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Grape anthracnose, which is caused by Elsinoë ampelina, is a disease that negatively affects grape production. This study aimed to investigate the effects of aeration, temperature, light, and preculture period on the formation of E. ampelina conidia and conidial germination and virulence. The colony morphology on potato dextrose agar (PDA) plates was more diverse than that in PDA bottles. The assessment...
Measurements for long-term ocean turbulence observation are obtained from a mooring line deployed in the South China Sea. The measurements were made at a single level of 250m depth in the water column for about 3 month duty cycle. These time-extended measurements of TKE have yielded a valuable database. Based on advanced spectral methods for dissipation time series, the evolution processes of ocean...
As a kind of autonomous underwater vehicles (AUVs), underwater glider is gradually utilized in the long-term and large-scale observation. This paper considers underwater glider as a microstructure turbulence observation platform in terms of its low noise in the motion. On May 25th 2014, glider completed measurements in Thousand Island Lake. It proves that glider serves as a suitable observation platform...
The measurement of mental workload is an important aspect of human factor research. The purpose of this study was to evaluate the mental workload of subject in simulate flight using both physiological and subjective workload measurements, compare relative sensitivity during the three phases of flight: takeoff, climb & cruise & descent, approach & landing. Four graduate students volunteered...
Supersecondary structures (SSSs) are the building blocks of protein 3D structures. Accurate prediction of SSSs can be one important step toward building a tertiary structure from the specified secondary structure. How to improve the accuracy of prediction of SSSs by effectively incorporating the sequence order effects is an important and challenging problem. Based on a different form of Chou's pseudo...
RNA secondary structures are important in many biological processes and the efficient structure prediction can give vital directions for experimental investigations. A new representation of the RNA structure information that can express pseudoknots is introduced in this paper, which is called ldquoextened NSSEL labelsrdquo. An SVM model is presented to predict RNA secondary structures based on this...
Secondary structure prediction of proteins has increasingly been a central research area in bioinformatics. In order to know which data encoding approach is more effective whiling predicting secondary structure using SVM, five approaches: ENCOrth, ENCFive, ENCCodBas, ENCCodExt and ENCProf are discussed in this paper. The results of data encoding are used as input of SVM. By performing ENCProf approach,...
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