The politics of protest in newspaper campaigns: dissent, populism and the rhetoric of authenticity

Newspaper campaigns embody newspaper’ most emphatic claims to speak for ‘the people’, and as such are generally regarded as populist. However, they can be oppositional, engaging in dissent of one sort or another, and often assume a certain amount of political engagement with that dissent on the part of the audience. This article examines the potential of newspaper camapigns to facilitate the political engagement of citizens through the politics of protest. It draws on qualitative analysis of seven campaigns that ran in the Scottish press between 2000 and 2005, and semi-structured interviews with relevant journalists. The distinction between legitimate protest and manipulative populism is made in terms of: (a) the rhetoric and strategies of political representation, participation and influence and (b) the construction of political legitimacy in terms of the public interest and the moral authority of the ‘victim’. It is argued that populist impulses dominate, driving a tendency to use discourses of emotional authenticity and offence to legitimise demands for a plebiscitary response to popular of ‘victim’ preference and to close down controversy and debate, with the principal objective marketing the newspaper as an influential community champion

Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging

Using medical images to evaluate disease severity and change over time is a routine and important task in clinical decision making. Grading systems are often used, but are unreliable as domain experts disagree on disease severity category thresholds. These discrete categories also do not reflect the underlying continuous spectrum of disease severity. To address these issues, we developed a convolutional Siamese neural network approach to evaluate disease severity at single time points and change between longitudinal patient visits on a continuous spectrum. We demonstrate this in two medical imaging domains: retinopathy of prematurity (ROP) in retinal photographs and osteoarthritis in knee radiographs. Our patient cohorts consist of 4861 images from 870 patients in the Imaging and Informatics in Retinopathy of Prematurity (i-ROP) cohort study and 10,012 images from 3021 patients in the Multicenter Osteoarthritis Study (MOST), both of which feature longitudinal imaging data. Multiple expert clinician raters ranked 100 retinal images and 100 knee radiographs from excluded test sets for severity of ROP and osteoarthritis, respectively. The Siamese neural network output for each image in comparison to a pool of normal reference images correlates with disease severity rank (ρ = 0.87 for ROP and ρ = 0.89 for osteoarthritis), both within and between the clinical grading categories. Thus, this output can represent the continuous spectrum of disease severity at any single time point. The difference in these outputs can be used to show change over time. Alternatively, paired images from the same patient at two time points can be directly compared using the Siamese neural network, resulting in an additional continuous measure of change between images. Importantly, our approach does not require manual localization of the pathology of interest and requires only a binary label for training (same versus different). The location of disease and site of change detected by the algorithm can be visualized using an occlusion sensitivity map-based approach. For a longitudinal binary change detection task, our Siamese neural networks achieve test set receiving operator characteristic area under the curves (AUCs) of up to 0.90 in evaluating ROP or knee osteoarthritis change, depending on the change detection strategy. The overall performance on this binary task is similar compared to a conventional convolutional deep-neural network trained for multi-class classification. Our results demonstrate that convolutional Siamese neural networks can be a powerful tool for evaluating the continuous spectrum of disease severity and change in medical imaging

One-Step Purification of Recombinant Human Amelogenin and Use of Amelogenin as a Fusion Partner

Amelogenin is an extracellular protein first identified as a matrix component important for formation of dental enamel during tooth development. Lately, amelogenin has also been found to have positive effects on clinical important areas, such as treatment of periodontal defects, wound healing, and bone regeneration. Here we present a simple method for purification of recombinant human amelogenin expressed in Escherichia coli, based on the solubility properties of amelogenin. The method combines cell lysis with recovery/purification of the protein and generates a >95% pure amelogenin in one step using intact harvested cells as starting material. By using amelogenin as a fusion partner we could further demonstrate that the same method also be can explored to purify other target proteins/peptides in an effective manner. For instance, a fusion between the clinically used protein PTH (parathyroid hormone) and amelogenin was successfully expressed and purified, and the amelogenin part could be removed from PTH by using a site-specific protease

