution of this thesis focuses on establishing a comprehensive pipeline for healthcare large language models (LLMs), …

    mit Repository record for Systematic Development of Healthcare AI: From Data Curation, Algorithm Optimization, Benchmark Design and Clinical Applications (opens in a new tab)

  9. Exploring circadian rhythms, food intake, and their interactions in marine invertebrates

    … rhythms and energy metabolism are critical and interconnected components of animal physiology. Metabolic inputs like time of feeding modulate circadian clocks and behavioral and molecular rhythms. In turn, circadian clocks regulate metabolic processes, allowing animals to optimize energy usage …

    mit Repository record for Exploring circadian rhythms, food intake, and their interactions in marine invertebrates (opens in a new tab)

  10. Topology optimization of multimaterial and multiscale structures beyond elasticity: brittle fracture and ductile plasticity

    … optimization. The dissertation comprises five interconnected components. It begins with the optimization of multiscale elastic systems, where structures are composed of prescribed building blocks conforming to specific frequency combinations. The framework employs data-driven approaches and …

    uiuc Repository record for Topology optimization of multimaterial and multiscale structures beyond elasticity: brittle fracture and ductile plasticity (opens in a new tab)

  11. A binary relation inference network for constrained optimization

    … problem sizes. The inference network consists of interconnected components; each component is composed of a unit, a number of sites attached to the unit, and links from the unit to sites on other units. Each unit is a simple computational engine. The topology of the inference network matches …

    ubc Repository record for A binary relation inference network for constrained optimization (opens in a new tab)