gebhart/patrepeval huggingface dataset:
Micro-Inertial-Aided High-Precision Positioning Method for Small-Diameter PIG Navigation (2019)

Pipeline leakage or explosion has caused huge economic losses, polluted the environments and threatened the safety of civilian’s lives and assets, which even caused negative influences to the society greatly. Fortunately, pipeline inspection gauge (PIG) could accomplish the pipeline defect (corrosions, cracks, grooves, etc.) inspection effectively and meanwhile to localize these defects precisely by navigation sensors. The results are utilized for pipeline integrity management (PIM) and pipeline geographic information system construction. Generally, the urban underground pipeline presents with small-diameter and complicated-distribution properties, which are of great challenges for the pipeline defects positioning by PIG. This chapter focuses on in-depth research of the high-precision positioning method for small-diameter PIG navigation. In the beginning, the problems and system errors statement of MEMS SINS-based PIG are analyzed step by step. Then, the pipeline junction (PJ) identification method based on fast orthogonal search (FOS) is studied. After that, a PIG positioning system that comprises of micro-inertial/AGM/odometer/PJ is proposed, and also the application mechanism of extended Kalman filter and its smoothing technology on PIG navigation system is researched to improve the overall positioning precision for the small-diameter PIG. Finally, the proposed methods and research conclusions are verified by the indoor wheel robot simulation platform.
Purification and characterization of carboxypeptidases A and B from the white shrimp (Penaeus setiferus) (1973)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPurification and characterization of carboxypeptidases A and B from the white shrimp (Penaeus setiferus)B. J. Gates and James TravisCite this: Biochemistry 1973, 12, 10, 1867–1874Publication Date (Print):May 1, 1973Publication History Published online1 May 2002Published inissue 1 May 1973https://pubs.acs.org/doi/10.1021/bi00734a005https://doi.org/10.1021/bi00734a005research-articleACS PublicationsRequest reuse permissionsArticle Views107Altmetric-Citations36LEARN 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 Get e-Alerts
The effects of on-chip and package decoupling capacitors and an efficient ASIC decoupling methodology (2004)

This paper presents an in-depth analysis of the effectiveness of on-chip and package decoupling capacitors in light of the interaction between chip-package resonance and the frequency content of switching sources, and suggests an approach for decoupling analysis in fast turn-around ASIC designs, achieving both simulation efficiency and accuracy. The analysis is based on accurate modeling of the on-chip and package power supply structures of ASIC flip-chip modules as distributed networks to provide precise understanding of switching noise mechanisms in distributed power supply structures in both the time and frequency domains. The simulation efficiency versus accuracy of two types of package models is discussed. The local effectiveness of on-chip and package decoupling capacitors is illustrated using detailed, frequency-domain impedance profiles of the on-chip and package power supply networks, demonstrating location-dependant responses that vary according to the local placement of decoupling capacitors. Based on the study, a methodology is presented for accurately determining the quantities and locations of on-chip decoupling capacitors required to limit on-chip transient power supply collapse to a pre-defined level.
Abstract 128: Pim1 kinase Overexpression Enhances ckit+ Cardiac Stem Cells Cardioreparative Ability After Intramyocardial Delivery (2014)

