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Background Prior research suggested a differential association of 25-hydroxyvitamin D (25(OH)D) metabolites with type 2 diabetes (T2D), with total 25(OH)D and 25(OH)D3 inversely associated with T2D, but the epimeric form (C3-epi-25(OH)D3) positively associated with T2D. Whether or not these observational associations are causal remains uncertain. We aimed to examine the potential causality of thes
Obesity is a risk factor for several major cancers. Associations of weight change in middle adulthood with cancer risk, however, are less clear. We examined the association of change in weight and body mass index (BMI) category during middle adulthood with 42 cancers, using multivariable Cox proportional hazards models in the European Prospective Investigation into Cancer and Nutrition cohort. Of
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
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.
Background World economies increasingly rely on non-standard employment arrangements, which has been linked to ill health. While work and employment conditions are recognized structural determinants of health and health equity, policies aiming to protect workers from negative implications predominantly focus on standard employment arrangements and the needs of workers in non-standard employment ma
Channel sounding is a vital step in the design and deployment of wireless communication systems. In this article, we present the design and implementation of a coherent distributed massive multiple-input-multiple-output (MIMO) channel sounder operating at 5 and 6GHz with a bandwidth of 400MHz based on the NI USRP X410. Through the integration of multiple transceiver chains and radio frequency (RF)
Posttraumatic stress disorder (PTSD) and obsessive-compulsive disorder (OCD) share ostensibly similar and sometimes overlapping symptoms that complicate diagnostic assessment and conceptualization. While varying models for the symptom structure of PTSD have been proposed – including the presently used 4-factor and a more fine-grained 7-factor model – little research has focused on youth and even l
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
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
In this work we present SPL-BEV, a method to localize soccer players on a pitch from a monocular RGB camera. SPL-BEV features a network with few parameters that does not need to make any explicit object detection before localization is made. With SPL-BEV we show increased performance on the Spiideo SoccerNet SynLoc dataset compared to the best provided baseline result. The SPL-BEV system samples f
