In this thesis, we introduce a novel Explanation Neural Network (XNN) to explain the predictions made by a deep network. The XNN works by embedding a high-dimensional activation vector of a deep network layer non-linearly into a low-dimensional explanation space while retaining faithfulness i.e., the original deep learning predictions can...
Simultaneous speech translation (SimulST) is widely useful in many cross-lingual communication scenarios, including multinational conferences and international traveling. Since text-based simultaneous machine translation (SimulMT) has achieved great success in recent years. The conventional cascaded approach for SimulST uses a pipeline of streaming ASR followed by simultaneous MT but suffers from...
Hop (Humulus lupulus L. var. lupulus) is a diploid, dioecious plant with an extensive history of cultivation and use in brewing, as a textile, and for its therapeutic properties. Hop is prized for its ability to produce a variety of aromatic and flavor compounds, as well as compounds with anti-microbial...
As the global demand for natural resources increases, more land will be intensively managed for the production of commodities such as timber, with potential consequences to biodiversity, ecological functioning and ecosystem services provided to society. Although there is strong consensus that intensive land management practices can negatively affect biodiversity, less...
In order to assist WAC/WID practitioners and science writing faculty in incorporating translingual perspectives in disciplinary writing instruction, this study extends translingualism to language practice in the sciences by conducting a corpus study of Al-Awamia, a Moroccan agronomic journal. Mapping rhetorically significant changes across abstracts authored in English, French, and...
Intensive sampling of the deep Mediterranean outflow 70 km W of the Strait of Gibraltar reveals a strong, tidally modulated gravity current embedded with large-amplitude oscillations and energetic turbulence. The flow appears to be hydraulically controlled at a small topographic constriction, with turbulence and internal waves varying together and increasing...
Systems biology is a powerful approach which considers and sheds light on all of the puzzle pieces which make up complex biological processes, and is an effective alternative to unraveling these processes using traditional molecular approaches alone. It is a natural companion approach for computational biology, which leverages the power...
Translation of efficacious programs into real-world settings is an important step in ensuring improved public health outcomes. Yet, the process of translating evidence-based interventions (EBIs) according to fidelity is fraught with challenges. Organizational factors, specifically organizational communication, have been shown to influence translation processes.
To date, there is limited research...
In this report, three studies are presented that utilize computations to predict transformations, identities, and properties of environmental organic molecules. Each study shows how computations can lead to models of chemical behavior. The importance of this research is rooted in the need for understanding how human behavior and health intersect...
The past decade of research has potentiated a revolution in our understanding of mammalian health and evolution by revealing that the gut microbiome plays a central role in mammalian physiology. Our ability to unlock this potential hinges upon the identification of specific groups of gut microbes that elicit effects on...