Spectrum spatial structure characteristic analysis of remote sensing alteration information and interference factors

Based on the statistical characteristics of remote sensing data, the spatial geometric structure characteristics of spectral data and distribution of background, interference and alteration information in characteristic space were researched through the analysis of two-dimensional and three-dimensional scatter diagrams. The results indicate that the hyper-space of remote sensing multi-data aggregation belongs to low-dimensional geometric structure, i.e. hyperplane form, and anomalous point groups including alteration information usually dissociate out of hyperplane. Scatter diagrams of remote sensing data band are mainly presented as two distribution forms of single-ellipse and dual-ellipse. Clarifying the relations of three objects of background, disturbance and alteration information in remote sensing images provides an important technical thought and guidance for accurately detecting and extracting remote sensing alteration information.

RNA interference-mediated gene silencing of vascular endothelial growth factor in colon cancer cells

AIM： TO inhibit the expression of vascular endothelial growth factor （VEGF） in colon cancer cell line by RNA interference （RNAi）.METHODS： Followed the service of E-RNAi, we designed and constructed two kinds of shRNA expression vectors aiming at the VEGF gene, then transfected them into colon cancer HT29 cells by lipofectamineTM 2000. The level of VEGF mRNA was investigated by RT-PCR and Northern blotting. The protein expression of VEGF was observed by immunofluoresence staining and Western blotting.RESULTS： We got two kinds of VEGF specific shRNA expression vectors which could efficiently inhibit the expression of VEGF in HT29 cells. RT-PCR, Northern blotting, immunofluoresence staining and Western blotting showed that inhibition rate for VEGF expression was up to 42%, 89%, 73% and 82%, respectively.CONCLUSION： The expression of VEGF can be inhibited by RNA interference in HT29 cells.

Inhibitory effect of vascular endothelial growth factors-targeted small interfering RNA on proliferation of gastric cancer cells

AIM： To examine the effects of vascular endothelial growth factor （VEGF）-targeted small interfering RNA （siRNA） on proliferation of gastric cancer cellsin vitro.METHODS： Several siRNAs were transfected into human gastric cancer cell line SGC-7901 with Lipofectamine 2000. Cells not transfected with LipofectamineTM 2000 or scrambled （SCR） siRNA served as controls. The inhibitory effect of siRNA on the expression of VEGF mRNA and protein was detected by RT-PCR and ELISA. MTT assay was used to examine the inhibition rate of cell growth.The change in cell cycling of siRNA-treated cells was detected by flow cytometry.RESULTS： siRNA targeting human VEGF effectively inhibited the proliferation of gastric cancer cell lineSGC-7901 and the distribution of cell cycle. The percentage of G0/G1 phase was significantly higher in siRNA1- and siRNA2-transfected cells than in control cells.The expression of VEGF mRNA was significantly inhibited in siRNA1- and siRNA2-transfected cells compared with that in control cells. VEGF protein notably decreased in siRNA-transfected cells, but had no effect on SCR siRNA.CONCLUSION： VEGF siRNA inhibits proliferation of gastric cancer cells in vitro.

Numerical Prediction of Form Factor and Wave Interference of A Trimaran for Different Outrigger Positions

Trimaran hydrodynamics have been an important research topic in recent years.Trimarans have even been chosen for naval surface combatants.In this case,investigation of a trimaran with different outrigger positions is important and necessary for better hydrodynamic performance.This paper focuses on the numerical investigation of trimaran hydrodynamics.The trimaran model used in this study is a 1/80 scale high-speed displacement frigate-type concept developed by the Center for Innovation in Ship Design(CISD)at Naval Surface Warfare Center,Carderock Division(NSWCCD).The numerical simulations were conducted for different outrigger positions at low and moderate Froude numbers by using commercial CFD software solving URANS equations.A verification and validation study was carried out for the numerical method in one configuration and one ship velocity.The existing experimental results for the trimaran resistance in the literature were used for validation.Five different outrigger positions were analyzed and the form factor of each configuration was calculated by the Prohaska method.The total resistance was decomposed to its components using the form factor.The interference factor was calculated for each configuration in terms of total resistance,residual resistance and wave resistance.Also,wave profiles using the longitudinal wave cuts in different locations were obtained both numerically and experimentally.It was concluded that the outrigger position had different effects on the interference,total resistance and wave profile at different Froude numbers.It was also shown that the CFD results were in good agreement with the experimental data in all configurations.In conclusion,this study presents the results of interference effects for different trimaran configurations in terms of wave resistance in addition to the total resistance and residual resistance.The numerical method was validated not only with the total resistance test data but also the longitudinal wave profiles along the hull.

