Bakgrund: Existentiell omvårdnad är en av de fyra dimensionerna för en människas helhetsvård och att tillhandahålla existentiell omvårdnad ingår i sjuksköterskans roll. Personer i palliativ vård är sårbara och att lindra personernas lidande står i fokus. Trots detta glöms den existentiella dimensionen ofta bort och personer blir lidande. Syfte: Syftet med denna studie var att beskriva sjuksköterskans upplevelse av existentiell omvårdnad inom palliativ vård. Metod: En kvalitativ litteraturöversikt med tolv vetenskapliga artiklar användes. Artiklarna söktes i databaser och Fribergs femstegsanalys användes till analys av artiklar. Resultat: Via analysen av materialet utformades tre huvudkategorier. Vikten av relationen belyste betydelsen av att vara närvarande och skapa en balans. Kommunikationens betydelse beskrev verbala och icke-verbala konversationer samt Utmaningar i det dagliga arbetet beskrev känslan av otillräcklighet. Slutsats: Sjuksköterskor upplevde utmaningar med att tillhandahålla en existentiell omvårdnad. Brist på tid och kunskap ledde till att sjuksköterskor upplevde en känsla av otillräcklighet medan en bra kommunikation och relation med patienterna underlättade vid identifiering av patienters existentiella behov. / Background: Existential care is one of the four dimensions when caring for a human and to provide existential care is included in the nurse profession. People in palliative care are vulnerable and to ease the persons suffering is the main focus. Despite this, the existential dimension is often forgotten and people suffer. Aim: The aim of this study was to describe nurses experience of existential care in the palliative care. Method: A qualitative literature review with twelve scientific articles were used. The search for articles was made in databases and Fribergs five step analysis was used during the article analysis. Result: Through the analyses, three main categories were formed. Importance of the relationship described the great value of being present and creating a balance. The importance of communication described the verbal and non-verbal conversations. And Challenges for the daily work described the feeling of inadequacy. Conclusion: Nurses experienced challenges with providing an existential care. Lack of time and knowledge led to nurses experiencing a feeling of inadequacy whilst a good communication and relationship with the patients facilitated in identifying a patient's existential needs.

The thesis apply to reliability problems approach of Voronoi tessellation, typically used in the field of samples designs evaluation and for Monte Carlo samples reweighing. It is shown, this general technique estimation converges to that of Importance Sampling method despite it does not rely on Importance Sampling's auxiliary density. Consequently, reliability analysis could be divided into sampling itself and assessment of simulation results. As an extension of this idea, adaptive statistical sampling using QHull library was attempted.

Customer overall satisfaction towards a public transport system depends mainly on two factors: how satisfied they are with different aspects that make up the service and how important each of the service aspects is to the customer. Traditionally, researchers use revealed preference surveys and ordered probit/logit models to estimate the contribution of each service attribute towards the overall satisfaction. This paper aims to verify the possibility of replacing the traditional method with the more cost-effective best-worst case 1 method, using a customer survey recently conducted in Santander, Spain. The results show that the satisfaction level obtained from these alternative methods are remarkably similar. The relative importance of each attribute delivered by the two methods differ, with the Best-Worst approach showing more intuitive and consistent results with the literature on public transport customer satisfaction. A regression method is developed to derive customer satisfaction with each service attribute from Best-Worst modelling results.

‘‘SARS-CoV-2’’ which is responsible for the current pandemic of COVID-19 disease was first reported from Wuhan, China, on 31 December 2019. Since then, to prevent its propagation around the world, a set of rapid and strict countermeasures have been taken. While most of the researchers around the world initiated their studies on the Covid-19 lockdown effect on air quality and concluded pollution reduction, the most reliable methods that can be used to find out the reduction of the pollutants in the air are still in debate. In this study, we performed an analysis on how Covid-19 lockdown procedures impacted the air quality in selected cities i.e. New Delhi, Diepkloof, Wuhan, and London around the world. The results show that the air quality index (AQI) improved by 43% in New Delhi,18% in Wuhan,15% in Diepkloof, and 12% in London during the initial lockdown from the 19th of March 2020 to 31st May 2020 compared to that of four-year pre-lockdown. Furthermore, the concentrations of four main pollutants, i.e., NO2, CO, SO2, and PM2.5 were analyzed before and during the lockdown in India. The quantification of pollution drop is supported by statistical measurements like the AVOVA Test and the Permutation Test. Overall, 58%, 61%,18% and 55% decrease is observed in NO2, CO,SO2, and PM2.5 concentrations, respectively. To check if the change in weather has played any role in pollution level reduction or not we analyzed how weather factors are correlated with pollutants using a correlation matrix. Finally, machine learning regression models are constructed to assess the lockdown impact on air quality in India by incorporating weather data. Gradient Boosting is performed well in the Prediction of drop-in PM2.5 concentration on individual cities in India. By comparing the feature importance ranking by regression models supported by correlation factors with PM2.5.This study concludes that COVID-19 lockdown has a significant effect on the natural environment and air quality improvement.

