Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of word and syllable frequency on activation during lexical decision and reading aloud

This functional MRI (fMRI) study investigated the effect of lexical and syllable frequency on visual word processing during lexical decision and reading aloud. Previous research has shown a dissociation of syllable and word frequency effects in Spanish using behavioral and electrophysiological measures, suggesting that sublexical (syllabic) representations are computed and mediate the firing of lexical candidates. Here, we characterize the neuroanatomical basis of these lexical and sublexical manipulations and their dependence on task. During lexical decision, words with low vs. high lexical frequency increased activation in left frontal, anterior cingulate, supplemental motor area (SMA), and pre‐SMA regions; while words with high vs. low syllable frequency increased activation in a left anterior inferior temporal region. In contrast, when the words were read aloud those with low vs. high syllable frequency increased activation in the left anterior insula, with no other significant effects. On the basis of the neuroanatomy, we propose that the contrasting effects of syllable frequency during lexical decision and reading aloud reflect two different cognitive processes in visual word processing. Specifically, words with high‐frequency syllables may increase lexical competition in the inferior temporal lobe while facilitating articulatory planning in the left anterior insula. Hum Brain Mapp, 2006. © 2006 Wiley‐Liss, Inc.
Ontology based Similarity Measure in Document Ranking

This paper presents a methodology for the ontology based semantic annotation of web pages with annotation weighting scheme that takes advantage of the different relevance of structured document fields. The retrieval model is based on the importance factors of the structural elements, which are used to re-rank the documents retrieval by the ontology based distance measure. The relevance concept similarity are combined with the annotation-weighting scheme to improve the relevance measures. The proposed method has been evaluated on USGS Science directory collection. Preliminary experiments results show that our method may generate relevant document in the top rank.
A Repository with Semantic Organization for Educational Content

Learning objects are not a new concept, being currently produced either according to existent specifications, or in an ad hoc way. However, a system that can easily classify them for automatic storage is still missing. In this article we propose a repository of learning objects which is capable of automatic classification and categorization based on a semantic organization. The classification is based on a text extraction mechanism which then uses text mining methods. We present a methodology for the initial clustering of objects, and a technique for maintaining the organization with continuous arrival of new objects.
Codon adaptation index as a measure of dominating codon bias

UNLABELLED We propose a simple algorithm to detect dominating synonymous codon usage bias in genomes. The algorithm is based on a precise mathematical formulation of the problem that lead us to use the Codon Adaptation Index (CAI) as a 'universal' measure of codon bias. This measure has been previously employed in the specific context of translational bias. With the set of coding sequences as a sole source of biological information, the algorithm provides a reference set of genes which is highly representative of the bias. This set can be used to compute the CAI of genes of prokaryotic and eukaryotic organisms, including those whose functional annotation is not yet available. An important application concerns the detection of a reference set characterizing translational bias which is known to correlate to expression levels; in this case, the algorithm becomes a key tool to predict gene expression levels, to guide regulatory circuit reconstruction, and to compare species. The algorithm detects also leading-lagging strands bias, GC-content bias, GC3 bias, and horizontal gene transfer. The approach is validated on 12 slow-growing and fast-growing bacteria, Saccharomyces cerevisiae, Caenorhabditis elegans and Drosophila melanogaster. AVAILABILITY http://www.ihes. fr/~materials.
An Embedded Fiber Optic Sensor Method for Determining Residual Stresses in Fiber-Reinforced Composite Materials

A method to determine process-induced residual stress in fiber-reinforced composite materials using strain measurements from embedded fiber optic sensors is presented. This method allows non-destructive, real-time determination of residual macrostress in these materials and may be useful for both process monitoring and control. Extrinsic Fabry-Perot interferometer strain sensors were embedded in Hercules AS4/3501-6 graphite/epoxy composite specimens prior to cure. The specimens were cured in a press, and the internal strains and temperatures developed during processing were monitored and recorded. Residual macrostresses were computed from these measurements using a viscoelastic model of the material. The results compare favorably with analytical predictions, previous experimental measurements from a destructive technique, and with measurements of warpage of a non-symmetric laminate.
Separation of Components of Guinea Pig Complement by Chromatography.∗

Summary Fractionation of guinea pig complement by chromatography on diethyl-aminoethyl cellulose has been explored. C'2 and C'4, as well as the components provisionally designated as C'a and C'b which convert EAC'1,4,2 to E∗, can be separated from one another in a single pass, and the fractions so obtained possess good stability.
Unsupervised Extraction of Popular Product Attributes from E-Commerce Web Sites by Considering Customer Reviews

We develop an unsupervised learning framework for extracting popular product attributes from product description pages originated from different E-commerce Web sites. Unlike existing information extraction methods that do not consider the popularity of product attributes, our proposed framework is able to not only detect popular product features from a collection of customer reviews but also map these popular features to the related product attributes. One novelty of our framework is that it can bridge the vocabulary gap between the text in product description pages and the text in customer reviews. Technically, we develop a discriminative graphical model based on hidden Conditional Random Fields. As an unsupervised model, our framework can be easily applied to a variety of new domains and Web sites without the need of labeling training samples. Extensive experiments have been conducted to demonstrate the effectiveness and robustness of our framework.
Laparoscopic adrenalectomy for nonfamilial adrenal medullary hyperplasia.

