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Restidsvariation för busstrafiken skapar osäkerhet för både passagerare och operatörer. För resenärer minskar möjligheten att förutse restid och ankomsttid vilket försvårar beslut kopplad till val av avgångstid eller möjligheten till effektiva byten. Operatörerna drabbas av minskad tidtabellstillförlitlighet och ökade kostnader på grund av större marginaler i tidtabellen. Tidigare forskning visar Travel time variability in bus traffic creates uncertainty for both passengers and operators. For passengers, unpredictable travel times complicate trip planning and transfers, while operators face reduced timetable reliability and increased costs from larger schedule buffers. Previous research shows that passengers value reductions in travel time variation more highly than reductions in average t

Blue carbon, defined as carbon fixed by marine plants, has gained attention as a climate change mitigation strategy. Coastal ecosystems play an important role in blue carbon storage due to their high carbon burial rates. Although the dynamics of the partial pressure of CO2 in seawater (pCO2) are closely related to blue carbon processes, studies investigating pCO2 variability in coastal areas remai

This article explores how the humanities were imagined by UNESCO to contribute to their quest for improved international relations and worldwide peace. It analyses the negotiations on what role the humanities could play in diplomatic work by looking at the process that led to the founding of the International Council for Philosophy and Humanistic Studies (ICPHS/CIPSH) in 1949. Despite being ingraiThis article explores how the humanities were imagined by UNESCO to contribute to their quest for improved international relations and worldwide peace. It analyses the negotiations on what role the humanities could play in diplomatic work by looking at the process that led to the founding of the International Council for Philosophy and Humanistic Studies (ICPHS/CIPSH) in 1949. Despite being ingrai

AIMS: A history of preeclampsia is associated with at least a twofold increased risk of coronary artery disease (CAD), with unclear underlying mechanisms. This study aimed to investigate coronary plaque characteristics in women with a history of preeclampsia compared to women from the general population.METHODS: In this cross-sectional study, women with a history of preeclampsia from the Cardiovas

Protein–protein interactions (PPIs) are central to cellular processes and host-pathogen dynamics across all domains of life, yet comprehensive interactome mapping remains challenging at the proteome scale. Experimental approaches provide only partial coverage, while existing computational methods often lack generalizability across species or are too resource-intensive for large-scale screening. He

Genetics as a science has roots in studying phenotypes of relatives, but molecular approaches facilitate direct measurements of genomic variation between individuals. Agricultural and human biomedical research are both emphasizing genotype-based instruments, such as polygenic scores, but unlike in agriculture, there is an emerging consensus that family variables act nearly independently of genotyp

The high neutron flux of the European Spallation Source in Lund, Sweden, opens new possibilities for neutron protein crystallography. Making full use of these gains requires dedicated instrumentation and support facilities to maximize its contribution to our understanding of biological processes at the molecular level.

Ancient DNA has revolutionized the study of extinct and extant organisms that lived up to 2 million years ago, enabling the reconstruction of genomes from multiple extinct species, as well as the ecosystems where they once thrived. However, current DNA sequencing techniques alone cannot directly provide insights into tissue identity, gene expression dynamics, or transcriptional regulation, as thes

RATIONALE: Very preterm infants (i.e. born before 32 weeks of gestation) are at risk of cerebral injury and long-term neurodevelopmental impairment. Cerebral near-infrared spectroscopy (NIRS) enables continuous monitoring of cerebral oxygenation to guide clinical management. Interest in NIRS has grown in recent years, highlighting the need for better evidence to support its clinical efficacy in im

Temporal information in episodic memory reflects how experiences are encoded rather than objective elapsed time, giving rise to systematic distortions. These are particularly evident in emotional contexts, consistent with emotion-related biases in attention. The present study investigated whether emotion-driven distortions in remembered temporal distance were explained by encoding-related attentio

Background: Glomerular filtration rate (GFR) is a key indicator of kidney function, typically estimated using creatinine or cystatin C. When cystatin-C-based eGFR is markedly lower than creatinine-based eGFR, this discrepancy may reflect a selective impairment in the filtration of medium-sized molecules, referred to as Shrunken Pore Syndrome (SPS), or more broadly, Selective Glomerular Hypofiltrat

Coronary artery disease is one of the leading causes of mortality worldwide. While early identification and treatment of major cardiovascular risk factors are crucial, recent data suggest the possibility of non-invasively detecting early stages of coronary atherosclerosis and potentially stabilizing or even reversing the burden of atherosclerosis with innovative and existing treatments. Moreover,

The testing and safety cases of assisted and automated driving (AAD) functions require considerations for nonideal environmental conditions, such as adverse and extreme weather. In these extreme conditions, perception sensors (e.g., camera, LiDAR, and RADAR), which build the situational awareness of the vehicle, might produce noisy and degraded data. Therefore, it is key to consider: 1) how to rel

The compression of deep learning models is of fundamental importance in deploying such models to edge devices. The selection of compression parameters can be automated to meet changes in the hardware platform and application. This article introduces a Multi-Objective Hardware-Aware Quantization (MOHAQ) method, which considers hardware performance and inference error as objectives for mixed-precisi

Smart cities and communities (SCC) constitute a new paradigm in urban development. SCC ideate a data-centered society aimed at improving efficiency by automating and optimizing activities and utilities. Information and communication technology along with Internet of Things enables data collection and with the help of artificial intelligence (AI) situation awareness can be obtained to feed the SCC

Recognition of human manipulation actions together with the analysis and execution by a robot is an important issue. Also, perception of spatial relationships between objects is central to understanding the meaning of manipulation actions. Here we would like to merge these two notions and analyze manipulation actions using symbolic spatial relations between objects in the scene. Specifically, we d

This thesis investigates particle sorting in deterministic lateral displacement (DLD) microfluidic devices, with a focus on how particle size and shape influence sorting behavior. A broad range of synthetic and biological particles were studied, including polystyrene particles, fabricated silicon-based structures, and bacterial samples with diverse physical properties.While DLD has traditionally b

We present a novel deep neural network architecture for representing robot experiences in an episodic-like memory that facilitates encoding, recalling, and predicting action experiences. Our proposed unsupervised deep episodic memory model as follows: First, encodes observed actions in a latent vector space and, based on this latent encoding, second, infers most similar episodes previously experie