江西景德镇地区汉族7项不对称行为特征的研究

对江西景德镇地区381例(男226例,女155例)汉族学生扣手、利手、交叉臂、交叉腿、利足、起步类型和优势眼7项不对称行为特征进行了调查,结果表明:(1)景德镇汉族7项不对称行为特征中,男女合计右型出现率均高于左型出现率,仅利手存在性别间统计学显著差异;(2)同国内族群相比,7项不对称行为特征出现率更接近于南亚类型;(3)除优势眼、交叉臂外,其他5项间存在两两相关关系,部分指标相关极显著,大部分特征右型-右型组合(R-R 型)出现率高于左型-左型组合(L-L 型)出现率     

客源充足情境下的customer-intensive服务策略研究

在customer-intensive服务中服务速度越慢,顾客的效用就越高,然而等待时间也随之变长;而服务商则需对服务速度和价格进行决策,以求获得最优收益。本文基于客源丰富的服务垄断商对此问题采用M/M/1排队模型进行了研究,将顾客成本细分为时间成本和焦虑成本,给出了最优服务速度和价格。研究发现,单位焦虑成本的增加造成了服务商收益的减少,但对收益的影响要小于单位时间成本。最后,提出了服务商投入一定的服务成本来减少焦虑成本的策略,以达到获取更高收益的目的,并证明了策略的有效性。     

Statistical Approach of Gene Set Analysis with Quantitative Trait Loci for Crop Gene Expression Studies

Genome-wide expression study is a powerful genomic technology to quantify expression dynamics of genes in a genome. In gene expression study, gene set analysis has become the first choice to gain insights into the underlying biology of diseases or stresses in plants. It also reduces the complexity of statistical analysis and enhances the explanatory power of the obtained results from the primary downstream differential expression analysis. The gene set analysis approaches are well developed in microarrays and RNA-seq gene expression data analysis. These approaches mainly focus on analyzing the gene sets with gene ontology or pathway annotation data. However, in plant biology, such methods may not establish any formal relationship between the genotypes and the phenotypes, as most of the traits are quantitative and controlled by polygenes. The existing Quantitative Trait Loci (QTL)-based gene set analysis approaches only focus on the over-representation analysis of the selected genes while ignoring their associated gene scores. Therefore, we developed an innovative statistical approach, GSQSeq, to analyze the gene sets with trait enriched QTL data. This approach considers the associated differential expression scores of genes while analyzing the gene sets. The performance of the developed method was tested on five different crop gene expression datasets obtained from real crop gene expression studies. Our analytical results indicated that the trait-specific analysis of gene sets was more robust and successful through the proposed approach than existing techniques. Further, the developed method provides a valuable platform for integrating the gene expression data with QTL data.     

论张爱玲作品中女性身份建构之策略

囿于特定生存环境和传统写作规范的影响,张爱玲经历了作为作家与作为女性身份的双重焦虑。张爱玲通过日常生活和女性生存的书写建构女性身份。她对日常生活的发现和重视,使日常生活重返写作场域;她从女性视角书写女性,让我们看到女性作家如何做到忠于其生活、历史文化现实及其自身的性别特质。     

高师毕业生焦虑倾向与社会支持的关系

目的:研究高师毕业生焦虑倾向与社会支持的关系。方法:采用状态—特质焦虑问卷和社会支持评定量表对300名高师毕业生进行测查。结果:1在特质焦虑方面,文科得分显著高于理科(P<.05),独生子得分显著高于非独生子(P<.05);2状态非焦虑组在客观支持、主观支持和利用度得分显著高于状态焦虑组(P<.05);3特质焦虑组在客观支持和主观支持得分显著高于非特质焦虑组;4客观支持、主观支持、利用度与状态焦虑、特质焦虑呈负相关;客观支持、主观支持对状态焦虑、特质焦虑均有较高预测力。结论:高师毕业生焦虑与社会支持有密切的关系,非焦虑组的高师毕业生的社会支持状况显著好于焦虑组的高师毕业生。     

高中生焦虑、抑郁与领悟社会支持关系的研究

目的探讨中学生焦虑、抑郁与领悟社会支持的关系。方法用焦虑自评量表、抑郁自评量表和领悟社会支持量表对562名高中生进行心理健康测评。结果562名高中生中226名（41．6％）有焦虑症状,356名（65．6%）有抑郁症状;焦虑、抑郁与领悟社会支持呈非常显著负相关;在领悟家庭外支持方面,女生高于男生;高领悟组的SAS、SDS得分低于低领悟组。结论高中生易出现焦虑、抑郁情绪,领悟社会支持可调节其不良情绪。     

