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This study investigates how changes in temperature affect the secondary organic aerosol (SOA) phase state. SOA was formed by α-pinene ozonolysis in an atmospheric simulation chamber at temperatures (T0) in the range of 257–283 K at RH0< 20%. After more than 14 h of SOA aging, one or more heating and cooling ramps were performed. Upon heating, we observe that the onset of evaporative SOA shrinkage
Open and shared government data and services offer an instrument for achieving innovation, interoperability, and transparency in public services but require relevant competency, resources, and culture to realise, something that the public sector actors often lack. In this case study, we exemplify how these challenges to data sharing may be tackled through horizontal coordination in the case of Tra
Oily wastewater presents a serious environmental challenge, demanding sustainable and regenerative membrane technologies. Here, we report a green and scalable method for fabricating skin-replaceable cellulose membranes (SRC-M) from jute agro-waste, using a NaOH/urea activation route and argon-pressurized deposition onto ceramic supports. The resulting Cellulose II-based asymmetric membranes exhibi
Discovering topological quantum materials that combine nontrivial topology with large bandgaps and experimentally accessible signatures remains a central pursuit in condensed matter physics. We demonstrate, through first-principles calculations and tight-binding modeling, that pyrite-type osmium disulfide (OsS2) is a fragile topological insulator (FTI) characterized by an exceptionally large direc
High-pressure blocking events are anticyclones that persist over a region for a long time. Such events prevent vertical mixing of air pollutants due to the subsidence inversion created by the anticyclone. This study investigates the relationship of aerosol concentrations during periods of high-pressure blocking events in southern Sweden for the rural location of Vavihill and the urban location of
Objectives Critically ill COVID-19 patients admitted to the intensive care unit (ICU) are at an increased risk of acquiring bacterial bloodstream infections (BSI). We aimed to describe patient characteristics, risk factors, and the microbiological spectrum in blood cultures and evaluate the impact of ICU-acquired BSI on outcomes in a Nordic setting. Methods A prospective multicenter cohort study w
Carefully selecting the source data is crucial to achieve high performance of transfer learning methods for brain–computer interfaces (BCIs). Especially so in settings where a large amount of source data is available, and finding the optimal source is not computationally feasible. This paper presents a novel method for source selection, the so-called Transfer Performance Predictor (TPP) method. Th
INTRODUCTION: Resection of intraductal papillary mucinous neoplasm (IPMN) aims to prevent progression to invasive pancreatic cancer. However, the risks of pancreatic surgery and frequent findings of low-grade dysplasia (LGD) raise concerns about overtreatment. This EAHPBA-endorsed multinational study evaluated short- and long-term overall survival (OS) following preventive resection for IPMN (with
As robots increasingly integrate into our social environments, from factories to social spaces, there is a growing need to find ways to effectively collaborate in these dynamic environments. However, current robotics research is mostly aimed towards task and environment specific programming. Even the state-of-the-art collaborative robotics technologies lack or have a very rudimentary understanding
AIMS/HYPOTHESIS: The incidence of type 1 diabetes increased during the pandemic in various countries. SARS-CoV-2 infections may trigger the development of type 1 diabetes, but the evidence is inconclusive. This study aimed to assess trends in type 1 diabetes incidence between 2007 and 2023, and to quantify the association between SARS-CoV-2 infections and the risk for developing type 1 diabetes.ME
In the software industry, the drive to add new features often overshadows the need to improve existing code. Large Language Models (LLMs) offer a new approach to improving codebases at an unprecedented scale through AI-assisted refactoring. However, LLMs come with inherent risks such as braking changes and the introduction of security vulnerabilities. We advocate for encapsulating the interaction
Maintainable source code is essential for sustainable development. Yet, many studies show that maintainability often receives less attention than it deserves. We argue that requirements engineering can help close this gap by fostering discussions and setting appropriate targets in a responsible manner. In this preliminary work, we explore industry practices related to requirements engineering for
The relationship between requirements engineering and testing has been a key interest throughout my research career. It cannot be that requirements engineers are from Omicron Persei 7 and testers from Omicron Persei 9—we all live on the same planet. I’m happy to co-author this column with a former collaborator from a test automation EU project, now a manager at Ericsson. With this issue’s focus on
This column summarizes a panel discussion given by REFSQ 202 held in Barcelona on responsibility. Given the mediator role of our field, what other soft- ware engineering discipline could be a better fit for responsible engineering? And this will just keep getting more important as the influence of technology on society increases.
This column celebrates 40 years of IEEE Software through a retrospective on Requirements Engineering. Two seasoned experts discuss the discipline’s evolution from structured methodologies to AI-driven approaches. Finally, we speculate on future trends.
This column presents the evolution of sentiment analysis from a requirements engineering perspective. With large language models, the technology is now accessible to all. From novices to expert users, we discuss suitable ways to get started.
The C programming language, while offering high performance and low-level control, is memory-unsafe. This makes it prone to programming errors that can result in serious software vulnerabilities and system instability. In this paper, we investigate the feasibility of transitioning a large code base from C to a memory-safe alternative, specifically Rust, in the context of a large company in telecom
The Artificial Intelligence (AI) Act is a relatively new regulation set out in the European Union (EU). It lays out various requirements for AI systems that are placed on the market in the EU. This paper provides a critical and differentiated view of its requirements from a software engineering perspective. A detailed analysis of the legal document shows what requirements are set out for different
