Voting Advice Applications and the Estimation of Party Positions – A Reliable Tool?

Data contained in Voting Advice Applications (VAA s) is not only a prerequisite for the vote recommendations they provide but can also be used for estimating party positions in low‐dimensional spaces. Given that VAA s can be designed differently in terms of their number of items and their measurement level, how much can one trust the party positions obtained from this source? We tackle this question by exploiting relevant variation in a real‐world setting: three VAA s offered at the 2017 Lower Saxony election. Despite substantial design differences, the policy spaces extracted through an inductive scaling approach are highly convergent. Simulated random item removal from the pooled dataset of all three VAA s furthermore suggests that about 40 items yield satisfactory reliability of the party positions. Finally, we find that a priori assigning VAA ‐items to ideological dimensions is potentially problematic as the interpretation of resulting party spaces may differ from the ones derived inductively.     

Estimating Individual Contributions to Complex DNA SNP Mixtures.,

High‐throughput sequencing (HTS) of large panels of single nucleotide polymorphisms (SNPs) provides an alternative or complimentary approach to short tandem repeats (STRs) panels for the analysis of complex DNA mixture forensic samples. For STRs, methods to estimate individual contribution concentrations compare capillary electrophoresis peak heights, peak areas, or HTS allele read counts within a mixture. This article introduces three approaches (mean, median, and slope methods) for estimating individual DNA contributions to forensic mixtures for HTS/massively parallel sequencing (MPS) SNP panels. For SNPs, the major:minor allele ratios or counts, unique to each contributor, were compared to estimate contributor proportion within the mixture using the mean, median, and slope intercept for these alleles. The estimates for these three methods were typically within 5% of planned experimental contributions for defined mixtures.     

Lecture Versus Simulation: Testing the Long-Term Effects

Abstract

Active learning techniques are being use with increasing frequency in the classroom and more time is being dedicated to designing and implementing them. However, the literature still suffers from a lack of rigorous empirical methods to test the effects of simulations. Most of the claimed benefits of utilizing simulations, and other active learning techniques, are improved soft skills and higher order thinking like empathy, confidence, public-speaking abilities, and interpersonal skills—all of which don’t lend themselves well to scientific measurement. This gap in the literature is especially troubling considering that time spent using simulations is time not spent using other methods. This article seeks to test the differing impacts of simulations versus traditional lectures over the long-term using a simple 30-minute simulation and rigorous experimental methods. The most important results show that students learn more initially from a lecture, but that students who were exposed to the simulation were better able to retain that information over the long-term.     

Applying behavioural science to the annual electoral canvass in England: Evidence from a large-scale randomised controlled trial

Local authorities in Great Britain are required to ensure that their electoral registers are as accurate and complete as possible. To this end, Household Enquiry Forms (HEFs) are mailed to all properties annually to collect updated details from residents, and any eligible unregistered residents will subsequently be invited to register to vote. Unfortunately, HEF nonresponse is pervasive and costly. Using insights from behavioural science, we modified letters and envelopes posted to households as part of the annual canvass, and evaluated their effects using a randomised controlled trial across two local authorities in England (N=226,528 properties). We find that modified materials – particularly redesigned envelopes – significantly increase initial response rates and savings. However, we find no effects on voter registration. While certain behavioural interventions can improve the efficiency of the annual canvass, other approaches or interventions may be needed to increase voter registration rates and update voter information.     

以科学发展观为统领不断推进工会工作创新发展

中关村科技园区海淀园是中国第一个高新技术产业开发区，汇聚了15000多家高新技术企业。目前园区基层工会组织多是小而分散，工会会员呈高学历、高素质、高收入群体特点。工会工作按照传统的组织体系和工作方式难以有效运作。因此，园区各级工会必须适应形势，在基层建设和工作领域方面走向社会化、网络化和开放化，从实际出发，建立健全工会组织体系，以科学发展观为统领，以维权为重点，围绕园区的稳定和发展，发挥工会组织的积极作用。     

