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The activation of metaphorical thought as a function of stimulus saliency

The automatic activation of spatial representations of affect has mainly been studied using stimuli at the extreme ends of the valence continuum, such as happy and angry facial expressions (e.g., Damjanovic & Santiago, 2016). It remains unclear whether the 'up = good' metaphor can also be triggered by stimuli with subtle valence. This issue was investigated in the current series of visual sear

Operando study of Ni-22Cr oxidation dynamics with nanoscale resolution in an X-ray photoemission electron microscope

Understanding the initial oxidation pathways on binary Ni-Cr surfaces is import for alloy development and rational design. The early-stage oxidation of Ni-22wt% Cr is studied in-situ and in-operando with synchrotron-based x-ray photoelectron microscopy (XPEEM) and x-ray photoelectron spectroscopy (XPS) at 500 °C and oxygen exposure from 0 to 65 Langmuir. Preferential Cr oxidation is accompanied by

Residual stresses and microstructure in fine grained cemented carbides doped with Cr and Ti

Three fine grained WC-10 vol% Co cemented carbide materials were produced. One with 1 w% Cr addition, one with 0.025 w% Ti addition and one with both additions of 1 w% Cr and 0.025 w% Ti. It was found that doping of both Cr and Ti is advantageous for grain growth inhibition over just Cr- or Ti-doping. The impact of Cr and Ti as grain growth inhibitors on the residual stress state after sintering w

Super-resolution fluorescence microscopy and cryogenic soft X-ray tomography enable intracellular localization of stable nanoparticles

Cubosomes have emerged as a powerful platform for cancer treatment due to their biocompatibility and ability to encapsulate hydrophilic/lipophilic drugs, providing controlled drug release. While investigating these nanoparticles' stability and intracellular localization is essential for advancing them as clinically efficient nanomedicine, such studies are still lacking, and those available do not

Algorithmic Management Learning

In this short paper, we reflect on ‘algorithmic management learning’ – a phenomenon that dates back to the early twentieth century but has gained fresh impetus in the dawning age of artificial intelligence. In particular, we suggest that management learning has today become a human-machine hybrid. This form of management learning is not only increasingly non-reflexive, it is also impeding the huma

Unexpected shift from cyanobacterial to dinoflagellate dominance due to a summer drought

The ruling paradigm is that future climate change scenarios will lead to an increase in the frequency, intensity, and duration of cyanobacterial blooms across the globe. It was therefore unexpected when, during an unusually warm and dry summer in southern Sweden in 2018, cyanobacteria did not dominate the phytoplankton community of the temperate Lake Vombsjön known for toxic cyanobacterial blooms.

Digital municipal currencies as a policy instrument for counter-politics : The case of the State of Rio de Janeiro

At the onset of the pandemic, Brazil’s Federal government approved an emergency basic income to be transferred to a variety of groups that had not earlier received any of the established welfare programs. Its implementation was however riddled with challenges. With a large informal economy, many Brazilian citizens were missing from the Federal Government’s registry and, even if registered, many di

Are women less effective leaders than men? Evidence from experiments using coordination games

We study whether one reason behind female underrepresentation in leadership is that female leaders are less effective at coordinating followers’ actions. Two experiments using coordination games investigate whether female leaders are less successful than males in persuading followers to coordinate on efficient equilibria. In these settings, successful coordination hinges on higher-order beliefs ab

Rapid subgenus identification of human adenovirus isolates by a general PCR

In most clinical situations involving adenovirus infection, subgenus (subgroup) identification of an adenovirus isolate is as informative as a finer identification by serotype. A PCR method which allows the identification of human adenovirus isolates as members of subgenera A, B:1, B:2, C, D, E, or F is described. It is based on a simple (nonnested) PCR using primers which bind to regions immediat

Shaping inequality: Progressive taxation under human capital accumulation

This paper develops a model of human capital accumulation with on-the-job learning subject to obsolescence risk. The model analytically characterizes trade-offs of reforming the level of income tax progressivity and matches well income inequality in the US. An enriched version is used to quantitatively investigate optimal tax progressivity in the US. In contrast to standard models with exogenous i

Green portfolios

We develop a long-horizon asset pricing model in which equity investments may damage future production/consumption possibilities through their climate impact. We derive a four-fund separation result and determine the stocks' equilibrium returns. Stocks that have a sufficiently adverse impact on the climate may appear to have positive alphas relative to the CAPM. We further link our equilibrium ret

Modeling Inequality and Mobility with Stochastic Processes

This paper presents tractable two parameter stochastic processes of the drift-diffusion class in order to model economic processes with a focus on income. Starting from the resulting closed-form, cross-sectional distributions, easy-to-interpret expressions for mobility and inequality (including the popular Gini-coefficient) are derived. The general processes are applied to discuss income mobility

Concave consumption functions -A closed-form characterization

This paper presents a closed-form expression for the concave consumption function in a model with liquidity constraints and spanned labor and capital income risk. Local Marginal Propensities to Consume (MPCs) and buffer-stock savings are analytically characterized allowing to identify its determinants. Solutions for common examples of the Hyperbolic Absolute Risk Aversion (HARA) class are presente

Biosynthesis, processing and sorting of neutrophil proteins : insight into neutrophil granule development

Neutrophil granulocytes are specialized phagocytic cells that carry a collection of granules for regulated secretion, each with distinct constituents. The granules can be classified as azurophil (primary), developed first, followed in time by specific (secondary) granules gelatinase granules, and secretory vesicles. Stage- and tissue-specific transcription factors govern the successive expression

Characterization of the biosynthesis, processing, and sorting of human HBP/CAP37/azurocidin

Azurocidin is a multifunctional endotoxin-binding serine protease homolog synthesized during the promyelocytic stage of neutrophil development. To characterize the biosynthesis and processing of azurocidin, cDNA encoding human preproazurocidin was stably transfected to the rat basophilic leukemia cell line RBL-1 and the murine myeloblast-like cell line 32D cl3; cell lines previously utilized to st

Processing and targeting of granule proteins in human neutrophils

Neutrophils contain an assembly of granules destined for regulated secretion, each granule type with distinct constituents formed before terminal differentiation. The earliest granules are designated azurophil (primary), followed in time by specific (secondary), and gelatinase granules as well as secretory vesicles. Transcription factors regulate the genes for the granule proteins to ensure that e