Background: Pim-1 kinase plays an important role in cell division, survival and commitment towards myocardial lineage. We hypothesized that Pim-1 overexpression in ckit+ cardiac stem cell (CSCs) enhances cardioreparative effects. Methods: Immunosuppressed Yorkshire swine (n=31) received human ckit+ CSCs (n=9), Pim1 modified human ckit+ CSCs (n=9) or PBS (n=13) two weeks after myocardial infarction. Cardiac MRI and PV loops were obtained before and after cell administration. Results: At 8 weeks post transplantation, scar mass (Fig. 1A), viable tissue (Fig. 1B), ejection fraction (Fig. 1C) and stroke work (Fig. 1D) was significantly improved in Pim-1 modified ckit+ CSC compared to control ckit+, while both cell groups showed partial recovery compared to placebo (two way ANOVA, p&lt;0.05). Both cell types similarly reduced preload (end diastolic pressure; Fig. 1E) and afterload (Arterial elastance; Fig 1F) compared to placebo, while only administration of Pim-1 CPCs improved regional contractility at both the infarct (Fig. 1G) and border zones (Fig. 1H). Collectively, mechanoenergetic recoupling was superior in the Pim-1 group compared to ckit+ controls (Cardiac Efficiency; Fig. 1I). Conclusions: Cardioreparative potential of CSCs delivered by intramyocardial injection to infarcted porcine hearts is significantly enhanced by overexpress Pim1, supporting translational development of Pim-1 as a validated genetic modification of CSCs for incorporation into clinical trials.
The development of flat panel PMT (2002)

In High Energy Physics (HEP) experiment and scintillation counting application, a photodetector, which can cover large area and has small dead space, has been desired. It should be compact and should have multi-anode in some cases. Hamamatsu has developed a Flat Panel Photomultiplier (PMT) to meet the demand. If many of Flat Panel PMTs are placed closely, they can cover large area as one photodetector. The Flat Panel PMT has 51.7/spl times/51.7/spl times/12.4 mm metal package and 8/spl times/8 matrix multi-anode. Some prototypes were made, and it was confirmed that a ratio between external size and useful area was 90% and gain of 3/spl times/10/sup 5/ was achieved. Its structure and basic feature are discussed in this paper.
CogNet: A network management architecture featuring cognitive capabilities (2016)

It is expected that the fifth generation mobile networks (5G) will support both human-to-human and machine-to-machine communications, connecting up to trillions of devices and reaching formidable levels of complexity and traffic volume. This brings a new set of challenges for managing the network due to the diversity and the sheer size of the network. It will be necessary for the network to largely manage itself and deal with organisation, configuration, security, and optimisation issues. This paper proposes an architecture of an autonomic self-managing network based on Network Function Virtualization, which is capable of achieving or balancing objectives such as high QoS, low energy usage and operational efficiency. The main novelty of the architecture is the Cognitive Smart Engine introduced to enable Machine Learning, particularly (near) real-time learning, in order to dynamically adapt resources to the immediate requirements of the virtual network functions, while minimizing performance degradations to fulfill SLA requirements. This architecture is built within the CogNet European Horizon 2020 project, which refers to Cognitive Networks.
Junctional kyphosis after the treatment of adolescent idiopathic scoliosis (2016)

Introduction: In this retrospective study radiographic review was undertaken in patients treated for AIS (Adolescent Idiopathic Scoliosis), in order to determine the most important preoperative factors that are seen with postoperative junctional kyphosis.\n\nMaterial &amp;Methods: Sagittal spine profiles were measured on the standing radiographs before surgery, after surgery and in the last follow-up postoperative visit of the patients with AIS. The following parameters were measured on lateral views: lumbar lordosis, thoracic kyphosis, the sagittal offset distance of C7 to a vertical line from postero-superior edge of S1 (Sagittal Vertical Axis-SVA) and T9 sagittal offset angle.\n\n Results: One hundred and twenty patients with a mean 42 months of follow-up (24-112 months) were included in the study. Mean values of the parameters before corrective surgery were: lumbar lordosis 45° ± 13.6°, thoracic kyphosis 28°±18.4°, SVA 35 ± 27.2 mm and T9 offset angle, 7.8°± 5.1°. Mean values at last follow-up were: lumbar lordosis 49± 9.8°, thoracic kyphosis 35 ± 16.4°, SVA 39 ± 24 mm and T9 offset angle, 8.6°±5.8°. There were 10 upper junctional kyphosis (8.4%). T test statistics revealed significant correction of lumbar lordosis and thoracic kyphosis after fusion in all patients (P&lt;0.001, P=0.006 respectively). Preoperative mean of T9 sagittal offset angle was higher in the patients with proximal junctional kyphosis (P=0.006).\n\nConclusion: Normal sagittal balance of spine is essential for the optimum function of the intervertebral disks and preventing sagittal postoperative complication like proximal junctional kyphosis. More attention to preoperative sagittal parameters of the spine like T9 offset may be important to prevent such complications.
Updated search for long-lived particles decaying to jet pairs (2017)

