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AHRI conference 2024 - The Raoul Wallenberg Institute of Human Rights and Humanitarian Law Skip to content Search for: Search Button Home About Us Who We Are Our History About Raoul Wallenberg Our Theory of Change Staff Opportunities Annual Reports Whistleblower Our work What we do Multi-Disciplinary Research Higher Education Strategic Advice and Analysis Outreach Evaluation of Programme Work Meth

https://rwi.lu.se/ahri-conference-2024/ - 2026-05-28

Om Planetariet i Lund | Vattenhallen Hoppa till huvudinnehåll Den här webbplatsen använder cookies för att förbättra användarupplevelsen. Genom att fortsätta använda webbplatsen samtycker du till att cookies används enligt vår cookie-policy (på LTH:s webbplats) . Absolut nödvändiga cookies Dessa cookies är nödvändiga för att webbplatsen ska fungera och kan inte stängas av i våra system. Dessa cook

https://www.vattenhallen.lu.se/planetariet/om-planetariet/historien-om/ - 2026-05-28

Laboratoriet för Digital Arkeologi DARK Lab Previous Next Dynamic Collections Plus Explore our latest and more connected platform Go to the platform Learning Hub Explore tutorials, training materials, MA courses, and our dynamic network of students and teachers. Read more   Digital Collections Dive into our extensive archive of archaeological collections, artifacts, monuments, excavations, and a r

https://www.darklab.lu.se/ - 2026-05-09

MultiPark researchers have discovered a new promising pharmacological approach stimulating recovery after stroke. Professor Tadeusz Wieloch tells about how the MultiPark Innovation Office supported the first steps in converting their academic research findings into something with commercial potential that may finally benefit the patients. Around 80% of people who suffer a stroke permanently lose s

https://www.multipark.lu.se/article/turning-academic-discoveries-therapies-how-multipark-innovation-office-helps - 2026-05-29

Transport Biofuels in Sweden: Joanne Morris Transport Biofuels in Sweden 16 May 2011 1 Transport Biofuels in Sweden: Stakeholders’ perceptions of the Renewable Energy Directive’s governance of the industry by Joanne Morris Supervisor: Sara Brogaard (LUCSUS) Co-supervisor: Bodil Elmqvist (LUCSUS) A Thesis submitted to Lund University in partial fulfillment of the requirements for the degree of MAST

https://www.lumes.lu.se/sites/lumes.lu.se/files/morris_joanne_thesis_2011.pdf - 2026-05-30

Semiconductor technology constantly advances, enabling integrated circuits (ICs) with increasingly numerous, faster, and smaller transistors. While this progress offers many benefits, it also presents new challenges, such as tighter margins, wear-outs, and process variations. To effectively tackle these challenges, the conventional approach of using external test instruments during manufacturing t

Testing printed circuit boards (PCBs) is an important part of the production process. The development and generation of tests is however a labour-intensive process that requires expertise and deep understanding of the PCB. As generative Artificial Intelligence in form of Large Language Models (LLMs) as evolved, we explore its use for PCBs test generation. The main question is: for a given design s

To have a successful career in engineering, students need both technical engineering skills and non-technical engineering skills (NTES) in the transition to professional life. To address NTES in engineering education, the concept of six compulsory ‘engineering days’ were introduced in two engineering programs at the undergraduate level. The importance of different NTES for industry has been evalua

Sustainability footprints are caused by semiconductor malfunctioning; production challenges (low yield) and customer returns (wear-out). We work with standards, techniques, and methods to quickly and accurately pin-point and mitigate malfunctioning aiming at graceful degradation to prolong operational lifetime.

Monitoring time-dependence with diffusion MRI yields observables sensitive to compartment sizes (restricted diffusion) and membrane permeability (water exchange). However, restricted diffusion and exchange have opposite effects on the diffusion-weighted signal, which can lead to errors in parameter estimates. In this work, we propose a signal representation that incorporates the effects of both re

Traditional control systems face challenges in managing high data loads and computing power, prompting the evolution of Cloud Control Systems (CCS)-a fusion of Networked Control Systems (NCS) and cloud computing. Despite offering manifold advantages, CCS encounters hurdles in navigating the dynamic cloud environment characterized by fluctuating workloads, rendering static frequency settings ineffi

Massive multiple-input multiple-output (MIMO) technology will continue playing an important role in beyond 5G wireless systems. Fully digital beamforming at the millimeter wave (mmWave) spectrum enables applications that require high data rates and low latency. This paper investigates the development and deployment of mmWave massive MIMO systems in an in-flight cabin environment, from both system

Cellular user positioning is a promising service provided by Fifth Generation New Radio (5G NR) networks. Besides, Machine Learning (ML) techniques are foreseen to become an integrated part of 5G NR systems improving radio performance and reducing complexity. In this paper, we investigate ML techniques for positioning using 5G NR fingerprints consisting of uplink channel estimates from the physica

With the growing demand for efficient, safe and sustainable transportation systems, the imperative to design intelligent routing and traffic management solutions within urban settings, requiring minimal data exchange and ensuring scalability, becomes evident. This paper introduces an innovative paradigm for traffic management. By seamlessly integrating machine learning and Autonomous Intersection

Massive multiple-input multiple-output (MIMO) plays an important role in beyond 5G systems to support high data rate and low latency, especially operating at millimeter-wave frequency bands. In traditional software-based simulators, the simulation time increases exponentially with the number of base station antennas and served users. We propose a hardware-in-loop simulator that combines the flexib

Importance: The lack of an in vivo measure for α-synuclein (α-syn) pathology until recently has limited thorough characterization of its brain atrophy pattern, especially during early disease stages. Objective: To assess the association of state-of-the-art cerebrospinal fluid (CSF) seed amplification assays (SAA) α-syn positivity (SAA α-syn+) with magnetic resonance imaging (MRI) structural measur

This paper elaborates on a technique for rapid real-time imaging of millimeter wave (mmWave) power density over surfaces of several wavelengths in size. The approach involves utilizing a screen-printed metasurface equipped with elements designed for absorption of mmWaves, along with an infrared camera to monitor temperature changes due to the absorption. By modulating the transmitted signal and ap