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This study presents a novel approach using Gaussian process model predictive control (MPC) to stabilize the output voltage of a polymer electrolyte fuel cell (PEFC) by regulating hydrogen and airflow rates. Two Gaussian process models capture PEFC dynamics, accounting for constraints like hydrogen pressure and input change rates to reduce predictive control errors. The performance of the physical

Satellite remote sensing offers global-scale soil moisture (SM) estimation to assess water and energy cycles. However, the coarse resolution of SM products from microwave remote sensing is unsuitable for fine-scale analysis. This study explored spatial downscaling methods to refine the 0.25° ESA CCI SM product to a 1-km resolution, utilizing optical and thermal remote sensing data, including the n

The widespread adoption of lithium-ion batteries (LIBs) across energy storage systems, electric vehicles, and consumer electronics is accelerating, yet the safety challenges associated with thermal runaway (TR) events remain incompletely understood. This report presents a structured review of current knowledge regarding flammable and toxic gas emissions from LIBs during TR, the consequences for fiThe widespread adoption of lithium-ion batteries (LIBs) across energy storage systems, electric vehicles, and consumer electronics is accelerating, yet the safety challenges associated with thermal runaway (TR) events remain incompletely understood. This report presents a structured review of current knowledge regarding flammable and toxic gas emissions from LIBs during TR, the consequences for fi

An optimal control problem on finite-dimensional positive cones is stated. Under a critical assumption on the cone, the corresponding Bellman equation is satisfied by a linear function, which can be computed by convex optimization. A separate theorem relates the assumption on the cone to the existence of minimal elements in certain subsets of the dual cone. Three special cases are derived as examp

Cybersecurity has in recent years emerged as a paramount concern in the design and operation of industrial systems and civil infrastructures, due mainly to their susceptibility to malicious cyber attacks which take advantage of the vulnerability of communication networks and IT devices. In this paper, we investigate such an attack and counter attack scenario by considering multiagent systems, a so

Integration of high-quality oxides on III-V materials allows for versatile design of electronic devices, suitable for RF and power applications. We here present an overview of our results of planar and non-planar III-V MOSFETs for RF electronics, highlighting possibilities and challenges.

A group of young scholars revisit the aims, nature, and purpose of New DiplomaticHistory.

On-chip light broadcasting can reduce spatial footprint and enhance energy efficiency in photonic neuromorphic systems. We demonstrate on-chip light transmission between InP nanowire photodiodes on silicon, addressing the gap towards complete nanoscale photonic integrated circuits.

Maladaptive daydreaming is a distinct syndrome in which themain symptom is excessive vivid fantasising that causesclinically significant distress and functional impairment inacademic, vocational and social domains. Unlike normaldaydreaming, maladaptive daydreaming is persistent, compulsiveand detrimental to one’s life. It involves detachmentfrom reality in favour of intense emotional engagement wi

Background: In the Malmö Breast Tomosynthesis Screening Trial (MBTST), digital breast tomosynthesis (DBT) increased the detection rate of breast cancer compared to currently used digital mammography (DM). This study evaluated the cost effectiveness of DBT versus DM in Sweden using data from MBTST. Materials and method: A health economic model was used to compare a breast cancer screening programme

Despite a growing body of research on the role of the Sustainable Development Goals (SDGs) at the local level, knowledge on how they are taken up in local governance processes remains limited. This article contributes to knowledge on SDG implementation by examining how the SDGs can contribute to governance change at the local level. We develop a process-oriented analytical framework that examines

The United Nations (UN) put out a questionnaire and request for public comment on a proposal to form an Independent International Scientific Panel on ArtificialIntelligence (AI), as well as a Global Dialogue on AI in the context of the Global Digital Compact. The questionnaire was sent out in late 2024, and the following brief report forms the response submitted by the AI Policy Lab at Umeå Univer

This article examines the expanding role of Artificial Intelligence (AI) in healthcare and associated human rights concerns, including whether new EU legislation takes all relevant human rights concerns into account. AI presents promising ways to fulfil the right to health through improving diagnostics, treatments, and resource allocation, but its use also comes with risks concerning privacy, bias