Aim: The overall aim of the thesis was to explore and describe registered nurses’ (RNs) and certified nursing assistants’ (CNAs) experiences of detection and assessment of pain in older people with cognitive impairment and dementia. A further aim was to evaluate the Abbey Pain Scale-SWE (APS-SWE) in dementia care practice. Methods: An exploratory and descriptive design was used in Study I. An exploratory and interpreting design was used in Study II and Study III. A prospective, descriptive, observational and instrumental design was used in Study IV. Focus group interviews (I) and individual interviews (II, III) were applied to explore and describe RNs’ and CNAs’ experiences of pain assessment in people living with dementia. Qualitative content analysis (I) and philosophical hermeneutics (II) were used to analyse qualitative data. Observation, instrument, and questionnaire were applied to evaluate reliability and face validity of the APS-SWE for pain assessment. Descriptive statistics and reliability analyses were used to analyse quantitative data (IV). Results: RNs in special housing accommodation settings experiences that pain assessment in people with dementia is challenging primarily due to their changed RN consultant role, which to a great extent is directed into administrative and consultative tasks rather than bedside care. This has led to decreased time in daily nursing care, preventing recognising symptoms of pain. This have also led to that RNs are dependent on information from CNAs who are the front-line staff providing daily care (I). CNAs’ perception of signs of pain in people with dementia emerges from being present in the care situation and alertness on physical and behavioural changes that could be due to pain, and from providing the care in a preventive, protective and supportive way to prevent painful situations occurring (II). RNs and CNAs working in home healthcare team use a variety of strategies to detect and assess pain. A trustful work relationship based on staff continuity and a good relation to the person in need of care facilitates pain assessment situations (III). Systematic observation of older people living in special housing accommodation during rest and mobility using the APS-SWE demonstrates that the scale has adequate internal consistency, reliability, and face validity for pain assessment (IV). Conclusions: This thesis found that the RNs’ and CNAs’ detections and assessments of pain rely on solid cooperation, staff continuity, and good knowledge of the person cared for. It was also revealed that there is a lack of using appropriate and assisting pain tools. The APS-SWE show adequate reliability and face validity and can serve as a useful pain tool to assist in detection and assessment of pain in older people who are limited in verbalising pain recognisable. Further evaluation of how the person-centred perspective is applied in pain assessment situations is needed in order to evaluate positive outcomes in people with dementia. Further psychometric evaluation of the APS-SWE in clinical dementia care practice is needed to strengthen validity and reliability.

In remote sensing, the application determines the type of platform and scale used during air or space –borne data collection as the pixel size of the collected data varies depending on the sensor or platform used. Applications involving some cryospheric environments require the use of the microwave band of the electromagnetic spectrum, with snow water equivalent (SWE) studies making use of passively emitted microwave radiation. A key issue in the use of passive microwave remotely sensed data is its spatial resolution, which ranges from 10 to 25 kilometres. The Climate Research Branch division of the Meteorological Service Canada is using passive microwave remote sensing as a means to monitor and obtain SWE values for Canada’s varying land-cover regions for use in climate change studies. Canada’s diverse landscape necessitated the creation of a snow water equivalent retrieval algorithm suite comprised of four different algorithms; all reflecting different vegetative covers. The spatial resolution of small scale remotely sensed data does provide a means for monitoring Canada’s large landmass, but it does, however, result in generalizations of land-cover, and in particular, vegetative structure, which is shown to influence both snow cover and algorithm performance. The Climate Research Branch is currently developing its SWE algorithm for Canada’s boreal forest region. This thesis presents a means of successfully and easily collecting in situ remotely sensed data in the form of hemispherical photographs for gathering vegetative structure data to ground-truth remotely sensed data. This thesis also demonstrates that the Gap Light Analyzer software suite used for analyzing hemispherical photographs of mainly deciduous environments during the spring-fall months can be successfully applied towards cryospheric studies of predominantly coniferous environments.

