Bakgrund: Bidragande orsaker till arbetsrelaterad stress för sjuksköterskor är tiden, stödet och den befintliga arbetsmiljön. Upplevelsen av stress är individuellt betingat då livssituation och genetiska faktorer är avgörande. Arbetsuppgifternas mängd relaterat till arbetstiden anses problematiskt för sjuksköterskor. Stressen kan leda till att sjuksköterskor ställs i konflikt med sitt professionsansvar, då stressen medför att patientsäkerheten riskeras. Detta är ett viktigt ämne att studera eftersom arbetsrelaterad stress utmanar både patientsäkerheten och sjuksköterskors hälsa. Syfte: Syftet är att belysa sjuksköterskors upplevelser av arbetsrelaterad stress. Metod: Studien bygger på en systematisk litteraturstudie, där nio kvalitativa vetenskapliga artiklar valts ut. Resultatet har sammanställts genom kvalitetsgranskning och analys av artiklarnas resultat. Artiklarna har inhämtats från databaserna CINAHL och PsycINFO. Resultat: Tidsbrist samt avsaknad av stöd och resurser beskrivs främst ligga till grund för arbetsrelaterad stress. Den övergripande kategorin i resultatet benämns - ”Känsla av att ej kunna räcka till”. Sjuksköterskors upplevelser beskrivs utifrån tre underkategorier som benämns enligt följande; ”Otillräckliga resurser med bristfälligt stöd i arbetsgivarens ledarskap”, ”Det kollegiala samspelets påverkan på den upplevda stressnivån” och ”En stressfylld professions inverkan på individnivå”. Konklusion: Arbetsrelaterad stress kan få allvarliga konsekvenser på omvårdnadsarbetet samt på sjuksköterskan som individ. Att uppmärksamma problematiseringen kring detta område är viktigt i syfte att kunna skapa hanteringsstrategier och förändringar i verksamheten, med avsikt att gynna yrkesprofessionen samt kvaliteten på vården. Nyckelord: Arbetsrelaterad stress, sjuksköterskor, upplevelser / Background: Lack of time and support in the work environment are factors that causes occupational stress. The experience of stress is individual and correlates to the individual’s life situation and genetic prerequisites. Occupational stress can lead to a situation where nurses experience that patient safety is at risk. This is an important subject to study because of the reasons stated above. Aim: The aim of this study is to shed light on nurse’s experience of occupational stress. Method: This study is based on a systematical literature study, containing nine qualitative scientific articles, which were analyzed and quality checked. The data is collected from two databases – CINAHL and PsycINFO. Result: Lack of time, support and recourses in the workplace is described as the main reasons when it comes to the experience of occupational stress. The main category in the result is called “The feeling of insufficiency”. Nurses experiences is described thru three subcategories; “Insufficient resources and lack in employer’s leadership”, “The Collegial interplays impact on the experienced stress-level” and “A stress-filled professions impact on a personal level” Conclusion: Occupational stress can have negative consequences in nurse’s ability to give proper care and it effects nurses on a personal level. To shed light on this problem is important to create coping-strategies and change clinical nursing in a way that enhance the profession and the quality of care. Key words: Occupational stress, nurses, experiences

Positronium-hydrogen (Ps-H) scattering is of interest, as it is a fundamental four-body Coulomb problem. We have investigated low-energy Ps-H scattering below the Ps(n=2) excitation threshold using the Kohn variational method and variants of the method with a trial wavefunction that includes highly correlated Hylleraas-type short-range terms. We give an elegant formalism that combines all Kohn-type variational methods into a single form. Along with this, we have also developed a general formalism for Kohn-type matrix elements that allows us to evaluate arbitrary partial waves with a single codebase. Computational strategies we have developed and use in this work will also be discussed.With these methods, we have computed phase shifts for the first six partial waves for both the singlet and triplet states. The 1S and 1P phase shifts are highly accurate results and could potentially be viewed as benchmark results. Resonance positions and widths for the 1S-, 1P-, 1D-, and 1F-waves have been calculated.We present elastic integrated, elastic differential, and momentum transfer cross sections using all six partial waves and note interesting features of each. We use multiple effective range theories, including several that explicitly take into account the long-range van der Waals interaction, to investigate scattering lengths for the 1,3S and 1,3P partial waves and effective ranges for the 1,3S-wave.

No description available.

