Sökresultat

Background: L-DOPA-induced dyskinesia is attributed to opposite activity changes mediated by D1 and D2 dopamine receptors in the two striatal output pathways. Whereas the causal role of direct-pathway D1 receptors is well established, the specific involvement of indirect-pathway D2 receptors in dopaminergic dyskinesias has remained elusive. Objectives: We used conditional knockout approaches in mi

Objectives: – To quantify the risk of incident psychiatric morbidity after community-acquired sepsis and assess whether new chronic diseases mediate the association. Design: – Nationwide, population-based matched register cohort; hazards estimated with weighted Cox regression. Setting: – Sweden, linking the National Quality Sepsis Registry, National Patient Register, Prescribed Drug Register, and

Childhood cancer aetiology is poorly understood and is considered to originate in utero and early postnatal life. In this study, we investigated perinatal characteristics as potential risk factors by performing a population-based case-control study, including 1340 cancer cases diagnosed < 19y and born between 1989–2021 in southern Sweden, and 13400 controls matched by sex, year, and municipality o

Dopaminergic medication used in disorders like Parkinson's disease (PD) and restless legs syndrome can cause impulsive-compulsive behaviour (ICB), often with strong negative effects on patients' quality of life. This narrative review presents translational evidence on iatrogenic ICB, taking findings from epidemiological, clinical, neuroimaging and preclinical studies into consideration. Epidemiolo

Climate change accelerates the global hydrological cycle, which has escalating impacts on human health and the socioeconomic development. However, many existing Earth system models neglect the more complex processes of topography-driven vegetation–surface–groundwater interactions, thereby failing to accurately capture climate-hydrological responses. To address this gap, we integrate the three-dime

Through Arctic amplification, global climate change is projected to disproportionally affect high-latitude environments. Additionally, the geographical heterogeneity and complex terrain of mountains promote climate-driven ecological change on fine spatial scales. We used a high-resolution convection-permitting regional climate model (HCLIM) and a state-of-the-art dynamic vegetation model (LPJ-GUES

Background: In addition to impairing the lung function, chronic obstructive pulmonary disease (COPD) also affects phonatory characteristics. Recent research highlights the potential of voice as a digital biomarker to support clinical decision-making. While machine learning (ML) can detect disease patterns from acoustic features, clinical relevance requires understanding the relationship between th

Essentially all academic research of today relies on analysis of data from a wide range of sources. Several underpinning, and rapidly developing, technologies are supporting the analysis of this data. Visualization serves as an interface to this ecosystem of tools and methods and integrates them into environments supporting scientific workflows, effectively sharing cognitive load between computers

Microsoft Word - layout2.doc CEQ-projektgruppen http://www.lth.se/utvarderingarkvalitet Lunds tekniska högskola 046-2227200 http://www.lth.se Vad är CEQ? - Ett nytt kursutvärderingssystem på LTH Från LP1 hösten 2003 införs ett nytt utvärderingssystem för alla obligatoriska kurser på civil- och brandingenjörsprogrammen Vad är det som händer? Ett nytt kursutvärderingssystem införs på LTH från och me

https://www.ceq.lth.se/info/dokument/filer/vadarceq.pdf - 2026-11-07

https://www.fysik.lu.se/cord-arnold - 2026-11-08

Unpigmented skin cancer is the most prevalent form of cancer, and it burdens healthcare substantially even if it is not as aggressive as the more well-known malignant melanoma. Dermatoscopy images are commonly used for diagnosis, but differentiating between the many sub-diagnoses is a hard task. In this study we focus on these unpigmented cancers, performing both detection of basal cell carcinoma

https://www.saco.se/globalassets/lokala-akademikerforeningar/kommun-och-region/akademikeralliansen/dokument/avtal-stadgar-pension/aff-76-laff-76.pdf - 2026-11-08

Boreal forests are globally important carbon (C) sinks, but strategies for maximising their climate benefit remain under debate. Major uncertainties in this discussion arise from contrasting sink-source estimates, which largely emanate from inherent limitations of standard measurement techniques to distinct spatio-temporal scales. Here, we use a spatially-nested measurement framework that integrat

This paper presents the foundations of a transrelational theory of moral agency, which extends the relational view with the idea that moral relationships include as well as transcend the descriptive criteria – e.g., in virtue of 1st person properties or 3rd person observables – of whatever makes someone a moral agent. The result is a holistic picture that captures the complex interrelationship bet

The recent rise in atmospheric methane (CH4) concentrations accelerates climate change and offsets mitigation efforts. Although wetlands are the largest natural CH4 source, estimates of global wetland CH4 emissions vary widely among approaches taken by bottom-up (BU) process-based biogeochemical models and top-down (TD) atmospheric inversion methods. Here, we integrate in situ measurements, multi-

In the literature, auditory attention is explored through neural speech tracking, primarily entailing modeling and analyzing electroencephalography (EEG) responses to natural speech via linear filtering. Our study takes a novel approach, introducing an enhanced coherence estimation technique to assess the strength of neural speech tracking. This enables effective discrimination between attended an

Time-frequency reassignment, commonly used to analyze time-varying signals, is a post-processing method that sharpens time-frequency representations. However, the reassignment method is sensitive to noise, making it unsuitable for time-frequency analysis when the signal-to-noise ratio is low. To increase the robustness of the reassignment technique, we develop a novel reassigned multitaper spectro

In this paper, we present a novel algorithmic and hardware co-design approach specifically tailored for efficient 2D convolution implementations, a crucial operation in convolutional neural networks (CNNs). Our method addresses the limitations of existing software-based solutions and hardware-based architectures, delivering significant improvements in asymptotic behavior for generic convolution ca

The processes responsible for methane (CH4) emissions from boreal wetlands are complex; hence, their model representation is complicated by a large number of parameters and parameter uncertainties. The arctic-enabled dynamic global vegetation model LPJ-GUESS (Lund-Potsdam-Jena General Ecosystem Simulator) is one such model that allows quantification and understanding of the natural wetland CH4 flu