A search is presented for long-lived particles with a mass between 25 and 50 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mspace></mml:mspace> <mml:mi>GeV</mml:mi> <mml:mo>/</mml:mo> <mml:msup><mml:mi>c</mml:mi> <mml:mn>2</mml:mn></mml:msup> </mml:mrow> </mml:math> and a lifetime between 2 and 500 ps, using proton-proton collision data corresponding to an integrated luminosity of 2.0 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mspace></mml:mspace> <mml:msup><mml:mrow><mml:mi>fb</mml:mi></mml:mrow> <mml:mrow><mml:mo>-</mml:mo> <mml:mn>1</mml:mn></mml:mrow> </mml:msup> </mml:mrow> </mml:math> , collected by the LHCb detector at centre-of-mass energies of 7 and 8 TeV. The particles are assumed to be pair-produced in the decay of a 125 <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:mspace></mml:mspace> <mml:mi>GeV</mml:mi> <mml:mo>/</mml:mo> <mml:msup><mml:mi>c</mml:mi> <mml:mn>2</mml:mn></mml:msup> </mml:mrow> </mml:math> Standard-Model-like Higgs boson. The experimental signature is a single long-lived particle, identified by a displaced vertex with two associated jets. No excess above background is observed and limits are set on the production cross-section as a function of the mass and lifetime of the long-lived particle.
Hybrid Analog/Digital Precoding for Downlink Massive MIMO LEO Satellite Communications (2022)

Massive multiple-input multiple-output (MIMO) is promising for low earth orbit (LEO) satellite communications due to the potential in enhancing the spectral efficiency. However, the conventional fully digital precoding architectures might lead to high implementation complexity and energy consumption. In this paper, hybrid analog/digital precoding solutions are developed for the downlink operation in LEO massive MIMO satellite communications, by exploiting the slow-varying statistical channel state information (CSI) at the transmitter. First, we formulate the hybrid precoder design as an energy efficiency (EE) maximization problem by considering both the continuous and discrete phase shift networks for implementing the analog precoder. The cases of both the fully and the partially connected architectures are considered. Since the EE optimization problem is nonconvex, it is in general difficult to solve. To make the EE maximization problem tractable, we apply a closed-form tight upper bound to approximate the ergodic rate. Then, we develop an efficient algorithm to obtain the fully digital precoders. Based on which, we further develop two different efficient algorithmic solutions to compute the hybrid precoders for the fully and the partially connected architectures, respectively. Simulation results show that the proposed approaches achieve significant EE performance gains over the existing baselines, especially when the discrete phase shift network is employed for analog precoding.
An event-centric approach to authoring stories in crowds (2016)

We present a graphical authoring tool for creating complex narratives in large, populated areas with crowds of virtual humans. With an intuitive drag-and-drop interface, our system enables an untrained author to assemble story arcs in terms of narrative events that seamlessly control either principal characters or choreographed heterogeneous crowds within the same conceptual structure. Smart Crowds allow groups of characters to be dynamically assembled and scheduled with ambient activities, while also permitting individual characters to be selected from the crowd and featured more prominently as an individual in a story with more sophisticated behavior. Our system runs in real-time at interactive rates with no pause or costly pre-computation step between creating a story and simulating it, making this approach ideal for storyboarding or pre-visualization of narrative sequences.
Engineering Newcastle Disease Virus as an Oncolytic Vector for Intratumoral Delivery of Immune Checkpoint Inhibitors and Immunocytokines (2019)