Effects of RNA interference targeting transforming growth factor-beta 1 on immune hepatic fibrosis induced by Concanavalin A in mice

BACKGROUND: Previous studies have shown that transforming growth factor-beta 1 (TGF-beta 1) is the most potent means of stimulating liver fibrogenesis by myofibroblast-like cells derived from hepatic stellate cells. Thus, TGF-beta 1 could be a target for treating hepatic fibrosis. This study aimed to investigate the inhibitory effects of specific TGF-beta 1 small interference RNA (siRNA) on immune hepatic fibrosis induced by Concanavalin A (Con A) in mice. METHODS: Three short hairpin RNAs targeting different positions of TGF-beta 1 were designed and cloned to the plasmid pGenesil-1 to obtain three recombinant expression vectors (pGenesil-TGF-beta 1-ml, pGenesil-TGF-beta 1-m2 and pGenesil-TGF-beta 1-m3). Thirty male Kunming mice were randomly divided into 6 groups: normal, model, control, and three treatment groups. The immune hepatic fibrosis models were constructed by injecting Con A via the tail vein at 8 mg/kg per week for 6 weeks. At weeks 2, 4 and 6, pGenesil-TGF-beta 1-ml, pGenesil-TGF-beta 1-m2 or pGenesi1-TGF-beta 1-m3 was injected by a hydrodynamics-based transfection method via the tail vein at 0.8 ml/10 g within 24 hours after injection of Con A in each of the three treatment groups. The mice in the control group were injected with control plasmid pGenesil-HK at the same dose. All mice were sacrificed at week 7. The levels of hydroxyproline in liver tissue were determined by biochemistry. Liver histopathology was assessed by Van Gieson staining. The expression levels and localization of TGF-beta 1, Smad3, and Smad7 in liver tissue were detected by immunohistochemistry. The expression of TGF-beta 1, Smad3, Smad7 and alpha-smooth muscle actin (alpha-SMA) mRNAs in the liver were assessed by semi-quantitative RT-PCR. RESULTS: The levels of hydroxyproline in the liver tissue of the treatment groups were lower than those of the model group (P<0.01). Histopathologic assay showed that liver fibrogenesis was clearly improved in the treatment groups compared with the model group. The expression levels of TGF-beta 1 and Smad3 of liver tissue were also markedly lower in the treatment groups than in the model group (P<0.01), while the levels of Smad7 were higher in the treatment groups than in the model group (P<0.01). RT-PCR further showed that the expression of TGF-beta 1, Smad3 and alpha-SMA mRNA was significantly inhibited in the treatment groups compared with the model group, while the levels of Smad7 were increased. There was no difference in the above parameters among the three treatment groups or between the control and model groups (P>0.05), but the inhibitory effect of pGenesil-TGF-beta 1-ml was the highest among the treatment groups. CONCLUSIONS: Specific siRNA targeting of TGF-beta 1 markedly inhibited the fibrogenesis of immune hepatic fibrosis induced by Con A in mice. The anti-fibrosis mechanisms of siRNAs may be associated with the down-regulation of TGF-beta 1, Smad3 and alpha-SMA expression and up-regulation of Smad7 expression in liver tissue, which resulted in suppressing the activation of hepatic stellate cells. (Hepatobiliary Pancreat Dis Int 2009; 8: 300-308)

RNA interference affects tumorigenicity and expression of insulin-like growth factor-1,insulin-like growth factor-1 receptor,and basic fibroblast growth factor-2 in rat C6 glioma cells

