液相色谱-三重四级杆/线性离子阱串联质谱法测定血液中1-(4-甲氧基苯基)哌嗪

目的建立血液中1-(4-甲氧基苯基)哌嗪的液相色谱-三重四级杆/线性离子阱串联质谱(LC-QTrap-MS/MS)的快速检测方法。方法血液经乙腈沉淀蛋白后,振荡、离心、经微孔滤膜过滤后供仪器分析;选用Phenomenex Kinetx®5.0μm Biphenyl 100Å(100mm×2.1mm)分离,柱温40℃;以0.1%甲酸水溶液-乙腈为流动相,流速0.5mL/min,梯度洗脱5.5min;以多反应监测(MRM)-信息依赖性采集(IDA)-增强子离子扫描(EPI)-谱库检索的模式进行分析,外标-标准曲线法进行定量分析。结果血液中1-(4-甲氧基苯基)哌嗪的浓度在2~200ng/mL范围内呈现良好的线性关系,相关系数达到0.9984,回收率在87%以上,日内精密度在5%以下,日间精密度在10%以下,方法的检出限是0.8ng/mL,定量限是2ng/mL。结论该方法采用LC-QTrap-MS/MS和MRM-IDA-EPI模式,既保持与MRM相同的定量灵敏度,也能提供更为丰富的二级质谱碎片,使定性结果更加准确。方法简单快捷,专属性好,回收率高,重现性好,能够用于血液中1-(4-甲氧基苯基)哌嗪同时定性和定量分析。     

Overdispersion and Poisson Regression

This article discusses the use of regression models for count data. A claim is often made in criminology applications that the negative binomial distribution is the conditional distribution of choice when for a count response variable there is evidence of overdispersion. Some go on to assert that the overdisperson problem can be “solved” when the negative binomial distribution is used instead of the more conventional Poisson distribution. In this paper, we review the assumptions required for both distributions and show that only under very special circumstances are these claims true.

X线摄影测量活体胫腓骨长度推算身高

目的应用计算机X线摄影（computer radiography,CR）测量活体胫腓骨长度,建立适合当代中国北方汉族人群胫腓骨长度推算身高的数学模型。方法在422例（男性207例．女性215例）活体山东汉族成年人的胫腓骨正位CR片上测量5项长度指标,同时测量其身高。通过各项测量指标与身高的线性回归分析、线性回归模型假设检验的方差分析以及偏回归系数的t检验．建立运用胫腓骨长度推算身高的回归方程;并对所建立的方程进行身高预测值与真实值的配对t检验、残差分析等方程的预测与诊断。结果共建立有统计学意义的一元回归方程35个一所建立的回归方程的相关系数在0．909～0．823范围内．回归方程的估计值标准误在2．48～3．87cm范围结论应用CR放射学方法测量胫腓骨长度推算身高．可以为法医学个人识别身高推算提供帮助,建立的回归方程适用于中国北方汉族人群胫腓骨的身高推算。     

中国男性青少年骨龄鉴定方法

目的研制我国当代男性青少年骨关节X线的法医学骨龄鉴定标准。方法摄取11～20周岁男性青少年X线片,根据继发骨化中心出现、干-骺闭合的影像学特征将骨发育程度分级,用SPSS、SAS软件统计分析。结果大部分指标与年龄呈中度以上相关;建立了推断年龄的最优多元回归方程及判定是否已满14、16和18周岁的判别方程。结论选用多部位、多指标综合推断骨龄可提高准确率;该法适用于国人青少年活体年龄的判定。     

Stature Estimation Formulae for Nigerians

Abstract:  In stature estimation, long limbs and the stature formula of Trotter and Gleser easily come to mind. In the recent past, a lot of workers have established formulae specific to their populations using whole length of limbs, fragmented bones, circumference of long bones, and even length of the vertebrae. We have in this work used tibia length, height of subjects, and the regression models to establish formulae specific to Nigerians. We measured height and tibia length of 200 (96 male and 104 female) adult Nigerians. The tibia length was measured from upper limit of the medial condoyle to the tip of medial malleolus using a measuring tape calibrated in meters while the height of individuals were also measured using meter scales. All measurements were made by one person, to avoid interobserver error, and repeatedly until a constant value is obtained. We obtained general formulae for males and females which compares favorably with that of Duyar and Pelin, and can be relied upon.     

