Machine learning models are used to help scientists analyze large amounts of data across all fields of science. These models become better with more data and larger models mainly through supervised learning. Both supervised learning and model validation benefit from annotated datasets where the annotations are of high quality. A key challenge is to annotate the amount of data that is needed to tra

We propose an adaptive change point detection method (A-CPD) for machine guided weak label annotation of audio recording segments. The goal is to maximize the amount of information gained about the temporal activations of the target sounds. For each unlabeled audio recording, we use a prediction model to derive a probability curve used to guide annotation. The prediction model is initially pre-tra

This article compares Swedish social workers, teachers, and journalists’ experiences of workplace violence. It addresses similarities and differences between the three professional groups in terms of who exposed them to workplace violence, what it was about, and what triggered it. The article is based on an online survey study, and the findings suggest that consumerrelated violence from target groThis article compares Swedish social workers, teachers, and journalists’ experiences of workplace violence. It addresses similarities and differences between the three professional groups in terms of who exposed them to workplace violence, what it was about, and what triggered it. The article is based on an online survey study, and the findings suggest that consumer-related violence from target gr

BACKGROUND: The medial temporal lobe (MTL) is hypothesized to be relatively spared in early-onset Alzheimer's disease (EOAD). Yet, detailed examination of MTL subfields and drivers of atrophy in amnestic EOAD is lacking.METHODS: BioFINDER-2 participants with memory impairment, abnormal amyloid-β and tau-PET were included. Forty-one amnestic EOAD individuals ≤65 years and, as comparison, late-onset

Micron-sized aluminum (Al) particles have recently been proposed as promising carbon-free energy carriers. To facilitate the application of micron-sized Al particles as fuel in practical energy generation system, this study experimentally investigates the underlying mechanisms of the ignition, stabilization and particle-particle collision in lifted Al particle cloud flames. High-resolution shadowg

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

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

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

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

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

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

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

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

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