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Electric power is the foundation of modern society, yet Europe is currently facing an energy crisis, increasing interest in power generation, energy infrastructure, and grid resilience. However, power plant data are complex and multidimensional, making it difficult to gain an overview or understanding. Visualization methods can help to reduce cognitive load and facilitate exploration of such data.
Non-invasive methods for measuring thermal tolerance and thermoregulation in large numbers of individuals under natural environmental conditions are useful to understand the capacity of species to adapt to future climate scenarios. Infrared thermography (IRT) is one such tool in research on thermal adaptation, but concerns have been raised about its reliability, specifically the correlation betwee
Ferroelectricity in Hf0.5Zr0.5O2 (HZO) originates from a polymorphic landscape where the metastable orthorhombic phase competes with monoclinic and tetragonal forms, making functional properties highly sensitive to structural instability. Recent strategies have exploited ionic-vacancy mechanisms, either through redox interactions with the environment or by employing ferroionic heterostructures, to
The PRIMARY score was implemented in Prostate Cancer Molecular Imaging Standardized Evaluation (PROMISE) version 2 to improve accuracy for the diagnosis of clinically significant prostate cancer using prostate-specific membrane antigen (PSMA) positron emission tomography (PET). We reviewed overall survival (OS) for patients who underwent PSMA PET for initial staging to evaluate the prognostic valu
AIMS: The COVID-19 pandemic had substantial impacts on mortality and morbidity, even after the rollout of vaccinations. These impacts however, varied considerably across regions. We examined regional disparities in COVID-19 mortality and hospitalizations among older people in Sweden from January 2021 to August 2023 and assessed the role of vaccination coverage in shaping these disparities.METHODS:
We consider the problem of reconstructing the sound field in a room using prior information of the boundary geometry, represented as a point cloud. In general, when no boundary information is available, an accurate sound field reconstruction over a large spatial region and at high frequencies requires numerous microphone measurements. On the other hand, if all geometrical and acoustical aspects of
Deception jamming is a powerful technique used to disrupt various radar systems. In this work, we propose a novel sensor selection scheme for FDA-MIMO radar systems designed to maximize the likelihood of accurate jammer identification. The approach exploits the inherent delay between a jammer measuring incoming waveforms and its response. This delay induces a slight shift in the perceived distance
Many forms of small-size radars suffer from minor clock oscillations due to crystalline impurities in their internal clocks, causing time-varying clock offsets between the transmitter and the receivers. This offset causes a bias and an increased variance in the positioning of close-range targets, limiting the achievable accuracy well beyond the expected estimation limitations. Furthermore, an appr
The expansive carbon reservoirs of the boreal region are becoming some of the most rapidly growing sources of greenhouse gasses under a positive feedback between intensifying fire activity and climate change. However, current regional-scale methods lack the spatial precision needed to improve understanding of the drivers of these fluxes to inform strategies aimed at maximizing landscape carbon sto
ObjectiveDopaminergic medications are commonly prescribed for Parkinson's disease (PD), restless legs syndrome, pituitary and psychotic disorders. Accumulating evidence indicates that dopaminergic treatment triggers impulsive-compulsive behaviors (ICBs), yet systematic synthesis of clinical evidence remains limited.MethodThis scoping review summarizes original research directly clinically relevant
Här är webbversionen av vår strategiska plan. Behöver du vår strategiska plan i pdf-format kan du ladda ner den från Kemiska institutionens dokumentbibliotek i Canvas. Strategisk plan - Kemiska institutionens dokumentbibliotek i Canvas (inloggning med Lucat-ID) Innehåll på sidan: Inledning Vision Verksamhet Infrastrukturer Arbetsmiljö och lika villkor Lokaler Rekrytering Organisation Inledning F
https://www.kilu.lu.se/internt/organisation-och-styrning/strategisk-plan-kemiska-institutionen - 2026-11-07
https://www.lthin.lth.se/forska/o-forskarstod - 2026-11-07
Här får du information om skyddsombud, huvudskyddsombud och skyddskommittéer samt vilka uppgifter dessa har. Här kan du även läsa om hur ett skyddsombudsval går till. Hösten 2026 är det dags för skyddsombudsval! Kanske vill du göra en insats för arbetsmiljön eller nominera en kollega till att bli skyddsombud? Läs mer om vad det innebär att vara skyddsombud och göra skillnad för vår arbetsmiljö Lä
https://www.medarbetarwebben.lu.se/anstallning/arbetsmiljo-och-halsa/skyddsombud-och-skyddskommitteer - 2026-11-08
Independent estimation and verification of fossil CO2 emissions on a regional and national scale are crucial for evaluating the fossil CO2 emissions and reductions reported by countries as part of their nationally determined contributions (NDCs). Top-down methods, such as the assimilation of in situ and satellite observations of different tracers (e.g., CO2, CO, Δ14CO2, XCO2), have been increasing
The sparse identification of nonlinear dynamics (SINDy) algorithm enables us to discover nonlinear dynamical systems purely from data but is noise-sensitive, especially in low-data scenarios. In this work, we introduce an advanced method that integrates group sparsity thresholds with Earth Mover's distance-based similarity measures in order to enhance the robustness of identifying nonlinear dynami
Out-of-distribution (OOD) detection is a crucial step in ensuring robustness and trustworthiness for deep learning (DL) models. This is particularly important for classification tasks in medical applications. Previous work has shown that point-of-care ultrasound (POCUS) imaging combined with a DL classification network could improve access to early breast cancer diagnosis. In this work, we investi
Multi-electron donation remains a challenge for CO2 photocatalytic conversion to multi-electron products due to the efficient Auger recombination or annihilation at multiple excitation conditions for conventional molecules or semiconductor photocatalysts. In this paper, we demonstrated possible multi-electron donation within a quantum dot (QD)/metal complex hybrid photocatalyst system when multipl
Vegetation demographic models (VDMs) are advanced tools for simulating forest responses to climate and land-use changes, and are essential for projecting carbon cycling and large-scale forest management strategies. Despite their increasing incorporation into Earth System Models, VDMs differ in their demographic assumptions, with no prior quantitative comparison of their performance. We benchmarked
Multiple cropping, the simultaneous cultivation of several crops in space or time, is a global practice essential for intensifying and diversifying agriculture. Despite its substantial impact on environmental and socioeconomic outcomes of farming, multiple cropping is hardly accounted for in assessments of global food production, sustainability, and climate impacts. Such studies, often relying on