In remote sensing, the application determines the type of platform and scale used during air or space –borne data collection as the pixel size of the collected data varies depending on the sensor or platform used. Applications involving some cryospheric environments require the use of the microwave band of the electromagnetic spectrum, with snow water equivalent (SWE) studies making use of passively emitted microwave radiation. A key issue in the use of passive microwave remotely sensed data is its spatial resolution, which ranges from 10 to 25 kilometres. The Climate Research Branch division of the Meteorological Service Canada is using passive microwave remote sensing as a means to monitor and obtain SWE values for Canada’s varying land-cover regions for use in climate change studies. Canada’s diverse landscape necessitated the creation of a snow water equivalent retrieval algorithm suite comprised of four different algorithms; all reflecting different vegetative covers. The spatial resolution of small scale remotely sensed data does provide a means for monitoring Canada’s large landmass, but it does, however, result in generalizations of land-cover, and in particular, vegetative structure, which is shown to influence both snow cover and algorithm performance. The Climate Research Branch is currently developing its SWE algorithm for Canada’s boreal forest region. This thesis presents a means of successfully and easily collecting in situ remotely sensed data in the form of hemispherical photographs for gathering vegetative structure data to ground-truth remotely sensed data. This thesis also demonstrates that the Gap Light Analyzer software suite used for analyzing hemispherical photographs of mainly deciduous environments during the spring-fall months can be successfully applied towards cryospheric studies of predominantly coniferous environments.

Bakgrund  Language Assessment Remediation and Screening Procedure, LARSP, är ett protokoll som speglar barns typiska språkutveckling och används för att utföra grammatiska bedömningar av barns spontantal. Rosenberg och Mellenius gjorde en svensk anpassning 2016, Swe-LARSP. Protokollet används inte i klinisk verksamhet idag då en grundlig utvärdering i större skala för svenskspråkiga barn saknas. Steg II-VI har utvärderats genom tidigare examensarbeten. Syfte  Studiens syfte var att kvalitativt utvärdera steg I i Swe-LARSP samt hur det fungerar att samla in och undersöka spontantal hos barn i åldrarna 0;9–1;6 år (år;månad) med inspelningar utförda av vårdnadshavare i hemmiljö. Metod  Studien inkluderade åtta barn inom åldersspannet för steg I, 0;9–1;6 år. Materialet bestod av 15 minuter långa inspelningar av en leksituation utförda av vårdnadshavare. Inspelningarna transkriberades ortografiskt och analyserades enligt Swe-LARSP. Resultat  Resultatet visade att två av tre satstyper på steg I i Swe-LARSP förekom hos de inspelade barnen, varav en i låg frekvens. För den mer högfrekventa satstypen förekom ett element som inte finns med i protokollet hos majoriteten av studiens barn. En satstyp förekom inte hos någon av deltagarna. Slutsatser  Resultatet visade att flera satstyper på steg I förekom i varierande utsträckning hos deltagarna. Adverb och interjektioner förekom hos majoriteten av barnen och kan förslagsvis läggas till på steg I. Att vårdnadshavare haft det ensamma ansvaret att spela in sina barn fungerar som insamlingsmetod, även om den valda inspelningstiden på 15 minuter gav liten mängd analysbar data.

