gebhart/patrepeval huggingface dataset:
Simulation of anisotropic diffusion processes in fluids with smoothed particle hydrodynamics (2016)

Summary Anisotropic diffusion phenomenon in fluids is simulated using smoothed particle hydrodynamics (SPH). A new SPH approximation for diffusion operator, named anisotropic SPH approximation for anisotropic diffusion (ASPHAD), is derived. Basic idea of the derivation is that anisotropic diffusion operator is first approximated by an integral in a coordinate system in which it is isotropic. The coordinate transformation is a combination of a coordinate rotation and a scaling in accordance with diffusion tensor. Then, inverse coordinate transformation and particle discretization are applied to the integral to achieve ASPHAD. Noting that weight function used in the integral approximation has anisotropic smoothing length, which becomes isotropic under the inverse transformation. ASPHAD is general and unique for both isotropic and anisotropic diffusions with either constant or variable diffusing coefficients. ASPHAD was numerically examined in some cases of isotropic and anisotropic diffusions of a contaminant in fluid, and the simulation results are very consistent with corresponding analytical solutions. Copyright © 2016 John Wiley &amp; Sons, Ltd.
Aplicación de espectroscopía in-situ a catalizadores en forma monolítica en condiciones de reacción (2012)

Trabajo presentado en el XXIII Congreso Iberoamericano de Catalisis (CICAT2012), celebrada en Santa Fe (Argentina) del 2 al 7 de septiembre de 2012.
Estimating SURA's Cost (1985)

Share Icon Share Twitter Facebook Reddit LinkedIn Reprints and Permissions Cite Icon Cite Search Site Citation William M. Brobeck; Estimating SURA's Cost. Physics Today 1 January 1985; 38 (1): 13. https://doi.org/10.1063/1.2813693 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentPhysics Today Search Advanced Search
Grid Design for Efficient and Accurate Point Mass Filter-Based Terrain Referenced Navigation (2017)

This paper proposes an optimal grid design method for point mass filter-based terrain referenced navigation (PTRN) by considering the process and measurement uncertainties or noise to efficiently obtain accurate results. The estimation performance of the point mass filter (PMF) is generally known to improve when very large support and a high-resolution grid are implemented. However, when this condition is applied to the PTRN, the algorithm cannot be executed in real-time due to the high computational load. In addition, even though the grid condition is improved, the filter accuracy is limited by the given process and measurement noises. Therefore, it is possible to perform efficient and accurate PTRN by finding the minimum number of grid points that can achieve the maximum performance. In this paper, a grid design method is carried out by considering each noise, and the selection logic between the two design results are proposed. By applying the proposed grid design method, it is possible to obtain almost the same accuracy as the results that are obtained when a very high resolution is applied, with a much lower computational load, and it is expected for the highly accurate PTRN to be available in real-time.
A hybrid approach to object library classification and retrieval (2002)

A hybrid approach, which combines a faceted scheme and free test analysis, is proposed for classifying and retrieving reusable software components. In our approach, the facet scheme is extended by associating a set of index words, instead of just one, with each facet. The index words are extracted using free test analysis and are ranked by their significance. We also conducted two simple experiments to evaluate the effectiveness of our approach and to determine the factors that contribute to the effectiveness of retrieval. We also found that, free test analysis may still introduce noise, even after two cutoffs are used to remove irrelevant index words. Thus, it may be necessary that, after free test analysis, a filtering phase should be performed for improving retrieval effectiveness.
Destination-based congestion awareness for adaptive routing in 2D mesh networks (2013)

