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Thіs bachеlоr thеsіs was еxеcutеd fоr Іntеrpіpе cоmpany and іt cоncеntratеs оn іts busіnеss stratеgy оn іntеrnatіоnal markеts, еspеcіally оn Mіddlе Еastеrn pіpеs markеt. Chооsіng an іnapprоprіatе еntry busіnеss stratеgy can lеad tо sіgnіfіcant nеgatіvе cоnsеquеncеs, busіnеss stratеgy sеlеctіоn оn іntеrnatіоnal markеts іs оnе оf thе mоst crіtіcal dеcіsіоns іn іntеrnatіоnal tradе systеm. Thе thеоrеtіcal framеwоrk оf thе bachеlоr thеsіs іs prоvіdеd іn thе sеcоnd chaptеr, whіch was maіnly cоllеctеd by dеsktоp studyіng. Thе thеоry rеvіеw cоntaіns dеscrіptіоn оf varіоus fоrеіgn markеt stratеgіеs, mеthоds and mеchanіsms оf dеcіsіоn-makіng, lеvеls and typеs оf busіnеss еnvіrоnmеnt. A cоmbіnatіоn оf thеоrіеs іs adоptеd tо facіlіtatе thе prоcеss оf gathеrіng thе rеquеstеd іnfоrmatіоn. Thе thіrd chaptеr cоntaіns іnfоrmatіоn abоut Іntеrpіpе Cоmpany und іt´s еcоnоmіc actіvіty іn thе hоst cоuntry and abrоad. Gеnеral іnfоrmatіоn abоut Іntеrpіpе Cоmpany, іts currеnt pоsіtіоn, busіnеss dеvеlоpmеnt stratеgy fоr 2015-2016 yеars arе prеsеntеd. Thе sіtuatіоn оn thе pіpеs and whееls markеt іn Ukraіnе durіng thе pеrіоd 2014-2015 was analyzеd and оn accоunt оf thіs thе rеasоns оf dеclіnе іn prоfіts and salеs wеrе еducеd. Cоіncіdеntly thе pеnеtratіоn fоrms оf Іntеrpіpе Cоmpany tо fоrеіgn cоuntrіеs wеrе cоnsіdеrеd. Іn thіs rеgard thе mоst succеssful еntry fоrms arе suggеstеd tо bе accеptеd as thе maіn kеy stratеgy оf pеnеtratіоn tо thе іntеrnatіоnal markеt. Thе fоrth chaptеr prоvіdеs thе іnfоrmatіоn abоut thе cеrtaіn apprоach оf pеnеtratіоn оf Іntеrpіpе Cоmpany tо thе Mіddlе Еastеrn pіpе markеt. Thе purpоsе іs tо іncrеasе thе numbеr оf dеlіvеrіеs tо оіl and gas cоmpanіеs іn thіs rеgіоn and cоntіnuе еstablіshіng оf іts rеlatіоns wіth kеy agеnts and dіstrіbutоrs. Thе prоjеct aіms tо еlеvatе currеnt pоsіtіоn оf thе еntеrprіsе оn Mіddlе Еastеrn pіpеs markеt and adjust advantagеоus іntеrnatіоnal rеlatіоns fоr bоth cоuntеrparts. Data іs cоllеctеd frоm varіоus sоurcеs, іncludіng: bооks and jоurnals іn thе thеоrеtіcal framеwоrk, nеwspapеrs, cоmpany’s publіshеd rеpоrts, prеss rеlеasеs, catalоguеs, bullеtіns, brоchurеs, prеsеntatіоn, Іntеrnеt rеsоurcеs еtc. іn thе еmpіrіcal study.
