gebhart/patrepeval huggingface dataset:
Extracting, Linking and Integrating Data from Public Sources: A Financial Case Study. (2011)

We present Midas, a system that uses complex data processing to extract and aggregate facts from a large collection of structured and unstructured documents into a set of unified, clean entities and relationships. Midas focuses on data for financial companies and is based on periodic filings with the U.S. Securities and Exchange Commission (SEC) and Federal Deposit Insurance Corporation (FDIC). We show that, by using data aggregated by Midas, we can provide valuable insights about financial institutions either at the whole system level or at the individual company level. The key technology components that we implemented in Midas and that enable the various financial applications are: information extraction, entity resolution, mapping and fusion, all on top of a scalable infrastructure based on Hadoop. We describe our experience in building the Midas system and also outline the key research questions that remain to be addressed towards building a generic, high-level infrastructure for large-scale data integration from public sources. 1
COMELOT: a computer-aided measure for logic testability (1981)

This paper describes the theory and application of a testability assessment program, called CAMELOT, which has been developed for British Telecom. The program is intended for use as an interactive design aid, the testability predictions produced allowing the designer to make the best use of the range of testability improvement techniques available. CAMELOT uses a model of the test generation process to calculate controllability and observability values for each circuit node. These values measure the ease with which the node concerned can be set to a desired logic level and the ease with which its state can be observed respectively. The calculations take into account the possibility that a stored state device may have either an initialisation requirement or transient states. By combining the sets of values calculated, testability estimates can be produced for each circuit node and for the circuit as a whole. The paper describes the concepts of CAMELOT, relates it to other testability measures that have been described in the open literature and gives examples of its use.
Unsupervised Multi-task Learning Dialogue Management (2019)

Traditional dialog management systems used in task / goal-oriented scenario require a lot of domain-specific handcrafting, which hinders scaling up to new domains. End-to-end dialog management systems, in which all components are trained from the dialogs transcripts, overcome this limitation. This paper proposes a novel unsupervised dialogue-manager for goal-oriented dialogue applications. Set in the context of Corporate Information Organization (CIO) domain, our tasks require assessing user-initiated dialogues to understand the nature of the tickets, issue DB and API calls, and use the output of such calls to assist users. We show that an unsupervised dialog state-tracking and management system based on jointly trained LSTM-RNNs for utterance understanding and response generation can learn to perform non-trivial dialog management.
The anticonvulsant BW534U87 depresses epileptiform activity in rat hippocampal slices by an adenosine‐dependent mechanism and through inhibition of voltage‐gated Na<sup>+</sup> channels (1999)

1. The cellular and molecular actions of BW534U87 were studied using intracellular and extracellular recordings from the CA1 region of rat hippocampal slices and whole-cell voltage-clamp recordings of recombinant human brain type IIA Na+ channels expressed in Chinese hamster ovary (CHO) cells. 2. Normal excitatory and inhibitory postsynaptic potentials evoked in hippocampal slices were unaffected by BW534U87 or the adenosine deaminase inhibitor EHNA. However, epileptiform activity was depressed by BW534U87 (50 micronM) and this inhibition was reversed by the adenosine receptor antagonist 8-phenyl theophylline (8-PT, 30 micronM). EHNA (10 micronM) mimicked the effects of BW534U87. Furthermore, BW534U87 enhanced the inhibitory effects of exogenous adenosine on evoked synaptic potentials. BW534U87 (50 micronM) also voltage- and use-dependently inhibited action potentials elicited by current injection, independent of the adenosine system, since it was not affected by 8-PT. 3. In CHO cells expressing the recombinant human brain Na+ channel, BW534U87 produced a concentration- and voltage-dependent inhibition of Na+ currents with a half-maximal inhibitory concentration of 10 micronM at a Vh of -60 mV. Use-dependent inhibition was evident at high-frequencies (20x20 ms pulse train at 10 Hz). 4 In conclusion, BW534U87 blocks hippocampal epileptiform activity by a dual mechanism. The first action is similar to that produced by EHNA and is dependent on endogenous adenosine probably by inhibition of adenosine deaminase. Secondly, BW534U87 directly inhibits voltage-gated Na+ channels in a voltage- and frequency-dependent manner. Both actions of BW534U87 are activity-dependent and may synergistically contribute to its overall anticonvulsant effects in animal models of epilepsy.
Survival Benefits With Diverse Chemotherapy Regimens for Ovarian Cancer: Meta-analysis of Multiple Treatments (2006)

