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Cold temperatures are one of the factors influencing color polymorphisms in Acyrthosiphon pisum, resulting in a change from a red to greenish color. Here we characterized gene expression profiles of A. pisum under different low temperatures (1°C, 4°C, 8°C, and 14°C) and durations (3, 6, 12, and 24 h). The number of differentially expressed genes (DEGs) increased as temperatures decreased and time increased, but only a small number of significant DEGs were identified. Genes involved in pigment metabolism were downregulated. An interaction network analysis for 506 common DEGs in comparisons among aphids exposed to 1°C for four durations indicated that a cytochrome P450 gene (CYP, LOC112935894) significantly downregulated may interact with a carotenoid metabolism gene (LOC100574964), similar to other genes encoding CYP, lycopene dehydrogenase and fatty acid synthase. We proposed that the body color shift in A. pisum responding to low temperatures may be regulated by CYPs.

To compare the accuracy of three methods for measuring the length of both lower limbs in hip arthroplasty for femoral neck fracture in the elderly, and to introduce a "shoulder to shoulder" anatomical location marking method for femur.From January 2017 to January 2019, 90 elderly patients with femoral neck fracture were treated with hip replacement, including 39 males and 51 females, aged 65 to 96(78.0±7.4) years, 56 cases of total hip and 34 cases of hemi hip. According to garden classification, there were 7 cases of typeⅡ, 63 cases of type Ⅲ and 20 cases of type Ⅳ. The patients were divided into three groups according to different measurement methods:contralateral contrast method (group A) of 19 cases, shuck test method (group B) of 28 cases, and "shoulder to shoulder" anatomical marker localization method (Group C) of 43 cases. The accuracy of the three methods was compared by measuring the length difference of lower limbs in vitro and imaging.All patients completed the operation successfully. After total hip arthroplasty, the length of lower limbs in group A was(12.9±8.6) mm, and that in group B was(10.3±4.4) mm. After hemiarthroplasty, the length of lower limbs in group A was (13.2±7.2) mm, group B was (8.7±3.5) mm, and group C was (6.3±2.8) mm; the measurement results of unequal length of lower limbs after total hip arthroplasty were(12.9±8.1) mm in group A, (9.6±4.0) mm in group B and (6.6±2.6) mm in group C. The results of factorial analysis of variance showed that the differences among the three groups were statistically significant (The "shoulder to shoulder" anatomic localization marking method can reduce the length of lower limbs simply, effectively and accurately in the elderly patients with femoral neck fracture hip replacement.

Background: Schizophrenia is a mental disorder characterized by hyperlocomotion, cognitive symptoms, and social withdrawal. Brain-derived neurotrophic factor (BDNF) and postsynaptic density (PSD)-95 are related to schizophrenia-like deficits via regulating the synaptic ultrastructure, and play a role in drug therapy. Vinpocetine is a nootropic phosphodiesterase-1 (PDE-1) inhibitor that can reverse ketamine-induced schizophrenia-like deficits by increasing BDNF expression. However, the effects of vinpocetine on alleviating schizophrenia-like deficits via reversing the synaptic ultrastructure by regulating BDNF-related PSD-95 have not been sufficiently studied. Methods: In this study, the schizophrenic model was built using ketamine (30 mg/kg) for 14 consecutive days. The effect of vinpocetine on reversing schizophrenia-like behaviors was examined via behavioral testing followed by treatment with certain doses of vinpocetine (20 mg/kg, i.p.). The BDNF and PSD-95 levels in the posterior cingulate cortex (PCC) were measured using biochemical assessments. In addition, the synaptic ultrastructure was observed using transmission electron microscopy (TEM). Results: Ketamine induced drastic schizophrenia-like behaviors, lower protein levels of BDNF and PSD-95, and a change in the synaptic ultrastructure in the PCC. After treatment, the vinpocetine revealed a marked amendment in schizophrenia-like behaviors induced by ketamine, including higher locomotor behavior, lower cognitive behavior, and social withdrawal defects. Vinpocetine could increase the PSD-95 protein level by up-regulating the expression of BDNF. In addition, the synaptic ultrastructure was changed after vinpocetine administration, including a reduction in the thickness and curvature of the synaptic interface, as well as an increase in synaptic cleft width in the PCC. Conclusion: Vinpocetine can reverse the synaptic ultrastructure by regulating BDNF-related PSD-95 to alleviate schizophrenia-like deficits induced by ketamine in rats. Keywords: Schizophrenia, Vinpocetine, BDNF, PSD-95, Synaptic ultrastructure