The choice of routing algorithm plays a vital role in the performance of on-chip interconnection networks. Adaptive routing is appealing because it offers better latency and throughput than oblivious routing, especially under nonuniform and bursty traffic. The performance of an adaptive routing algorithm is determined by its ability to accurately estimate congestion in the network. In this regard, maintaining global congestion state using a separate monitoring network offers better congestion visibility into distant parts of the network compared to solutions relying only on local congestion. However, the main challenge in designing such routing schemes is to keep the logic and bandwidth overhead as low as possible to fit into the tight power, area, and delay budgets of on-chip routers. In this article, we propose a minimal destination-based adaptive routing strategy (DAR), where every node estimates the delay to every other node in the network, and routing decisions are based on these per-destination delay estimates. DAR outperforms Regional Congestion Awareness (RCA), the best previously known adaptive routing algorithm that uses nonlocal congestion state. The performance improvement is brought about by maintaining fine-grained per-destination delay estimates in DAR that are more accurate than regional congestion metrics measured in RCA. The increased accuracy is a consequence of the fact that the per-destination delay estimates are not corrupted by congestion on links outside the admissible routing paths to the destination. A scalable version of DAR, referred to as SDAR, is also proposed for minimizing the overheads associated with DAR in large network topologies. We show that DAR outperforms local adaptive routing by up to 79% and RCA by up to 58% in terms of latency on SPLASH-2 benchmarks. DAR and SDAR also outperform existing adaptive and oblivious routing algorithms in latency and throughput under synthetic traffic patterns on 8×8 and 16times;16 mesh topologies, respectively.
Large-scale Fully-Unsupervised Re-Identification (2023)

Fully-unsupervised Person and Vehicle Re-Identification have received increasing attention due to their broad applicability in surveillance, forensics, event understanding, and smart cities, without requiring any manual annotation. However, most of the prior art has been evaluated in datasets that have just a couple thousand samples. Such small-data setups often allow the use of costly techniques in time and memory footprints, such as Re-Ranking, to improve clustering results. Moreover, some previous work even pre-selects the best clustering hyper-parameters for each dataset, which is unrealistic in a large-scale fully-unsupervised scenario. In this context, this work tackles a more realistic scenario and proposes two strategies to learn from large-scale unlabeled data. The first strategy performs a local neighborhood sampling to reduce the dataset size in each iteration without violating neighborhood relationships. A second strategy leverages a novel Re-Ranking technique, which has a lower time upper bound complexity and reduces the memory complexity from O(n^2) to O(kn) with k &lt;&lt; n. To avoid the pre-selection of specific hyper-parameter values for the clustering algorithm, we also present a novel scheduling algorithm that adjusts the density parameter during training, to leverage the diversity of samples and keep the learning robust to noisy labeling. Finally, due to the complementary knowledge learned by different models, we also introduce a co-training strategy that relies upon the permutation of predicted pseudo-labels, among the backbones, with no need for any hyper-parameters or weighting optimization. The proposed methodology outperforms the state-of-the-art methods in well-known benchmarks and in the challenging large-scale Veri-Wild dataset, with a faster and memory-efficient Re-Ranking strategy, and a large-scale, noisy-robust, and ensemble-based learning approach.
Evaluation of expanded polytetrafluoroethylene (ePTFE) versus polydioxanone (PDS) for the repair of dura mater defects (1999)

A comparative animal experimental study was performed to test the potential application of expanded polytetrafluoroethylene (ePTFE) vs. polydioxanone (PDS) as dural substitutes. Sixty male Sprague-Dawley rats underwent a right frontoparietal craniotomy, opening of the dura mater, and a small cortical lesion. The dural defect was covered with a piece of ePTFE or PDS. Animals were sacrificed at 30 days or 90 days. Following decalcification, heads including scalp, skull, and underlying brain were sectioned, stained with hematoxylin-eosin, and histologically analyzed. Dural defects repaired with ePTFE, showed minimal reactive changes and no adhesions to the brain surface. No foreign body type giant cell reaction was seen, and the graft became enclosed in a thin sheet of connective tissue. Dural defects repaired with PDS, showed some giant cell infiltration and ingrowth of collagen fibers. Both substitutes provided satisfactory biological function and biocompatibility. Expanded PTFE advantages included relative suppression of tissue ingrowth, ensheathment by connective tissue, and a high tearing strength. Although both materials show promise for use in dural grafting, further clinical studies are necessary to determine their potential applications as a human dural substitute.
Unidades militares de guarnición en Cáceres, acuartelamientos y vicisitudes hospitalarias (1830-1900) (2012)