<p dir="ltr">In Global Navigation Satellite Systems Reflectometry (GNSS-R) a critical theme is in un-<br>derstanding and delving into determining specular points, and how to optimize its solutions.<br>The implications are significant for soil moisture, Snow Water Equivalent (SWE), water stor-<br>age, and climate dynamics. For instance, the Signals of Opportunity in P-Band Investigation<br>(SNOOPI) will utilize observations in reference to the specular point to evaluate measurements<br>that could be used to determine water content, soil moisture, and SWE. The focus of this<br>study is presenting and evaluating two prominent methods for determining specular points:<br>the Minimum Path Delay (MPL) and the Unit Difference (UD). Specular point determin-<br>nation presents various challenges which include: surface roughness, temporal and spatial<br>variability, and multipath effects. All of these earth’s surface characteristics pose a challenge<br>for scientists and engineers who wish to collect terrestrial parameters. The analysis in this<br>study offers a comparative approach focusing on data from the simulator for the CubeSat<br>SNOOPI mission is to evaluate specular point determination accuracy as well as offer a real-<br>world application to determine the efficacy of the two methods. Through this evaluation,<br>the researcher aims to improve specular point determination techniques used in the GNSS-R<br>community and offer insights into future techniques and how they can support each other<br>for more precise results.<br></p>

Yes / This study uses an improved k –ε coupled shallow water equations (SWE) model that equipped with the numerical computation of the velocity fluctuation terms to investigate the turbulence structures of the open channel flows. We adapted the Kolmogorov K41 scaling model into the k –ε equations to calculate the turbulence intensities and Reynolds stresses of the SWE model. The presented model was also numerically improved by a recently proposed surface gradient upwind method (SGUM) to allow better accuracy in simulating the combined source terms from both the SWE and k –ε equations as proven in the recent studies. The proposed model was first tested using the flows induced by multiple obstructions to investigate the utilised k –ε and SGUM approaches in the model. The laboratory experiments were also conducted under the non-uniform flow conditions, where the simulated velocities, total kinetic energies (TKE) and turbulence intensities by the proposed model were used to compare with the measurements under different flow non-uniformity conditions. Lastly, the proposed numerical simulation was compared with a standard Boussinesq model to investigate its capability to simulate the measured Reynolds stress. The comparison outcomes showed that the proposed Kolmogorov k –ε SWE model can capture the flow turbulence characteristics reasonably well in all the investigated flows. / The Major State Basic Research Development Program (973 program) of China (No. 2013CB036402)

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La caractérisation du couvert nival en forêt boréale est un élément important pour la compréhension des régimes climatiques et hydrologiques. Depuis plusieurs années, l’utilisation des micro-ondes passives est étudiée pour l’estimation de l’équivalent en eau de la neige (SWE : Snow Water Equivalent) à partir de capteurs satellitaires. Les algorithmes empiriques traditionnels étant limités en forêt boréale, le couplage d’un modèle de transfert radiatif (MTR) micro-onde passive (qui prend en compte les contributions du sol, de la neige, de la végétation et de l’atmosphère) avec un modèle de neige pour l’inversion du SWE semble une avenue prometteuse. La thèse vise donc à coupler un MTR avec le schéma de surface du modèle climatique canadien (CLASS) dans une perspective d’application opérationnelle pour les estimations de SWE à partir de données satellitaires micro-onde à 10.7, 19 et 37 GHz. Dans ce contexte, certains aspects centraux du MTR, dont l’effet de la taille des grains ainsi que la contribution de la végétation sont développés et quantifiés. Le premier aspect étudié dans la thèse concerne l’adaptation du modèle d’émission micro-onde passive DMRT-ML (Dense media radiative transfer theory – multi layer) pour l’intégration d’une nouvelle métrique représentant la taille des grains (surface spécifique des grains de neige: SSA). L’étude basée sur des mesures radiométriques et de neige in situ, montre la pertinence de l’utilisation de la SSA dans DMRT-ML et permet d’analyser le sens physique de l’adaptation nécessaire pour amener le modèle à simuler les températures de brillance (T[indice inférieur B) de la neige