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We report on our recent progress in creating a new type of compact laser that uses thulium-based fiber CPA technology to emit a central wavelength of 2 μm. This laser can produce pulse energies of >100 μJ and an average power of >15 W. It is designed to be long-lasting and is built for industrial use, making it a great fit for integration into laser machines used for materials processing. These laser parameters are ideal for working with semiconductors like silicon, allowing for tasks such as micro-welding, cutting of filaments, dicing, bonding and more.
As part of the research project Trusted Blockchains for the Open, Smart Energy Grid of the Future (tbiEnergy), one of the objectives is to investigate how a holistic blockchain approach for the realization of a local energy market could be accomplished and how corresponding hardware security mechanisms can be integrated. This paper provides an overview of the implemented prototype and describes the system and its processes.
This study presents an analysis of the coverage made by the journals El País (Spain), Folha de S. Paulo (Brazil) and Süddeutsche Zeitung (Germany) about the protests in Brazil against the 2013 Confederations Cup and the 2014 FIFA World Cup to establish a comparison between them and see which topics were emphasized by the newspapers and which tone they use in their reporting. Based on the research questions, four categories were developed for the analysis of the journals: article structure; topic of the article; actors/group of persons and tone of the reporting, all of them composed by several subcategories. It was concluded that the themes highlighted by the European newspapers were different from those stressed on the Brazilian diary. Nonetheless, all the reviewed newspapers made a neutral coverage of the protests.
This paper examines the communication channels used by innovation projects at the ProtoSpace Hamburg, when engaging with stakeholders, and tries to answer the thesis question whether new media channels improve the chances of success for innovation projects, when used for this communication. Expert interviews with eight experts in com-munication, innovation and stakeholder management were conducted and then analyzed through the application of Mayring´s qualitative content analysis, in order to answer the posed question.
Functions, which can be summarized to the keyword Internet Protocol Television (IPTV) describe the transmission of video services to users via Internet Protocol (IP). Accompanying to this new television transmission path Home Theatre PCs (HTPC) running a so called Media Center platform are more and more entering the living rooms as a companion for the popular LCD and Plasma displays. Perfect ease of use and the visual integration on the screen and also into the living room is raising their acceptance. These HTPCs are a central node for multimedia services such as TV, radio and email within the networked household. Thus, there are good preconditions for the use of a HTPC as end device for Telco operator driven IPTV and telecommunication services. In the context of this diploma thesis possibilities for the provisioning of IPTV and Next Generation Network (NGN) services on a converged multimedia home entertainment platform for the living room will be investigated, especially Vista Media Center platforms. For this reason, standardization activities will be investigated, which deal with the integration of IPTV and telecommunication services into NGN. The validation of the results will be achieved by the design and implementation of a Vista Media Center Add-In, which can be integrated as an IP Multimedia Subsystem (IMS) based User Agent (UA) in ETSI TISPAN Release 2 IPTV infrastructures. Additionally, a Cross Domain messaging service for IMS based UA is created, which enables a cross-network communication between users.
Drought is one of the most common and dangerous threats plants have to face, costing the global agricultural sector billions of dollars every year and leading to the loss of tons of harvest. Until people drastically reduce their consumption of animal products or cellular agriculture comes of age, more and more crops will need to be produced to sustain the ever growing human population. Even then, as more areas on earth are becoming prone to drought due to climate change, we may still have to find or breed plant varieties more suitable to grow and prosper in these changing environments.
Plants respond to drought stress with a complex interplay of hormones, transcription factors, and many other functional or regulatory proteins and mapping out this web of agents is no trivial task. In the last two to three decades or so, machine learning has become immensely popular and is increasingly used to find patterns in situations that are too complex for the human mind to overlook. Even though much of the hype is focused on the latest developments in deep learning, relatively simple methods often yield superior results, especially when data is limited and expensive to gather.
This Master Thesis, conducted at the IPK in Gatersleben, develops an approach for shedding light on the phenotypic and transcriptomic processes that occur when a plant is subjected to stress. It centers around a random forest feature selection algorithm and although it is used here to illuminate drought stress response in Arabidopsis thaliana, it can be applied to all kinds of stresses in all kinds of plants.
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.
There are multiple ways to gain information about an individual and its health status, but an increasingly popular field in medicine has become the analysis of human breath, which carries a lot of information about metabolic processes within the individuals body. The information in exhaled breath consists of volatile (organic) compounds (VOCs). These VOCs are products of metabolic processes within the individuals body, thus might be an indicator for diseases disturbing those processes. The compounds are to be detected by mass-spectrometric (MS) or ion-mobility spectrometric (IMS) techniques, making the analysis of these compounds not only bounded to exhaled breath. The resulting data is spectral data, capturing concentrations of the VOCs indirectly through intensities. However, a number of about 3000 VOCs [1] could already be determined in human exhaled breath. The number of research paper about VOC-analysis and detection had risen nearly constantly over the last decade 1. Furthermore, the technique to identify VOCs could also be used to capture biomarker from alien species within the individuals body. Extracting VOCs from an individual can be done by non- or minimal invasive techniques. However, the manual identification of VOCs and biomarkers related to a certain disease or infection is not feasible due to the complexity of the sample and often unknown metabolic products, thus automized techniques are needed. [1–4] To establish breath analysis as a diagnosis tool, machine learning methodes could be used. Machine learning has become a popular and common technique when dealing with medical data, due to the rapid analysis. Taking this advantage, breath analysis using machine learning could become the model of choice for diagnosis, keeping in mind that conventional methodes are laboratory based and thus when trying detect bacterial infection need sometimes several days to identify the organism. [5]
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.
A Systematic Literature Review on Blockchain Oracles: State of Research, Challenges, and Trends
(2023)
To enable data exchange between the Blockchain protocol (on-chain) and the real world (off-chain), e.g., non-Blockchain-based applications and systems, a software called Oracle is used [3]. Blockchain oracle is an important component in the use of off-chain data for on-chain smart contracts. However, there is limited scientific literature available on this important blockchain topic. Therefore, in this paper, a novel systematic literature review based on intelligent methods, e.g., information linking, topic clustering and focus identification through frequency calculations, is proposed. Thus, the current state of scientific research interest, content and challenges, and future research directions for blockchain oracles are identified. This paper shows that there is little unbiased literature that does not call oracles a problem. From the results of this new literature review framework, relevant areas of data handling and verification with blockchain oracles are identified for future research.