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Zum Werk
Der Band zum Eigentümer-Besitzer-Verhältnis erscheint nunmehr in 10. Auflage und behandelt in bewährter Darstellungsform die wichtigsten in den Übungen und im Examen zur Bearbeitung gestellten Streitfragen aus diesem Bereich des Sachenrechts.
Die einzelnen Probleme werden anhand von Beispielfällen erklärt, die in Lehre und Rechtsprechung vertretenen Meinungen werden einander dabei gegenübergestellt, die sie tragenden Argumente werden in Kürze herausgearbeitet und an weiteren Fällen erprobt. Auf diese Weise entwickeln Studierende das für die Falllösung relevante juristische Problembewusstsein sowie die Fähigkeit, die verschiedenen Ansichten und Argumente gegeneinander abzuwägen, eine eigene Meinung zu bilden und sie überzeugend zu begründen.
Vorteile auf einen Blick alle relevanten Probleme zum Eigentümer-Besitzer-Verhältnis in einem Band umfassende Fundstellensammlung für die in Lehre und Rechtsprechung vertretenen Meinungen
Zur Neuauflage
Für die Neuauflage wurden die aktuelle Literatur sowie die neueste Rechtsprechung eingearbeitet sowie ein Abschnitt zum Aufbau von Meinungsstreits in Prüfungen ergänzt.
Zielgruppe
Für Studierende der Rechtswissenschaften, Rechtsreferendarinnen und -referendare und AG-Leiterinnen und -Leiter.
?של מי הנקמה
(2024)
Actin is one of the most highly conserved proteins in eukaryotes and distinct actin-related proteins with filament-forming properties are even found in prokaryotes. Due to these commonalities, actin-modulating proteins of many species share similar structural properties and proposed functions. The polymerization and depolymerization of actin are critical processes for a cell as they can contribute to shape changes to adapt to its environment and to move and distribute nutrients and cellular components within the cell. However, to what extent functions of actin-binding proteins are conserved between distantly related species, has only been addressed in a few cases. In this work, functions of Coronin-A (CorA) and Actin-interacting protein 1 (Aip1), two proteins involved in actin dynamics, were characterized. In addition, the interchangeability and function of Aip1 were investigated in two phylogenetically distant model organisms. The flowering plant Arabidopsis thaliana (encoding two homologs, AIP1-1 and AIP1-2) and in the amoeba Dictyostelium discoideum (encoding one homolog, DdAip1) were chosen because the functions of their actin cytoskeletons may differ in many aspects. Functional analyses between species were conducted for AIP1 homologs as flowering plants do not harbor a CorA gene.
In the first part of the study, the effect of four different mutation methods on the function of Coronin-A protein and the resulting phenotype in D. discoideum was revealed in two genetic knockouts, one RNAi knockdown and a sudden loss-of-function mutant created by chemical-induced dislocation (CID). The advantages and disadvantages of the different mutation methods on the motility, appearance and development of the amoebae were investigated, and the results showed that not all observed properties were affected with the same intensity. Remarkably, a new combination of Selection-Linked Integration and CID could be established.
In the second and third parts of the thesis, the exchange of Aip1 between plant and amoeba was carried out. For A. thaliana, the two homologs (AIP1-1 and AIP1-2) were analyzed for functionality as well as in D. discoideum. In the Aip1-deficient amoeba, rescue with AIP1-1 was more effective than with AIP1-2. The main results in the plant showed that in the aip1-2 mutant background, reintroduced AIP1-2 displayed the most efficient rescue and A. thaliana AIP1-1 rescued better than DdAip1. The choice of the tagging site was important for the function of Aip1 as steric hindrance is a problem. The DdAip1 was less effective when tagged at the C-terminus, while the plant AIP1s showed mixed results depending on the tag position. In conclusion, the foreign proteins partially rescued phenotypes of mutant plants and mutant amoebae, despite the organisms only being very distantly related in evolutionary terms.
Access to digital finance
(2024)
Financing entrepreneurship spurs innovation and economic growth. Digital financial platforms that crowdfund equity for entrepreneurs have emerged globally, yet they remain poorly understood. We model equity crowdfunding in terms of the relationship between the number of investors and the amount of money raised per pitch. We examine heterogeneity in the average amount raised per pitch that is associated with differences across three countries and seven platforms. Using a novel dataset of successful fundraising on the most prominent platforms in the UK, Germany, and the USA, we find the underlying relationship between the number of investors and the amount of money raised for entrepreneurs is loglinear, with a coefficient less than one and concave to the origin. We identify significant variation in the average amount invested in each pitch across countries and platforms. Our findings have implications for market actors as well as regulators who set competitive frameworks.
