Connection of farming and the landscape forming in the Benedictines

Where the orders settled, they began the landscape forming. The monks ensured their livelihoods, by forming the landscape, using it rationally. The settlement of the particular orders and during the following centuries, one aspect was to ensure their livelihoods. The position influenced their scope of activities, including their impact, on the landscape. The Benedictines laid a great emphasis on farming, and the adapting to the conditions, and onto its maximum utilisation. The wish of St. Benedict was, that his followers settle down on a place, and make their environment human, as a result, the Benedictines cultivated land across Hungary, drained swamps, made purposeful farming, created flourishing agriculture. The agriculture and the landscape forming is closely contacted to each other, Pannonhalma, Tihany and the other estates are good examples

Sicherheit. Anspruch - Versprechen - Utopie

Zusammenfassung: Im Rahmen des Artikels wird das Phänomen der Unsicherheit auf Basis der Plessnerschen anthropologischen Perspektive aufgezeigt und der Umgang mit diesem Phänomen fokussiert: expliziert werden der unsicherheitskompensierende, utopische Gehalt von Selbst- und Gemeinschaftsentwürfen sowie gesellschaftspolitische Techniken. Ausgehend von den Schein-Handlungssicherheiten erzeugenden Maßnahmen im Kontext der Sozialen Arbeit wird das Sicherheitsversprechen in dem gesellschaftlichen Zusammenhang zwischen Markt, Staat und Zukunftsprognosen machttheoretisch verortet. Weiterhin wird aufgezeigt, wie diese paradoxalen Verflechtungen: das anthropologische Bedürfnis, Verlangen nach bzw. Anspruch auf Sicherheit, das Versprechen dieser Sicherheit mittels politischer Maßnahmen sowie die faktische Nichteinlösbarkeit dieses Versprechens, die Utopie der Sicherheit, eine Sicherheitsspirale generiere

Movement Pattern Recognition in Physical Rehabilitation - Cognitive Motivation-based IT Method and Algorithms

In this paper, a solution is presented to support both existing and future movement rehabilitation applications. The presented method combines the advantages of human-computer interaction-based movement therapy, with the cognitive property of intelligent decision-making systems. With this solution, therapy could be fully adapted to the needs of the patients and conditions while maintaining a sense of success in them, thereby motivating them. In our modern digital age, the development of HCI interfaces walks together with the growth of users’ needs. The available technologies have limitations, which can reduce the effectiveness of modern input devices, such as the Kinect sensor or any other similar sensors. In this article, multiple newly developed and modified methods are introduced with the aim to overcome these limitations. These methods can fully adapt the movement pattern recognition to the users' skills. The main goals are to apply this method in movement rehabilitation, where the supervisor, a therapist can personalize the rehabilitation exercises due to the Distance Vector-based Gesture Recognition (DVGR), Reference Distance-based Synchronous/Asynchronous Movement Recognition (RDSMR/RDAMR) and the Real-Time Adaptive Movement Pattern Classification (RAMPC) methods

Tájhasználatok alakulása az agglomeráció észak-budai kapuiban

A kutatás célja a kialakult konfliktusok feltárása és újabb konfliktusok kialakulásának megakadályozása az agglomeráció észak-budai kapui mentén kiválasztott tíz település közigazgatási határain belül. A konfliktusokat elsődleges jellegük alapján különböztettük meg. Külön-külön foglalkoztunk a tájhasználati, a tájökológiai és a tájkép konfliktusokkal

Az ökoszisztéma-szolgáltatások fenntarthatósági adaptációjának integrált elemzési és értékelési lehetőségei

Jelen tanulmány célja az ökoszisztéma-szolgáltatások figyelembevételének és integráltságának meghatározása az egyes fenntarthatósági értékelések és nemzetközi összehasonlítások vonatkozásában. Kutatásunkban az Európai Unió tagállamainak környezeti teljesítménye és fenntartható fejlődési stádiuma kerül összehasonlító elemzésre, különös tekintettel arra, hogy ezekben mennyire mutatkozik meg az ökoszisztéma-szolgáltatások adaptációja. A vizsgálat módszertanát egy nemzetközileg is alkalmazott integrálindex kalkulálása adja, melynek előnye, hogy különböző dimenziójú értékek összehasonlítását teszi lehetővé. Cikkünk középpontjában nem az új eredmények kimutatása, hanem a különböző értékelési módszerek harmonizálása áll. Kimutattuk, hogy jelentős eltérések tapasztalhatók az EU-s tagállamok 2012 és 2022 közötti értékeiben. Míg egyes országokban az ökoszisztéma-szolgáltatások figyelembevétele javuló tendenciát követ, addig más országokban 2022-re romló eredmények voltak tapasztalhatók. Eredményeink alapján kijelenthetjük, hogy az ökoszisztéma-szolgáltatások kiaknázása és óvása, valamint a fenntartható fejlődés célkitűzéseinek elérése összehangolást kíván

Forward modeling of EUV and gyrosynchrotron emission from coronal plasmas with FoMo

