汽车风挡玻璃的鉴别方法研究

目的研究油浸法和X射线荧光光谱法对汽车风挡玻璃的鉴别能力。方法应用油浸法对30个风挡玻璃样品进行折射率测试，并将所得数据进行t检验分析。对不能区分的样品再用X射线荧光光谱进行元素成分分析。结果30个样品共组成的435对中，折射率t检验在置信度959／5时区分427对，其余8对通过元素成分实现区分。结论折射率测试和元素分析相结合，可对常见汽车风挡玻璃进行有效区分。     

油浸法测定玻璃折射率的不确定度评定

目的建立油浸法测定玻璃折射率不确定度的评定方法。方法按照不确定度的A类和B类评定方法,对未知玻璃折射率测定过程中不确定度分量进行计算,最终确定扩展部不确定度。结果油浸法测定玻璃折射率的扩展不确定度约为4×10-5。结论根据不确定度计算出来的折射率的变化范围与实际分析中折射率的变化范围完全吻合。     

SEM检验漆膜厚度鉴别同种颜色的汽车油漆

目的研究扫描电子显微镜测量漆膜厚度的方法对颜色相近的汽车油漆的区分能力。方法应用扫描电子显微镜对不同汽车厂家生产的12块蓝色油漆进行总厚度及分层厚度测量,并对所得数据进行t检验分析。结果在所有两两比对的66组样品对中,在置信度为95％时,用总厚度及分层厚度进行区分,区分率达到100％。结论用扫描电子显微镜微观测量油漆样品总厚度及分层厚度的方法,可对颜色相近的汽车油漆进行有效区分。     

机动车外后视镜对人体损伤的研究

目的探讨机动车外后视镜对人体损伤的特点。方法对10例于1990—2005年间在华西医科大学法医学院鉴定的案例进行回顾性的调查，所有研究对象均为机动车外后视镜损伤患者。结果在车内驾驶员为左眼损伤，前排乘客为右眼损伤，均被同则外后视镜碎片所致，而在车外分为两类，一类为骑自行车的中学生，被外后视镜撞伤，以颅脑损伤居多，另一类为行走老年人，被后视镜撞伤，表现为四肢骨折。结论根据其受伤特征，提出相应的预防措施。     

蓝色电工胶带的扫描电镜／能谱法检验

目的研究不同品牌蓝色电工胶带的检验方法。方法利用扫描电镜／能谱法对蓝色电工胶带进行检验。结果11个厂家生产的15种品牌的蓝色电工胶带组成的105组样品对有104组可以区分,区分率达到99．0％。结论扫描电镜／能谱法能够区分绝大多数蓝色电工胶带,该方法具有操作简便、快速、结果准确的优点,能够用于同色电工胶带的鉴别。     

区分职务发明与非职务发明的法定标准--从清华大学诉北京市专利管理局确认专利权归属案说起

【案情简介】原告：清华大学被告：北京市专利管理局第三人：李世卿案由：确认专利权归属纠纷案号：（１９９８）一中知初字第４３号１９９０年５月，第三人李世卿以自己通过不同弧面汽车后视镜的对比、复合试验而取得的后视镜面型技术方案向国家专利局申请了名为“车辆外置后视镜”实用新型专利（专利号：９０２０６８９４．６，以下简称“９０专利”），并于１９９１年４月３日获得授权，该专利权利要求书载明：“１．一种后视镜，其特征在于镜面由多个不同的曲率半径的面圆滑连接而成的复合曲面，从上至下曲率半径越来越小，上半部镜面曲…     

运用光谱成像技术区分同色棉纤维

目的研究同色棉纤维的检验方法。方法运用成像光谱法对红、蓝、黑3个颜色组的棉纤维进行区分。结果红色棉纤维的鉴别率为62．2％，蓝色棉纤维的鉴别率为77．8％，黑色棉纤维的鉴别率为69．6％。结论实验结果表明，光谱成像技术可以区分大部分同色棉纤维。拓宽了纤维检验的方法，解决了同色棉纤维的区分问题，该方法能够用于对微量同色棉纤维的快速鉴别。     

