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Case Study on the Application of Machine Learning in Hydrology
This thesis presents a case study on the application of artificial intelligence (AI) in hydrology using two approaches. This topic was chosen since AI is an important tool, and water is a vital resource. The first case is on leakage detection with artificial data, while the second is on precipitation prediction with real data. For leakage detection, a random forest (RF) model and an artificial neuWater is the most vital resource, yet globally, 30% is lost through leaks. By implementing artificial intelligence (AI), this thesis has developed methods to locate leaks with high precision, as well as models to improve accuracy on satellite-based precipitation data. This thesis investigates two applications of AI on real-world problems; detecting water leaks and improving precipitation data. Th
The Power of Employees for Legitimate and Effective Crisis Communication
The chapter argues that employees play a central yet historically overlooked role in organizational crisis communication. Traditional crisis communication has emphasized external stakeholders and managerial control, but this chapter highlights internal communication as a continuous, relational, and sensemaking process that shapes organizational legitimacy. Employees are portrayed as active sensema
Catalysis across spectrum and time : Spectroscopic and electrochemical insights for material and mechanistic response
The transition toward sustainable energy systems has motivated extensive research into scalable routes for solar fuel generation. Silicon-based photoelectrodes are particularly promising due to their favorable optoelectronic properties, abundance, and compatibility with established microfabrication techniques. Nano-microstructuring silicon can enhance photoelectrochemical performance by improving
Lightweight personalisation for MEMS-based wearables : a padel stroke recognition case study
This work investigates lightweight personalisation of micro-electro-mechanical systems (MEMS)-based wearables using a public padel database as a case study. We compare a centralised CNN model, single-user models and two fine-tuning schemes (full and last-layer) on wrist-worn IMU data from 23 players and 13 stroke classes. Personalised models with data augmentation achieve weighted F1-scores above
Change in the chondroitin/dermatan structure in distal lung tissue from COPD patients
Chronic obstructive pulmonary disease (COPD) is a progressive condition characterized by airway remodeling, including emphysema and fibrosis. Proteoglycans and their glycosaminoglycan (GAG) chains are key components of the extracellular matrix and may be altered as the disease advances. This study analyzed lung tissue from COPD patients (GOLD stages II-III and IV), non-COPD smokers, and non-smoker
Dynamic multi-layer Aerial system for latent diffusion-based Generative AI Inference at the Edge
In this paper, we investigate a Multi-layer Aerial system for GenAI inference at the Edge (MAGE). Therein, ground user equipments (UEs) request image synthesis services from a remote base station (BS) that leverages the Latent Diffusion Model (LDM) for image generation. Multiple Unmanned Aerial Vehicles (UAVs) are deployed to serve the UEs for relaying their images and prompts to the BS. To reduce
Att analysera anpassningsförmåga inför framtida kriser : En lathund
A metaheuristic approach for mission assignment and task offloading in Open RAN-enabled intelligent transport systems
We explore mission assignment and task offloading in Open Radio Access Network (Open RAN)-enabled intelligent transportation systems (ITS), where autonomous vehicles utilize mobile edge computing for efficient processing. Existing studies often overlook mission dependencies and offloading costs, leading to suboptimal decisions. To address this, we formulate a novel optimization problem that integr
Active train stations
With the current climate crisis, it is time to reframe our understanding of active mobility as a solution for short journeys only. When combined with public transport, almost any journey can be an active one. To compete with private automobile travel, public transport must combine the speed of motorised transport, the reliability of dedicated right-of-way services, and the flexibility of active tr
Five Pathogenetic Classifications for Alloimmune Hemolytic Disease of the Fetus And Newborn
Maternal alloantibody-induced hemolytic disease of the fetus and newborn (HDFN) remains a significant concern worldwide. Alloimmune HDFN can be pathogenetically named by the specific alloantibodies involved. Moreover, four mechanistic pathway types are generally recognized in clinical practice: classical or extravascular hemolysis; immune-pressure-escaped, also known as antibody-mediated antigen-m
A new sample of massive B-type contact binary candidates from the OGLE survey of the Magellanic Clouds
Context. Massive contact binaries (CBs) are crucial objects for understanding close binary evolution and stellar mergers. Study of these objects has been hampered by a scarcity of observed systems, particularly of B-type systems which are expected to dominate this class. Aims. We bridge this observational gap by mining a large sample of massive CB candidates from the OGLE-IV database, potentially
Biodiversity, EU Pesticides Law, and Trade : Deconstructing World Trade Organization Delegates’ Concerns through a Human Rights Lens
The European Union (EU) is implementing unilateral trade restrictions on imports that contain residues of pesticides banned for use within its borders. Several Latin American (LA) countries, among other EU trading partners, have criticized these measures, leading to a contentious debate that could escalate into a trade dispute before the World Trade Organization (WTO). This article aims to unpack
Knowledge for policy in a transformative age : exploring the structural, operational and practice-oriented characteristics of innovation policy research organisations
This paper examines the evolving role of universities in transferring and developing knowledge to foster transformative Science, Technology, and Innovation (STI) policy amid significant shifts in economic development landscapes. With a rising focus on geopolitics, defense, resilience, and disruptive technologies, universities are increasingly expected to engage and act as catalysts for sustainable
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New Insights into Cardiopulmonary Comorbidity: Clinical Outcomes, Epidemiology and Biomarkers
Coherent control of ionization via stabilization by resonant pulse pairs
We study the nonlinear and resonant process of two-photon ionization of atoms (He and H) in a pump-probe scheme. The pump pulse prepares the quantum system in a superposition of the ground state and an excited bound state. By varying the phase difference between the pulses, we show how it is possible to coherently control the dressed-state population during the probe pulse. Our main result is that
Large Eddy Simulation of Thermo-Acoustic Instabilities in Bluff-Body Stabilized Flames; A Comparison Between Jet-A and C1
Due to the threat climate change poses, the aviation industry needs to adapt. In the process to convert the aviation fleet into a more environmentally friendly fleet, using biofuels such as Sustainable Aviation Fuels as a drop-in fuel remains a promising option. To include biofuels, safety aspects need to be investigated, where combustion instabilities are important. Thermo-acoustic instabilities
Protecting Lithium Metal Electrode With Titanium Based Interphase : Synthesis and Battery Performance
Atomic layer deposition (ALD) of interphases is a promising strategy for stabilizing lithium metal negative electrode and mitigating dendrite formation in rechargeable batteries. In this work, we investigate the growth mechanism and electrochemical impact of titanium-based ALD coatings on highly reactive lithium surfaces. Operando ambient-pressure X-ray photoelectron spectroscopy (APXPS) was emplo
Unlocking green transitions : system-level agency in peripheral regions
This paper examines the role of system-level agency in shaping green transitions in peripheral regions. The comparative case study analysis of four peripheral regions in Germany reveals significant differences in capacities to address challenges, overcome dependencies and seize green opportunities. It showcases how intermediaries function as conducive actors that unlock regional transition process
