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A data-based comparison of methods for reducing the peak flow rate in a district heating system

This work concerns reduction of the peak flow rate of a district heating grid,a key system property which is bounded by pipe dimensions and pumpingcapacity. The peak flow rate constrains the number of additional consumersthat can be connected, and may be a limiting factor in reducing supplytemperatures when transitioning to the 4th generation of district heating.We evaluate a full year of operatio

How the Brain Constructs and Maintains Coherent Episodic Memories through Eye Movements

The process of constructing, maintaining, and reconstructing episodic memories is closely linked to the temporal dynamics of visual exploration through sequences of eye movements (Johansson et al., 2022; Nikolaev et al., 2023). However, the neural mechanisms that mediate relational memory across eye movements are not yet fully understood. This study presented participants with a series of visuospa

Conflict simulation for shared autonomy in autonomous driving

We present a tool for modeling conflict situations that enables simulation and testing of situation awareness in shared autonomy, in this case in an autonomous driving scenario. The flexibility of the tool allows definition of new conflict situations, integration with various control and conflict detection systems, as well as customization of Takeover Request (TOR) signals and different means of c

Performance of standardized cancer patient pathways in Sweden visualized using observational data and a state-transition model

Standardized Cancer Patient Pathways (CPPs) were introduced in Swedish healthcare starting in 2015 to improve diagnostics for patients with symptoms of cancer, patient satisfaction and equity of care between healthcare providers. An inclusion target and a time target were set. Our primary aim was to visualize the patient population going through CPPs, in terms of investigation time and indications

Frequency-dependent community dynamics driven by sexual interactions

Research in community ecology has tended to focus on trophic interactions (e.g., predation, resource competition) as driving forces of community dynamics, and sexual interactions have often been overlooked. Here we discuss how sexual interactions can affect community dynamics, especially focusing on frequency-dependent dynamics of horizontal communities (i.e., communities of competing species in a

An online learning analysis of minimax adaptive control

We present an online learning analysis of minimax adaptive control for the case where the uncertainty includes a finite set of linear dynamical systems. Precisely, for each system inside the uncertainty set, we define the model-based regret by comparing the state and input trajectories from the minimax adaptive controller against that of an optimal controller in hindsight that knows the true dynam

The genomics and evolution of inter-sexual mimicry and female-limited polymorphisms in damselflies

Sex-limited morphs can provide profound insights into the evolution and genomic architecture of complex phenotypes. Inter-sexual mimicry is one particular type of sex-limited polymorphism in which a novel morph resembles the opposite sex. While inter-sexual mimics are known in both sexes and a diverse range of animals, their evolutionary origin is poorly understood. Here, we investigated the genom

Cumulative live birth rate after IVF : Trend over time and the impact of blastocyst culture and vitrification

STUDY QUESTION: Has cumulative live birth rate (CLBR) improved over time and which factors are associated with such an improvement? SUMMARY ANSWER: During an 11-year period, 2007-2017, CLBR per oocyte aspiration increased significantly, from 27.0% to 36.3%, in parallel with an increase in blastocyst transfer and cryopreservation by vitrification. WHAT IS KNOWN ALREADY: While it has been shown that

AI Act high-risk requirements readiness : industrial perspectives and case company insights

The AI Act’s (AIA) requirements for high-risk AI systems affect many aspects of modern software systems. Knowing which AIA-related technical challenges are relevant to different companies is essential to focus compliance-oriented research on the aspects that matter. We therefore conducted an interview study in collaboration with a case company that specializes in network video solutions within the

A Cone-preserving Solution to a Nonsymmetric Riccati Equation

In this paper, we provide the following simple equivalent condition for a nonsymmetric Algebraic Riccati Equation to admit a stabilizing cone-preserving solution: an associated coefficient matrix must be stable. The result holds under the assumption that said matrix be cross-positive on a proper cone, and it both extends and completes a corresponding sufficient condition for nonnegative matrices i

High-Density Standard Cell Library for Sequential 3D Integrated Circuits

Research efforts to push the integration density of circuits with technologies that transcend Moore's law have gained significant attention in recent years. This study investigates the silicon area gains of Sequential 3D technology, utilizing the third dimension of integrated circuits by accommodating nMOS and pMOS transistors in two stacked tiers with high-density and low-pitch 3D vias. The effic

Uncertainty quantification metrics for deep regression

When deploying deep neural networks on robots or other physical systems, the learned model should reliably quantify predictive uncertainty. A reliable uncertainty allows downstream modules to reason about the safety of its actions. In this work, we address metrics for uncertainty quantification. Specifically, we focus on regression tasks, and investigate Area Under Sparsification Error (AUSE), Cal

The risk of drug-induced liver injury associated with flucloxacillin : a nationwide, entropy-balanced cohort study

Objectives: In this nationwide cohort study in a Scandinavian setting, we aimed to investigate the magnitude of association between flucloxacillin use and drug-induced liver injury (DILI). Methods: Nationwide cohort study among adults in Sweden, 2006–2018, was conducted. Register data on filled prescriptions, patient characteristics, co-medications, and DILI were linked. All filled prescriptions f

Hierarchical event segmentation of episodic memory in virtual reality

Contextual shifts are crucial for episodic memory, setting event boundaries during event segmentation. While lab research provides insights, it often lacks the complexity of real-world experiences. We addressed this gap by examining perceptual and conceptual boundaries using virtual reality (VR). Participants acted as salespeople, interacting with customers in a VR environment. Spatial boundaries

CyberROAD : a cybersecurity risk assessment ontology for automotive domain aligned with ISO/SAE 21434:2021

The automotive domain is becoming increasingly complex through the integration of new technologies. As a result, cybersecurity is recognized as a pressing issue. This study focuses on the ISO/SAE 21434:2021 standard for road vehicles cybersecurity engineering, evaluating the effectiveness of the standard’s risk assessment approach. The standard suggests a set of assessment steps, and previous rese

Atmospheric new particle formation identifier using longitudinal global particle number size distribution data

Atmospheric new particle formation (NPF) is a naturally occurring phenomenon, during which high concentrations of sub-10 nm particles are created through gas to particle conversion. The NPF is observed in multiple environments around the world. Although it has observable influence onto annual total and ultrafine particle number concentrations (PNC and UFP, respectively), only limited epidemiologic

Language exposure and use in study abroad versus migration contexts: Modelling activity and learner profiles with ESM data

Language exposure and use (LEU) are widely viewed as key factors in multilingual development, and research highlights the importance of considering not just the frequency and quantity of LEU, but also contextual factors such as when and where a language is used, with whom and why. In this study, we illustrate the complexity of LEU in two contexts (study abroad and migration) by applying sequential

Duality-based Dynamical Optimal Transport of Discrete Time Systems

We study dynamical optimal transport of discrete time systems (dDOT) with Lagrangian cost. The problem is approached by combining optimal control and Kantorovich duality theory. Based on the derived solution, a first order splitting algorithm is proposed for numerical implementation. While solving partial differential equations is often required in the continuous time case, a salient feature of ou