gebhart/patrepeval huggingface dataset:
Magnetic Phase Transitions in Intermetallic GdNi<sub>5-x</sub>Sn<sub>1+x</sub>and TbNi<sub>5-x</sub>Sn<sub>1+x</sub>Compounds (1997)

Magnetization measurements were performed for intermetallic compounds GdNi5x Sn1+ x and bNi 5x Sn 1+x in the temperature range from 4.5 K to 280 K and in magnetic field up to 50 kOe. Complex magnetic phase diagram was revealed for both compounds. The results are discussed assuming three-sublattice magnetic structure and partial disordering of the structure.
Leptomycin B, an Inhibitor of the Nuclear Export Receptor CRM1, Inhibits COX-2 Expression (2003)

Cyclooxygenase (COX)-2, the inducible prostaglandin synthase, is overexpressed in cancer and chronic inflammatory diseases. Post-transcriptional regulation of COX-2 mRNA is important in controlling the expression of the COX-2 gene. Here, we report that leptomycin B (LMB), a specific inhibitor of the nuclear export factor CRM1 potently inhibits the stabilization of COX-2 mRNA in MDA-MB-231 human mammary cancer cells. However, COX-2 promoter-driven reporter gene expression is not inhibited by LMB, suggesting that LMB acts at the post-transcriptional level. Subcellular fractionation experiments indicate that LMB inhibited the time-dependent export of COX-2 mRNA into the membrane-bound polysomal compartment at the endoplasmic reticulum. LMB suppressed COX-2 expression by interleukin-1beta in HT-29 human colon cancer cells and in human umbilical vein endothelial cells but had no effect on COX-2 expression induced by Escherichia coli lipopolysaccharide in monocytic THP-1 cells. These data suggest that the nuclear export of COX-2 mRNA may be rate-liming in a cell-specific manner. LMB may be useful to control COX-2 expression in various human diseases in which COX-2 plays a pathogenetic role.
Unsupervised clustering with spiking neurons by sparse temporal coding and multilayer RBF networks (2002)

We demonstrate that spiking neural networks encoding information in the timing of single spikes are capable of computing and learning clusters from realistic data. We show how a spiking neural network based on spike-time coding and Hebbian learning can successfully perform unsupervised clustering on real-world data, and we demonstrate how temporal synchrony in a multilayer network can induce hierarchical clustering. We develop a temporal encoding of continuously valued data to obtain adjustable clustering capacity and precision with an efficient use of neurons: input variables are encoded in a population code by neurons with graded and overlapping sensitivity profiles. We also discuss methods for enhancing scale-sensitivity of the network and show how the induced synchronization of neurons within early RBF layers allows for the subsequent detection of complex clusters.
The Benefits of Plant Extracts for Human Health (2020)

Nature has always been, and still is, a source of foods and ingredients that are beneficial to human health [...].
Robot Obstacle Avoidance Controller Based on Deep Reinforcement Learning (2022)

As the core technology in the field of mobile robots, the development of robot obstacle avoidance technology substantially enhances the running stability of robots. Built on path planning or guidance, most existing obstacle avoidance methods underperform with low efficiency in complicated and unpredictable environments. In this paper, we propose an obstacle avoidance method with a hierarchical controller based on deep reinforcement learning, which can realize more efficient adaptive obstacle avoidance without path planning. The controller, with multiple neural networks, contains an action selector and an action runner consisting of two neural network strategies and two single actions. Action selectors and each neural network strategy are separately trained in a simulation environment before being deployed on a robot. We validated the method on wheeled robots. More than 200 tests yield a success rate of up to 90%.
A Local Wavelet Transform Implementation Versus An Optimal Row-Column Algorithm For The 2D Multilevel Decomposition (2001)

A new method for the implementation of the binary-tree decomposition of the convolution-based wavelet transform, called the Local Wavelet Transform (LWT) has been recently proposed in the literature. While it produces exactly the same results as the classical row-column implementation of the transform, it has many implementation benefits. In this paper, this fact is shown experimentally for the first time for a general-purpose processor-based architecture, by comparing our C implementation of the LWT with an optimal C implementation of the lifting-scheme row-column algorithm. The comparisons are made for the forward multilevel binary-tree decomposition using the 9/7 filter pair, in the typical Intel Pentium processor family.
Heterodimensional field effect transistors for ultra low power applications (2002)

We describe a new class of field effect transistors (FETs) based on a heterodimensional contact between a three-dimensional gate (metal or semiconductor) and a two-dimensional electron gas. The heterodimensional FET family (2D MESFET, 2DI MESFET, and 2D JFET) has shown significant promise for future high speed, ultra low power applications. We review the recent developments, and report on a new fully ion implanted quasi-heterodimensional FET, the coax-2D JFET.
Defining a local arterial input function for perfusion MRI using independent component analysis (2004)