Distinct incremental improvements in survival have been achieved for ovarian cancer chemotherapy over time, with the possibility to achieve a doubling or more of time to mortality with platinum and taxane combinations, especially when intraperitoneal administration is used.
Bayesian Learning of Neural Networks for Mobile User Position Prediction (2007)

In this paper, a novel technique for location prediction of mobile users has been proposed, and a paging technique based on it is developed. Mobile users are creatures of habits. They tend to repeat their behaviors. Hence, neural networks with its learning and generalization ability may act as a suitable tool to predict the location of a mobile user provided it is trained appropriately by the personal mobility profile. For prediction, a novel hybrid Bayesian neural network model for predicting locations on Cellular Networks (can also be extended to other wireless networks such as Wi-Fi and WiMAX) is suggested. We investigate its different parallel implementation techniques on mobile devices, and compare its performance to many standard neural network techniques such as: Back-propagation, Elman, Resilient, Levenberg-Marqudat, and One-Step Secant models. This approach is free from all unrealistic assumptions about the movement of the users. It is applicable to any arbitrary cell architecture. It attempts to reduce the total location management cost and paging delay. In general, it enhances mobility management in wireless networks (in location management and hand-off management). In our experiments, we compare results of the proposed Bayesian Neural Network with 5 standard neural network techniques in predicting next location. Bayesian learning for Neural Networks predicts location better than standard neural network techniques since it uses well founded probability model to represent uncertainty about the relationship being learned. The result of Bayesian training is a posterior distribution over network weights.
Independence of metastatic ability and extravasation: metastatic ras-transformed and control fibroblasts extravasate equally well. (1996)

Escape of cancer cells from the circulation (extravasation) is thought to be a major rate-limiting step in metastasis, with few cells being able to extravasate. Furthermore, highly metastatic cells are believed to extravasate more readily than poorly metastatic cells. We assessed in vivo the extravasation ability of highly metastatic ras-transformed NIH 3T3 cells (PAP2) versus control nontumorigenic nontransformed NIH 3T3 cells and primary mouse embryo fibroblasts. Fluorescently labeled cells were injected intravenously into chicken embryo chorioallantoic membrane and analyzed by intravital videomicroscopy. The chorioallantoic membrane is an appropriate model for studying extravasation, since, at the embryonic stage used, the microvasculature exhibits a continuous basement membrane and adult permeability properties. The kinetics of extravasation were assessed by determining whether individual cells (n = 1481) were intravascular, extravascular, or in the process of extravasation, at 3, 6, and 24 h after injection. Contrary to expectations, our results showed that all three cell types extravasated with the same kinetics. By 24 h after injection > 89% of observed cells had completed extravasation from the capillary plexus. After extravasation, individual fibroblasts of all cell types demonstrated preferential migration within the mesenchymal layer toward arterioles, not to venules or lymphatics. Thus in this model and for these cells, extravasation is independent of metastatic ability. This suggests that the ability to extravasate in vivo is not necessarily predictive of subsequent metastasis formation, and that postextravasation events may be key determinants in metastasis.
Multi-Link Subnet Issues (2007)

There have been several proposals around the notion that a subnet may
span multiple links connected by routers. This memo documents the
issues and potential problems that have been raised with such an
approach. This memo provides information for the Internet community.
Design and On-Sun Testing of a Solid Particle Receiver Prototype (2008)

