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Mobilising affect for public art: affective practice in voluntary organising

Voluntary organising frequently relies on affective intensities to direct organisational efforts. However, it is not well understood how these intensities are cultivated across time and different contexts to engage and coordinate heterogeneous actors. By applying a practice approach to affect, this paper proposes the concept of affective practices to theorise how affect is mobilised in materially

The onto-politics of entrepreneurial experimentation: re-reading Hans-Jörg Rheinberger’s understanding of ‘experimental systems’

In this article, we argue that there is a need to theorize the relationship between entrepreneurship and the political beyond the currently dominant neo-liberal and emancipatory narrative by turning to an onto-political conception of entrepreneurship based on the processes of entrepreneurial experimentation. In entrepreneurship studies, the relevance and the potential of experimentation for shapin

Jesus-Oriented Groups and the Emergence of a Rabbinic Jewish Identity

This essay argues that an important factor behind the emergence of a rabbinic form of Judaism was a challenge to Jewish identity and self-understanding posed by Jesus-oriented groups who had appropriated essential aspects of Jewish self-understanding. The unease with gentile attachment to Israel’s God and involvement with the Torah, and the reconfiguration of the boundaries of Judaism to exclude J

Space Technology and Supply Chain Sustainability: Satellite-Based Due Diligence and the EU Deforestation Regulation

Today’s global supply chains are complex, dynamic and often opaque, with companies struggling to trace back where their material is coming from beyond their direct suppliers and the numerous intermediaries along the chain. Simultaneously, sustainability issues such as deforestation (and the resulting carbon storage and biodiversity loss) but also human rights violations and forced labor tend to be

On definition and inference of nonlinear Boolean dynamic networks

Network reconstruction has become particularly important in systems biology, and is now expected to deliver information on causality. Systems in nature are inherently nonlinear. However, for nonlinear dynamical systems with hidden states, how to give a useful definition of dynamic networks is still an open question. This paper presents a useful definition of Boolean dynamic networks for a large cl

Experimental design trade-offs for gene regulatory network inference: An in silico study of the yeast Saccharomyces cerevisiae cell cycle

Time-series of high throughput gene sequencing data intended for gene regulatory network (GRN) inference are often short due to the high costs of sampling cell systems. Moreover, experimentalists lack a set of quantitative guidelines that prescribe the minimal number of samples required to infer a reliable GRN model. We study the temporal resolution of data vs. quality of GRN inference in order to

Linear Dynamic Network Reconstruction from Heterogeneous Datasets

This paper addresses reconstruction of linear dynamic networks from heterogeneous datasets. Those datasets consist of measurements from linear dynamical systems in multiple experiments subjected to different experimental conditions, e.g., changes/perturbations in parameters, disturbance or noise. A main assumption is that the Boolean structures of the underlying networks are the same in all experi

Material temporal work in artistic innovation: How Hilma af Klint powered time

This chapter explores the material temporal work involved in protecting a radical artistic innovation, conceived ahead of its time, from incomprehension and projecting it into the future in search of receptive audiences. Inspired by the trajectory and recent rediscovery of the pioneering abstract artist Hilma af Klint, we suggest that it is temporal agency (i.e. anticipating of and acting upon one

Moderate and stable pain reductions as a result of interdisciplinary pain rehabilitation—A cohort study from the Swedish quality registry for pain rehabilitation (SQRP)

Few studies have investigated the real-life outcomes of interdisciplinary multimodal pain rehabilitation programs (IMMRP) for chronic pain. This study has four aims: investigate effect sizes (ES); analyse correlation patterns of outcome changes; define a multivariate outcome measure; and investigate whether the clinical self-reported presentation pre-IMMRP predicts the multivariate outcome. To thi

Negotiating and sustaining temporary organizing through affective practices

In this study I investigate how collaborative relations in temporary organizing are mobilized and aligned towards a creative vision using affective practices. Building on the current literature, I argue that affective relations are a central to understanding the tension ridden negotiations of collaborative relations in temporary organizing. I draw upon the notion of affective practices to conceptu

Adulthood weight changes, body mass index in youth, genetic susceptibility and risk of atrial fibrillation : a population-based cohort study

Background: Epidemiological evidence on weight change and atrial fibrillation (AF) remains limited and inconsistent. Previous studies on body mass index (BMI) in youth and AF rarely considered subsequent BMI. This study aimed to assess the associations of AF with weight change and BMI in youth, as well as modified effect by genetic susceptibility of AF. Methods: The study included 21,761 individua

Habitual Coffee, Tea, and Caffeine Consumption, Circulating Metabolites, and the Risk of Cardiometabolic Multimorbidity

CONTEXT: Cardiometabolic multimorbidity (CM) is an increasing public health concern. Previous observational studies have suggested inverse associations between coffee, tea, and caffeine intake and risks of individual cardiometabolic diseases; however, their associations with CM and related biological markers are unknown.METHODS: This prospective study involved 172 315 (for caffeine analysis) and 1

Big data, big problems: Why scientists should refrain from using Google Trends

Google Trends has for over a decade been used by researchers in medicine and the social sciences who want to use information about internet searches to gain new data and insights concerning medical and social issues. A similar tool by the same company, Google Flu Trends, was abolished by Google in 2015 due to serious problems with accuracy; raising larger questions about the quality of the data pr