BACKGROUND： Human gliomas are more likely to express basic fibroblast growth factor-2 （FGF-2） insulin-like growth factor-1（IGF-1）, and IGF-1 receptor （IGF-1R） than normal brain tissue. These factors activate signal transduction systems of Ras/MAPK and PI3K/Akl, which promote glioma growth. OBJECTIVE： To utilize RNA interference （RNAi） technique to down-regulate FGF-2, IGF-1, and IGF-1R gene expression, and to investigate the effects of these genes on rat C6 glioma cells, as well as the feasibility of RNAi for treating glioma. DESIGN, TIME AND SETTING： This neurooncological, randomized, controlled, in vivo and in vitro experiment, which used RNAi methodology, was performed at the Laboratory of Molecular Biology, Institute of Biochemistry, Chinese Academy of Sciences between August 2005 and February 2008. MATERIALS： Rat C6 cell lines were purchased from Shanghai Institute of Cellular Biology Affiliated to Chinese Academy of Sciences. Small interfering RNA （siRNA） was synthesized by Shanghai GenePharma. Anti-IGF-1, anti-IGF-1R, anti-FGF-2, anti-mouse and anti-rabbit IgG G1-HRP antibodies were provided by Santa Cruz Biotechnology, USA. Four to six week-old BALB/c nude mice were purchased from the Laboratory Animal Center, Chinese Academy of Sciences. METHODS： C6 glioma cells were transfected with siRNA, which was chemically synthesized in vitro to correspond to endogenous FGF-2, IGF-1, and IGF-1R genes. The inhibition ratio of targeting mRNA expression was detected by semiquantitative RT-PCR, and protein expression was determined by Western blot analysis. C6 glioma cell proliferation was observed using a growth curve C6 glioma cell apoptosis rate and cell cycle were detected by flow cytometry. C6 glioma cell growth regression was observed by transwell migration assay. In addition, nude mouse subcutaneous tumor models were used in this study. For studying the anti-tumor effects of IGF-1 and IGF-1R siRNA, two blank control groups, with six mice each, were set up： A （2.5 μg siRNA was injected one week after C6 cells were inoculated, Le., when tumor volume reached 8 mm × 8 mm） and B （siRNA was injected at the same time with C6 cells were inoculated. To study the effects of FGF-2 siRNA, the groups consisted of a blank control group, negative control group, 2.6 μg siRNA group, 4 μg siRNA group, and 5.3 μg siRNA group, with six mice each. MAIN OUTCOME MEASURES： mRNA and protein inhibition ratio of FGF-2, IGF-1, and IGF-1 R; C6 glioma cell proliferation, apoptosis, and cycle growth arrest; C6 glioma cell growth regression and subcutaneous tumorigenicity rates. RESULTS： All siRNA constructs proved to be effective. After 48 hours, transfection of 200 nmol/L siRNA resulted in a FGF-2 or IGF-1R gene inhibition ratio 〉 80% and an IGF-1 gene inhibition ratio of approximately 70%. Protein expression levels for FGF-2, IGF-1, and IGF-1R decreased in a dose-dependent manner following siRNA transfection, with an inhibition rate 〉 85%, 60%, and 50%, respectively. C6 glioma cell proliferation and apoptosis rates increased in proportion to siRNA. The apoptosis rate of C6 glioma cells induced by FGF-2, IGF-1, and IGF-1R siRNA was 39.96%, 15.07% and 22.47%, respectively （P 〈 0.01）. Transfection of 200 nmol/L IGF or IGF-1R siRNA for 48 hours suppressed C6 glioma cell migration. At 30 days after intratumoral injection of 2.6, 4, and 5.3 tJg FGF-2 siRNA, tumor growth regression rate of FGF-2 siRNA was 56%, 67%, and 86%, respectively. The tumor growth regression rate was 71.88% and 45.71%, respectively, when IGF-1 or IGF-1R siRNA was intratumorally injected 1 week after C6 glioma cell transplantation. When IGF-1 or IGF-1 R siRNA was intratumorally injected during C6 glioma cell transplantation, the tumor growth regression rate was 78.13% and 74.29%, respectively. CONCLUSION： siRNA transfection downregulated gene expression of FGF-2, IGF-1, and IGF-1R In addition, siRNA treatment markedly suppressed glioma cell proliferation, growth, and migration, and concomitantly reduced subcutaneous tumorigenicity.

Improvement on application of Dancoff factor and resonance interference table

An improvement for application of Dancoff factor is developed. It combines Stamm'ler's two-term method for resonance integral calculation with neutron current method for Dancoff factor calculation. Stamm'ler's formulation, which is originally derived for the infinite lattice geometry, can be easily revised to contain the Dancoff factor explicitly, while the neutron current method can easily calculate the Dancoff factor for general irregular assembly geometry. For the resonance interference effects the resonance interference factor table is built in pairs of nuclides, only for the interference between 238 U and other resonance nuclides, spanning over a range of background cross-section and number density ratio of the pairing nuclides. A series of verification calculations have been carried out for problems of infinite lattice and single assembly geometry, with two or multiple resonance absorbers. For these verification calculations, our improvement on Dancoff factor application and resonance interference give good results.

