gebhart/patrepeval huggingface dataset:
Investigation of maximum wind power extraction using adaptive virtual lookup-table approach (2010)

With the advance of power electronic technology, direct-driven permanent magnet synchronous generators (PMSG) have increasingly drawn interests to wind turbine manufacturers. Unlike a fixed-speed wind turbine, the maximum power extraction of a PMSG wind turbine is affected by (1) electrical characteristics of the generator, (2) aerodynamic characteristics of the turbine blades, and (3) maximum power extraction strategies. In an environment integrating all the three characteristics, it is found in this paper that the existing commercial lookup-table maximum power extraction mechanism suitable to a DFIG wind turbine is not suitable to a PMSG wind turbine. Through the integrative study of all the three characteristics, this paper proposes a novel PMSG maximum power extraction design. The special features of the proposed strategy include (i) an adaptive virtual lookup-table approach for PMSG maximum power extraction and (ii) an implementation of the peak power-tracking scheme based on a novel direct-current vector control configuration. The proposed maximum power extraction mechanism with a nested speed- and current-loop control structure is built by using MatLab SimPowerSystems. Simulation studies demonstrate that the proposed PMSG peak power-tracking strategy has superior performance in various aspects under both stable and gust wind conditions. Copyright © 2010 John Wiley & Sons, Ltd.
Identification of vulnerable atherosclerotic plaque by analysis of time-varying laser speckle patterns (2004)

We describe laser speckle analysis for atherosclerotic plaque characterization and fibrous cap thickness estimation. Speckle analysis had a high sensitivity and specificity for detecting vulnerable atherosclerotic plaque, even in the presence of physiological motion.
The role of Mg interface layer in MgO magnetic tunnel junctions with CoFe and CoFeB electrodes (2012)

The tunneling spin polarization (TSP) is directly measured from reactively sputter deposited crystalline MgO tunnel barriers with various CoFe(B) compositions using superconducting tunneling spectroscopy. We find that the Mg interface layer thickness dependence of TSP values for CoFeB/Mg/MgO junctions is substantially different from those for CoFe/Mg/MgO especially in the pre-annealed samples due to the formation of boron oxide at the CoFeB/MgO interface. Annealing depletes boron at the interface thus requiring a finite Mg interface layer to prevent CoFeOx formation at the CoFeB/MgO interface so that the TSP values can be optimized by controlling Mg thickness.
Safe direct current stimulator 2: Concept and design (2013)

Essentially all neuroprostheses use alternating biphasic current pulses to stimulate neural tissue. While this method can effectively excite neurons, it is not very effective for inhibiting them. In contrast, direct current (DC) can excite, inhibit, and modulate sensitivity of neurons. However, DC stimulation is biologically unsafe because it violates safe charge injection criteria. We have previously described the concept of a safe direct current stimulator (SDCS) that overcomes this constraint. The SDCS drives DC ionic current into the tissue by switching fluid valves in phase with biphasic current pulses delivered to the metal electrodes within the device. The original prototype of this device, SDCS1, could both suppress and excite the vestibular nerve with DC stimulation delivered by the device. In the process of building the SDCS1 we identified several problems that must be addressed to further develop this technology. Consequently, we designed the SDCS2, which eliminates periodic interruptions in stimulation current flow observed in the original SDCS1 design and is small enough for head-mounted use in chronic animal studies.
Class-AB techniques for high-dynamic-range microwave-photonic links (2006)

Class-AB techniques are analyzed as a means to minimize the noise associated with the residual carrier in analog optical links. A bound for shot and intensity noise is derived and compared to previously reported measurements. It is found that for an ideal modulator transfer function (Class B), a substantial improvement in shot-noise limited spur-free dynamic range (e.g., 11.7 dB at 10% modulation) can be realized.
Impact of Intrascalar Electrode Location, Electrode Type, and Angular Insertion Depth on Residual Hearing in Cochlear Implant Patients (2015)

