Catastrofi ri-generative e luoghi del politico. Un'etnografia partecipata del terremoto emiliano

Questa tesi consiste nell'analisi socio-antropologica delle risposte al sisma che il 20 e il 29 maggio ha colpito l'area nord della pianura padano-emiliana, in Italia. La zona precisa di ricerca è stata quella compresa tra i comuni di Mirandola, Cavezzo, Concordia sul Secchia e San Possidonio, della provincia di Modena. Il soggetto specifico è stato Sisma.12, un comitato di terremotati, apartitico e trasversale, che porta avanti specifiche rivendicazioni, elaborando e ponendo in essere politiche “dal basso”, che nascono dalle esperienze dei suoi membri, differenti ma partecipate, come alternative alle scelte messe in atto dalle istituzioni.

Neue Dimensionen in der 3D-Drucktechnologie

Die heute kommerziell verfügbaren generativen Fertigungsverfahren und deren Folgeprozesse ermöglichen die Verarbeitung einer Vielzahl unterschiedlicher Werkstoffe. Bei der Herstellung von funktionalen Prototypen werden die Leistungsgrenzen dieser Technologien jedoch schnell erreicht, sodass Kompromisse und Einschränkungen beim Einsatz der Prototypen in Kauf genommen werden müssen. Die Gründe hierfür liegen bei den sehr hohen Anforderungen, die sowohl an das Serienteil als auch an die Prototypen gestellt werden. Alle Forderungen bezüglich der mechanischen, topographischen und physikalischen Eigenschaften zu erfüllen, ist aus technologischer Sicht nicht möglich, da die RP-Verfahren nicht die Fertigungsbedingungen in der Serienproduktion abbilden können. Um dennoch der steigenden Nachfrage speziell der kunststoffverarbeitenden Industrie nach serienidentischen Prototypen und funktionalen Kleinserien nach zu kommen, wurde ein neues Werkstoff-, Technologie- und Maschinenkonzept basierend auf der 3D-Drucktechnologie entwickelt.

Strahlschmelzen - LaserCUSING® - Integration im Werkzeug- und Formenbau

Die generativen Fertigungsverfahren haben längst ihren Platz in der Wertschöpfungskette neben konventionellen Prozessen eingenommen. Trotzdem müssen die Anwender immer wieder aufs Neue für die recht abstrakten Möglichkeiten und Chancen der Verfahren sensibilisiert werden. Querdenken kann oft schneller und effizienter zur erfolgreichen Problemlösung beitragen als traditionelle Schlüsselwege. Deshalb soll der Beitrag einige Kernpunkte ansprechen, die die additiven Verfahren in den Unternahmen – speziell das LaserCUSING® - als überaus sinnvolle Ergänzung des Technologieparks erachten. Neben der Herstellung von metallischen Prototypen geht der Vortrag insbesondere auf die Vielfalt der Effekte integrierbarer Kanäle in Formeinsätzen besonders des Spritzgusswerkzeugbaus ein.

On the generative equations of fractal self-similarity in granular media and the related PSD models

The physical appearance of granular media suggests the existence of geometrical scale invariance. The paper discuss how this physico-empirical property can be mathematically encoded leading to different generative models: a smooth one encoded by a differential equation and another encoded by an equation coming from a measure theoretical property.

Interactive test construction and administration in the Generative Exam System /

Bibliography: p. 80-83.

On diseases of the generative system.

Mode of access: Internet.

A practical treatise on diseases of the urinary & generative organs (in both sexes) /

Includes index

Generative acts: Family and community involvement of older Australians

The article adopts a developmental approach to successful human aging by exploring the concept of generativity in relation to a study of older Australians' lived experiences of involvement in the family and community. Qualitative data, collected through focus group interviews, were analyzed interpretively using recent developments in Erikson's theory of generativity as a framework. As a result, the present study contributes an in-depth understanding of the role of generative acts to the lives of older people. The data provide illustrative support for Erikson's contention of a generativity/stagnation crisis in later life. Involvement in the family and community is seen as a productive and generative activity, which promotes a positive experience of aging. Two further emergent themes are also explored. First, the experiences of study participants illustrate the reciprocal and cyclical nature of grand-generativity, and the importance of intergenerational relationships. Finally, the data contribute to our knowledge of cultural generativity, and in particular the passing on of cultural knowledge through narratives and modeling.

GTM: the generative topographic mapping

Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example is factor analysis which is based on a linear transformations between the latent space and the data space. In this paper we introduce a form of non-linear latent variable model called the Generative Topographic Mapping, for which the parameters of the model can be determined using the EM algorithm. GTM provides a principled alternative to the widely used Self-Organizing Map (SOM) of Kohonen (1982), and overcomes most of the significant limitations of the SOM. We demonstrate the performance of the GTM algorithm on a toy problem and on simulated data from flow diagnostics for a multi-phase oil pipeline.

Using generative models for handwritten digit recognition

We describe a method of recognizing handwritten digits by fitting generative models that are built from deformable B-splines with Gaussian ``ink generators'' spaced along the length of the spline. The splines are adjusted using a novel elastic matching procedure based on the Expectation Maximization (EM) algorithm that maximizes the likelihood of the model generating the data. This approach has many advantages. (1) After identifying the model most likely to have generated the data, the system not only produces a classification of the digit but also a rich description of the instantiation parameters which can yield information such as the writing style. (2) During the process of explaining the image, generative models can perform recognition driven segmentation. (3) The method involves a relatively small number of parameters and hence training is relatively easy and fast. (4) Unlike many other recognition schemes it does not rely on some form of pre-normalization of input images, but can handle arbitrary scalings, translations and a limited degree of image rotation. We have demonstrated our method of fitting models to images does not get trapped in poor local minima. The main disadvantage of the method is it requires much more computation than more standard OCR techniques.

GTM: the generative topographic mapping

Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example is factor analysis which is based on a linear transformations between the latent space and the data space. In this paper we introduce a form of non-linear latent variable model called the Generative Topographic Mapping, for which the parameters of the model can be determined using the EM algorithm. GTM provides a principled alternative to the widely used Self-Organizing Map (SOM) of Kohonen (1982), and overcomes most of the significant limitations of the SOM. We demonstrate the performance of the GTM algorithm on a toy problem and on simulated data from flow diagnostics for a multi-phase oil pipeline.