1,354,104 research outputs found
Analysis of a polymerase chain reaction-amplified product of the DXS 164 locus in the dystrophin gene
Senigallia historic town walls: materials and stability analyses
This work analyses the characteristics and state of preservation of the historical perimeter walls of the town of Senigallia (Ancona Province, Italy) and faces the problems tied to its degradation. This situation, in conjunction with incautious urban planning, has caused the loss of a sense of unity of the work, now absorbed and scattered in the current urban fabric; this renders its proper fruition difficult, arriving up to today’s situation in which the risk of being structurally compromised has arisen.
This study presents innovative elements in the field of restoration work. The wall is analysed as if it were a geological body, especially the mortar characteristics which are its primary structural weakness; the analyses range from mineralogical – petrographic to physical – technical and were carried out both in situ and at the laboratory, with an evaluation of the foundation soil. The goal is the reconstruction of the current state of the Senigallia historic walls and, in particular, to bring out its technical, structural and physical characteristics of great architectural-historical value, in addition to its interaction with the geological substrate. This was carried out in order to identify the best restoration and preservation techniques so as to elaborate a peculiar Operations and Maintenance Manual for its constituent elements, bearing in mind the seismic properties of the area
BLOCCO ECOGUIDATO DEL GANGLIO STELLATO IN PAZIENTE CON DOLORE SEVERO PER ISCHEMIA CRITICA ARTO SUPERIORE SINISTRO: CASO CLINICO
A novel approach to mass detection in digital mammography based on Support Vector Machines (SVM)
In this paper we present a novel approach to mass detection in digital mammograms. The great variability of the masses appearance is the main obstacle of building a mass detection method. It is indeed demanding to characterize all the varieties of masses with a reduced set of features. Hence, in our approach we decide not to extract any feature, for the detection of the region of interest; on the contrary we exploit all the information available on the image. No a priori knowledge and no appearance model are used. A multiresolution overcomplete wavelet representation is achieved, in order to codify the image with redundancy of information. The vectors of the very-large space obtained are classified by means of an SVM classifier. Training, validation and test are accomplished on images coming from USF DDSM database. The sensitivity of the presented system is 84% with a false-positive rate of 3.1 marks per image
CSP-PT gas plant using air as Heat Transfer Fluid with a packed-bed storage section
Concentrated Solar Power technologies represent an important alternative able to replace in a medium/long term fossil fuel sources. Current technology has several drawbacks which prevent a large diffusion: the principal one is the choice of the Heat Transfer Fluid which involves a certain complexity, including the heat storage section. Conventional plants in operation, consider diathermic oil and, more recently, molten salts. The potential of gases as working fluid has been underestimated till now and its use has not still fully exploited. Using gas would determinate a simpler conversion section increasing reliability. The gas, as proposed by the authors, can expand directly in a series of inter-reheated turbines after a series of intercooled compressions, reaching an acceptable overall global efficiency of the conversion section. The paper describes the optimum choice for the thermodynamic cycle which approaches an Ericsson cycle, integrating it with a comprehensive mathematical model for the heating section of the gas inside the solar receiver. A Thermal Energy Storage section based on the use of a packed bed of rocks has been considered, merged at the plant to insure production continuity. The overall software platform for the plant can be used as design tool in order to set up most important alternatives related to the plant characteristics and specific parameters
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
A ranklet-based CAD for digital mammography
A novel approach to the detection of masses and clustered
microcalcification is presented. Lesion detection is considered as a two-class
pattern recognition problem. In order to get an effective and stable
representation, the detection scheme codifies the image by using a ranklet
transform. The vectors of ranklet coefficients obtained are classified by means
of an SVM classifier. Our approach has two main advantages. First it does not
need any feature selected by the trainer. Second, it is quite stable, with respect
to the image histogram. That allows us to tune the detection parameters in one
database and use the trained CAD on other databases without needing any
adjustment. In this paper, training is accomplished on images coming from
different databases (both digitized and digital). Test results are calculated on
images coming from a few FFDM Giotto Image MD clinical units. The
sensitivity of our CAD system is about 85% with a false-positive rate of 0.5
marks per image
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Thoracic aorta
The thoracic aorta can be affected by both acute and chronic pathological conditions characterized by high mortality, whose early diagnosis plays a crucial role in their prognosis and therapy
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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