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Sixteen cotton cultivars widely planted in China were sowed under five different drought concentrations (0, 2.5, 5, 7.5, and 10%) using PEG6000 to screen the indices of drought resistance identification and explore the drought resistance of different cotton cultivars. Eighteen physiological indices including root, stem, and leaf water contents (RWC, SWC, and LWC), net photosynthetic rate (Pn), the maximum photochemical quantum yield (Fv/Fm), the actual photochemical quantum yield (ϕPSII), non-photochemical quenching coefficient (NPQ), leaf water potential (LWP), osmotic potential (ψs), leaf relative conductivity (REC), leaf proline content (Pro), leaf and root soluble protein contents (LSPC and RSPC), leaf and root malondialdehyde (MDA) contents (LMDA and RMDA), root superoxide dismutase, peroxidase, and catalase activities (RSOD, RPOD, and RCAT) were measured. Results indicated the 18 physiological indices can be converted into five or six independent comprehensive indices by principal component analysis, and nine typical indices (Fv/Fm, SWC, LWP, Pro, LMDA, RSPC, RMDA, RSOD, and RCAT) screened out by a stepwise regression method could be utilized to evaluate the drought resistance. Moreover, the 16 cotton cultivars were divided into four types: drought sensitive, drought weak sensitive, moderate drought resistant, and drought resistant types. The resistance ability of two selected cotton cultivars (drought resistant cultivar, Dexiamian 1; drought sensitive cultivar, Yuzaomian 9110) with contrasting drought sensitivities were further verified by pot experiment. Results showed that the responses of final cotton biomass, yield, and yield composition to drought were significantly different between the two cultivars. In conclusion, drought resistant cultivar Dexiamian 1 and drought sensitive cultivar Yuzaomian 9110 were screened through hydroponics experiment, which can be used as ideal experimental materials to study the mechanism of different cotton cultivars with contrasting drought sensitivities in response to drought stress.

The formation of cotton fiber strength largely relies on continuous and steady sucrose supply to cellulose synthesis and is greatly impaired by drought. However, the effects of drought on sucrose import into fiber and its involvement in cellulose biosynthesis within fiber remain unclear. To end this, moisture deficiency experiments were conducted using two Gossypium hirsutum cultivars of Dexiamian 1 (drought-tolerant) and Yuzaomian 9110 (drought-sensitive). Fiber strength was significantly decreased under drought. The results of 13C isotope labeling indicated that drought notably reduced sucrose efflux from cottonseed coat to fiber, and this was caused by down-regulation of sucrose transporter genes (GhSWEET10 and GhSWEET15) in the outer cottonseed coat, finally leading to decreased sucrose accumulation in fiber. Further, under drought, the balance of sucrose allocation within fiber was disrupted by increasing the flow of sucrose into β-1,3-glucan synthesis and lignin synthesis but hindering that into cellulose synthesis in both cultivars. Additionally, glycolysis and starch synthesis were specifically enhanced by drought in Yuzaomian 9110, which further reduced the flow of sucrose into cellulose synthesis. Under drought, the cellulose deposition was decreased due to promoted cellulose degrading process in Dexiamian 1 and stunted cellulose synthesis in Yuzaomian 9110. Consequently, reduced cellulose content was measured in drought-stressed fibers for both cultivars. In summary, the inhibited cellulose accumulation caused by drought was mainly due to reduced sucrose translocation from the outer cottonseed coat to fiber, and less sucrose partitioned to cellulose synthesis pathway under the condition of intensified competition for sucrose by different metabolic pathways within fiber, finally degrading the fiber strength.HighlightThis article revealed the path of sucrose flow from cottonseed coat to cotton fiber and sucrose competition patterns within cotton fiber under drought and their relationships with fiber strength loss.

In this paper, the key features of Phonocardiogram (PCG) are extracted based on the slopes of envelop of Hilbert Transfer after relocating boundaries with energy envelope segmentation. In this attempt the overall accuracy of features extraction is found to be 91.95%. 25 significant clinical features are introduced, and chosen to make two-kind classification by SVM. In the results of two-kind classification, the overall accuracy is 91.3%, which is better than 85.23% accuracy in 100 features of Shannon Energy Envelope. The result shows that features including clinical signification is of signification for enhancing the accurate rate of Phonocardiogram classification.

To study the frequency distribution in polymorphism of the apoprotein B 3' variable number tandem repeat (ApoB3'VNTR) and influence factors on hyperlipemia in civil aircrew.ApoB genotypes were determined by PCR technology and agarose gel electrophoresis. The blood lipids were measured by routine kits. Personal information of flight personnel was collected by questionnaire.Prevalence of the total dyslipidemia (49.5%) and overweight (55.6%) of flight personnel were much higher than that of domestic general population (29.2% and 49.1%) respectively (P0.05). There were 16 alleles and 54 kinds of genotypes of ApoB3'VNTR in the 682 flight personnel. The frequency distribution of alleles and genotypes of aircrew in the two air companies had same trend, which was different from the general population. The frequency of the homozygote was 76.54%, which was much higher than that of the other peoples home and abroad (21.50%). The frequency of the big allele (VNTRor =39) in hyperlipemia groups were higher than that of normal groups. By analysis of co-variance, the body mass index (BMI), low density lipoprotein (LDL) and the total cholesterol(TC) increased with the cumulate flight hours (P0.05). In multivariate logistic regression analysis, the BMI was the only factor influencing blood lipids, and the cumulate flight hours was only factors affecting the BMI. Taking the cumulate flight hours logarithm as the independent variable(X), and the BMI as dependent variable(Y), the linearity equations was: Y = 2.730X + 13.584 (R2 = 0.159, P0.01).There are perhaps special genetic characteristics in the polymorphism of the ApoB3'VNTR in the aircrew. The big allele is correlated with the hyperlipemia. The flight burden not only directly affects the BMI and blood lipids levels, but also it can indirectly affect the lipids levels by BMI.

Standard Electrocardiogram (ECG) database is prepared for testing the performance of automatic detection and classification algorithms. At present, there are three mainstream standard databases used by computer-aided ECG diagnosis researchers: MIT-BIH arrhythmia database, CSE multi-lead database and AHA database. By the progress of ECG in both equipment and diagnosis theory, fatal deficiency was found in these databases and a new one is needed for further studies. So Chinese Cardiovascular Disease Database (CCDD or CCD database), which contains 12-Lead ECG data and detailed features with diagnosis result is proposed. It is distinguished not only by improving the raw ECG data’s technical parameters, but also introduces some morphology features. Investigation shows these features are utilized by experienced cardiologists effectively. CCDD is used in our group as well as aiming for other and others’ projects in the future.