To utilize energy resources as efficiently as possible has
become a necessity today. The purpose of this study is to see
how this can be done by extending burnup in a light water reactor.
Specifically, an in-out refueling scheme might extract the maximum
energy from nuclear fuel during its redidence...
Compared to conventional amorphous silicon (a-Si) TFTs, amorphous metal oxide TFTs have superior device performance such as
higher mobility, better sub-threshold swing, and lower off-state current. Amorphous metal oxide TFTs have an additional advantage
on the device uniformity due to the lack of grain boundary issues in the poly-Si TFTs....
Bullying prevents its targets from enjoying a safe, stress-free living, learning, and working environment. For most children, bullying experiences will be merely unpleasant childhood memories. This remains the same in adult's working environment. During the past decade, the concept of workplace abuse has had an increasing resonance within western countries....
A study on the cellular differentiation of the gill structure in
juvenile coho salmon (O. kisutch) with emphasis on the excretion of
monovalent ions was performed upon animals maintained under both
seawater and freshwater environments.
1. The excretion rate of sodium-24 was observed to be higher
for animals adapted to...
Organismal development requires a precisely orchestrated transcriptional program to correctly deploy genetic information into the genome. This process requires sophisticated gene regulatory networks at multiple spatial and temporal levels from early embryonic development to adult physiological conditions. Molecular differences that define cell types are set up during the pattern formation...
Object categorization is one of the fundamental topics in computer vision research. Most current work in object categorization aims to discriminate among generic object classes with gross differences. However, many applications require much finer distinctions. This thesis focuses on the design, evaluation and analysis of learning algorithms for fine- grained...
Most tasks in natural language processing (NLP) involves structured information from both input (e.g., a sentence or a paragraph) and output (e.g., a tag sequence, a parse tree or a translated sentence). While neural models achieve great successes in other domains such as computer vision, applying those frameworks to NLP...
Automatic music transcription (AMT) is the task, given an acoustic representation of music, to recover a symbolic notation of the written notes expressed by the sound. Transcribing music with multiple notes sounding simultaneously is difficult for both humans and machines. Much existing work on AMT has focused on suitable acoustic...
Machine learning models for natural language processing have traditionally relied on large numbers of discrete features, built up from atomic categories such as word forms and part-of-speech labels, which are considered completely distinct from each other. Recently however, the advent of dense feature representations coupled with deep learning techniques has...