112 research outputs found
Flow Visualization of The Buoyancy-induced Convective Heat Transfer in Electronics Cooling
The aim of this work is to develop a simple optical method for the
visualization of the natural convection flow generated in an electronic system
during its normal operation. The presented experimental set-up allows to reveal
local refractive index changes in a phase objects. A fringe pattern is
acquired, through the cooling fluid under analysis, with a digital camera two
times: the first one with the fluid at rest, the second one with the thermal
load due to the electronic device normal operation. By the means of the MATLAB
processing of the acquired images it’s possible to reveal the shape and
the directions of the thermal flow lines for the cooling fluid. In this way we
can obtain a deeper understanding of the optimal convection working volume or
information for the optimization of the relative spatial positioning of the
several electronic components in a complex electronic system, like a printed
circuit board (PCB). The proposed technique has been tested on two typical heat
extraction situations recurrent in the electronic devices. In this paper are
presented the experimental results of the visualization of the convective flow,
in air, for an heat sink and a power resistor.Comment: Submitted on behalf of TIMA Editions
(http://irevues.inist.fr/tima-editions
Predicting your next OLAP query based on recent analytical sessions
International audienceIn Business Intelligence systems, users interact with data warehouses by formulating OLAP queries aimed at exploring multidimensional data cubes. Being able to predict the most likely next queries would provide a way to recommend interesting queries to users on the one hand, and could improve the efficiency of OLAP sessions on the other. In particular, query recommendation would proactively guide users in data exploration and improve the quality of their interactive experience. In this paper, we propose a framework to predict the most likely next query and recommend this to the user. Our framework relies on a probabilistic user behavior model built by analyzing previous OLAP sessions and exploiting a query similarity metric. To gain insight in the recommendation precision and on what parameters it depends, we evaluate our approach using different quality assessments
Rhodococcus sp. ED55: a bacterial strain with potential for application in wastewater treatment for effective removal of endocrine disruptors
info:eu-repo/semantics/publishedVersio
3D Hydrogeological Model Building Using Airborne Electromagnetic Data
We develop a 3D geological modelling procedure supported by the combination of helicopter time-domain electromagnetic data, seismic reflection data, and water well records for the Spiritwood buried valley aquifer system in Manitoba, Canada. Our procedure is an innovative hybrid of knowledge-driven and data-driven schemes that provides a clear protocol for incorporating different types of geophysical data into a 3D stratigraphic model framework. The limited spatial density of water well bedrock observations precludes detection of the buried valley bedrock topography and renders the water well records alone inadequate for accurate hydrogeological model building. The expert interpretation of the geophysical data allows for leveraging of a spatially extensive dataset with rich information content that would be otherwise difficult to utilize for lithostratigraphic classification
MULTIDISCIPLINARY STUDY OF SUBSIDENCE AND SINKHOLE OCCURRENCES IN THE ACQUE ALBULE BASIN (ROMA, ITALY)
Abstract We present the results of a combined analysis of remote sensing and geophysical‐geotechnical data carried out in the Acque Albule Basin, a sinkhole prone area located close to the city of Roma, where a wide travertine wedge is present. We carried out geophysical measurements and borehole drillings over two test areas to image the subsoil where paroxysmal surficial dynamics occur. One site is marked by subsidence occurring at least since the early 2000s, whereas the other site hosts the "La Regina" and "Colonnelle" sinkhole lakes, which discharge sulfur‐carbonated waters. The stability of these two sites threatens highway, railway, and airport facilities, and this study helps to assess the geological hazard. For example, InSAR and LiDAR data helped define wide scale subsidence over the last 20 years and previously undetected small‐scale morphologies. Geophysical measurements of the latter revealed shallow and deep dissolution affecting the travertine and driving surficial paroxysmal events. Both study sites were found to lie inside a large depression located at the junction between Jurassic carbonate and Plio‐Pleistocene units in association with paleo karst morphologies in the travertine deposits and affected by the present‐past spillage of sulfurous waters. Given these elements, multidisciplinary geophysical observations are crucial for assessing and mitigating the geological risk and guiding land use planning and management
Yield of tifton 85 grass under irrigation and nitrogen doses
