In this contribution we introduce to the topic of Random Variational Inequalities (RVI) and present some of our recent results in this field. We show how the theory of monotone RVI, where random variables occur both in the operator and the constraints set, can be applied to model nonlinear equilibrium problems under uncertainty arising from economics and operations research, including migration...

BACKGROUND Viral respiratory infections are among the most common reasons for hospitalization of children in the United States. Our objective was to compare molecular and conventional methods in a cohort of hospitalized children with and without symptoms of respiratory viral illness (RVI). METHODS We conducted a retrospective cohort study of infants and toddlers hospitalized between December ...

OBJECTIVE To evaluate the safety of the antimicrobial peptide, lactocin 160. METHODS Lactocin 160, a product of vaginal probiotic Lactobacillus rhamnosus 160 was evaluated for toxicity and irritation. An in vitro human organotypic vaginal-ectocervical tissue model (EpiVaginal) was employed for the safety testing by determining the exposure time to reduce tissue viability to 50% (ET-50). Hemol...

A number of data-intensive systems require using random hash-based indexes of various forms, e.g., hashtables, Bloom filters, and locality sensitive hash tables. In this paper, we present general SSD optimization techniques that can be used to design a variety of such indexes while ensuring higher performance and easier tunability than specialized state-of-the-art approaches. We leverage two ke...

FPAR (Fraction of Absorbed Photosynthetically Active Radiation) is a key parameter in the study on ecosystem function, crop growth monitoring, and so on, it is important to estimate FPAR accurately. Based on the analysis of measured corn hyperspectral and PAR data, the conclusions of this paper are: PCA approach can be used to distill hyperspectral information successfully, two principal compon...