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The Highland Plateau region, in San Luis Potosí, involves particular dynamics and needs from those presented within the rest of the state; its culture, vocation, mineral resources and territory, converge to give rise to a unique and particular region. The connectivity within the region has been decisive for its development, since two of the largest and most important national roads in go through this territory.
Despite comprehending about a half of the state's territory, this region has not managed to truly influence the state statistics neither economically nor socially; on the contrary, the employment rate has significantly decreased significantly, and also its population number.
Accordingly, this research aims to analyze the connectivity system within this region to strengthen and complement the development tools of these communities in a sustainable manner and, in this way, increase the welfare of the Highland Plateau population.
Throughout this investigation, it will be possible to understand how the location of this physical network, as well as for the use of resources for the satisfaction of the inhabitants, has been reflected in the communities within this region. Likewise, the statements made by state directors in charge of the economy, road network and social development within the region, will be studied. These statements will also be combined with a “functional grid analysis”, the connectivity between communities and their basic needs.
Since the development of eGovernment systems is gaining worldwide momentum, the European Union is constantly increasing its efforts to induce the development of eGovernment systems in its member states. The currently running strategy is the ’eGovernment Action Plan 2016-2020’, which understands itself as a catalyst for developments in the member states.
Despite these ongoing efforts by the European Union regarding eGovernment, stud- ies are repeatedly revealing that the quality and acceptance by the citizens of dig- ital public services are varying heavily within the EU. Being based on the same political guidelines provided by the EU, the national strategies implemented the core principles to different degrees. These different implementation rates, analyzed for Germany, the United Kingdom and Estonia, supplement the holistic analysis of the eGovernment policies, applications and usage in each member state. This gets proven by the connection of this indicator with related studies in the field of eGov- ernment applications and usage within the European Union.
The aim of this thesis is, on the one hand, to quantify differences in the implementa- tion of the ’eGovernment Action Plan 2016-2020’ into national policies in Germany, the UK and Estonia and, on the other hand, establish this indicator as a valuable asset for evaluating and monitoring the eGovernment efforts by the EU member states.
Plants have certain characteristics which allow them to respond to various environmental conditions, like changes in climate, water loss in the soil, lack of minerals; among others. In some of these so-called traits, the responses to climatic phenomena such as drought can be evidenced through morphological adaptations (spines, succulent tissues, trichomes, among others) or physiological adaptations (regulation of water potential at the cellular level, the concentration of nutrients, etc.)
In certain areas of Brazil such as the Mata Atlântica biome, drought events are increasingly occurring and affecting human activities and the environment, and it is required to understand if tree species with traits adapted to dry conditions are occurring in drought-prone areas. For this reason, it is intended to find out the potential of using morphological functional traits of woody species as indicators of dry conditions in the transition zone of the Atlantic Forest. RJ Brazil.
Therefore, this work was carried out considering a field phase in a drought-prone area known as “Mata de Tabuleiros” or Semideciduous Seasonal Lowland Forest that belongs to the domain of the Mata Atlântica, there were selected morphological traits in order to know which of them can give a hint as drought tolerant traits. On the other side, there was searched in the Rio de Janeiro Botanical Garden JABOT database for species with recorded characteristics related to drought adaptations. For the traits in the field, and the selected species from the database was elaborated a Species Distribution Model SDM in order to know how some climatic variables allow the distribution of species and morphological traits.
As main result there was elaborated a set of trait indicators that can be considered for further analysis in the region; and also the results of the SDM obtained at large scale for the Mata Atlântica for the species selected from the database, and the SDM for the traits analyzed in the field in the Mata de Tabuleiros. Besides that, the consultations with experts in the subject were an important input that allowed to carry out this research. The use of morphological and functional traits is important to understand the interactions between organisms and their environment, in this case, to cope and tolerate a climate phenomenon like drought.
