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Institute
This paper set out to determine what the effect of daily internet usage on a short attention span was and whether this had an effect on academic performance. As described briefly in the introduction this paper consisted of laying the groundwork through defining the relevant terminology, applying the methodology to the Hypotheses and making conclusive statements.
Two Hypotheses were presented to give the paper the aim. While Hypothesis 1 can be proven true through the two-step terminology applied, Hypothesis 2 does not stand up to the scrutiny. For lack of sufficient and specific evidence, the only conclusive statement that can be made regarding it is that it is untrue.
Approx. 80% of the population sample analysed were between the age of 19 – 30 which automatically reduces the analysis, extrapolations and scientific statements to a more specific age group. The other ages represented were almost all above, meaning that the findings could not accurately be applied to older age groups.
Nonetheless, the data collected was accurate and good be applied to prove Hypothesis 1, meaning that daily internet usage breeds and invites a short attention span. For lack of a fitting data collection method, physcial, social, mental factors along with motivation of an individual make up his academic performance. These were factors that could not be taken into consideration.
Conclusively, the author predicts that a present internet connection coupled with the growing popularity of digital technology attention spans will contin ue to stay as short as they are. Individuals will find ways to direct their short attention span where it is needed and apply it as necessary.
The voluntary international blog VaultingNews exists for two years now. Meanwhile the
team grew and the costs increased. This thesis is a collection of tools, which can help
to improve the communication of the team members who are spread all over the world
and introduces monetization ideas where the focus lies on establishing an online fan
shop based in Germany. This chapter results in a check list which laws have to be
observed.
The bachelor thesis is about cis-trans isomerization of Xaa-Pro (Xaa = any amino acid), their quantitative acquisition and the selection of 3D structure information for the prediction with a support vector machine (SVM). The quantitative detection of occurrence of cis-, trans- and cis/trans conformation in membrane proteins will be examined and evaluated. The 3D structure informa-tions include 12 features, the amino acids around proline and are including of proline. These include the inside/outside classification, the real secondary structure, energy consideration, as well as five further amino acid occur properties within a defined radius of the proline. From this information, a data set was created for the SVM. This program is used for the prediction of unknown and known Xaa Pro Isomerisms. The methods for the analysis were implemented with the platform independent programming language Java. Two programs have emerged from the work to a Xaa PIPT for the quantitative detection and extracting structural information and m Xaa-PIPT to the pure prediction of Xaa-Pro isomerism in protein structures. 389 Membrane proteins from the PDB (Protein Data Bank) served as a basis. The data were also statistically analysed and evaluated.
This work concentrates on the frequently used marketing instrument brand personality. Its effect on the consumer and how it drives consumer behaviour through TV advertis-ing are the focus. Scientific material, utilising research results of the last 20 years, has been analysed to investigate this subject. Furthermore, the example of Southern Comfort provides an insight of brand personality being applied to the real world of marketing business.
In this work, the task is to cluster microarray gene expression data of the cyanobacterium Nostoc PCC 7120 for detection of messenger RNA (mRNA) degradation patterns. Searched are characteristic patterns of degradation which are caused by specific enzymes (ribonucleases) allowing a further biological investigation regarding biochemical mechanisms. The mRNA degradation is part of the regulation of gene expression because it regulates the amount and longevity of mRNA, which is available for translation into proteins. A particular class of RNA degrading enzymes are exoribonucleases which degrade the molecule from its ends, whereby a degradation from the 5’ end, the 3’ end or from both ends is theoretically possible.
In this investigation, the information about exoribonucleolytic degradation is given in a microarray data set containing gene expression values of 1,251 genes. The data set provides gene expression vectors containing the expression values of up to ten short distinct sections of a gene ordered from the genes 5’ end to its 3’ end. For each gene, expression vectors are available for both nitrogen fixing and non-nitrogen fixing conditions, which have to be considered separately due to biological reasons. Accordingly, after filtering and preprocessing, two datasets for clustering are obtained consisting of 133 ten-dimensional expression vectors. The similarity of the expression vectors is judged by a newly correlation based similarity measure and compared with the results obtained by use of the Euclidean distance. A non-linear transformation of the correlations was applied to obtain a dissimilarity measure. By choice of parameters within this transformation a user specific differentiation between negative and positive correlated gene expression vectors and an adequate adjustment regarding the noise level of gene expression values is possible.
Clustering was performed using Affinity Propagation (AP). The number of clusters obtained by AP depends on the so-called self-similarity for the data vectors. This dependence was used to identify stable cluster solutions by self-similarity control. To evaluate the clustering results, Median Fuzzy c-Means (M-FCM) was used. Further, several cluster validity measures are applied and visual inspections by t-distributed Stochastic Neighbor Embedding (t-SNE) as well as cluster visualization are provided for mathematical interpretation analysis of clusters.
To validate the clustering results biologically, the found data structure is checked for biological adequacy. A deeper investigation into the mechanisms behind mRNA-degradation was achieved by use of a RNA-Seq data set. Contained 40 (base pair) bp long reads for non-nitrogen fixing and nitrogen fixing conditions were assembled using bacteria-specific ab-initio assembly of Rockhopper. Thus, mRNA (transcript)-sequences of the clustered genes are obtained. A further investigation of the untranslated regions (UTRs) is performed here due to the assumption that exoribonucleases recognize specific transcript-sequences outside of the annotated gene regions as their binding sites. These UTRs need to be analyzed regarding sequence similarity using motif-finding algorithms.
The main purpose of this thesis is to investigate factors influencing the buying decision of cigarette smokers. To achieve this, different theories concerning consumer buying behavior and factors influencing have been discussed to achieve a deeper understand of consumer behaviour. To enable me comprehend the influence factors that influence the buying decision of a smoker as a consumer, a survey with questionnaires was performed. The results of the survey indicates that brand awareness, quality of the tobacco, price, packaging, advertisement, influence by others and availability are the major factors influencing the buying decision of a smoker, with availability, quality, price and brand awareness having the most effective influence on a smoker.
This study explores the opportunities and risks associated with user-generated content (UGC) in the communication strategies of marketing departments from a business perspective. With the rise of social media and online platforms, UGC has become a powerful tool for brands to engage with their audience, build trust, and enhance brand awareness. However, implementing UGC also comes with inherent risks, including the loss of control over brand messaging, potential negative user-generated content, and legal implications.
To investigate these dynamics, an empirical mixed-methods approach was employed, including expert interviews and a comprehensive literature review. The findings indicate that UGC offers significant opportunities for marketing departments, such as increased customer loyalty, enhanced authenticity, brand awareness, as well as a diverse set of possible content. However, the study also reveals the potential risks associated with UGC, highlighting the importance of managing these risks effectively.
The Blockchain is a technology which has the capabilities to change the way, the world operates. As promising as this may be, there are still many challenges which do not exist or are way simpler to solve in conventional software solutions. Services which are offered over the blockchain suffer from so called Block-confirmation-times where the customer simply has to wait till the transaction is confirmed. In this paper possible solutions to that problem will be examined and challenges that arise from the specific criteria of the Ethereum Blockchain will be analyzed.