Stature Estimation from Foot Length Using Universal Regression Formula in a North Indian Population

Abstract:  Stature is a significant parameter in establishing identity of an unknown. Conventionally, researchers derive regression formula separately for males and females. Sex, however, may not always be determined accurately, particularly in dismembered remains and thus the need for a universal regression formula for stature estimation irrespective of sex of an individual. The study was carried out in an endogamous group of North India to compare the accuracy of sex-specific regression models for stature estimation from foot length with the models derived when the sex was presumed as unknown. The study reveals that regression equation derived for the latter can estimate stature with reasonable accuracy. Thus, stature can be estimated accurately from foot length by regression analysis even when sex remains unknown.     

中国黑龙江地区汉族未成年人的牙钙化程度及年龄推断

目的探讨未成年人牙齿钙化程度与其年龄的关系,建立根据牙齿钙化程度推断未成年人年龄的方法。方法拍摄黑龙江地区1510名未成年人（男737名,女773名,年龄6～15周岁）牙齿曲面断层影像片,利用计算机观察全口曲面断层影像片中下颌恒牙牙位处钙化程度的影像特征,并建立牙齿钙化分级评分标准,然后根据此标准对下颌牙齿进行分级评分;将其结果输入SPSS13.0软件统计,按α=0.05对牙齿钙化分值分性别分年龄段组进行非参数检验和与年龄的相关性分析,最终建立根据牙齿钙化程度推断年龄的回归方程。结果同名牙左右侧无差异（P〉0.05）,而性别间有差异（P〈0.05）;男女性下颌牙齿的钙化程度均与年龄高度相关（r〉0.7）;所建方程模型合理可靠,盲测结果显示推断年龄与实际年龄间无统计学差异,误差绝对值的平均值男性为（0.367±0.257）岁,女性为（0.367±0.245）岁。结论本研究中未成年人牙齿钙化程度随年龄的增长而呈现增高趋势,直至完全钙化;根据牙齿钙化程度建立的回归方程可用于未成年人活体以及无名尸体的年龄推断。     

On-treatment predictions of success in peg-interferon/ribavirin treatment using a novel formula

AIM:To predict treatment success using only simple clinical data from peg-interferon plus ribavirin therapy for chronic hepatitis C. METHODS:We analyzed the clinical data of 176 patients with chronic hepatitis and hepatitis C virus genotype 1 who received 48 wk standard therapy, derived a predictive formula to assess a sustained virological response of the individual patient using a logistic regression model and confirmed the validity of this formula.The formula was constructed using data from the first 100...     

The Polarization of American Environmental Policy: A Regression Discontinuity Analysis of Senate and House Votes, 1971–2013

The partisan polarization of environmental policy is an important development in American politics, but it remains unclear how much such polarization reflects voter preferences, as opposed to disagreements between partisan elites. We conduct a regression discontinuity analysis of all major environmental and energy votes in the Senate and the House, 1971–2013. In total, we have 368,974 individual roll call votes by senators and House Representatives. The causal effect of electing a Democrat instead of a Republican in close elections on pro‐environmental voting is large: when a Democrat wins, pro‐environmental voting increases by over 40 percentage points. Because of the quasi‐experimental research design, this difference cannot be attributed to the median voter's preferences. Next, we test hypotheses concerning possible explanations for the elite partisan conflict. The Democrat–Republican gap is the widest when fossil fuel interests make contributions exclusively to Republicans and when state‐level public opinion is polarized.     

高校毕业生自主创业意愿影响因素的实证分析

本文基于辽宁省21所高校的1912份调查数据,运用Logistic回归和结构方程模型验证了个体因素、家庭因素和社会因素对高校毕业生自主创业意愿的影响。研究结果发现:个体因素中,个体的传记特征(性别、是否独生子女、户口所在地、是否本省生源、就读高校类型、所学专业)、创业环境认知和创业心态对高校毕业生的创业意愿有显著影响;家庭因素中,父亲职业、母亲受教育程度和家庭收入的影响显著;社会因素中,社会舆论导向和就业压力对高校毕业生自主创业意愿有正向影响,而高校创业引导与创业政策宣传的影响不显著。因而,建议从提高创业素质与能力、发展创业教育、改善创业环境、完善创业扶持政策、加强创业舆论宣传等方面提升高校毕业生的自主创业热情和创业成功率。