We study stochastic interaction network models whereby a finite population of agents, identified with the nodes of a graph, update their states in response to pairwise interactions with their neighbors as well as spontaneous mutations. These include the main epidemic models, such as the Susceptible-Infected -Susceptible, the Susceptible-Infected-Recovered, and the Susceptible-Infected-Recovered-Su

A clear understanding of the mechanisms governing the growth of nanowires is crucial to achieving control over their structures and properties. Here, we employ molecular dynamics (MD) simulations to investigate several important phenomena in Au-catalyzed Si nanowires (SiNWs) grown via the vapor–liquid–solid method. MD simulation serves as a complementary tool for uncovering the mechanisms of nanow

Objective: Speed-securing measures are intended to, as the name suggests, to secure that the speeds of road users do not exceed the safe speed for a given type of environment. The purpose of this study was to make an evaluation of existing speed-securing measures on rural roads in Sweden to see how well they manage to limit the speed. Methods and data: A total of 34 unique locations have been film

This chapter focuses on industrialization and family behavior during the twentieth century against the backdrop of economic and institutional change. It documents trends regarding marriage and fertility and union dissolution from a gender perspective, and explores the role of socioeconomic status (SES) for these processes. Findings confirm patterns regarding gender and family consistent with that

Numerous studies have demonstrated the significant impact of the resolution of solar irradiation data on the outcomes of hourly production models. Accurate integration of photovoltaic (PV) systems sometimes demands a high-resolution global horizontal irradiance (GHI) time series to capture the rapid fluctuations in PV power output induced by swift irradiance changes. Most of the available database

Today, atomic layer deposition (ALD) has become a firm corner stone of thin film deposition technology. The microelectronics industry, an early adopter of ALD, imposes stringent requirements on ALD to produce films with highly defined physical and chemical properties, which becomes even more important as device and component dimensions decrease. This, in turn, means that our understanding of the c

Static analysis tools play a crucial role in software development by detecting bugs and vulnerabilities. However, running these tools separately from the code editing process often causes developers to switch contexts, which can reduce productivity. Previous work has shown how Reference Attribute Grammars (RAGs) can be used for declarative implementation of competitive tooling for intraprocedural

This is the software artifact for the paper "Efficient Demand Evaluation of Fixed-Point Attributes Using Static Analysis" published in SLE 2024.This artifact supports the evaluation of a new demand-driven algorithm for efficient circular Reference Attribute Grammar evaluation, specifically designed to improve performance of higly circular applications, e.g., dataflow analyses for Java. The artifac

What happens when the state removes the usual obstacles preventing refugees to ‘integrate’? Our article analyses the case of Ukrainians who fled the war to settle in France. Their legal status is different from that of ‘classic’ refugees: the EU directive on temporary protection gives them the freedom to move and the right to work. Moreover, they benefit from a rather positive attitude of the gene

Around one in ten Central Asians work abroad. Most migrant workers are Uzbeks, followed by Tajiks and Kyrgyz. They leave their homeland because of poverty and a lack of prospects. Many go to Russia. Their remittances from there to their home country are an important economic factor. In Russia, migrants live under difficult conditions. Many end up living illegally. So-called “digital neighbourhoods

Recension av Lennart Pehrson, Vithetens lön. En historia om rasism.

BACKGROUND: Transportation noise has been linked with breast cancer, but existing literature is conflicting. One proposed mechanism is that transportation noise disrupts sleep and the circadian rhythm. We investigated the relationships between road traffic noise, DNA methylation in circadian rhythm genes, and breast cancer. We selected 610 female participants (318 breast cancer cases and 292 contr

The 2022 PSOGI (Peritoneal Surface Oncology Group International) and RENAPE (French Network for Rare Peritoneal Malignancies) consensus on hyperthermic intraperitoneal chemotherapy (HIPEC) was a comprehensive effort aimed at standardizing treatment protocols for various peritoneal malignancies. This initiative is critical due to the wide range of technical variations in HIPEC procedures and the re

In this article, we present our edited volume, "New Directions in Digitalisation: Perspectives from EU Competition Law and the Charter of Fundamental Rights." We examine the EU's recent regulatory initiatives, particularly the Digital Markets Act (DMA), and their implications for competition law and fundamental rights. The article provides an analysis of how the DMA aims to address market imbalanc

This article addresses the problem of multi-target localization from acoustic time delay measurements in a 3-D underwater environment, taking into account the depth-dependent sound speed of the underwater wave propagation. Specifically, we formulate the problem as an optimal mass transport (OMT) optimization over a grid of potential candidate positions. By exploiting an iterative refinement approa

The labor market integration of migrants, focusing on employment and job quality, differs notably across Southern and Continental-Northern European nations, often involving trade-offs. Nonetheless, little is known about whether these diverse migrant inclusion models in European labor markets extend to the combination of employment and overeducation. Additionally, the role of gender in this context

Sound event localization and detection (SELD) systems using audio recordings from a microphone array rely on spatial cues for determining the location of sound events. As a consequence, the localization performance of such systems is to a large extent determined by the quality of the audio features that are used as inputs to the system. We propose a new feature, based on neural generalized cross-c