avec une erreur quadratique moyenne minimale de l’ordre de 13 K. Dans un contexte du couplage entre le modèle de neige de CLASS et DMRT-ML, un modèle d’évolution de la SSA est ensuite implémenté dans CLASS. Les SSA simulées par le module développé sont validées avec des données in situ basées sur la réflectance de la neige dans l’infrarouge à courte longueur d’onde pour différents types d’environnement. Au niveau de la contribution de la végétation, le modèle γ-ω a été étudié à partir de différentes bases de données (satellite, avion et au sol) en forêt boréale dense. L’étude montre l’importance de la considération de la diffusion (ω) pour l’estimation de l’émission de la végétation, paramètre auparavant généralement négligé aux hautes fréquences. Ensuite, des relations entre les transmissivités et certains paramètres structuraux de la forêt, dont l’indice de surface foliaire (LAI), ont été établies pour des forêts boréales en été. Des valeurs d’albédo de diffusion (ω) ainsi que les paramètres définissant la réflectivité du sol (QH) en forêt boréale ont aussi été inversées. Finalement, les simulations de T [indice inférieur] B issues du couplage du MTR (DMRT-ML, modèle γ-ω, et modèle atmosphérique) avec CLASS (dont les SSA simulées) ont été comparées avec les données AMSR-E sur une série temporelle continue de sept ans. Les premières comparaisons montrent une différence entre les paramètres de végétation (γ-ω) d’été et d’hiver, ainsi qu’une importante contribution des croûtes de glace dans la neige au signal. Les simulations du modèle ajusté montrent une bonne correspondance avec les observations d’AMSR-E (de l’ordre de 3 à 7 K selon la fréquence et la polarisation). Des tests de sensibilité montrent par contre une faible sensibilité du MTR/CLASS au SWE pour des forêts denses et des couverts nivaux épais. Le MTR-CLASS développé pourrait permettre l’assimilation de températures de brillance satellitaires en forêt boréale dans des systèmes opérationnels pour l’amélioration de paramètres de surface, dont la neige, dans les modèles météorologiques et climatiques.

Submitted by Ricardo Cedraz Duque Moliterno (ricardo.moliterno@uefs.br) on 2017-08-08T22:07:22Z No. of bitstreams: 1 dissertacao-versao-final.pdf: 2533927 bytes, checksum: e67082a909ebc3ec8a6260095b8ba929 (MD5) / Made available in DSpace on 2017-08-08T22:07:22Z (GMT). No. of bitstreams: 1 dissertacao-versao-final.pdf: 2533927 bytes, checksum: e67082a909ebc3ec8a6260095b8ba929 (MD5) Previous issue date: 2017-04-05 / The sustainability and the renewable energies are strongly discussed and their relevance in the global community should not be discarded, after all, natural resources are limited. The problems related to the misuse and exhaustion of these resources, besides the emission of gases, occurs mainly within the cities where the majority of the human activities are developed. For this reason, among others, the interest in monitoring climatic factors within cities is growing around the world. Our objective is to identify and classify Local Climate Zones in urban areas of Feira de Santana and propose a local scale sensing infrastructure. In order to achieve the proposed target, it was necessary to explore meteorological observation methods at urban sites; establish a raw data access service and an interface for end users; and to develop a meteorological station capable of measuring the investigated parameters representatively in the urban context. Of the existing methods for classification of urban sites, we used Local Climates Zones proposed by Stewart and Oke in a universe of thirty-five sites spread throughout the city of Feira de Santana. The procedure was carried out in three stages, where temperature and humidity data were first collected using the Arduino platform; in addition to observing and evaluating afforestation, buildings (types, height, spacing and material), types of surface, width of streets, traffic of vehicles and human activity. We adopted as parameter a radius of 500m for thermal source area. As result, we obtained the sites classification, constructed two tables and a map to expose the collected data and observations made identifying each site and its class. In order to fulfill the goal of developing a station adapted to the urban environment, we propose in this work the logical organization of a framework that defines the collection of data by automatic low-cost stations connected to the internet, and the visualization of this data by means of the 52? North SOS. For the construction of the prototype stations, we take into account the sensing of temperature and humidity only for demonstration of the framework, being possible to include more types of sensors in the