gebhart/patrepeval huggingface dataset:
Influence of oxygen defects on the physical properties ofLa2CuO4−y (1987)

We present the results of magnetic-susceptibility, heat-capacity, electrical-resistivity, and thermoelectric-power measurements on ${\mathrm{La}}_{2}\mathrm{Cu}{\mathrm{O}}_{4\ensuremath{-}y}$. The crystallographic, magnetic, and electronic transport properties are found to be extremely sensitive to the oxygen-defect concentration $y$. Coupled with x-ray and neutron-diffraction data presented in a companion paper, we find that long-range antiferromagnetic order develops with increasing $y$ out of a nonmagnetic ground state at $y\ensuremath{\simeq}0$ into a state with a maximum N\'eel temperature of 290 K at $y\ensuremath{\simeq}0.03$.
Rollback-dependency trackability (1999)

When we consider an asynchronous distributed computation on which local checkpoints have been defined (namely, a communication and checkpoint pattern -in brief, CCP), two types of dependencies between its local checkpoints can be observed. The first type is due to causal sequences of messages that establish on-line trackable dependencies. The second type is due to noncausal sequences of messages (called Z-paths) that establish "hidden" dependencies between local checkpoints (a dependency is "hidden" if it can not be tracked online). The Rollback Dependency Trackability (RDT) property, defined by Y.-M. Wang, has been introduced to study CCPs. A CCP satisfies the RDT property if every pair of local checkpoints that are connected by a "hidden" dependency are also connected by a causal sequence of messages. The RDT property has a great interest: CCPs that satisfy this property allow relatively simple solutions to a lot of practical problems. This paper first introduces the notion of RDT-compliant property. In a given CCP, an X-path is a Z-path that satisfies a property X. The property X is RDT-compliant if every CCP without X-paths satisfies the RDT property. Then, the paper presents a particular RDT-compliant property. This property enjoys several very interesting features. (1) It is "visible" (i.e., it can be tested on-line).
Social LSTM: Human Trajectory Prediction in Crowded Spaces (2016)

Pedestrians follow different trajectories to avoid obstacles and accommodate fellow pedestrians. Any autonomous vehicle navigating such a scene should be able to foresee the future positions of pedestrians and accordingly adjust its path to avoid collisions. This problem of trajectory prediction can be viewed as a sequence generation task, where we are interested in predicting the future trajectory of people based on their past positions. Following the recent success of Recurrent Neural Network (RNN) models for sequence prediction tasks, we propose an LSTM model which can learn general human movement and predict their future trajectories. This is in contrast to traditional approaches which use hand-crafted functions such as Social forces. We demonstrate the performance of our method on several public datasets. Our model outperforms state-of-the-art methods on some of these datasets. We also analyze the trajectories predicted by our model to demonstrate the motion behaviour learned by our model.
Amniotic Membrane Implantation as a Therapeutic Contact Lens for the Treatment of Epithelial Disorders (2002)

Amniotic membrane implanted as a therapeutic contact lens can be an effective and safe option for the treatment of different epithelial defects. In patients with persistent epithelial defects, the number of cases with complete postoperative epithelialization was higher when the amniotic membrane remained in place longer. The early detachment of the amniotic membrane implant remains a major problem, even with the use of multiple fixation sutures.
Identification of Two Genes from Streptomyces argillaceus Encoding Glycosyltransferases Involved in Transfer of a Disaccharide during Biosynthesis of the Antitumor Drug Mithramycin (1998)

Mithramycin is an antitumor polyketide drug produced by Streptomyces argillaceus that contains two deoxysugar chains, a disaccharide consisting of two D-olivoses and a trisaccharide consisting of a D-olivose, a D-oliose, and a D-mycarose. From a cosmid clone (cosAR3) which confers resistance to mithramycin in streptomycetes, a 3-kb PstI-XhoI fragment was sequenced, and two divergent genes (mtmGI and mtmGII) were identified. Comparison of the deduced products of both genes with proteins in databases showed similarities with glycosyltransferases and glucuronosyltransferases from different sources, including several glycosyltransferases involved in sugar transfer during antibiotic biosynthesis. Both genes were independently inactivated by gene replacement, and the mutants generated (M3G1 and M3G2) did not produce mithramycin. High-performance liquid chromatography analysis of ethyl acetate extracts of culture supernatants of both mutants showed the presence of several peaks with the characteristic spectra of mithramycin biosynthetic intermediates. Four compounds were isolated from both mutants by preparative high-performance liquid chromatography, and their structures were elucidated by physicochemical methods. The structures of these compounds were identical in both mutants, and the compounds are suggested to be glycosylated intermediates of mithramycin biosynthesis with different numbers of sugar moieties attached to C-12a-O of a tetracyclic mithramycin precursor and to C-2-O of mithramycinone: three tetracyclic intermediates containing one sugar (premithramycin A1), two sugars (premithramycin A2), or three sugars (premithramycin A3) and one tricyclic intermediate containing a trisaccharide chain (premithramycin A4). It is proposed that the glycosyltransferases encoded by mtmGI and mtmGII are responsible for forming and transferring the disaccharide during mithramycin biosynthesis. From the structures of the new metabolites, a new biosynthetic sequence regarding late steps of mithramycin biosynthesis can be suggested, a sequence which includes glycosyl transfer steps prior to the final shaping of the aglycone moiety of mithramycin.
Affiliation networks (2009)