A prototype direct absorption central receiver, called the solid particle receiver (SPR), was recently built and tested on-sun at Sandia National Laboratories. The SPR consists of a 6 m tall cavity through which a 1 m wide curtain of spherical ceramic particles is dropped and directly heated with concentrated solar energy. The focus of this current effort is to provide an experimental basis for the validation of computational models that have been created to support the development of the solid particle receiver as a solar interface for thermochemical hydrogen and solar power systems. In this paper we present detailed information on the design and construction of the receiver as well as test data including the temperature change of the particles and internal cavity walls. We conclude with a discussion of the steps needed to demonstrate the overall feasibility of the SPR concept.
Heavy Metal Detoxification by Different<i>Bacillus</i>Species Isolated from Solar Salterns (2015)

The biosorption mechanism is an alternative for chemical precipitation and ultrafiltration which have been employed to treat heavy metal contamination with a limited success. In the present study, three species of Bacillus which were isolated from solar salterns were screened for their detoxification potential of the heavy metals, lead, chromium, and copper, by biosorption. Biosorption potential of each isolate was determined by Atomic Absorption Spectroscopy (AAS), Inductively Coupled Plasma-Optical Emission Spectroscopy (ICP-OES), and Energy Dispersive Spectroscopy (EDS) as the amount of metal present in the medium after the treatment with the isolates. Bacterial isolates, Bacillus licheniformis NSPA5, Bacillus cereus NSPA8, and Bacillus subtilis NSPA13, showed significant level of lead biosorption with maximum of 87-90% by Bacillus cereus NSPA8. The biosorption of copper and chromium was relatively low in comparison with lead. With the obtained results, we have concluded that the bacterial isolates are potential agents to treat metal contamination in more efficient and ecofriendly manner.
The effects of concentric versus eccentric isokinetic strength training of the rotator cuff in the plane of the scapula at various speeds. (1998)

This study compares the effects of three modes of isokinetic resistance training at the shoulder--concentric, eccentric, and a combination of both concentric and eccentric, with a group that received no training at all. Twenty-eight healthy volunteers (male and females), 18 to 36 years of age, with no history of shoulder pathology, were randomly assigned to one of four groups; concentric training, eccentric training, a combination of both concentric and eccentric training, or control (no training). Testing and training of the dominant shoulder was performed on an isokinetic dynamometer. All subjects were pretested and post-tested both concentrically and eccentrically for humeral internal/external rotation and abduction at speeds of 60 degrees/sec and 120 degrees/sec. Each training session consisted of a total of twelve sets of ten maximal repetitions, and was repeated three times a week for four weeks. The absolute and percent difference in peak force and peak torque for each group between the pretest and post-test was calculated for each combination of position, mode, and speed. A significant difference between the concentric/eccentric group and the eccentric group was found for abduction (p < 0.05). The eccentric group showed a significantly greater increase from the pretest to post-test for absolute differences in peak force and peak torque compared to the concentric/eccentric group (p < 0.05).
Fabrication of nanostructured surfaces for the development of advanced biointerfaces (2007)

The development of specific and sensitive analytical devices for biological analysis relies on the ability to design advanced surfaces enabling a controlled interaction with biomolecules. Pushing forward the controlled biomolecules absorption down to the nanoscale, (e.g. by the creation of biomolecules nanoarrays), makes possible the study biomolecules – surface interactions on the same length scale of the biomolecules. Also it is possible to exploit the “special” chemical-physical properties of the nanostructured materials for triggering the protein absorption and for detecting the proteins interacting with the surfaces. In view of those strategic applications and fundamental studies, a large technological effort is done for the development of advanced nano-patterning techniques. In this paper we propose a new method for fabricating chemically nanostrucured surfaces based on colloidal lithography and low pressure plasma processing. Each step of the nanofabrication process has been morphologically characterized by Scanning Electron Microscopy together with the study of their interaction with model proteins. Finally, the immunoreactivity of the nanostructured surfaces have been tested and compared with non-structured surfaces by using ELISA assays.
Hybridoma Screening for Cell Adhesion Molecules Using Multiple Parallel Comparisons in Conditions of Flow (1996)