espanolTema poco tratado bibliograficamente. El asentamiento de unidades militares de forma fija en Caceres no ha arraigado, a pesar de los esfuerzos de las autoridades municipales, por lo tanto las fuerzas acuarteladas en ella durante el siglo XIX, tras la guerra de la independencia, han sido escasas en numeros y en tiempo de establecimiento, por lo que practicamente las unidades que venian, lo hacian de forma rotativa. Comienza el trabajo desde 1835 coincidiendo con el mayor aporte de datos, a traves de los libros de enterramientos del Hospital Civil, con lo que se aprovecha para hacer mencion de los tres centros hospitalarios que hubo en Caceres en ese siglo EnglishThe subject has, bibliographilly, been sparsely dealt with.The garrisoning of military Units in Caceres on a permanent basis never succeeded totally in spite of efforts made by the Local Authorities This resulted in that the Military Forces established there during the XIX Century, after the Peninsular War, were few in number and for short periods, in practical terms giving a rotative character to their commissioning. The work herewith presented, commences in 1835 coinciding with a profussion of data obtained from the burial records of the Civil Hospital, giving the opportunity to mention the three Hospital Centres established in Caceres during that Century
Eight genotypes (A–H) of hepatitis B virus infecting patients from San Francisco and their demographic, clinical, and virological characteristics (2004)

Clinical lines of evidence have been accumulated that hepatitis B virus (HBV) genotypes have characteristic geographical distributions and distinct clinical impact on liver diseases. The distribution of HBV genotypes was determined with reference to hepatitis B e antigen (HBeAg) and alanine aminotransferase (ALT) levels in 165 patients with hepatitis B in San Francisco. HBV genotypes were determined by enzyme-linked immunosorbent assay (ELISA) and the unclassified samples were sequenced within the S region for phylogenetic analysis. Genotype A occurred in 60 (36%) patients, B in 16 (10%), C in 56 (34%), D in 19 (12%), E in 1 (1%), F in 1 (1%), G in 8 (5%), and H in 4 (2%). Caucasians were infected predominantly with HBV genotype A (HBV/A) (38 of 57 [67%]), Asians with HBV/C (45 of 63 [71%]), and Hispanics with HBV/F and HBV/H (4 of 9 [44%]). Serum ALT levels were higher in the patients infected with HBV/A (P = 0.03) or HBV/G (P = 0.02) than HBV/C. HBeAg was more frequent in patients infected with HBV/G than HBV/C or HBV/D (7 of 8 [88%] vs. 25 of 56 [45%] or 6 of 19 [32%], P = 0.03 or 0.01). In conclusion, eight genotypes (A-H) were identified in San Francisco in association with various ethnicities and then influenced ALT levels as well as the prevalence of serum HBeAg. HBV genotype H might be identified by combination of preS2 serotpe bksf and HBsAg serotype adw.
Novel treatment for immune neuropathies on the horizon (2011)

Immune neuropathies represent a heterogeneous spectrum of acute and chronic peripheral nerve disorders of autoimmune origin. Despite the current available treatment options, immune neuropathies are still associated with severe neurological deficits and poor clinical prognosis. However, during the last years, significant advances have been made in unraveling some of the underlying pathomechanisms. The exploration of novel therapeutic approaches including monoclonal antibodies and oral immunosuppressants, known from other autoimmune disorders such as multiple sclerosis, suggests new approaches to treatment. Here, we review the available clinical data as well as the scientific rationale and expected benefits and risks for these strategies.
Structure of Turbulent Gas Flow under Conditions of Hydrodynamic Nonstationarity (2000)

