The distant proximity of infrastructural harm: the contested and (in)visible dynamics of waste politics in Athens, Greece

This paper investigates the entanglements of waste infrastructures and harm in the wider Athens region. It focuses on Fyli landfill, which is currently the only formal waste management facility to serve the entire region. Associated with pollution, privatization, and allegations of corruption, the landfill has been formative of differential modes of uncertainty, interruption, and (in)visibility. By paying attention to the infrastructural contestation surrounding Fyli landfill, we conceptualize waste infrastructures as techno-political devices that engender harm. Our paper, first, examines the ways in which the spatio-temporal modalities of harm play out within this context, and secondly, rethinks modes of contestation and (in)visibility in relation to urban infrastructures. It argues that thinking through harm further elaborates the complex enmeshment between spatio-temporal and moral dynamics of infrastructures and forms of disruption, accountability, and participation. Hence, while we rethink waste infrastructures through harm, we also attend to the infrastructural codifications of harm

Socialising Big Data: From concept to practice

The working paper is a report on an ESRC-fundedproject, Socialising Big Data, that sought to address problematic conceptions of Big Data in popular discourse such as the ‘data deluge’ and the tendency to reduce the term to definitions such as the oft-cited‘3 Vs’. Instead, building on how social scientists have conceived of things, methods and data as having social and cultural lives, the project sought to identify the normative, political and technical imperatives and choices that come to shape Big Data at various momentsin its social lives. Recognising that Big Data involves distributed practices across a range of fields, the project experimentedwith collaboratories as a method for bringing together and engaging with practitioners acrossthree different domains –genomics, national statistics and waste management. In this way it explored how relations between data are also simultaneously relations between people and that it is through such relations that a shared literacyand social framework for Big Datacan be forged

Rethinking stasis and utopianism: empty placards and imaginative boredom in the Greek crisis-scape

This chapter traces specific modalities for performing stasis and rethinking utopianism against the backdrop of the recent financial crisis in Greece and, generally, of conditions shaped within the totalizing order Mark Fisher has called “capitalist realism.” Boletsi probes the ways two works deal with the (im)possibility of resistance from within the neoliberal “now”: the short story “Placard and Broomstick” (Ikonomou) and an Athenian wall writing that translates as “I am bored imaginatively.” The empty placard that takes center stage in Ikonomou’s story and the imaginative boredom registered on the walls of Athens test different modalities of stasis against alienation, dispossession, and the contracting of the future. Boletsi argues that both works disengage from conceptions of subjectivity that rest on the binary of either a passive or an active subject—either an acquiescent victim or a revolutionary hero who challenges power from its outside. The story stages the desire for alternative languages by registering a crisis of representation and the inadequacy of existing narratives. The wall writing taps into the modality of the “middle voice” to reconfigure one of the symptoms of capitalist realism—the boredom of unemployment, consumerism, or an indebted life—into a potential resource for different modes of being that carry glimpses of utopianism. Both works, albeit differently, challenge neoliberal imperatives of acquiescence, normalization, or “moving forward.” Although they stage the limited possibilities for resistance within a totalizing system, they also enable alternative configurations of subjectivity, agency, and futurity.Modern and Contemporary Studie

Introducing infrastructural harm: rethinking moral entanglements, spatio-temporal dynamics, and resistance(s)

This introduction provides an initial approach to the conceptual framework of infrastructural harm. It draws upon existing scholarship to discuss infrastructures as relational arrangements co-formative of harm. By approaching infrastructures as sites of ongoing socio-political and environmental antagonism, we pay attention to the ways in which infrastructural harm is generated, accretes, and transmutes across different scales and contexts. We consider harm as a process that exceeds the (in)direct consequences of infrastructure operation to extend to other arrangements. Building upon the diverse case studies discussed in this special issue, we investigate how the political and necropolitical properties of infrastructures are entangled with different technologies, judicial forms, policies, regulations and everyday processes. By foregrounding these diverse manifestations of infrastructural harm, together with its material and immaterial expressions, we expand on the existing literature in order to further explore critical codifications of contemporary socio-technical arrangements

Sleepiness, fatigue, anxiety and depression in chronic obstructive pulmonary disease and obstructive sleep apnea – overlap – syndrome, before and after continuous positive airways pressure therapy

