Web Application for the Plane Route Planning

Cílem bakalářské práce je implementovat webovou aplikaci pro vyhodnocení leteckých tras. Webová aplikace poskytne uživateli letecké trasy seřazené podle ceny nebo času s přestupy v reálném čase podle požadavků uživatele. Konkrétní lety získává systém z webové služby. Aplikace je implementována v jazyce C# s pomocí .Net Framework s návrhovou metodologií objektově orientovaného programování.The goal of the bachelor's thesis is an implementation of web application for the plane route planning. The web application gives users plane routes sorted by time or price of the journey in real time according to requirements of user. Application gets particulars routes from web service. The solution is implemented in C# with .Net Framework with object-oriented programming.

Zur Bildung der Ordnung der Bildung. Vorschlag für ein transdisziplinäres Forschungsprogramm zur Ordnungs- und Erkenntnisbildung – und für einen soziologischen Beitrag

Ordnungsbildung und Erkenntnis bedingen einander. Erkenntnis setzt die Beobachtung von Ordnungsstrukturen voraus oder deren Schöpfung durch Abstraktion und Modellbildung. Beiträge aus unterschiedlichen Bereichen universitärer Forschung untersuchen Strukturen, die einen Bezug haben zu (partiell) autonomen Akteuren (beziehungsweise Agierenden, Agenten) und den dynamischen Prozessen, in denen sie entwickelt werden. Dabei ablaufende Erkenntnisprozesse erfordern interobjektiv erfahrbare, teilweise auch in Symbolik und Ritualen fassbare Ordnungsstrukturen, auch wenn diese erst simultan mit Handlungs- oder Erkenntnisprozessen entstehen. Rekursive Bezüge können zu Formen der Selbstorganisation führen. Bei höher entwickelten Strukturen können Aspekte des Wissens, Lernens (und Vergessens) einbezogen werden und zusätzlich durch emotionale Zustände verstärkt oder abgeschwächt werden. • Wie entstehen Struktur und Ordnung? • Wie werden sie stabilisiert, modifiziert, revolutioniert, restabilisiert? • Wie werden sie zerstört und aufgelöst? • Wie lässt sich das Verhältnis von Ordnung/Struktur und Wandel/Prozess fassen und (gegebenenfalls formal oder im Rechner) modellieren? • Welche institutionalisierten Mechanismen spielen dabei welche Rolle? • Wie prägen diese Mechanismen die Auseinandersetzungen zwischen Akteuren um "richtiges" und "falsches" Handeln und " richtiges" und "falsches" Wissen von diesem Handeln (Realitätsdefinitionen, Ordnungs- und Zielvorstellungen, Legitimationen)? • Welche Wechselwirkungen bestehen zwischen "stummen" Verhaltensordnungen (Handeln) und "beredter" symbolvermittelter Reflexion eben dieser Verhaltensordnungen (Reden und Wissen)? Wissenschaftlerinnen und Wissenschaftler hatten sich am 5.9.2005 an der Universität Hamburg zu einem Workshop über "Ordnungsbildung und Erkenntnisprozesse" zusammengefunden. In diesem Band sind zahlreiche der gehaltenen Beiträge gesammeltFormation of order and cognition are interdependent. Knowledge presupposes the observation of order structures or their creation through abstraction and modelling. Contributions from different areas of university research examine structures that relate to (partially) autonomous actors (or agents) and the dynamic processes in which they are developed. Processes of knowledge that take place in this context require structures of order that can be experienced interobjectively, and in some cases can also be grasped in symbolism and rituals, even if these structures are created simultaneously with processes of action or knowledge. Recursive references can lead to forms of self-organization. In more highly developed structures, aspects of knowledge, learning (and forgetting) can be included and additionally strengthened or weakened by emotional states. On November 5, 2005, scientists came together for a workshop on "Formation of Order and Knowledge Processes" at the University of Hamburg. In this volume, numerous of the given talks and articles are collected

Statistical Analysis of High-Frequency Financial Time Series

Cílem této diplomové práce je analýza finančních dat při zaměření se především na vyhledávaní neefektivit na trhu, které mohou vést ke kapitalizaci nalezených anomálií. Data pochází z různých zdrojů a je potřebné je předzpracovat. Analýza spočívá ve statistických metodách vysokofrekvenčních časových řad. Výsledné charakteristiky jsou následně vizualizovány.The goal of this Master's thesis is to analyze financial data by focusing primarily on the search of market inefficiencies that may lead to capitalization of found anomalies. The data comes from various sources and they need to be preprocessed. The analysis is based on high frequency time series statistical methods. The resultant characteristics are visualized.

