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Nyhetsbrev2017-3

Nyhetsbrev nr 3, 2017. Øresundsnätverket för kønshistorisk forskning Öresundsnätverket för kønshistorisk forskning samlar forskare från olika discipliner i syfte att utveckla och stärka kønshistorisk forskning på båda sidor om Öresund. Kalendarium på båda sidor av sundet Nedan finns programpunkter som är öppna för alla från båda sidor om sundet. Föreläsning: Sexual Violence, the Clinic and the Chu

https://www.cors.lu.se/sites/cors.lu.se/files/nyhetsbrev2017-3.pdf - 2026-04-15

MÅNADSBREV- APRIL

MÅNADSBREV- APRIL MÅNADSBREV- APRIL MODEVETENSKAP AV MODEVETENSKAPLIGA STUDIERÅDET EN LUGNARE MÅNAD Vi hoppas att ni alla haft en härlig påsk och att ni fått njuta lite av det varmare vädret som börjat komma! För oss i MVS har månaden varit en lugn sådan med fokus på ansökningar, men även en hel del tentor för oss alla utanför studierådets verksamhet. Därav har vi valt att göra en mode-recap om hä

https://www.kultur.lu.se/fileadmin/user_upload/kultur/Utbildning/Mode_maanadsbrev/MA__NADSBREV-_APRIL_2021.pdf - 2026-04-13

Ortrac Release Notes 20231023

Release Notes 1 Gothenburg 2023-01-23 Release notes, översikt, januari 2023 Detta dokument beskriver förändringar i korthet med länkar till utförliga hjälpartiklar. Releasen påverkar både administratörer och studenter. Den överlag största ändringen i releasen är en komplett omarbetad lärarupplevelse med nya menyer för snabbare åtkomst till formulär, quiz, examen, assignment och content. För studen

https://www.qps.education.lu.se/sites/qps.education.lu.se/files/2023-01/Ortrac%20release%20notes%2020231023.pdf - 2026-04-15

AI Act high-risk AI compliance challenge and industry impact : a multiple case study

The AI Act marks a new chapter in AI governance, affecting companies around the world seeking to offer their services within the European Union. This study focuses on the comprehensive AI Act requirements set out for high-risk AI systems. We explored the perceived compliance challenge for the AI Act's high-risk requirements and associated contributing factors; the AI Act's impact on industry in te

AI Act high-risk requirements readiness : industrial perspectives and case company insights

The AI Act’s (AIA) requirements for high-risk AI systems affect many aspects of modern software systems. Knowing which AIA-related technical challenges are relevant to different companies is essential to focus compliance-oriented research on the aspects that matter. We therefore conducted an interview study in collaboration with a case company that specializes in network video solutions within the

CyberROAD : a cybersecurity risk assessment ontology for automotive domain aligned with ISO/SAE 21434:2021

The automotive domain is becoming increasingly complex through the integration of new technologies. As a result, cybersecurity is recognized as a pressing issue. This study focuses on the ISO/SAE 21434:2021 standard for road vehicles cybersecurity engineering, evaluating the effectiveness of the standard’s risk assessment approach. The standard suggests a set of assessment steps, and previous rese

Resilient automatic model selection for mobility prediction

In order to avoid extensive machine learning models selection and optimizations, Automated Machine Learning (AutoML) has arisen as a practical and efficient way to apply machine learning to many different application areas. Data poisoning is a real threat to the accuracy of machine learning models in different settings, and it has in recent research studies been shown that the usage of AutoML can

Learning at the edge : simulated DDoS detection in 5G networks

The growing use of 5G networks for critical services makes them vulnerable to Distributed Denial of Service (DDoS) attacks. While numerous Machine Learning (ML)-based approaches have been proposed, the real-world deployability of these models remains understudied. This work presents what is, based on existing literature, the first simulation-driven methodology to evaluate both the transferability

Catching common vulnerabilities with code language models

Code Language Model (code-LM)-based vulnerability detection for C/C++ faces a substantial challenge. Previous research has shown that even though it is better than any prior machine learning approach, it still struggles to generalize well, as shown by the low F1 score. Prior works treated the problem as a binary classification: either vulnerable or non-vulnerable. Looking deeper at the various vul

No title

Nyhetsbrev från Akademikerföreningen Sveriges Ingenjörer vid Siemens Energy AB Kontakt: asi.se@siemens-energy.com Redaktörer: SvE, CH, SJ Nr: 01/24 2024-01-05 Ny styrelse för ASI ASI-styrelsen ser efter årsmötet 2023-11-22 ut som följer: Namn Funktion Simon von Eckardstein ordförande Cathrine Haraldsson vice ordförande Emma Bjurman kassör Julia Bahri sekreterare Johan Östrem vice sekreterare Eric

https://www.saco.se/globalassets/lokala-akademikerforeningar/privat/siemens-energy-ab/nyhetsbrev/asi-nyhetsbrev-0124.pdf - 2026-04-14

147 Stahl AJG 2022

AJG-22-1277_pap 1..7 Incidence of Pediatric Celiac Disease Varies by Region Marisa Stahl, MD1, Qian Li, PhD2, Kristian Lynch, PhD3, Sibylle Koletzko, MD4,5, Pooja Mehta, MD1, Loren Gragert, PhD6, Jill M. Norris, PhD7, Carin Andrén Aronsson, PhD8, Katri Lindfors, PhD9, Kalle Kurppa, MD, PhD9,10, Jorma Ilonen, MD, PhD11, Jeffrey Krischer, PhD3, Beena Alkolkar, PhD12,13, Anette-G Ziegler, MD14, Jorm

https://www.teddy.lu.se/sites/teddy.lu.se/files/2023-04/147%20Stahl_AJG_2022.pdf - 2026-04-15

The social construction of the female athlete’s identity: A case study of the Dutch national women’s volleyball team.

Looking from a PR perspective, sport can be seen as a microcosm of social life, and be used to reveal underlying values as power relations in society. This qualitative case study concerned itself with the social identity construction of female athletes and the effect of social change on this identity, in order to analyse gender issues in society. While taking a constructionist approach, the theore

Towards proactive support for human-robot collaboration

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

Trust calibration in IDEs : paving the way for widespread adoption of AI refactoring

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

QUPER-MAn : benchmark-guided target setting for maintainability requirements

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

Excel isn’t a process, and not all ‘intelligence’ is smart

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

Responsible requirements engineering in a VUCA world

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.

Sentiment analysis for the masses : how LLMs changed the game

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.