Keywords: Mata de Tabuleiros, Drought tolerance, Morphological traits, Species Distribution Modeling
In den letzten Jahren haben sich die öffentlichen Verwaltungen in Deutschland im Zuge von „Open Government” immer weiter gegenüber den Bürgern geöffnet. Durch die Digitalisierung bieten sich vielfältige Möglichkeiten, wie Kommunen ihr Handeln transparent gestalten und gleichzeitig Bürger dazu ermächtigen, sich an politischen Problemlösungsprozessen zu beteiligen. Die fortschreitende Vernetzung der Menschen und das größer werdende Angebot an Daten, mit denen die Verwaltung arbeitet, führt zu großen Herausforderungen und Fragen, zur zukünftigen Politik auf kommunaler Ebene. Aus diesem Grund untersucht diese Thesis die aktuellen Internetkonzepte ausgewählter Kommunen hinsichtlich der Frage, wie die Prinzipien von Open Government bisher umgesetzt wurden. Durch die allgemeine Forschung auf dem Gebiet des Crowdsourcings, der Analyse von Studien und der Durchführung von Interviews mit Experten werden zusätzliche Erkenntnisse gewonnen. Das Ergebnis zeigt, dass die Kommunen sich noch am Anfang der Nutzung digitaler Bürgerbeteiligung stehen. Sowohl die Initiierung von Kollaborationsmodellen findet bislang nur in geringem Maße statt, als auch der Umgang mit offenen Daten, die von der Verwaltung erhoben werden ist wenig erfolgsversprechend: Der eingeschränkte Zugang für eine breite Zielgruppe sowie die fehlende Nutzung der Daten zu Auswertungszwecken sind Beispiele dafür. Zur Adressierung dieser Herausforderungen wurde ein Framework entwickelt, das seinen Schwerpunkt auf die Interaktion zwischen Bürger und Kommune bei der Entwicklung von Lösungen zu öffentlichen Problemen legt. Dadurch soll einerseits alle möglichen Formen der Interaktion zwischen den beiden Akteuren gefördert und andererseits der Wert von offenen Daten als Kommunikationsgrundlage hervorgehoben werden.
Die Analyse von Log-Dateien als Spezialfall des Text Mining dient in der Regel dazu Laufzeitfehler oder Angriffe auf ein Systems nachzuvollziehen. Gegen erkannte Fehlerzustände können Maßnahmen ergriffen werden, um diese zu vermeiden. Muster in semi-strukturierten Log-Dateien aus dynamischen Umgebungen zu erkennen ist komplex und erfordert einen mehrstufigen Prozess. Zur Analyse werden die Log-Dateien in einen strukturierten Event-Log (event log) überführt. Diese Arbeit bietet dem Anwender ein Werkzeug, um häufige (frequent) oder seltene (rare) Ereignisse (events), sowie temporale Muster (temporal patterns) in den Daten zu erkennen. Dazu werden verschiedene Techniken des Data-Minig miteinander verbunden. Zentrales Element ist dieser Arbeit das Clustering. Es wird untersucht, ob durch Neuronale Netze mittels unüberwachtem Lernen (Autoencoder) geeignete Repräsentationen (embeddings) von Ereignissen erstellt werden können, um syntaktisch und semantisch ähnliche Instanzen zusammenzufassen. Dies dient zur Klassifikation von Ereignissen, Erkennung von Ausreißern (outlier detection), sowie zur Inferenz einer nachvollziehbaren visuellen Repräsentation (Regular Expressions; Pattern Expressions). Um verborgene Muster in den Daten zu finden werden diese mittels sequenzieller Mustererkennung (Sequential Pattern Mining) und dem auffinden von Episoden (Episode Mining) in einem zweiten Analyseschritt untersucht. Durch das Pattern Mining können alle enthaltenen Muster im einem Event-Log gefunden werden. Der enorme Suchraum erfordert effiziente Algorithmen, um in angemessener Zeit Ergebnisse zu erzielen. Das Clustering dient daher ebenfalls zur Reduktion (pruning) des Suchraums für das Pattern Mining. Um die Menge der Ergebnisse einzuschränken werden verschiedene Strategien auf ihre praktische Tauglichkeit hin untersucht, um neue Erkenntnisse zu erlangen. Zum einen die Mustererkennung mittels verschiedener Kriterien (Constrained Pattern Mining) und zum anderen durch die Nützlichkeit (High Utility Pattern Mining) von Mustern. Interessante temporale Muster können auf anderen Log-Dateien angewendet werden, um diese auf das Vorkommen dieser Muster zu untersuchen.
