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High Confidence Network Predictions from Big Biological Data
Biology functions in a most intriguing fashion, with human cells being regulated by multiplex networks of proteins and their dependent systems that control everything from proliferation to cell death. Notably, there are cases when these networks fail to function properly. In some diseases there are multiple small perturbations that push the otherwise healthy cells into a state of malfunction. These maladies are referred to as complex diseases, and include common disorders such as allergy, diabetes type II, and multiple sclerosis, and due to their complexity there is no universally defined approach to fully understand their pathogenesis or pathophysiology. While these perturbations can be mea...
Family and School Involvement in Multilingual Education and Heritage Language Development
This edited volume is a collection of studies guided by theoretical and practical interdisciplinary approaches to family and school involvement in multilingual education and heritage language development featuring contributors with expertise in applied linguistics, sociolinguistics, language policy and education. The authors of this volume discuss multilingualism and multiculturalism in various geographical areas, settings, and levels of education, from a theoretical and practical point of view. They present a wide variety of theoretical perspectives, teachers, and students’ views as well as other stakeholders such as policy makers, authorities and parents on family and school involvement in multilingual education and heritage language development.
Performance and Implementation Aspects of Nonlinear Filtering
Nonlinear filtering is an important standard tool for information and sensor fusion applications, e.g., localization, navigation, and tracking. It is an essential component in surveillance systems and of increasing importance for standard consumer products, such as cellular phones with localization, car navigation systems, and augmented reality. This thesis addresses several issues related to nonlinear filtering, including performance analysis of filtering and detection, algorithm analysis, and various implementation details. The most commonly used measure of filtering performance is the root mean square error (RMSE), which is bounded from below by the Cramér-Rao lower bound (CRLB). This th...
Sparse representation of visual data for compression and compressed sensing
The ongoing advances in computational photography have introduced a range of new imaging techniques for capturing multidimensional visual data such as light fields, BRDFs, BTFs, and more. A key challenge inherent to such imaging techniques is the large amount of high dimensional visual data that is produced, often requiring GBs, or even TBs, of storage. Moreover, the utilization of these datasets in real time applications poses many difficulties due to the large memory footprint. Furthermore, the acquisition of large-scale visual data is very challenging and expensive in most cases. This thesis makes several contributions with regards to acquisition, compression, and real time rendering of h...
Global carbon footprints
There is increasing public, media and policy interest in the concepts of carbon footprints and the emissions associated with international trade. Many wonder if our growing consumption of imported products offsets our gains in climate policy. A variety of publications suggest that emission reductions in rich countries are offset by increased imports; i.e. our national carbon footprint is growing while our territorial emissions are getting smaller. Some refute this claim stating that the methods and data are unreliable, while others acknowledge the issue but argue it is not important for climate policy. This report aims to dispel some myths about carbon footprints and trade-adjusted emission ...
