Behavioral signatures of structured feature detection during courtship in Drosophila

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On Model-Choice in Discrimination with Categorical Variables

An algorithm for model selection in discrimination with categorical variables is presented. It is based on four models applied hierarchically and linked with a build-up procedure of feature-selection. The choice of models and features is ensured by a consequent cross-validation. Results of an application in medical diagnostics are described.     

环青海湖地区天然草地时序光谱特征参量分析

获取了环青海湖地区4类主要天然草地2003年5~10月共16个时相的地面高分辨率光谱数据,并利用植被指数技术、导数光谱技术、植被光谱维特征提取模型及包络线归一化技术提取了多个光谱特征参量,通过对各参量在生育期内分布规律的分析,给出了能较好地表征草地生长发育规律时序特征参量的具体分布;最后计算了4类天然草地各时序特征参量的平均散度,结果表明黄边位置λY、红边位置λV、红边斜率SV、绿峰半高宽wλG、红谷半高宽wλR、去包络红谷净面积AR'和归一化植被指数NDV I对于天然草地分类更有效。     

Pattern classification of kinematic and kinetic running data to distinguish gender,shod/barefoot and injury groups with feature ranking

The identification of differences between groups is often important in biomechanics. This paper presents group classification tasks using kinetic and kinematic data from a prospective running injury study. Groups composed of gender, of shod/barefoot running and of runners who developed patellofemoral pain syndrome (PFPS) during the study, and asymptotic runners were classified.

The features computed from the biomechanical data were deliberately chosen to be generic. Therefore, they were suited for different biomechanical measurements and classification tasks without adaptation to the input signals. Feature ranking was applied to reveal the relevance of each feature to the classification task.

Data from 80 runners were analysed for gender and shod/barefoot classification, while 12 runners were investigated in the injury classification task. Gender groups could be differentiated with 84.7%, shod/barefoot running with 98.3%, and PFPS with 100% classification rate. For the latter group, one single variable could be identified that alone allowed discrimination.     

Automated analysis of courtship suppression learning and memory in Drosophila melanogaster

Study of the fruit fly, Drosophila melanogaster, has yielded important insights into the underlying molecular mechanisms of learning and memory. Courtship conditioning is a well-established behavioral assay used to study Drosophila learning and memory. Here, we describe the development of software to analyze courtship suppression assay data that correctly identifies normal or abnormal learning and memory traits of individual flies. Development of this automated analysis software will significantly enhance our ability to use this assay in large-scale genetic screens and disease modeling. The software increases the consistency, objectivity, and types of data generated.     

峨眉髭蟾精子形态结构及分类学意义

应用透射电镜、扫描电镜和光学显微镜对峨眉髭蟾(Vibrissaphoraboringii)精子的形态和超微结构研究的结果表明:峨眉髭蟾的精子具角蟾科物种精子基本的形态和结构特征,即精子头部呈螺旋状,尾部呈弯曲状;精子具锥形的顶体、纤维束构成的穿孔器、平行排列的中心粒和双轴丝;线粒体位于尾部;精子核窝不明显、无轴纤维和波动膜等特征。此外,对已有报道的角蟾科和无尾类物种精子的特征进行分析比较表明:(1)角蟾科精子细胞核呈螺旋状,中心粒平行排列,尾部具双轴丝等结构不同于无尾类其他科精子的结构,具有明显的科间差别;(2)角蟾科精子各部的量度,尾部线粒体的分布和数量,以及轴丝的排列等特征在属间和种间表现出明显的差异;(3)峨眉髭蟾和东南亚拟髭蟾指名亚种精子的形态和超微结构存在明显的差异。     

长链非编码RNA及其与疾病相关性的研究进展*

人类基因组中,用于蛋白质编码的核酸序列约占1.5%,另外98.5%的非蛋白编码基因被视为"噪音"序列,并未引起人们的注意。随着测序技术的发展,人们发现大部分的基因被转录成RNA,其中多数为长度大于200nt且不编码蛋白质的长链非编码RNA(Long non-coding RNA, lncRNA),其作用机制包括支架分子、引导分子等,广泛参与细胞发育、增殖及迁移过程,且其水平的改变又与肿瘤、代谢性疾病等相关。本文主要对lncRNA的分类、作用机制及涉及的疾病等进行综述,为进一步研究lncRNA的功能机制奠定基础。     

凝溶胶蛋白基因的生物学功能及其应用研究进展

凝溶胶蛋白(gelsolin,GSN)是Gelsolin/Villin超家族的核心成员,是一种多功能的钙依赖性肌动蛋白结合蛋白,在细胞中Ca^2+和PIP2等多因素的调控下,对细胞凋亡、吞噬功能、肌动蛋白微丝切割、细胞信号转导等方面起着重要的作用。近年来,凝溶胶蛋白还被频繁用于相关疾病的预防、诊断与治疗,但其在调控细胞凋亡、炎症等病理生理中的作用机制还存在些许争议。本研究综述了凝溶胶蛋白的结构特点、生物学功能以及对疾病的诊断和治疗,旨在了解凝溶胶蛋白在生物医学及动物科学等领域的应用以及未来凝溶胶蛋白的发展前景。