Topology optimization (TO) is a mathematical method to find the optimal size, shape and connectivity of a domain under specified conditions, and has had many applications in engineering design. However, challenges remain in realizing TO as an effective design tool for many design situations. Uncertainty is ubiquitous in nature and...
Iterative algorithms are simple yet efficient in solving large-scale optimization problems in practice. With a surge in the amount of data in past decades, these methods have become increasingly important in many application areas including matrix/tensor recovery, deep learning, data mining, and reinforcement learning. To optimize or improve iterative algorithms,...
In supervised learning, label information can be provided at different levels of granularity. For small datasets, it is possible to acquire a label for each data instance. However, in the big-data regime, this fine granularity approach is prohibitively costly. For example, in semi-supervised learning, only a limited number of samples...
The global demand for food is expected to double by 2050, presenting a need that is complicated by the many interrelated of pressures on the world’s natural resources from climate change, growing urban populations, and increasing development. As one of the fastest growing food production sectors, aquaculture is poised to...
Periodic determinations of plasma hormone levels suggested that changes in interrenal activity are unrelated to changes in thyroidal or gonadal activity during development (smoltification) of juvenile coho salmon (Oncorhynchus kisutch). Moreover, in an experiment where fish were reared under various conditions of crowding and water inflow rate, it appeared that...
This project discusses the topic of personal names and the cultures of different
peoples and their particularities, specifically in Vietnam and Denmark. The first part of
this paper gives a brief history of naming traditions (mostly relating to Western European
traditions). The second part of the paper compares two families...
The utility of high-throughput, computational screening has become an invaluable asset to the field of materials science. In the hierarchy of computational methods, the most accurate methods are often the most computationally expensive. However, as both the efficiency and fidelity of numerical techniques advance, high-quality screening of large materials datasets...
In weak supervision learning, label information can be provided at different levels of granularity. For example, in multi-instance multi-label learning, samples are organized into bags and labels for each class are provided at the bag level. For small datasets, this approach offers means of reducing the labeling efforts. However, in...
Research strongly suggests non-articulation is an effective indication of the reporting quality of both the cash flow statement (Gong et al. 2014) and income statement (Collins et al. 2015). I complete the financial reporting circle by examining the association between non-articulation and the reporting quality of the balance sheet, captured...