133,910 research outputs found
Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems
No full textMorabito FC, Andreou AG, Chicca E. Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems. Neural Networks. 2013;45:1-3
Struttura e Funzione nelle Neuroscienze Cognitive Contemporanee. Intervento tenuto in occasione della tavola rotonda Immagini delle strutture, immagini delle funzioni? Neuroscienze teoriche e applicate,
No full textExperimental infrared measurements for hydrocarbon pollutant determination in subterranean waters
No full textSubterranean waters are often polluted by industrial and anthropic effluents that are drained in subsoil. To prevent and control pollution, legislations of different developed countries require an online monitoring measurement, especially for detecting organic solvents (chlorinated and unchlorinated ones). Online measurements include both real-time and no real-time measurements. In general, it is difficult to implement real-time measurements in stricto sensu for online acquisitions on aqueous effluents since they need to be processed by a modeling. This research presents an experimental measurement system based on infrared (IR) spectroscopy for aqueous effluents containing hydrocarbons and capable of displaying excellent values of pollutant concentrations even in instable conditions; the system is able to detect pollutants either in laminar or turbulent flow. The results show the possibility of avoiding the use of “Pitot tube” that is employed to create a stagnation point in order to convert kinetic energy into potential one. This conversion allows the transformation of a turbulent flow in a laminar flow making easy measurement of pollutants included in an aqueous effluent. Obviously, “Pitot tube” is also used for other fluid effluents. The obtained results have been compared with those produced by means of sophisticated IR instrumentation for laboratory applications.MicroelectronicsElectrical Engineering, Mathematics and Computer Scienc
MeSH term explosion and author rank improve expert recommendations
No full textInformation overload is an often-cited phenomenon that reduces the productivity, efficiency and efficacy of scientists. One challenge for scientists is to find appropriate collaborators in their research. The literature describes various solutions to the problem of expertise location, but most current approaches do not appear to be very suitable for expert recommendations in biomedical research. In this study, we present the development and initial evaluation of a vector space model-based algorithm to calculate researcher similarity using four inputs: 1) MeSH terms of publications; 2) MeSH terms and author rank; 3) exploded MeSH terms; and 4) exploded MeSH terms and author rank. We developed and evaluated the algorithm using a data set of 17,525 authors and their 22,542 papers. On average, our algorithms correctly predicted 2.5 of the top 5/10 coauthors of individual scientists. Exploded MeSH and author rank outperformed all other algorithms in accuracy, followed closely by MeSH and author rank. Our results show that the accuracy of MeSH term-based matching can be enhanced with other metadata such as author rank
Case report of a fatal intoxication by citalopram
No full textCitalopram is an antidepressant drug within the group of the selective serotonin reuptake inhibitors (SSRI). It is widely prescribed both in Europe and in United States, and it has always been considered a "safe" drug as pure intoxication with lethal outcome is rare, and most cases of overdose, even with high doses of citalopram ingested, are reported to have an uneventful course. We report the case of a young woman found dead at home. She had been prescribed citalopram by her family doctor 3 weeks before her death for a depressive syndrome. Police found in her house 3 empty blister packages of 28 citalopram tablets (20 mg) and 2 bottles of citalopram oral solution (4%, 15 mL each). The autopsy findings were unremarkable. Nasal swabs, blood from femoral vein, urine, bile and tissue samples were collected for toxicologic investigation. Citalopram separation was performed by solid/liquid method, using Bond-Elute columns. The extracts were analyzed by GLC and GC/MS methods. The toxicologic analysis showed high levels of citalopram in all the examined fluids and tissue samples (blood concentration: 11.60 mg/L). No other drugs and alcohol were detected. Our data confirm that if no other drug is involved, fatal complications occur only after ingestion of very high doses. However, there is no predefined "toxic dose," and the conditions under which the overdose occurs can be very important. We report the exact concentrations of the citalopram in the organs, and wethink that this can be useful in the cases where the blood samples were not available (ie, carbonized or decomposed body)
Female sexual dysfunction and diabetes : a systematic review and meta-analysis
No full textIntroduction: Sexual dysfunction is reported in diabetic women (female sexual dysfunction [FSD]). Aim: To examine the frequency of FSD in diabetic women, and its clinical or metabolic correlates, through meta-analysis of available studies. Methods: We searched in MEDLINE, EMBASE, Cochrane Library, and in reference lists of articles and systematic reviews; we considered human clinical studies published as full articles reporting on FSD in diabetic and control women. In total, we considered 26 studies, including 3,168 diabetic and 2,823 control women. Main Outcome Measures: Frequency of FSD and score of Female Sexual Function Index (FSFI) as a function of study size, patient details (age, body mass index [BMI], duration of diabetes, metabolic control [HbA1c], chronic complications, Beck Depression Inventory [BDI] score). Results: Frequency of FSD was higher in type 1 (OR [95%CI] 2.27 [1.23, 4.16]), in type 2 diabetes (2.49 [1.55, 3.99]), and in "any diabetes" (type 1 and 2) women (2.02 [1.49, 2.72]) than in controls for any duration of diabetes. FSFI was lower in type 1 (-0.27 [-0.41, -0.12]), in type 2 diabetes (-0.65 [-0.75, -0.54]), and in "any diabetes" women (-0.80 [-0.88, -0.71]) than in controls. Depression was significantly more frequent in diabetic than in control women. At meta-regression only BMI was significantly associated with effect size (P=0.005). At weighed regression, the only significant association was found between age and FSFI (P=0.059). The limitations were as follows: only studies of observational nature were available, and heterogeneity was seen among studies. Conclusions: FSD is more frequent in diabetic than in control women, but it is still poorly understood; low FSFI is associated with high BMI. Further studies are necessary to better understand risk factors for FSD in diabetic women
Going Beyond Counting First Authors in Author Co-citation Analysis
No full textThe 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
Multivariate Multi-Scale Permutation Entropy for Complexity Analysis of Alzheimer’s Disease EEG
No full textAn original multivariate multi-scale methodology for assessing the complexity of physiological signals is proposed. The technique is able to incorporate the simultaneous analysis of multi-channel data as a unique block within a multi-scale framework. The basic complexity measure is done by using Permutation Entropy, a methodology for time series processing based on ordinal analysis. Permutation Entropy is conceptually simple, structurally robust to noise and artifacts, computationally very fast, which is relevant for designing portable diagnostics. Since time series derived from biological systems show structures on multiple spatial-temporal scales, the proposed technique can be useful for other types of biomedical signal analysis. In this work, the possibility of distinguish among the brain states related to Alzheimer’s disease patients and Mild Cognitive Impaired subjects from normal healthy elderly is checked on a real, although quite limited, experimental database
"Closing the R&D Gap, Evaluating the Sources of R&D Spending"
No full textBoth spending and tax policies have been implemented in the United States with the goal of stimulating private sector research and development (R&D). Karier questions whether current R&D policy, especially the research and experimentation tax credit, can contribute to closing the gap between nondefense expenditures on R&D in the United States and such expenditures in other countries, such as Japan and Germany. He also explores possible changes to our current R&D policy to make it more effective.
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