Blue light exposure has been on the rise over the past several years as artificial light in the form of light emitting diodes (LEDs) have been increasing. These LEDs emit predominantly blue light through TVs, computer monitors, smartphones, tablets etc. Previous research in our lab determined that blue light accelerated...
Microtubules (MT) are highly dynamic cylindrical-like structures within cells whose growth is controlled by motor proteins, a class of biological machines that walk along the MT while simultaneously regulating MT growth. Here we are interested in the behavior of kinesin-14 motor proteins. Although processive behavior of kinesin-14 motors has been...
RNAseq data among copepods (Calanus pacificus) were sampled and analyzed in relation to oceanographic and climatic conditions to determine if new information derived from such an approach might assist applications that use copepods as ecosystem indicators to predict fishery yields. These samples were taken as part of long-term studies conducted...
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...
Pseudomonas is a diverse, ubiquitous, and widely studied genus of bacteria. As Pseudomonas species occupy a wide range of niches in the ecosystem, they have made remarkable biological impacts. Better understanding of Pseudomonas biology, genetic diversity, and functional interactions with other organisms and the environment will provide valuable insights into...
Our goal is to build a system to model the RNA sequences that reveals their structural information by using efficient dynamic programming algorithms and deep learning approaches. We aim to 1) achieve linear-time for RNA secondary structure prediction based on existing minimum free energy models; 2) utilize deep neural networks...
Coded metrics that compare representations of structures within the human body to evaluate their similarity are considered useful for planning radiation therapy on cancer targets. However, existing metrics fail to take into account the dose of radiation that will be received by both the target, and surrounding non-target tissue, during...
Rice is an important crop that feeds almost half the world population. As climate change models predict floods, drought and extreme temperatures in rice production areas, the need to better understand the genetic basis of adaptation and tolerance to abiotic and biotic stresses is vital to sustain our food supply....
Earthquakes are complicated processes varying in time, space and magnitude. The occurrence of a major earthquake event called mainshock is preceded and followed in time by diminishing seismic activities known as foreshocks and aftershocks respectively. The process of identifying mainshocks, aftershocks, and foreshocks in a given earthquake catalog is known...
Tethering fluorophores on metal nanoparticles for metal enhanced fluorescence (MEF) has attracted a lot of attention from scientists interested in fluorescence based approaches. MEF has many benefits in fluorescence related techniques, because the analytical signal increases and enables potentially lower detection limits or better sensitivity. Many types of nanoparticles have...