Food insecurity, poor nutrition and poverty are closely linked and entail adverse consequences for the health and well-being of children and adults. They constitute major constraints to development efforts as they can imply lifelong negative effects on human development with impairments on physical and mental capacities of a population, resulting in an overall lower productivity and economic growth potential.
Urban agriculture has been advocated as a strategy to improve food security. This paper exemplifies an urban gardening project that addresses food security and economic resilience of the Syrian refugees and vulnerable Lebanese host communities executed in the suburbs of Beirut. The hypothesis underpinning this study is that urban agriculture holds the potential to contribute to increased food security and reduced urban poverty, by increasing the availability and accessibility to a variety of fresh foods that are rich in vital nutrients and by functioning as a source of livelihoods and income.
The brutality of the Syrian Civil War, it’s massive damage and destruction of housing and persecutions for ethnic cleansing led more than a quarter of its originally 24 million inhabitants to seek safety in neighboring countries and Europe. The war has severely hampered the stability and development throughout the region as hundreds of thousands of refugees have fled to neighboring countries where they often compete with host communities over housing, labor, water, food and land. In relative numbers the biggest burden fell on the riparian country Lebanon, currently holding the highest ratio of refugees to nationals in the world. The small Arab country has already been suffering from many pre-existing challenges as food insecurity and widespread poverty.
The high dependence on food assistance, limited access to income and uncertainties on the amount of food aid provided in each upcoming year, all contribute to an unstable and low food security status of Syrian refugee households in Lebanon with spill overs to vulnerable host communities. In 2017, 91% of Syrian families residing in Lebanon remained food insecure to some degree and the share of household’s falling into severe food insecurity keeps increasing with every year.
These numbers provide clear evidence that current efforts of providing food assistance are not sufficient to combat the repercussions of the crisis and get the situation under control.
The paper displays the impact of the urban gardening project on the food security and economic resilience of participating household’s, as well as lessons learned on the project design during and after the implementation phase. The sampling frame is comprised of Syrian and Lebanese families participating in the project. Primary data were derived from a survey using a questionnaire with a sample size of 41 households. The findings aim to enable stakeholders to improve the performance of similar projects in the future and support relevant government authorities, international aid institutions, non-profits and the civic society towards creating sustainable long-term solutions to increase the self-reliance of refugees by providing insights of the suitability of UA for multiple objectives and by highlighting potential challenges and risks.
Objectives FHIR (Fast Healthcare Interoperability Resources) is an emerging Stan¬dard for improving interoperability in the domain of health care. Besides offering features for achieving syntactical, semantical and organizational interoperability, it also specifies a RESTful API for searching purposes. The main objective of the following thesis revolves around investigating open challenges and limitations of the so-called FHIR Search Framework.
Methods A variety of operations for searching in FHIR resources, including all search interactions, definitions of search parameters, search parameter types and advanced search concepts are described. Over the course of the thesis, a quality model based on ISO 25010 is established. It serves as the foundation for determining if the FHIR Search Framework is well-suited to cover the Information needs of its users. An analysis of completeness involving the measures defined in the quality model forms the main contribution. The primary discussion of the research questions is concluded by proposing a graph model for determining reachability between FHIR resources, essentially mirroring the chaining and reverse chaining functionality. Using well-known classes for expressiveness in graphs, the thesis assess to which degree a graph search can be formulated with the currently defined capabilities.
Results From a functional perspective the FHIR Search Framework can be considered well-suited. Practical limitations should be minimal, grounded on the fact that extensive coverage of the lowest expressiveness classes, RPQs and 2RPQs, can be achieved. Severe gaps where identified only in the support of C(2)RPQs and Data Path Queries. Additionally, ideas for improving non-functional aspects are introduced to support developers in learning the Standard and testing their implementations.
Conclusion The evaluation of the FHIR Search Framework showed promising re¬sults in terms of functional completeness. Yet, the Standard is still evolving, and certain parts of the Search API are neither well-known nor implemented widely. A discussion is to be held if the specification should cover more sophisticated aspects that result from the gaps which were identified.
