An Algorithm for Identifying Novel Targets of Transcription Factor Families: Application to Hypoxia-inducible Factor 1 Targets

Efficient and effective analysis of the growing genomic databases requires the development of adequate computational tools. We introduce a fast method based on the suffix tree data structure for predicting novel targets of hypoxia-inducible factor 1 (HIF-1) from huge genome databases. The suffix tree data structure has two powerful applications here: one is to extract unknown patterns from multiple strings/sequences in linear time; the other is to search multiple strings/sequences using multiple patterns in linear time. Using 15 known HIF-1 target gene sequences as a training set, we extracted 105 common patterns that all occur in the 15 training genes using suffix trees. Using these 105 common patterns along with known subsequences surrounding HIF-1 binding sites from the literature, the algorithm searches a genome database that contains 2,078,786 DNA sequences. It reported 258 potentially novel HIF-1 targets including 25 known HIF-1 targets. Based on microarray studies from the literature, 17 putative genes were confirmed to be upregulated by HIF-1 or hypoxia inside these 258 genes. We further studied one of the potential targets, COX-2, in the biological lab; and showed that it was a biologically relevant HIF-1 target. These results demonstrate that our methodology is an effective computational approach for identifying novel HIF-1 targets

Self-organized Voids Revisited: Experimental Verification of the Formation Mechanism*

In this paper, several experiments were conducted to further clarify the formation mechanism of self organized void array induced by a single laser beam, including energy-related experiments, refractive-index-contrast-related experiments, depth-related experiments and effective-numerical-aperture experiment. These experiments indicate that the interface spherical aberration is indeed responsible for the formation of void arrays

Research of Preventive Maintenance Task Optimization of Military Aircraft Based on S4000P

Preventive maintenance is the main measure to restore and maintain the safety and reliability of the aircraft, and its optimization as a common concern is concerned by both aircraft manufacturers and users. The international mainstream preventive maintenance task optimization methods and their applicable objects are investigated. Based on the S4000P ISMO (in-service maintenance optimization) process suitable for equipment, the characteristics of military aircraft is combined to perform the adjustment and personalized design for the original process, and construct the logic process of preventive maintenance task optimization. The results show that the task optimization process can be used for the optimization analysis of military aircraft preventive maintenance task

Schedule Maintenance Task Interval Optimization Method Based on In-service Data

Schedule maintenance task interval is a key index representing the reliability and economy of aircraft, and the accumulation of maintenance and fault data after aircraft service provides the basis for the adjustment of maintenance task interval. The method for data sampling size is determined by analyzing the optimization process of aircraft maintenance task interval. The failure trend analysis method based on data fitting is given to judge the necessity of interval optimization method. The hypothesis test criteria of maintenance interval optimization is defined. The proposed optimization method is verified with instance. The results show that the method can judge the feasibility of new maintenance task interval, and guide the update of maintenance review board report (MRBR)

S2 Data. Fluorescence data of mucosa.csv

Fluorescence data of mucos

S2 Fig. Reconstructed slice images from all projection images acquired by micro CT

Reconstructed slice images of one sinus fungus ball specimen from all projection images acquired by micro C

S1 Video. Video of specimen extraction process by standard functional endoscopic sinus surgery (FESS).avi

Video of sinus fungus ball extraction process by standard functional endoscopic sinus surgery (FESS

S1 Fig. 2D projection images acquired by microCT of specimen No. 3

<b>2D projection images acquired by microCT of one sinus fungus ball specimen</b

S1 Data. Fluorescence data of No.3 specimen.csv

Fluorescence data of  one sinus fungus ball specime