Phase shift in experimental trajectory scaling functions

For one dimensional maps the trajectory scaling functions is invariant under coordinate transformations and can be used to compute any ergodic average. It is the most stringent test between theory and experiment, but so far it has proven difficult to extract from experimental data. It is shown that the main difficulty is a dephasing of the experimental orbit which can be corrected by reconstructing the dynamics from several time series. From the reconstructed dynamics the scaling function can be accurately extracted.Comment: CYCLER Paper 93mar008. LaTeX, LAUR-92-3053. Replaced with a version with all figure

Alive in the Reading: Nayaran and Chekhov

Kirin Nayaran\u27s Alive in the Writing: Crafting Ethnography in the Company of Chekhov is a five - section book about finding company amid the often isolating and difficult aspects of writing (p. xiii). As an English Literature major, I recall the basic tenets of story - writing: plot, setting, and characterization. Narayan\u27s chapters offer a kinder entry. Story and Theory invoke Anton Chekhov as an ethnographic companion offering expertise about the essentials of writing a good story. Place, Person, and Voice take the innocent writer further in to the power of writing, until Self provides a denouement of sorts, when the reader finally realizes that learning to write with Narayan, Chekhov, and a host of others was actually a foray into ethnography itself. This book is at once an insightful textbook, an inspiring read, and an ethnographic experienc

Integrated Diagnostics of Pharmaceutical Contaminants in Water Supply and Management Systems

Die Kontamination von Trinkwasser mit Arzneimitteln stellt eine ernste Gesundheitsgefahr dar. Um die Trinkwasserqualität kontinuierlich überwachen und im Falle einer Verunreinigung zeitnah reagieren zu können, sind neuartige Sensoren erforderlich. Hier können immunanalytische Methoden, die auf der Bindung des Analyten an hochselektive Antikörper beruhen, hilfreich sein. In dieser Arbeit wurden magnetpartikelbasierte Immunoassays (MBBAs) für zwei relevante Kontaminanten des Trinkwassers entwickelt: Diclofenac (DCF) und Amoxicillin (AMX). Bei letzterem erwiesen sich neben der Ausgangsverbindung auch dessen Hydrolyseprodukte (HPs) als relevant für die Gefährdungsbeurteilung. In einer umfassenden Studie wurde der Einfluss von externen Faktoren und intrinsischen Eigenschaften des Wassers auf die Hydrolysegeschwindigkeit untersucht. Da die Hydrolyse von AMX auch die Erkennung durch den Antikörper beeinflusst, wurde eine Strategie zur Analyse von Proben mit unbekanntem Hydrolysegrad von AMX unter Verwendung des Enzyms β-Lactamase in der Probenvorbereitung entwickelt. Für beide Analyten ermöglichen die MBBAs eine schnelle Quantifizierung mit Ergebnissen in weniger als einer Stunde, was eine wesentliche Verbesserung gegenüber herkömmlichen Immunoassays wie dem Enzyme-linked Immunosorbent Assay (ELISA) darstellt. Im Vergleich zu den entsprechenden ELISAs mit denselben Antikörpern weisen die MBBAs zudem verbesserte analytische Parameter auf, wie einen breiteren Messbereich und niedrigere Nachweisgrenzen. Aufgrund der magnetischen Eigenschaften der Partikel, die als Plattform für die Assays dienen, eignen sie sich für den mobilen und automatisierten Einsatz vor Ort. Ein integriertes Diagnosesystem, bei dem die elektrochemische Detektion mittels Chronoamperometrie auf einem mikrofluidischen Chip eine weitere Miniaturisierung des Systems ermöglicht, wurde entworfen, um die Überwachung der Trinkwasserqualität online in Wasserwerken zu ermöglichen.The contamination of drinking water with pharmaceuticals represents a severe health risk. In order to monitor the drinking water quality continuously and enable quick countermeasures in case of contamination, novel sensors are required. Here, immunoanalytical methods based on the binding of the analyte to highly selective antibodies can be helpful. In this work, magnetic bead-based immunoassays (MBBAs) have been developed for the detection of two relevant contaminants of drinking water: diclofenac (DCF) and amoxicillin (AMX). In case of the latter, not only the parent drug is of interest in the risk assessment but also its hydrolysis products (HPs). In a comprehensive study, the influence of external factors and intrinsic properties of the water on the rate of hydrolysis was investigated. As the hydrolysis of AMX further impacts the recognition by the antibody, a strategy to analyze samples with unknown hydrolysis degree of AMX was established employing the enzyme β-lactamase in sample preparation. For both analytes, the MBBAs enable the fast quantification with results obtained in less than one hour which represents a major improvement over conventional immunoassays like the enzyme-linked immunosorbent assay (ELISA). Compared to the respective ELISAs with the same antibodies, the MBBAs further exhibit improved analytical parameters such as a broader measurement range and lower limits of detection. Due to the magnetic properties of the beads that serve as a platform for the assays, they are suitable for the mobile and automated detection at the point-of-care. An integrated diagnostic system was designed in which electrochemical detection with chronoamperometry on a microfluidic chip allows for further miniaturization of the system to enable monitoring of the drinking water quality online in water supply pipes at waterworks

Quantitative Methods for Similarity in Description Logics

Description Logics (DLs) are a family of logic-based knowledge representation languages used to describe the knowledge of an application domain and reason about it in formally well-defined way. They allow users to describe the important notions and classes of the knowledge domain as concepts, which formalize the necessary and sufficient conditions for individual objects to belong to that concept. A variety of different DLs exist, differing in the set of properties one can use to express concepts, the so-called concept constructors, as well as the set of axioms available to describe the relations between concepts or individuals. However, all classical DLs have in common that they can only express exact knowledge, and correspondingly only allow exact inferences. Either we can infer that some individual belongs to a concept, or we can't, there is no in-between. In practice though, knowledge is rarely exact. Many definitions have their exceptions or are vaguely formulated in the first place, and people might not only be interested in exact answers, but also in alternatives that are "close enough". This thesis is aimed at tackling how to express that something "close enough", and how to integrate this notion into the formalism of Description Logics. To this end, we will use the notion of similarity and dissimilarity measures as a way to quantify how close exactly two concepts are. We will look at how useful measures can be defined in the context of DLs, and how they can be incorporated into the formal framework in order to generalize it. In particular, we will look closer at two applications of thus measures to DLs: Relaxed instance queries will incorporate a similarity measure in order to not just give the exact answer to some query, but all answers that are reasonably similar. Prototypical definitions on the other hand use a measure of dissimilarity or distance between concepts in order to allow the definitions of and reasoning with concepts that capture not just those individuals that satisfy exactly the stated properties, but also those that are "close enough"