Identifying and enhancing risk thresholds in the detection of elder financial abuse: A signal detection analysis of professionals' decision making

Background: Financial abuse of elders is an under acknowledged problem and professionals' judgements contribute to both the prevalence of abuse and the ability to prevent and intervene. In the absence of a definitive "gold standard" for the judgement, it is desirable to try and bring novice professionals' judgemental risk thresholds to the level of competent professionals as quickly and effectively as possible. This study aimed to test if a training intervention was able to bring novices' risk thresholds for financial abuse in line with expert opinion. Methods: A signal detection analysis, within a randomised controlled trial of an educational intervention, was undertaken to examine the effect on the ability of novices to efficiently detect financial abuse. Novices (n = 154) and experts (n = 33) judged "certainty of risk" across 43 scenarios; whether a scenario constituted a case of financial abuse or not was a function of expert opinion. Novices (n = 154) were randomised to receive either an on-line educational intervention to improve financial abuse detection (n = 78) or a control group (no on-line educational intervention, n = 76). Both groups examined 28 scenarios of abuse (11 "signal" scenarios of risk and 17 "noise" scenarios of no risk). After the intervention group had received the on-line training, both groups then examined 15 further scenarios (5 "signal" and 10 "noise" scenarios). Results: Experts were more certain than the novices, pre (Mean 70.61 vs. 58.04) and post intervention (Mean 70.84 vs. 63.04); and more consistent. The intervention group (mean 64.64) were more certain of abuse post-intervention than the control group (mean 61.41, p = 0.02). Signal detection analysis of sensitivity (Á) and bias (C) revealed that this was due to the intervention shifting the novices' tendency towards saying "at risk" (C post intervention -.34) and away from their pre intervention levels of bias (C-.12). Receiver operating curves revealed more efficient judgments in the intervention group. Conclusion: An educational intervention can improve judgements of financial abuse amongst novice professionals.

ArrayMining: a modular web-application for microarray analysis combining ensemble and consensus methods with cross-study normalization

Background: Statistical analysis of DNA microarray data provides a valuable diagnostic tool for the investigation of genetic components of diseases. To take advantage of the multitude of available data sets and analysis methods, it is desirable to combine both different algorithms and data from different studies. Applying ensemble learning, consensus clustering and cross-study normalization methods for this purpose in an almost fully automated process and linking different analysis modules together under a single interface would simplify many microarray analysis tasks. Results: We present ArrayMining.net, a web-application for microarray analysis that provides easy access to a wide choice of feature selection, clustering, prediction, gene set analysis and cross-study normalization methods. In contrast to other microarray-related web-tools, multiple algorithms and data sets for an analysis task can be combined using ensemble feature selection, ensemble prediction, consensus clustering and cross-platform data integration. By interlinking different analysis tools in a modular fashion, new exploratory routes become available, e.g. ensemble sample classification using features obtained from a gene set analysis and data from multiple studies. The analysis is further simplified by automatic parameter selection mechanisms and linkage to web tools and databases for functional annotation and literature mining. Conclusion: ArrayMining.net is a free web-application for microarray analysis combining a broad choice of algorithms based on ensemble and consensus methods, using automatic parameter selection and integration with annotation databases.

A novel concept-level approach for ultra-concise opinion summarization

The Web 2.0 has resulted in a shift as to how users consume and interact with the information, and has introduced a wide range of new textual genres, such as reviews or microblogs, through which users communicate, exchange, and share opinions. The exploitation of all this user-generated content is of great value both for users and companies, in order to assist them in their decision-making processes. Given this context, the analysis and development of automatic methods that can help manage online information in a quicker manner are needed. Therefore, this article proposes and evaluates a novel concept-level approach for ultra-concise opinion abstractive summarization. Our approach is characterized by the integration of syntactic sentence simplification, sentence regeneration and internal concept representation into the summarization process, thus being able to generate abstractive summaries, which is one the most challenging issues for this task. In order to be able to analyze different settings for our approach, the use of the sentence regeneration module was made optional, leading to two different versions of the system (one with sentence regeneration and one without). For testing them, a corpus of 400 English texts, gathered from reviews and tweets belonging to two different domains, was used. Although both versions were shown to be reliable methods for generating this type of summaries, the results obtained indicate that the version without sentence regeneration yielded to better results, improving the results of a number of state-of-the-art systems by 9%, whereas the version with sentence regeneration proved to be more robust to noisy data.