Existing methods for the identification of pummelo cultivars are usually time-consuming and costly, and are therefore inconvenient to be used in cases that a rapid identification is needed. This research was aimed at identifying different pummelo cultivars by hyperspectral imaging technology which can achieve a rapid and highly sensitive measurement. A total of 240 leaf samples, 60 for each of the four cultivars were investigated. Samples were divided into two groups such as calibration set (48 samples of each cultivar) and validation set (12 samples of each cultivar) by a Kennard-Stone-based algorithm. Hyperspectral images of both adaxial and abaxial surfaces of each leaf were obtained, and were segmented into a region of interest (ROI) using a simple threshold. Spectra of leaf samples were extracted from ROI. To remove the absolute noises of the spectra, only the date of spectral range 400~1000 nm was used for analysis. Multiplicative scatter correction (MSC) and standard normal variable (SNV) were utilized for data preprocessing. Principal component analysis (PCA) was used to extract the best principal components, and successive projections algorithm (SPA) was used to extract the effective wavelengths. Least squares support vector machine (LS-SVM) was used to obtain the discrimination model of the four different pummelo cultivars. To find out the optimal values of σ2 and γ which were important parameters in LS-SVM modeling, Grid-search technique and Cross-Validation were applied. The first 10 and 11 principal components were extracted by PCA for the hyperspectral data of adaxial surface and abaxial surface, respectively. There were 31 and 21 effective wavelengths selected by SPA based on the hyperspectral data of adaxial surface and abaxial surface, respectively. The best principal components and the effective wavelengths were used as inputs of LS-SVM models, and then the PCA-LS-SVM model and the SPA-LS-SVM model were built. The results showed that 99.46% and 98.44% of identification accuracy was achieved in the calibration set for the PCA-LS-SVM model and the SPA-LS-SVM model, respectively, and a 95.83% of identification accuracy was achieved in the validation set for both the PCA-LS-SVM and the SPA- LS-SVM models, which were built based on the hyperspectral data of adaxial surface. Comparatively, the results of the PCA-LS-SVM and the SPA-LS-SVM models built based on the hyperspectral data of abaxial surface both achieved identification accuracies of 100% for both calibration set and validation set. The overall results demonstrated that use of hyperspectral data of adaxial and abaxial leaf surfaces coupled with the use of PCA-LS-SVM and the SPA-LS-SVM could achieve an accurate identification of pummelo cultivars. It was feasible to use hyperspectral imaging technology to identify different pummelo cultivars, and hyperspectral imaging technology provided an alternate way of rapid identification of pummelo cultivars. Moreover, the results in this paper demonstrated that the data from the abaxial surface of leaf was more sensitive in identifying pummelo cultivars. This study provided a new method for to the fast discrimination of pummelo cultivars.

The effective region was segmented from the hyperspectral image of citrus leaf by threshold method with the average spectrum extracted and used to describe the corresponding leaf. Based on the different spectral pre-processing methods, the prediction models of three photosynthetic pigments (i. e., chlorophyll a, chlorophyll b, and carotenoid) were calibrated by partial least squares (PLS), BP neural network (BPNN) and least square support vector machine (LS-SVM). The LS-SVM model for chlorophyll a was established based on multiplicative scatter correction (MSC), and the correlation coefficient (Rp) and the root mean square error of prediction (RMSEP) were 0.898 3 and 0.140 4, respectively. The LS-SVM model for chlorophyll b with Rp = 0.912 3 and RMSEP = 0.042 6, was established based on standard normal variable (SNV). The PLS model for carotenoid was established with Rp = 0.712 8 and RMSEP = 0.062 4 based on moving average smoothing (MAS), but the result was no better than the other two. The results illustrated that these three photosynthetic pigments could be nondestructively and real time estimated by hyperspectral image.

