新时代深化群团改革的实践载体研究——以天津经济技术开发区群团组织“三基地一中心”为例

天津经济技术开发区总工会(团委、妇联)牢牢把握群团改革要求,主动服务于党政工作大局,以职工群众为中心,创新建设了“三基地一中心”综合服务阵地。“三基地一中心”具有政策宣传、孵化培育、职工服务、创新创业、企业服务等功能,在思想引领、组织拓展、助力发展、维护和谐、普惠服务五个方面取得了显著成效。调研结果显示,“三基地一中心”契合职工群众需求,有助于提高职工对工会的认可度,并受到企业管理人员的好评。其今后的运维应在宣传力度、精准服务、运行机制、形式内容、资源整合、沟通反馈等方面持续发力,让职工群众拥有更多幸福感、获得感、安全感,助力经济社会高质量发展。     

Elemental analysis of soil samples for forensic purposes by inductively coupled plasma spectrometry — precision considerations

Major and trace elemental composition provides a powerful basis for forensic comparison of soils, sediments and rocks. However, it is important that the potential ‘errors’ associated with the procedures are fully understood and quantified, and that standard protocols are applied for sample preparation and analysis. This paper describes such a standard procedure and reports results both for instrumental measurement precision (repeatability) and overall ‘method’ precision (reproducibility). Results obtained both for certified reference materials and example soils show that the instrumental measurement precision (defined by the coefficient of variation, CV) for most elements is better than 2–3%. When different solutions were prepared from the same sample powder, and from different sub-sample powders prepared from the same parent sample, the CV increased to c. 5–6% for many elements. The largest variation was found in results for certified reference materials generated from 23 instrument runs over an 18 month period (mean CV = c. 11%). Some elements were more variable than others. W was found to be the most variable and the elements V, Cr, Co, Cu, Ni and Pb also showed higher than average variability. SiO₂, CaO, Al₂O₃ and Fe₂O₃, Rb, Sr, La, Ce, Nd and Sm generally showed lower than average variability, and therefore provided the most reliable basis for inter-sample comparison. It is recommended that, whenever possible, samples relating to the same investigation should be analysed in the same sample run, or at least sequential runs.     

影响南疆绿洲地区精准扶贫的因素与应对策略 以南疆和田地区三个县为例

和田绿洲地区位于南疆四地州,作为新时期的国家连片特困地区与深度贫困地区之一,脱贫攻坚任务十分艰巨。2014年以来,在国家精准扶贫政策支持下,脱贫工作取得了显著成效,贫困发生率大大降低。但是由于特殊地理、人口、文化等因素影响,脱贫攻坚仍然面临诸多困难,迫切需要结合绿洲社会经济文化特点精准施策,促进脱贫成效的提升。     

Technological innovation in the recovery and analysis of 3D forensic footwear evidence: Structure from motion (SfM) photogrammetry

The recovery of three-dimensional footwear impressions at crime scenes can be a challenge but can also yield important investigative data. Traditional methods involve casting 3D impressions but these methods have limitations: the trace is usually destroyed during capture; the process can be time consuming, with a risk of failure; and the resultant cast is bulky and therefore difficult to share and store. The use of Structure from Motion (SfM) photogrammetry has been used widely to capture fossil footprints in the geological record and while there is a small body of work advocating its use in forensic practice the full potential of this technique has yet to be realised in an operational context. The availability of affordable software is one limiting factor and here we report the availability of a bespoke freeware for SfM recovery and subsequent analysis of for footwear evidence (DigTrace). Our aim here is not to provide a rigorous comparison of SfM methods to other recovery methods, but more to illustrate the potential while also documenting the typical workflows and potential errors associated with an SfM based approach. By doing so we hope to encourage further research, experimentation and ultimately adoption by practitioners.     

Measuring the validity and reliability of forensic likelihood-ratio systems

There has been a great deal of concern recently about validity and reliability in forensic science. This paper reviews for a broad target audience metrics of validity and reliability (accuracy and precision) which have been applied in forensic voice comparison and which are potentially applicable in other branches of forensic science. The metric of validity is the log likelihood-ratio cost (C_llr), and the metric of reliability is an empirical estimate of credible intervals. A revised procedure for the calculation of credible intervals is introduced.