This thesis aims to research the platform YouTube and whether “being a YouTuber” qualifies as a profession or not and what leads to this. The author combines existing scientific data and information provided by YouTubers doing this as a job and uses the compilation method. The author merges that material and uses it to create a bachelor thesis that covers both the theoretical and practical approach. The aim was to find out if there is a success recipe that can be followed that leads to views and clicks which are essential for the profession as a YouTuber. To do this, the author created two channels to see how the factors mentioned in this thesis are applied and if the approach leads to success. The findings of this thesis showed, that although the profession of a YouTuber can be classified as a job, it needs to be viewed differently from commonly known and in society accepted careers. Becoming a YouTuber and making money from this business, therefore, cannot be guaranteed.
Workload Optimization Techniques for Password
Guessing Algorithms on Distributed Computing Platforms
(2019)
The following thesis covers several ways to optimize distributed computing platforms for cryptanalytic purposes. After an introduction on password storage, password guessing attacks and distributed computing in general, a set of inital benchmark results for a variety of different devices will be analyzed. The shown results are mainly based on utilization of the open source password recovery tool Hashcat. The second part of this work shows an algorithmic implementation for information retrieval and workload generation. This thesis can be used for the conception of a distributed computing system, inventory analysis of available hardware devices, runtime and cost estimations for specific jobs and finally strategic workload distribution.
In this thesis, the changes in economy and society and the resulting effects on the labor market are being outlined. Current studies show that the shrinking labor market and the increasing digitalization result in a lack of skilled tech talent and a transition from an employer market to a clear employee market. Derived from the findings of the scientific research on this topic and conducted expert interviews, practical recommendations for recruitment actions within the scope of employer branding will be defined in order to help corporations to gain the needed tech skill set and drive innovation.
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.
This paper explores the origins of Maori images in New Zealand film history. Discussing the history of Maori and their society brings us closer to a, once almost extinct, race and its struggle for self-representation and self-governance. By taking an in-depth look at New Zealands film history we get to understand how Maori were the subject of the earliest films and at what time they started making their own films. Combining those elements gives us the opportunity to understand how early images of Maori were created by Pakeha directors. By looking at different films throughout film history shows how Maori images evolved in time, especially when Maori started depicting themselves. This paper not only answers questions about Maori images in film but also tries to make people realise what odds Maori had to overcome in their daily struggle for selfdetermination.
The following is a description and outline of the work done at the Cornell Lab of Ornithology developing Nation Feathers VR, a virtual reality game for learning about bird calls and songs. The goal was to develop a game which is intuitive, educational and entertaining. Furthermore, the software needed to be structured in a way that allows for feasible future expansion. This required careful data saving and retrieval. The game gives the player an opportunity to learn and apply that knowledge, all while maintaining a shorter runtime in order to reduce the total time spent in the virtual world. This is meant to prevent any discomfort to the player that may result from extended use of the VR headset.
The number of Internet of Things (IoT) devices is increasing rapidly. The Trustless Incentivized Remote Node Network, in short IN3 (Incubed), enables trustworthy and fast access to a blockchain for a large number of low-performance IoT devices. Although currently IN3 only supports the verification of Ethereum data, it is not limited to one blockchain due to modularity. This thesis describes the fundamentals, the concept and the implementation of the Bitcoin verification in IN3.
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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.
In the following study the properties of the superabsorbent polymer Broadleaf P4 were investigated according to the aim to apply that polymer within constructed wetlands. The application of the polymer in constructed wetlands shall result in an improvement of the removal of pesticides. For that the polymer was given into lab-scale wetlands together with pumice and were compared to a control wetland, which was filled with gravel. The wetlands were running for several weeks in which the nutrient removal was recorded. The polymer was also tested according to its property to adsorb the pesticides before adding the pesticides to the wetland beds.