Silencing of signal transducer and activator of transcription 3 expression by RNA interference suppresses growth of human hepatocellular carcinoma in tumor-bearing nude mice

AIM： To explore the effect of silencing of signal transducer and activator of transcription 3 （STAT3） expression by RNA interference （RNAi） on growth of human hepatocellular carcinoma （HCC） in tumorbearing nude mice in vivo.METHODS： To construct the recombinant plasmid of pSilencer 3.0-H1-STAT3-siRNA-GFP （pSHI-siRNA- STAT3） and establish the tumor-bearing nude mouse model of the HCC cell line SMMC7721, we used intratumoral injection together with electroblotting to transfect the recombinant plasmid pSHI-siRNA- STAT3 into the transplanted tumor. The weight of the nude mice and tumor volumes were recorded. STAT3 gene transcription was detected by semi-quantitative reverse transcription polymerase chain reaction （RT- PCR）. Level of protein expression and location of STAT3 were determined by Western blotting and immunohistochemical staining. STAT3-related genes such as survivin, c-myc, VEGF, p53 and caspase3 mRNA and protein expression were detected in tumor tissues at the same time. The terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling （TUNEL） assay was used to detect apoptosis of tumor cells.RESULTS： The weight of the treated nude mice increased, and the tumor volume decreased markedly compared with those of the mock-treated and negative control groups （P 〈 0.01）. The results of RT-PCR and Western blotting showed that mRNA and protein levels of STAT3 declined markedly in the treated group. The change in STAT3-related gene expression in tumor tissues at the mRNA and protein level also varied, the expression of survivin, VEGF and c-myc were obviously reduced, and expression of p53 and caspase3 increased （P 〈 0.01）. Most of the tumor tissue ceils in the treated group developed apoptosis that was detected by TUNEL assay.CONCLUSION： Silencing of STAT3 expression by RNAi significantly inhibits expression of STAT3 mRNA and protein, and suppresses growth of human HCC in tumor-bearing nude mice. The mechanism may be related to down-regulation of survivin, VEGF and c-myc and up-regulation of p53 and caspase3 expression. Accordingly, the STAT3 gene may act as an important and effective target in gene therapy of HCC.

Downregulation of NFAT5 by RNA interference reduces monoclonal antibody productivity of hybridoma cells

Hybridoma cells display an increase in antibody productivity following exposure to hypertonic conditions. However, the underlying mechanism is not well understood. In the present study, we hypothesize that the nuclear factor of activated T cells 5 （NFAT5）/tonicity enhancer binding protein （TonEBP） functions to increase the antibody productivity of hybridoma cells. NFAT5 is an osmosensitive mammalian transcription factor. However, its ubiquitous expression in various organs that are not bathed in hypertonic milieu suggests that NFAT5 may also regulate cell growth and function under isotonic conditions. In this study, we examined the expression of NFAT5 in hybridoma cells by Western blot analysis, and found that it increased significantly in hypertonic medium. To further define the function of NFAT5 in hybridoma cells, RNA interference technique was used to downregulate the expression of NFAT5 in SGB-8 cells （a hybridoma cell line）. In isotonic medium, antibody productivity ofhybridoma cells was reduced by downregulation of NFAT5 while cell proliferation was not influenced. The results presented here demonstrate that NFAT5 not only plays an important role in osmotic stress response pathway in hybridoma cells but also is essential for optimal antibody productivity.