Scalar excursion is a strong predictor of losing residual hearing. However, neither age, sex, electrode type, nor angular insertion depth was correlated with hearing preservation in the full ST group. Techniques to decrease the risk of electrode excursion from ST are likely to result in improved residual hearing and CI performance.
Location corroborations by mobile devices without traces (2016)

A location corroboration of a person is a proof, in the form of a digital record, indicating that this person was at a particular place at a given time. That is, given a user u, a location l and a time t, a location corroboration is a certified evidence that u was at location l at time t. Such corroborations can be used in legal procedures, help solving personal disputes or enable services that rely on knowing with certainty the location of a user at a given time. A corroboration without traces means that the user location is not stored in any public server or in any other public entity, to protect the user privacy. In this paper we present the problem of producing a location corroboration without traces, using a mobile device, and we discuss possible solutions to it.
Distributed birefringence measurement in optical fibers with ultra-high spatial resolution by brillouin gain analysis (2007)

Distributed birefringence measurement in optical fibers with ultra-high resolution of a few centimeters is proposed and demonstrated by Brillouin gain analysis with the optical correlation method. Local changes of polarization axes can also be detected. (2 pages)
Real-Time Neuroevolution in the NERO Video Game (2005)

In most modern video games, character behavior is scripted; no matter how many times the player exploits a weakness, that weakness is never repaired. Yet, if game characters could learn through interacting with the player, behavior could improve as the game is played, keeping it interesting. This paper introduces the real-time Neuroevolution of Augmenting Topologies (rtNEAT) method for evolving increasingly complex artificial neural networks in real time, as a game is being played. The rtNEAT method allows agents to change and improve during the game. In fact, rtNEAT makes possible an entirely new genre of video games in which the player trains a team of agents through a series of customized exercises. To demonstrate this concept, the Neuroevolving Robotic Operatives (NERO) game was built based on rtNEAT. In NERO, the player trains a team of virtual robots for combat against other players' teams. This paper describes results from this novel application of machine learning, and demonstrates that rtNEAT makes possible video games like NERO where agents evolve and adapt in real time. In the future, rtNEAT may allow new kinds of educational and training applications through interactive and adapting games.
Production of polyhydroxybutyrate in switchgrass, a value‐added co‐product in an important lignocellulosic biomass crop (2008)

Polyhydroxyalkanoate bio-based plastics made from renewable resources can reduce petroleum consumption and decrease plastic waste disposal issues as they are inherently biodegradable in soil, compost and marine environments. In this paper, the successful engineering of the biomass crop switchgrass (Panicum virgatum L.) for the synthesis of polyhydroxybutyrate (PHB) is reported. Polymer production was monitored in more than 400 primary transformants grown under in vitro and glasshouse conditions. Plants containing up to 3.72% dry weight of PHB in leaf tissues and 1.23% dry weight of PHB in whole tillers were obtained. Results from the analysis of the polymer distribution at the cellular and whole plant levels are presented, and target areas for the improvement of PHB production are highlighted. Polymer accumulation was also analysed in the T(1) generation obtained from controlled crosses of transgenic plants. This study presents the first successful expression of a functional multigene pathway in switchgrass, and demonstrates that this high-yielding biomass crop is amenable to the complex metabolic engineering strategies necessary to produce high-value biomaterials with lignocellulose-derived biofuels.
Asynchronous brain–computer interface for cognitive assessment in people with cerebral palsy (2017)

Thus, our BCI-facilitated PPVT-IV provided comparable results to the standard PPVT-IV, suggesting that populations for whom standardized cognitive tests are not accessible could benefit from our BCI-facilitated approach.
New High-Definition Frequency Tool for Tubing and Multiple Casing Corrosion Detection (2017)