Title: The development of flexibility and its influence on sports training of judo Objectives: Analysis of the influence of flexibility in sports performance in judo and its appropriate methods of development. Methods: The diploma thesis was processed as a descriptive-analytical work in the form of a critical literary resource search. Results: Based on the literature search, it was found that judo in the main part of the training unit leads to the development of flexibility. It influences the speed of execution of the technique and improves sports performance. Flexibility can be amplified not only by the traditional stretching method, bud also by strength training. However, this is not the case with the development of maximum strength. There is no established test in testing methodology for evaluating flexibility. Keywords: Judo, flexibility, sports performance, resistance training, motor testing, literary research

The thesis deals with contemporary possibilities of psychohygiene of professional nannies working in their clients' families, and all different aspects related to such work. The thesis comprises two parts, the theoretical and practical. The theoretical part covers explanations of terminology and phenomena focused on problematics of the essential requirements for work performance of professional nannies. The practical part consists of qualitative research exploring what nannies think of practisting psychohygiene within their profession as a whole. The research was conducted using semi-structured interviews with seven professional nannies currently working in their clients' families. The research findings show professional nannies are aware of benefits and effectiveness of psychohygiene. However, they perceive these as limited by different circumstances. Despite such limitations professional nannies always find a way to get motivated and overcome challenging situations. The more experienced they are, the easier everything at work becomes. Keywords: Possibilities and Importance of Psychohygiene, Stress, Nanny, Professionalisation, Competencies, Contemporary family.

Forests in the southern United States with diverse forest ownership entities are facing threats associated with climate change and natural disturbances. This study represented the relationship between climate and species dominance, predicted future species distribution probability under a changing climate, and projected forest dynamics under ownership-based management regimes. Correlative statistics and mechanistic modeling approaches are implemented. Temporal scale includes the recent past 40 years and the future 60 years; spatial scale downscaled from southern United States to the coastal region of the northern Gulf of Mexico. In the southern United States, dominance of four major pine species experienced shifts from 1970 to 2000; quantile regression models built on the relationships among pine dominance and climatic variables can be used to predict future southern pine dominance. Furthermore, multiple climate envelope models (CEMs) were constructed for nineteen native and one invasive tree species (Chinese tallow, Triadica sebifera) to predict species establishment probabilities (SEPs) on the various land types from 2010 to 2070. CEMs achieved both predictive consistency and ecological conformity in estimating SEPs. Chinese tallow was predicted to have the highest invasionability in longleaf/slash pine and oak/gum/cypress forests during the next 60 years. Forest dynamics, in the coastal region, was projected by linking CEMs and forest landscape model (LANDIS) to evaluate ownership-based management regimes under climate change and natural disturbances. The dominance of forest species will diminish due to climate change and natural disturbances at both spatial scales—in the coastal region and non-industrial private forest (NIPF). No management on NIPF land was predicted to substantially increase the ratio of occupancy area between pines and oaks, but moderate and intensive management regimes were not significantly different. Pines are expected to be more resistant than oaks by maintaining stable age structures, which matched the forest inventory records. Overall, this study projected a future of southern forests on climate-species relationship, invasion risks, and forest community dynamics under multiple scenarios in the United States. Such knowledge could assist forest managers and landowners in foreseeing the future and making effective management prescriptions to mitigate potential threats.