Quantification of cerebral blood flow (CBF) using dynamic-susceptibility contrast MRI relies on the deconvolution of the arterial input function (AIF), which is commonly estimated from the signal changes in a major artery. However, it has been shown that the presence of bolus delay/dispersion between the artery and the tissue of interest can be a significant source of error. These effects could be minimized if a local AIF were used, although the measurement of a local AIF can be problematic. This work describes a new methodology to define a local AIF using independent component analysis (ICA). The methodology was tested on data from patients with various cerebrovascular abnormalities and compared to the conventional approach of using a global AIF. The new methodology produced higher CBF and shorter mean transit time values (compared to the global AIF case) in areas with distorted AIFs, suggesting that the effects of delay/dispersion are minimized. The minimization of these effects using the calculated local AIF should lead to a more accurate quantification of CBF, which can have important implications for diagnosis and management of patients with cerebral ischemia.
Multimedia services and applications (1991)

Abstract Multimedia communications is the field referring to the representation, storage, retrieval and dissemination of machine‐processable information expressed in multiple media, such as text, voice, graphics, image, audio and video. With the advent of high capacity storage devices powerful and yet economical computer workstations and high‐speed integrated services digital networks providing a variety of multimedia communications services are becoming not only technically but also economically feasible. Applications in medicine, education, travel, real‐estate, banking, insurance, administration and publishing and advertising are emerging at a fast pace. These applications are characterized by large multimedia documents that have to be communicated within very short delays. Computer‐controlled cooperative work, whereby a group of users can jointly view, create, edit and discuss multimedia documents is going to be characteristic of many transactions in the year 2000. In this paper, we review the activity in Multimedia Communications, Services and Applications.
Error activity and error entropy as a measure of psychoacoustic significance in the perceptual domain (1994)

Several models have been described in the literature which seek to represent audio stimuli in the perceptual domain to best predict the audibility of errors and distortions. By modelling the principal nonlinear processes of human hearing it is possible to calculate a perceptual domain error surface that represents the audible difference between distorted and original audio signals. A further stage of analysis is required to maximise the usefulness of the auditory model output. The audible error surface must be interpreted to produce an estimate of the overall subjective judgement which would result from the particular distortion. Ideally, the interpretation of the error surface should be broadly analogous to human perceptual mechanisms, and equally, it would be desirable to avoid the complex and cumbersome statistical mapping and clustering techniques proposed by some authors. A technique employed in adaptive transform coding of images, namely cell entropy, offered several desired properties. The paper reports the extension and application of such a technique to the interpretation of perceptual-domain error surfaces produced by an auditory model. Speech data were subjected to an example, algorithmically generated, nonlinear distortion and then processed by the auditory model. The usefulness of the error-activity and error-entropy quantities are illustrated, without optimisation, by comparison of model predictions and experimentally determined opinion scores.
InvisiSpec: Making Speculative Execution Invisible in the Cache Hierarchy (2018)

Hardware speculation offers a major surface for micro-architectural covert and side channel attacks. Unfortunately, defending against speculative execution attacks is challenging. The reason is that speculations destined to be squashed execute incorrect instructions, outside the scope of what programmers and compilers reason about. Further, any change to micro-architectural state made by speculative execution can leak information. In this paper, we propose InvisiSpec, a novel strategy to defend against hardware speculation attacks in multiprocessors by making speculation invisible in the data cache hierarchy. InvisiSpec blocks micro-architectural covert and side channels through the multiprocessor data cache hierarchy due to speculative loads. In InvisiSpec, unsafe speculative loads read data into a speculative buffer, without modifying the cache hierarchy. When the loads become safe, InvisiSpec makes them visible to the rest of the system. InvisiSpec identifies loads that might have violated memory consistency and, at this time, forces them to perform a validation step. We propose two InvisiSpec designs: one to defend against Spectre-like attacks and another to defend against futuristic attacks, where any speculative load may pose a threat. Our simulations with 23 SPEC and 10 PARSEC workloads show that InvisiSpec is effective. Under TSO, using fences to defend against Spectre attacks slows down execution by 74% relative to a conventional, insecure processor; InvisiSpec reduces the execution slowdown to only 21%. Using fences to defend against futuristic attacks slows down execution by 208%; InvisiSpec reduces the slowdown to 72%.
Morphological studies of a triblock copolymer ionomer by small-angle x-ray scattering (1993)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTMorphological studies of a triblock copolymer ionomer by small-angle x-ray scatteringXinya Lu, W. P. Steckle Jr., and R. A. WeissCite this: Macromolecules 1993, 26, 24, 6525–6530Publication Date (Print):November 1, 1993Publication History Published online1 May 2002Published inissue 1 November 1993https://doi.org/10.1021/ma00076a033RIGHTS & PERMISSIONSArticle Views501Altmetric-Citations52LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (2 MB) Get e-Alerts Get e-Alerts
Effect of crystal orientation on the implant profile of 60 keV Al into 4H-SiC crystals (2003)

