An evidence synthesis group has worked under the auspices of the DEC Recommended Practices Commission with assistance from ECTA to develop systematic and replicable procedures and guidelines for synthesizing research evidence supporting the DEC recommended practices. This session presents the guidelines, illustrations, and impacts of syntheses completed to date.

Idag står mänskligheten inför stora förändringar i klimatet, men en ansträngning från alla kan dessa förändringar motverkas. Detta examensarbete är en påpekning som kan leda till en bättre miljö.   Syftet med examensarbetet är att i samverkan med företaget Lönn Energi undersöka och analysera kända köldbryggor i två småhus. Som ligger i närheten av Gävle och jämföra köldbryggsandelen i husen med schablon-påslaget om 20%.  Det som ska beräknas är andelen linjära köldbryggor i förhållande till värmegenomgångskoefficienten, Som resultat visar arbetet att för de två husen som undersöktes att andelen köldbryggor i förhållande till Um går på 4,5% för huset i Årsunda och 8,4% för huset i Lingbo. / Today, humanity is facing major climate changes, but with the efforts of all, these changes can be prevented. This thesis work is a remark that can lead to a better environment.  The purpose of the thesis is to investigate and analyze known thermal bridges in two single-family houses which is located near Gävle. And to compare the thermal bridges percentage in the houses with the recom-mended addition of 20 % in collaboration with Lönn Energi.   As a result, the work shows that for the two houses examined the propor-tion of thermal bridges in relation to heat transfer coefficient Um is 4.5% for the house in Årsunda and 8.4% for the house in Lingbo.

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Die Broschüre „Barrieren des Demografiemanagements überwinden und Wandel erfolgreich gestalten“ beinhaltet mit dem Barriereanalysetool einen Selbstcheck, mit dem Unternehmen testen können, welches Bewusstsein für das Demografiemanagement in ihrem Unternehmen herrscht und welche Instrumente des Demografiemanagements angewendet werden. Anhand der Auswertung des Selbstchecks können die Unternehmen ablesen, welche Relevanz die demografischen Entwicklungen (u.a. Fachkräftemangel, alternde Belegschaft) in ihrem Unternehmen aktuell haben. Darüber hinaus werden praktische Handlungsempfehlungen und Tipps für weitere Aktivitäten in dem jeweiligen Themengebiet vorgestellt.

The title of the thesis: Food supplements and their use by people attending fitness centers The aim of the thesis: The aim of the thesis is to collect information about food supplements and determine which food supplements are the most frequently used in fitness centers. The methods of the thesis: By the controlled interview to determine what types of food supplements are the most frequently used by people attending fitness centers. The results of the thesis: The majority of people visiting fitness centers use some kind of food supplements. Keywords: food, macronutrients, micronutrients, supplements, fitness center, recommended daily doses.

One of the hallmarks of being a professional field of practice with a united commitment to a competent and accountable workforce is having a set of agreed upon practice standards that guide practitioners and families about the most effective ways to improve learning and enhance outcomes for young children and their families. The 2014 DEC Recommended Practices represent the practice standards for EI/ECSE. DEC seeks your input and involvement with the dissemination and product development plan to ensure that the 2014 DEC Recommended Practices are understood and implemented across the broad field of early childhood, including Head Start, public pre-k, early care and education, and family support. Share your perspective, brainstorm with colleagues, and strengthen dissemination efforts.

DEC seeks your input and involvement with the disseminiation and product development plan to ensure that the 2014 recommended practices are understood and implemented across the broad field of early childhood. Share your perspective, brainstorm with colleagues, and strengthen dissemination efforts.

<p>In this study, Artificial Neural Network (ANN) is used to check the integrity of the Global Positioning Recommended Minimum (GPRMC) sentences. The GPRMC sentences are the most common sentences transmitted by the Global Positioning System (GPS) devices. This sentence contains nearly every thing a GPS application needs. The data integrity is compared on the basis of the classification accuracy and the minimum error obtained using the ANN. The ANN requires data to be presented in a certain format supported by the learning process of the network. Therefore a certain amount of data processing is needed before training patterns are presented to the network. The data pre processing is done by the design and development of different algorithms in C# using Visual Studio.Net 2003. This study uses the BackPropagation (BP) feed forward multilayer ANN algorithm with the learning rate and the momentum as its parameters. The results are analyzed based on different ANN architectures, classification accuracy, Sum of Square Error (SSE), variables sensitivity analysis and training graph. The best obtained ANN architecture shows a good performance with the selection classification of 96.79 % and the selection sum of square error 0.2022. This study uses the ANN tool Trajan 6.0 Demonstrator.</p>

In this study, Artificial Neural Network (ANN) is used to check the integrity of the Global Positioning Recommended Minimum (GPRMC) sentences. The GPRMC sentences are the most common sentences transmitted by the Global Positioning System (GPS) devices. This sentence contains nearly every thing a GPS application needs. The data integrity is compared on the basis of the classification accuracy and the minimum error obtained using the ANN. The ANN requires data to be presented in a certain format supported by the learning process of the network. Therefore a certain amount of data processing is needed before training patterns are presented to the network. The data pre processing is done by the design and development of different algorithms in C# using Visual Studio.Net 2003. This study uses the BackPropagation (BP) feed forward multilayer ANN algorithm with the learning rate and the momentum as its parameters. The results are analyzed based on different ANN architectures, classification accuracy, Sum of Square Error (SSE), variables sensitivity analysis and training graph. The best obtained ANN architecture shows a good performance with the selection classification of 96.79 % and the selection sum of square error 0.2022. This study uses the ANN tool Trajan 6.0 Demonstrator.