A method of measurement is found and some experiments are made concerning the determination of the longitudinal and radial components of the air speed in a tube with a time history of the gas flow rate. A constant temperature thermoanemometer with an X-shaped movable probe was used. Different profiles of the longitudinal and radial velocity components, their fluctuations and for correlations are presented for accelerating and decelerating flows. It is shown that in unsteady processes these parameters differ substantially from their quasisteady values. The validity of the hydrodynamic unsteady parameter as an integral parameter for the generalization of experimental data is substantiated.
Semi-supervised understanding of complex activities from temporal concepts (2016)

Methods for action recognition have evolved considerably over the past years and can now automatically learn and recognize short term actions with satisfactory accuracy. Nonetheless, the recognition of complex activities - compositions of actions and scene objects - is still an open problem due to the complex temporal and composite structure of this category of events. Existing methods focus either on simple activities or oversimplify the modeling of complex activities by targeting only whole-part relations between its sub-parts (e.g., actions). In this paper, we propose a semi-supervised approach that learns complex activities from the temporal patterns of concept compositions (e.g., “slicing-tomato” before “pouring into-pan”). We demonstrate that our method outperforms prior work in the task of automatic modeling and recognition of complex activities learned out of the interaction of 218 distinct concepts.
ChemInform Abstract: Ring‐Opening Polymerization and Ring‐Closing Depolymerization (1994)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
Compressor tree synthesis on commercial high-performance FPGAs (2011)

Compressor trees are a class of circuits that generalizes multioperand addition and the partial product reduction trees of parallel multipliers using carry-save arithmetic. Compressor trees naturally occur in many DSP applications, such as FIR filters, and, in the more general case, their use can be maximized through the application of high-level transformations to arithmetically intensive data flow graphs. Due to the presence of carry-chains, it has long been thought that trees of 2- or 3-input carry-propagate adders are more efficient than compressor trees for FPGA synthesis; however, this is not the case. This article presents a heuristic for FPGA synthesis of compressor trees that outperforms adder trees and exploits carry-chains when possible. The experimental results show that, on average, the use of compressor trees can reduce critical path delay by 33% and 45% respectively, compared to adder trees synthesized on the Xilinx Virtex-5 and Altera Stratix III FPGAs.
Study of the Seismic Design Parameters of Long-Distance Pipelines (2012)

The seismic design of long-distance pipelines is very important because the earthquake could lead to serious damages to pipelines and bring secondary disasters or major economic losses. The destruction of the seismic action on the pipelines can be divided into two categories: one is the strong ground motion, the other is the permanent deformation of the ground, including fault moving out of place, liquefaction of sand, landslide, and so on. The different destruction reasons would affect the long-distance pipelines in different ways. In this paper, the effect was analyzed by giving examples from home and abroad. The impact of the earthquake to pipelines with different seismic design parameters is different as also, the paper carried out the relative study using the finite element knowledge, the seismic design parameters being researched including seismic peak ground acceleration , pipe diameter, pipeline depth and the type of backfill for buried pipelines (soil density, friction coefficient, overburden compaction multiplier), the study acquired the corresponding distribution relationships of the above parameters with pipe stress in earthquake; Finally, the paper raised the seismic design measures for long-distance pipelines combine with the research results, the study of this paper has positive significance for the seismic design of long-distance pipelines.
Combining Unsupervised and Supervised Artificial Neural Networks to PredictAquatic Toxicity (2004)

Most quantitative structure-activity relationship (QSAR) models are linear relationships and significant for only a limited domain of compounds. Here we propose a data-driven approach with a flexible combination of unsupervised and supervised neural networks able to predict the toxicity of a large set of different chemicals while still respecting the QSAR postulates. Since QSAR is applicable only to similar compounds, which have similar biological and physicochemical properties, large numbers of compounds are clustered before building local models, and local models are ensembled to obtain the final result. The approach has been used to develop models to predict the fish toxicity of Pimephales promelas and Tetrahymena pyriformis, a protozoan.
Near-field plasmonic enhancement via nanogratings on hollow pyramidal aperture probe tip (2010)