Production et articulation des appartenances au mouvement Slow Fashion sur Twitter

Ce mémoire explore les productions et les articulations des appartenances au mouvement Slow Fashion sur Twitter. En réaction au modèle actuel prédominant du Fast Fashion, basé sur une surproduction et une surconsommation des vêtements, le Slow Fashion sensibilise les différents acteurs du secteur de la mode à avoir une vision plus consciente des impacts de leurs pratiques sur les travailleurs, les communautés et les écosystèmes (Fletcher, 2007) et propose une décélération des cycles de production et de consommation des vêtements. L’enjeu de cette recherche est de montrer que le Slow Fashion se dessine notamment à travers les relations entres les différents acteurs sur Twitter et que l'ensemble de ces interactions prend la forme d'un rhizome, c’est-à-dire d’un système dans lequel les éléments qui le composent ne suivent aucune arborescence, aucune hiérarchie et n’émanent pas d’un seul point d’origine. (Deleuze & Guattari, 1976) Sur Twitter, les appartenances au Slow Fashion font surface, se connectent les unes aux autres par des liens de nature différente. Consommateurs, designers, entreprises, journalistes, etc., ces parties prenantes construisent collectivement le Slow Fashion comme mouvement alternatif à la mode mainstream actuelle. Mon cadre théorique s’est construit grâce à une analyse de la littérature des concepts de mode, d’identité et d’appartenance afin de mieux appréhender le contexte dans lequel le mouvement a émergé. Puis, j’ai également réalisé une étude exploratoire netnographique sur Twitter au cours de laquelle j’ai observé, tout en y participant, les interactions sur la plateforme abordant le Slow Fashion et/ou la mode éthique. Publiée sur ce blogue (http://belongingtoslowfashion.blogspot.ca), cette « creative presentation of research » (Chapman & Sawchuk, 2012) ne constitue pas une histoire présentant les prétendues origines de ce mouvement mais plutôt une photographie partielle à un certain moment du Slow Fashion. Construite tel un rhizome, elle n’a ni début, ni fin, ni hiérarchie. J’invite alors les lectrices/lecteurs à choisir n’importe quelle entrée et à délaisser toute logique linéaire et déductive. Cette exploration sera guidée par des liens hypertextes ou des annotations qui tisseront des connexions avec d’autres parties ou feront émerger d’autres questionnements. Il s’agit d’offrir une introduction aux enjeux que pose le Slow Fashion, d’ouvrir la voie à d’autres recherches et d’autres réflexions, ou encore de sensibiliser sur ce sujet.

MINING AND VERIFICATION OF TEMPORAL EVENTS WITH APPLICATIONS IN COMPUTER MICRO-ARCHITECTURE RESEARCH

Computer simulation programs are essential tools for scientists and engineers to understand a particular system of interest. As expected, the complexity of the software increases with the depth of the model used. In addition to the exigent demands of software engineering, verification of simulation programs is especially challenging because the models represented are complex and ridden with unknowns that will be discovered by developers in an iterative process. To manage such complexity, advanced verification techniques for continually matching the intended model to the implemented model are necessary. Therefore, the main goal of this research work is to design a useful verification and validation framework that is able to identify model representation errors and is applicable to generic simulators. The framework that was developed and implemented consists of two parts. The first part is First-Order Logic Constraint Specification Language (FOLCSL) that enables users to specify the invariants of a model under consideration. From the first-order logic specification, the FOLCSL translator automatically synthesizes a verification program that reads the event trace generated by a simulator and signals whether all invariants are respected. The second part consists of mining the temporal flow of events using a newly developed representation called State Flow Temporal Analysis Graph (SFTAG). While the first part seeks an assurance of implementation correctness by checking that the model invariants hold, the second part derives an extended model of the implementation and hence enables a deeper understanding of what was implemented. The main application studied in this work is the validation of the timing behavior of micro-architecture simulators. The study includes SFTAGs generated for a wide set of benchmark programs and their analysis using several artificial intelligence algorithms. This work improves the computer architecture research and verification processes as shown by the case studies and experiments that have been conducted.