Socionic Multi-Agent Systems Based on Reflexive Petri Nets and Theories of Social Self-Organisation

This contribution summarises the core results of the transdisciplinary ASKO project, part of the German DFG's programme Sozionik, which combines sociologists' and computer scientists' skills in order to create improved theories and models of artificial societies. Our research group has (a) formulated a social theory, which is able to explain fundamental mechanisms of self-organisation in both natural and artificial societies, (b) modelled this in a mathematical way using a visual formalism, and (c) developed a novel multi-agent system architecture which is conceptually coherent, recursively structured (hence non-eclectic) and based on our social theory. The article presents an outline of both a sociological middle-range theory of social self-organisation in educational institutions, its formal, Petri net based model, including a simulation of one of its main mechanisms, and the multi-agent system architecture SONAR. It describes how the theory was created by a re-analysis of some grand social theories, by grounding it empirically, and finally how the theory was evaluated by modelling its concepts and statements.Multi-Agents Systems, Petri Nets, Self-Organisation, Social Theories

Biologisierungs- und Sozialisierungsprozesse am Beispiel von Frühgeborenen. Ein Zwischenbericht über die soziale und biologische Beeinflussung individueller Entwicklungs- und Bildungsverläufe in entwicklungspsychologisch-bildungssoziologischer Perspektive

Die Analyse der Bildungskarrieren und Entwicklungsverläufe Frühgeborener bietet sich an, um zu prüfen, inwieweit Befunde der Bildungs(ungleichheits)forschung einerseits durch die Forschung zu Frühgeborenen bestätigt, ergänzt oder modifiziert werden, und inwieweit andererseits jene Befunde die der Frühgeborenenforschung inspirieren, ergänzen und erhellen können – denn Frühgeborene werden hinsichtlich ihrer Bildungskarrieren eindeutig benachteiligt. Da Frühgeborene zahlreich und quer durch alle gesellschaftlichen Milieus und Schichten (wenn auch nicht in gleichem Ausmaß) anzutreffen und dennoch bisher in der Bildungsforschung „unbekannte Wesen“ geblieben sind, kann eine solche Analyse prüfen, inwieweit Mechanismen der (Re-)Produktion von Bildungsungleichheit womöglich komplexer und stärker in andere gesellschaftlichen Regeln und Mechanismen eingebettet sein können als bislang angenommen – das heißt, ob das Ausmaß ihrer Verbreitung, Unbemerktheit und „Härte“ vielleicht größer ist als angenommen. Wird diese Analyse interdisziplinär durchgeführt, so wäre es vielleicht möglich, genauer zu studieren, wie biologische und soziale Einflussfaktoren zusammen-, wechsel- und gegeneinander wirken, durch welche konkreten Praktiken sie Entwicklungs- und Bildungsprozesse von Frühgeborenen beeinflussen und wie gesellschaftliche Makroverhältnisse, institutionelle Meso-Regelungsstrukturen und interaktionale Mikropraktiken dabei ineinander greifen. Im vorliegenden Beitrag diskutieren wir diese Fragestellungen unter dem Gesichtspunkt von Diagnosen, die sozial verursachte Hemmungen der Entwicklung und Bildung Frühgeborener entweder fälschlich auf biologische Ursachen zurückführen (dies bezeichnet der Begriff „Biologisierung“ im Titel unseres Beitrags) oder, anders herum, biologische Ursachen verkennen und fälschlicherweise sozialen Ursachen zuschreiben („Sozialisierung“ im Titel)

Dark gas in the solar neighnorhood from extinction data

When modeling infrared or gamma-ray data as a linear combination of observed gas tracers, excess emission has been detected compared to expectations from known neutral and atomic gas as traced by HI and CO measurements, respectively. This excess might correspond to an additional gas component. This so-called "dark gas" (DG) has been observed in our Galaxy, as well as the Magellanic Clouds. For the first time, we investigate the correlation between visible extinction (Av) data and gas tracers on large scales in the solar neighborhood. Our work focuses on both the solar neighborhood (|b|>10\degr), and the inner and outer Galaxy, as well as on four individual regions: Taurus, Orion, Cepheus-Polaris and Aquila-Ophiuchus. Thanks to the recent production of an all-sky Av map, we first perform the correlation between Av and both HI and CO emission over the most diffuse regions, to derive the optimal (Av/NH)^(ref) ratio. We then iterate the analysis over the entire regions to estimate the CO-to-H2 conversion factor as well as the DG mass fraction. The average extinction to gas column-density ratio in the solar neighborhood is found to be (Av/NH)^(ref)=6.53 10^(-22) mag. cm^2, with significant differences between the inner and outer Galaxy. We derive an average XCO value of 1.67 10^(20) H2 cm^(-2)/(K km s^(-1)). In the solar neighborhood, the gas mass in the dark component is found to be 19% relative to that in the atomic component and 164$$ relative to the one traced by CO. These results are compatible with the recent analysis using Planck data within the uncertainties of our measurements. We estimate the ratio of dark gas to total molecular gas to be 0.62 in the solar neighborhood. The HI-to-H2 and H2-to-CO transitions appear for Av $\simeq$0.2 mag and Av$\simeq1.5$ mag, respectively, in agreement with theoretical models of dark-H2 gas.Comment: 9 pages, 4 figures, 1 table. Accepted for publication in A&A (in press

