Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"GLIM"”.
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Næringarástand einstaklinga í þjónustu heimahjúkrunar á höfuðborgarsvæðinu
… greiningarviðmiðunum fyrir vannæringu (GLIM). Hluti hópsins (n=10) fékk heimsókn þar sem líkamssamsetningarmæling var framkvæmd auk þess sem stuttum spurningarlista var svarað. Niðurstöður: Samkvæmt skimunareyðublaði voru 73 (36,5%) einstaklingar sem eru í þjónustu hjá heimahjúkrun með …
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Computational phase imaging for biomedical applications
… named Gradient Light Interference Microscopy (GLIM), which is able to image through optically thick samples using low spatial coherence illumination. The key benefit of GLIM comes from a large numerical aperture of the condenser, which is 0.55 NA, about five times higher than that in SLIM. GLIM …
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Investigate the nutritional status, including body composition, of oncology patients attending an outpatient clinic at Groote Schuur hospital: a cross-sectional study
… Global Leadership Initiative on Malnutrition (GLIM) identifies and classifies malnutrition across different health care settings. Recently suggested cancer guidelines identified cancer cachexia using amended GLIM diagnostic criteria. With sarcopenia identification, there have been American, …
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Nutritional studies in ambulatory oncology patients: impact of malnutrition on survival, patient beliefs, debunking myths, and a novel targeted intervention to attenuate nutritional decline
… Global Leadership Initiative on Malnutrition (GLIM) criteria and overall survival in a large cohort (n=1405) of patients diagnosed with cancer. This is one of the largest studies to identify the reduced muscle mass phenotypic criterion using gold standard computed tomography (CT) scans, with …
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Gradient light interference microscopy for imaging strongly scattering samples
… modality Gradient Light Interference Microscopy (GLIM) as the image measures the gradient of the object’s scattering potential. To facilitate complex experiments, we develop a high-throughput acquisition software and propose several ways to analyze this new kind of data using deep convolutional …
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Dichotomous and polytomous item response model estimation using the marginal maximum likelihood and the EM algorithm
… Mixtures was applied to this dataset using GLIM. The Expectation-Maximization algorithm is an iterative algorithm for Marginal Likelihood Estimation in the presence of unobserved random variables, in this case represented by the respondents' latent traits.
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Some aspects of fitting multinomial models in a GLM framework
… in most statistical software, including GLIM and shows how to fit a multinomial logit model without recourse to the Poisson trick approach of Francis et al. (1992). The method given here also allows us to find the ‘hat - matrix’ as is needed in the calculation of leverages and Cook’s …
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Structural and functional heterogeneity of cells in the rat hippocampus
Memory is encoded in the structure and function of the hippocampus. The laminar structure and organization of information flow are well established. The dentate gyrus (DG) is the initial layer that receives and parses incoming signals. The signal is then transmitted to the CA3 and subsequently the …
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High throughput platform for multiscale quantitative phase imaging
Quantitative phase imaging (QPI) yields the spatial phase map of the object’s scattering potential. QPI has enabled unprecedented label-free studies in biomedicine, ranging from cell dynamics and growth to cancer diagnosis and prognosis. The field is currently transitioning from technology-driven …