BACKGROUND AND OBJECTIVES Sporadic adrenomedullary hyperplasia (AMH) is characterized by a medical history of hypertension, excessive catecholamine excretion, and histomorphometric evidence of increased adrenomedullary tissue relative to the cortex in the absence of multiple endocrine neoplasia. The aim of this study was to perform a retrospective analysis of patients after laparoscopic adrenalectomy for AMH, an early form of sporadic adrenal medulla-related endocrine hypertension, as well as to update our understanding of the clinical features and management of this clinicomorphologic entity. METHODS We performed a retrospective review of the medical records of patients operated on between 2007 and 2011 at Reina Sofia University General Hospital, Murcia, Spain, with a diagnosis of AMH. Patient characteristics, diagnostic studies, surgical procedures, and histologic findings were analyzed. RESULTS Seven hypertensive patients with intermittent adrenergic crises were found to have AMH (3 men and 4 women; mean age, 44 years). Catecholamine levels were increased. Radiologic studies included 1 or more of the following: magnetic resonance imaging, computed tomography, positron emission tomography imaging with fluorodeoxyglucose, dihydroxyphenylalanine-positron emission tomography-computed tomography, Octreoscan (Mallinckrodt Pharmaceuticals, St. Louis, MO, USA) and (123)I-metaiodobenzylguanidine scintigraphy. Laparoscopic adrenalectomy was performed in all cases. One patient underwent bilateral adrenalectomy because of persistent symptomatology after unilateral adrenalectomy. Surgery was associated with normalization of catecholamine hypersecretion and complete disappearance of symptoms, as well as the reduction or abstention of antihypertensive therapy. CONCLUSIONS Sporadic AMH is a clinicomorphologic entity that may mimic pheochromocytoma clinically. Recent advances in diagnostic and surgical methods have changed the management and outcome of this unusual disease. Laparoscopic adrenalectomy may be recommended as the gold standard in the treatment of this entity. Definitive diagnosis is provided by histologic study.
Improvement of Oxide/Oxide CMC and Development of Combustor and Turbine Components in the HiPOC Program

Three different oxide/oxide ceramic matrix composite (CMC) materials are described. Design concepts for the attachment of the CMC component to the metal structure of the gas turbine are developed in a first work stream focused on the combustion chamber and the turbine seal segment. Issues like environmental barrier coating (EBC)/thermal barrier coatings (TBC), application and volatilization, allowance for the different thermal expansion and the mechanical fixation are addressed. The design work is accompanied by CFD and FEM simulations. A variation of the microstructural design of the three oxide/oxide CMC materials in terms of different fiber architecture and processing of matrix are considered. Also, mechanical properties of these variations are evaluated. The material concepts are developed further in a second work stream. The CMCs are tested in various loading modes (tension, compression, shear, off-axis loading) from room temperature to maximum application temperature focusing on tensile creep behavior. By modification of the matrix and the fiber-matrix interface as well as EBC coatings, the high temperature stability and the insulation performance are enhanced. An outline of the “High Performance Oxide Ceramic”-program HiPOC for the following years is given, including manufacturing of a high-pressure tubular combustor and turbine seal segments from the improved materials as technology samples, for which validation testing up to technology readiness level 4 is scheduled for 2011.Copyright © 2011 by ASME and Rolls-Royce Deutschland Ltd & Co KG
Optimal nonuniform signaling for Gaussian channels

Variable-rate data transmission schemes in which constellation points are selected according to a nonuniform probability distribution are studied. When the criterion is one of minimizing the average transmitted energy for a given average bit rate, the best possible distribution with which to select constellations points is a Maxwell-Boltzmann distribution. In principle, when constellation points are selected according to a Maxwell-Boltzmann distribution, the ultimate shaping gain ( pi e/6 or 1.53 dB) can be achieved in any dimension. Nonuniform signaling schemes can be designed by mapping simple variable-length prefix codes onto the constellation. Using the Huffman procedure, prefix codes can be designed that approach the optimal performance. These schemes provide a fixed-rate primary channel and a variable-rate secondary channel, and are easily incorporated into standard lattice-type coded modulation schemes. >
Optimization of Polymer Concrete Composites: Final Report

