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Engagement

This chapter examines how the Iraq War shook public confidence in government communications, and the impact of the Phillis Review upon public diplomacy theory and practice. It covers the Carter Review, which assessed levels of accountability in public diplomacy expenditure, and advised the creation of a new oversight board, the Public Diplomacy Board; efforts to make public and digital diplomacy p

Conclusion : The Quest for Gender Justice in Diplomacy

In this last chapter, a series of more general propositions about contemporary gender and diplomacy are identified from the contributions to this book. First, it provides a historical narrative on the exclusions and inclusions in diplomacy over time, suggesting the contours of general trends in the quest to end formal barriers and bring about gender parity. Second, it critically analyses the gende

In situ quantitative analysis of electrochemical oxide film development on metal surfaces using ambient pressure X-ray photoelectron spectroscopy : Industrial alloys

Ambient Pressure X-ray Photoelectron Spectroscopy combined with an electrochemical setup is used to study, in situ, the electrochemical oxide growth on an industrial Ni-Cr-Mo alloy. The native oxide film was characterized in vacuum and in water vapor at 17 mbar, and was found to be 11.4 Å thick and rich in Cr3+. In 0.1 M NaCl electrolyte, anodic growth of the oxide film at potentials up to 700 mV

Neuronal activity patterns in microcircuits of the cerebellar cortical C3 zone during reaching

Abstract: The cerebellum is the largest sensorimotor structure in the brain. A fundamental organizational feature of its cortex is its division into a series of rostrocaudally elongated zones. These are defined by their inputs from specific parts of the inferior olive and Purkinje cell output to specific cerebellar and vestibular nuclei. However, little is known about how patterns of neuronal acti

A business model pattern arrives … and then? A translation perspective on business model innovation in established firms

This study examines business model innovation in an established firm. We investigate the case of a Swedish utility company that adopted and implemented a business model pattern originating from outside the firm. We draw upon Scandinavian translation theory to understand the micro-level dynamics of how business model innovation unfolds. Our findings show that the business model pattern is disassemb

A study of neural activity and functional connectivity within the olfactory brain network in Parkinson's disease

Olfactory dysfunction is an early manifestation of Parkinson's disease (PD). The present study aimed to illustrate potential differences between PD patients and healthy controls in terms of neural activity and functional connectivity within the olfactory brain network. Twenty PD patients and twenty healthy controls were examined with olfactory fMRI and resting-state fMRI. Data analysis of olfactor

Mapping trait versus species turnover reveals spatiotemporal variation in functional redundancy and network robustness in a plant-pollinator community

Functional overlap among species (redundancy) is considered important in shaping competitive and mutualistic interactions that determine how communities respond to environmental change. Most studies view functional redundancy as static, yet traits within species—which ultimately shape functional redundancy—can vary over seasonal or spatial gradients. We therefore have limited understanding of how

Factors influencing self-management behavior during the “Blanking Period” in patients with atrial fibrillation : A cross-sectional study based on the information-motivation-behavioral skills model

Background: Atrial fibrillation (AF) is becoming increasingly common. Effective self-management during the “Blanking Period” is critical. The Information-Motivation-Behavioral skills (IMB) model can be used to study health behaviors in chronic disease patients, but it has not been studied in AF patients. Objective: The goal of this study was to explore the influencing factors and interaction pathw

A 50 µm acoustic resonator microchannel enables focusing 100 nm polystyrene beads and sub-micron bioparticles

The manipulation and focusing of submicron/nanometre-scale objects are becoming increasingly important in the fields of biology, chemistry, and materials science. Acoustofluidics provides for the high throughput and precise manipulation of cells and particles with simple equipment. However, application to submicron/nanoparticles is challenging due to the particle volume dependence of the acoustic

Necrorobotics: The Ethics of Resurrecting the Dead

By drawing from recent progress in AI, this chapter scrutinises implications of a specific imaginary of automated futures: the possible resurrection of the dead. Necrorobotics is proposed as a field of critical studies on the use of data and design based on one specific dead individual in order to “resurrect” that individual. That is, to mimic or create some level of robotic agency for the sake of

European pollen-based REVEALS land-cover reconstructions for the Holocene : Methodology, mapping and potentials

Quantitative reconstructions of past land cover are necessary to determine the processes involved in climate-human-land-cover interactions. We present the first temporally continuous and most spatially extensive pollen-based land-cover reconstruction for Europe over the Holocene (last 11g€¯700g€¯calg€¯yrg€¯BP). We describe how vegetation cover has been quantified from pollen records at a 11 spatia

Impact of cracks on distribution of chloride-induced reinforcement corrosion

Surface crack width is regulated in codes to limit corrosion of reinforcement bars in concrete. However, the influence of surface crack width on corrosion damages is not directly inferable from previous research.In this work, data on corroded cracked concrete specimens in chloride environments was compiled. Detailed information was included, such as crack and pit locations, local corrosion pattern

Deep learning can yield clinically useful right ventricular segmentations faster than fully manual analysis

Right ventricular (RV) volumes are commonly obtained through time-consuming manual delineations of cardiac magnetic resonance (CMR) images. Deep learning-based methods can generate RV delineations, but few studies have assessed their ability to accelerate clinical practice. Therefore, we aimed to develop a clinical pipeline for deep learning-based RV delineations and validate its ability to reduce