We present the design of hollow near-field scanning microscope (NSOM) probe with nanogratings-on-tip to transport and concentrate localized surface plasmonic polariton (SPP) wave. By adding nano-grooves started from the intensity-maximum locations of lowest transmission mode and with pitch period supporting the metal-air interface SPP mode, the power throughput is increased at over 530 times comparing with single aperture probe with 405 nm source and 100 nm diameter aperture size. Two types of nanograting probe designs are chosen for fabrication and the power enhancement comparison is examined by probing the near-field fluorescent intensity of excited uniform quantum dots (QDs) layer via micro-contact printing method.
Faculty of 1000 evaluation for Minimised closed circuit coronary artery bypass grafting in the elderly is associated with lower levels of organ-specific biomarkers: A prospective randomised study. (2013)

Read the full review for this Faculty Opinions recommended article: Minimised closed circuit coronary artery bypass grafting in the elderly is associated with lower levels of organ-specific biomarkers: a prospective randomised study.
Susceptibility of porcine cytomegalovirus to antiviral drugs (2003)

Objectives: Re-activation of porcine cytomegalovirus (PCMV) in the xenograft has been reported in pig-to-baboon models of xenotransplantation and is associated with invasive disease and consumptive coagu-lopathy. If xenotransplantation of porcine organs into human recipients is to proceed, donor organs will have to be free from a wide range of infectious agents including PCMV. However, it is prudent to characterize the antiviral susceptibility of this virus. We therefore investigated the effect of selected antiviral agents, currently licensed for the treatment of human herpesvirus infections, on PCMV replication. Methods: Antiviral susceptibility was determined using real-time PCR and indirect immunofluorescence measurements in a porcine fallopian tube cell line infected with PCMV. Results: PCMV replication was significantly inhibited by ganciclovir and cidofovir (both EC50 &amp;lt; 1 mg/L) and to a lesser extent by foscarnet (EC50 within range 25–50 mg/L) and aciclovir (EC50&amp;gt; 25 mg/L). Conclusions: These results show that, if it proves necessary, ganciclovir and cidofovir should be consid-ered as first-line drugs to treat PCMV infections in xenograft recipients.
<title>Virtual fixtures as tools to enhance operator performance in telepresence environments</title> (1993)

This paper introduces the notion of virtual fixtures for use in telepresence systems and presents an empirical study which demonstrates that such virtual fixtures can greatly enhance operator performance within remote environments. Just as tools and fixtures in the real world can enhance human performance by guiding manual operations, providing localizing references, and reducing the mental processing required to perform a task, virtual fixtures are computer generated percepts overlaid on top of the reflection of a remote workspace which can provide similar benefits. Like a ruler guiding a pencil in a real manipulation task, a virtual fixture overlaid on top of a remote workspace can act to reduce the mental processing required to perform a task, limit the workload of certain sensory modalities, and most of all allow precision and performance to exceed natural human abilities. Because such perceptual overlays are virtual constructions they can be diverse in modality, abstract in form, and custom tailored to individual task or user needs. This study investigates the potential of virtual fixtures by implementing simple combinations of haptic and auditory sensations as perceptual overlays during a standardized telemanipulation task.
Mechanistic Investigations of Alkane Activation and Reaction on Zeolitic Catalysts (2008)

TRUITT, MATTHEW JARROD.Mechanistic Investigations of Alkane Activation and Reaction on Zeolitic Catalysts.(Under the direction of Jeffery L. White.)Alkylates are branched hydrocarbons used in motor fuels to provide octane enhancements.Unfortunately current production methods require the use of environmentally dangerous materials and produce large quantities of hazardous wastes.Zeolites could provide a safer