With the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media. Understanding how... Show moreWith the emergence of online social networks (OSNs), the way people create and share information has changed, which becomes faster and broader than traditional social media. Understanding how information (both good and harmful) spreads through OSNs, as well as what elements drive the success of information diffusion, has significant implications for a wide range of real-world applications. In this thesis, we conduct research to analysis the diffusion of information in OSNs via using deep representation learning. Specifically, we aim to develop deep learning- based models to solve two specific tasks, i.e., information cascades modeling and rumor detection. Show less
This thesis consists of five chapters on how to construct prediction sets for different types of data and models in a parametric or nonparametric Bayesian paradigm. The motivation of the models... Show moreThis thesis consists of five chapters on how to construct prediction sets for different types of data and models in a parametric or nonparametric Bayesian paradigm. The motivation of the models comes from applications in pharmaceutical manufacturing and quality control. Show less
The focus throughout this thesis will be on gathering fundamental studies of the detailed structure and composition of the electrode/electrolyte interface effect on the rate and mechanism of key... Show moreThe focus throughout this thesis will be on gathering fundamental studies of the detailed structure and composition of the electrode/electrolyte interface effect on the rate and mechanism of key electrocatalytic reactions. The first part (Chapter 2 and 3) of this PhD thesis is about the studies of the non-Nernstian dependence on pH of the step-related voltammetric peak on platinum surface. The combined experimental and computational studies prove the existence of the co-adsorbed alkaline metal cation (Li, Na, K, and Cs) and hydroxyl at step sites of a platinum electrode. The co-adsorbed alkaline metal cation weakens the hydroxyl adsorption which yielding the anomalous non-Nernstian dependence on pH of the step-related “hydrogen peaks”. The second part starts from Chapter 4 changes first to the study of adsorption processes on a Pd monolayer-modified Pt(111) surface. Chapter 5 deals with the mechanism of electrocatalytic oxidation of formic acid and reduction of carbon dioxide on this Pd monolayer-modified Pt(111) electrode. The work in Chapter 6 explores the effects of electrolyte composition and catalysts surface structure on formic acid oxidation reaction. Show less
By investigating the interaction between different types of nucleases (i.e. nicking versus cleaving), donor DNA structures and target chromatin environments, this thesis provides important insights... Show moreBy investigating the interaction between different types of nucleases (i.e. nicking versus cleaving), donor DNA structures and target chromatin environments, this thesis provides important insights into how to improve the three crucial parameters of genome editing: efficiency, specificity and fidelity. The work presented in this thesis expand the range of possibilities for high-fidelity genetic manipulation of human cells. Show less
The GABAergic system has been implicated in the pathogenesis of various anxiety disorders. Pharmacological treatments, like benzodiazepines, have been proven to target the GABA(A) receptors and... Show moreThe GABAergic system has been implicated in the pathogenesis of various anxiety disorders. Pharmacological treatments, like benzodiazepines, have been proven to target the GABA(A) receptors and exert quick-onset anxiolytic effect in anxiety patients. However, the side effects of these non-selective GABA(A)ergic compounds, such as sedation, postural imbalance, or potential abuse, limit their use for clinical anxiolysis. Based on the understanding of benzodiazepines’ mechanism of action, the emergence of α2,3 subtype-selective GABA(A) modulator is expected to provide a novel pharmacological approach that alleviates anxiety symptoms but spares the common undesired side effects. Most of these compounds are still in early clinical development, in which stage proof-of-mechanism studies are usually performed in healthy volunteers. The findings from our studies consistently present a similar pattern in the pharmacodynamic effect profiles of the α2,3 subtype-selective GABA(A) modulators versus those of the non-selective full GABA(A) agonist, lorazepam. Future application of anxiogenic symptom provocation models that combine subjective measurements and/or neuroendocrine biomarker assays may provide further construct validity for clinical anxiolytic effects of α2,3 subtype-selective GABA(A) modulators. Also, such findings are expected to provide insights into the translation of preclinical pharmacological properties of α2,3-subtype-selective GABA(A)ergic compounds to clinical effects in anxiety patients through human pharmacology studies. Show less
