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As energy demand increases worldwide, the interest in hydrogen has increased as well. Hydrogen is an excellent energy source and an essential component in large industries such as oil refineries, ammonia production plants and methanol synthesis plants. To produce hydrogen, steam methane reforming process is used where methane (CH4) and steam (H2O) is converted to carbon monoxide (CO) and hydrogen

It is well known that the testicles are among the most radiosensitive tissue, and constitute an important critical target for both external and internal radiation during diagnostic and therapeutic use of radionuclides. In systemic radionuclide therapy where very high activities are administered, the testis may become a dose-limiting organ; often with a complex, non-uniform activity distribution an

The HAVOSS (Handling Vulnerabilities in OSS) maturity model describes important processes for managing security vulnerabilities in OSS modules in developed products. So far, the model has not been evaluated in any real assessment process. Here we present a study where the model was evaluated by using it in assessments of processes for two product types in one organization. Each assessment was cond

Modern radiotherapy aims to treat the decease while minimizing the radiation dose to the adjacent normal tissue, to minimize acute and late effects of the treatment. The foremost technological approaches have been intensity modulated radiotherapy (IMRT) and intensity modulated proton therapy (IMPT) in combination with image guided radiotherapy (IGRT). IMRT and IMPT is characterized by a more confo

In the brain, focal ischemia results in a local region of cell death and disruption of both local and remote functional neuronal networks. Tissue reorganization following stroke can be limited by factors such as extracellular matrix (ECM) molecules that prevent neuronal growth and synaptic plasticity. The brain's ECM plays a crucial role in network formation, development, and regeneration of the c

Utilizing machine learning to understand sepsis Sepsis is one of the deadliest syndromes in modern time, with little to no effective therapies available. In this project, machine learning was utilized to gain insight into the underlying biology of sepsis - a necessary step in finding novel and effective treatments and diagnostic tools. Sepsis is a syndrome (collection of symptoms) which is respon

BACKGROUND: Matrix Gla protein (MGP) is an extrahepatic protein that is dependent on glutamate carboxylation, a vitamin K-dependent process. Its dysfunctional form, desphospho-uncarboxylated-MGP, has been associated with increased arterial calcification and stiffness. The aim of this study was to measure the degree of postoperative carboxylation of MGP and two other Gla proteins in patients schedu

https://www.cors.lu.se/aktiviteter/tidigare-aktiviteter/mobile-bodies-travelling-theories/program - 2026-05-19

https://www.pi.lu.se/teman/gastforskare/stefania-barca - 2026-05-19

This paper presents a preliminary method developed for improved decision-support based on probabilistic methods for risk assessment using building performance simulations. The aim of the method is to support the decision-maker in all stages of the building process when deciding on the design of a building by including uncertainties and quantifying; the probability of fulfilling objectives; energy