In this thesis, we implement, correct, and modify the compartmental model described in “Transmission Dynamics of Large Coronavirus Disease Outbreak in Homeless Shelter, Chicago, Illinois, USA, 2020”. Our objective is to engage in reading and understanding scientific literature, reproduce the results, and modify or generalize an existing mathematical model. We provide an overview of epidemiological models, focusing on simple compartmental SEIR models. We correct inaccuracies and misprints in the original implementation and use the limited-memory Broyden–Fletcher–Goldfarb–Shanno algorithm to fit the model’s parameters. Furthermore, we modify the model by introducing an additional compartment. The resulting model has a more intuitive interpretation and relies on fewer assumptions. We also perform the fitting process for this alternative model. Finally, we demonstrate the advantages of our modified implementations and discuss other possible approaches.
Tokenization projects are currently very present when it comes to new blockchain technologies. After explaining the fundamentals of cross-chain interaction, the bachelor thesis will focus on tokenizing technology for Bitcoin on Ethereum. To get a more practical context, implementing the currently most successful decentralized tokenization project is described.
In this work a new method for the prediction of the Xaa-proline (where Xaa is any amino acid) cis/trans isomerization was investigated. By extraction of twelve structural features (real secondary structure, inside/outside classification, properties of the environment around proline and proline itself) a support vector machine (SVM) based prediction approach was evolved. The Java software Xaa-PIPT for structural feature extraction was developed. Based on 4397 (2199 cis and 2198 trans) prolines extracted from non-redundant, globular proteins a classifier was trained using the radial basis function (RBF) kernel. In ten-fold cross-validation it achieved an accuracy of 70.0478 % and a Matthews correlation coefficient (MCC) of 0.4223, a sensitivity of 0.5433 and a specificity of 0.8576. Based on this classifier a lightweight and easy-to-use Java software tool, called m Xaa-PIPT, for the prediction of the Xaa-proline cis/trans isomerization was devel-oped. It was shown that there are correlations between the proline surrounding environment and the isomerization state. m Xaa-PIPT can be used for the evaluation of low-resolution protein structures and theoretical models to improve their quality by the prediction of the Xaa-proline isomerization.
The Media System of Malawi
(2010)
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The research of this thesis aims to analyze how a specific CSR approach from the Adidas Group on sustainability is perceived globally based on an analysis of the movements on the stock market combined with a sentiment analysis of tweet activities on Twitter. The thesis analyzed both positive feedback and critic from customers worldwide regarding the approach and other initiatives from the Adidas Group and their partner Parley for the Oceans, a non-governmental organization working towards a more sustainable world.
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.
Where does the cocoa, which we consume on a regular basis, come from? Supply chains are not always transparent, much less easily comprehensible. The cocoa industry faces ongoing challenges. Whether it be the chocolate manufacturers’ promise to maintain a sustainable and ethical supply chain, the minimal impact on the environment or the maximum adherence to human rights in their production process. This paper revises important steps which lead to the compliance with UN standards and questions the role of consumers in the construct of ethical chocolate products.
This thesis proposes a solution to the practical problem of supervising relatively basic mechanic processes in robotics by means of computervision. Supervision happens by comparing the tracked movement with a known, ideal recording of the movement that acts as a model.
First, this thesis analyzes possible approaches to the problem regarding data structures and representation, ways of extracting the data from the recording and ways to compare the data sets of two recordings. Then, a specific solution is implemented in C++ and explained.
Success story DAB in the UK
(2017)
The popularity of digital audio broadcasting in different countries can be explained mainly by means of historical development. In this work, the general technical conditions are explained and the mode of operation is explained. In addition, advantages, disadvantages and alternatives are presented. After that, the development of the digital radio in Germany and the UK is compared with the current situation in order to show how the differences have led to a different distribution and acceptance of the medium.
The subject of the following paper is the analysis of global company motives for taking on sport sponsorships as a corporate social responsibility (CSR) initiative. This work is compilatory in nature because it is derived from literature released by experts as well as real-life case studies. The expert literature provides a basis of theories and models regarding the fundamental motives for CSR and sport sponsoring and visualizes them by means of statistics and real-life case studies. This paper aims to inform individuals, leaders and specifically global organizations about the benefits that taking on a sport sponsorship may have for fulfilling a company’s CSR objectives
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This thesis was written in order to prove the expediency of startup ecosystem support and to develop practical recommendations for Belarusian government based on the analysis of successful practices in the U.S. and Lithuania.
