An auto/biographical, cooperative study of ourrelationships to knowing

In this thesis, I explore the relationship between knowing and self-construction among education professionals. The work addresses questions about our relationship with different ways of knowing; and within what I term a psychosocial framework, how the road to selfhood may lie in integrating different ways of knowing, including the rational, emotional, imaginal, embodied, creative, and spiritual. It also questions the tendency to idealize ‘experts’ and disembodied forms of knowledge that are widespread in (higher) education, and even in social and therapeutic work. Auto/biographically oriented co-operative inquiry was my chosen methodology. The research involved two groups of co-researchers based in two different countries, and included interviews with members of my own family. Exploration of my own reflexive relationship with my object of study shaped it into a quest for meaning and voice. I composed a multi-layered, multimedia, performative and circular textual understanding via processes of ‘spiralling’ and unfolding that were solidly rooted in a constructivist epistemology. I analysed both individual and group processes in the co-operative inquiry, looking at metaphors and engaging with crises of knowing and self to produce a fresh perspective on transformative research and professional becoming. I also drew on the ‘writing as inquiry’ approach to intertwine myself as knower with my interpretation, thus constantly interrogating the role of prose and poetic writing in pursuing authenticity and selfhood in relation to knowledge. In addition, I explored the evocative use of ‘cultural objects’ as a strategy for integrating subjective and objective sources of knowing. I conclude my dissertation by offering what has provisionally become – for me as author – a satisfying theory. Taking a view of the self as contingent, developmental and potentially agentic, I claim that by engaging more holistically with feeling, emotion, intuition, imagination and intellect, we may come to experience ourselves as more ‘real’ and integrated knowers

Towards a Virtuosity of School Leadership: clinical support and supervision as professional learning

This paper introduces an innovative clinical support and supervision project that has its origins in the concern for how senior school leaders are increasingly being expected to manage the escalating demand to care for pupils, families and often the wider community. In response to these pressures we offer a three-stage professional learning model of supervision which encompasses collaboration, reflection and dialogue, while facilitating the development of professional skills within a non-judgmental space for personal and professional reflexivity. Alongside providing the service, the authors undertook two phases of qualitative research over a five-year period. Our findings indicate that support and supervision has been wholly beneficial identifying a positive impact across three broad themes: Professional learning, health and well-being, and wider school culture. The process facilitates headteachers making professionally situated decisions grounded in an understanding of educational purpose. We call for a virtuosity of school leadership – a practice of educational leadership where decision-making is informed by good educational judgments and not by standardisation and punitive accountability measures. Distinctively, clinical support and supervision promotes a virtuosity of school leadership while also meeting the moral obligation to care for school leaders and in doing so those in their care

Finite element modeling of ground deformation and gravity field at Mt. Etna

An elastic 3-D axi-symmetric model based on Finite Element Method (FEM) is proposed to compute ground deformation and gravity changes caused by overpressure sources in volcanic areas. The numerical computations are focused on the modeling of a complex description of Mt Etna in order to evaluate the effect of topography, medium heterogeneities and source geometries. Both ground deformation and gravity changes are investigated by solving a coupled numerical problem considering a simplified ground surface profile and a multi-layered crustal structure inferred from seismic tomography. The role of the source geometry is also explored taking into account spherical and ellipsoidal volumetric sources. The comparison between numerical results and those predicted by analytical solutions disclosed significant discrepancies. These differences constrain the applicability of simple spherical source and homogeneous half-space hypotheses, which are usually implicitly assumed when analytical solutions are applied

Integrated inversion of ground deformation and magnetic data at Etna volcano using a genetic algorithm technique

Geodetic and magnetic investigations have been playing an increasingly important role in studies on Mt. Etna eruptive processes. During ascent, magma interacts with surrounding rocks and fluids, and inevitably crustal deformation and disturbances in the local magnetic field are produced. These effects are generally interpreted separately from each other and consistency of interpretations obtained from different methods is qualitatively checked only a posteriori. In order to make the estimation of source parameters more robust we propose an integrated inversion from deformation and magnetic data that leads to the best possible understanding of the underlying geophysical process. The inversion problem was formulated following a global optimization approach based on the use of genetic algorithms. The proposed modeling inversion technique was applied on field data sets recorded during the onset of the 2002-2003 Etna flank eruption. The deformation pattern and the magnetic anomalies were consistent with a piezomagnetic effect caused by a dyke intrusion propagating along the NE direction