论我国少数民族社会生产力的跨越式发展

生产力是少数民族社会发展的最终决定力量;科学技术是第一生产力,是推动少数民族社会全面进步的伟大杠杆。我国少数民族社会必须通过科技建设与技术创新、民族教育的建设与创新、管理创新、民族文化的创新和发展,实现生产力的跨越式发展,促进少数民族经济社会的全面发展。     

广西服务业科技发展的战略与对策

文章在对广西服务业发展现状、存在问题、面临的机遇与挑战等进行分析的基础上,系统探讨了广西服务业科技发展的战略选择、重大任务、重点领域、政策与保障措施等有关问题,对于促进广西服务业的进一步发展具有现实意义。     

Chemical Imaging of Human Fingermark by X-ray Photoelectron Spectroscopy (XPS)

X-ray photoelectron spectroscopy (XPS) is a widely used technique to characterize the surface chemistry of materials. It plays a crucial role in accessing qualitative and quantitative information and in detecting the presence of chemical functional groups on the surface of any material. The forensic methods available to detect and identify elements and organic/inorganic compounds are often destructive, so evidence cannot be re-analyzed. However, XPS allows rapid analysis of samples without damaging them. Recently, an increasing number of forensic researchers have begun to study certain chemical information on fingermarks. In this study, the authors aimed to present the applicability and power of XPS imaging in fingermark analysis which can also provide specific information about the fingermark chemical composition. Herein, monochromated X-ray (Al Kα) spot size was fixed at 50 μm. XPS mapping resulted in the acquisition of spectra at each pixel, in an array of 41 × 30 pixels with a step size of 50 μm. Then, a simple discussion has been made about how the scanned surface spectrum and basic snapshot spectra are used to identify different components at a fingertip of a scanned surface area (~3 mm²). Hence, a fingermark pattern contaminated with caffeine, TiO₂, and Pb/PbO deposited on the silicon wafer can be chemically mapped and visualized by XPS using principal component analysis (PCA). Thus, the present study showed the possible applicability of XPS for the identification of illicit drugs of abuse, gunshot residue, and skin care products on latent fingermark by mimicking a crime scene evidence.     

Distribution of the Minutiae in Hypothenar Palm Prints in Slovak Adults: Indications for Personal Identification

Minutiae are small distinguishing features found along every ridge flow, which make each friction ridge print unique. The most common friction ridge prints found at the crime scene are fingerprints; therefore, the most of the minutiae studies are focused exactly on this kind of prints. The authors believe that further examination and enlargement of the palm print database could result in better use of the palm prints for personal identification. We analyzed a total of 160 palm prints from 40 females and 40 males aged between 18 and 70 years from Slovakia. For the evaluation of the minutiae, the area of the hypothenar had to be marked out. The classification of the minutiae used for this study was based on a modified version of the classification system using the total of 13 types of minutiae. The frequency of every minutiae type was calculated and, using the chi-square test with Yates's correction, bilateral and sex differences were assessed. The relationship between the different types of minutiae was examined with Pearson's correlation test. During the initial phases of the identification process, the focus should be on the least common types of minutiae (Y or M and return), which were found not to correlate; thus, their mutual occurrence is random (e.g., overlap—Y or M, crossbar—return, or Y or M—dock). The results of the present study show which specific minutiae types are the most suitable for personal identification. These findings may be beneficial in more effective outcome of the identification process.     

The Error in “Error Rate”: Why Error Rates Are So Needed,Yet So Elusive

Establishing error rates is crucial for knowing how well one is performing, determining whether improvement is needed, measuring whether interventions are effective, as well as for providing transparency. However, the flurry of activities in establishing error rates for the forensic sciences has largely overlooked some fundamental issues that make error rates a problematic construct and limit the ability to obtain a meaningful error rate. These include knowing the ground truth, establishing appropriate databases, determining what counts as an error, characterizing what is an acceptable error rate, ecological validity, and transparency within the adversarial legal system. Without addressing these practical and theoretical challenges, the very notion of a meaningful error rate is limited.