Recently, there is a tremendous amount of high resolution imagery that wasn’t available years ago, mainly because of the advancement of the technology in capturing such images. Most of the very high resolution (VHR) imagery comes in three bands only the red, green and blue (RGB), whereas, the importance of using such imagery in remote sensing studies has been only considered lately, despite that, there are no enough studies examining the usefulness of these imagery in urban applications. This research proposes a method to investigate high resolution imagery to analyse an urban area using UAV imagery for land use and land cover classification. Remote sensing imagery comes in various characteristics and format from different sources, most commonly from satellite and airborne platforms. Recently, unmanned aerial vehicles (UAVs) have become a very good potential source to collect geographic data with new unique properties, most important asset is the VHR of spatiotemporal data structure. UAV systems are as a promising technology that will advance not only remote sensing but GIScience as well. UAVs imagery has been gaining popularity in the last decade for various remote sensing and GIS applications in general, and particularly in image analysis and classification. One of the concerns of UAV imagery is finding an optimal approach to classify UAV imagery which is usually hard to define, because many variables are involved in the process such as the properties of the image source and purpose of the classification. The main objective of this research is evaluating land use / land cover (LULC) classification for urban areas, whereas the data of the study area consists of VHR imagery of RGB bands collected by a basic, off-shelf and simple UAV. LULC classification was conducted by pixel and object-based approaches, where supervised algorithms were used for both approaches to classify the image. In pixel-based image analysis, three different algorithms were used to create a final classified map, where one algorithm was used in the object-based image analysis. The study also tested the effectiveness of object-based approach instead of pixel-based in order to minimize the difficulty in classifying mixed pixels in VHR imagery, while identifying all possible classes in the scene and maintain the high accuracy. Both approaches were applied to a UAV image with three spectral bands (red, green and blue), in addition to a DEM layer that was added later to the image as ancillary data. Previous studies of comparing pixel-based and object-based classification approaches claims that object-based had produced better results of classes for VHR imagery. Meanwhile several trade-offs are being made when selecting a classification approach that varies from different perspectives and factors such as time cost, trial and error, and subjectivity.       Classification based on pixels was approached in this study through supervised learning algorithms, where the classification process included all necessary steps such as selecting representative training samples and creating a spectral signature file. The process in object-based classification included segmenting the UAV’s imagery and creating class rules by using feature extraction. In addition, the incorporation of hue, saturation and intensity (IHS) colour domain and Principle Component Analysis (PCA) layers were tested to evaluate the ability of such method to produce better results of classes for simple UAVs imagery. These UAVs are usually equipped with only RGB colour sensors, where combining more derived colour bands such as IHS has been proven useful in prior studies for object-based image analysis (OBIA) of UAV’s imagery, however, incorporating the IHS domain and PCA layers in this research did not provide much better classes. For the pixel-based classification approach, it was found that Maximum Likelihood algorithm performs better for VHR of UAV imagery than the other two algorithms, the Minimum Distance and Mahalanobis Distance. The difference in the overall accuracy for all algorithms in the pixel-based approach was obvious, where the values for Maximum Likelihood, Minimum Distance and Mahalanobis Distance were respectively as 86%, 80% and 76%. The Average Precision (AP) measure was calculated to compare between the pixel and object-based approaches, the result was higher in the object-based approach when applied for the buildings class, the AP measure for object-based classification was 0.9621 and 0.9152 for pixel-based classification. The results revealed that pixel-based classification is still effective and can be applicable for UAV imagery, however, the object-based classification that was done by the Nearest Neighbour algorithm has produced more appealing classes with higher accuracy. Also, it was concluded that OBIA has more power for extracting geographic information and easier integration within the GIS, whereas the result of this research is estimated to be applicable for classifying UAV’s imagery used for LULC applications.

Scale is an essential notion in geography and geographic information science (GIScience). However, the complex concepts of scale and traditional Euclidean geometric thinking have created tremendous confusion and uncertainty. Traditional Euclidean geometry uses absolute size, regular shape and direction to describe our surrounding geographic features. In this context, different measuring scales will affect the results of geospatial analysis. For example, if we want to measure the length of a coastline, its length will be different using different measuring scales. Fractal geometry indicates that most geographic features are not measurable because of their fractal nature. In order to deal with such scale issues, the topological and scaling analyses are introduced. They focus on the relationships between geographic features instead of geometric measurements such as length, area and slope. The scale change will affect the geometric measurements such as length and area but will not affect the topological measurements such as connectivity.   This study uses three case studies to demonstrate the scale issues of geographic features though fractal analyses. The first case illustrates that the length of the British coastline is fractal and scale-dependent. The length of the British coastline increases with the decreased measuring scale. The yardstick fractal dimension of the British coastline was also calculated. The second case demonstrates that the areal geographic features such as British island are also scale-dependent in terms of area. The box-counting fractal dimension, as an important parameter in fractal analysis, was also calculated. The third case focuses on the scale effects on elevation and the slope of the terrain surface. The relationship between slope value and resolution in this case is not as simple as in the other two cases. The flat and fluctuated areas generate different results. These three cases all show the fractal nature of the geographic features and indicate the fallacies of scale existing in geography. Accordingly, the fourth case tries to exemplify how topological and scaling analyses can be used to deal with such unsolvable scale issues. The fourth case analyzes the London OpenStreetMap (OSM) streets in a topological approach to reveal the scaling or fractal property of street networks. The fourth case further investigates the ability of the topological metric to predict Twitter user’s presence. The correlation between number of tweets and connectivity of London named natural streets is relatively high and the coefficient of determination r2 is 0.5083.   Regarding scale issues in geography, the specific technology or method to handle the scale issues arising from the fractal essence of the geographic features does not matter. Instead, the mindset of shifting from traditional Euclidean thinking to novel fractal thinking in the field of GIScience is more important. The first three cases revealed the scale issues of geographic features under the Euclidean thinking. The fourth case proved that topological analysis can deal with such scale issues under fractal way of thinking. With development of data acquisition technologies, the data itself becomes more complex than ever before. Fractal thinking effectively describes the characteristics of geographic big data across all scales. It also overcomes the drawbacks of traditional Euclidean thinking and provides deeper insights for GIScience research in the big data era.