The impacts of three polymorphisms (SG13S114A/T, SG13S89A/G and SG13S32A/C) of 5-lipoxygenase activating protein (ALOX5AP) on the risk of ischemic stroke (IS) have been extensively studied for Chinese people, while conflicting results have been reported. The aim of meta-analysis was to further explore the associations to get a more robust conclusion. We researched the databases of Medline, Embase and Wangfang with latest update of August 1st, 2013. Odds ratio and corresponding 95% confidence interval (OR and 95%CI) were used to present the strength of the associations. Eleven case-control studies with 11,037 Chinese peoples (5361 IS cases and 5676 controls) were included. Overall, combined analysis indicated that AA genotype of ALOX5AP SG13S114A/T was significantly associated with increased risk of IS incidence compared with TT genotype [OR and 95%CI: 1.47 (1.13-1.91), P=0.005]. In addition, when subgroup analysis was conducted by subtypes of IS (atherothrombotic- or small artery disease-IS, AHS- or SAD-IS), A allele of SG13S114A/T was found to be associated with increased risk of AHS-IS compared with T allele [OR and 95%CI: 1.51 (1.28-1.79), P

Researched on diversity of the spring leaf samples of seven different Citrus sinensis (L.) Osbeck varieties by Fourier transform infrared (FTIR) spectroscopy technology, the results showed that the Fourier transform infrared spectra of seven varieties leaves was composited by the absorption band of cellulose and polysaccharide mainly, the wave number of characteristics absorption peaks were similar at their FTIR spectra. However, there were some differences in shape of peaks and relatively absorption intensity. The conspicuous difference was presented at the region between 1 500 and 700 cm(-1) by second derivative spectra. Through the hierarchical cluster analysis (HCA) of second derivative spectra between 1 500 and 700 cm(-1), the results showed that the clustering of the different varieties of Citrus sinensis (L.) Osbeck varieties was classification according to genetic relationship. The results showed that FTIR spectroscopy combined with hierarchical cluster analysis could be used to identify and classify of citrus varieties rapidly, it was an extension method to study on early leaves of varieties orange seedlings.

Many epidemiological studies have investigated the associations between polymorphisms of interleukin-1 (IL1) and interleukin-6 (IL6) genes and risk of ischemic stroke (IS), but no conclusions are available because of conflicting results. The aim of this study was to assess the relationships by meta-analysis. The databases of Pubmed, Embase and Wangfang, updated to August 1st, 2011, were retrieved. Odds ratio (OR) and corresponding 95% confidence interval (95% CI) as effect size were calculated by a fixed- or random-effect model. In total, three case-control studies for IL1α-889C/T, eight studies for IL1β-511C/T, eight studies for IL1-Ra and seven studies for IL6-147G/C were included in this meta-analysis. Combined analysis indicated that IL1β-511C/T polymorphism was not overall associated with risk of IS [OR (95% CI)=1.22 (0.85-1.87) for TT vs. CC]. However, when subgroup analyses for countries were conducted, the results indicated that T allele was associated with increased risk of IS for Polish and associated with a trend of increased risk of IS for Chinese although it did not reach statistical significance [TT vs. CC: OR (95% CI)=1.97 (1.22-3.17) for Polish and 1.40 (0.99-1.99) for Chinese]. In addition, overall and subgroup analyses indicated that IL1α-889C/T, IL1-Ra and IL6-147G/C polymorphisms were also not associated with risk of IS [OR (95% CI)=1.21 (0.86-1.70) for TT vs. CC of IL1α-889C/T, 1.22 (0.85-1.75) for RN2/RN2 vs. RN1/RN1 for IL1-Ra and 1.09 (0.84-1.40) for G carriers vs. C carriers for IL6-147G/C]. This study inferred that IL1β-511C/T polymorphism might be moderately associated with increased risk of IS, but no sufficient evidence was available to support any associations between IL1-Ra and IL6-147G/C polymorphisms and IS. We could not draw a conclusion between IL1α-889C/T polymorphism and risk of IS based on the limited data, and further large sample-sized studies were required.

