Constructing Injustice Symbols in Contemporary Trans Rights Activisms

In this paper, we investigate the role that mourning and commemoration practices play in contemporary trans rights activism. Drawing from visual politics, digital activist culture, as well as media and communication, we analyse how trans rights movements construct injustice symbols that are used for sociopolitical mobilisation and expression. We contend that these symbols are constructed through shared communicative practices, which produce and circulate visuals that possess important memetic qualities (pictures, slogans, hashtags, graffiti, posters, etc.). To do so, we analyse three case studies where the unjust death of a trans person was collectively mobilised for political purposes: Jennifer Laude (Philippines, 1988-2014), Hande Kader (Turkey, 1993-2016), and Marsha P. Johnson (United States of America, 1945-1992). While each case study points to local or national specificities, our comparative analysis also underlines transnational trends in the production of posthumous visuals within contemporary trans rights activism. We conclude by addressing the contentions over the construction of trans symbols who inherently possess intersectional identities

Fast k-NN classifier for documents based on a graph structure

In this paper, a fast k nearest neighbors (k-NN) classifier for documents is presented. Documents are usually represented in a high-dimensional feature space, where terms appeared on it are treated as features and the weight of each term reflects its importance in the document. There are many approaches to find the vicinity of an object, but their performance drastically decreases as the number of dimensions grows. This problem prevents its application for documents. The proposed method is based on a graph index structure with a fast search algorithm. It’s high selectivity permits to obtain a similar classification quality than exhaustive classifier, with a few number of computed distances. Our experimental results show that it is feasible the use of the proposed method in problems of very high dimensionality, such as Text Mining

Automated segmentation of rheumatoid arthritis immunohistochemistry stained synovial tissue

Rheumatoid Arthritis (RA) is a chronic, autoimmune disease which primarily affects the joint's synovial tissue. It is a highly heterogeneous disease, with wide cellular and molecular variability observed in synovial tissues. Over the last two decades, the methods available for their study have advanced considerably. In particular, Immunohistochemistry stains are well suited to highlighting the functional organisation of samples. Yet, analysis of IHC-stained synovial tissue samples is still overwhelmingly done manually and semi-quantitatively by expert pathologists. This is because in addition to the fragmented nature of IHC stained synovial tissue, there exist wide variations in intensity and colour, strong clinical centre batch effect, as well as the presence of many undesirable artefacts present in gigapixel Whole Slide Images (WSIs), such as water droplets, pen annotation, folded tissue, blurriness, etc. There is therefore a strong need for a robust, repeatable automated tissue segmentation algorithm which can cope with this variability and provide support to imaging pipelines. We train a UNET on a hand-curated, heterogeneous real-world multi-centre clinical dataset R4RA, which contains multiple types of IHC staining. The model obtains a DICE score of 0.865 and successfully segments different types of IHC staining, as well as dealing with variance in colours, intensity and common WSIs artefacts from the different clinical centres. It can be used as the first step in an automated image analysis pipeline for synovial tissue samples stained with IHC, increasing speed, reproducibility and robustness

Incidence of community-acquired lower respiratory tract infections and pneumonia among older adults in the United Kingdom: a population-based study.

Community-acquired lower respiratory tract infections (LRTI) and pneumonia (CAP) are common causes of morbidity and mortality among those aged ≥65 years; a growing population in many countries. Detailed incidence estimates for these infections among older adults in the United Kingdom (UK) are lacking. We used electronic general practice records from the Clinical Practice Research Data link, linked to Hospital Episode Statistics inpatient data, to estimate incidence of community-acquired LRTI and CAP among UK older adults between April 1997-March 2011, by age, sex, region and deprivation quintile. Levels of antibiotic prescribing were also assessed. LRTI incidence increased with fluctuations over time, was higher in men than women aged ≥70 and increased with age from 92.21 episodes/1000 person-years (65-69 years) to 187.91/1000 (85-89 years). CAP incidence increased more markedly with age, from 2.81 to 21.81 episodes/1000 person-years respectively, and was higher among men. For both infection groups, increases over time were attenuated after age-standardisation, indicating that these rises were largely due to population aging. Rates among those in the most deprived quintile were around 70% higher than the least deprived and were generally higher in the North of England. GP antibiotic prescribing rates were high for LRTI but lower for CAP (mostly due to immediate hospitalisation). This is the first study to provide long-term detailed incidence estimates of community-acquired LRTI and CAP in UK older individuals, taking person-time at risk into account. The summary incidence commonly presented for the ≥65 age group considerably underestimates LRTI/CAP rates, particularly among older individuals within this group. Our methodology and findings are likely to be highly relevant to health planners and researchers in other countries with aging populations

Do resource bases enable social inclusion of students with Asperger syndrome in a mainstream secondary school?

This research identifies the way in which one secondary school with a resourced provision for students with Asperger syndrome promotes the social inclusion for them, and the perceptions of staff members and parents on the social experience of schooling for these children. Interviews were conducted with five teachers, two learning support assistants and the head of the resourced provision. Questionnaires were completed by eight parents of students with Asperger syndrome. The research found that a positive social experience of schooling was perceived by members of staff and parents due to the additional support of the resource in teaching social skills, providing a safe place and the support from learning support assistants. Some negative perceptions of social experience were also reported, which highlighted the need for educational provision for students on the autism spectrum to be considered at an individual level