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With climate change, the frequency in climate extremes such as drought, heavy rainfalls, and extreme temperatures is predicted to increase. These extremes can potentially stress and damage vegetation over large areas, leading to altered carbon cycle, vegetation greenness, albedo, and shifted species composition. This study focuses on two different types of extreme events; frost drought caused by w
Approximately 80% of agricultural land in the world is comprised of annual crops which have a life span of only one year. Research has shown that these crops are unsustainable because of these short life spans. Soil erosion, nutrient leaching, and losses of soil carbon are just a few problems caused by annual monocultures. Additionally, with the changing climate, these cropping methods are both vu
In an urbanizing world, challenged by climate change and rising temperatures, street vegetation can help mitigate urban temperatures. However, scaling the understanding of street vegetation’s cooling effects from local observations to the city level introduces challenges. While several studies have assessed the influence of street greenery on land surface temperature (LST) at the city scale using
Annual cropping systems dominate agricultural grain production, but have been linked to several key environmental issues, such as loss of biodiversity and pollution of groundwater. Newly developed perennial grains may offer solutions to some of those problems. Their longer roots and growing seasons theoretically enable them to act as sinks of atmospheric carbon. This study set out to compare soil-
This thesis explores the patterns of shared e-scooter usage in the cities of Oslo and Stockholm, with a focus on understanding how these trips relate to public transport services. While e-scooter usage has soared during the last decade, policy makers, urban and transportation planners attempt to understand this new phenomenon and its effect to public transport. Geographic Information Systems (GIS)
There is a market gap regarding diversity within plant-based beverages with a complete amino acid profile. For this reason, new ingredients that could be used for the formulation of two plant-based drinks were researched: one combining raw ingredients like seeds, and the other one using protein isolates. Once the final formulations were decided, the resulted drinks included a beverage made of quin
DB22en08_proof.pdf Kendra Vehik,1 David Boulware,1 Michael Killian,2 Marian Rewers,3 Richard McIndoe,4 Jorma Toppari,5 Åke Lernmark,6 Beena Akolkar,7 Anette-G Ziegler,8 Henry Rodriguez,9 Desmond A. Schatz,10 Jeffrey P. Krischer,1 and William Hagopian,2 for the TrialNet Study Group and TEDDY Study Group* Rising Hemoglobin A1c in the Nondiabetic Range Predicts Progression of Type 1 Diabetes As Well
https://www.teddy.lu.se/sites/teddy.lu.se/files/2023-04/146%20Vehik_Diab%20Care_2022_3.pdf - 2026-07-23
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https://www.teddy.lu.se/sites/teddy.lu.se/files/2025-07/175_MP173_ODonnell_Clin%20Diabetes_2025%20(1).pdf - 2026-07-23
An electrochemical method for the measurement of NAD(+) and NADH in normal and cancer tissues using flow injection analysis (FIA) is reported. Reticulated vitreous carbon (RVC) electrodes with entrapped L-lactate dehydrogenase (LDH) and a new redox polymer containing covalently bound toluidine blue O (TBO) were employed for this purpose. Both NAD(+) and NADH were estimated coulometrically based on
Varying processing conditions can strongly affect the microstructure of mayonnaise, opening up new applications for the creation of products tailored to meet different consumer preferences. The aim of the study was to evaluate the effect of emulsification intensity on sensory and instrumental characteristics of full-fat mayonnaise. Mayonnaise, based on a standard recipe, was processed at low and h
Despite a lot of research in the field, only very little experience exists with Teaching by Demonstration (TbD) in actual industrial use cases. In the factory of the future, it is necessary to rapidly reprogram flexible mobile manipulators to perform new tasks, when the need arises, for which a working system capable of TbD would be ideal. Contrary to current TbD approaches, that generally aim to Despite a lot of research in the field, only very little experience exists with Teaching by Demonstration (TbD) in actual industrial use cases. In the factory of the future, it is necessary to rapidly reprogram flexible mobile manipulators to perform new tasks, when the need arises, for which a working system capable of TbD would be ideal. Contrary to current TbD approaches, that generally aim to
During early literacy skills development, rhyming is an important indicator of the phonological precursors required forreading. To determine if neural signatures of rhyming are apparent in early childhood, we recorded event-relatedpotentials (ERPs) from 3- to 5-year-old, preliterate children (N = 62) in an auditory prime-target nonword rhymingparadigm (e.g., bly-gry, blane-vox). Overall, nonrhyminDuring early literacy skills development, rhyming is an important indicator of the phonological precursors required for reading. To determine if neural signatures of rhyming are apparent in early childhood, we recorded event-related potentials (ERPs) from 3- to 5-year-old, preliterate children (N = 62) in an auditory prime-target nonword rhyming paradigm (e.g., bly-gry, blane-vox). Overall, nonrhy
Drainage networks are the basis for segmentation of watersheds, an essential component in hydrological modelling, biogeochemical applications, and resource management plans. With the rapidly increasing availability of topographic information as digital elevation models (DEMs), there have been many studies on DEM-based drainage network extraction algorithms. Most of traditional drainage network ext
Inflation targeting is a common monetary policy regime. Inflation targets are often flexible in the sense that the central bank allows inflation to temporarily deviate from the target to avoid causing unnecessary volatility in the real economy. In this paper, we propose modeling the degree of flexibility using an autoregressive fractionally integrated moving average (ARFIMA) model. Assuming that tInflation targeting is a common monetary policy regime. Inflation targets are often flexible in the sense that the central bank allows inflation to temporarily deviate from the target to avoid causing unnecessary volatility in the real economy. In this paper, we propose modeling the degree of flexibility using an autoregressive fractionally integrated moving average (ARFIMA) model. Assuming that
Background: In addition to the established association between general obesity and breast cancer risk, central obesity and circulating fasting insulin and glucose have been linked to the development of this common malignancy. Findings from previous studies, however, have been inconsistent, and the nature of the associations is unclear.Methods: We conducted Mendelian randomization analyses to evalu
Subarctic ecosystems are predicted to experience the fastest responses to climate change on the planet, with dramatically altered vegetation patterns, frost dynamics and hydrological flow paths. The resulting change in dissolved organic carbon (DOC) export to river systems is poorly known, but reports of rising DOC in northern surface waters have led to widespread speculations on a possible climat