Odysseus funding (FWO-Vlaanderen), IAPP7/08CHARM (Belspo), GOA-2015-014 (KULeuven), NAOJ Visiting Fellows Program. N Misa PhD student of the FWO-Vlaanderen.The FOMO code was developed to calculate the EUV and UV emission from optically thin coronal plasmas. The input data for FOMO consists of the plasma density, temperature and velocity on a 3D grid. This is translated to emissivity on the 3D grid, using CHIANTI data. Then, the emissivity is integrated along the line-of-sight (LOS) to calculate the emergent spectral line for synthetic spectrometer observations. The code also generates the emission channels for synthetic AIA imaging observations. Moreover, the code has been extended to model also the gyrosynchrotron emission from plasmas with a population of non-thermal particles. In this case, also optically thick plasmas may be modeled. The radio spectrum is calculated over a large wavelength range, allowing for the comparison with data from a wide range of radio telescopes.Publisher PDFPeer reviewe

Assessment Matrix Based Evaluation of Ecosystem Services in Relation to Land Use Change Scenarios

The ecosystem services are natural assets and services, which are used by humans directly or indirectly over their respective lifetimes (MEA, 2005). Several authors and organizations describe these goods of nature in different ways. Some authors use ecological concepts as the basis for categorization (Norberg, 1999), others concentrate on different human needs (Wallace, 2007), however the most common categories are based on some functional distinction (MEA, 2005; de Groot, 2006; Hein et al., 2006). Authors representing this latter group usually mention the following classification: provisioning, regulating, supporting and cultural services. The provisioning services like water, wood or timber are used directly by people. The regulating services are climate regulation, water purification and other similar processes. The cultural services are for example education, recreation potential and spiritual inspiration. The supporting services ensure the clear functioning of the three groups, for example soil formation and photosynthesis (MEA, 2005). The methodology of valuing ecosystem services is an effective decision support tool, because this highlights the natural, social and economic values of the goods and services of the living system for decision-making and planning. Despite the availability of a wide range of valuation methods (Chen et al., 2009; Kiss et al., 2012), there are still unresolved issues (de Groot et al., 2010). Its important elements are revealing the spatial characterization and the dynamics of the landscape and ecosystem services, for which there are effective methods among the dynamically developing GIS analysis tools. This usually does not create a comprehensive inventory of all the ecosystem services, but analysis several selected services in detail, primarily in context with the potentials and land use changes (Willemen et al., 2008). One of the most promising methods of ecosystem services valuation is the assessment matrix, a great advantage of the method is that it can be aggregated at the landscape-level (Burkhard et al., 2009). The major account of the processing and analysis of the historical maps is that allows of understanding of the past human land use, the long-term landscape changes and the dynamics of the landscape. The knowledge of the past also contributes to the exploration of the main driving forces and use them to anticipate the future changes (Swetnam et al., 2011). Modeling of future land use change is proved to be a very efficient method among many types of landscape change analysis (Pontius et al., 2001; Goldstein et al., 2004; Kline et al., 2007), and a frequent tool in climate change analysis (IPCC, 2007), land use planning (Xiang & Clarke, 2003), conservation planning (Osvaldo et al., 2000) and recently it has been increasingly used in the assessment of the ecosystem services (MEA, 2005). The evaluation of the ecosystem services and the modeling of the future land use changes have an increasing role in regional politics. The consistency between these two topics would be a very important step forward (Estoque et al., 2012). In this study we describe an assessment framework of ecosystem services analysis in a pilot area of Southwest-Hungary called Nagyberek, used to be the largest swampy bay of Lake Balaton. The method using GIS analysis of historic maps and recent land cover dataset explores the main land use types. It concentrates also on those driving forces which are directly influenced by the land use of the area. We plan three future land use scenarios based on the main driving forces, with the help of the CLUE-S (Verburg et al., 2002), the integrated land use modeling tool. We select and assess a certain part of the ecosystem services according to the Burkhard’s study (2009), their trends, with the help of the assessment matrix

The Cognitive Motivation-based APBMR Algorithm in Physical Rehabilitation

This article presents a new, alternative method of gesture recognition using the cognitive properties of intelligent decision-making systems to support the rehabilitation process of people with disabilities: the Asynchronous Prediction-Based Movement Recognition (APBMR) algorithm. The algorithm “predicts” the next movement of the user by evaluating the previous three with the goal to maintain motivation. Based on the prediction, it creates acceptance domains and decides whether the next user-input gesture can be considered the same movement. For this, the APBMR algorithm uses six mean techniques: the Arithmetic, Geometric, Harmonic, Contrahamonic, Quadratic and the Cubic ones. The purpose of this article besides presenting this new method is to evaluate which mean technique to use with the three different acceptance domains. The authors evaluated the algorithm in real-time using a general and an advanced computer, as well as they tested it by predicting from a file and also compared the algorithm to one of their earlier works. The tests were done by four groups of users, respectively, each group doing four gestures. After analyzing the results, the authors concluded that the Contraharmonic mean technique gives the best average gesture acceptance rates in the ±0.05 m and ±0.1 m acceptance domains, while the Arithmetic mean technique provides the best average gesture acceptance rate in the ±0.15 m acceptance domain when using the APBMR algorithm