Policy measures are essential tools for the transition from fossil fuels to renewable energy sources in the electricity generation. Feed-in tariffs (FITs) are the most used policy for support of renewable technologies globally. Nevertheless, Ecuador phased-out FITs in 2016 and adopted auctions in 2015. Ecuador’s implementation of auctions reflects an approach with little relation to practices in other countries and without a technology-specific design. On the other hand, Germany demonstrates a long trajectory in policy-making with vast experience in FITs. Moreover, in 2017 Germany adopted auctions as the official policy to support renewable projects with a scope larger than 750 kW. However, FITs are still in use and complement auctions.
This thesis analyses and compares the country-specific contexts where these policies are implemented through the lens of a multi-level perspective framework. As a result, the most important success factors in Germany have been identified: long-term planning, institutional continuity, legislative stability and principally an actively participating society, which is environmentally aware. Obstacles for the transition in Ecuador are institutional discontinuity, legislative inconsistency, the lack of long-term planning and absence of society as actors of the transition. Due to Germany’s pioneering role plus the successful growth of renewable sources during the last twenty years, their policy implementations appear desirable to adopt in other contexts. Therefore, a prospective transferability of the auction policy from Germany to Ecuador is additionally analyzed.
Die Arbeit widmet sich einem Thema, das zwar nicht ganz neu ist, bisher aber wenig bedeutsam war und durch das Inkrafttreten der DS-GVO nunmehr auf eine in vielen relevanten Bereichen völlig neue rechtliche Grundlage gestellt und hinsichtlich der spezifischen Fragestellung völlig unbearbeitet ist. Die Arbeit gliedert sich in zwei Hauptteile. Im ersten Teil werden die rechtlichen Grundlagen dargestellt und damit die Relevanz des Themas für das Prüfungsverfahren aufgezeigt. Der zweite Teil widmet sich der Anwendung des neuen Datenschutzrechts auf das Prüfungsverfahren und entwickelt dabei konkrete Handlungsempfehlungen, nach denen Prüfungsämter und sonstige mit Prüfungen befasste Einrichtungen die Anforderungen der DS-GVO erfüllen können.
Statistische Analyse ausgewählter sozioökonomischer Daten in Bezug auf Krankenhausaufenthalte
(2018)
In der vorliegenden Arbeit werden Zusammenhänge zwischen bestimmten sozioökonomischen Merkmalen und Krankenhausaufenthalten behandelt. Hierzu wird zunächst anhand von Sekundärliteratur gezeigt, welche gesundheitsbeinflussenden Faktoren in Deutschland relevant sind und was häufige Ursachen für Krankheiten bzw. Krankenhausaufenthalte sind. Im Zuge dessen wird außerdem kurz auf die Tarifmerkmale der privaten Krankenversicherung sowie auf deren Einfluss auf die Prämienkalkulation eingegangen.
Daraufhin werden Daten des Sozio-oekonomischen Panels (SOEP) des Deutschen Instituts für Wirtschaftsforschung untersucht. Dabei werden einerseits einzelne Merkmale und deren Entwicklung im Laufe der Jahre sowie die Verteilung ausgewählter Merkmale auf bestimmte Personengruppen beobachtet. Andererseits werden auch Korrelationen zwischen bestimmten Merkmalen und Hospitalisierungswahrscheinlichkeiten untersucht.
Den Schwerpunkt dieser Arbeit stellen zwei Klassifikationsmethoden, die lineare und die logitische Regressionsanalyse, dar. Zu diesen werden mathematische Grundlagen dargelegt, um sie daraufhin mithilfe des Programms R auf zuvor selektierte Datensätze anzuwenden. Dadurch werden jeweils Hospitalisierungswahrscheinlichkeiten ermittelt. Abschließend wird ein Bezug zur Versicherungswirtschaft hergestellt und unter anderem untersucht, ob solch eine statistische Analyse für einen Versicherer infrage kommt und welche Herausforderungen und Chancen dies mit sich bringt.