High-throughput RNA interference screens integrative analysis: Towards a comprehensive understanding of the virus-host interplay

Viruses are extremely heterogeneous entities; the size and the nature of their genetic information, as well as the strategies employed to amplify and propagate their genomes, are highly variable. However, as obligatory intracellular parasites, replication of all viruses relies on the host cell. Having co-evolved with their host for several million years, viruses have developed very sophisticated strategies to hijack cellular factors that promote virus uptake, replication, and spread. Identification of host cell factors(HCFs) required for these processes is a major challenge for researchers, but it enables the identification of new, highly selective targets for anti viral therapeutics. To this end, the establishment of platforms enabling genome-wide high-throughput RNA interference(HT-RNAi) screens has led to the identification of several key factors involved in the viral lifecycle. A number of genome-wide HT-RNAi screens have been performed for major human pathogens. These studies enable first inter-viral comparisons related to HCF requirements. Although several cellular functions appear to be uniformly required for the life cycle of most viruses tested(such as the proteasome and the Golgi-mediated secretory pathways), some factors, like the lipid kinase Phosphatidylinositol 4-kinase Ⅲα in the case of hepatitis C virus, are selectively required for individual viruses. However, despite the amount of data available, we are still far away from a comprehensive understanding of the interplay between viruses and host factors. Major limitations towards this goal are the low sensitivity and specificity of such screens, resulting in limited overlap between different screens performed with the same virus. This review focuses on how statistical and bioinformatic analysis methods applied to HTRNAi screens can help overcoming these issues thus increasing the reliability and impact of such studies.

Interference Resistance of Pentamaran Ship Model With Asymmetric Outrigger Configurations

An experimental investigation is performed to assess the relation of interference performance on the total resistance of a pentamaran model advancing in calm water. For this motivation, the total drag of the ship is performed for several values of asymmetric outrigger configuration and hull separation, altering the Froude number in the range 0.3–0.9. Our results indicate that remarkable changes in resistance require notable changes in transverse distance values （hull separation） when wave interference may occur. In addition, there is no single configuration that consistently outperforms the other configurations across the entire speed range and the optimum interference factor -0.2 appears at a Froude number of 0.45 in S/L=0.33 with the outrigger outer position： asymmetric outboard for A3 configuration.

Blockage of PPARδ increases the expression of inflammatory factors in 3T3-L1 cells stimulated with TNFα

Objective： To investigate the role of peroxisome proliferator-activated receptors δ （PPARδ） in inflammatory reaction and its possible mechanism in adipocyte. Methods：Lentivirus-mediated RNA interference （RNAi） was used to block the expression of PPARδ in 3T3-L1 cells. In order to induce inflammation in 3T3-L1, cells were stimulated with tumor necrosis factor-α（TNFα, 20 ng/ml） for 4 h. The expression of PPARδ, nuclear factor κB （NFκB） and C reactive protein （CRP） were determined by Western blot analysis. Results：The expression of PPARδ was reduced by 80% after RNAi. Blockage of PPARδ promoted the expression of CRP and NFκB in cells stimulated with TNFα but had no effect on normal cells. Conclusion： PPARδ is involved in inflammatory reaction in adipocyte. Blockage of PPARδ can promote the inflammation mediated by inflammatory factors and increase the expression of NFκB and CRP in 3T3-L1 cells stimulated with TNFα.

Interlayer interference mechanism of multi-seam drainage in a CBM well:An example from Zhucang syncline

Based on the characteristics of the strong volatility of physical property in vertical direction, high gas content, high resource abundance and large exploitation potentiality of coal reservoir in Bide-Santang basin of Zhina coal field, we study the generation mechanism of interlayer interference, propagation rules of reservoir pressure drop and influencing factors of gas productivity in CBM multi-seam drainage in the paper. On the basis of the actual production data of X-2 well of Zhucang syncline in Bide-Santang basin,by simulating the gas production process of a CBM well under the condition of multiple seam with COMET3 numerical simulation software, we analyze the influencing factors of gas productivity during the process of multi-seam drainage, and illuminate the interlayer interference mechanism of multiseam drainage. The results show that permeability, reservoir pressure gradient, critical desorption pressure and fluid supply capacity of stratum have great influence on gas productivity of multi-seam drainage while coal thickness has little influence on it. Permeability, reservoir pressure gradient and fluid supply capacity of stratum affect the propagation velocity of reservoir pressure drop and thereby affect the final gas productivity. Moreover, the influence of critical desorption pressure on gas productivity of multiseam drainage is reflected in the gas breakthrough time and effective desorption area.