The objective of this project was the development of a method for the design and optimization of polymer concrete composites, using a fundamental approach based on material models of polymer concrete. The important technical properties and the statistical evaluation of the heterogeneity of polymer concrete are presented. Some aspects of the statistical design of experiments are described. It was shown that a material model based on quadratic functions formed a suitable basis for the optimization of polymer concrete. A comparative analysis of the material models of the two main types of polymer concrete, epoxy and polyester concrete, was carried out. Graphical examples of model applications are presented and the conclusions from the analyses are given. The overall desirability function was then used as the metric for the multi-criteria optimization of polymer concrete.
Reperfusion Within 6 Hours Outperforms Recanalization in Predicting Penumbra Salvage, Lesion Growth, Final Infarct, and Clinical Outcome

Background and Purpose— The relative merits of reperfusion versus recanalization to predict tissue and clinical outcomes in anterior circulation stroke have been previously assessed using data acquired >12 hours postonset. To avoid late-occurring confounders such as non-nutritional reperfusion, futile recanalization and no-reflow phenomenon, we performed ultraearly assessment of reperfusion and recanalization. Methods— From a multicenter prospective database, 46 patients with acute magnetic resonance angiography–visible occlusion and in whom both reperfusion and recanalization were assessed on follow-up magnetic resonance imaging ⩽6 hours of symptom onset were identified. Multiple linear regressions modeled salvaged penumbra, diffusion-weighted imaging lesion growth, and final infarct at 1 month using baseline clinical and imaging parameters and acute reperfusion or recanalization. Best predictors were determined with the Akaike information criterion. Univariate and multivariate logistic regressions identified the clinical and imaging predictors of clinical outcome. Results— Admission magnetic resonance imaging showed M1 occlusion in 15 (33%) patients; median penumbra volume was 13.4 mL. Acute reperfusion was observed in 27 (59%) patients; 42% of nonrecanalized patients demonstrated reperfusion. The dichotomized classification of reperfusion and recanalization was discordant (P=0.0002). Reperfusion ⩽6 hours was a significant (P<0.05) predictor of increased penumbra salvage, reduced lesion growth, and final infarct size. Recanalization did not improve model accuracy. Reperfusion, but not recanalization, was significantly associated with good clinical outcome in logistic regressions. Conclusions— Reperfusion ⩽6 hours was consistently superior to recanalization in predicting tissue and clinical outcome. Reperfusion without recanalization was frequent and probably related to retrograde reperfusion through leptomeningeal collaterals. Acute reperfusion was the strongest predictor of, and may therefore, represent a reliable surrogate for, clinical outcome.
The Effects of Worry and Relaxation on Flexibility During Cognitive Restructuring

Worry is associated with inflexibility in cognitive, emotional, and physiological functioning. In addition, worry’s negative valence and abstract level of construal are rigid characteristics that contribute to its nonadaptive consequences. Relaxation and cognitive therapy aim to increase flexibility in chronic worriers, and may have greater efficacy when administered in combination. We examined the extent to which relaxation enhances and/or worry inhibits cognitive flexibility during a cognitive restructuring exercise in which participants generated alternative predictions for their worries. Participants (n = 189) were randomly assigned to engage in relaxation, worry, or neutral thinking prior to cognitive restructuring. We measured the number and perceived likelihood of alternative predictions generated by participants, and coded those alternative predictions for their degree of positive valence, negative valence, and level of construal (abstractness to concreteness). Worry and relaxation did not lead to different numbers or perceived likelihood of alternative predictions. However, compared with participants with minimal symptoms of generalized anxiety disorder (GAD), those with elevated symptoms of GAD who engaged in prior worry generated alternative predictions characterized by greater negative valence and more abstractness (i.e., less concreteness). We also found that greater negative valence of alternative predictions was associated with more abstractness, whereas greater positive valence of alternative predictions was associated with more concreteness. These findings suggest that after engaging in worry, individuals with GAD may be less able to flexibly shift from the use of nonadaptive characteristics (negative valence, abstractness) associated with feared outcomes to the use of more adaptive characteristics (positive valence, concreteness) when considering alternative predictions.
Modeling air-to-ground path loss for low altitude platforms in urban environments

The reliable prediction of coverage footprint resulting from an airborne wireless radio base station, is at utmost importance, when it comes to the new emerging applications of air-to-ground wireless services. These applications include the rapid recovery of damaged terrestrial wireless infrastructure due to a natural disaster, as well as the fulfillment of sudden wireless traffic overload in certain spots due to massive movement of crowds. In this paper, we propose a statistical propagation model for predicting the air-to-ground path loss between a low altitude platform and a terrestrial terminal. The prediction is based on the urban environment properties, and is dependent on the elevation angle between the terminal and the platform. The model shows that air-to-ground path loss is following two main propagation groups, characterized by two different path loss profiles. In this paper we illustrate the methodology of which the model was deduced, as well as we present the different path loss profiles including the occurrence probability of each.
Mold compound adhesion to bare copper lead frames: Effect of laser texturing