Climate change fundamentally transforms glaciated high-alpine regions, with well-known cryospheric and hydrological implications, such as accelerating glacier retreat, transiently increased runoff, longer snow-free periods and more frequent and intense summer rainstorms. These changes affect the availability and transport of sediments in high alpine areas by altering the interaction and intensity of different erosion processes and catchment properties.
Gaining insight into the future alterations in suspended sediment transport by high alpine streams is crucial, given its wide-ranging implications, e.g. for flood damage potential, flood hazard in downstream river reaches, hydropower production, riverine ecology and water quality. However, the current understanding of how climate change will impact suspended sediment dynamics in these high alpine regions is limited. For one, this is due to the scarcity of measurement time series that are long enough to e.g. infer trends. On the other hand, it is difficult – if not impossible – to develop process-based models, due to the complexity and multitude of processes involved in high alpine sediment dynamics. Therefore, knowledge has so far been confined to conceptual models (which do not facilitate deriving concrete timings or magnitudes for individual catchments) or qualitative estimates (‘higher export in warmer years’) that may not be able to capture decreases in sediment export. Recently, machine-learning approaches have gained in popularity for modeling sediment dynamics, since their black box nature tailors them to the problem at hand, i.e. relatively well-understood input and output data, linked by very complex processes.
Therefore, the overarching aim of this thesis is to estimate sediment export from the high alpine Ötztal valley in Tyrol, Austria, over decadal timescales in the past and future – i.e. timescales relevant to anthropogenic climate change. This is achieved by informing, extending, evaluating and applying a quantile regression forest (QRF) approach, i.e. a nonparametric, multivariate machine-learning technique based on random forest.
The first study included in this thesis aimed to understand present sediment dynamics, i.e. in the period with available measurements (up to 15 years). To inform the modeling setup for the two subsequent studies, this study identified the most important predictors, areas within the catchments and time periods. To that end, water and sediment yields from three nested gauges in the upper Ötztal, Vent, Sölden and Tumpen (98 to almost 800 km² catchment area, 930 to 3772 m a.s.l.) were analyzed for their distribution in space, their seasonality and spatial differences therein, and the relative importance of short-term events. The findings suggest that the areas situated above 2500 m a.s.l., containing glacier tongues and recently deglaciated areas, play a pivotal role in sediment generation across all sub-catchments. In contrast, precipitation events were relatively unimportant (on average, 21 % of annual sediment yield was associated to precipitation events). Thus, the second and third study focused on the Vent catchment and its sub-catchment above gauge Vernagt (11.4 and 98 km², 1891 to 3772 m a.s.l.), due to their higher share of areas above 2500 m. Additionally, they included discharge, precipitation and air temperature (as well as their antecedent conditions) as predictors.
The second study aimed to estimate sediment export since the 1960s/70s at gauges Vent and Vernagt. This was facilitated by the availability of long records of the predictors, discharge, precipitation and air temperature, and shorter records (four and 15 years) of turbidity-derived sediment concentrations at the two gauges. The third study aimed to estimate future sediment export until 2100, by applying the QRF models developed in the second study to pre-existing precipitation and temperature projections (EURO-CORDEX) and discharge projections (physically-based hydroclimatological and snow model AMUNDSEN) for the three representative concentration pathways RCP2.6, RCP4.5 and RCP8.5.
The combined results of the second and third study show overall increasing sediment export in the past and decreasing export in the future. This suggests that peak sediment is underway or has already passed – unless precipitation changes unfold differently than represented in the projections or changes in the catchment erodibility prevail and override these trends. Despite the overall future decrease, very high sediment export is possible in response to precipitation events. This two-fold development has important implications for managing sediment, flood hazard and riverine ecology.
This thesis shows that QRF can be a very useful tool to model sediment export in high-alpine areas. Several validations in the second study showed good performance of QRF and its superiority to traditional sediment rating curves – especially in periods that contained high sediment export events, which points to its ability to deal with threshold effects. A technical limitation of QRF is the inability to extrapolate beyond the range of values represented in the training data. We assessed the number and severity of such out-of-observation-range (OOOR) days in both studies, which showed that there were few OOOR days in the second study and that uncertainties associated with OOOR days were small before 2070 in the third study. As the pre-processed data and model code have been made publically available, future studies can easily test further approaches or apply QRF to further catchments.
Beerdigen oder verbrennen?
(2024)
Bildung:digital
(2024)
Heute Morgen schon im Bett geswiped, geliked oder gepostet? Auf Arbeit an einer Video-Konferenz teilgenommen, eine Datenbank benutzt oder programmiert? Auf dem Heimweg schnell noch im Laden mit dem Smartphone bezahlt, Podcasts gehört und die Ausleihe der Bibliotheksbücher verlängert? Und abends auf der Couch mit dem Tablet auf ELSTER.de die Steuererklärung ausgefüllt, online geshoppt oder Rechnungen bezahlt, ehe die Streaming-Plattform mit einer Serie lockt?
