Sökresultat

Motivation Machine learning offers a powerful approach for building predictive models from high-dimensional molecular data. Omics technologies such as transcriptomics, proteomics, and metabolomics quantify thousands of molecules simultaneously, providing deep insights into disease biology. Integrating multiple modalities can enhance predictive performance, as shown in histology-omics and holter-om

Introduction: Using time-limited trials of low-dose, sustained-release morphine to reduce chronic breathlessness to evaluate net effects may generate opioid withdrawal symptoms if medication is ceased. This sub-study of a larger randomized, placebo-controlled, double-blind trial aimed to evaluate if this occurred. Methods: People with modified Medical Research Council breathlessness scores of 3 or

Antipsychotics are mainly used for severe psychiatric disorders. Risperidone is the only antipsychotic approved for younger children. Aripiprazole is approved for older children, ziprasidone and lurasidone for adolescents. To describe paediatric utilisation of antipsychotic drugs in Sweden. Dispensations of antipsychotic drugs to children aged 5–17 years from 2008 to 2021 were analysed using the N

Archaeology’s turn to digital documentation poses questions for the long-term preservation of archaeological data and their future re-use—questions that have relevance also for the debates about open science and data archivization in the natural and social sciences. In this paper, I investigate how the nexus of epistemology and digital materialities affect attempts to open up archaeological data f

In a recent paper, Fack et al. (2019, American Economic Review) convincingly argue and theoretically demonstrate that there may be strong incentives for students to play non-truth-telling strategies when reporting preferences over schools, even when the celebrated deferred acceptance algorithm is employed. Their statistical test also rejects the (weak) truth-telling assumption in favour of another

Strut-based structures, such as lattices, produced using additive manufacturing (AM) offer significant potential for applications requiring lightweighting and structural compliance. However, conventional Design for AM (DfAM) approaches often assume idealised material behaviour, which can be misleading for thin strut-based structures where geometric parameters and process-induced effects significan

Objective: Psychosocial stress increases the risk for subsequent episodes of alcohol use disorder (AUD) and drug use disorder (DUD), with most studies assessing stress exposure by questionnaire or interview methods. We developed an environmental risk score (ERS) using multiple classes of stressful life events (SLEs) obtained from national Swedish registries. Method: We assessed, in the entire adul

Energy security crises have historically been turning points for energy systems, exposing vulnerabilities, reshaping policy priorities, and boosting technological change. However, whether—and to what extent—such crises accelerate low-carbon transitions remains contested. This paper examines the effects of the 2022 energy crisis on the European Union (EU)’s energy transition, using policy analysis

Decoupling key intermediates’ adsorption via asymmetric 3d-5d-orbital hybridization overcomes the intrinsic scaling relation bottleneck, enabling rational design of high-performance, durable multifunctional electrocatalysts for anion exchange membrane water electrolyzers (AEMWEs) and Zn–air batteries (ZABs). Here, we reveal that asymmetric 3d-5d-orbital hybridization, engineered through the synerg

The transition toward sustainable energy systems has motivated extensive research into scalable routes for solar fuel generation. Silicon-based photoelectrodes are particularly promising due to their favorable optoelectronic properties, abundance, and compatibility with established microfabrication techniques. Nano-microstructuring silicon can enhance photoelectrochemical performance by improving

Railways play an important role in the energy transition by offering a low-carbon, energy-efficient means of transporting goods, people, and services. However, this role is increasingly at risk as extreme weather events associated with a changing climate grow in severity and frequency, compounded by uncertainties in future climate conditions.This thesis aims to advance the understanding of climate

The potential for information and communication technology (ICT) to support the delivery of social services, and the possible benefits afforded, have been acknowledged in numerous studies. The many obstacles to the adoption and integration of ICT into social services have also been documented. This paper provides a summary of those issues as the backdrop to the description of a study conducted to

This work investigates lightweight personalisation of micro-electro-mechanical systems (MEMS)-based wearables using a public padel database as a case study. We compare a centralised CNN model, single-user models and two fine-tuning schemes (full and last-layer) on wrist-worn IMU data from 23 players and 13 stroke classes. Personalised models with data augmentation achieve weighted F1-scores above

Moisture properties of three mortars and three concretes with W/B 0.40 and different degrees of slag replacement has been determined. Desorption isotherms. were determined on thin slices in climate boxes. Moisture transport coefficients were determined with the cup method on well cured mortar discs and with the tin-can method on concretes cured for six months.The desorption isotherms show an almos