Multifractality in local geomagnetic field at Etna volcano, Sicily (southern Italy)

International audienceWe applied the Multifractal Detrended Fluctuation Analysis (MF-DFA), which allows to detect multifractality in nonstationary signals, to the hourly means of local geomagnetic field recorded at Mt. Etna volcano (southern Italy). We studied the signal measured at one geomagnetic station, installed at the summit of volcano, which was characterized by a strong eruption on 27 October 2002. We analyzed two frames of signals, one measured before the eruption and the other after, in order to evaluate dynamical changes induced by the eruptive event. Our findings show that: i) the geomagnetic time series is multifractal; ii) the multifractal degree of the signal decreases after the occurrence of eruption. This study aims to propose another approach to investigate the complex dynamics of volcano-related geomagnetic field

Failures of harbour walls at Malaga and Barcelona

The paper describes the failure of harbour walls which occurred at Malaga on 4th July 2004 and at Barcelona on 1st January 2007, associated with an inadequate consideration of the ground conditions in the light of the marine environment. At Malaga, there was an existing breakwater hence the new harbour was protected from the effect of the waves while at Barcelona, the construction of the quay wall proceeded at a faster rate than the breakwater. In both cases the wharf backfill was placed rapidly on the soft muds, progressing from the inland side. The paper discusses the importance of an overview including the ground investigation, engineering design, construction method and speed of construction

Disease Activity and Progression in Multiple Sclerosis: New Evidences and Future Perspectives

Multiple sclerosis (MS) is a chronic, debilitating, autoimmune-mediated, inflammatory disease of the central nervous system (CNS), in which a combination of inflammation, demyelination and axonal degeneration takes place with extreme highly interpersonal variability [...]

Denoising gravity and geomagnetic signals from Etna volcano (Italy)

Multivariate methods were applied to denoise the gravity and geomagnetic signals continuously recorded by the permanent monitoring networks on the Etna volcano. Gravity and geomagnetic signals observed in volcanic areas are severely influenced by meteorological variables (i.e. pressure, temperature and humidity), whose disturbances can make the detection of volcanic source effects more difficult. For volcano monitoring it is necessary, therefore, to reduce the effects of these perturbations. To date filtering noise is a very complex problem since the spectrum of each noise component has wide intervals of superposition and, some times, traditional filtering techniques provide unsatisfactory results. We propose the application of two different approaches, the adaptive neuro-fuzzy inference system (ANFIS) and the Independent Component Analysis (ICA) to remove noise effects from gravity and geomagnetic time series. Results suggest a good efficiency of the two proposed approaches since they are capable of finding and effectively representing the underlying factors or sources, and allow local features of the signal to be detected

The HOTSAT volcano monitoring system based on combined use of SEVIRI and MODIS multispectral data

Spaceborne remote sensing of high-temperature volcanic features offers an excellent opportunity to monitor the onset and development of new eruptive activity. To provide a basis for real-time response during eruptive events, we designed and developed the volcano monitoring system that we call HOTSAT. This multiplatform system can elaborate both Moderate Resolution Imaging Spectroradiometer (MODIS) and Spinning Enhanced Visible and Infrared Imager (SEVIRI) data, and it is here applied to the monitoring of the Etna volcano. The main advantage of this approach is that the different features of both of these sensors can be used. It can be refreshed every 15 min due to the high frequency of the SEVIRI acquisition, and it can detect smaller and/or less intense thermal anomalies through the MODIS data. The system consists of data preprocessing, detection of volcano hotspots, and radiative power estimation. To locate thermal anomalies, a new contextual algorithm is introduced that takes advantage of both the spectral and spatial comparison methods. The derivation of the radiative power is carried out at all ‘hot’ pixels using the middle infrared radiance technique. The whole processing chain was tested during the 2008 Etna eruption. The results show the robustness of the system after it detected the lava fountain that occurred on May 10 through the SEVIRI data, and the very beginning of the eruption on May 13 through the MODIS data analysis