A molecular approach to metal oxides allows to the study to fundamental bonding and formation behavior for such metals. Moreover, the molecular nature of such oxides or metal-oxo clusters allows the possibility of exploitation of the properties of the parent oxides. The tetravalent metals, in specific, (M=Zr, Hf, Ce, Th,...
Advanced machine learning algorithms have the potential to be successfully applied to many areas of system modelling. In the present study, the capability of ten machine learning algorithms to predict the structural damage of an 8-storey reinforced concrete frame building subjected to single and successive ground motions is examined. From...
Information about named entities (real-world objects) is usually harvested from different sources and organized as a multiple relational directed graph in Knowledge Bases (KBs). KBs play essential roles in many NLP modules including question answering, fact-checking, search engines, etc. KBs are big but still incomplete: relational information among entities is...
Per- and polyfluoroalkyl substances (PFAS) are a group of contaminants of great concern due to their toxicity and ubiquity in the environment. Remediation efforts historically have focused on granular activated carbon (GAC) because of its low maintenance and relatively low cost. However, GAC is not PFAS selective and is especially...
The S-domain subfamily of receptor-like kinases (SD-RLKs) in plants is poorly characterized and the majority of genes have unknown functions. The goal of this study was to study the expansion of rice (Oryza sativa) SD-RLK subfamily, and characterize gene and protein structure and expression of its members using publicly available...
Wildfires are increasing in frequency. One area of research interest centers on the pollutants within wildfire smoke, including but not limited to particulate matter and polycyclic aromatic hydrocarbons. These chemicals are associated with exacerbation of respiratory, cardiovascular, dermatological, reproductive, oncological, gastrointestinal, and infectious conditions. As wildfires becoming increasingly prevalent, it...
Clos-based network topologies have been deployed in production data center networks to provide multiple path alternatives between the pairs of network hosts. Production data centers operate under varying traffic dynamics and topological asymmetry. Therefore, a good load balancing scheme must adapt to network conditions and dynamics in real-time and intelligently...
We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
The European hazelnut (Corylus avellana L.) is a tree nut crop that is important in Oregon, which produces 99% of the United States’ hazelnuts but only 5% of the world’s supply. In order to maintain this market share, farmers in Oregon need cultivars that produce high quality nuts, mature early,...
Ultrafast spectroscopy has recently gained momentum as a powerful, noninvasive characterization toolset capable of studying a diverse array of samples with applications in chemistry, physics, biology, engineering, and more. Two popular ultrafast spectroscopic techniques include femtosecond transient absorption (fs-TA) and femtosecond stimulated Raman spectroscopy (FSRS). The latter of these techniques...