Search results

How do you feel about tracking your time? Some of you might welcome it and some might feel it’s an infringement on their freedom and privacy. Stig Nyman will bring some clarity on the topic in this week's episode, Stig is a Ph.D. student at the department for Digitalisation at Copenhagen Business School, he has dedicated his time to study the implications of being managed by an algorithm. His rese

We present a microchannel-based adaptation of mass density-gradient centrifugation for the mass density measurement of cells or microparticles. The workflow consists of three basic steps: Microchannel filling, centrifugation, and microscopy. Microchannel filling and subsequent centrifugation of two liquids with different densities allows the instantaneous, precise, and repeatable generation of a o

Ambient pressure X-ray photoelectron spectroscopy (APXPS) has emerged as an important technique for investigating surface and interface chemistry under realistic conditions, overcoming the limitations of conventional XPS restricted to ultrahigh vacuum. This review highlights the capabilities and scientific impact of APXPS at the MAX IV Laboratory, the world’s first fourth-generation synchrotron li

Studies of the Silurian sequence on Gotland have significantly advanced our understanding of Silurian climate dynamics, with much of the research focusing on small outcrops and short cores. Gotland has an extensive network of abandoned oil and gas wells. Most of these include gamma-ray well logs, which have not yet been fully utilised for their stratigraphic value. While the Ordovician succession

This dissertation coins the term algorithmic aspirational control (AAC) to describe an emergent configuration of algorithmic control. In this class of algorithmic management systems, computer-programmed procedures direct workers toward organizational goals through prompts, personal productivity dashboards, targeted algorithmic recommendations, and other forms of digital nudging. Drawing on Michel

AI methods allow for a multitude of new forms of managerial control. One is algorithmic nudging, in which organizations use AI methods to control workers through targeted recommendations. Drawing upon Michel Foucault's analytical strategies, the paper examines the intellectual heritage and ideological roots of AI-nudges. Scholars have commented on the resemblance between algorithmic nudging and Ta

Introduction: The transition from pediatric to adult healthcare represents a crucial period for adolescents and youth living with HIV. When this healthcare transition is not properly managed, it can result in negative outcomes such as loss to follow-up (LTFU), increased morbidity, and mortality. Therefore, it is essential to estimate the incidence rate and identify predictors of loss to follow-up

This paper traces the evolution of managerial thought, from the time of industrialization in Europe to the present day, to build a conceptual infrastructure for studying the continuously evolving phenomenon of algorithmic management. We develop this account using Foucault's genealogical method in order to expand the dominant view of algorithmic management as merely a form of digital Taylorism and

In this work, we use a time-warping-based morphology variation index, dwPCATpe, computed between the peak and the end of the T-wave, and assess its association with the occurrence of ventricular fibrillation (VF) episodes (VF group) in ECG recordings from 20 pigs undergoing a 40-minute coronary occlusion. The dwPCATpe series was obtained by quantifying the morphological differences between the fin

This systematic literature review investigates the relationship between air pollution exposure and inflammatory bowel disease (IBD), encompassing Crohn's disease (CD) and ulcerative colitis (UC). Despite the growing concern over air pollution's impact on various health outcomes, studies specifically addressing effects on the digestive system, particularly IBD, are relatively rare. This review aims

The implementation of new data regulation has put pressure on organizations to govern their data. However, research on data governance typically focuses on the optimal design of rules and decisionmaking about data. In this paper, we argue that the significant work that goes into responding, when data use is challenged on the basis of regulation, is a legitimate subset of data governance practice.

Critical IS research agendas are more important than ever if we wish to uncover the unanticipated and potentially harmful consequences of digital technologies. Developed from Michel Foucault’s late work, we introduce the problematization lens as a critical IS research strategy for exploring discursive commitments embedded in digital phenomena. The problematization lens is characterized by a geneal

Ultracold quantum gases with long-range anisotropic interactions host novel exotic phases of matter, such as supersolids, exhibiting both rigid and superfluid characteristics. The impact of this interplay on the out-of-equilibrium dynamics of dipolar gases, and in particular its connection with universal turbulent behavior, remains highly unexplored. Here, upon considering a dipolar Bose-Einstein

Background: 25-hydroxyvitamin D3 (25(OH)D3) affects immune function, bone health, and reproduction. The precursor of 25(OH)D3, vitamin D3, is synthesized upon ultraviolet (UV) radiation exposure, the levels of which vary. Methods: In a one-year observational study, we used multiple statistical approaches to examine 25(OH)D3 metabolism and UV exposure in 217 healthy men (aged 30–50 years) not using

This thesis explores the end-consumers’ perspective on C2C returns within e-commerce. It investigates the consumer's attitudes towards and expectations of the service by investigating potential motivational incitements and perceived hinders when potentially participating in the process. A literature review on current research on returns management and C2C services was conducted, followed by fo

The objective of this thesis is to expand on previous research by implementing a new method for order-restricted estimation of length-biased data. This paper addresses the implementation and analysis of a stochastic spatial probabilistic model for characterizing the geometric relationship between perpetrator addresses and crime scene locations. The given data are length-biased observations of a de