In the last decade, structural properties of several naturally arising networks (the Internet, social networks, the web graph, etc.) have been studied intensively with a view to understanding their evolution.
The influence of radial undersampling schemes on compressed sensing reconstruction in breast MRI (2011)

Fast imaging applications in magnetic resonance imaging (MRI) frequently involve undersampling of k-space data to achieve the desired temporal resolution. However, high temporal resolution images generated from undersampled data suffer from aliasing artifacts. In radial k-space sampling, this manifests as undesirable streaks that obscure image detail. Compressed sensing reconstruction has been shown to reduce such streak artifacts, based on the assumption of image sparsity. Here, compressed sensing is implemented with three different radial sampling schemes (golden-angle, bit-reversed, and random sampling), which are compared over a range of spatiotemporal resolutions. The sampling methods are implemented in static scenarios where different undersampling patterns could be compared. Results from point spread function studies, simulations, phantom and in vivo experiments show that the choice of radial sampling pattern influences the quality of the final image reconstructed by the compressed sensing algorithm. While evenly undersampled radial trajectories are best for specific temporal resolutions, golden-angle radial sampling results in the least overall error when various temporal resolutions are considered. Reduced temporal fluctuations from aliasing artifacts in golden-angle sampling translates to improved compressed sensing reconstructions overall.
Antimüllerian hormone in gonadotropin releasing-hormone antagonist cycles: prediction of ovarian response and cumulative treatment outcome in good-prognosis patients (2013)

NCT00884221.
Reactivation of 3-Dehydroquinate Synthase by Lanthanide Cations (1998)

ADVERTISEMENT RETURN TO ISSUEPREVCommunicationNEXTReactivation of 3-Dehydroquinate Synthase by Lanthanide CationsJonathan D. Moore, Murray A. Skinner, David R. Swatman, Alastair R. Hawkins, and Katherine A. BrownView Author Information Department of Biochemistry and Genetics The Medical School, University of Newcastle Upon Tyne Newcastle Upon Tyne, UK NE2 4HH Department of Biochemistry Imperial College of Science, Technology and Medicine Exhibition Road, London, UK, SW7 2AY Cite this: J. Am. Chem. Soc. 1998, 120, 28, 7105–7106Publication Date (Web):July 7, 1998Publication History Received15 December 1997Published online7 July 1998Published inissue 1 July 1998https://pubs.acs.org/doi/10.1021/ja974220xhttps://doi.org/10.1021/ja974220xrapid-communicationACS PublicationsCopyright © Published 1998 by the American Chemical SocietyRequest reuse permissionsArticle Views128Altmetric-Citations8LEARN 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 InRedditEmail Other access optionsGet e-Alertsclose SUBJECTS:Cations,Lanthanides,Metals,Peptides and proteins,Zinc Get e-Alerts
Enabling Highly Survivable Automated On-Demand Dynamic Network Services with Intelligent Optical Control Planes (2008)

Globalization has changed the face and relevance of communication networks dramatically. Communication systems have become the most significant element of mission-critical infrastructure for consumers, businesses, and governments worldwide. Minimizing the risk of disruptions from human error, acts of war, terrorism, or natural disasters, while simultaneously creating a flexible, rapidly provisioned, on- demand network has become a business imperative, and requires the automation of key functions within network operations. Consequently, network architects are building survivable optical networks using intelligent optical control planes.
Programmed Cell Death Induced by Ceramide (1993)

