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Strategic narratives in public diplomacy scholarship: practices, processes and politics of persuasion

This paper discusses the conceptual relationship between strategic narratives and public diplomacy and its analytical possibilities. It argues that public diplomacy can be understood as a set of persuasive narrative practices; that strategic narratives are central to processes of identity formation necessary for persuasive and credible public diplomacy communication; and that the contestation of s

Helping or Watching it Happen : How Participants Respond to Robot Failures in a Turn-Taking Game

Robot failures in Human-Robot Interaction (HRI), though often stemming from technical limitations, can have severe effects on the interactional dynamics between humans and robots. Prior empirical research has led to conflicting findings on how such failures influence user perceptions and the overall success of the interaction. In this study, we investigate how human participants respond to robot f

Ligand-Engineered All-In-One Cu(I) Iodide Complex Enables Near-Unity Photoluminescence and Advanced 3D X-ray Image Reconstruction

High-performance X-ray detectors are essential for 3D X-ray imaging in computed tomography (CT), but conventional systems require high radiation doses to achieve fine resolution. All-In-One (AIO) Cu(I) halide complexes, capable of forming both ionic and coordinate bonds within a single structure, offer efficient scintillation at lower doses, yet their performance remains limited by nonradiative en

Vetenskaplig akribi under tidspress – och andra utmaningar att hantera vid revideringen av en stor historisk ordbok

The first edition of the comprehensive diachronic-contemporary Swedish Academy Dictionary (SAOB) was completed in 2023 after more than 130 years of work. In 2024, a revision project was initiated with the aim of creating a more balanced dictionary by modernizing the content and addressing the major shortcomings. Tis paper discusses the revision process and the challenges encountered along the way,

The missing data for intelligent scientific instruments

Most scientific instruments currently discard rich streams of commands, data and metadata from which AI systems could learn to conduct experiments with expert-level decision-making and troubleshooting skills. Recording and using this data at scale requires rethinking what data to store, incentivizing large-scale cooperation, and determining how to quantify the reliability of such autonomous system

Gratis men lönsamt – Monetarisering av SaaS efter AI-boomen

Den nya AI-boomen sänker kraftigt kostnaden för att bygga mjukvara, snabbar på imitationen och intensifierar konkurrensen inom Software as a Service (SaaS), vilket pressar betalningsviljan mot noll. Denna studie ställer två frågor: (1) vilka affärsmodellsinnovationer och utmaningar kännetecknar monetarisering av gratis digitala tjänster, och (2) hur kan dessa insikter tillämpas på ScanThisWine, etThe new AI-boom dramatically lowers the cost of building software, accelerates imitation, and intensifies competition in Software as a Service (SaaS), pushing willingness to pay towards zero. This study asks two questions: (1) which business model innovations and challenges characterise the monetisation of free digital services, and (2) how can these insights apply to ScanThisWine, a free e-label

Catalytic α-Oxidation of N-Acylated 1,3-Oxazolidin-2-ones with Molecular Oxygen

Introduction: Molecular oxygen is the most common oxidizer in nature. Since it has been part of evolution, it is heavily incorporated into biological systems, the most significant being cellular respiration, glycolysis, and the citric acid cycle. Luckily, molecular oxygen can also be used as an oxidizer in the lab, and with the right conditions, to generate 1,2-dicarbonyl compounds. Background

A theoretical investigation of far-infrared fine structure lines at z > 6 and of the origin of the [O III ] 88 μm/[C II ] 158 μmenhancement

The far-infrared (FIR) fine structure lines [C II]158 μm, [O III]88 μm, [N II]122 μm, and [N III]57 μm are excellent tools for probing the physical conditions of the interstellar medium (ISM). The [O III]88 μm/[C II]158 μm and [O III]88 μm/[N II]122 μm luminosity ratios have shown to be promising tracers of the ionisation state and gas-phase metallicity of the ISM. Observations of galaxies at reds

Molecular docking analysis of 1,8-cineole with SARS-CoV-2 main protease Mpro and macrodomain MacI : insights into potential weak interactions

Molecular docking is a computational approach that predicts interactions between ligands and protein targets based on binding energies. In this study, the potential interactions of 1,8-cineole -one of the dominant components of Eucalyptus globulus oil- with the main protease (Mpro) and macrodomain (MacI) of SARS-CoV-2 were studied by molecular docking. Nine Mpro and four ManI structures available

Long-Term Outcome of Percutaneous Coronary Intervention Using Absorb Bioresorbable Scaffold : A SCAAR Study

Background: Bioresorbable scaffolds have been associated with inferior outcomes compared to contemporary permanent metallic drug-eluting stents (DES) for percutaneous coronary intervention, particularly within the initial years after implantation; however, their long-term performance remains uncertain. This study aimed to evaluate the long-term outcomes of Swedish patients treated with Absorb bior

On Exact Solutions to the Linear Bellman Equation

This letter presents sufficient conditions for optimal control of systems with dynamics given by a linear operator, in order to obtain an explicit solution to the Bellman equation that can be calculated in a distributed fashion. Further, the class of Linearly Solvable MDP is reformulated as a continuous-state optimal control problem. It is shown that this class naturally satisfies the conditions f

Phase retrieval using the Hessian operator

Phase retrieval is a fundamental problem in optics, particularly in ptychography, where reconstructing an unknown wavefield from intensity-only measurements poses significant computational challenges. In this work, we introduce a novel phase retrieval method using the bilinear Hessian and Hessian operator to improve optimization efficiency. By formulating the problem in a differential calculus fra

Immobility in the Context of Climate Change

In the face of escalating climate risks and impacts, the majority of people will not be able to move, will choose not to move, or may perhaps temporarily move and return to their homes. Understanding immobility in the context of climate change is thus essential to support the development of equitable and effective adaptation strategies and the resilience of people and communities that remain in at