普通小麦品种主要性状的灰色关联度和相关性分析

运用相关分析和灰色关联分析法,对20份皖北小麦主栽品种进行遗传性状分析,以探讨品种产量影响因素之间的相互关系,旨在为小麦的遗传改良与育种利用提供依据。结果表明,各农艺性状与产量的灰色关联度大小顺序为:千粒重,小穗数,小穗粒数,粒宽,小穗密度,粒长,穗长,株高,分蘖数和护颖长短。其中千粒重、小穗数和小穗粒数是制约产量的最大因素;粒宽、小穗密度、粒长、穗长、株高、分蘖数和护颖长对产量制约力依次变小。因此,高产育种时,宜考虑选择有效穗数、穗粒数和千粒重高的小麦品种。     

广泛性焦虑大鼠前额叶皮质和海马磁共振波谱的研究

以广泛性焦虑大鼠为研究载体,探讨其前额叶皮质和海马组织质子磁共振波谱(1H-MRS)的变化及意义.大鼠分为正常组和模型组各8只,采用慢性情绪应激的方法建立广泛性焦虑大鼠模型,以国际公认的高架十字迷宫试验对其进行评价,在活体状态下,通过pharmascan70/16超导磁共振仪(7.0T)检测双侧海马及前额叶皮质N-乙酰天门冬氨酸(NAA)、胆碱(Cho)、谷氨酸(Glu)、肌酸(Cr)等代谢物水平,分别计算NAA、Cho和Glu与Cr的比值,进而对脑组织代谢进行定性及定量分析.正常组与广泛性焦虑组双侧海马及左侧前额叶皮质代谢物无明显差异(P0.05),广泛性焦虑大鼠右侧前额叶皮质NAA、Cho相对浓度较正常组显著降低(P0.05),Glu相对浓度则明显升高(P0.05).慢性焦虑情绪的产生可能与右侧前额叶皮质兴奋性神经递质谷氨酸的浓度升高、神经元的损伤或数量减少及细胞内信号转导的异常有关.     

Bin-based model construction and analytical strategies for dissecting complex traits with chromosome segment substitution lines

Chromosome segment substitution lines have been created in several experimental models,including many plant and animal species,and are useful tools for the genetic analysis and mapping of complex traits.The traditional t-test is usually applied to identify a quantitative trait locus (QTL) that is contained within a chromosome segment to estimate the QTL’s effect.However,current methods cannot uncover the entire genetic structure of complex traits.For example,current methods cannot distinguish between main effects and epistatic effects.In this paper,a linear epistatic model was constructed to dissect complex traits.First,all the long substituted segments were divided into overlapping small bins,and each small bin was considered a unique independent variable.The genetic model for complex traits was then constructed.When considering all the possible main effects and epistatic effects,the dimensions of the linear model can become extremely high.Therefore,variable selection via stepwise regression (Bin-REG) was proposed for the epistatic QTL analysis in the present study.Furthermore,we tested the feasibility of using the LASSO (least absolute shrinkage and selection operator) algorithm to estimate epistatic effects,examined the fully Bayesian SSVS (stochastic search variable selection) approach,tested the empirical Bayes (E-BAYES) method,and evaluated the penalized likelihood (PENAL) method for mapping epistatic QTLs.Simulation studies suggested that all of the above methods,excluding the LASSO and PENAL approaches,performed satisfactorily.The Bin-REG method appears to outperform all other methods in terms of estimating positions and effects.     

论施蛰存历史题材小说的存在之思

施蛰存的历史题材小说是他“独自去走一条新路径”的杰作,是作者在现在时间中完成的对历史的理解,目的在于显示个体精神人格的多元性和复杂性。在这类历史题材小说中,作者消解了得道高僧、民族英雄之辈堂皇的冠冕,以分裂的姿态诠释着一种生存的悖论。施蛰存为他历史题材小说中的个体人格自我构筑了一种独特的表述体系,即“内自我一假自我”系统,揭示了其本质的生存状态：焦虑。这种焦虑主要表现为对罪过的焦虑。