This research develops an object-oriented approach of modeling microprocessor architecture. A generic modeling library, bBlocks, is proposed as a framework for constructing microprocessor simulation. bBlocks is a collection of predefined abstract components (blocks) implemented in Java, the object-oriented programming language. Blocks are defined and used as the basic components in...
Kappa-casein glycomacropeptide (CMP), a 64-amino-acid peptide, is released from kappa-casein after rennet treatment and is one of the major peptides in whey protein isolate (WPI). CMP has anti-inflammatory and antibacterial activities. CMP has two major amino acid sequences with different modifications including glycosylation, phosphorylation and oxidation. However, no previous work...
Pesticides benefit agriculture by increasing crop yield, quality, and security. However, pesticides may inadvertently harm bees, which are valuable as pollinators. Thus, candidate pesticides in development pipelines must be assessed for toxicity to bees.
Leveraging a data set of 382 molecules with toxicity labels from honey bee exposure experiments, we...
The need for less toxic quantum dots (QDs) has led to a significant number of investigations related to copper indium sulfide (CIS) QDs. Lower toxicity and broad band absorbance width makes CIS QDs appealing for light emitting diodes (LEDs), lasers, sensors, bio-imaging, solar cells, and computing. The optical and electronic...
Mountain search and rescue is a vital form of emergency response to assist people in austere environments (e.g., extreme terrain, poor weather). Volunteer mountain search and rescue teams in the United States have begun adopting consumer- grade unmanned aerial vehicles to assist a variety of tasks (e.g., search, resource delivery);...
Cyanobacterial harmful algae blooms (cyanoHABs) are a growing concern worldwide due to damage of ecosystems and threats to human health. Previous research indicates that plant humics from aquatic and wetland vascular plants are effective inhibitors of cyanobacterial metabolism and growth and may be useful as control agents for mitigating cyanoHABs....
With the success of the CounterDataFlow Pipeline microarchitecture developed by Oregon State University, there is increasing demand for a highly flexible high-level simulator modeling tool to support the further expansions and studies of the Counterflow pipeline processors family. This work examines the implementation of a Java-based execution-driven simulator modeling tool,...
In the past two decades, the advancement in data collection and storage have led to the accumulation of complex datasets. Consequently, various industries have sought data-driven solutions to predict and detect anomalies. Temporal patterns have emerged as potential features in prediction models that could improve the performance of the identification...
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...