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In the last few years, research studies and opinion pieces have tried to account for the new polarisation and dealignment of US politics after Trump and the post-Brexit UK politics. It is now well-established both by academic research and by Facebook's own research that Facebook leads to more polarisation in its users' political views, but rhetorical analysis has not yet accounted for the role played by algorithms in political communication and persuasion. What does social media do to rhetoric? The situation of speech in social media is often treated like in a public sphere when it should not be. This misconception prevents rhetorical studies to take into consideration the question of technology. By using the recent literature in critical algorithm studies, I develop a new approach in rhetorical criticism. I argue here that the increasing agency that algorithms have acquired in delivering and mediating rhetoric means that we must consider the role played by intermediaries when examining rhetorical situations. This paper sheds light on what I call the four conditionalities of algorithms on rhetoric: (1) programmed speech content, (2) the verticalisation of political communication, (3) the new biases produced by digital media, and (4) the rhetorical machine learning. [ABSTRACT FROM AUTHOR]

Previous evidence suggested a significant variation in the testing algorithms used across the United Kingdom for the diagnosis of Clostridium difficile infection (CDI) and new national guidelines were issued in 2012. The main aim of this paper was to explore if such variation in testing and reporting is still present, to compare the management of CDI cases, and to investigate if there is any significant variation in the antibiotic policies among different hospitals. Using London hospitals as a sample, results show that there is still a wide variation of testing methods and reporting used, making comparisons difficult. It is likely that the overall variability in practices would be greater at a national and, even more, at international level. The relationship between broad-spectrum antibiotics and C. difficile incidence and alternative approaches in antibiotic guidelines may require further studies. [ABSTRACT FROM AUTHOR]

Background: The literature contains limited information on the problems faced by dying patients with COVID-19 and the effectiveness of interventions to manage these. Aim: The aim of this audit was to assess the utility of our end-of-life care plan, and specifically the effectiveness of our standardised end-of-life care treatment algorithms, in dying patients with COVID-19. Design: The audit primarily involved data extraction from the end-of-life care plan, which includes four hourly nursing (ward nurses) assessments of specific problems: patients with problems were managed according to standardised treatment algorithms, and the intervention was deemed to be effective if the problem was not present at subsequent assessments. Setting/participants: This audit was undertaken at a general hospital in England, covered the 8 weeks from 16 March to 11 May 2020 and included all inpatients with COVID-19 who had an end-of-life care plan (and died). Results: Sixty-one patients met the audit criteria: the commonest problem was shortness of breath (57.5%), which was generally controlled with conservative doses of morphine (10–20 mg/24 h via a syringe pump). Cough and audible respiratory secretions were relatively uncommon. The second most common problem was agitation/delirium (55.5%), which was generally controlled with standard pharmacological interventions. The cumulative number of patients with shortness of breath, agitation and audible respiratory secretions increased over the last 72 h of life, but most patients were symptom controlled at the point of death. Conclusion: Patients dying of COVID-19 experience similar end-of-life problems to other groups of patients. Moreover, they generally respond to standard interventions for these end-of-life problems. [ABSTRACT FROM AUTHOR]

Objective: To provide a normal comparison group against which to judge symmetry results after cleft surgery and to introduce the thin lip correction (TLC) feature in SymNose. A lip–aspect ratio algorithm has been added to the latest version of SymNose to compensate for the higher degree of overlap in thicker lips when compared to thin lips. Design: Retrospective analysis of symmetry in healthy participants, using the computer-based program SymNose on both anteroposterior (AP) and base view images. Photographs of 91 noncleft children were traced twice by 3 independent investigators experienced with SymNose. Participants: Five-year-old healthy participants from a local state school in Tavistock (West Devon, United Kingdom). Main Outcome Measure: Asymmetry expressed as the perimeter mismatch percentage for nose and lip features on AP view images and for nose features on base view images. Results: The perimeter mismatch reference range for the nose (AP view) was 2.65% to 30.91%, for the lip 2.13% to 15.44%, for the nose (base view) 1.69% to 14.84%, for the nostrils 4.68% to 26.6%, and for the width–height ratio 1.15% to 1.80%. The perimeter mismatch percentage for the lip without TLC was significantly higher compared to the perimeter mismatch percentage with TLC (P <.001). Conclusion: This article provides a noncleft reference range for all perimeters drawn from SymNose against which to compare results after cleft surgery at 5 years of age. Furthermore, it shows the importance of correcting for variance in lip volume per child. [ABSTRACT FROM AUTHOR]