机动车外后视镜对人体损伤的研究

目的探讨机动车外后视镜对人体损伤的特点。方法对10例于1990-2005年间在华西医科大学法医学院鉴定的案例进行回顾性的调查,所有研究对象均为机动车外后视镜损伤患者。结果在车内驾驶员为左眼损伤,前排乘客为右眼损伤,均被同则外后视镜碎片所致,而在车外分为两类,一类为骑自行车的中学生,被外后视镜撞伤,以颅脑损伤居多,另一类为行走老年人,被后视镜撞伤,表现为四肢骨折。结论根据其受伤特征,提出相应的预防措施。     

X射线荧光光谱法检测玻璃中的常量和微量元素

应用X射线荧光光谱法对常见玻璃物证进行了实验研究,在样品量为mg级时,不但检出Si、Ca等主体元素,还能检出As、Zr、Sr等微量元素.用该方法既可对玻璃的种类进行鉴别,还可对某些种类的玻璃做进一步的区分.     

玻璃折射率数据处理方法初探

目的探讨玻璃折射率数据处理方法。方法将案件中收集到的45个玻璃样品和同一个车灯不同部位的45块玻璃样品进行折射率测定。用独立样本Student’st检验、welch检验以及方差分析（ANOVA）对数据进行成对检验。结果方差分析法中Dunnett’s C法处理玻璃折射率数据,有效控制了第一类和第二类错误。当α=0．05时,犯第一类错误的概率约为4．44％,犯第二类错误的概率约为3．54％。     

Mixed effects modelling for glass category estimation from glass refractive indices

520 Glass fragments were taken from 105 glass items. Each item was either a container, a window, or glass from an automobile. Each of these three classes of use are defined as glass categories. Refractive indexes were measured both before, and after a programme of re-annealing. Because the refractive index of each fragment could not in itself be observed before and after re-annealing, a model based approach was used to estimate the change in refractive index for each glass category. It was found that less complex estimation methods would be equivalent to the full model, and were subsequently used. The change in refractive index was then used to calculate a measure of the evidential value for each item belonging to each glass category. The distributions of refractive index change were considered for each glass category, and it was found that, possibly due to small samples, members of the normal family would not adequately model the refractive index changes within two of the use types considered here. Two alternative approaches to modelling the change in refractive index were used, one employed more established kernel density estimates, the other a newer approach called log-concave estimation. Either method when applied to the change in refractive index was found to give good estimates of glass category, however, on all performance metrics kernel density estimates were found to be slightly better than log-concave estimates, although the estimates from log-concave estimation prossessed properties which had some qualitative appeal not encapsulated in the selected measures of performance. These results and implications of these two methods of estimating probability densities for glass refractive indexes are discussed.     

The effect of re-annealing on the distribution of refractive index in a windscreen and a windowpane classification of glass samples

Tiny glass fragments of two typical objects being of interest in forensic investigations: car windscreen and windowpane were examined from the point of view of their importance as crime evidence. Both examined objects were made from float glass and were toughened. The present paper concerns examination of refractive index distribution across the objects under investigation before and after the glass fragments were annealed according to previously chosen procedure. The annealing procedure was carried out in order to increase discrimination power of refractive index (RI). The following conclusions can be drawn from the results obtained. For both examined objects the mean RI was significantly higher after annealing and, at the same time, standard deviations in RI were smaller. The distributions of RI for both examined objects appeared not to be normal; the deviations from normality were observed at both sides of RI distributions. It was found that the difference in the values DeltaRI (difference between mean values of RI after annealing and before annealing) for both examined object was not significant and thus it would be not a good parameter to differentiate between two heat strengthen objects. The attempt to classify 181 glass samples on the basis of theirs RI and DeltaRI was performed. Increased discrimination of glass samples was observed.     

An investigation into the relationship between edge counts and the variability of the refractive index of glass. Part I: Edge morphology

The effect of glass fragment morphology on the variability of refractive index values in five different glass objects was investigated. Data are presented that suggest that the variability of refractive index values is increased when fragment edge morphology becomes unsuitable for phase contrast microscopy.     

3.9. Attempts at typing ABO blood groups in individual human hairs of less than 4 cm length

Approximately 350 glass samples of known origin, encompassing most of the types of glass likely to be encountered in forensic science casework, have been analysed by inductively coupled plasma-atomic-emission spectrometry. The samples included 123 window glasses, 56 vehicle glasses, 91 container glasses and 58 tableware glasses. The analytical procedure provided the quantitative levels of manganese, iron, magnesium, aluminium and barium in the samples. The data for the elemental concentrations, together with refractive index, are presented in histogram form.     