Unser Leben ist durch und durch digitalisiert. Diese Veränderungen machen vieles schneller, leichter, effizienter. Doch damit Schritt zu halten, verlangt uns einiges ab und gelingt beileibe nicht allen. Es gibt Menschen, die für eine Überweisung lieber zur Bank gehen, das Programmieren den Experten überlassen, die Steuererklärung per Post schicken und das Smartphone nur zum Telefonieren benutzen. Sie wollen nicht, vielleicht können sie auch nicht. Haben es nicht gelernt. Andere, jüngere Menschen, wachsen als „Digital Natives“ inmitten digitaler Geräte, Tools und Prozesse auf. Aber können sie deshalb wirklich damit umgehen? Oder brauchen auch sie digitale Bildung?
Aber wie sieht erfolgreiche digitale Bildung eigentlich aus? Lernen wir dabei ein Tablet zu bedienen, richtig zu googeln und Excel-Tabellen zu schreiben? Möglicherweise geht es um mehr: darum, den umfassenden Wandel zu verstehen, der unsere Welt erfasst, seitdem sie in Einsen und Nullen zerlegt und virtuell neu aufgebaut wird. Aber wie lernen wir, in einer Welt der Digitalität zu leben – mit allem, was dazu gehört und zu unserem Nutzen? Für die aktuelle Ausgabe der „Portal Wissen“ haben wir uns an der Universität Potsdam umgeschaut, welche Rolle die Verbindung von Digitalisierung und Lernen in der Forschung der verschiedenen Disziplinen spielt: Wir haben mit Katharina Scheiter, Professorin für digitale Bildung, über die Zukunft in deutschen Schulen gesprochen und uns gleich von mehreren Expert*innen Beispiele dafür zeigen lassen, wie digitale Instrumente schulisches Lernen, aber auch Weiterbildung im Berufsleben verbessern können. Außerdem haben uns Forschende aus Informatik und Agrarforschung vorgeführt, wie auch gestandene Landwirte dank digitaler Hilfsmittel noch viel über ihr Land und ihre Arbeit lernen können. Wir haben mit Bildungsforschenden gesprochen, die mithilfe von Big Data analysieren, wie Jungen und Mädchen lernen und wo mögliche Ursachen für Unterschiede zu suchen sind. Die Bildungsund Politikwissenschaftlerin Nina Kolleck wiederum schaut auf Bildung vor dem Hintergrund der Globalisierung und setzt dabei auf die Auswertung von großen Mengen Social-Media- Daten.
Dabei verlieren wir natürlich die Vielfalt der Forschung an der Uni Potsdam nicht aus den Augen: Wir stellen der Strafrechtlerin Anna Albrecht 33 Fragen, begleiten eine Gruppe von Geoforschenden in den Himalaya und lassen uns erklären, welche Alternativen es bald zu Antibiotika geben könnte. Außerdem geht es in diesem Magazin um Stress und wie er uns krankmacht, die Forschung zu nachhaltiger Erzgewinnung und neue Ansätze in der Schulentwicklung.
Neu ist auch eine ganze Reihe kürzerer Beiträge, die zum Blättern und Schmökern einladen: von Forschungsnews und Personalia- Infos über fotografische Einblicke in Labore, einfache Erklärungen komplexer Phänomene und Ausblicke in die weite Forschungswelt bis hin zu einer kleinen Wissenschaftsutopie, einem persönlichen Dank an die Forschung und einem Wissenschaftscomic. All das im Namen der Bildung, versteht sich. Viel Vergnügen bei der Lektüre!
Advancing digitalization is changing society and has far-reaching effects on people and companies. Fundamental to these changes are the new technological possibilities for processing data on an ever-increasing scale and for various purposes. The availability of large and high-quality data sets, especially those based on personal data, is crucial. They are used either to improve the productivity, quality, and individuality of products and services or to develop new types of services. Today, user behavior is tracked more actively and comprehensively than ever despite increasing legal requirements for protecting personal data worldwide. That increasingly raises ethical, moral, and social questions, which have moved to the forefront of the political debate, not least due to popular cases of data misuse. Given this discourse and the legal requirements, today's data management must fulfill three conditions: Legality or legal conformity of use and ethical legitimacy. Thirdly, the use of data should add value from a business perspective. Within the framework of these conditions, this cumulative dissertation pursues four research objectives with a focus on gaining a better understanding of
(1) the challenges of implementing privacy laws,
(2) the factors that influence customers' willingness to share personal data,
(3) the role of data protection for digital entrepreneurship, and
(4) the interdisciplinary scientific significance, its development, and its interrelationships.