Recognizing Handwriting Styles in a Historical Scanned Document Using Unsupervised Fuzzy Clustering

The forensic attribution of the handwriting in a digitized document to multiple scribes is a challenging problem of high dimensionality. Unique handwriting styles may be dissimilar in a blend of several factors including character size, stroke width, loops, ductus, slant angles, and cursive ligatures. Previous work on labeled data with Hidden Markov models, support vector machines, and semi-supervised recurrent neural networks have provided moderate to high success. In this study, we successfully detect hand shifts in a historical manuscript through fuzzy soft clustering in combination with linear principal component analysis. This advance demonstrates the successful deployment of unsupervised methods for writer attribution of historical documents and forensic document analysis.Comment: 26 pages in total, 5 figures and 2 table

Districting that minimizes partisan bias

AbstractThe shapes of electoral districts determine how votes translate into seats. When districts favor certain political parties, electoral results can be disproportionate and the public may lose faith in the political process. Disagreement about appropriate district shapes is subjective, rarely resolved, and often leads to lawsuits. Previously, many authors have called for objective districting criteria. We offer a novel synthesis of models that enables the proactive comparison of district maps, by relating a planar graph partition, the single-member plurality rule, the maximin decision rule, and any agreed measure of partisan bias with a territorial map and historical vote results. Historical vote totals avoid the complexity and uncertainty associated with counterfactual models of vote swing. Districting plans could be objectively compared on such criteria as party proportionality or compact shape to reject plans with worse bias. Objective tools to reduce partisan bias in district maps could boost collaborative participation, increase perceptions of fairness and justice, and reduce costs.</jats:p

The design and development of an experience measure for a peer community moderated forum in a digital mental health service.

Online digital mental health communities can contribute to users' mental health positively and negatively. Yet the measurement of experience, outcomes and impact mechanisms relating to digital mental health communities is difficult to capture. In this paper we demonstrate the development of an online experience measure for a specific children and young people's community forum inside a digital mental health service. The development of the Peer Online Community Experience Measure (POCEM) is informed by a multi-phased design: (i) item reduction through Estimate-Talk-Estimate modified Delphi methods, (ii) user testing with think-aloud protocols and (iii) a pilot study within the digital service community to explore observational data within the platform. Experts in the field were consulted to help reduce the items in the pool and to check their theoretical coherence. User testing workshops helped to inform the usability appearance, wording, and purpose of the measure. Finally, the pilot results highlight completion rates, differences in scores for age and roles and "relate to others", as the most frequent domain mechanism of support for this community. Outcomes frequently selected show the importance of certain aspects of the community, such as safety, connection, and non-judgment previously highlighted in the literature. Experience measures like this one could be used as indicators of active therapeutic engagement within the forum community and its content but further research is required to ascertain its acceptability and validity. Multi-phased approaches involving stakeholders and user-centred design activities enhances the development of digitally enabled measurement tools

Psychometric properties of the Children’s Revised Impact of Events Scale (CRIES) with Bangladeshi children and adolescents

Identification of possible cases suffering post-traumatic stress disorder (PTSD) is important, especially in developing countries where traumatic events are typically prevalent. The Children’s Revised Impact of Events Scale is a reliable and valid measure that has two brief versions (13 items and 8 items) to assess reactions to traumatic events among young people. The current study evaluated the psychometric properties of both versions of the CRIES in a sample of 1,342 children and adolescents aged 9–17 years (M = 12.3 years, SD = 2.12) recruited from six districts of Bangladesh. A sub-group of 120 children from four schools was re-tested on the measures within 3.5 weeks. Confirmatory factor analysis supported factor structures similar to those found in other studies for both versions of the CRIES. Multiple group confirmatory factor analysis showed gender and age-group differences within the sample, supporting established age and gender differences in prevalence of PTSD symptoms. Analyses also indicated moderate to excellent internal consistency and test-retest reliability and clear discriminant and convergent validity. These data support use of both the CRIES-13 and CRIES-8 to provide quick and psychometrically sound assessment of symptoms of PTSD among children and adolescents from Bangla-speaking communities

Districting that minimises partisan bias

The shapes of electoral districts determine how votes translate into seats. When districts favour certain political parties, electoral results can be disproportionate and the public may lose faith in the political process. Disagreement about appropriate district shapes is subjective, rarely resolved, and often leads to lawsuits. Previously, many authors have called for objective districting criteria. We offer a novel synthesis of models that enables the proactive comparison of district maps, by relating a planar graph partition, the single-member plurality rule, the maximin decision rule, and any agreed measure of partisan bias with a territorial map and historical vote results. Employing historical vote totals avoids the complexity and uncertainty associated with counterfactual models of vote swing. Districting plans could be objectively compared on such criteria as party proportionality or compact shape to reject plans with worse bias. Objective tools to reduce partisan bias in district maps could boost collaborative participation, increase perceptions of fairness and justice, and reduce costs

Districting that minimizes partisan bias

Abstract The shapes of electoral districts determine how votes translate into seats. When districts favor certain political parties, electoral results can be disproportionate and the public may lose faith in the political process. Disagreement about appropriate district shapes is subjective, rarely resolved, and often leads to lawsuits. Previously, many authors have called for objective districting criteria. We offer a novel synthesis of models that enables the proactive comparison of district maps, by relating a planar graph partition, the single-member plurality rule, the maximin decision rule, and any agreed measure of partisan bias with a territorial map and historical vote results. Historical vote totals avoid the complexity and uncertainty associated with counterfactual models of vote swing. Districting plans could be objectively compared on such criteria as party proportionality or compact shape to reject plans with worse bias. Objective tools to reduce partisan bias in district maps could boost collaborative participation, increase perceptions of fairness and justice, and reduce costs

Identifying the green conservative

Common environmental attitudes measures may be confounded by liberal ideology because of the item language. We present the Moral Environmentalism Scale (MES), constructed using Moral Foundations Theory to include both liberal and conservative views of morality as they relate to the natural environment. We present results from four studies, one with undergraduates and three with adults from MTurk. We use psychometric techniques to explore the latent attribute of moral environmentalism. Each subsequent study refines the scale based on the results of Item Response Theory and factor analysis. The final 27-item measure from Study 2 has high internal reliability with a Cronbach’s alpha of 0.94, a single-factor structure with all items, with one exception, loading above 0.5 and items ranging in difficulty with good discrimination. Compared to two competing measures, the Connectedness to Nature Scale and the New Ecological Paradigm, only the MES positively predicts Republican pro-environmental behavior