Sphingomyelin hydrolysis and ceramide generation have been implicated in a signal transduction pathway that mediates the effects of tumor necrosis factor-alpha (TNF-alpha) and other agents on cell growth and differentiation. In many leukemic cells, TNF-alpha causes DNA fragmentation, which leads to programmed cell death (apoptosis). C2-ceramide (0.6 to 5 microM), a synthetic cell-permeable ceramide analog, induced internucleosomal DNA fragmentation, which was inhibited by zinc ion. Other amphiphilic lipids failed to induce apoptosis. The closely related C2-dihydroceramide was also ineffective, which suggests a critical role for the sphingolipid double bond. The effects of C2-ceramide on DNA fragmentation were prevented by the protein kinase C activator phorbol 12-myristate 13-acetate, which suggests the existence of two opposing intracellular pathways in the regulation of apoptosis.
GWINDOWS: Towards Robust Perception-Based UI (2003)

Perceptual user interfaces promise modes of fluid computer-human interaction that complement the mouse and keyboard, and have been especially motivated in non-desktop scenarios, such as kiosks or smart rooms. Such interfaces, however, have been slow to see use for a variety of reasons, including the computational burden they impose, a lack of robustness outside the laboratory, unreasonable calibration demands, and a shortage of sufficiently compelling applications. We have tackled some of these difficulties by using a fast stereo vision algorithm for recognizing hand positions and gestures. Our system uses two inexpensive video cameras to extract depth information. This depth information enhances automatic object detection and tracking robustness, and may also be used in applications. We demonstrate the algorithm in combination with speech recognition to perform several basic window management tasks, report on a user study probing the ease of using the system, and discuss the implications of such a system for future user interfaces.
Adjustable speed drives: Applications and R&D needs (1995)

The largest opportunity for the growth of adjustable speed drives (ASDs) during the next 5-6 years is in pump, fan and compressor (PFC) applications where a constant, fixed speed operation is converted to adjustable speed in order to realize energy savings. Inverter supplied induction motors are and will continue to be predominately used in these applications. Over the long term (10-15 years), the greatest ASD growth is expected in large volume consumer applications: first in hybrid electric vehicles (EVs) and in residential heating, ventilation and air-conditioning (HVAC). Both induction and a variety of AC Permanent Magnet motors are expected to be the dominant technology in this new field. The traditional ASD applications in industries which require adjustable speed (such as machine tools, robotics, steel rolling, extruders, paper mill finishing lines, etc.) offer a relatively limited potential for above average ASD growth since most of these applications have already converted to electronic speed control. As a result, ASD growth in this sector will essentially track the growth of the corresponding industries. If realized, both short and long term ASD growth opportunities will result in significant advancements of ASD technology, which will then substantially affect all other, more fragmented, ASD applications. In fact, any single large volume ASD application will serve as a catalyst for improving ASD characteristics in all other ASD applications with the same voltage rating. ASD cost and reliability (defined in the context of application compatibility) are the two most important factors which will determine whether the ASD growth opportunities are realized. Conversely, any technological improvement which carries a cost increase will be restricted to niche applications, at best. Consequently, future R & D efforts should be directed to secure reduction in ASD cost and improvement in ASD reliability. A specific action plan is outlined in this report.
Uncovering Growth-Suppressive MicroRNAs in Lung Cancer (2009)

miR-34c, miR-145, and miR-142-5p were repressed in murine and human lung cancers. Transfection of each miRNA significantly repressed lung cancer cell growth. Thus, these miRNAs were growth suppressive and are proposed to exert antineoplastic effects in the lung.
Signal processing for high-density digital magnetic recording (2003)

The signal-processing techniques most often used in digital magnetic recording systems are run-length limited (RLL) coding and peak detection (PD). The application of more advanced methods, such as partial-response (PR) signaling and maximum-likelihood sequence detection (MLSD), allows a further increase in the recording densities and reliability presently achieved. After reviewing RLL coding an PD schemes, recording systems using PR signaling and MLSD (PRML) are described. Viterbi decoding and decision-directed algorithms for automatic gain control and timing recovery are discussed for the two types of PR scheme best suited for magnetic recording, class-IV (PR-IV) and extended class-IV (EPR-IV). Results of a performance study on PD and PRML systems which demonstrate the superiority of the PRML approach are presented. For the two PRML systems considered, sensitivity to various parameters and performance in an off-track situation were investigated. The results shown indicate that the two schemes are equally robust and that PR-IV signaling is superior to EPR-IV in off-track situations. A PRML system based on PR-IV signaling is also simpler to realize.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Coupled Dictionary Training for Image Super-Resolution (2012)

