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Optimizing Time-Frequency Representations for Time-Series Signal Classification Using Neural Networks
Shell-model Investigations in the p1/2g9/2 Space
The goal of the present work is to investigate possible improvements to established shell-model interactions concerning atomic nuclei in the mass A=90, N=Z regime. These investigations consist of generating energy spectra for the isotopes Pd-94, Cd-94, Ag-95, and Cd-95 close to the proton drip line, as well as an investigation of the transition probabilities between selected states in Ag-95. Data
Characterization of the HIBEAM time projection chamber prototype
The HIBEAM/NNBAR collaboration at the European Spallation Source (ESS) aims to discover processes of baryon number violation, such as neutron-antineutron oscillations, and it furthermore includes searches for sterile neutrons, ultralight axion dark matter particles, and nonzero neutron electric charge. The following investigation presents the characterization of the HIBEAM time projection chamber
An analysis of consumer value in a destination with a well-developed hotel industry after the pandemic of Covid-19: a case study on St. Regis Macao
In the post-pandemic era, the hotel industry is gradually recovering alongside the broader tourism sector. As a key component of tourism, hotel quality plays a vital role in shaping guest experiences. This thesis examines consumer value in the context of a well-developed hotel industry by focusing on the St. Regis hotel in Macao as a case study. The research investigates what types of consumer val
Membrane Distillation and Forward Osmosis for Pre-concentration of Thin Juice in Swedish Beet Sugar Refining
Betsockerprocessen är en energiintensiv process där ångdriven indunstning används för att avlägsna stora mängder vatten från den upprenade tunnsaften, som innehåller det från betorna extraherade sockret. I takt med industrins önskade fokus på energieffektivisering har membranteknologier för förkoncentrering av tunnsaften fått ett ökat intresse. Trots lovande resultat i ett begränsat antal försök åThe beet sugar process is an energy intensive process relying on steam evaporation to remove large amounts of water from the purified thin juice containing the sugar extracted from the beets. As the industry seeks greater energy efficiency, membrane technology for pre-concentration of thin juice has attracted interest. Limited trials have shown promise but fouling, sugar losses or high osmotic pre
Current challenges in lung transplantation
Lung transplantation remains the definitive treatment for end-stage lung disease, but several critical challenges persist. Key issues include the limited availability of donor organs, ongoing debates over optimal preservation methods, and the controversy surrounding the best intraoperative support systems. Additionally, the efficacy of bridging strategies to transplantation continues to be questio
Compression of Entanglement Improves Quantum Communication
Shared entanglement can significantly amplify classical correlations between systems interacting over a limited quantum channel. A natural avenue is to use entanglement of the same dimension as the channel because this allows for unitary encodings, which preserve global coherence until a measurement is performed. Contrasting this, a distributed task based on a qubit channel is demonstrated, for wh
Perceived productivity when working from home : Insights into the global experience
Purpose: This study aims to provide insights into the experiences of working from home (WFH) in a global context from the perspective of perceived productivity. Design/methodology/approach: This paper uses a multivariate analysis benefiting from an extensive data set of almost 137,500 respondents from 88 countries. Findings: This paper find that most respondents are satisfied with their productivi
Theory and Computation of Substructure Characteristic Modes
The problem of substructure characteristic modes is developed using a scattering matrix-based formulation, generalizing subregion characteristic mode decomposition to arbitrary computational tools. It is shown that the modes of the scattering formulation are identical to the modes of the classical formulation based on the background Green’s function for lossless systems under conditions where both
Supplemental oxygen for symptomatic relief in people with serious respiratory illness : a systematic review and meta-analysis
Background People with serious respiratory illness frequently have a high symptom burden and may be prescribed supplemental oxygen therapy with the aims of reducing the severity of breathlessness and improving health-related quality of life (HRQoL). This systematic review and meta-analysis aimed to assess the effectiveness of oxygen therapy versus no oxygen on 1) breathlessness, 2) HRQoL and 3) ad
The Genesis of Rohingya Statelessness and Justice Pathways for Rohingya Refugees
The Rohingya crisis is a profound human rights and humanitarian disaster, representing one of the most severe contemporary instances of statelessness. This condition is characterised by the systematic denial of nationality and fundamental rights, largely facilitated by Myanmar's discriminatory state-institutionalised practices and its Citizenship Law of 1982, which excludes the Rohingya from r
Dive Fishing in La Moskitia, Honduras: State and Corporate Human Rights Obligations in High-Risk Sectors.
The United Nations Declaration on the Rights of Peasants and Other People Working in Rural Areas: The Potential Impact of a Soft Law Instrument
The current agricultural model is criticized for its imperialist character and focus on productivity, and it affects peasants and small-scale farmers. However, the United Nations Declaration on the Rights of Peasants and Other People Working in Rural Areas (UNDROP), adopted in 2018, could have an impact. The question in focus is: What contribution can the UNDROP, as a soft law instrument, make to
Simulating water temperature in Lake Vättern in Sweden using a 3D lake model
Lake ecosystems are increasingly affected by climate change, leading to prolonged periods of elevated water temperatures. This warming reduces surface water density, intensifying thermal stratification and trapping cold water in deeper layers. Consequently, cold-water fish and other organisms are confined to limited deep-water habitats. Understanding lake thermal structure is crucial for effective
Eslöv:Bruksstaden
Mellan övervuxna spår, väderbitna tegelfasader och tomma hallar undersöker vi i detta examensarbete kraften i postindustriella platser, inte som statiska element från det som varit, utan som en generativ grund för det som kan komma att bli. Vi rör oss i spänningsfältet mellan bevarande och förnyelse, där vårt arbete ifrågasätter dualiteterna gammalt/nytt, produktion/boende och minne/utveckling, vBetween overgrown tracks, weathered brick facades and empty halls, this thesis explores the power of post-industrial sites, not as static elements of the past, but as a generative basis for what might be. We operate in the tension between preservation and regeneration, where our work questions the dualities of old/new, production/living and memory/development, which often characterise discussions
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As the population ages, the risk of loneliness increases,especially when reduced mobility or illness leads to isolation from community and social life. At the same time 7 percent of Danes live with major disabilities, yet the built environment often overlooks their needs. Age and disability alike reveal how architecture continues to fall short of true inclusion. This thesis is an experiment in r
Integration of multi-source data with machine learning for agricultural drought monitoring in Morocco
Drought is one of the most costly disasters worldwide. The complexity of nonlinear relationships between drought variables and drought severity during drought events poses significant challenges for accurate drought monitoring and prediction. Drought research in Morocco has been dominated by linear and conventional statistical methods, such as the pearson correlation. Although some earlier researc
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Global tracking of marine megafauna space use reveals how to achieve conservation targets
The recent Kunming-Montreal Global Biodiversity Framework (GBF) sets ambitious goals but no clear pathway for how zero loss of important biodiversity areas and halting human-induced extinction of threatened species will be achieved. We assembled a multi-taxa tracking dataset (11 million geopositions from 15,845 tracked individuals across 121 species) to provide a global assessment of space use of