Cell adhesion is a complex biophysical process that plays a central role in immunophysiology. Because of the complex force-energy relationships involved, insights into the mechanism of cell adhesion largely depend on comparative measurements. In this report, we describe a comparative approach to the measurement of cell adhesion under conditions of flow. The assay system perfuses fluorescently labeled lymphocytes over a cell monolayer in commercially available multiwell culture plates. The fluorescently labeled cells demonstrate a reproducible flow pattern within the well. Videomicroscopic recordings of cell movement have demonstrated rolling behavior over a wide range of cell velocities. This technique permits the measurement of cell adhesion over a variety of flow velocities, time courses, and treatment conditions. The ability to vary treatment conditions and provide multiple parallel conditions suggests the utility of this approach in the development of monoclonal antibodies (MAb) recognizing cell adhesion molecules.
Real-time scalable visual analysis on mobile devices (2008)

Interactive visual presentation of information can help an analyst gain faster and better insight from data. When combined with situational or context information, visualization on mobile devices is invaluable to in-field responders and investigators. However, several challenges are posed by the form-factor of mobile devices in developing such systems. In this paper, we classify these challenges into two broad categories - issues in general mobile computing and issues specific to visual analysis on mobile devices. Using NetworkVis and Infostar as example systems, we illustrate some of the techniques that we employed to overcome many of the identified challenges. NetworkVis is an OpenVG-based real-time network monitoring and visualization system developed for Windows Mobile devices. Infostar is a flash-based interactive, real-time visualization application intended to provide attendees access to conference information. Linked time-synchronous visualization, stylus/button-based interactivity, vector graphics, overview-context techniques, details-on-demand and statistical information display are some of the highlights of these applications.
Cytokinesis and Midzone Microtubule Organization in<i>Caenorhabditis elegans</i>Require the Kinesin-like Protein ZEN-4 (1998)

Members of the MKLP1 subfamily of kinesin motor proteins localize to the equatorial region of the spindle midzone and are capable of bundling antiparallel microtubules in vitro. Despite these intriguing characteristics, it is unclear what role these kinesins play in dividing cells, particularly within the context of a developing embryo. Here, we report the identification of a null allele of zen-4, an MKLP1 homologue in the nematode Caenorhabditis elegans, and demonstrate that ZEN-4 is essential for cytokinesis. Embryos deprived of ZEN-4 form multinucleate single-celled embryos as they continue to cycle through mitosis but fail to complete cell division. Initiation of the cytokinetic furrow occurs at the normal time and place, but furrow propagation halts prematurely. Time-lapse recordings and microtubule staining reveal that the cytokinesis defect is preceded by the dissociation of the midzone microtubules. We show that ZEN-4 protein localizes to the spindle midzone during anaphase and persists at the midbody region throughout cytokinesis. We propose that ZEN-4 directly cross-links the midzone microtubules and suggest that these microtubules are required for the completion of cytokinesis.
Merging organocatalysis with transition metal catalysis and using O2 as the oxidant for enantioselective C–H functionalization of aldehydes (2013)

A new catalytic Saegusa oxidation-Michael addition cascade reaction has been developed for the enantioselective β-functionalization of aldehydes. The feature of this research is the combination of organocatalysis and transition-metal catalysis for the asymmetric C-H functionalization which remains an underdeveloped research topic.
Feasibility of fluid event-driven simulation for ATM networks (2002)

We describe an ATM network simulator that uses Markov-modulated fluid models for the sources as well as fluid leaky buckets and fluid bandwidth schedulers. The generalized processor sharing (GPS) and "idling" bandwidth schedulers are described. We argue for the use of the idling scheduler over GPS. Based on this fluid model, a simulator for ATM networks has been developed. The simulator employs the well-known discrete event-driven approach. Finally, simulation results are given that, in particular, compare the performance of fluid and "cell-level" simulators. The experimental results indicate that while the fluid simulator is much faster for ATM networks with certain characteristics, some key issues still need to be addressed to widen the applicability of this approach.
A Review of Heavy-Atom-Induced Room-Temperature Phosphorescence: a Straightforward Phosphorimetric Method (2005)

