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LUMES Master Thesis Duygu Kesten Master Thesis Evaluating and Enhancing Transparency and Reporting Performance of the Telecommunications Service Sector in the ICT Industry drawing on the Concept of Responsible Corporate Governance Lund, Sweden, November 22nd 2004 From: Duygu Kesten 510 Sok. No:5 35030 Bornova – Izmir Turkey duygukesten@yahoo.com Supervisor: Justus von Geibler Wuppertal Institut fü
https://www.lumes.lu.se/sites/lumes.lu.se/files/kesten_duygu.pdf - 2026-05-31
This article is over 5 years old, and the information may therefore be outdated. “I’m committed to the students and their education and I want to make the best I can with the help of the tools we have at our disposal”, says Igor Martins, teacher at School of Economics and Management, Lund University. Since Igor is such a popular teacher he was asked to share his best tips for teaching. Igor was as
https://www.education.lu.se/en/article/tips-using-digital-tools-your-course-teacher-year - 2026-05-29
Welcome to the CEC guide for funding applications to external and internal funders. Here you find information about the CEC's internal process - who you need to contact, when and why - along with information on open calls and opportunities, and links to funders and support pages. When you apply for research funding or other funding that is to be placed in full or in part at the CEC, in most cases
https://www.cec.lu.se/staff-pages/applying-funding - 2026-05-29
Booking is done via TimeEdit Booking of loaner bikesMaximum time of use: 24 hours. If needed for a longer time, the bicycle has to be re-booked.Loan is only permitted for work-related needs, not for private use.Booking a bicycle is obligatory, using TimeEdit via this link. To find the cars/ bicycles filter on “Fordon/släp” in “Equipment type”.Collection of keys: Bike keys are in the key cabinet on
https://www.mgeo.lu.se/internal/support-and-tools/loaner-bikes-and-cars - 2026-05-29
You are at the shop to buy food for the weekend. The shop’s security guard is keeping a close eye on you and you start to get nervous. He approaches you and you feel that you are starting to break out in a sweat. What the heck does he really want? This is not happening for real. It is just a situation in a virtual world, tailor-made for violent criminals to train them to control their aggression.
https://www.staff.lu.se/article/captivating-vr - 2026-05-30
Precise patient positioning and daily anatomical verification are crucial in external beam radiotherapy to ensure accurate dose delivery and minimize harm to healthy tissues. However, Current image-guided radiotherapy techniques struggle to balance high-quality volumetric anatomical visualization and rapid low-dose imaging. Addressing this, reconstructing volumetric images from ultra-sparse X-ray
Distributed MIMO and integrated sensing and communication are expected to be key technologies in future wireless systems, enabling reliable, low-latency communication and accurate localization. Dedicated localization solutions must support distributed architecture, provide scalability across different system configurations and meet strict latency requirements. We present a scalable message-passing
Detta kapitel behandlar teknikens roll för skapandet av användarnas tillit. Kapitlet tar upp tillämpningen av Common Criteria-metodiken (CC) som exempel, och bankernas arbete med att säkra sina system.
When developing general-purpose robot software components, we often lack complete knowledge of the specific contexts in which they will be executed. This limits our ability to make predictions, including our ability to detect program bugs statically. Since running a robot is an expensive task, finding errors at runtime can prolong the debugging loop or even cause safety hazards. This paper propose
Purpose: Tensor-valued diffusion encoding can disentangle orientation dispersion and subvoxel anisotropy, potentially offering insight into microstructural changes after cerebral ischemia. The purpose was to evaluate tensor-valued diffusion MRI in human acute ischemic stroke, assess potential confounders from diffusion time dependencies, and compare to Monte Carlo diffusion simulations of axon bea
Interpretability has become a crucial component in the Machine Learning (ML) domain. This is particularly important in the context of medical and health applications, where the underlying reasons behind how an ML model makes a certain decision are as important as the decision itself for the experts. However, interpreting an ML model based on limited local data may potentially lead to inaccurate co
Filter exchange imaging (FEXI) is a double diffusion-encoding (DDE) sequence that is specifically sensitive to exchange between sites with different apparent diffusivities. FEXI uses a diffusion-encoding filtering block followed by a detection block at varying mixing times to map the exchange rate. Long mixing times enhance the sensitivity to exchange, but they pose challenges for imaging applicat
Machine learning techniques often lack formal correctness guarantees, evidenced by the widespread adversarial examples that plague most deep-learning applications. This lack of formal guarantees resulted in several research efforts that aim at verifying Deep Neural Networks (DNNs), with a particular focus on safety-critical applications. However, formal verification techniques still face major sca
Natural killer (NK) cells represent the cytotoxic member within the innate lymphoid cell (ILC) family that are important against viral infections and cancer. Although the NK cell emergence from hematopoietic stem and progenitor cells through multiple intermediate stages and the underlying regulatory gene network has been extensively studied in mice, this process is not well characterized in humans
The dependence of the diffusion MRI signal on the diffusion time carries signatures of restricted diffusion and exchange. Here we seek to highlight these signatures in the human brain by performing experiments using free gradient waveforms designed to be selectively sensitive to the two effects. We examine six healthy volunteers using both strong and ultra-strong gradients (80, 200 and 300 mT/m).
We introduce a method for assessing cardiac mechanical efficiency via a porcine ex situ biventricular working heart model, designed to closely replicate physiological conditions and improve the evaluation of donor heart viability for transplantation. The method aims to provide decision support for the safe utilization of hearts that might otherwise be discarded. Quantifying the heart’s pumping wor
