Bees are of importance for the global food security. In Europe 84% and in the World 35% of all the agricultural crops are dependent of animal pollination (Winfree et al., 2011:1). In agricultural production there is a huge lack of pollinators (Azien & Harden, 2009). A problem that is widely spread. In Sweden the problem becomes clear when looking at the statistics of the number of bee colonies during the last 20 years, where it has been a decline with 63 % (Statistiska Centralbyrån & Jordbruksverket, 2011).

The vertical electronic excitation energies for the narrow-bandgap polymers LBPF, EP37 and EP62 have been calculated using Density Functional Theory (DFT). Also the vertical excitation energies for the acceptor unit of LBPF have been calculated using the Hartree-Fock (HF), DFT and Coupled Cluster (CC) methods. The calculations cover the visible and infrared wave length region and two strong transitions are obtained, one corresponding to the pi to pi* transition and one corresponding to the pi to Acceptor transition. The excitation energies obtained from DFT are below the corresponding experimental results and attempts have therefore been made to perform bench-marking calculations using a hierarchy of CC methods..

The purpose of this thesis is to evaluate the combination of bibliographic coupling and three hierarchical cluster analytic techniques: average, complete and single linkage. Bibliographic coupling is applied as a measure of similarity between recently published articles and the cluster techniques are used for the partition of a set of articles into subsets of articles with similar research focus. The field of information science is applied as the test arena and the selection of data, i.e., the article population to be partitioned, is based on a number of central journals. Methods of evaluation include both quantitative approaches as well as a qualitative one. For comparing the resulting partitions, adjusted Rand index is utilized and for the establishment of cluster coherence and isolation, measures of average normalized coupling strength is applied.

In Economic Geography, there has been a strong interest of how different forms of proximity impacts businesses. In addition, there is also a strong interest in business agglomeration, as a result businesses cluster together through physical proximity, networks and knowledge. In the development sector, there is a strong interest on how to best support the creations and growth of small enterprises.This essay emphasises on the business cluster formations in Katutura, a suburb to Windhoek the capital city of Namibia. It oversees the impacts of different types of cluster formations and their effects on the businesses. In addition, this essay will identify the main clusters in Katutura and state what makes them unique from each other and what is a common cluster feature.

The aim of this thesis is to examine one part of Amazon.coms recommender systems: Similar Items. The purpose is also to show the difficulties with subject access, i. e. to find a similar book to the one you just read; problems with traditional systems versus the usefulness with recommender systems like Amazon.coms Similar Items. Similar Items presents a set, a cluster of related items to a given item based on customers co-purchase.

The purpose of my study is to study Social Democrats immigration policy over the period 1990 and 2013. My material consists of party programs and motions that social democracy has raised in Parliament. As a research method I used McGee´s ideograph theory. I use a cluster analysis inspired by Kenneth Burke to analyze the meaning of those found ideographs. I also present and use Bitzers rhetorical situation in my analyzeWith help of Burke´s rhetorical situation I could see how the Social Democrats' rhetorical approach to immigration policy in the different periods in society.My investigation of the Social Democratic Party program and motions / propositions revealed the following ideographs: Democracy, solidarity, equality and freedom.

This master thesis investigates attitudes toward electronic publishing of fiction among the key participants authors and publishers in Sweden with the overall purpose of analysing the nature of these attitudes and what sort of tensions that exist between the two groups. The major areas of concern were formulated as: what sort of attitudes do authors and publishers display toward electronic publishing of fiction?, how do these attitudes affect the way the two groups relate to electronic publishing and to each other? and how do they perceive the future of this practice?. Everett Rogers diffusion of innovations theory was applied to characterise electronic publishing as an innovation cluster, and to investigate innovation attributes in form of relative advantages and disadvantages, compatibility, complexity, trialability and observability. Data was gathered using quantitative questionnaires, but respondents were also given the opportunity to elaborate freely on some of the questions.

Tidigare forskning har visat att det finns ett stort intresse bland unga i Sverige att starta företag. Det har också uppenbarats att det finns brister i ungas kunskaper om företagande och entreprenörskap, och de vet inte heller hur de skall gå tillväga för få den kunskapen. De faktorerna påverkar ungas företagande negativt och hämmar dem i deras önskan om egenföretagande. Syftet med denna uppsats är att undersöka vilka specifika faktorer som hindrar unga från att starta företag, det vill säga vilka osäkerheter de upplever i den industriella omgivningen och hur de kan hanteras. I ett försök att finna metoder som hjälper unga att hantera de osäkerheter som upplevs har jag undersökt hur klusterteorin kan underlätta företagandet.

This paper aims to map and contrast the research front and theresearch base of Library and Information Science (LIS) inScandinavia during 1980-1989 and 2003-2013 from articlespublished in Web of Science.The research questions are:1. How is the research base and research front in LIS inScandinavia between 1980-1989 and 2003-2012 structured?2. What differences can be observed between the two time periods1980-1989 and 2003-2012 with regards to the research base?3.

The aim of this study is to analyze and describe the research front within information science. To reach this purpose we ask the following research question: Which research themes can be identified within the subject field of information science by using bibliographic coupling in combination with cluster analysis.The data for our study consists of articles from the journals Journal of the American Society for Information Science and Technology and Journal of Documentation throughout the years 2004-2006. The bibliographic information from the articles was analyzed with the combined methods of bibliographic coupling and cluster analysis. This gave fifteen clusters within which we identified research themes. When analyzing these results we found four main fields of research within the research front of information science: Information retrieval, bibliometrics, knowledge organization and information science as research discipline.

Vår uppsats undersöker, om hur möjligheterna för utbyte av information samt samarbete mellan Telecom Citymedlemmarna kan förbättras, med ändamålet att stärka deras konkurrenskraft gentemot externa konkurrenter..

The purpose of this Masters thesis is to analyze the research front within medical ethics. We wish to identify which research themes that are included in the subject field of medical ethics. The research themes can be identified by a couple of bibliometrical methods and techniques. In our case, it is bibliographic coupling combined with a cluster analysis. The analysis is accomplished by the extracted references from articles in the two journals Bioethics and Journal of medical ethics.

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.

The main objective of this study is to divide a number of colorectal cancer cases into subgroups based on their molecular features using cluster analysis. The data used is supplied by a research group at Pathology, the Department of Medical Biosciences, Umeå University, and consists, after some preparation, of 455 observations which is a larger data set than many similar studies. The molecular variables that the clustering is based on are CIMP (CpG Island Methylator Phenotype), MSI (Micro Satellite Instability), BRAF- and KRAS-mutations. These are categorical variables and consequently the clustering method used is PAM (Partitioning Around Medoids) which is particularly useful with data on diverse variable level. The final analysis results in four subgroups that are represented by different combinations of attributes on the aforementioned variables.