Bayesian mixture modelling for glass refractive index measurement

Glass is a common type of physical evidence in forensic science. Broken glass recovered from a suspect may have similar physical characteristics to glass collected at a crime scene and therefore can be used as evidence. Statistical treatment of this evidence involves computing a measure of the weight of evidence. This may be done in a Bayesian framework that incorporates information from the circumstances of the crime. One of the most crucial quantities in this calculation is the assessment of the relative rarity of the characteristics of the glass, essentially the probability distribution used to model the physical characteristics of recovered glass. Typical characteristics used in casework are the elemental composition of glass and the refractive index measurement. There is a considerable body of scientific literature devoted to the modelling of this information. For example a kernel density estimation has been used to model the background population of glass based on the refractive index measurement and a multivariate Gaussian finite mixture model has been used to model the elemental composition of glass. In this paper, we present an alternative approach, the Dirichlet Process Mixture Model, to model the glass refractive index measurement in a Bayesian methodology. A key advantage is that using this method allows us to model the probability density distribution of refractive index measurements in a more flexible way.     

Elemental analysis by energy dispersive x-ray: a significant factor in the forensic analysis of glass.

Eighty-one glass samples were analyzed by EDX; two were indistinguishable. However, when the physical properties of the glass samples were considered, all glass samples were distinguishable from each other. The need to examine glass with respect not only to physical properties but also to elemental composition has been demonstrated. The authors believe that if glass is examined only by density and refractive indexes it is quite possible to conclude incorrectly that glass samples with the same physical qualities could have originated from the same source. To confirm that the glass specimens may have in fact originated from the same source their elemental compositions in addition to density and refractive indexes must be determined. The analysis by EDX of glass samples can selectively eliminate most specimens on the basis of elemental differences. If this step is performed prior to refractive index or density measurements considerable time savings can be realized in casework situations.     

Spatial variation of refractive index in a pane of float glass.

In the statistical interpretation of forensic glass evidence it is standard practice to make the assumption of homogeneity of the refractive index (RI) of the source glass, or of localized homogeneity. However, the work of Locke and Hayes showed that, for toughened windscreen glass, this assumption might not be true. This work is well cited, but there appears to have been little follow-on published research. Furthermore, the toughening process is something known to affect the refractive index, and is a process that float glass does not undergo. Float glass is a major component of casework in New Zealand and for that reason it would be interesting to know whether the findings of Locke and Hayes apply when dealing with float glass. In this paper we describe an experiment similar to that of Locke and Hayes, systematically examining the variation of RI in a pane of float window glass. It was found that, although there were no systematic differences in refractive index, there were observable differences across the pane.     

平板玻璃受热后折射率的变化规律初探

目的探索平板玻璃受热后折射率的变化规律。方法首先采用差示扫描量热仪测定玻璃样品的转变温度Tg,将样品加热至不同的温度(温度范围从室温到Tg以上),自然冷却至室温后再用GRIM3测量折射率。结果加热温度在Tg以下时,玻璃的折射率基本不变,加热温度在Tg以上时,折射率有明显变化。结论对于从火灾和爆炸现场提取的玻璃,在进行折射率比对时应当考虑现场高温对测量值的影响,并进行必要的修正。     

An investigation into the spatial elemental distribution within a pane of glass by time of flight secondary ion mass spectrometry

Advances in the technology employed for the manufacture of glass have resulted in a final glass product with little variability in terms of its physical and optical properties. For example, the refractive index of Australian float glass tends to lie between 1.5189 and 1.5194. It has therefore become necessary to complement physical and optical methods for forensic glass comparison with instrumental elemental analyses. In a previous study, time-of-flight secondary ion mass spectrometry has been shown to offer potential for the analysis of glass particles as small as a few tens of microns across. In this study, the three-dimensional homogeneity of a sheet of float glass is described, and consequences for forensic elemental analysis of glass particles of such size are explored. Variation in Si, Ca, Mg, and Na levels immediately under the nonfloat surface was observed, with the variance accompanied by a decrease in refractive index.