Abstract An electromagnetic corrosion inspection tool was designed to accurately assess corrosion in as many as five nested pipes. This paper provides details of the principles of operations and the methodology of the algorithms used for data processing of this tool. This tool uses the eddy current principle and includes two transmitters and eight receivers. It operates in continuous wave mode at multiple frequencies. Optimized transmitter-receiver spacing configurations and multifrequency operation provide sufficiently diverse information to help assess the metal loss in each individual pipe for a wide range of configurations. The performance of the tool was validated with synthetic and actual data by using controlled tests and experiments. These tests demonstrated the accurate determination of the defect positions and metal loss in each individual pipe of a multiple configuration. To validate the wide operational range of the tool, synthetic tests were used that included challenging scenarios, such as the identification of defects with a total metal thickness of all casings of more than 2 in. or overlapping defects at the same axial position. Finally, the accuracy of the tool in practical scenarios was verified by using results from well tests. The electromagnetic corrosion inspection tool has delivered unprecedented accurate assessments of the fourth and fifth pipes, as well as an accurate assessment of the first, second, and third pipes. The information provided by this tool can significantly improve decision-making for mature well operations, especially in areas with high corrosion rates, and could result in significant cost savings to the operator.
344: Off-the-Shelf Tumor Immunotherapy with Genetically Enhanced Allogeneic T-Cell Precursors (2008)

T cell deficiencies can occur in many physiological and pathophysiological settings such as aging, malignant diseases, and cytostatic therapy. We recently reported that co-transplantation of in vitro generated T cell precursors significantly enhances T cell reconstitution after allogeneic HSCT resulting in increased graft-versus-tumor activity without graft-versus-host disease. The aim of our present study was to evaluate if allogeneic T cell precursors can safely be transferred across MHC barriers in the absence of allogeneic HSCs to improve anti-tumor activity in immunosuppressed recipients. We found that adoptively transferred allogeneic (C57BL/6) precursor cells in irradiated hosts (BALB/c) develop into fully functional allogeneic T cells characterized by a host-MHC restricted and host-tolerant T cell receptor. We show that adoptively transferred allogeneic T cell precursors significantly improve survival of BALB/c mice after irradiation (675 cGy) and enhance anti-tumor activity against A20 lymphoma and renal cell carcinoma in syngeneic HSCT recipients. Furthermore, we demonstrate the feasibility of genetic engineering of antigen-specific T cell precursors, by transducing them to express a chimeric antigen receptor (CAR) targeting hCD19. Immunotherapy with CAR-expressing T cell precursors resulted in the in vivo generation of high numbers of appropriately selected T cells expressing the CAR, which persisted for at least two months after transfer and mediated significantly enhanced anti-tumor activity (compared with CAR-negative T cell precursors) against a CAR-sensitive tumor, without any undesirable auto/alloreactivity. We conclude that T cell precursors from any donor can be used universally for adoptive immunotherapy in any immunosuppressed individual irrespective of MHC disparities. The use of allogeneic precursors cells instead of autologous cells eliminates the risk of contamination with residual malignant patient cells and allows the generation and storage of virtually unlimited quantities of precursor cells for ‘off-the-shelf’ immunotherapy. This procedure is not only labor and cost-effective, but it facilitates the application of gene transfer technology, to generate antigen-specific or otherwise enhanced designer cells. Adoptive transfer of allogeneic and genetically enhanced T cell precursors therefore represents a promising novel strategy for targeted ‘off-the-shelf’ immunotherapy in immunosuppressed patients.
Reverse micelle and microemulsion phases in supercritical fluids (1988)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTReverse micelle and microemulsion phases in supercritical fluidsJohn L. Fulton and Richard D. SmithCite this: J. Phys. Chem. 1988, 92, 10, 2903–2907Publication Date (Print):May 1, 1988Publication History Published online1 May 2002Published inissue 1 May 1988https://doi.org/10.1021/j100321a039RIGHTS & PERMISSIONSArticle Views543Altmetric-Citations76LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (712 KB) Get e-Alerts
Deep Scattering Spectrum with deep neural networks (2014)