Effects of Wartime Crisis Perceptions on the Effectiveness of Political Advertising: The Moderating Role of Political Involvement

This research examines how political advertising is operated in a volatile context, such as a state of war or instability. The study employed a self-completing cross-sectional survey to gather the data in the period of the 2016 Syrian elections for members of parliament. The research tested the hypothetical model and its equivalency related to political involvement through the use of structural equation modelling. The outcomes of the tests revealed the structure of belief as a four-dimensional variate. The four dimensions encapsulate information, veracity, sarcasm, and cynicism. In addition, perceptions during conflicts had a negative effect on attitude through sarcasm displayed by voters with low political involvement. The results also found that negative attitude had a link with lower degrees of veracity with regards to voters who are less involved but to greater degrees of cynicism highly politically active individuals. We found that less favourable attitudes to political advertising lowered the likelihoods for voters to watch political ads or announcements, support a runner, and be willing to go to the poll. We found no relation between the fact of paying attention to political advertising and intention of voters to use their ballot

Vitamin C: Intravenous Use by Complementary and Alternative Medicine Practitioners and Adverse Effects

Background: Anecdotal information and case reports suggest that intravenously administered vitamin C is used by Complementary and Alternate Medicine (CAM) practitioners. The scale of such use in the U.S. and associated side effects are unknown. Methods and Findings: We surveyed attendees at annual CAM Conferences in 2006 and 2008, and determined sales of intravenous vitamin C by major U.S. manufacturers/distributors. We also queried practitioners for side effects, compiled published cases, and analyzed FDA’s Adverse Events Database. Of 199 survey respondents (out of 550), 172 practitioners administered IV vitamin C to 11,233 patients in 2006 and 8876 patients in 2008. Average dose was 28 grams every 4 days, with 22 total treatments per patient. Estimated yearly doses used (as 25g/50ml vials) were 318,539 in 2006 and 354,647 in 2008. Manufacturers ’ yearly sales were 750,000 and 855,000 vials, respectively. Common reasons for treatment included infection, cancer, and fatigue. Of 9,328 patients for whom data is available, 101 had side effects, mostly minor, including lethargy/fatigue in 59 patients, change in mental status in 21 patients and vein irritation/phlebitis in 6 patients. Publications documented serious adverse events, including 2 deaths in patients known to be at risk for IV vitamin C. Due to confounding causes, the FDA Adverse Events Database was uninformative. Total numbers of patients treated in the US with high dose vitamin C cannot be accurately estimated from this study

Carnosine:can understanding its actions on energy metabolism and protein homeostasis inform its therapeutic potential?

The dipeptide carnosine (β-alanyl-L-histidine) has contrasting but beneficial effects on cellular activity. It delays cellular senescence and rejuvenates cultured senescent mammalian cells. However, it also inhibits the growth of cultured tumour cells. Based on studies in several organisms, we speculate that carnosine exerts these apparently opposing actions by affecting energy metabolism and/or protein homeostasis (proteostasis). Specific effects on energy metabolism include the dipeptide's influence on cellular ATP concentrations. Carnosine's ability to reduce the formation of altered proteins (typically adducts of methylglyoxal) and enhance proteolysis of aberrant polypeptides is indicative of its influence on proteostasis. Furthermore these dual actions might provide a rationale for the use of carnosine in the treatment or prevention of diverse age-related conditions where energy metabolism or proteostasis are compromised. These include cancer, Alzheimer's disease, Parkinson's disease and the complications of type-2 diabetes (nephropathy, cataracts, stroke and pain), which might all benefit from knowledge of carnosine's mode of action on human cells. © 2013 Hipkiss et al.; licensee Chemistry Central Ltd

The Pyramid of Nonprofit Responsibility: The Institutionalization of Organizational Responsibility Across Sectors

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