Olinda valencia orange leaves dry powder-like were taken as sample, and chemical analysis combined with technology of visible near-infrared spectroscopy (Vis/NIRS) was used, through the treatment process of second derivative spectrum of samples of the original spectrum and denoising (Noise). Meanwhile, method of partial least squares (PLS) and cross-validation were used to establish maths model of Zn concentration which applying band combination composited by 400-500 and 1201-1300 nm of characteristic wavelength band. The coefficient of establishing models is 0.9975, while the coefficient of correlation coefficient of prediction is 0.9920. The root mean square error of prediction (RMSEP) of cross-validation is 0.5868. Therefore, the means using visible near-infrared spectroscopy (Vis/NIRS) and the methods of cross-validation and PLS to establish the spectral correction model reflecting the Zn content in leaves and characteristic wavelength bands can detect the Zn content in citrus leaves quantitatively and quickly.

The purpose of our study is to study the relationship between the reflective spectrum of fruit and the internal quality of the orange fruit and find the suitable mark spectrum that can synchronously measure the several fruit quality index at same time to lay a foundation for the development of a rapid and nondestructive field fruit quality analysis technique by analyzing the visible-near infrared spectrum. Mature Hamlin orange (Citrus sinensis (L)cv. Hamlin sweet orange) fruits were individually mensurated for their reflective spectrum by using FieldSpec-HH spectrometer and for their contents of total soluble solid (TSS), citric acid and vitamin C (Vc) by chemistry analysis. The experiment results showed that the fruit reflectivity values (x) at 988 nm was significantly correlated to both TSS (y)(r = 0.387* *, y = 13. 957x + 5.405), TSS/acid ratio(y)(r = 0. 440* *, y = 75.120x + 37.256), and Vc(r = 0.309*). Both of TSS and Vc contends were positively correlated with the second derivatives of the reflective spectrum at 943 nm, with correlation coefficients of 0.339* and 0.355*. TSS/acid ratio was positively correlated only with the reciprocal log values of the reflective spectrum at 944 nm (r = 0.304*). The results in this study indicated that fruit quality indexes TSS, Vc and TSS/acid can be synchronously, rapidly and nondestructively field measured at the same time by the 988 or 429 nm reflective spectrum test and special regress equation operation.

The relationship between the spectrum characteristics and nitrogen content of soils in citrus orchard of the Three Gorges Reservoir Area was studied by analyzing the visible-near infrared spectrum. The results showed that the soil reflectivity in creased lineally as the wavelength increases across the visible spectrum and reached a stable plateau in the short wavelength near-infrared region (780-1750 nm)without much fluctuation. In the long wavelength near-infrared region (1750-2400 nm) the reflec tivity of the soils was higher with higher fluctuation. There were three strong absorbance peaks around 1416, 1913 and 2209 nm, respectively, in the long wavelength infrared region. Soil available nitrogen content and total nitrogen content were positively correlated with soil light reflectivity but negatively correlated with catoptric-spectrum values reciprocal logarithm. At 541 nn of visible light region, a high positive correlation was found between the available nitrogen content and the first derivative of the soil reflective spectrum with a correlation coefficient of + 0.605** and the best fitting equation was y = 2E + 09x(2) - 3E + 06x + 890.49, where R2 = 0.5, and x is the first derivative of the soil reflective spectrum. At 1909 nm of the near-infrared long wavelength region, the correlation between the total nitrogen content and the reciprocal-log values of the reflective spectrum of the soils was the best with a correlation coefficient of -0.612**, and the best fitting equation was y = 1.3721x(2) - 2.1075x + 0.8592, where R2 = 0.4, and x is the reciprocal values of the log reflective spectrum of the soils.