It covers the essence of a “startup company” and a “startup ecosystem” as well as provides the analysis of socioeconomic impact of startup companies with particular focus on job creation. It sheds light on the best startup support policies in the U.S., where most prominent startup ecosystems are operating, and Lithuania as a country with similar to Belarusian preconditions and a rapidly
developing ecosystem. Furthermore, this paper deals with Belarus‘s peculiarities regarding fostering startup ecosystem growth. It assesses recent economic development of Belarusian IT sector and gives an insight into its competitive advantages and challenges.
The subsequent paper is based on internet research using articles, presentations, reports and studies, websites and official legal documents.
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.
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The purpose of this study was to investigate the effects of provocative marketing strategies of different companies in the fashion industry in the first part. The thesis emphasizes on various strategies used by several firms. Furthermore it demonstrates the
different modes of provocation and also the process of a marketing strategy. The second part highlights the opportunities and risks of provocative marketing strategies based on American Apparel.
The study “Proteomic and systems biological database analysis of changed proteins from rat brain tissue after diving “ is about system biological testing of proteomic data obtained by rat brain after experimental diving in a pressure chamber. Basically, brain tissue from animal decompression sickness (DCS) was analyzed by mass spectrometry and has given two larger sets of modified proteins. Thereupon, the resulting up- and down-regulated proteins wereidentified and later compared by means of systems of biological databases, in this case GeneGo MetaCoreTM, in order to find similar or various affected cell biological signaling pathways when two different mass-spectrometry methods were compared.
In dieser Arbeit wurden neuartige Proteasen aus psychrotoleranten Bakterienstämmen isoliert und auf ihre biochemischen Eigenschaften charakterisiert. Des Weiteren konnten S8 Familie Proteasen Gene amplifiziert werden und Unterschiede in der Aminosäuresequenz konnten in Zusammenhang mit den biochemischen Eigenschaften der Proteasen in Verbindung gebracht werden.
This thesis deals with the possible integration of social media communication in the marketing of the International Rectifier Corporation. The basis for the implementation of the new communication channel is set through a detailed description of basic, theoret ical functions and features of business-to-business communication as well as social media communication. Based on this knowledge the marketing communication of International Rectifier is analyzed and compared to the competitors. The theoretical lessons in combination with the analysis will then be used to develop a competitive and effective social media strategy for International Rectifier.
A number of real time PCR approaches have been published in the literature. In this thesis, the suitability of different real time PCR approaches using hydrolysis probes have been evaluated regarding PCR performance, cost effectiveness as well as handling. The effect of double-quenched probes as well as the impact of the increase of relative Flap endonuclease amount in quantitative real time PCR has been examined. In terms of genotyping a TaqMan™ assay, considered to be the gold-standard in this application, has been tested and compared to phosphorothioate modified probes, allele specific primers, SNAKE primers, an allele specific probe and primer assays as well as an assay using minor groove binder probes. Promising observations have been made in the case of double-quenched probes, phosphorothioate modified probes, SNAKE primers as well as minor groove binder probes.
The cultivation of mammalian cells in the third dimension has a great potential for a
wide application in regenerative medicine, pharmaceutical industry or cancer research.
An overview about actual 3-D cultivation techniques like hydrogels and porous scaffolds as well as their various materials and modifications is given in this thesis. Also different products and their implementation for a new application of 3-D cell
culture in a laboratory are described.
The primary objective of this work and the research at the “Helmholtz-Zentrum für Umweltforschung” was to gain a deeper understanding of the basically transformation processes, especially for nitrogen species, in constructed wetlands. Therefore two different types of laboratory scale model systems, run with two different artificial wastewaters, had been observed for about 4 months. Data about the situation of three nitrogen species (ammonium, nitrate, nitrite), the physical condition of the pore water and the carbon sources contained by the water had been collected and compared. The present work will provide a summary about the actual knowledge of the microbial processes in constructed wetlands and the general character of such constructions. It will explain the different methods used to gain the data which will be later wards discussed with the aid of the created graphs in the final argumentation.