Newcastle disease virus (NDV) is an attractive candidate for oncolytic immunotherapy due to its ability to replicate in tumor cells and potentially to overcome the inherently immunosuppressive nature of the tumor microenvironment. The advent of checkpoint blockade immunotherapy over the past few years represents a paradigm shift in cancer therapy. However, the prevalence of severe immune-related adverse events with CTLA4 and PD1 pathway blockade in clinical studies, especially in combination therapy groups, is a cause for concern. Immunotherapies with cytokines have also been extensively explored, but they have been associated with adverse events in clinical trials. Oncolytic vectors engineered to express checkpoint blockade antibodies and cytokines could provide an avenue for reducing the clinical toxicity associated with systemic therapy by concentrating the immunomodulatory payload at the site of disease. In this study, we engineered six different recombinant viruses: NDVs expressing checkpoint inhibitors (rNDV-anti-PD1 and rNDV-anti-PDL1); superagonists (rNDV-anti-CD28); and immunocytokines, where the antibodies are fused to an immunostimulatory cytokine, such as interleukin 12 (IL-12) (rNDV-anti-CD28-murine IL-12 [mIL-12], rNDV-anti-PD1-mIL-12, and rNDV-anti-PDL1-mIL-12). These six engineered viruses induced tumor control and survival benefits in both highly aggressive unilateral and bilateral B16-F10 murine melanoma models, indicative of an abscopal effect. The data represent a strong proof of concept on which further clinical evaluation could build.<b>IMPORTANCE</b> Checkpoint inhibitor therapy has shown tremendous efficacy, but also frequent and often severe side effects-especially when multiple drugs of the class are used simultaneously. Similarly, many investigational immunotherapy agents, which have shown promise in animal models, have failed in clinical trials due to dose-limiting toxicity when administered systemically. This study utilized a murine melanoma model to evaluate the efficacy of intratumoral injections of recombinant NDVs engineered to express multiple immunotherapeutic proteins with well-documented side effects in humans. Our results indicate that intratumoral administration of these recombinant NDVs, particularly when combined with systemic CTLA4 checkpoint inhibition, exerts a robust effect in treated and nontreated tumors, indicative of a systemic antitumoral response. The intratumoral delivery of rNDVs expressing immunotherapeutic proteins may be an effective method of targeting the immune cell populations most relevant for antitumoral immunity and allowing us to restrict the use of systemic immunotherapy agents.
Immunomodulatory Effects of Serotype B Glucuronoxylomannan from Cryptococcus gattii Correlate with Polysaccharide Diameter (2010)

Glucuronoxylomannan (GXM), the major capsular component in the Cryptococcus complex, interacts with the immune system in multiple ways, which include the activation of Toll-like receptors (TLRs) and the modulation of nitric oxide (NO) production by phagocytes. In this study, we analyzed several structural parameters of GXM samples from Cryptococcus neoformans (serotypes A and D) and Cryptococcus gattii (serotypes B and C) and correlated them with the production of NO by phagocytes and the activation of TLRs. GXM fractions were differentially recognized by TLR2/TLR1 (TLR2/1) and TLR2/6 heterodimers expressed on TLR-transfected HEK293A cells. Higher NF-kappaB luciferase reporter activity induced by GXM was observed in cells expressing TLR2/1 than in cells transfected with TLR2/6 constructs. A serotype B GXM from C. gattii was the most effective polysaccharide fraction activating the TLR-mediated response. This serotype B polysaccharide, which was also highly efficient at eliciting the production of NO by macrophages, was similar to the other GXM samples in monosaccharide composition, zeta potential, and electrophoretic mobility. However, immunofluorescence with four different monoclonal antibodies and dynamic light-scattering analysis revealed that the serotype B GXM showed particularities in serological reactivity and had the smallest effective diameter among the GXM samples analyzed in this study. Fractionation of additional serotype B GXMs, followed by exposure of these fractions to macrophages, revealed a correlation between NO production and reduced effective diameters. Our results demonstrate a great functional diversity in GXM samples from different isolates and establish their abilities to differentially activate cellular responses. We propose that serological properties as well as physical chemical parameters, such as the diameter of polysaccharide molecules, may potentially influence the inflammatory response against Cryptococcus spp. and may contribute to the differences in granulomatous inflammation between cryptococcal species.
Speech imitation with a child’s voice: addressing the correspondence problem (2009)

