Denmark has one of the toughest immigration laws in Europe and legislation has become even tighter. Amid this political climate, a gleam of hope in the form of a refugee and asylum-seeker community centre was established. This centre is called Trampoline House and works to provide refugees and asylum-seekers a place of refuge, hope and community. Inside this centre, we find an art gallery, Centre for Art on Migration Politics (CAMP) dedicated to exhibiting artworks discussing questions of displacement, migration, immigration and asylum. The gallery, in partnership with Trampoline House, hosts events, workshops and talks that encourage cultural exchange between artists, users of Trampoline House and others.Focusing on a particular exhibition, Decolonising Appearance, curated by Nicholas Mirzoeff, that deals with migration and decolonialism, this study attempts to unpack the art gallery’s communication approaches in order to identify strategies for transformative dialogue and social change. Issues of how political and artistic practices intersect are discussed within the framework of voice and appearance (Appadurai 2004, Couldry 2010 & Arendt 1958). By focusing on appearance and re-appearance, this paper examines how notions of voice and capacity may inform the gallery’s decolonial artistic practices.The study finds that while CAMP has ambitions to create dialogue through strategies of artistic interventions, art events and an art gallery guide programme where participants are recruited from Trampoline House, there is a disconnect between what it strives to be, and what it is. Although the vision of CAMP is to build bridges and create cultural exchanges these are only successful to varying degrees. In order to succeed in this vision, the approaches must be more inclusionary and embrace a wider segment of society.

No description available.

Following the 22 February 2011, MW 6.2 earthquake located on a fault beneath the Port Hills of Christchurch, fissuring of up to several hundred metres in length was observed in the loess and loess-colluvium of foot-slope positions in north-facing valleys of the Port Hills. The fissuring was observed in all major valleys, occurred at similar low altitudes, showing a contour-parallel orientation and often accompanied by both lateral compression/extension features and spring formation in the valley floor below. Fissuring locations studied in depth included Bowenvale Valley, Hillsborough Valley, Huntlywood Terrace–Lucas Lane, Bridle Path Road, and Maffeys Road–La Costa Lane. Investigations into loess soil, its properties and mannerisms, as well as international examples of its failure were undertaken, including study of the Loess Plateau of China, the Teton Dam, and palaeo-fissuring on Banks Peninsula. These investigations lead to the conclusion that loess has the propensity to fail, often due to the infiltration of water, the presence of which can lead to its instantaneous disaggregation. Literature study and laboratory analysis of Port Hills loess concluded that is has the ability to be stable in steep, sub-vertical escarpments, and often has a sub-vertically jointed internal structure and has a peak shear strength when dry. Values for cohesion, c (kPa) and the internal friction angle, ϕ (degrees) of Port Hills loess were established. The c values for the 40 Rapaki Road, 3 Glenview Terrace loess samples were 13.4 kPa and 19.7 kPa, respectively. The corresponding ϕ values were thought unusually high, at 42.0° and 43.4°.The analysed loess behaved very plastically, with little or no peak strength visible in the plots as the test went almost directly to residual strength. A geophysics resistivity survey showed an area of low resistivity which likely corresponds to a zone of saturated clayey loess/loess colluvium, indicating a high water table in the area. This is consistent with the appearances of local springs which are located towards the northern end of each distinct section of fissure trace and chemical analysis shows that they are sourced from the Port Hills volcanics. Port Hills fissuring may be sub-divided into three categories, Category A, Category B, and Category C, each characterised by distinctive features of the fissures. Category A includes fissures which display evidence of, spring formation, tunnel-gullying, and lateral spreading-like behaviour or quasi-toppling. These fissures are several metres down-slope of the loess-bedrock interface, and are in valleys containing a loess-colluvium fill. Category B fissures are in wider valleys than those in Category A, and the valleys contain estuarine silty sediments which liquefied during the earthquake. Category C fissures occurred at higher elevations than the fissures in the preceding categories, being almost coincident with bedrock outcropping. It is believed that the mechanism responsible for causing the fissuring is a complex combination of three mechanisms: the trampoline effect, bedrock fracturing, and lateral spreading. These three mechanisms can be applied in varying degrees to each of the fissuring sites in categories A, B, and C, in order to provide explanation for the observations made at each. Toppling failure can describe the soil movement as a consequence of the a three causative mechanisms, and provides insight into the movement of the loess. Intra-loess water coursing and tunnel gullying is thought to have encouraged and exacerbated the fissuring, while not being the driving force per se. Incipient landsliding is considered to be the least likely of the possible fissuring interpretations.

The task of the judge of difficulty in trampoline gymnastics is to check the elements and difficulty values entered on the competition cards and the difficulty of each element according to a numeric system. To do this, the judge must count all somersaults and twists for each jump during a routine and thus record the difficulty of the routine. This assessment can be automated with the help of inertial measurement units (IMUs) and facilitate the judges’ task during the competition. Currently, there is no known reliable method for the automated detection and recognition of the various elements to determine the difficulty of an exercise in trampoline gymnastics. Accordingly, a total of 2076 jumps and 50 different jump types were recorded over the course of several training sessions. In the first instance, 10 different jump types were used to train different machine learning (ML) models. Eight ML models were used for the automatic jump classification. Supervised learning approaches include a naive classifier, deep feedforward neural network, convolutional neural network, k‑nearest neighbors, Gaussian naive Bayes, support-vector classification, gradient boosting classifier, and stochastic gradient descent. When all classifiers were compared for accuracy, i.e., how many jumps were correctly detected by the ML model, the deep feedforward neural network and the convolutional neural network provided the best matches with 96.4 and 96.1%, respectively. The findings of this study will help to develop the automated classification of sensor-based data to support the judge and, simultaneously, for automated training logging.

The thesis deals with using art therapy's methods and technique by multi-handicapped children. The first chapter characterizes multi-handicap, defines various disorders and their influence on the personality of a child. The second chapter introduces the therapy options which can be applied to multi-handicapped children, with a strong accent on artetherapy. In the third chapter there are various artetherapic methods and techniques which can be applied to multi-handicapped children. The fourth chapter shows creative expressions of children with the main accent on drawing, painting and modeling. The practical part describes civil associations where the research has been carried out, and presents the results of the research by means of five case studies. Keywords Multi-handicap, mental handicap, physical defect, cerebral defense, sensory defects, autism, art therapy, ergotherapeutics, music therapy, trampoline therapy, canistherapy, hippotherapy, snoezelen, artetherapic methods, drawing, painting, modeling

The results of the presented work show that machine learning (ML) can be used to support correct training logging in order to improve technical performance in trampoline gymnastics. They indicate considerable potential for expanding mobile applications in a sport with complex movement requirements. / Die Ergebnisse der vorgestellten Arbeit zeigen, dass maschinelles Lernen (ML) zur Unterstützung einer korrekten Trainingsprotokollierung eingesetzt werden kann, um die technische Leistung im Trampolinturnen zu verbessern. Sie weisen auf ein erhebliches Potenzial für die Erweiterung mobiler Anwendungen in einer Sportart mit komplexen Bewegungsanforderungen hin.