This Bachelor thesis investigates the learning rules of the Hebbian, Oja and BCM neuron models for their convergence to, and the stability of, the fixed points. Existing research is presented in a structured manner using consistent notation. Hebbian learning is neither convergent nor stable. Oja learning converges to a stable fixed point, which is the eigenvector corresponding to the largest eigenvalue of the covariance matrix of the input data. BCM learning converges to a fixed point which is stable, when assuming a discrete distribution of orthogonal inputs that occur with equal probability. Hebbian learning can therefore not be used in further applications, where convergence to a stable fixed point is required. Furthermore, this Bachelor thesis came to the conclusion that determining the fixed points of the BCM learning rule explicitly involves extensive calculation and other methods for verifying the stability of possible fixed points should be considered.
In the context of globalization and the internationalization of international markets, mergers and acquisitions are becoming increasingly important for transnational corporations and national economies of countries as a form of internationalization, integration and the way to attract foreign investment. In the framework of this paper, the theoretical aspects of mergers and acquisitions have been analyzed, and the experience of Germany, China and Russia in attracting investments through mergers and acquisitions has been examined, and the success of this method for each country has been assessed.
Purpose: This study addresses issues of occupational mental health among nurses. Factors such as linking role, work and social factors, stress, burnout, depression, absenteeism and the intention of turnover, guides the research. The purpose of this research paper therefore looks forward to answer the question "How to measure the extent at which nurses experience symptoms or risk of depression through various factors such as individual or demographic factors, emotional exhaustion and stressful working situations?"
Design: Data were collected from 9 nurses working for major hospitals located in Germany, Baden-Württemberg (Mannheim and Heidelberg), Bremen, Ukraine and Ghana.
Methods: The design and method utilized in the qualitative and quantitative research methods is a survey, which consists of a questionnaire and biographical Interviews.
Questionnaire was used to collect data, which included demographic and job characte-ristics, job-related stress, emotional labor, and depressive symptoms The PHQ-9, serves to measure the depressive symptoms of the participants and serves as an instrument to back up the Interviews conducted. The questionnaire was evaluated with the SPSS version 21.0. Descriptive statistics, correlations, and frequency were used to analyze and evaluate the data.
Results: The study found out that all the participants who took part in this survey are depressed ranging from minimal to moderate depression. The questionnaire detected approximately 20% of the participants being minimal depressed, 40%, mild depressed and 30% moderate depressed. The composed questions targeted on factors like Occupational Stress and Work strain with factors as well as recognition and appreciation from patients and organization. 77, 80% admitted, they have no recognition and appreciation from colleagues and patients. 44,40% turned out to be very stressed up with
their daily work routine and the other 55,60% finds it only stressful .100% turned out to find Labor disturbances as a stress factor. All the participants are not pleased with their salary which leads to Job dissatisfaction.
Conclusion: The results show that it is necessary to implement programs for nurses to help reduce job-related stress, Preventive and suitable methods should be considered to reduce mental strain before depression manifest itself.
Clinical Relevance: Introducing programs that may help nurses and its organization is the work of Human resource management in nursing organization. Nursing administrators have to understand that, the rate at which nurses have to work and deal with other stressful situations might cause them to suffer depressive symptoms. In other to help this situation, they can aspire to enhance stressful work conditions, develop programs
that subdue job related stress and minimize the expectations of depressive symptoms.
The object of the thesis is the material and information flows in the production systems of enterprises, in particular, of LLC "Kolibri".
As a subject of thesis, the improvement of the management of material and related information flows of the company LLC "Kolibri" was chosen.