Preserving and interpreting the mining company office : landscape, space and technological change in the management of the copper industry

The purpose of this research is to examine the role of the mining company office in the management of the copper industry in Michigan’s Keweenaw Peninsula between 1901 and 1946. Two of the largest and most influential companies were examined – the Calumet & Hecla Mining Company and the Quincy Mining Company. Both companies operated for more than forty years under general managers who were arguably the most influential people in the management of each company. James MacNaughton, general manager at Calumet and Hecla, worked from 1901 through 1941; Charles Lawton, general manager at Quincy Mining Company, worked from 1905 through 1946. In this case, both of these managers were college-educated engineers and adopted scientific management techniques to operate their respective companies. This research focused on two main goals. The first goal of this project was to address the managerial changes in Michigan’s copper mining offices of the early twentieth century. This included the work of MacNaughton and Lawton, along with analysis of the office structures themselves and what changes occurred through time. The second goal of the project was to create a prototype virtual exhibit for use at the Quincy Mining Company office. A virtual exhibit will allow visitors the opportunity to visit the office virtually, experiencing the office as an office worker would have in the early twentieth century. To meet both goals, this project used various research materials, including archival sources, oral histories, and material culture to recreate the history of mining company management in the Copper Country.

Exploring Hidden Coherent Feature Groups and Temporal Semantics for Multimedia Big Data Analysis

Thanks to the advanced technologies and social networks that allow the data to be widely shared among the Internet, there is an explosion of pervasive multimedia data, generating high demands of multimedia services and applications in various areas for people to easily access and manage multimedia data. Towards such demands, multimedia big data analysis has become an emerging hot topic in both industry and academia, which ranges from basic infrastructure, management, search, and mining to security, privacy, and applications. Within the scope of this dissertation, a multimedia big data analysis framework is proposed for semantic information management and retrieval with a focus on rare event detection in videos. The proposed framework is able to explore hidden semantic feature groups in multimedia data and incorporate temporal semantics, especially for video event detection. First, a hierarchical semantic data representation is presented to alleviate the semantic gap issue, and the Hidden Coherent Feature Group (HCFG) analysis method is proposed to capture the correlation between features and separate the original feature set into semantic groups, seamlessly integrating multimedia data in multiple modalities. Next, an Importance Factor based Temporal Multiple Correspondence Analysis (i.e., IF-TMCA) approach is presented for effective event detection. Specifically, the HCFG algorithm is integrated with the Hierarchical Information Gain Analysis (HIGA) method to generate the Importance Factor (IF) for producing the initial detection results. Then, the TMCA algorithm is proposed to efficiently incorporate temporal semantics for re-ranking and improving the final performance. At last, a sampling-based ensemble learning mechanism is applied to further accommodate the imbalanced datasets. In addition to the multimedia semantic representation and class imbalance problems, lack of organization is another critical issue for multimedia big data analysis. In this framework, an affinity propagation-based summarization method is also proposed to transform the unorganized data into a better structure with clean and well-organized information. The whole framework has been thoroughly evaluated across multiple domains, such as soccer goal event detection and disaster information management.

Corporate social responsibility reporting in the mining sector of Tanzania:(Lack of) government regulatory controls and NGO activism

Purpose – The purpose of this paper is to contribute to the ongoing debate on governance, accountability, transparency and corporate social responsibility (CSR) in the mining sector of a developing country context. It examines the reporting practices of the two largest transnational gold-mining companies in Tanzania in order to draw attention to the role played by local government regulations and advocacy and campaigning by nationally organised non-governmental organisations (NGOs) with respect to promoting corporate social reporting practices. Design/methodology/approach – The paper takes a political economy perspective to consider the serious implications of the neo-liberal ideologies of the global capitalist economy, as manifested in Tanzania’s regulatory framework and in NGO activism, for the corporate disclosure, accountability and responsibility of transnational companies (TNCs). A qualitative field case study methodology is adopted to locate the largely unfamiliar issues of CSR in the Tanzanian mining sector within a more familiar literature on social accounting. Data for the case study were obtained from interviews and from analysis of documents such as annual reports, social responsibility reports, newspapers, NGO reports and other publicly available documents. Findings – Analysis of interviews, press clips and NGO reports draws attention to social and environmental problems in the Tanzanian mining sector, which are arguably linked to the manifestation of the broader crisis of neo-liberal agendas. While these issues have serious impacts on local populations in the mining areas, they often remain invisible in mining companies’ social disclosures. Increasing evidence of social and environmental ills raises serious questions about the effectiveness of the regulatory frameworks, as well as the roles played by NGOs and other pressure groups in Tanzania. Practical implications – By empowering local NGOs through educational, capacity building, technological and other support, NGOs’ advocacy, campaigning and networking with other civil society groups can play a pivotal role in encouraging corporations, especially TNCs, to adopt more socially and environmentally responsible business practices and to adhere to international and local standards, which in turn may help to improve the lives of many poor people living in developing countries in general, and Tanzania in particular. Originality/value – This paper contributes insights from gold-mining activities in Tanzania to the existing literature on CSR in the mining sector. It also contributes to political economy theory by locating CSR reporting within the socio-political and regulatory context in which mining operations take place in Tanzania. It is argued that, for CSR reporting to be effective, robust regulations and enforcement and stronger political pressure must be put in place.

