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Ring width (TRW) chronologies from Siberian (Pinus sibirica) and Scots (Pinus sylvestris) pine trees were sampled at Mukhrino - a large mire complex in central-western Siberia - to evaluate the impacts of hydroclimatic variability on tree growth over the last three centuries. For this purpose, we compared climate-growth correlation profiles from trees growing on peat soils with those growing on ad

Abstract: This review examines the current status of knowledge of sepsis and pneumonia in the elderly population and how the dynamics of the pulmonary challenge affects outcome and consequences. Led by an unprecedented shift in demographics, where a larger proportion of the population will reach an older age, clinical and experimental research shows that aging is associated with certain pulmonary This review examines the current status of knowledge of sepsis and pneumonia in the elderly population and how the dynamics of the pulmonary challenge affects outcome and consequences. Led by an unprecedented shift in demographics, where a larger proportion of the population will reach an older age, clinical and experimental research shows that aging is associated with certain pulmonary changes, b

Aims: To compare growth variability of Scots pine (Pinus sylvestris L.) on different soil types, and to assess the potential of peat-soil pines for climatological and hydrological studies.Methods: We used extensive dendrochronological anal- yses to investigate temporal and spatial responses of pines growing on peat soils and mineral soils in three regions of Lithuania.Results: Significant correlatAimsTo compare growth variability of Scots pine (Pinus sylvestris L.) on different soil types, and to assess the potential of peat-soil pines for climatological and hydrological studies.MethodsWe used extensive dendrochronological analyses to investigate temporal and spatial responses of pines growing on peat soils and mineral soils in three regions of Lithuania.ResultsSignificant correlations wer

10 juni 2026 12:00 till 17:00 | Seminarium The adoption of Artificial Intelligence (AI) and Machine Learning (ML) presents several challenges, among which the lack of trust in the decisions made by such systems remains a major concern. Formal methods have historically provided the foundation for rigorously verifying software systems, and they could play a key role in fostering trust in AI/ML techn

https://www.lu.se/evenemang/machine-learning-and-formal-methods - 2026-06-04

Despite long‐standing interest in the evolutionary role of plant hormones, relatively few studies have used hormonally manipulated phenotypes to address questions about phenotypic evolution in plants. In the present investigation, I subjected plants of Crepis tectorum subsp. pumila to simple gibberellin (GA) treatments under both field and greenhouse conditions to assess developmental lability andDespite long‐standing interest in the evolutionary role of plant hormones, relatively few studies have used hormonally manipulated phenotypes to address questions about phenotypic evolution in plants. In the present investigation, I subjected plants of Crepis tectorum subsp. pumila to simple gibberellin (GA) treatments under both field and greenhouse conditions to assess developmental lability and

Starting from the premise that English negative modal contractions constitute partly variable patterns of associations that include both the preceding subject and the following verb infinitive, the study sets out to investigate distributional differences between can’t, shouldn’t, and won’t and their corresponding uncontracted parent forms. Given that some configurations are assumed to correlate wiStarting from the premise that English negative modal contractions constitute partly variable patterns of associations that include both the preceding subject and the following verb infinitive, the study sets out to investigate distributional differences between can’t, shouldn’t, and won’t and their corresponding uncontracted parent forms. Given that some configurations are assumed to correlate wi

Moving into a nursing home is a significant transition for older people which can be emotional and stressful. The literature on the decision to move and subsequent residential stress focuses on the time after admission; however, there is less understanding of older people’s management of the process. To fully understand and possibly reduce negative consequences and health-related risks, the aim ofMoving into a nursing home is a significant transition for older people which can be emotional and stressful. The literature on the decision to move and subsequent residential stress focuses on the time after admission; however, there is less understanding of older people’s management of the process. To fully understand and possibly reduce negative consequences and health-related risks, the aim of

22 april 2026 09:00 till 16:00 | Symposium Rethinking Mutations of Violence, Harm and Crime under Contemporary Market Logics Contemporary scholarship increasingly speaks of capitalism(s) rather than a singular capitalism. Platform economies, gig work, extractive markets, aestheticized consumer cultures, and criminalized market formations coexist and overlap, generating distinct configurations of p

https://www.lu.se/evenemang/new-capitalisms-violence - 2026-06-04

Gardeners have always used plants of different origins, moving them around to new environments, working hard to make the plants survive and thrive under new conditions. In gardens, vitality is often regarded as an asset and a reason to cultivate certain plants. Many varieties that have spread over centuries are today regarded as ‘belonging’, as more or less ‘natural’, and even as heritage plants.

This thesis covers three contributions in applications of neural networks. The first is related to diversity and ensemble learning, while the other two cover novel applications of the self-attention mechanism. An important aspect of training a neural network is the choice of objective function. Regression via Classification (RvC) is often used to tackle problems in deep learning where the target vThis thesis covers three contributions in applications of neural networks. The first is related to diversity and ensemble learning, while the other two cover novel applications of the self-attention mechanism. An important aspect of training a neural network is the choice of objective function. Regression via Classification (RvC) is often used to tackle problems in deep learning where the target v