future. The procedure adopted for the construction took into account the exposure criteria of the WMO temperature and humidity sensors, ensuring that the measured data are relevant to the urban climate. At the end of the application of this methodology, we reached a prototype that implements the proposed framework also using the Arduino platform. All generated source code was made available in a public repository under free software license. Analyzing the descriptions of the sites studied in this work, we noticed some characteristics that make up the city of Feira de Santana in general. As for the proportion of selected Local Climate Zones, the class that best represents Feira de Santana is the Compact low-rise (LCZ 3) evaluated in 40% of the studied sites. In addition, the spatial arrangement of the zones with this classification is very homogeneous in the sense of proximity and adjacencies. We have identified serious sanitation problems that are clearly observed in the absence of sewage and water drainage. The stations were originally developed by us following the guidelines of WMO and Oke, and we achieved a low cost construction using open hardware. / A sustentabilidade e as energias renov?veis s?o assuntos fortemente discutidos e sua relev?ncia na comunidade global n?o deve ser descartada, afinal os recursos naturais s?o limitados. Os problemas relacionados ao mau uso e esgotamento desses recursos, al?m da emiss?o de gases, ocorre principalmente dentro das cidades onde se desenvolvem a maioria das atividades humanas. Por esse motivo, entre outros, o interesse em monitorar fatores clim?ticos dentro das cidades est? crescendo em todo o mundo. Nosso objetivo ? identificar e classificar Zonas de Clima Local em s?tios urbanos de Feira de Santana e propor uma infraestrutura de sensoriamento em escala local. Para alcan?ar a meta proposta, foi necess?rio explorar m?todos de observa??o meteorol?gica em s?tios urbanos; estabelecer um servi?o de acesso aos dados brutos e uma interface para usu?rios finais; e desenvolver uma esta??o meteorol?gica capaz de mensurar os par?metros investigados de forma representativa no contexto urbano. Dos m?todos existentes para classifica??o de s?tios urbanos, utilizamos Zonas de Climas Locais proposto por Stewart e Oke em um universo de trinta e cinco s?tios espalhados pela cidade de Feira de Santana. O procedimento foi realizado em tr?s etapas onde primeiramente foram coletados dados de temperatura e umidade utilizando a plataforma Arduino; al?m de observar e avaliar arboriza??o, constru??es (tipos, altura, espa?amento e material), tipos de superf?cie, largura das ruas, tr?fego de ve?culos e atividade humana. Adotamos como par?metro um raio de 500m para ?rea de fonte t?rmica. Como resultado, obtivemos a classifica??o dos s?tios e constru?mos duas tabelas e um mapa para expor os dados coletados e observa??es realizadas identificando cada s?tio e sua referida classe. A fim de cumprir a meta de desenvolver uma esta??o adaptada para o ambiente urbano, propomos neste trabalho a organiza??o l?gica de um framework que define a coleta dos dados por esta??es autom?ticas de baixo custo conectadas ? internet, e a visualiza??o desses dados geoespacializados atrav?s do 52? North SOS. Para a constru??o do prot?tipo das esta??es levamos em considera??o a coleta de temperatura e umidade apenas para efeito de demonstra??o do framework, sendo poss?vel a inclus?o de mais tipos de sensores no futuro. O procedimento adotado para a constru??o das esta??es levou em considera??o os crit?rios de exposi??o dos sensores de temperatura e umidade da WMO garantindo que os dados medidos s?o relevantes para o clima urbano. Ao final da aplica??o desta metodologia, alcan?amos um prot?tipo que implementa o framework proposto tamb?m utilizando a plataforma Arduino. Todo c?digo-fonte gerado foi disponibilizado em reposit?rio p?blico sob licen?a de software livre. Analisando as descri??es dos s?tios estudados neste trabalho, percebemos algumas caracter?sticas que comp?em a cidade de Feira de Santana de forma geral. Quanto ? propor??o entre as Zonas de Clima Local elegidas, a classe que melhor representa Feira de Santana ? a compacta de baixa eleva??o (LCZ 3) avaliada em 40% dos locais estudados. Al?m disso a disposi??o espacial das zonas com esta classifica??o ? bem homog?nea no sentido de proximidade e adjac?ncias. Identificamos s?rios problemas de saneamento b?sico que s?o claramente observados na falta de esgotos e escoamento de ?gua. As esta??es de coleta foram originalmente desenvolvidas por n?s seguindo as diretrizes da WMO e Oke, e alcan?amos uma constru??o de baixo custo utilizando hardware aberto.

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