Bike sharing system requires prediction of bike usage based on usage history to re-distribute bikes between stations. In this study, original data was collected around Washington D.C. area in 2011 and 2012. Original data is processed by several feature engineering approaches based on analysis and understanding of the data. Ridge linear regression, support vector regression (εSVR), random forest...

Codon usage bias varies considerably among genomes and even within the genes of the same genome. In eukaryotic organisms, energy production in the form of oxidative phosphorylation (OXPHOS) is the only process under control of both nuclear and mitochondrial genomes. Although factors affecting codon usage in a single genome have been studied, this has not occurred when both interactional genomes...

Synonymous codon usage bias is an inevitable phenomenon in organismic taxa across the three domains of life. Though the frequency of codon usage is not equal across species and within genome in the same species, the phenomenon is non random and is tissue-specific. Several factors such as GC content, nucleotide distribution, protein hydropathy, protein secondary structure, and translational sele...

OPTIMIZER is an on-line application that optimizes the codon usage of a gene to increase its expression level. Three methods of optimization are available: the 'one amino acid-one codon' method, a guided random method based on a Monte Carlo algorithm, and a new method designed to maximize the optimization with the fewest changes in the query sequence. One of the main features of OPTIMIZER is th...

We propose distributed asynchronous algorithms for network coding in multi-source multicast networks with cycles. Our algorithms find an acyclic subset of connections between links, and set up a network code over these connections. They offer advantages in terms of link usage and coding complexity over previous distributed algorithms based on random coding, while requiring modest additional coo...

We describe a system for determining a random palette providing color juxtaposition in digital images, both synthetic and scanned. The result can be significantly increased visual richness and sophistication in color usage. The Generalized Impressionistic Texture Matrix Generator F. Kenton Musgrave Myeong Lim The George Washington University 20101 Academic Way Ashburn, VA 22011 (703) 729-8254 (...

We describe a uniformly fast algorithm for generating points ~x uniformly in a hypercube with the restriction that the difference between each pair of coordinates is bounded. We discuss the quality of the algorithm in the sense of its usage of pseudo-random source numbers, and present an interesting result on the correlation between the coordinates. ∗ [email protected] † [email protected]

This supplementary material illustrates the related descriptions, definitions, datasets, and experiment results of NSSRF. In addition, the limitation of NSSRF in terms of network size using five PPI networks to query the random forest regression (RFR) model is discussed. Moreover, the practical memory usage of NSSRF on the four real world datasets are illustrated in this supplementary manuscript.

BACKGROUND Children may benefit greatly in terms of safety and care coordination from the information sharing promised by health information exchange (HIE). While information exchange capability is a required feature of the certified electronic health record, we known little regarding how this technology is used in general and for pediatric patients specifically. METHODS Using data from an op...

We study optimal nonuniform pricing in a setting where a customer's demand at the start of a billing period contains a random variable whose realization becomes known by the end of the billing period. In this context, an optional calling plan is a tariff which the consumer must select based on his/her expectations about the random variable, whereas, under a tapered tariff, the consumer's choice...