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Reliable building performance management involves reducing energy use and peak demand while maintaining indoor comfort and operational safety. Achieving these objectives requires effective strategies across the building life cycle, from early-stage design to operation. However, the availability, quality, and structure of building data vary considerably between life cycle stages. Buildings in opera

This study introduces a reinforcement-learning-based sequential sampling framework for adaptive control charts. Traditional adaptive charts improve monitoring efficiency by adjusting sampling effort according to the current chart state, but they require manually specified decision regions and region-to-action assignments. This becomes difficult when many sample-size and sampling-interval combinati

We develop a continuous-time framework in which the risk associated with leverage is parameterized by a dimensionless drawdown-risk index relative to an arbitrary reference asset. We further show that the growth-optimal Kelly portfolio is the unique portfolio whose relative drawdown-risk index is invariant to the reference asset. Additionally, we characterize when portfolios have equal relative dr

European forests have historically served as a major carbon sink and are a crucial part of the LULUCF sector for net-zero planning in many countries. However, national greenhouse gas inventories report that forest sink capacity has declined by one-third over the past decade. This decline has been attributed to be due to multiple interacting factors: climate conditions that now constrain rather th

Ovarian cancer remains a major clinical challenge due to its pronounced heterogeneity and the high incidence of chemoresistance and metastatic dissemination. Despite advances in molecular profiling, the functional mechanisms driving these processes remain incompletely understood, limiting the development of effective targeted therapies. Addressing this gap requires approaches that capture the dyna

ULF – Utbildning, Lärande och Forskning – är ett nationellt initiativ som syftar till att stärka skolans vetenskapliga grund genom långsiktig samverkan mellan lärosäten och skolhuvudmän. Målet är att utveckla hållbara strukturer för praktiknära forskning som utgår från skolans behov och samtidigt stärker lärarutbildningens forskningsanknytning och professionens kunskapsutveckling.Under försöksperi

Electrophysiological approaches are widely used to characterize insecticide target sites, whereas behavioral symptoms associated with different modes of action remain less quantitatively explored. Here, we developed a computer vision–based framework to quantify insecticide-induced behavioral responses in the cotton aphid, Aphis gossypii Glover (Hemiptera: Aphididae). Convolutional neural networks

This study investigates how physical alterations of paths, including changes in surfacing and lighting conditions, impact the behaviour of pedestrians and cyclists. Using drone-based imaging technologies, data were collected from shared-use paths in two Swedish cities during periods of reduced daylight hours. The study focused on speed and slalom, examining how these measures varied across differe

Purpose: To longitudinally assess fatigue, physical and daily activity, and work ability 7 years post therapy in a radiotherapy-treated cohort, and to compare the long-term data with matched non-cancer referents from the general population. Methods: A questionnaire assessed fatigue, concurrent symptoms, and physical and daily activity including work ability during radiotherapy and at a 7-year foll

This paper presents a control/scheduling co-design framework that integrates 5G Configured Grant (CG) scheduling with networked control systems (NCS) design. The objective is to minimize the hyperperiod induced by multiple, application-specific sampling periods, which determines the schedule table size and memory footprint at the base station, subject to control quality and wireless resource limit

Introduction: Opioid maintenance treatment is the dominant treatment for treating opioid dependence. The treatment is individualised and combines pharmaceuticals with psychosocial support. Aim: This study aimed to increase the understanding of the pathway to recovery, by illustrating the life course of patients within OMT before and after starting treatment using time-geographic life charts. Metho

Objective: Children born extremely preterm (EPT) vary greatly regarding academic outcomes, underscoring the need to investigate subgroups in large representative samples. This study aimed to (1) examine academic outcomes in EPT children versus full-term controls and (2) examine the role of maternal education, child sex, maternal origin, cognitive ability and the presence of attention deficit hyper

ObjectiveFoetal-neonatal alloimmune thrombocytopaenia (FNAIT) is a rare disease, most commonly caused by maternal alloantibodies to human platelet antigen (HPA)-1a that can result in severe bleeding. The present study was designed to determine the frequency of higher risk for HPA-1a alloimmunisation and development of FNAIT among a racially and ethnically diverse cohort of pregnant women.DesignLon

Purpose: To explore how the Every Day Throughout Life (EDTL) model supports primary care transformation by enabling residents, families, staff, and volunteers to navigate socialparticipation, joy, and engagement in nursing homes, thereby enhancing wellbeing and quality oflife.Context: Norwegian nursing homes are integral to municipal primary care systems, providinground-the-clock services for peop