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The influence of additives on the delivery of paclitaxel from bioresorbable PLGA films
Published 2013“…The objective is to investigate the use of additives as a means to control and modulate the delivery of paclitaxel from PLGA thin films. The release profiles obtained from the first part of the study with different types of PLGA show linear dependence on the concentration of terminal carboxylic acid end-groups of PLGA, which also regulates the degradation of PLGA films. …”
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Thesis -
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Release retardation of model protein on polyelectrolyte-coated PLGA nano- and microparticles
Published 2014“…Although liposomes have received considerable attention with PEM coating for sustained drug release, similar results employing PEM built on poly(lactic-co-lycolic acid) (PLGA) particles is scant. In this work, we demonstrate that the build-up pH and polyelectrolyte pairs of PEM affect the release retardation of BSA from PLGA particles. …”
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Journal Article -
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Mathematical modelling of PLGA degradation using deterministic population balance model
Published 2009“…The degradation of Poly(lactic-co-glycolic acid) ,PLGA is one such type of polymer that has been the focus of many recent studies. …”
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Final Year Project (FYP) -
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Neuroimaging meta regression for coordinate based meta analysis data with a spatial model
Published 2024“…Coordinate-based meta-analysis combines evidence from a collection of neuroimaging studies to estimate brain activation. …”
Journal article -
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Control-oriented meta-learning
Published 2024“…Specifically, we meta-learn the adaptive controller with closed-loop tracking simulation as the base-learner and the average tracking error as the meta-objective. …”
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Article -
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Meta-Learning Frameworks for Imaging Applications /
Published 2023“…Meta-learning, or learning to learn, has been gaining popularity in recent years to adapt to new tasks systematically and efficiently in machine learning. …”
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software, multimedia -
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Meta-reinforcement learning in quantitative trading
Published 2022“…One technique used together with reinforcement learning to train an agent to adapt to new variations of tasks is deep meta-reinforcement learning (Meta-RL) (Wang, et al., 2017). …”
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Final Year Project (FYP) -
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Ultrasensitive LSPR meta-devices for biochemical sensing
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Thesis-Master by Coursework -
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A review of reporting quality in case-control studies of pancreatic cancer
Published 2020Subjects:Dataset -
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Meta-analysis of antecedents of information technology (IT) professionals turnover.
Published 2008“…Information Technology (IT) Professionals, Meta-analysis, Antecedents of turnover, Relationship to turnover, Role factors, Career factors, Work factors, Job factors, Demographic factors, Organizational Commitment…”
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Final Year Project (FYP) -
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Financial forecasting using meta-cognitive fuzzy neural networks
Published 2014“…The project tried to design a system to make investment decisions in the Stock Market using Type-2 Meta-Cognitive Fuzzy Neural Networks. Unlike simple learning mechanisms, meta-cognition attempts a selective learning approach. …”
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Final Year Project (FYP) -
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Meta-cognitive learning algorithm for neuro-fuzzy inference systems
Published 2014“…Similar to Nelson and Narens model of meta-cognition, McFIS consists of a cognitive and a meta-cognitive component. …”
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Thesis -
15
On the dynamic performance of additively manufactured visco-elastic meta-materials
Published 2024“…By combining the advantages of AM and EPU, enhanced and customized meta-materials can be created, surpassing the mechanical performance of traditional bulk materials. …”
Journal article -
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Doxorubicin-loaded cell-derived nanovesicles: an alternative targeted approach for anti-tumor therapy
Published 2017Subjects: “…Cell-derived nanovesicles…”
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Journal Article -
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Predicting traffic congestion evolution : a deep meta learning approach
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Conference Paper -
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The role of executive function in cognitive reappraisal: a meta-analytic review
Published 2024“…To address this issue, we conducted a meta-analysis of the literature in which 179 effect sizes from 59 independent samples (N = 4,703) were included. …”
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Journal Article -
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MISE: meta-knowledge inheritance for social media-based stressor estimation
Published 2025“…To this end, we cast the stressor estimation problem within a practical scenario few-shot learning setting, and propose a novel meta-learning based stressor estimation framework that is enhanced by a meta-knowledge inheritance mechanism. …”
Conference item