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 20 of 53 for “"glmS"”.
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Computational studies of the self-cleavage mechanism in the glmS ribozyme
… interesting strategies for catalysis. The glmS ribozyme regulates the level of glucosamine-6-phosphate (GlcN6P) in bacteria by catalyzing a self-cleavage reaction. Namely, the GlcN6P bonds to the glmS ribozyme and triggers a cleavage of a phosphodiester bond at a certain position via a …
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Regulation der Synthese der Glukosamin-6-Phosphat Synthase GlmS in Escherichia coli durch das neuartige Protein YhbJ
… wird durch die Glukosamin-6-Phosphat Synthase GlmS katalysiert. Escherichia coli ist in der Lage, externe Aminozuckerquellen zu verwerten, und unter diesen Bedingungen ist die Aktivität von GlmS nicht essentiell. Für eukaryotische Organismen und Gram-positive Bakterien sind Mechanismen …
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Regulation of glucosamine-6-phosphate synthase synthesis by a hierarchical acting cascade composed of two small regulatory RNAs in <i>Escherichia coli</i>.
… Aminozuckerbiosynthese. In Escherichia coli wird GlmS zusammen mit dem Enzym GlmU im bi-cistronischen glmUS Operon kodiert. Während die enzymatische Aktivität von GlmU immer benötigt wird, braucht die Zelle GlmS nur dann, wenn keine externe Aminozuckerquelle zur Verfügung steht. Dennoch werden …
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Genomic Language Models for Protein Function and Property Prediction
… encoding proteins, genomic language model (gLMs) have the potential to model DNA, RNA and proteins. In spite of this, the performance of gLMs on proteins is largely unknown due to the lack of datasets pairing proteins with their true coding sequences. In this work, we curate five such coding …
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Regulatory RNAs at the Heart of Sugar Metabolism: New Mechanisms and Novel Discoveries
… manner. Interestingly, two unique elements, the glmS ribozyme and the eps-associated RNA (EAR), are missing the signature elements required for control of transcription termination or translation initiation. The latter mechanism is more commonly found in Gram-negative bacteria. Our objective is …
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Multivariate analysis of the effect of source and supply and carrier on processing and shipping times for issue priority group one requisitions
… (OLS) linear models, Generalized Linear Models (GLMs) and nonparametric methods to explore the structure of the historical requisition datasets. OLS linear models were found to be inadequate, but both the GLMs and nonparametric tests proved to be valid and yielded results from which inferences …
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Genetic studies on the region downstream of the unc operon of Thiobacillus ferroxidans
… The ORF2 was identified as the T ferrooxidans glmS gene encoding the amidotransferase, glucosamine synthetase (EC 2.6.1.16). The third open reading frame (ORF3) was found to have very good amino acid sequence homology to TnsA of transposon Tn7. Inverted repeats very similar to the imperfect …
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Generalized Linear Models with Nonignorable Missing Covariates
… an overview of generalized linear models (GLMs) for binary and count data with missing covariates when the missing data mechanism is nonignorable. We use the maximum likelihood method to estimate the parameters in GLMs. We study a set of ML estimating equations for fitting regression models …
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MINING SARS-COV-2 PHYLOGENETIC TREES TO ESTIMATE CIRCULATING INFECTIONS AND PATTERNS OF MIGRATION
… output and developed general linear models (GLMs) and Markov models to predict I and migration rates respectfully. I evaluated the models using validation data and veritable SARS-CoV-2 data. The GLMs formulated to predict I showed significant promise, especially when predicting when there …
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Translocación Bacteriana en trauma abdominal e infección posoperatoria
… como los ganglios linfáticos mesentéricos (GLMs) y a otros órganos internos. Hasta el momento no ha sido demostrada la asociación de infección posoperatoria y TB en pacientes con trauma. Métodos: Para detectar la TB se extrajeron y cultivaron GLMs de 36 pacientes llevados a laparotomía por …
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Spatial regression methods capture prediction uncertainty in species distribution model projections through time
… larger credible intervals for projections than GLMs. The accuracy of projections was similar between methods but the GLMMs better quantified projection uncertainty. Additionally, the GLMMs produced more conservative estimates of species range size and range size change than the GLMs. I conclude …
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Spatial regression methods capture prediction uncertainty in species distribution model projections through time
… larger credible intervals for projections than GLMs. The accuracy of projections was similar between methods but the GLMMs better quantified projection uncertainty. Additionally, the GLMMs produced more conservative estimates of species range size and range size change than the GLMs. I conclude …
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High-Dimensional Inference with Heterogeneous Data
… heterogeneous generalized linear models (GLMs). In a canonical model of heterogeneous regression known as 'Mixed Sparse Linear Regression', we bring novel evidence towards the existence of a statistical price to pay for computational efficiency. In the high-dimensional setting where the …
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Spatial Coupling for High-Dimensional Estimation
… starting with generalized linear models (GLMs). Recent work has precisely characterized the asymptotic minimum mean-squared error (MMSE) for GLMs with i.i.d. Gaussian sensing matrices. In many of these models, there is currently a significant gap between the MMSE and the performance of the …
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Plant Successional Patterns at Sperry Glacier Foreland, Glacier National Park, MT, USA
… I used two models, generalized linear models (GLMs) and Classification and Regression Trees (CARTs), to assess field and GIS-derived biophysical correlates (e.g., surface fragmentation, concavity, terrain variables, and solar irradiance with vegetative trends), followed by Kruskal-Wallis tests, …
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Actuarial Contributions to the Study of Health Insurance
… pricing models. I build a series of Gamma‑log GLMs for medical expenditures using the validated PAM‑13 and pre‑pandemic Hungarian data (n=779) alongside standard predictors (age, sex, education, income, region/settlement type, EQ‑5D‑5L, health and eHealth literacy). Across model variants, …
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Probabilistic Continual Learning using Neural Networks
… settings such as Generalised Linear Models (GLMs). We fix this in Chapter 5 with a method called Knowledge-adaptation priors (K-priors), a generalisation of FROMP and weight-priors that can be exact on GLMs. K-priors achieve quick and accurate adaptation across many adaptation tasks, …
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The effects of a marine reserve on galjoen (Dichistius capensis) at Cape Point, South Africa, and implications for the management of the recreational fishery
… habitat differences. General linear models (GLMs) were used to isolate the effect of area on the catch per unit effort (CPUE) as well as fork length, and a negative log-likelihood function was used to estimate the mortality rate and sex ratio for each area. CPUE increased significantly from …
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Estimating Pedestrian Crashes at Urban Signalized Intersections
… Specifically, generalized linear models (GLMs) are commonly used because they can model non-linear count data such as motor vehicle crashes. Regression models such as the Poisson, Zero-inflated Poisson (ZIP), and the Negative Binomial are commonly used to model crashes. Until recently very …
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Evaluating Population-Habitat Relationships of Forest Breeding Birds at Multiple Spatial and Temporal Scales Using Forest Inventory and Analysis Data
… variable between successive inventory cycles and GLMs to relate annual variations in bird abundance to the forest variables. At the BBS route scale, the CART models accounted for > 50% of the variation in bird presence-absence and abundance. The logistic regression models had sensitivity and …
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