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A comparative study of the EAT-Lancet diet and the Mediterranean diet in relation to neuroimaging biomarkers and cognitive performance

BACKGROUND: The impact of the sustainable EAT-Lancet planetary health diet on brain and cognitive health remains unclear. This study compared the impact of the EAT-Lancet diet with the well-established cognitive-beneficial Mediterranean diet (MeDi) in relation to neuroimaging biomarkers and cognitive performance among older adults.METHODS: The study included 615 dementia-free 70-year-olds from the

Support, not automation : towards AI-supported code review for code quality and beyond

Code review is a well-established and valuable software development practice associated with code quality, interpersonal, and team benefits. However, it is also time-consuming, with developers spending 10–20% of their working time doing code reviews. With recent advances in AI capabilities, there are more and more initiatives aimed at fully automating code reviews to save time and streamline softw

Collagen VII is associated with airway remodeling, honeycombing and fibroblast foci in UIP/IPF

Collagen VII is an essential anchoring protein in the basement membrane zone, maintaining the attachment of stratified and pseudostratified epithelia to the underlying interstitial matrix. However, collagen VII is largely unexplored in normal lungs and idiopathic pulmonary fibrosis (IPF), a disease characterized by excessive accumulation of extracellular matrix (ECM) and aberrant re-epithelializat

XeroGraph: enhancing data integrity in the presence of missing values with statistical and predictive analysis

MOTIVATION: Missing data present a pervasive challenge in data analysis, potentially biasing outcomes and undermining conclusions if not addressed properly. Missing data are commonly classified into Missing Completely at Random (MCAR), Missing at Random (MAR), and Missing Not at Random (MNAR). While MCAR poses a minimal risk of data distortion, both MAR and MNAR can seriously affect the results of

Advancing time-resolved structural biology: latest strategies in cryo-EM and X-ray crystallography

Structural biology offers a window into the functionality of molecular machines in health and disease. A fundamental challenge lies in capturing both the high-resolution structural details and dynamic changes that are essential for function. The high-resolution methods of X-ray crystallography and electron cryo-microscopy (cryo-EM) are mainly used to study ensembles of static conformations but can

Swedish Version of the System Usability Scale : Translation, Adaption, and Psychometric Evaluation

Background: The Swedish health care system is undergoing a transformation. eHealth technologies are increasingly being used. The System Usability Scale is a widely used tool, offering a standardized and reliable measure for assessing the usability of digital health solutions. However, despite the existence of several translations of the System Usability Scale into Swedish, none have undergone psyc

Parent-teacher trust as a relational pathway to the child: Teachers’ perceptions about child-teacher-parent relationship-building during the child’s transition to preschool

Beyond interactions with parents, young children’s development is influenced by attachment-related interactions with close caregivers in different contexts, such as with teachers at professional childcare centres (“preschool”). The child’s transition from the home environment to being cared for at preschool for the very first time is essential in this respect, providing a natural “window of opport

The Transition to Electric Buses in Public Transport : Lessons learned from Sweden, Norway, and the Netherlands

In recent years, the electrification of buses in public transport systems has increased in both scale and pace. Today, there are several examples of how this transition has been handled in public transport, with partly or fully electrified bus fleets in regular operations in many cities.The research project e(+)bus has focused on how the transition to electric buses has been handled in six Swedish

Designing compliant self-locking structures using topology optimization

This work presents a framework for designing self-locking 3D compliant structures using elasto-plastic topology optimization. Design updates are generated using the gradient-based method of moving asymptotes, while the material behavior is modeled under small strain elasto-plasticity. To accurately capture the Bauschinger effect that occur during reversed loading, kinematic hardening is a crucial

International science as national project: lessons from South Korea for the future of international research collaboration

Debate over the future of international science takes place in light of two trends that are frequently interpreted as standing in tension with each other. The longer-term pattern shows that science is increasingly an international endeavour, as collaboration across borders has grown. A more recent apparent re-nationalisation of science, however, raises questions over the march of international sci

A Novel Approach to Aquifer Classification Using Hysteresis Loop Analysis and Deep Learning for Sustainable Groundwater Management

Aquifer classification plays a pivotal role in understanding groundwater dynamics and informing sustainable water resource management, especially in regions under significant stress from over-extraction. This study presents a novel remote sensing-based methodology for classifying aquifers represented by monitoring wells within the study area. The approach integrates stress-strain analysis, incorpo

A unified framework for real-time failure handling in robotics using vision-language models, reactive planner and behavior trees

Robotic systems often face execution failures due to unexpected obstacles, sensor errors, or environmental changes. Traditional failure recovery methods rely on predefined strategies or human intervention, making them less adaptable. This paper presents a unified failure recovery framework that combines Vision-Language Models (VLMs), a reactive planner, and Behavior Trees (BTs) to enable real-time

The ecology and evolution of multicellularity in green algae

The evolution of multicellularity is one of the major evolutionary transitions that has shaped the diversity of life on Earth. Multicellular organisms have arisen numerous times across the tree of life, but explaining why some lineages are multicellular while others are unicellular remains puzzling. In my thesis, we tested how the ecological variables may differentially favour multicellular and un

Improving future agricultural sustainability by optimizing crop distributions in China

Improving agricultural sustainability is a global challenge, particularly for China's high-input and low-efficiency cropping systems with environmental tradeoffs. Although national strategies have been implemented to achieve Sustainable Development Goals in agriculture, the potential contributions of crop switching as a promising solution under varying future climate change are still under-explore