4H-SiC wafers of orientations (0001) and (112̄0) were implanted with 60 keV Al− in different major axial, planar, and low symmetry (“random”) directions to ascertain the degree of channeling and to determine the optimum tilt conditions for ion implantation. Significant channeling was observed for all axial directions with the [112̄0] channel exhibiting the deepest channeling with a maximum penetration depth 45 times greater than the projected range of the random implants. Significant channeling was observed for the {112̄0} and especially the {0001} planar channels while the implants in the {101̄0} planar channels did not differ from the corresponding random implants. To minimize channeling in (0001) crystals, our results show that beam alignment normal to the surface is advisable for off-axis (0001) wafers with the miscut toward 〈112̄0〉, while tilting of the wafer is necessary when the miscut is toward 〈101̄0〉. For the (112̄0) material, channeling can be minimized by a tilt of ≳10° toward the [0001] direction.
The incidence of glove puncture during caesarean section (1990)

SummaryFollowing 200 caesarean sections the operators' gloves were examined for perforations. In 107 (54%) of the cases one or both of the surgeon's gloves were perforated. The frequency of perforation was the same in elective and in emergency caesarean sections, but was less if the uterus was not eventrated. The frequency of glove perforation in this study is the highest of any surgical operation yet reported.
Controller Synthesis of a Bidirectional Inductive Power Interface for electric vehicles (2012)

Bidirectional Inductive Power Transfer (IPT) systems are preferred for Vehicle-to-Grid (V2G) applications. Typically, bidirectional IPT systems consist of high order resonant networks, and therefore, the control of bidirectional IPT systems has always been a difficulty. To date several different controllers have been reported, but these have been designed using steady-state models, which invariably, are incapable of providing an accurate insight into the dynamic behaviour of the system A dynamic state-space model of a bidirectional IPT system has been reported. However, currently this model has not been used to optimise the design of controllers. Therefore, this paper proposes an optimised controller based on the dynamic model. To verify the operation of the proposed controller simulated results of the optimised controller and simulated results of another controller are compared. Results indicate that the proposed controller is capable of accurately and stably controlling the power flow in a bidirectional IPT system.
Putting domain decomposition at the heart of a mesh‐based simulation process (2002)

Abstract In computational mechanics analyses such as those in computational fluid dynamics and computational structure mechanics, some 60‐90% of total modelling time is taken by specifying and creating the model of the geometry and mesh. The rest of the time is spent in actual analyses and interpreting the results. This is especially true for industries such as aerospace and electronics, where 3D geometrically complex models with multiple physical processes are common. Advances in computational hardware and software have tended to increase the proportion of time spent in model creation, partly because such advances have made it feasible to solve hard and complex geometry problems in a timely fashion. This paper shows one way to exploit the advances in computation to reduce the model creation time and potentially the overall modelling time, namely the use of domain decomposition to define consistent and coherent global models based on existing component geometry and mesh models. In keeping with existing modelling processes the re‐engineering cost for the process is minimal. Copyright © 2002 John Wiley & Sons, Ltd.
Lipid changes during basal insulin peglispro, insulin glargine, or <scp>NPH</scp> treatment in six <scp>IMAGINE</scp> trials (2016)

Basal insulin peglispro (BIL) is a novel basal insulin with hepato-preferential action resulting from reduced peripheral effects. This report provides an integrated summary of lipid changes at 26 weeks with BIL and comparator insulins (glargine, NPH) from phase III studies in type 1 diabetes (T1D), insulin-naïve patients with type 2 diabetes (T2D), patients with T2D on basal insulin only and patients with T2D on basal-bolus therapy. BIL treatment had little effect on HDL cholesterol and LDL cholesterol in all patients. The effect of both BIL and glargine treatment on triglycerides (TG) depended on whether patients had been previously treated with insulin. When BIL replaced conventional insulin glargine or NPH treatments, increases in TG levels were observed. When BIL or comparator insulins were given for 26 weeks to insulin-naïve patients with T2D, TG levels were unchanged from baseline with BIL but decreased with either glargine or NPH. The decreased peripheral action of BIL may reduce suppression of lipolysis in peripheral adipose tissue resulting in increased free fatty acid delivery to the liver and, hence, increased hepatic TG synthesis and secretion.
The δ<sup>15</sup>N signature of the detrital food web tracks a landscape-scale soil phosphorus gradient in a Costa Rican lowland tropical rain forest (2012)