Challenging masculinity in CSR disclosures:silencing of women’s voices in Tanzania’s mining industry

This paper presents a feminist analysis of corporate social responsibility (CSR) in a male-dominated industry within a developing country context. It seeks to raise awareness of the silencing of women’s voices in CSR reports produced by mining companies in Tanzania. Tanzania is one of the poorest countries in Africa, and women are often marginalised in employment and social policy considerations. Drawing on work by Hélène Cixous, a post-structuralist/radical feminist scholar, the paper challenges the masculinity of CSR discourses that have repeatedly masked the voices and concerns of ‘other’ marginalised social groups, notably women. Using interpretative ethnographic case studies, the paper provides much-needed empirical evidence to show how gender imbalances remain prevalent in the Tanzanian mining sector. This evidence draws attention to the dynamics faced by many women working in or living around mining areas in Tanzania. The paper argues that CSR, a discourse enmeshed with the patriarchal logic of the contemporary capitalist system, is entangled with tensions, class conflicts and struggles which need to be unpacked and acknowledged. The paper considers the possibility of policy reforms in order to promote gender balance in the Tanzanian mining sector and create a platform for women’s concerns to be voiced.

A comparative analysis of the characterization methods for submicron silicon waveguide propagation loss

An important parameter in integrated optical device is the propagation loss of the waveguide. Its characterization gives the information of the fabrication quality as well as the information of other passive devices on the chip as it is the basic building block of the passive devices. Although, over the last three decades many methods have been developed, there is not a single standard present yet. This paper presents a comparative analysis of the methods existing from the past as well as methods developed very recently in order to provide a complete picture of the pros and cons of different types of methods and from this comparison the best method is suggested according to the authors opinion. To support the claim, apart from the analytical comparison, this paper also presents a comparison performed with the experimental results between the suggested best method which is recently proposed by Massachusetts Institute of Technology (MIT) researchers based on undercoupled all-pass microring structure and the popular cut-back method.

Production et articulation des appartenances au mouvement Slow Fashion sur Twitter

Ce mémoire explore les productions et les articulations des appartenances au mouvement Slow Fashion sur Twitter. En réaction au modèle actuel prédominant du Fast Fashion, basé sur une surproduction et une surconsommation des vêtements, le Slow Fashion sensibilise les différents acteurs du secteur de la mode à avoir une vision plus consciente des impacts de leurs pratiques sur les travailleurs, les communautés et les écosystèmes (Fletcher, 2007) et propose une décélération des cycles de production et de consommation des vêtements. L’enjeu de cette recherche est de montrer que le Slow Fashion se dessine notamment à travers les relations entres les différents acteurs sur Twitter et que l'ensemble de ces interactions prend la forme d'un rhizome, c’est-à-dire d’un système dans lequel les éléments qui le composent ne suivent aucune arborescence, aucune hiérarchie et n’émanent pas d’un seul point d’origine. (Deleuze & Guattari, 1976) Sur Twitter, les appartenances au Slow Fashion font surface, se connectent les unes aux autres par des liens de nature différente. Consommateurs, designers, entreprises, journalistes, etc., ces parties prenantes construisent collectivement le Slow Fashion comme mouvement alternatif à la mode mainstream actuelle. Mon cadre théorique s’est construit grâce à une analyse de la littérature des concepts de mode, d’identité et d’appartenance afin de mieux appréhender le contexte dans lequel le mouvement a émergé. Puis, j’ai également réalisé une étude exploratoire netnographique sur Twitter au cours de laquelle j’ai observé, tout en y participant, les interactions sur la plateforme abordant le Slow Fashion et/ou la mode éthique. Publiée sur ce blogue (http://belongingtoslowfashion.blogspot.ca), cette « creative presentation of research » (Chapman & Sawchuk, 2012) ne constitue pas une histoire présentant les prétendues origines de ce mouvement mais plutôt une photographie partielle à un certain moment du Slow Fashion. Construite tel un rhizome, elle n’a ni début, ni fin, ni hiérarchie. J’invite alors les lectrices/lecteurs à choisir n’importe quelle entrée et à délaisser toute logique linéaire et déductive. Cette exploration sera guidée par des liens hypertextes ou des annotations qui tisseront des connexions avec d’autres parties ou feront émerger d’autres questionnements. Il s’agit d’offrir une introduction aux enjeux que pose le Slow Fashion, d’ouvrir la voie à d’autres recherches et d’autres réflexions, ou encore de sensibiliser sur ce sujet.