Antitumor effect of RNA interference on non-small- cell lung cancer in vivo

Objective： Lung cancer has emerged as a leading cause of cancer death in the world. Current therapies are ineffective, thus new approaches are needed to improve the therapeutic ratio. RNA interference （RNAi） has shown promise in gene silencing in vitro, the potential of which in developing new methods for the therapy of non-small-cell lung cancer （NSCLC） needs to be further tested in vivo. In this study, chemically synthesized double-stranded RNA （dsRNA） targeting epidermal growth factor receptor （EGFR） was transfected into NSCLC cell line SPC-A1 cells and established the tumor burdened athymic nude mice model to investigate whether dsRNA could induce gene silencing in NSCLC cells in vivo. Methods： SPC-A1 was transfected with EGFR sequence-specific dsRNA formulated with Lipofectamine 2000. SPC-A1 cells （1 × 107/ mL） in 200 pL were injected s.c. into the left flank area of the mice to establish the tumor burdened athymic nude mice model. Calculate the tumor growth inhibition rate by measuring the diameter and the weight of the tumor. Immunohistochemistry and Westem blot were used to monitor the reduction in the production of the EGFR protein. Realtime RT-PCR was used to detect the silencing of the EGFR mRNA level. Results： It displayed that EGFR sequence specific dsRNA （dsRNA-EGFR） significantly inhibited the tumor growth in vivo. The tumor growth inhibition rate was 75.03%. The dsRNA-EGFR sequence specifically silenced EGFR with 53.6% of down-regulation of EGFR protein production and 32.3% of silencing of EGFR mRNA level. Conclusion： DsRNA-EGFR showed a blockbuster effect in downregulation of EGFR mRNA level and protein production, and inhibition of tumor growth in vivo.

紫外分光光度法测定歧化松香中去氢枞酸含量的干扰因素研究

利用液相色谱仪、制备液相色谱仪、气相色谱质谱联用仪,对歧化松香(DR)中去氢枞酸(DA)紫外光谱测定方法的干扰因素进行了详细研究。测定的市售不同省份的5个样品中有2个主要干扰物质,进一步定性,确定干扰物质1为6,8,11,13-枞四烯酸(ATA),干扰物质2为混合物,主要检出物为去氢枞醛(D)和枞酸(AA)。采用二阶导数光谱法和偏最小二乘(PLS)法对紫外光谱数据进行分析,以消除去氢枞酸紫外分光光度法的干扰,结果表明:PLS法比二阶导数光谱法误差更小,能够同时消除多种干扰因素,使测试结果更加接近真实值。

基于场景感知的访问控制模型

动态访问控制模型是构建大数据动态访问控制系统的理论基础,而现有访问控制模型大多只能满足单一情景下的动态访问控制,无法适应大数据上下文环境变化、实体关系变更和客体状态变迁等多类型动态情景中的访问控制。针对上述问题,在现有访问控制模型的研究的基础上,对大数据动态因素进行分析,提出基于场景感知的访问控制(SAAC,scenario-aware access control)模型。将各类型动态因素转换为属性、关系等基本元素;并引入场景信息对各类组成元素进行统一建模;基于场景信息构建大数据动态访问控制模型,以实现对多类型动态因素、扩展动态因素的支持。设计SAAC模型的工作框架,并提出框架工作流程对应的基于场景感知的访问控制模型规则学习算法和SAAC规则执行算法,以实现访问控制规则自动学习和动态访问控制决策。通过引入非传递无干扰理论,分析并验证了对所提模型的安全性。为验证所提模型访问控制策略挖掘方法的有效性,将SAAC模型与ABAC-L、PBAC-X、DTRM和FB-CAAC等基线模型在4个数据集上进行了实验对比。实验结果表明,SAAC模型及其策略挖掘方法的ROC曲线的线下面积、单调性和陡峭度等指标的结果均优于基线模型,验证了所提模型能够支持多类型动态因素和动态因素扩展,其挖掘算法所得的访问控制规则的综合质量相对较高。