In this paper, we propose a novel coupled dictionary training method for single image super-resolution based on patchwise sparse recovery, where the learned couple dictionaries relate the low- and high-resolution image patch spaces via sparse representation. The learning process enforces that the sparse representation of a low-resolution image patch in terms of the low-resolution dictionary can well reconstruct its underlying high-resolution image patch with the dictionary in the highresolution image patch space. We model the learning problem as a bilevel optimization problem, where the optimization includes an 1-norm minimization problem in its constraints. Implicit differentiation is employed to calculate the desired gradient for stochastic gradient descent. We demonstrate that our coupled dictionary learning method can outperform the existing joint dictionary training method both quantitatively and qualitatively. Furthermore, for real applications, we speed up the algorithm approximately 10 times by learning a neural network model for fast sparse inference and selectively processing only those visually salient regions. Extensive experimental comparisons with stateof- the-art super-resolution algorithms validate the effectiveness of our proposed approach.
Detection of Clonal Immunoglobulin and T-Cell Receptor Gene Recombination in Hematological Malignancies: Monitoring Minimal Residual Disease (2009)

A considerable number of studies on hematological malignancies have recently demonstrated that the identification of rearrangements in immunoglobulin (Ig) and T-cell receptor (TCR) genes are important tools for diagnosis and follow-up of B- and T-cell disorders. The heterogeneity of these malignancies makes it difficult to carry out a precise assessment in all patients despite well-established morphological and immunophenotyping criteria. Clonal analysis of hematological malignancies is supported by the fact that all malignant cells have a common clonal origin with identically rearranged Ig and/or TCR genes. Identification of B- or T-cell clonality in polyclonal tissue such as the blood is indicative of a lymphoproliferative process. Germline gene segments of Ig heavy chain (IGH), Ig kappa (IGK), Ig lambda (IGL) and TCR are rearranged in each lymphocyte during B- and T-cell differentiation. A specific combination of gene segments and somatic mutations occurring during this process is responsible for the wide diversity of antigen-specific receptors and antibodies. Ig and TCR rearrangements are considered the "fingerprint" of each lymphocyte and therefore can be used as tumor-specific PCR targets for detection of residual malignant cells present after treatment. Determination of minimal residual disease (MRD) has a proven prognostic value and enables effective early interventional treatment. This is becoming routinely implemented in several treatment protocols and is increasingly used in guidelines for drug therapy and stem cell transplantation. In this review we focus on: (1) the process of gene rearrangements in B- and T-cells, (2) principles of polymerase chain reaction (PCR)-based assays and real-time PCR methods commonly used to detect and follow clonal Ig and TCR rearrangements, (3) multiplex primer sets recently designed by the BIOMED-2 concerted action group, and (4) application of these techniques in MRD detection.
The molecular structure of hyaluronic acid (1971)

Research Article| December 01 1971 The molecular structure of hyaluronic acid E D T Atkins; E D T Atkins 1H. H. Wills Physics Laboratory, University of Bristol, Royal Fort, Tyndall Avenue, Bristol BS8 1TL, U.K. Search for other works by this author on: This Site PubMed Google Scholar J K Sheehan J K Sheehan 1H. H. Wills Physics Laboratory, University of Bristol, Royal Fort, Tyndall Avenue, Bristol BS8 1TL, U.K. Search for other works by this author on: This Site PubMed Google Scholar Biochem J (1971) 125 (4): 92P. https://doi.org/10.1042/bj1250092Pb Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter LinkedIn Cite Icon Cite Get Permissions Citation E D T Atkins, J K Sheehan; The molecular structure of hyaluronic acid. Biochem J 1 December 1971; 125 (4): 92P. doi: https://doi.org/10.1042/bj1250092Pb Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search nav search search input Search input auto suggest search filter All ContentAll JournalsBiochemical Journal Search Advanced Search This content is only available as a PDF. © 1971 London: The Biochemical Society1971 Article PDF first page preview Close Modal You do not currently have access to this content.
Standard methods for chemical ecology research inApis mellifera (2013)

SummaryThis paper describes basic methods essential in elucidating chemically-mediated behavioural interactions among honey bees, and between honey bees and other arthropods. These range from bioassay methods used to demonstrate the role of specific behaviours, techniques and equipment used to collect and analyse semiochemicals (both volatiles and non-volatiles e.g. cuticular hydrocarbons) from individual honey bees, groups of bees or an entire colony in its native environments. This paper covers: collection and analysis of honey bee volatiles in the natural environment, collection and analysis of bee volatiles out of their natural environment and their antennal detection, collection and analysis of non-volatile cuticular hydrocarbons, bioassays with queen pheromone and finally a section focusing on in vitro bioassays as a tool for elucidation of mechanisms regulating pheromone gland activity.
National Institutes of Health Stroke Scale Item Profiles as Predictor of Patient Outcome (2014)

These NIHSS item profiles identified using latent class analysis offer a reliable approach to capture the true response patterns that are associated with functional and outcome and mortality post stroke. This approach has the potential to enhance the clinical value of the overall NIHSS score.