要旨・本文は公開していません。 / Kyoto University (京都大学) / 0048 / 新制・課程博士 / 博士(経済学) / 甲第14890号 / 経博第380号 / 新制||経||240(附属図書館) / 27328 / UT51-2009-M804 / 京都大学大学院経済学研究科現代経済・経営分析専攻 / (主査)教授 徳賀 芳弘, 教授 藤井 秀樹, 教授 澤邉 紀生 / 学位規則第4条第1項該当

The study is based on qualitative research which aimed to show how four teachers interact in book talks with the students i connection with Swedish lessons in first grade. The study has focused on teachers´ questions to analyze the types of conversational genres that arise in connection with book talks in first grade.  Data was collected through interviews and observations. The interviews and observations were made at a school in the county of Stockholm. Four teachers´ Swedish lessons were observed and they were interviewed about how they describe and explain their use of book talks in Swedish lessons. Hultin´s categorization for speech genres and rhetorical and non-rhetorical questions´ (2006) served as main theoretical frameworks for analyzing the empirical material. From the interviews, I have come to the conclusion that the teachers are aware of different speech genres, and they use rhetorical and non-rhetorical questions for different purposes. The results of the study show that, depending on their purpose with book talk, teachers use different conversational genres.  The reults of the study show that a conversational genre dominated in the book talks that were examined but they also showed elements of other genres to a certain extent. It appears that two conversational genres were dominant in the teaching of teachers, that is, the teaching examination and the text oriented talk. On the other hand the culturally oriented talk and the informal book talk only appeared as compliments to the dominant genres. The study shows that teachers´ awareness of these genres is of great importance for developing the pupils´ reflective minds and skills.

Visualization is the process of constructing methods, which are able to synthesize interesting and informative images from data sets, to simplify the process of interpreting the data. In this thesis a new approach to construct meteorological visualization methods using neural network technology is described. The methods are trained with examples instead of explicitely designing the appearance of the visualization. This approach is exemplified using two applications. In the fist the problem to compute an image of the sky for dynamic weather, that is taking account of the current weather state, is addressed. It is a complicated problem to tie the appearance of the sky to a weather state. The method is trained with weather data sets and images of the sky to be able to synthesize a sky image for arbitrary weather conditions. The method has been trained with various kinds of weather and images data. The results show that this is a possible method to construct weather visaualizations, but more work remains in characterizing the weather state and further refinement is required before the full potential of the method can be explored. This approach would make it possible to synthesize sky images of dynamic weather using a fast and efficient empirical method. In the second application the problem of computing synthetic satellite images form numerical forecast data sets is addressed. In this case a mode is trained with preclassified satellite images and forecast data sets to be able to synthesize a satellite image representing arbitrary conditions. The resulting method makes it possible to visualize data sets from numerical weather simulations using synthetic satellite images, but could also be the basis for algorithms based on a preliminary cloud classification. / Report code: LiU-Tek-Lic-2004:66.

