166 research outputs found
Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing.
Malaria elimination strategies require surveillance of the parasite population for genetic changes that demand a public health response, such as new forms of drug resistance. Here we describe methods for the large-scale analysis of genetic variation in Plasmodium falciparum by deep sequencing of parasite DNA obtained from the blood of patients with malaria, either directly or after short-term culture. Analysis of 86,158 exonic single nucleotide polymorphisms that passed genotyping quality control in 227 samples from Africa, Asia and Oceania provides genome-wide estimates of allele frequency distribution, population structure and linkage disequilibrium. By comparing the genetic diversity of individual infections with that of the local parasite population, we derive a metric of within-host diversity that is related to the level of inbreeding in the population. An open-access web application has been established for the exploration of regional differences in allele frequency and of highly differentiated loci in the P. falciparum genome
Computation of Word Similarity Based on the Information Content of Sememes and PageRank Algorithm
Sentiment classification with syntactic relationship and attention for teaching evaluation texts
Underwater Source Localization Using TDOA and FDOA Measurements with Unknown Propagation Speed and Sensor Parameter Errors
Underwater source localization problems are complicated and challenging: a) the sound propagation speed is often unknown and the unpredictable ocean current might lead to the uncertainties of sensor parameters (i.e. position and velocity); b) the underwater acoustic signal travels much slower than the radio one in terrestrial environments, thus resulting into a significantly severe Doppler effect; c) energy-efficient techniques are urgently required and hence in favour of the design with a low computational complexity. Considering these issues, we propose a simple and efficient underwater source localization approach based on time difference of arrival (TDOA) and frequency difference of arrival (FDOA) measurements, which copes with unknown propagation speed and sensor parameter errors. The proposed method mitigates the impact of the Doppler effect for accurately inferring the source parameters (i.e. position and velocity). The Cramér-Rao lower bounds (CRLBs) for this kind of localization are derived and, moreover, the analytical study shows that our method can yield the performance that is very close to the CRLB, particularly under small noise. The numerical results not only confirm the above conclusions but also show that our method outperforms other competing approaches.Signal Processing System
TETRAPLOID BLACK LOCUST (ROBINIA PSEUDOACACIA L.) INCREASED SALT TOLERANCE BY ACTIVATION OF THE ANTIOXIDANT SYSTEM
Polyploid plants are reported to have strong tolerance to environmental stress. In this study, we investigated the effects of salt stress on the concentrations of salt ion, MDA, O-2(center dot-) H2O2, and the activities and isoenzymes of antioxidant enzymes (superoxide dismutase [SOD]), catalase [CAT], peroxidase [POD], and ascorbate peroxidase [APX]) in diploid and tetraploid Robinia pseudoacacia L.. In diploids, salt treatment induced accumulation of salt ions and increasing of MDA, O-2(center dot-), and H2O2. The concentrations of salt ion, MDA, O-2(center dot-), and H2O2 in tetraploids were lower than those in diploids, while the activities of SOD, CAT, and APX remained at a higher level. These results indicted that tetraploid R. pseudoacacia have a stronger antioxidant defense system and increased salt tolerance. Biotechnol. & Biotechnol. Eq. 2012, 26(6), 3351-335
TRAFFIC SIMULATION ANALYSIS OF CALIFORNIA STATE UNIVERSITY, SACRAMENTO CAMPUS
This project is an exploratory analysis of possible improvements to the existing traffic conditions on the California State University, Sacramento Campus. This study uses Synchro, a traffic simulation software package, to determine the resulting traffic conditions based on level of service (LOS) analysis under 2007 existing baseline traffic conditions and 2017 future scenario with baseline traffic condition. Next, aiming at the two problem intersections, J Street and Esplanade/Carlson Drive (Intersection #1), University Drive East and College Town Drive (Intersection #7), the author proposes three alternatives to improve the traffic conditions. Alternative 1 is develop and increase the efficiency of the campus transit, Alternative 2 includes intersection geometric improvements. Both alternatives can improve LOS and reduce the delay for each intersection. Alternative 3 is one-way street on campus, but this alternative cannot help to improve the congested intersection condition. The research conducted resulted in development of two recommendations for the CSUS campus. The recommendations include a short-term recommendation of the geometric improvements, and a long-term recommendation that is a combined solution with three operational strategies: manage the demand, develop and increase the efficiency of campus transit system, and increase the efficiency of the roadway system
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