Taiwan has undergone significant social change, particularly in the last forty years, due to economic and industrial growth. Career development intervention is increasingly urgent in helping students face upcoming challenges. This study investigates the implementation and perceived helpfulness of career development interventions in Taiwanese comprehensive high schools. A total of...
Vibriosis caused by the bacterial pathogen Vibrio tubiashii is one of several factors contributing to mass larval mortalities of the Pacific oyster (Crassostrea gigas) in Pacific Northwest shellfish hatcheries in recent years. Genetically improved strains of the Pacific oyster resistant to V. tubiashii would be highly desirable. This study investigates...
Some important factors that affect the dimensional
control of oxide films on silicon were studied. Both N- and
P-type silicon with resistivities in the range of
0.014 to 200 ohm-cm and a (111) surface orientation
were employed in this experiment. The etching rates of
silicon dioxide in hydrofluoric acid (111)...
Machine learning has enabled significant advancements in diverse fields, yet, with a few exceptions, has had limited impact on computer architecture. Recent work, however, has begun to explore broader application to design, optimization, and simulation. Notably, machine-learning-based strategies often surpass prior state-of-the-art analytical, heuristic, and human-expert approaches. This thesis first...
Compactness in deep learning can be critical to a model’s viability in low-resource applications, and a common approach to extreme model compression is quantization. We consider Iterative Product Quantization (iPQ) with Quant-Noise [Fan et al., 2020] to be state-of-the-art in this area, but this quantization framework suffers from preventable inference...
Objective: To perform a systematic review and meta-analysis on the prevalence rate of mental health disorders including anxiety, depression, and insomnia during the COVID-19 pandemic in Eastern Europe in the general population, as well as within select sub-populations (i.e., students, general healthcare workers, and frontline workers).
Data sources: Articles in PubMed,...
Various natural language processing (NLP) tasks necessitate deep models that are fast, efficient, and small based on their ultimate application at the edge or elsewhere. While significant investigation has furthered the efficiency and reduced the size of these models, reducing their downstream latency without significant trade-offs remains a difficult task....
Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
The Machine Learning (ML) algorithms are increasingly explored in varies of fields including designing and optimizing computer systems. Recent research, such as optimizing memory/cache prefetching by ML training or predicting traffic pattern in throughput processors, also exhibits a promising future of introducing ML into computer system design and optimization. Throughput...