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 17 of 17 for “"PLMS"”.
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The Public Land Manager in Collaborative Conservation Planing: A Comparative Analysis of Three Case Studies in Montana
… can be greatly affected by these factors. As PLMs become more engaged in these collaborative planning endeavor a better understanding is needed of the roles they play in such efforts. Therefore, this study investigates the various roles PLMs play in CCP in the context of three different …
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The Public Land Manager in Collaborative Conservation Planing: A Comparative Analysis of Three Case Studies in Montana
… can be greatly affected by these factors. As PLMs become more engaged in these collaborative planning endeavor a better understanding is needed of the roles they play in such efforts. Therefore, this study investigates the various roles PLMs play in CCP in the context of three different …
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Data-Efficient Bilingual Lexicon Induction with Pretrained Language Models
… shifts towards pretrained language models (PLMs), we investigate leveraging PLMs for BLI. Firstly, we propose a two-stage contrastive learning framework, combing cross-lingual word embeddings (CLWEs) mapped from static embeddings and those extracted from PLMs, both learned with contrastive …
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Modeling the hydrologic and particulate loadings from paved urban surfaces
… significant model error could be introduced into PLMs when the median diameter particle was used to estimate the number of particles per interval, but the SSE of continuous PLMs could be significantly reduced through the use of correction factors when the sieve interval was large (P<0.05). …
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Harnessing Deep Learning with Protein Language Models to Unveil Microbial Enzyme Function in Health and Disease
… diverse functions. Protein language models (pLMs), such as those used for structural prediction and other tasks, demonstrate remarkable capabilities in decoding the intricate amino acid language of proteins, which facilitates their functional annotation through a distinct approach compared to …
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Learning the Language of Antibody Hypervariability Through Biological Property Prediction
Machine learning-based protein language models (PLMs) have proven to be successful in a variety of structure and function-prediction contexts. However, foundational PLMs (those trained on the corpus of all proteins) rely on evolutionary co-conservation of protein sub-sequences, but this …
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Investigating the link between depression and restless legs syndrome: a controlled comparison of mood and motor restlessness in restless legs syndrome, with primary insomnia and good sleeper controls
… to measure Periodic Leg Movements during Sleep (PLMS) over 3 nights at home – an objective measure of RLS severity. Results: The groups did not differ on demographic data except for age which was added as a covariate to further analyses. The RLS group had higher levels of negative affect …
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Diagnosis for Patient and GP: Dialogue-based Self-Diagnosis with Disease-Symptoms Graph and Referral Letter Classification
… with encoder- based pre-trained language models (PLMs) and multiple-choice question-answering with LLMs. To address the challenge of lim- ited training datasets, this thesis harnessed ChatGPT’s text- generation capabilities to augment data effectively. The findings revealed that encoder-based …
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Protein Function Prediction Using Graph Convolutional Network
… by integrating protein language models (PLMs) and graph convolutional networks (GCNs), addressing the limitations of traditional methods that rely heavily on sequence similarity. The proposed model leverages diverse protein features, including sequences, protein-protein interaction (PPI) …
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Exploring the relationship between multimodal magnetic resonance neuroimaging and cognitive outcomes in children: applying machine learning algorithms to brain MRI features to predict cognitive scores and performance categories of children living with and without HIV
… performance of penalised linear models (PLMs), support vector machines/regression (SVM/R), and de-cision tree ensembles (DTEs) in predicting continuous scores on cognitive tests, as well as categories of cognitive performance from multimodal neuroimaging in a cohort com-prising both …
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Intelligent dialog agent modeling in human-centered artificial intelligence applications
… deep learning and pre-trained language models (PLMs), dialog systems have shown impressive performance in various downstream natural language processing tasks for the purposes of providing confidence in human decision making in real-world applications. Despite the recent success, traditional …
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Genomic Language Models for Protein Function and Property Prediction
… gLMs are competitive and even outperform their pLMs counterparts on some tasks and that they perform best using the curated true coding sequences over alternative codon sampling strategies. We perform a series of experiments to find interpretable explanations for gLM performance, and investigate …
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A Study on the Application of Natural Language Processing Methods to Scientific Text
… that leverages pre-trained language models (PLMs) to improve performance while reducing training time and labelled data requirements. Additionally, I demonstrate that a generative approach to IE can match or exceed the performance of existing discriminative methods while being more flexible. …
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Structure-property relationships in polymeric materials via advanced rheological and neutron scattering techniques
… with a model system of polymer-like micelles (PLMs), where we unveil a sequence of microscopic events that micelles experience under dynamic shearing across a range of frequencies. The least-aligned state of the PLMs is observed to migrate from the total strain extreme toward zero strain with …
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TOWARDS AUTOMATED CONTRACT ANALYSIS: APPLYING LANGUAGE MODELS TO RISK IDENTIFICATION IN THE CONTEXT OF PUBLIC-PRIVATE PARTNERSHIPS
… transformer-based pre-trained language models (PLMs) and cutting-edge large language models (LLMs), there has been a significant breakthrough in the efficiency of processing and extracting information from textual data. Motivated by both the pivotal yet complicated nature of contract documents …
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Rotational Grazing and Greenhouse Gas Reductions: A Case Study in Financial Returns
Agricultural conservation practices can have a vast number of environmental benefits but adoption of these practices may not be widespread. If farm operators are able to reap financial returns for environmental services, adoption of these conservation practices could increase. One source of …
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Financial Performance of Pasture-Based Dairies: A Virginia Case Study
Virginia dairy producers are considering intensive grazing as a profitable and ecologically viable alternative to confinement dairy production. The objective of this study is to compare financial performance for pasture-based dairy farms relative to similar resourced-based confinement farms. …