The purpose of the thesis is theoretical substantiation and development of practical recommendations for the effective management of the flows of material and information resources of the enterprise on the principles of logistics.
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The Tutte polynomial is an important tool in graph theory. This paper provides an introduction to the two-variable polynomial using the spanning subgraph and rank-generating polynomials. The equivalency of definitions is shown in detail, as well as evaluations and derivatives. The properties and examples of the polynomial, i.e. the universality, coefficient relations, closed forms and recurrence relations are mentioned. Moreover, the thesis contains the connection between the dichromate and other significant polynomials.
Different small molecule kinase inhibitors, which have an influence on cell growth, proliferation and cell survival were tested alone and in combination with Erlotinib in the Erlotinib-resistant non-small cell lung cancer cell line PC-9ER and Cisplatin in the K-Ras mutant cell line H358. The aim was to find out, which combinations produce the best antiproliferative effects in non-small cell lung cancer cell lines.
Since its foundation as an application of algebra, coding theory is obtaining a day by day increasing importance. For instance, any communication system needs the concepts of coding theory to function efficiently. In this thesis, reader will find an introductory explanation to linear codes and binary hamming codes including some of the algebraic tools devised in their applications. All the described software applications are verified using SageMath 9.0 using Hochschule Mittweida’s JupyterHub.
In this work, we discuss the key role that “conflict minerals” (Gold, Coltan, Cobalt, Tin, Tungsten) play in global supply chains and high-technology industries, and the issues surrounding their extraction and trade in origin
countries, particularly in the African Congo Basin and the Great Lakes Region. We discuss ongoing international efforts to combat violence, child labour and human rights violations at mineral extraction areas, particularly in the Democratic Republic of the Congo (DRC), where very large mineral reserves have been discovered. We present the OECD Due Diligence Guidance for Responsible Supply Chains of Minerals from Conflict-Affected and High-Risk Areas, and the
GOTS MineralTrace mineral proof-of-origin and trade chain certification solution developed by ibes AG in Germany, which automates and simplifies the implementation of the OECD Guidance. We discuss a pilot project in DRC involving the GOTS GoldTrace application, based on the MineralTrace platform. We point out MineralTrace’s benefits and its limitations. We analyse possible solutions to said limitations, including an analysis of blockchain-based transactional information exchange and record keeping systems, and finally we propose a new MineralTrace Application Programming Interface (API) that solves current limitations, introduces configuration flexibility for client applications, introduces workflow flexibility to adapt MineralTrace to any country or region, and simplifies data export functionality.
The main purpose of this Bachelor thesis was to find and to compile comprehensive information on barley genes expressed in the context of pollen embryogen esis. In the present study, this approach was confined to genes that were previously known to be associated with the initiation of embryogenesis in different plant species. First, candidate transcript sequences were identified in barley. Second, transcript and associated genomic sequences were analyzed in silico to provide suitable structural and functional annotations. Finally, the results of one representative example are presented and interpreted in detail. This work aims to contribute to a significantly improved understanding of pollen embryogenesis - a biological phenomenon broadly used for haploid technology in crop improvement.
Social media platforms play an increasing role in marketing, politics and police affairs, because they can strongly influence opinions. So called “opinion leaders” exert their influence in a given network and shape the opinions of other users. Identifying central nodes in a social graph has been of interest for decades. However, not all centrality measures were developed for social media platforms. They were built for social graphs, which did not include additional metrics (e.g. “likes”, “shares”). Nevertheless, these metrics play a crucial role on modern platforms. Hence, outdated measures need to be adjusted and additional metrics need to be integrated to ensure the best possible results.
Footage of organoids taken by means of fluorescence microscopy and segmented as well as triangulated by image analysis software like LimeSeg and Mastodon often needs to be visualized in aesthetic manner for presentation of the results in scientific papers, talks and demonstrations. The goal of this work was to create a simple to use addon “Biobox” for the open source 3D – visualization package “Blender” which would allow to import triangulated 3D data with animation over time (4D), produced by image analysis software, and optimize it for efficient usage. ”Biobox” offers several visualization tools for the creation of rendered images and animation videos by biologists.
