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Understanding the synergistic impacts of climate change and human activities on runoff and sediment dynamics is crucial for sustainable watershed management in the Yellow River Basin. This study examined hydrological variations in the Helong section of the Chinese Loess Plateau from 1980 to 2020. The Mann?Kendall and Pettitt tests were used to detect trends and abrupt changes in precipitation, run
Abstract in FrenchL’architecture éminente scandinave à la fin du Moyen-Âge sur terre et en mer. Une étude spatiale du château de Glimmingehus et du navire de guerre Gribshunden Par MARTIN HANSSON et BRENDAN FOLEYCe papier compare l’utilisation sociale de l’espace dans les châteaux et les navires de guerre à la fin du Moyen-Âge. Les principales études de cas utilisées sont le château de GlimmingehuTHIS PAPER COMPARES THE SOCIAL USE OF SPACE in late-medieval castles and warships. The main case studies used are the noble castle of Glimmingehus in present-day Sweden, built 1499 to 1505, and the royal warship Gribshunden, in use from the mid-1480s until its sinking in 1495; we also refer to the later and fully excavated warships Mary Rose and Vasa. Both castles and warships are examples of elit
Background: The C-reactive protein-triglyceride-glucose index (CTI) has been proposed as a novel biomarker for insulin resistance and inflammation. However, its role in the progression trajectory of cardiometabolic multimorbidity (CMM) remains unclear. We aimed to investigate the involvement of the CTI in the CMM progression trajectory. Methods: This prospective study included 266,049 individuals
A quantitative understanding of the hydro-environmental factors that influence the occurrence of agricultural drought events would enable more strategic climate change adaptation and drought management plans. Practical drought hazard mapping remains challenging due to possible exclusion of the most pertinent drought drivers, and to the use of inadequate predictive models that cannot describe droug
Considering the ever increasing financial damages of floods and the need to manage the surface water, the use of new and more sufficient methods seems to be necessary. Therefore, the present study aims to investigate capability of the Gamma, Beta, Chi-square, and Weibull probability distribution functions (PDFs) for flood hydrograph derivation. The present study was conducted in the Bar watershed,
Along with the gradually accelerated urbanization process, simulating and predicting the future pattern of the city is of great importance to the prediction and prevention of some environmental, economic and urban issues. Previous studies have generally integrated traditional machine learning with cellular automaton (CA) models to simulate urban development. Nevertheless, difficulties still exist
Situated in the ambiguous position as agents of both care and control, train hosts find themselves constantly engaging in balancing acts related to their professional role as frontline workers. This dynamic is especially relevant in cross-border regions where train hosts arguably assume the role of unofficial border agents. This thesis explores the professional practices and personal dispositions
The purpose of this qualitative study is to explore how the Swedish community support organizations BUFFF and Solrosen support children and youths with incarcerated parents with a focus on how they address stigma, provide safe spaces, and help prevent intergenerational criminality. Through semi-structured interviews with professionals from both organizations, this thesis examines how these childre
In recent years, the European Union (EU) has tackled the issue of free and fair competition in digital markets by enacting a regulatory framework within a specific legislation called “The Digital Markets Act” (DMA). This recently adopted regulation lays out rules and obligations binding on digital “gatekeepers”, that is undertakings operating on digital markets that provide “core platform services
Between 2024 and 2026, AI providers launched dedicated agent products and presented them as tools that can plan, decide and carry out marketing tasks with greater independence than earlier generative AI. On LinkedIn, Swedish marketing executives and industry opinion leaders produce a parallel discourse that reaches the same professional audience. This study examines how the relationship between th
This presentation presents a method for using Large Language Models (LLMs) to structure historical data about Swedish musical history. The research builds on the existing, human-created Stockholm Concert Database of concerts occurring in Stockholm between 1848-1908. Using this as a starting point, it details an experiment in automated extraction of information about concerts from historical Swedis
This paper explores how pro-active government policies could promote artificial intelligence (AI) in healthcare for the public good. Building on insights from the literature on industrial policy, we argue that without clear conditions and guardrails to ensure future public benefit, state assistance and subsidies will be nothing more than corporate welfare with unpredictable, if any, societal benef
Due to the large amount of accidents negatively affecting the wellbeing of the survivors and their families, a substantial amount of research is conducted to determine the causes of road accidents. This type of data come in the form of non-negative integers and may be modelled using the Poisson regression model. Unfortunately, the commonly used maximum likelihood estimator is unstable when the exp
Debate over the future of international science takes place in light of two trends that are frequently interpreted as standing in tension with each other. The longer-term pattern shows that science is increasingly an international endeavour, as collaboration across borders has grown. A more recent apparent re-nationalisation of science, however, raises questions over the march of international sci
Land cover and land management changes (LCLMCs) have a substantial impact on the global carbon budget and, consequently, on global climate via the biogeochemical (BGC) effects. The commonly considered BGC effects refer to the direct influence of LCLMCs on local carbon stocks (local BGC effects). However, LCLMCs also influence climate by altering the local surface energy balance due to changes in l
Advances in Earth observation capabilities mean that there is now a multitude of spatially resolved data sets available that can support the quantification of water and carbon pools and fluxes at the land surface. However, such quantification ideally requires efficient synergistic exploitation of those data, which in turn requires carbon and water land-surface models with the capability to simulta
The purpose of this work is to identify and analyze the key important barriers to uptake the compressed biogas (CBG) plants in India for enhancing their role as a sustainable energy source. Initially, the barriers are identified from the past academic literature using literature review process and are then validated through the fuzzy Delphi method with expert opinions. The finalized barriers were
