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Histone acetyltransferases (HATs) play an important role in eukaryotic transcription. Eight HATs identified in rice (OsHATs) can be organized into four families, namely the CBP (OsHAC701, OsHAC703, and OsHAC704), TAFII250 (OsHAF701), GNAT (OsHAG702, OsHAG703, and OsHAG704), and MYST (OsHAM701) families. The biological functions of HATs in rice remain(More)
The paper introduces three texture analysis methods of ultrasonic images based on spatial domain method. Feature parameters, including mean, variance, contrast, homogeneity, angular second moment and entropy, are achieved from gray histogram statistic, gray level difference statistic (GLDS), gray level co-occurrence matrix (GLCM). Then the above statistical(More)
To broaden the range of laser’s application, continuous near infrared semiconductor diode laser (wavelength 808nm, power 2W) was used to evaluate the effect on Locusta Migratoria Manilensis locusts by laser irradiation. The heads of¿-¿ instar nymphs were irradiated at the 4cm distance from the output light pane of laser and 2s /4s irradiation time(More)
BACKGROUND Glucocorticoids increase the risk of developing critical disease from viral infections. However, primary care practitioners in China use them as antipyretics, potentially exposing hundreds of millions to this risk. METHODS We enrolled all patients with confirmed pandemic influenza A (pH1N1) virus infection aged ≥3 years with available medical(More)
OBJECTIVES We investigated whether periodic increases in minimum alcohol prices were associated with reduced alcohol-attributable hospital admissions in British Columbia. METHODS The longitudinal panel study (2002-2009) incorporated minimum alcohol prices, density of alcohol outlets, and age- and gender-standardized rates of acute, chronic, and 100%(More)
Sugarcane cotton aphis is a common insect pest in China. Rough set and fuzzy C-means clustering were applied to identify the insect pest of sugarcane cotton aphis. Rough set was used to obtain the characteristic parameters of identify insect pest of sugarcane cotton aphis. Then, fuzzy C-means clustering was used to extract the regions of the insect pest of(More)
Information security evaluation has become an important part of information management. The methods of safety evaluation impact the veracity and objectivity of the results, and also impact the overall capacity of information management in enterprises. Based on the thought of variable fuzzy set, a novel risk evaluation model is proposed. This model can(More)
BACKGROUND While substantive epidemiological literature suggests that alcohol drinking and obesity are potential risk factors of colorectal cancer (CRC), the possible interaction between the two has not been adequately explored. We used a case-control study to examine if alcohol drinking is associated with an increased risk of CRC and if such risk differs(More)
This paper presents a novel approach for human identification at a distance using gait recognition. The proposed work introduces a nonlinear machine learning method, Kernel Principal Component Analysis (KPCA), and K nearest neighbor classification (KNN) classifier for gait recognition. Kernel Principal Component Analysis (KPCA) is first applied to(More)