This paper investigates the effect substrate preparation has on epoxy mold compound (EMC) adhesion to bare copper leads. There have been four basic strategies employed to characterize and subsequently improve adhesion between the EMC and copper: 1. Choosing a particular copper alloy, i.e. varying alloy effects in copper to improve oxidation control and thus adhesion. 2. Modifying the mold compound chemistry. 3. Modifying the surface chemistryl topography of the copper by metal plating, organic inhibitor priming, vacuum deposition, ion implantation, UV cleaning, chemical oxidation, and various forms of mechanical roughening including sand or bead blasting. 4. Controlling the rate of oxidation and CuO/Cu 2 O ratio during product assembly. The effects of mold compound chemistry, copper alloying, control of oxidation level and surface topography modification through various means such as laser texturing and Electrical Discharge Machining (EDM) are investigated. It will be shown that laser surface texturing offers one possible low cost solution to achieving significant improvement in adhesion by changing the surface topography of the copper substrate.
Autonomously Controlled Homogenous Growth of Wafer‐Sized High‐Quality Graphene via a Smart Janus Substrate

The work reports a new method for large‐area growth of graphene films, which have been predicted to have novel and broad applications in the future. While chemical vapor deposition (CVD) is currently the preferred method, it suffers from a rather narrow processing window, and there is also much to be desired in the electrical properties of the CVD films. A new method for large‐area growth of graphene films is reported to overcome the narrow processing window of the CVD method. A composite substrate made of a C‐dissolving top (Ni) layer and a C‐rejecting bottom (Cu) layer is designed, which evolves into a C‐rejecting mixture, to autonomously regulate the C content at an elevated yet stable level at and near the surface over an extended duration. This “smart” substrate promotes graphene formation over a wide temperature‐gas composition window, leading to reliable growth of wafer‐sized graphene films of defined layer‐thickness and superior electrical–optical properties. This “smart”‐substrate strategy can also be implemented on Si and SiO2 supports, paving the way toward the direct fabrication of large area, graphene‐enabled electronic and photonic devices.
The Global Transcriptional Response of Isolated Human Islets of Langerhans to Glucagon-Like Peptide-1 Receptor Agonist Liraglutide

GLP-1 and its analog have been used in diabetes treatment; however, the direct alteration of gene expression profile in human islets induced by GLP-1 has not been reported. In present study, transcriptional gene expression in the liraglutide-treated human islets was analyzed with 12 human U133A chips including 23000 probe sets. The data compared between liraglutide and control groups showed a significant difference on glucose-induced insulin secretion, rather than viability. Microarray analysis identified 7000 genes expressed in human islets. Eighty genes were found to be modulated by liraglutide treatment. Furthermore, the products of these genes are proteins involved in binding capability, enzyme activity, transporter function, signal transduction, cell proliferation, apoptosis, and cell differentiation. Our data provides a set of information in the complex events, following the activation of the GLP-1 receptor in the islets of Langerhans.
Design of 20-GHz low noise amplifier for automotive collision avoidance application

Low-noise amplifier (LNA) is a very critical component in terms of its functionality in a transceiver. This paper presents design of a 20-GHz low-noise amplifier in TSMC 0. 18μm technology. The design utilizes multi-stage topology which includes three transistors. First-stage is a single ended common-source topology while the second stage is current reused topology. Post layout simulations show that the proposed LNA exhibits gain of 14.7dB, noise figure of 3.4dB while it consumes only 10.62mW. Moreover, the chip area of the LNA is 0.5175mm2.
Detecting non-gaussian geographical topics in tagged photo collections

Nowadays, large collections of photos are tagged with GPS coordinates. The modelling of such large geo-tagged corpora is an important problem in data mining and information retrieval, and involves the use of geographical information to detect topics with a spatial component. In this paper, we propose a novel geographical topic model which captures dependencies between geographical regions to support the detection of topics with complex, non-Gaussian distributed spatial structures. The model is based on a multi-Dirichlet process (MDP), a novel generalisation of the hierarchical Dirichlet process extended to support multiple base distributions. Our method thus is called the MDP-based geographical topic model (MGTM). We show how to use a MDP to dynamically smooth topic distributions between groups of spatially adjacent documents. In systematic quantitative and qualitative evaluations using independent datasets from prior related work, we show that such a model can exploit the adjacency of regions and leads to a significant improvement in the quality of topics compared to the state of the art in geographical topic modelling.