Context: Regular physical activity has increasingly been recommended to promote human health and wellbeing. However, information on participation in physical activities by people with disabilities is relatively scarce. The aim of this article is to conduct a systematically review of studies on physical activity among people with disabilities in mainland...
Novelty detection plays an important role in machine learning and signal processing. This
project studies novelty detection in a new setting where the data object is represented as
a bag of instances and associated with multiple class labels, referred to as multi-instance
multi-label (MIML) learning. Contrary to the common assumption...
Remote sensing forest inventory gained increased attention in the last decade triggered by the decrease in the price of sensors and the explosion of data availability and formats. Evermore, the constant advances in the hardware processing the data emphasized the necessity to develop algorithms to extract forest relevant information from...
The profile of the inner-tubing gas pressure for a tubular membrane aeration system was quantified. The correlations among the overall volumetric oxygen transfer coefficient (k[subscript L]a), the inner-tubing pressure, the tubing tightness, and the gas throughput are experimentally analyzed. A mathematical model was developed to describe the underlying phenomena. The...
Irritable bowel syndrome (IBS) is a prevalent gastrointestinal disorder experienced by 10–15% of the global population, manifesting as chronic abdominal pain, bloating and inconsistent bowel habits. The search for effective treatments remains ongoing. One promising contender in this realm is kappa-casein glycomacropeptide (GMP), a milk-derived peptide. Its potential benefits stem...
Given the many significant roles that bacteria play in modern food manufacturing, it is crucial that we have a fundamental understanding of how bacterial communities assemble and behave in the food manufacturing environment. The focus of this dissertation was to investigate both the spatial and temporal distributions of microbial communities...
The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
Graphene is a promising material for applications in aqueous electrolyte environments. To explore the impact of such environments on graphene's electrical properties, we performed Hall bar measurements on electrolyte-gated graphene. Assuming a Drude model, we find that the room temperature carrier mobility in water-gated, SiO₂-supported graphene reaches 7000 cm²/Vs, comparable to...
The design of Faradaic battery electrodes that exhibit high rate capability and long cycle life equivalent to those of the electrodes of electrical double-layer capacitors is a big challenge. Here we report a strategy to fill this performance gap using the concept of Grotthuss proton conduction, in which proton transfer...