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Some harm reduction strategies encourage individuals to switch from a harmful addictive good to a less harmful addictive good. This approach is controversial, with advocates claiming it helps switching to a less harmful substance, and opponents claiming it may lead to new substance abuse. This paper builds on theories of addiction to model the introduction of a harm reduction method, and it demonstrates when each side is correct, depending on the enjoyableness of the harm reduction method, the addictiveness of the harm reduction method, and the substitutability with the original addictive good.

This is collection of all the stories' titles published on Wattpad at the date: January 2018. It's a corpus of around 30 millions titles in more than 50 different languages. It includes mainly original fiction and a small part of fan fiction (roughly 10%). The R Markdown files regarding the procedures for network analysis and sentiment analysis can be found in the GitHub repository: https://github.com/SimoneRebora/Wattpad_analysis We published an article based on this data https://doi.org/10.1371/journal.pone.0226708

We consider the aggregate and distributional impact of Universal Basic Income (UBI). We develop a model to study a wide range of UBI programs and financing schemes and to highlight the key mechanisms behind their impact. The most crucial channel is the rise in distortionary taxation (required to fund UBI) on labor force participation. Second in importance is the decline in self-insurance due to the insurance UBI provides, resulting in lower aggregate capital. Third, UBI creates a positive income effect lowering labor force participation. Alternative tax-transfer schemes mitigate the impact on labor force participation and the cost of UBI.

The paper analyses the Concept Development and Experimentation (CD&E) approach which has been developed and implemented in NATO over the last 20 years. NATO’s CD&E approach is explained as an organisational innovation and institutional response to external and internal pressures. Within the theoretical framing of institutional isomorphism, the paper analyses the adoption of CD&E in the European Union’s (EU) Common Security and Defence Policy (CSDP). The research hypothesis is that the EU will adopt and apply NATO’s CD&E approach in the EU’s defence planning and capability development process. The empirical findings from the analysis of the EU policy practice, however, show that CD&E has actually been adopted from NATO and applied by the EU to a very limited extent. The low degree of isomorphism between NATO and the EU with regard to applying CD&E is explained by a complex set of factors. The research results have broader implications, suggesting that under the current institutional settings it is highly unlikely CD&E to be adopted by other international organisations in the field of international security.

An increasing number of researchers support reproducibility by including pointers to and descriptions of datasets, software and methods in their publications. However, scientific articles may be ambiguous, incomplete and difficult to process by automated systems. In this paper we introduce RO-Crate, an open, community-driven, and lightweight approach to packaging research artefacts along with their metadata in a machine readable manner. RO-Crate is based on Schema$.$org annotations in JSON-LD, aiming to establish best practices to formally describe metadata in an accessible and practical way for their use in a wide variety of situations. An RO-Crate is a structured archive of all the items that contributed to a research outcome, including their identifiers, provenance, relations and annotations. As a general purpose packaging approach for data and their metadata, RO-Crate is used across multiple areas, including bioinformatics, digital humanities and regulatory sciences. By applying "just enough" Linked Data standards, RO-Crate simplifies the process of making research outputs FAIR while also enhancing research reproducibility. An RO-Crate for this article is available at https://www.researchobject.org/2021-packaging-research-artefacts-with-ro-crate/ Comment: 42 pages. Submitted to Data Science

A transnational flow of capital exchange during the 19th and early 20th centuries brought planning ideas and modernity into China. Since European countries and America used violence to place China ...

With the increasing adoption of technology, more and more systems become target to information security breaches. In terms of readily identifying zero-day vulnerabilities, a substantial number of news outlets and social media accounts reveal emerging vulnerabilities and threats. However, analysts often spend a lot of time looking through these decentralized sources of information in order to ensure up-to-date countermeasures and patches applicable to their organisation’s information systems. Various automated processing pipelines grounded in Natural Language Processing techniques for text classification were introduced for the early identification of vulnerabilities starting from Open-Source Intelligence (OSINT) data, including news websites, blogs, and social media. In this study, we consider a corpus of more than 1600 labeled news articles, and introduce an interpretable approach to the subject of cyberthreat early detection. In particular, an interpretable classification is performed using the Longformer architecture alongside prototypes from the ProSeNet structure, after performing a preliminary analysis on the Transformer’s encoding capabilities. The best interpretable architecture achieves an 88% F2-Score, arguing for the system’s applicability in real-life monitoring conditions of OSINT data.