We propose the Virtual Bingo Blower (VBB) as a way to generatecredible risk and ambiguity in computerized experiments. Using aphysics engine—a computer simulation of a physical system—the VBBsimulates a conventional bingo blower. Different aspects of the VBB,such as the number of balls, their color, and their speed, can be easilymodified. In an online experiment, we measure ambiguity attitudes and

Mechanical testing of articular cartilage yields highly variable results, posing challenges for tissue characterization. Many factors cause variability, one is sample geometry. Using in-situ phase-contrast enhanced synchrotron micro-tomographs of cartilage samples while tested in unconfined compression (stress relaxation) our group found high variability in the mechanical response. Since all sampl

Many scholars are struggling to find their way in a reality characterised by a growing sense of urgency to solve pressing social problems and a diminishing faith in traditional institutions, such as universities, spreading through society. Some scholars respond by turning towards activism, which manifests in overtly ideological teaching, increasingly radical critical research agendas, and even pub

B-cell progenitor acute lymphoblastic leukemia (BCP-ALL) is the most common childhood malignancy and is driven by multiple genetic alterations that cause maturation arrest and accumulation of abnormal progenitor B cells. Current treatment protocols with chemotherapy have led to favorable outcomes but are associated with significant toxicity and risk of side effects, highlighting the necessity for

High racial disparities between Europeans and Africans and high skill premiums are recurrent themes in the literature on inequality in colonial Africa. However, their determinants and effects on inequality remain underexplored. This paper investigates wage inequality, skill premiums, and racial discrimination in British Tanganyika from c. 1920 to 1960. It provides first estimates for wage inequali

This conference contribution investigated the need for prioritizing resilience and mindfulness in academia and elaborated on a pragmatic approach to how we as scholars, can improve our well-being collectively in today’s demanding academic environment.This essay investigates the need for prioritizing resilience and mindfulness in academia and elaborated on a pragmatic approach to how we as scholars can improve our well-being collectively in today’s demanding academic environment.

The aim of the creation of this cohort was to investigate patterns of health and health care utilisation before and during the COVID-19 pandemic, overall and in relation to specific diagnoses, among people with intellectual disabilities (ID) compared to the general population. People living in Skåne, the southernmost region of Sweden, on 1st of January 2014 with at least one diagnosis of ID (ICD-1

Comparative analyses of gene birth–death dynamics have the potential to reveal gene families that played an important role in the evolution of morphological, behavioral, or physiological variation. Here, we used whole genomes of 30 species of butterflies and moths to identify gene birth–death dynamics among the Lepidoptera that are associated with specialist or generalist feeding strategies. Our w

INTRODUCTION: Remote unsupervised cognitive assessments have the potential to complement and facilitate cognitive assessment in clinical and research settings. METHODS: Here, we evaluate the usability, validity, and reliability of unsupervised remote memory assessments via mobile devices in individuals without dementia from the Swedish BioFINDER-2 study and explore their prognostic utility regardi

Many species rely on celestial cues as a reliable guide for maintaining heading while navigating. In this paper, we propose a method that extracts the Milky Way (MW) shape as an orientation cue in low-light scenarios. We also tested the method on both real and synthetic images and demonstrate that the performance of the method appears to be accurate and reliable to motion blur that might be caused

Purpose: The purpose of this study was to investigate whether the lesion risk score provided by an AI system is influenced by the selection of exposure parameters. Methods: A breast phantom which contains a lesion, was imaged with digital mammography with different imaging conditions. The tube voltage, the dose level and the anode-filter combination were varied based on an exposure obtained with a

Digital breast tomosynthesis (DBT) has become a standard screening tool for breast cancer. However, its diagnostic performance is still limited compared to contrast-enhanced MRI, especially in women with dense breasts. Ultrafast dynamic contrast-enhanced (UF DCE) MRI and diffusion-weighted imaging (DWI) offer a shorter scanning time than conventional MRI and have shown promise in previous studies.

The tunneling dynamics of a magnetic Dy164 quantum gas in an elongated or pancake skewed double-well trap is investigated with a time-dependent extended Gross-Pitaevskii approach. Upon lifting the energy offset, different tunneling regimes can be identified. In the elongated trap and for sufficiently large offset, the different configurations exhibit collective macroscopic tunneling. For smaller o

This paper derives theoretical results for adaptive bias in Doherty amplifiers and presents the design and measurements of an integrated adaptive bias circuit tailored for high peak-to-average high bandwidth signals. Fundamental equations for output power, impedance, and efficiency of the complete Doherty amplifier are derived. Even with ideal transistor models, the Doherty amplifier is fundamenta

Many forms of small-size radars suffer from minor clock oscillations due to crystalline impurities in their internal clocks, causing time-varying clock offsets between the transmitter and the receivers. This offset causes a bias and an increased variance in the positioning of close-range targets, limiting the achievable accuracy well beyond the expected estimation limitations. This performance is

This paper develops an adaptive grid two-dimensional (2-D) direction-of-arrival (DOA) estimation technique employing an integrated dictionary framework. In contrast to using a traditional grid over distinct angles, combined angle information atoms are adopted to construct the dictionary, using a SPICE-based noise power estimate to select the active regions. To compensate for off-grid bias effects,

The tumor microenvironment (TME) is composed of various cellular components such as tumor cells, stromal cells including fibroblasts, adipocytes, mast cells, lymphatic vascular cells and infiltrating immune cells, macrophages, dendritic cells and lymphocytes. The intricate interplay between these cells influences tumor growth, metastasis and therapy failure. Significant advancements in breast canc