Patients with Chronic Obstructive Pulmonary Disease (COPD) and / or Obstructive Sleep Apnea (OSA) often complain about sleepiness, fatigue, anxiety and depression. However, common screening questionnaires, like Epworth Sleepiness Scale (ESS), Fatigue Severity Scale (FSS) and Hospital Anxiety and Depression Scale (HADS) have not been previous evaluated in patients with overlap–coexisting COPD and OSA–syndrome versus patients with OSA alone. Our study compared ESS, FSS and HADS between patients with overlap syndrome and patients with OSA, before and after treatment with Continuous Positive Airways Pressure (CPAP). We examined 38 patients with coexisting COPD and OSA versus 38 patients with OSA-only and 28 subjects without respiratory disease, serving as controls. All patients underwent pulmonary function tests (PFTs), oximetry and overnight polysomnography and completed the questionnaires, before and after 3 months of CPAP therapy. The two patient groups did not differ significantly in terms of age, Body Mass Index (BMI), neck, waist and hip circumferences, and arterial blood pressure values. They also had similar comorbidities. They differed significantly, as expected, in PFTs (Forced Vital Capacity–FVC, 2.53±0.73 vs 3.08±0.85 lt, p = 0.005, Forced Expiratory Volume in 1sec–FEV1, 1.78± 0.53 vs 2.60±0.73 lt/min, p<0.001) and in daytime oximetry (94.75±2.37 vs 96.13±1.56%, p = 0.007). ESS, HADS–Anxiety and HADS–Depression scores did not differ statistically significant between these two groups, whereas overlap syndrome patients expressed significantly more fatigue (FSS) than OSA-only patients, a finding that persisted even after 3 months of CPAP therapy. We conclude that sleepiness, anxiety and depression were similar in both groups, whereas fatigue was more prominent in patients with overlap syndrome than in sleep apneic patients and did not ameliorate after treatment. © 2018 Economou et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Challenges and opportunities for early career medical professionals in cardiovascular magnetic resonance (CMR) imaging: a white paper from the Society for Cardiovascular Magnetic Resonance

The early career professionals in the field of Cardiovascular Magnetic Resonance (CMR) face unique challenges and hurdles while establishing their careers in the field. The Society for Cardiovascular Magnetic Resonance (SCMR) has expanded the role of the early career section within the society to foster the careers of future CMR leaders. This paper aims to describe the obstacles and available opportunities for the early career CMR professionals worldwide. Societal opportunities and actions targeted at the professional advancement of the early career CMR imagers are needed to ensure continuous growth of CMR as an imaging modality globally

Automated coronary calcium scoring using deep learning with multicenter external validation.

Coronary artery disease (CAD), the most common manifestation of cardiovascular disease, remains the most common cause of mortality in the United States. Risk assessment is key for primary prevention of coronary events and coronary artery calcium (CAC) scoring using computed tomography (CT) is one such non-invasive tool. Despite the proven clinical value of CAC, the current clinical practice implementation for CAC has limitations such as the lack of insurance coverage for the test, need for capital-intensive CT machines, specialized imaging protocols, and accredited 3D imaging labs for analysis (including personnel and software). Perhaps the greatest gap is the millions of patients who undergo routine chest CT exams and demonstrate coronary artery calcification, but their presence is not often reported or quantitation is not feasible. We present two deep learning models that automate CAC scoring demonstrating advantages in automated scoring for both dedicated gated coronary CT exams and routine non-gated chest CTs performed for other reasons to allow opportunistic screening. First, we trained a gated coronary CT model for CAC scoring that showed near perfect agreement (mean difference in scores = -2.86; Cohen's Kappa = 0.89, P < 0.0001) with current conventional manual scoring on a retrospective dataset of 79 patients and was found to perform the task faster (average time for automated CAC scoring using a graphics processing unit (GPU) was 3.5 ± 2.1 s vs. 261 s for manual scoring) in a prospective trial of 55 patients with little difference in scores compared to three technologists (mean difference in scores = 3.24, 5.12, and 5.48, respectively). Then using CAC scores from paired gated coronary CT as a reference standard, we trained a deep learning model on our internal data and a cohort from the Multi-Ethnic Study of Atherosclerosis (MESA) study (total training n = 341, Stanford test n = 42, MESA test n = 46) to perform CAC scoring on routine non-gated chest CT exams with validation on external datasets (total n = 303) obtained from four geographically disparate health systems. On identifying patients with any CAC (i.e., CAC ≥ 1), sensitivity and PPV was high across all datasets (ranges: 80-100% and 87-100%, respectively). For CAC ≥ 100 on routine non-gated chest CTs, which is the latest recommended threshold to initiate statin therapy, our model showed sensitivities of 71-94% and positive predictive values in the range of 88-100% across all the sites. Adoption of this model could allow more patients to be screened with CAC scoring, potentially allowing opportunistic early preventive interventions