Avsikten med denna uppsats har varit att undersöka om det går att urskilja några särskilda mönster i hur införandet av lärplattformen Fronter fungerar i olika undersökta skolor i en svensk kommun. Fokus lades på skolledarnas eget användande av lärplattformen som ett dagligt verktyg i sin verksamhet samt om det fanns några andra möjliga samband mellan grad av användande på skolorna och datortätheten eller elevernas ålder. För att ta reda på detta behövde jag få veta hur skolledarna använde sig av systemet samt hur väl systemet användes på olika undersökta skolor i kommunen. Undersökningsgruppen har varit några utvalda skolledare i den undersökta kommunen. Jag har bedrivit en tredelad undersökning. En strukturerad och standardiserad intervju med utvalda skolledare som berörde skolledarnas eget användande av systemet, skolans datortäthet med mera. Statistik över de olika skolornas användande av systemet är den andra metoden. Statistiken hjälpte mig att se om det fanns några kopplingar mellan skolans användandegrad och skolledarens användandegrad. Den tredje metoden var halvstrukturerad intervju med två utvalda skolledare. En skolledare på en skola där införandet av Fronter har gått sämre och en skolledare på en skola där införandet har gått bättre. Sammantaget gav dessa tre metoder större reliabilitet och tyngd åt mitt svar på frågeställningarna. Arbetets slutsats är att, på de undersökta skolorna, spelar skolledarnas eget användande i kombination med deras engagemang och tydliga ledning, säkerligen tillsammans med många andra faktorer, större roll för ett lyckat införande än vad exempelvis datortätheten gör. Allt handlar inte om skolledaren. Men initialt sett kan hon eller han vara den som bildar en samarbetsgrupp, påbörjar framtagandet av handlingsplan, utser administratörer eller bara nämner möjligheten på en skolkonferens och att användandegraden på skolan sedan ökar som ringar på vattnet. En tid efter införandet kommer enligt min uppfattning det stora eldprovet – om lärare och elever ser en verklig nytta med att använda systemet. / The purpose of this extended essay has been to examine if any patterns are identified when it comes to how successfull the introduction of the VLE Fronter is in different schools in a Swedish municipality. Focus is on the principals’ own activity and usage of Fronter. I have come to the conclusion that the most successful schools are the schools where the principals themselves use the system and the way they lead and encourage their teachers.

Noisy labels could cause severe degradation to the classification performance. Especially for deep neural networks, noisy labels can be memorized and lead to poor generalization. Recently label noise robust deep learning has outperformed traditional shallow learning approaches in handling complex input data without prior knowledge of label noise generation. Learning from noisy labels by importance reweighting is well-studied. Existing work in this line using deep learning failed to provide reasonable importance reweighting criterion and thus got undesirable experimental performances. Targeting this knowledge gap and inspired by domain adaptation, we propose a novel label noise robust deep learning approach by importance reweighting. Noisy labeled training examples are weighted by minimizing the maximum mean discrepancy between the loss distributions of noisy labeled and clean labeled data. In experiments, the proposed approach outperforms other baselines. Results show a vast research potential of applying domain adaptation in label noise problem by bridging the two areas. Moreover, the proposed approach potentially motivate other interesting problems in domain adaptation by enabling importance reweighting to be used in deep learning. / Felaktiga annoteringar kan sänka klassificeringsprestanda.Speciellt för djupa nätverk kan detta leda till dålig generalisering. Nyligen har brusrobust djup inlärning överträffat andra inlärningsmetoder när det gäller hantering av komplexa indata Befintligta resultat från djup inlärning kan dock inte tillhandahålla rimliga viktomfördelningskriterier. För att hantera detta kunskapsgap och inspirerat av domänanpassning föreslår vi en ny robust djup inlärningsmetod som använder omviktning. Omviktningen görs genom att minimera den maximala medelavvikelsen mellan förlustfördelningen av felmärkta och korrekt märkta data. I experiment slår den föreslagna metoden andra metoder. Resultaten visar en stor forskningspotential för att tillämpa domänanpassning. Dessutom motiverar den föreslagna metoden undersökningar av andra intressanta problem inom domänanpassning genom att möjliggöra smarta omviktningar.

This essay, which is at once a literary critical examination and a theological exploration of the Hebraic scriptural book of Lamentations in relation to ancient Sumerian lament, employs a mixed critical approach (e.g., form, feminist, postmodern, reader response), to address various lyrical, contextual, and thematic elements common to both the biblical Lamentations and the older Sumerian compositions. Specific focus is given to issues of gender and gender-malleability, as well as the notion of "transgression" and the various meanings that may be attached to this word in various contexts, theological or otherwise. Also addressed is the means by which the lament genre reflects/reveals the ways in which individuals and communities attempt to construct meaning, or find solace, in the face of human suffering.