Diageo's 'Stop Out of Control Drinking' campaign in Ireland: an analysis

Background: It has been argued that the alcohol industry uses corporate social responsibility activities to influence policy and undermine public health, and that every opportunity should be taken to scrutinise such activities. This study analyses a controversial Diageo-funded ‘responsible drinking’ campaign (“Stop out of Control Drinking”, or SOOCD) in Ireland. The study aims to identify how the campaign and its advisory board members frame and define (i) alcohol-related harms, and their causes, and (ii) possible solutions. Methods: Documentary analysis of SOOCD campaign material. This includes newspaper articles (n = 9), media interviews (n = 11), Facebook posts (n = 92), and Tweets (n = 340) produced by the campaign and by board members. All material was coded inductively, and a thematic analysis undertaken, with codes aggregated into sub-themes. Results: The SOOCD campaign utilises vague or self-defined concepts of ‘out of control’ and ‘moderate’ drinking, tending to present alcohol problems as behavioural rather than health issues. These are also unquantified with respect to actual drinking levels. It emphasises alcohol-related antisocial behaviour among young people, particularly young women. In discussing solutions to alcohol-related problems, it focuses on public opinion rather than on scientific evidence, and on educational approaches and information provision, misrepresenting these as effective. “Moderate drinking” is presented as a behavioural issue (“negative drinking behaviours”), rather than as a health issue. Conclusions: The ‘Stop Out of Control Drinking’ campaign frames alcohol problems and solutions in ways unfavourable to public health, and closely reflects other Diageo Corporate Social Responsibility (CSR) activity, as well as alcohol and tobacco industry strategies more generally. This framing, and in particular the framing of alcohol harms as a behavioural issue, with the implication that consumption should be guided only by self-defined limits, may not have been recognised by all board members. It suggests a need for awareness-raising efforts among the public, third sector and policymakers about alcohol industry strategies

Raman microscopy of formamide-intercalated kaolinites treated by controlled-rate thermal analysis technology

Raman spectroscopy of formamide-intercalated kaolinites treated using controlled-rate thermal analysis technology (CRTA), allowing the separation of adsorbed formamide from intercalated formamide in formamide-intercalated kaolinites, is reported. The Raman spectra of the CRTA-treated formamide-intercalated kaolinites are significantly different from those of the intercalated kaolinites, which display a combination of both intercalated and adsorbed formamide. An intense band is observed at 3629 cm-1, attributed to the inner surface hydroxyls hydrogen bonded to the formamide. Broad bands are observed at 3600 and 3639 cm-1, assigned to the inner surface hydroxyls, which are hydrogen bonded to the adsorbed water molecules. The hydroxyl-stretching band of the inner hydroxyl is observed at 3621 cm-1 in the Raman spectra of the CRTA-treated formamide-intercalated kaolinites. The results of thermal analysis show that the amount of intercalated formamide between the kaolinite layers is independent of the presence of water. Significant differences are observed in the CO stretching region between the adsorbed and intercalated formamide.

Detailed analysis of a conservative difference approximation for the time fractional diffusion equation

Diffusion equations that use time fractional derivatives are attractive because they describe a wealth of problems involving non-Markovian Random walks. The time fractional diffusion equation (TFDE) is obtained from the standard diffusion equation by replacing the first-order time derivative with a fractional derivative of order α ∈ (0, 1). Developing numerical methods for solving fractional partial differential equations is a new research field and the theoretical analysis of the numerical methods associated with them is not fully developed. In this paper an explicit conservative difference approximation (ECDA) for TFDE is proposed. We give a detailed analysis for this ECDA and generate discrete models of random walk suitable for simulating random variables whose spatial probability density evolves in time according to this fractional diffusion equation. The stability and convergence of the ECDA for TFDE in a bounded domain are discussed. Finally, some numerical examples are presented to show the application of the present technique.