We hereby present our first steps towards linking an embodied speech acquisition system and a speech production module, in order to provide a robot with the ability to reproduce acquired speech representations. Due to the type of interaction intended for the robot, we endowed it with a child-like voice, concretized with the use of a new vocoder-like technique for speech synthe- sis. The task in hand consists of finding and using a correspon- dence between configurations in the tutor’s acoustic parameter space, which might be inaccessible for the system’s voice, and phonetically equivalents in the robot’s. This mapping is learned by having a cooperative tutor imitating the robot’s monophonic utterances, giving the robot the necessary knowledge to map a tutor’s utterance to its own vocal space, and imitate it.
Radiofrequency phase resolved electron density measurements with the hairpin resonator probe (2020)

Abstract A floating hairpin resonator probe is used to measure electron density within the radiofrequency cycle of a parallel plate capacitively coupled plasma at steady state. A time resolution capable of detecting electron density oscillations within the radiofrequency cycle is demonstrated. Electron density oscillations are observed at the drive frequency over a range of operating conditions including 10–250 mTorr (1.3–33 Pa) in argon driven at 13.56 or 27.12 MHz. Localized electron density oscillation amplitudes show moderate agreement with literature and fluid simulations near the powered electrode and disagreement in the plasma bulk. The technique is useful for studying electron heating mechanisms in radiofrequency discharges due to its high time resolution.
Intra‐Atrial Conduction Block Along the Mitral Valve Annulus During Accessory Pathway Ablation: Evidence for a Left Atrial “Isthmus” (2001)

An isthmus of conductive tissue is present in the low lateral left atrium of some individuals. Awareness of this structure may avoid misinterpretation of the electrogram during left AP ablation and may be useful in future therapies of atypical atrial flutter and fibrillation.
Deep Learning is Robust to Massive Label Noise (2017)

Deep neural networks trained on large supervised datasets have led to impressive results in image classification and other tasks. However, well-annotated datasets can be time-consuming and expensive to collect, lending increased interest to larger but noisy datasets that are more easily obtained. In this paper, we show that deep neural networks are capable of generalizing from training data for which true labels are massively outnumbered by incorrect labels. We demonstrate remarkably high test performance after training on corrupted data from MNIST, CIFAR, and ImageNet. For example, on MNIST we obtain test accuracy above 90 percent even after each clean training example has been diluted with 100 randomly-labeled examples. Such behavior holds across multiple patterns of label noise, even when erroneous labels are biased towards confusing classes. We show that training in this regime requires a significant but manageable increase in dataset size that is related to the factor by which correct labels have been diluted. Finally, we provide an analysis of our results that shows how increasing noise decreases the effective batch size.
Falcon (2017)

Many works have applied crowdsourcing to entity matching (EM). While promising, these approaches are limited in that they often require a developer to be in the loop. As such, it is difficult for an organization to deploy multiple crowdsourced EM solutions, because there are simply not enough developers. To address this problem, a recent work has proposed Corleone, a solution that crowdsources the entire EM workflow, requiring no developers. While promising, Corleone is severely limited in that it does not scale to large tables. We propose Falcon, a solution that scales up the hands-off crowdsourced EM approach of Corleone, using RDBMS-style query execution and optimization over a Hadoop cluster. Specifically, we define a set of operators and develop efficient implementations. We translate a hands-off crowdsourced EM workflow into a plan consisting of these operators, optimize, then execute the plan. These plans involve both machine and crowd activities, giving rise to novel optimization techniques such as using crowd time to mask machine time. Extensive experiments show that Falcon can scale up to tables of millions of tuples, thus providing a practical solution for hands-off crowdsourced EM, to build cloud-based EM services.