The optimization of imported data was performed by using Blender intern modifiers. The optimized data can then be visualized by using several tools built for visualizing the organoid in frozen, animated and semi-transparent manners. A dynamic link for object selection and dynamic data exchange between Blender and Mastodon was developed. Additionally, a user interface was developed for manual correction errors of segmentation and steering the object detection algorithms of LimeSeg. The benchmark of the developed addon “Biobox” was performed on real scientific data. The benchmark test demonstrated that developed optimization result in significant (~5 fold) decrease of RAM usage and acceleration of visualization more than 160 times.
The loss of photoreceptors is a major course for visual impairment and blindness with no cure currently established. Photoreceptor replacement into mouse models of retinal degeneration is currently investigated as a potential future therapy. To evaluate visual function in mice before and after treatment two vision-based behavioral tests (optomotor tracking and the light/dark box) were investigated including their feasibility to distinguish between rod and cone photoreceptor function. Both methods turned out to be an objective and reliable readout for vision ability in wildtype mice and mice with vision impairment due to retinal degeneration. The capability of the methods to assess slight vision improvements have to be further evaluated.
Therefore options for improvement of the established tests and an idea for a new test paradigm have been introduced.
The aim of this bachelor thesis is to find out how the use of artificial intelligence, specifically the one used in combat situations, can increase the playing time or even the replay value of games in the action role-playing genre. Thereby, it focuses mainly on combat situations between a player and an artificial intelligence.
To begin with, this bachelor thesis examines the action role-playing genre in order to find a suitable definition for it. Accordingly, action role-playing games involve titles that send the player on a hero’s journey-like adventure in which they must prove their skills in combat against virtual opponents. The greatest challenge of these real-time battles comes from the required quick reflexes, skill queries and hand-eye coordination.
Next, six means of increasing the replayability of a game are explored: Experience and Nostalgia, Variety and Randomness, Goals and Completion, Difficulty, Learning, and Social Aspect. The paper then proceeds to give an explanation for the term Artificial Intelligence and examines the various methods used to create intelligent behavior as well as the general advancement of the research field. Special attention is given to the implementation methods of Finite State Machines and Behavior Trees, as they are the most widely used methods for creating behavioral patterns of virtual characters.
Finally, a study conducted as part of the bachelor thesis is described, which compares a mathematically balanced artificial intelligence with a behaviorally balanced one in terms of game performance regarding the willingness of test subjects to purchase and play through the game as well as its replay value. The thesis concludes with the findings that while the behavioral approach is more promising than the mathematical approach, a combination of the two methods ultimately leads to the best outcome. Furthermore, the study shows that the use of artificial intelligence to individualize gaming experiences is promising for the future of the gaming industry.
In this work a second version for the Python implementation of an algorithm called Probabilistic Regulation of Metabolism (PROM) was created and applied to the metabolic model iSynCJ816 for the organism Synechocystis sp. PCC 6803. A crossvalidation was performed to determine the minimal amount of expression data needed to produce meaningful results with the PROM algorithm. The failed reproduction of the results of a method called Integrated and Deduced Regulation of Metabolism (IDREAM) is documented and causes for the failed reproduction are discussed.
The subject of the following paper is the mental well-being of employees at their work and how the leader can improve this well-being using positive psychology. The paper is compilatory in nature because it uses research and literature of experts to analyse how employee mental well-being can be further stimulated. The expert literature is used to present tools, but also to demonstrate the effectiveness of these tools through real-life case studies and evidence. The paper wishes to inform persons, leaders, and entire organizations how positive psychology can be beneficial to organizational members’ well-being in the long term. Using a compilation of positive psychology literature and reallife case studies’ analysis, the informative purpose of the thesis can be achieved.