Intern kontroll fick ökad uppmärksamhet i svenskt näringsliv i och med att en svensk kod för bolagsstyrning (Koden) gavs ut 2004. Att övervaka och bedöma den interna kontrollen är ett komplext och omfattande ansvar som är svårt att överblicka för en enskild styrelseledamot. Viss forskning har bedrivits under 2000-talet inom bolagsstyrning och intern kontroll. Revisionsutskottets möjlighet att säkerställa den interna kontrollen och minska riskerna för felaktigheter i den finansiella rapporteringen har bl.a. studerats. När arbetet med den här avhandlingen påbörjades fanns i huvudsak endast forskning som baserade sig på andra länders regelsystem. Svensk bolagsstyrning har till stora delar påverkats av regelsystemen i de anglosaxiska länderna, men vissa förhållanden är specifika för bolag som är noterade på svenska börser. Det är därför angeläget att studera bolagsstyrning och intern kontroll från ett svensktperspektiv. I avhandling ges en genomgång av Koden och dess formulering av styrelsens ansvar för intern kontroll. Syftet är att undersöka hur tydligt styrelsens ansvar har formulerats i Kodens regelverk samt vilka förutsättningar styrelsen har att följa reglerna. En empirisk studie genomfördes under 2007–2008, då ett 80-tal svenska börsföretag var berörda av Koden. I studien intervjuas tio styrelseledamöter om hur de upplever sitt ansvar för företagets interna kontroll och sin roll gentemot övriga bolagsorgan, dvs. ägarna, företagsledningen och revisorerna. Som ett komplement till intervjuerna analyseras 2007 års internkontrollrapporter för de företag där styrelseledamöterna varit verksamma. När Koden gavs ut hade vare sig regelsättarna eller svenska styrelseledamöter en tydlig bild över innebörden och nyttan av intern kontroll. Tidigare studier om bolagsstyrning visar att det tar tid innan förändringar får genomslag. Även denna studie visar att förändringar sker successivt. I de företag som analyserats pågår ett arbete som syftar till att förbättra den interna kontrollen. För att nå framgång i arbetet har styrelseledamöterna anammat ett pragmatiskt synsätt på sitt ansvar, som till stor del innebär att de förlitar sig på samarbete med företagsledningen. I stället för att utöva strikt kontroll och övervakning, söker styrelseledamöterna skapa en effektiv företagskultur där de  tillsammans med företagsledningen strävar efter en god intern kontroll i bolaget. I likhet med tidigare forskningsresultat visar denna studie att kravet på revisionsutskott medfört att kontakterna mellan styrelsen och revisorerna har underlättats. Mötena i revisionsutskottet ger styrelsen en möjlighet att fördjupa sig i frågor om intern kontroll och finansiell rapportering. Dock saknas mer handfasta riktlinjer om vad revisorernas rapportering på utskottsmötena bör innehålla. Det finns en risk för ett förväntningsgap mellan styrelseledamöterna och revisorerna beträffande rapporteringens innehåll, och på vilket sätt den bör kommuniceras. Studien visar att internkontrollrapporteringen vid de undersökta företagen är alltför generell för att läsaren ska kunna få en uppfattning om företagets riskhanteringsprocess och kontrollåtgärder. Genom att komplettera Kodens Vägledning med förtydligande och metodbeskrivningar för riskbedömning skulle rapporteringen kunna göras mer informativ. Vidare visar studien att Kodens otydliga definition av internrevision återspeglas i styrelseledamöternas uppfattning om internrevisionens roll i internkontrollfrågor. Vare sig Koden eller Kodens vägledning beskriver internrevisionens roll och ansvar eller hur den kan bidra till att ge styrelsen ökad kunskap om bolagets interna kontrollstruktur. Kodens regler baseras på självreglering, vilket möjliggör för styrelsen att frångå reglerna och i stället ge en förklaring till varför dessa inte följs. Det ställs därför krav på att aktörer, såsom investerare, regelsättare och medier, intresserar sig för den information som lämnas eller inte lämnas, i styrelsens internkontrollrapportering. Om ingen efterfrågar informationen eller ställer krav på innehållet kommer intresset att minska, och företagens brist på god intern kontroll kommer endast att få fokus i samband med företagsskandaler.

Resumo: O método de segunda quantificação é utilizado para construir o operador espalhamento S no espaço de Fock, no contexto de Thermofield Dynamics (TFD), para o campo de Dirac sujeito a um potencial eletromagnético externo dependente do tempo. Esta descrição é baseada na abordagem construtiva do espaço de Fock, a qual é aplicada ao sistema original e a seu dual. Seguindo a prescrição de TFD, o operador S é utilizado para avaliar o processo de produção de pares elétron-pósitron à temperatura finita, e uma análise do limiar de produção é feita a partir do cálculo da probabilidade total de transição. / Abstract: The second quantization methods is used to build the scattering operator S in Fock space, in the contex of Thermofield Dynamics (TFD), for the Dirac field subject to an external time-dependent electromagnetic potential. This description is based on the constructive approach to the Fock space, wich is applied to the original system and to its dual. Following TFD prescription, the operator S is used to estimate the process of electron-positron pair production at finite temperature, and an analysis of the production threshold is done based on the calculation of the total transition probability. / Orientador: Jeferson de Lima Tomazelli / Coorientador: Bruto Max Pimentel Escobar / Banca: José David Mangueira Vianna / Banca: Ademir Eugênio de Santana / Banca: Fernando Luiz de Campos Carvalho / Banca: Maria Cristina Batoni Abdalla / Doutor