O trabalho foi conduzido em uma propriedade de atividade leiteirana município de Xambrê, região Noroeste do Paraná, no período de março de 2011 a fevereiro de 2012 com o objetivo de avaliar a produtividade e a composição botânica do capim Tifton 85 com e sem irrigação sob doses de nitrogênio. As parcelas experimentais foram implantadas com delineamento de blocos ao acaso com e sem irrigação e as subparcelas por meio de quatro doses de nitrogênio: 0, 20, 40 e 60 kg ha-1 ciclo de pastejo-1, com quatro repetições. A produtividade em matéria seca (MS) foi maior sob irrigaçãocrescendo de forma linear à adubação nitrogenada. Na dose de 60 kg N ha-1 foram obtidas produtividades iguais a 39279 e 27826 kg MS ha-1, com e sem irrigação, respectivamente. A relação folha colmo não foi afetada pela irrigação. A média geral do percentual de material morto com e sem irrigação, foi igual a 13 e 17%, respectivamente194317323The study was conducted on a dairy farm in the municipality of Xambre, Northwest region of Parana, in the period from March 2011 to February 2012 to evaluate the yield and botanical composition of Tifton 85 with and without irrigation under nitrogen doses. The experimental plots were implanted in completely randomized blocks with and without irrigation and subplots through four nitrogen levels: 0, 20, 40 and 60 kg ha(-1) per grazing cycle, with four replications. The yield in dry matter (DM) was higher under irrigation, responding linearly to increasing nitrogen fertilization. At a dose of 60 kg N ha(-1) yields of 39279 and 27826 kg DM ha(-1) were obtained, with and without irrigation, respectively. The leaf stem ratio was not affected by irrigation. The overall mean percentage of dead material with and without irrigation was equal to 13 and 17%, respectivel
Mining and Modeling Database User Access Patterns
Abstract. We present our approach to mining and modeling the behavior of data-base users. In particular, we propose graphic models to capture the database user’s dynamic behavior and focus on applying data mining techniques to the problem of mining and modeling database user behaviors from database trace logs. The experimental results show that our approach can discover and model user behav-iors successfully.
Blast-induced liquefaction in silty sands for full-scale testing of ground improvement methods: Insights from a multidisciplinary study
In the engineering geology field increased attention has been posed in recent years to potential liquefaction mitigation interventions in susceptible sand formations. In silty sands this is a major challenge because, as the fines content increases, vibratory methods for densification become progressively less effective. An alternative mitigation technique can be the installation of Rammed Aggregate Pier\uae (RAP) columns that can increase the resistance of the soil, accounting for its lateral stress increase and for the stiffness increase from soil and RAP composite response. To investigate the influence of these factors on liquefaction resistance, full-scale blast tests were performed at a silty sand site in Bondeno (Ferrara, Italy) where liquefaction was observed after the 2012 Emilia-Romagna earthquake. A multidisciplinary team of forty researchers carried out devoted experimental activities aimed at better understanding the liquefaction process at the field scale and the effectiveness of the treatment using inter-related methods. Both natural and improved areas were investigated by in-situ tests and later subjected to controlled blasting. The blast tests were monitored with geotechnical and geophysical instrumentation, topographical surveying and geological analyses on the sand boils. Results showed the RAP effectiveness due to the improvement of soil properties within the liquefiable layer and a consequent reduction of the blast-induced liquefaction settlements, likely due to soil densification and increased lateral stress. The applied multidisciplinary approach adopted for the study allowed better understanding of the mechanism involved in the liquefaction mitigation intervention and provided a better overall evaluation of mitigation effectiveness
A systems-level analysis highlights microglial activation as a modifying factor in common epilepsies
Aims: The causes of distinct patterns of reduced cortical thickness in the common human epilepsies, detectable on neuroimaging and with important clinical consequences, are unknown. We investigated the underlying mechanisms of cortical thinning using a systems-level analysis. Methods: Imaging-based cortical structural maps from a large-scale epilepsy neuroimaging study were overlaid with highly spatially resolved human brain gene expression data from the Allen Human Brain Atlas. Cell-type deconvolution, differential expression analysis and cell-type enrichment analyses were used to identify differences in cell-type distribution. These differences were followed up in post-mortem brain tissue from humans with epilepsy using Iba1 immunolabelling. Furthermore, to investigate a causal effect in cortical thinning, cell-type-specific depletion was used in a murine model of acquired epilepsy. Results: We identified elevated fractions of microglia and endothelial cells in regions of reduced cortical thickness. Differentially expressed genes showed enrichment for microglial markers and, in particular, activated microglial states. Analysis of post-mortem brain tissue from humans with epilepsy confirmed excess activated microglia. In the murine model, transient depletion of activated microglia during the early phase of the disease development prevented cortical thinning and neuronal cell loss in the temporal cortex. Although the development of chronic seizures was unaffected, the epileptic mice with early depletion of activated microglia did not develop deficits in a non-spatial memory test seen in epileptic mice not depleted of microglia. Conclusions: These convergent data strongly implicate activated microglia in cortical thinning, representing a new dimension for concern and disease modification in the epilepsies, potentially distinct from seizure control
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