Automated detection of regions of interest in cartridge case images using deep learning

This paper explores a deep-learning approach to evaluate the position of circular delimiters in cartridge case images. These delimiters define two regions of interest (ROI), corresponding to the breech face and the firing pin impressions, and are placed manually or by an image-processing algorithm. This positioning bears a significant impact on the performance of the image-matching algorithms for firearm identification, and an automated evaluation method would be beneficial to any computerized system. Our contribution consists in optimizing and training U-Net segmentation models from digital images of cartridge cases, intending to locate ROIs automatically. For the experiments, we used high-resolution 2D images from 1195 samples of cartridge cases fired by different 9MM firearms. Our results show that the segmentation models, trained on augmented data sets, exhibit a performance of 95.6% IoU (Intersection over Union) and 99.3% DC (Dice Coefficient) with a loss of 0.014 for the breech face images; and a performance of 95.9% IoU and 99.5% DC with a loss of 0.011 for the firing pin images. We observed that the natural shapes of predicted circles reduce the performance of segmentation models compared with perfect circles on ground truth masks suggesting that our method provide a more accurate segmentation of the real ROI shape. In practice, we believe that these results could be useful for firearms identification. In future work, the predictions may be used to evaluate the quality of delimiters on specimens in a database, or they could determine the region of interest on a cartridge case image.     

Shoeprint image retrieval and crime scene shoeprint image linking by using convolutional neural network and normalized cross correlation

A shoeprint image retrieval process aims to identify and match images of shoeprints found at crime scenes with shoeprint images from a known reference database. It is a challenging problem in the forensic discipline of footwear analysis because a shoeprint found at the crime scene is often imperfect. Recovered shoeprints may be partial, distorted, left on surfaces that do not mark easily, or perhaps come from shoes that do not transfer marks easily. In this study, we present a shoeprint retrieval method by using a convolutional neural network (CNN) and normalized cross-correlation (NCC). A pre-trained CNN was used to extract features from the pre-processed shoeprint images. We then employed NCC to compute a similarity score based on the extracted image features. We achieved a retrieval accuracy of 82% in our experiments, where a “successful” retrieval means that the ground truth image was returned in the top 1% of returned images. We also extend our shoeprint retrieval method to the problem of linking shoeprints recovered from crime scenes. This new method can provide a linkage between two crime scenes if the two recovered shoeprints originated from the same shoe. This new method achieved a retrieval accuracy of 88.99% in the top 20% of returned images.     

Institutional Change Through Policy Learning: The Case of the European Commission and Research Policy

Research initiatives to enhance knowledge‐based societies demand regionally coordinated policy approaches. By analyzing the case of the European Commission, Directorate‐General Research and Innovation, this study focuses on examining the cognitive mechanisms that form the foundation for institutional transformations and result in leadership positions in regional governance. Drawing on policy learning theories, the study emphasizes specific mechanisms of institutional change that are often less noticeable but can gradually lead to mobilizing diverse groups of stakeholders. Through historical and empirical data, this study shows the importance of policy learning through communication processes, Open Method of Coordination initiatives, and issue framing in creating a stronger foundation for policy coordination in European research policy since the 2000s.     

学习需求分析与专门用途英语

需求分析是专门用途英语课程设计的前提,在专门用途英语课程设计中起着重要的作用。本文在简述需求分析的概念及其使用范围的基础上,分析了需求分析在专门用途英语教学中的重要性,并提出了应如何利用学习者的学习需求分析来设计专门用途英语课程。     

自尊与外语学习——浅析人格心理学的自尊理论及对外语学习的启示

自尊是人格心理学的一个重要研究课题。人格心理学有关自尊的研究成果可以解释外语学习中的诸多现象并对外语教学有着重要的指导意义。     

终身教育观念及我国学习型社会的构建

当今时代,终身教育和学习型社会的理念已被世界各国广泛接受,也正在成为我国建设中国特色社会主义的重要教育政策和发展战略。文章分析了终身教育的内涵、本质及其构成体系和实现途径,对学习型社会的个体构建和社会构建作了概括。提出了当前构建和发展我国学习型社会的基本策略。     

The campaign dynamics of economic voting

This paper considers the relationship between election campaigns and the impact of economic evaluations on vote choice. The motivation is the standard expectation that the campaign generally serves to amplify the significance of economic considerations in the voter's calculus—to focus his/her attention on this “fundamental” element of the electoral decision. Drawing on survey data from ten national elections across four countries (Canada, New Zealand, the United Kingdom and the United States) and applying both parametric and semi-parametric statistical techniques, the paper finds no support for this proposition. The paper reflects on the significance of this conclusion for work on political learning during election campaigns, the literature on economic voting, and the study of electoral behaviour more generally.     

Pedagogical changes in curricula in higher education in Central Asia： A case study in psychology

This paper has three goals. First, to introduce a major pedagogical transition and discuss the challenges faced during the transition. Second, to provide a specific example of course changes that were required to meet this pedagogical transition and the challenges faced in adoption of new teaching techniques. The third goal of this paper is to provide faculty and universities with useful information to enhance their programs and meet the challenges faced during pedagogical transitions.     

A wave of psychological forces in second language learning： An Arabic experience at IIUM

Psychological bases of success deal with relatively inner-self factors. The paper presents basic understandings of learning process as well as a model of identifying factors of second language learning success. There are a number of reasons why some students learn Arabic much more quickly than the others. Learner＇s psychological situation is one of the most expected determination factor. Therefore, its nature has to be described, its function needs to be identified and analyzed, especially in term of motivating students to have better performance in learning Arabic as a second language in the context of International Islamic University Malaysia （IIUM）.     

Linking parental incarceration and family dynamics associated with intergenerational transmission: A life‐course perspective*

Children experiencing parental incarceration face numerous additional disadvantages, but researchers have often relied on these other co‐occurring factors primarily as controls. In this article, we focus on the intimate links between crime and incarceration, as well as on the broader family context within which parental incarceration often unfolds. Thus, parents’ drug use and criminal behavior that precedes and may follow incarceration periods may be ongoing stressors that directly affect child well‐being. We also use our analyses to foreground mechanisms associated with social learning theories, including observations and communications that increase the child's risk for criminal involvement and other problem outcomes. These related family experiences often channel the child's own developing network ties (peers, romantic partners) that then serve as proximal influences. We explore these processes by drawing on qualitative and quantitative data from a study of the lives of a sample of respondents followed from adolescence to young adulthood, as well as on records searches of parents’ incarceration histories. Through our analyses, we find evidence that 1) some effects attributed to parental incarceration likely connect to unmeasured features of the broader family context, and b) together parental incarceration and the broader climate often constitute a tightly coupled package of family‐related risks linked to intergenerational continuities in criminal behavior and other forms of social disadvantage.