Abstract This review discusses the development of heavy-atom-induced, room-temperature phosphorescence (HAI-RTP), a new technique based on the use of RTP emitted directly from the analyte in a fluid solution with no protective medium except the presence of high concentrations of a heavy-atom perturber. These experimental conditions permit sufficient interaction between the perturber and the analytes to produce an effective population of their triplet states and thus emit intense phosphorescence.
Very low rate convolution codes for maximum theoretical performance of spread-spectrum multiple-access channels (1990)

A spread-spectrum multiple-access (SSMA) communication system is treated for which both spreading and error control is provided by binary PSK modulation with orthogonal convolution codes. Performance of spread-spectrum multiple access by a large number of users employing this type of coded modulation is determined in the presence of background Gaussian noise. With this approach and coordinated processing at a common receiver, it is shown that the aggregate data rate of all simultaneous users can approach the Shannon capacity of the Gaussian noise channel.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
C1 inhibitor: just a serine protease inhibitor? New and old considerations on therapeutic applications of C1 inhibitor (2008)

C1 inhibitor is a potent anti-inflammatory protein as it is the major inhibitor of proteases of the contact and the complement systems. C1-inhibitor administration is an effective therapy in the treatment of patients with hereditary angioedema (HAE) who are genetically deficient in C1 inhibitor. Owing to its ability to modulate the contact and complement systems and the convincing safety profile, plasma-derived C1 inhibitor is an attractive therapeutic protein to treat inflammatory diseases other than HAE. In the present review we give an overview of the biology of C1 inhibitor and its use in HAE. Furthermore, we discuss C1 inhibitor as an experimental therapy in diseases such as sepsis and myocardial infarction.
Polymerization of water‐in‐oil microemulsions: Methyl methacrylate, acrylic acid, and sodium acrylamidostearate (1985)

Abstract Water‐in‐oil (w/o) microemulsions of methyl methacrylate (MMA), acrylic acid (AA), sodium acrylamidostearate (NaAAS), and water were investigated. MMA, AA, and NaAAS could be terpolymerized in these microemulsions. For a composition of 54% MMA, 34% AA, 2% NaAAS, and 10% H 2 O, polymers of high molecular weights of about 1,000,000 were obtained between 3.5 to 24% polymer conversion. The system became a transparent gel when conversion exceeded 36%. Transparent solid terpolymer containing water up to 16% were also obtained after fully polymerizations of certain compositions.
Nitride micro-LEDs and beyond - a decade progress review (2013)

Since their inception, micro-size light emitting diode (µLED) arrays based on III-nitride semiconductors have emerged as a promising technology for a range of applications. This paper provides an overview on a decade progresses on realizing III-nitride µLED based high voltage single-chip AC/DC-LEDs without power converters to address the key compatibility issue between LEDs and AC power grid infrastructure; and high-resolution solid-state self-emissive microdisplays operating in an active driving scheme to address the need of high brightness, efficiency and robustness of microdisplays. These devices utilize the photonic integration approach by integrating µLED arrays on-chip. Other applications of nitride µLED arrays are also discussed.
Antenna‐coupled microbolometers on a silicon‐nitride membrane (2005)

Abstract Square‐spiral antenna‐coupled microbolometers made of gold and chrome are fabricated on a silicon‐nitride membrane. The membrane gives mechanical stability and thermal isolation to the detectors so that they can be used as picture elements in commercial infrared‐imaging systems. The fabricated devices are measured under room pressure and under vacuum, giving D * values of 3 × 10 6 cm $\sqrt{Hz}$ /W and 1.7 × 10 7 cm $\sqrt{Hz}$ /W, respectively. By using vanadium‐oxide, values well above 1 × 10 8 cm $\sqrt{Hz}$ /W for D * can be obtained. Variations to the fabrication process that will allow the use of vanadium oxide are suggested. © 2005 Wiley Periodicals, Inc. Microwave Opt Technol Lett 47: 246–248, 2005; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/mop.21226