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Multi-Objective Optimization of Convective Heat Transfer for a Composite Internal and Film Cooling Structure

This paper conducted a multi-objective optimization work for a composite internal and film cooling structure. The pitch-To-height ratio of the ribs, the inclination angle of the ribs, and the inclination angle of the film hole are chosen as the three design variables to enhance the heat transfer performance, improve the film cooling effectiveness and reduce the pressure loss of the internal channe

Stem cell-based interventions for the prevention and treatment of intraventricular haemorrhage and encephalopathy of prematurity in preterm infants

Background: Germinal matrix-intraventricular haemorrhage (GMH-IVH) and encephalopathy of prematurity (EoP) remain substantial issues in neonatal intensive care units worldwide. Current therapies to prevent or treat these conditions are limited. Stem cell-based therapies offer a potential therapeutic approach to repair, restore, or regenerate injured brain tissue. These preclinical findings have no

An open-source microscopy framework for simultaneous control of image acquisition, reconstruction, and analysis

We present a computational framework to simultaneously perform image acquisition, reconstruction, and analysis in the context of open-source microscopy automation. The setup features multiple computer units intersecting software with hardware devices and achieves automation using python scripts. In practice, script files are executed in the acquisition computer and can perform any experiment by mo

Chromatic aberrations correction of attosecond high-order harmonic beams by flat-top spatial shaping of the fundamental beam

Attosecond pulses created by high-order harmonic generation in gases often exhibit strong chromatic aberrations, arising from the broad bandwidth and wavelength-dependent nonlinear light-matter interaction. When the driving laser intensity varies spatially, as for Gaussian driving beams, the apparent source position of the harmonics differs significantly from one order to the next, thus affecting

Reconstructing long-term global satellite-based soil moisture data using deep learning method

Soil moisture is an essential component for the planetary balance between land surface water and energy. Obtaining long-term global soil moisture data is important for understanding the water cycle changes in the warming climate. To date several satellite soil moisture products are being developed with varying retrieval algorithms, however with considerable missing values. To resolve the data gaps

Continental-wide population genetics and post-Pleistocene range expansion in field maple (Acer campestre L.), a subdominant temperate broadleaved tree species

Acer campestre L. is a rarely silviculturally managed and poorly investigated European tree species which forms seminatural populations and can thus be considered as a model tree for studying post glacial colonisation and phylogeography. Herein, we studied the genetic structure of Acer campestre L. in order to investigate population and genetic diversity clines over the distribution range and for

Medicinpedagogisk forskning krävs för utveckling av läkarutbildningen

To secure high-quality education for healthcare professionals, the teaching and learning processes-the "how" in education-should be informed by a research base. Although Swedish medical education research is growing, it lacks a national strategy. This study analysed and compared Swedish and Dutch production of medical education articles over ten years in nine core journals, including the number of

Political Veganism? Strategies for Social Change in Times of Environmental Emergencies

This presentation discusses ways in which veganism can be conceptualized as political participation. What are the political aspects of the increasingly popular practice, which by some is understood as a personal dietary choice, by others a conscious lifestyle, and by still others a part of a broader emancipatory project of multispecies justice? The presentation argues that the rising vegan movemen

Theoretical & Practical Investigation of Algorithmic Trading

This Master’s Thesis was written in collaboration with Handelsbanken Asset Man- agement in Stockholm, through the Faculty of Engineering at Lund University. This paper aims to investigate algoritmic trading on the financial market from a theo- retical and a practical perspective. The theoretical section presents an approach of using sentiment analysis for predicting asset price movements. The algo