Abstract: In this study, we investigated whether landscape-scale variation of soil P accounts for 13 C and 15 N composition of detrital invertebrates in a lowland tropical rain forest in Costa Rica. The top 10-cm soil, leaf-litter samples and plant foliage were collected among 18 plots representing a three-fold soil P gradient during 2007–2009. Body tissue of litter invertebrates (extracted from leaf-litter samples) along with soil, leaf litter and green foliage were analysed for total C, total N, δ 13 C and δ 15 N values. Differences in δ 13 C and δ 15 N signatures across plots and relative trophic distances of detrital food webs (Δ δ 15 N), and their variation with soil P gradient were evaluated. We found soil P gradient had a significantly positive correlation with δ 15 N of Asterogyne martiana foliage, leaf litter, collembolans and oribatid mites. The δ 15 N of the collembolans and pseudoscorpions positively correlated to leaf-litter δ 15 N. Δ δ 15 N between the trophic levels remained consistent across the soil P gradient. Higher δ 15 N in the collembolans and oribatid mites might be derived from their consumption on 15 N-enriched decayed debris or fungal hyphae growing on it. It suggests that fine-scale soil P variation can affect trophic dynamics of detrital arthropods via regulation of microbial community and nutrient dynamics.
Kinematic displacement analysis of a double-Cardan-joint driveline (1991)

The input-output displacement relations of two Cardan joints arranged in series on a driveline has been investigated in detail, including the effects of unequal joint angles, the phase angle between the two Cardan joints and also such manufacturing tolerance errors as nonright angle moving link lengths and offset joint axes. A combined Newton-Raphson method and Davidon-Fletcher-Powell optimization algorithm using dual-number coordinate-transformation matrices was employed to perform the analysis. An experiment was conducted to validate the results of the analysis. The apparatus consisted of a double-Cardan-joint driveline whose rotations were measured by optical shaft encoders that were sampled by a computer data-acquisition system. The equipment was arranged so that the phase angle between the joints and the offset angles between the shafts at each of the two joints could be readily varied. The “relative phase angle,” the difference between the phase angle of the two joints and the angle between the planes defined by the input and intermediate and the intermediate and output shafts, was found to be the significant factor. If the offset angles at both Cardan joints are equal, the double-Cardan-joint driveline functions as a constant-velocity coupling when the magnitude of the relative phase angle is zero. If the offset angles at the two Cardan joints are unequal, a condition prevailing in the important front-wheel-drive automobile steering-column application, then fluctuation in output velocity for a constant input velocity is minimized although not eliminated for zero relative phase angle.
Editorial (2017)

Desde el Jardín de Freud se encuentra indexada en el IBN-Publindex (Colciencias), en categoría C, y en las siguientes bases de datos y catálogos: EBSCO, ProQuest, CLASE, Latindex, Dialnet, Rebiun, Doaj, e-Revistas y Biblioteca virtual Luis Ángel Arango.
Application of Seismic Attribute Filtering with Factorial Kriging to Estimate Porous Volume: A Case Study on a Brazilian East Coast Offshore Turbidite Reservoir (2001)

Abstract The estimation of reservoir properties is a risky issue. Uncertainties come around; the number of wells (hard data) is often low and poorly distributed. Densely sampled, 3D seismic information (soft information) has been seen as a key to reducing interwell uncertainties. As it is well known, however, even after seismic processing, noises and sign distortions remain if not introduced by the processing itself. Moreover, inconsistency in horizons picking, during interpretation, worsens the quality of the obtained attributes with corresponding impact for its use as a predictive variable for reservoir mean properties estimation. In this paper, we discuss incorporation of seismic attributes filtered by Factorial Kriging via conditional simulation on reservoir porous volume estimation. The seismic attribute mean acoustic impedance obtained from a 3D seismic program with seismic stratigraphic inversion is considered. It shows itself to be well correlated to the porous thickness of the reservoir interval under consideration. A nested corregionalized model, which presented two structures, was fitted to the attribute. The small range associated to data noises was filtered by Factorial Kriging, which improved the correlation between the acoustic impedance and the porous thickness. The dispersion of the conditional simulation constrained by the filtered seismic attribute is lower than the dispersion of the conditional simulation constrained by the pre-filtering attribute, reducing the uncertainty of the reservoir porous volume estimation.
Detection of Deoxygenation-Related Signal Change in Acute Ischemic Stroke Patients by T2*-Weighted Magnetic Resonance Imaging (2002)

DSC-MR images allow detection of hypointensity in the affected cerebral hemisphere in acute ischemic stroke patients. Such hypointensity may indicate increased oxygen extraction fraction (misery perfusion) and may provide information valuable to patient care.