Mass reservoirs surrounding massive infrared dark clouds: A view by near-infrared dust extinction

Context: Infrared Dark Clouds (IRDCs) harbor progenitors of high-mass stars. Little is known of the parental molecular clouds of the IRDCs. Aims: We demonstrate the feasibility of the near-infrared (NIR) dust extinction mapping in tracing the parental molecular clouds of IRDCs at the distances of D = 2.5 - 8 kpc. Methods: We derive NIR extinction maps for 10 prominent IRDC complexes using a color-excess mapping technique and NIR data from the UKIDSS/Galactic Plane Survey. We compare the resulting maps to the 13CO emission line data, to the 8 \mu m dust opacity data, and to the millimeter dust emission data. We derive distances for the clouds by comparing the observed NIR source densities to the Besancon stellar distribution model and compare them to the kinematic distance estimates. Results: The NIR extinction maps provide a view to the IRDC complexes over the dynamical range of Av = 2 - 40 mag, in spatial resolution of 30". The NIR extinction data correlate well with the 13CO data and probe a similar gas component, but also extend to higher column densities. The NIR data reveal a wealth of extended structures surrounding the dense gas traced by the 8 \mu m shadowing features and sub-mm dust emission, showing that the clouds contain typically > 10 times more mass than traced by those tracers. The IRDC complexes of our sample contain relatively high amount of high-column density material, and their cumulative column density distributions resemble active nearby star-forming clouds like Orion rather than less active clouds like California. Conclusions: NIR dust extinction data provide a new powerful tool to probe the mass distribution of the parental molecular clouds of IRDCs up to the distances of D = 8 kpc. This encourages for deeper NIR observations of IRDCs, because the sensitivity and resolution of the data can be directly enhanced with dedicated observations.Comment: 22 pages, 24 figures, accepted to A&A. A version with full resolution figures can be downloaded from http://www.mpia-hd.mpg.de/homes/jtkainul/NexusI/NexusI_v1.pd

Adversarial attacks and adversarial robustness in computational pathology.

Artificial Intelligence (AI) can support diagnostic workflows in oncology by aiding diagnosis and providing biomarkers directly from routine pathology slides. However, AI applications are vulnerable to adversarial attacks. Hence, it is essential to quantify and mitigate this risk before widespread clinical use. Here, we show that convolutional neural networks (CNNs) are highly susceptible to white- and black-box adversarial attacks in clinically relevant weakly-supervised classification tasks. Adversarially robust training and dual batch normalization (DBN) are possible mitigation strategies but require precise knowledge of the type of attack used in the inference. We demonstrate that vision transformers (ViTs) perform equally well compared to CNNs at baseline, but are orders of magnitude more robust to white- and black-box attacks. At a mechanistic level, we show that this is associated with a more robust latent representation of clinically relevant categories in ViTs compared to CNNs. Our results are in line with previous theoretical studies and provide empirical evidence that ViTs are robust learners in computational pathology. This implies that large-scale rollout of AI models in computational pathology should rely on ViTs rather than CNN-based classifiers to provide inherent protection against perturbation of the input data, especially adversarial attacks

ERS statement on standardisation of cardiopulmonary exercise testing in chronic lung diseases

The objective of this document was to standardise published cardiopulmonary exercise testing (CPET) protocols for improved interpretation in clinical settings and multicentre research projects. This document: 1) summarises the protocols and procedures used in published studies focusing on incremental CPET in chronic lung conditions; 2) presents standard incremental protocols for CPET on a stationary cycle ergometer and a treadmill; and 3) provides patients’ perspectives on CPET obtained through an online survey supported by the European Lung Foundation. We systematically reviewed published studies obtained from EMBASE, Medline, Scopus, Web of Science and the Cochrane Library from inception to January 2017. Of 7914 identified studies, 595 studies with 26 523 subjects were included. The literature supports a test protocol with a resting phase lasting at least 3 min, a 3-min unloaded phase, and an 8- to 12-min incremental phase with work rate increased linearly at least every minute, followed by a recovery phase of at least 2–3 min. Patients responding to the survey (n=295) perceived CPET as highly beneficial for their diagnostic assessment and informed the Task Force consensus. Future research should focus on the individualised estimation of optimal work rate increments across different lung diseases, and the collection of robust normative data.The document facilitates standardisation of conducting, reporting and interpreting cardiopulmonary exercise tests in chronic lung diseases for comparison of reference data, multi-centre studies and assessment of interventional efficacy. http://bit.ly/31SXeB