东胜气田致密高含水气藏合采气井层间干扰影响因素

为了明确鄂尔多斯盆地北缘致密高含水气藏合采气井层间干扰及其影响因素,指导同类型气藏合采气井高效开发,以该盆地北缘东胜气田致密高含水气藏为研究对象,分析了储集层地质条件、储集层改造对合采井产层段贡献的影响,指出了该类合采气井层间干扰的主控因素。研究结果表明:(1)合采井各产层段贡献率主要受各产层段的孔隙度、渗透率及含气饱和度控制,其产层段孔隙度占主导地位;(2)储层压裂改造对于提高气井产量具有较大的作用,但对合采井各产层段的贡献率却很小;(3)对于致密高含水气藏而言,含气饱和度是合采井产层段贡献率及层间干扰的一个重要影响因子;(4)合采井各产层段之间的孔隙度级差、渗透率级差及含气饱和度级差直接影响着合采井层间干扰程度。结论认为:(1)合采井产层段的孔隙度越大、渗透性越好、含气饱和度越高,则产层段的产量贡献率越大;(2)合采井孔隙度、渗透率及含气饱和度3个参数的级差越大,层间干扰程度越大,当孔隙度级差大于1.248或渗透率级差大于2.69或含气饱和度级差大于1.22时,合采井层间干扰已经非常严重,亟需开展治理。

草地植物生殖分配研究进展

植物生殖分配调控着植物营养生长与生殖生长的平衡,从而影响种群的更新速度,最终改变群落结构及演替方向。因此,研究植物生殖分配对草地生态系统稳定和可持续发展至关重要。本文通过文献综述方法,系统地梳理了草地生态系统植物生殖分配的相关研究理论及影响因素,学者们先后基于最优控制理论、生活史理论和生物量分配理论提出光合补偿机制、养分循环假说、时间限制假说、r/k策略、资源可用性假说等,以解释自然环境因素、植物自身因素和人为干扰因素等调控植物生殖分配的机制。然而,草地植物对诸多因素(植株形态性状、自然灾害、放牧、刈割、外源养分添加等)的生殖分配响应仍存在争议,且复杂因素(气候变化、生境条件、植物间竞争等)及多因素协作的过程和驱动机制不清晰。基于此,建议从多维度解析草地植物生殖分配策略及驱动机制,以期为促进草地生态系统更新及正向演替、提高草地资源利用率的研究提供理论依据。

PCIF1基因敲低细胞系的构建及其对猪流行性腹泻病毒复制影响的探究

【目的】旨在构建甲基转移酶——磷酸化C端结构域相互作用因子1(PCIF1)敲低细胞系,为探索PCIF1对猪流行性腹泻病毒(PEDV)复制及其分子机制研究提供试验基础。【方法】利用RNA干扰(RNAi)技术构建PCIF1基因敲低(PCIF1-KD)细胞系。首先构建PCIF1基因特异性靶向干扰载体——pcDNA3.1-Double U6-mCherry-sh PCIF1,后经脂质体介导转染至非洲绿猴肾细胞(Vero-81),并通过遗传霉素筛选、富集PCIF1-KD重组细胞,以RT-qPCR和Western blotting检测PCIF1基因的敲低效果,并验证PEDV在获得的重组敲低细胞上的增殖能力。【结果】(1)重组干扰质粒经测序显示基因序列正确,证明成功构建PCIF1干扰质粒;(2)RT-qPCR和Western blotting试验结果表明,重组Vero-81细胞中PCIF1被显著敲低,获得了稳定的PCIF1-KD重组细胞系sh-△PCIF1-Vero-81;(3)PEDV感染验证发现PEDV在sh-△PCIF1-Vero-81细胞的增殖水平被显著抑制,且在感染后24~36 h病毒mRNA表达水平和蛋白表达水平均被进一步抑制。【结论】利用RNAi技术成功构建了一株稳定敲低PCIF1基因的细胞系sh-△PCIF1-Vero-81,PCIF1基因的沉默对PEDV的复制具有显著的抑制作用,且抑制程度随着时间增加而增加。研究结果可为进一步探究PCIF1对PEDV的影响或相互作用的分子机制提供有力工具和参考。

突发脉冲干扰下的白鲸哨声端点检测方法

针对圈养条件下大量突发脉冲干扰影响白鲸哨声检测的问题,提出了一种可调Q因子小波变换(TQWT)结合自适应谱聚类的无监督哨声信号检测方法。对原始信号做高Q因子的小波分解,并以平均小波系数作为检验统计量完成哨声端点粗检测,排除静默时间段与低强度脉冲干扰;在此基础上使用局部密度自适应谱聚类进一步区分哨声与强脉冲干扰,完成白鲸哨声检测。使用实采的白鲸信号测试该检测器性能并计算其F_(1)分数。该检测器在两段测试信号下分别获得了0.9487和0.9429的F_(1)分数,且在大数据量情况下明显优于由k-means聚类或传统谱聚类构成的检测器,具有更高的鲁棒性。