State-of-the-art convolutional neural networks (CNNs) typically use a log-mel spectral representation of the speech signal. However, this representation is limited by the spectro-temporal resolution afforded by log-mel filter-banks. A novel technique known as Deep Scattering Spectrum (DSS) addresses this limitation and preserves higher resolution information, while ensuring time warp stability, through the cascaded application of the wavelet-modulus operator. The first order scatter is equivalent to log-mel features and standard CNN modeling techniques can directly be used with these features. However the higher order scatter, which preserves the higher resolution information, presents new challenges in modelling. This paper explores how to effectively use DSS features with CNN acoustic models. Specifically, we identify the effective normalization, neural network topology and regularization techniques to effectively model higher order scatter. The use of these higher order scatter features, in conjunction with CNNs, results in relative improvement of 7% compared to log-mel features on TIMIT, providing a phonetic error rate (PER) of 17.4%, one of the lowest reported PERs to date on this task.
Noise-Adaptive Non-Blind Image Deblurring (2022)

This work addresses the problem of non-blind image deblurring for arbitrary input noise. The problem arises in the context of sensors with strong chromatic aberrations, as well as in standard cameras, in low-light and high-speed scenarios. A short description of two common classical approaches to regularized image deconvolution is provided, and common issues arising in this context are described. It is shown how a pre-deconvolved deep neural network (DNN) based image enhancement can be improved by joint optimization of regularization parameters and network weights. Furthermore, a two-step approach to deblurring based on two DNNs is proposed, with the first network estimating deconvolution regularization parameters, and the second one performing image enhancement and residual artifact removal. For the first network, a novel RegParamNet architecture is introduced and its performance is examined for both direct and indirect regularization parameter estimation. The system is shown to operate well for input noise in a three orders of magnitude range (0.01-10.0) and a wide spectrum of 1D or 2D Gaussian blur kernels, well outside the scope of most previously explored image blur and noise degrees. The proposed method is found to significantly outperform several leading state-of-the-art approaches.
New inhibitor targeting human transcription factor HSF1: effects on the heat shock response and tumor cell survival (2017)

Comparative modeling of the DNA-binding domain of human HSF1 facilitated the prediction of possible binding pockets for small molecules and definition of corresponding pharmacophores. In silico screening of a large library of lead-like compounds identified a set of compounds that satisfied the pharmacophoric criteria, a selection of which compounds was purchased to populate a biased sublibrary. A discriminating cell-based screening assay identified compound 001, which was subjected to systematic analysis of structure-activity relationships, resulting in the development of compound 115 (IHSF115). IHSF115 bound to an isolated HSF1 DNA-binding domain fragment. The compound did not affect heat-induced oligomerization, nuclear localization and specific DNA binding but inhibited the transcriptional activity of human HSF1, interfering with the assembly of ATF1-containing transcription complexes. IHSF115 was employed to probe the human heat shock response at the transcriptome level. In contrast to earlier studies of differential regulation in HSF1-naïve and -depleted cells, our results suggest that a large majority of heat-induced genes is positively regulated by HSF1. That IHSF115 effectively countermanded repression in a significant fraction of heat-repressed genes suggests that repression of these genes is mediated by transcriptionally active HSF1. IHSF115 is cytotoxic for a variety of human cancer cell lines, multiple myeloma lines consistently exhibiting high sensitivity.
ChemInform Abstract: Improving Grubbs′ II Type Ruthenium Catalysts by Appropriately Modifying the N‐Heterocyclic Carbene Ligand. (2009)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 200 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.
Poling of multiple PVDF films by moving corona discharge (1989)

Abstract Several sheets of stretched PVDF film are corona discharged by using a pair of thin electrodes which are allowed to move up-and-down repeatedly for the desired poling. Films with piezoelectric constant d 31=22 pC/N and production yield ∼100% are readily obtainable by using this technique running at the room temperature.
Optical fiber coating concentricity: measurement and analysis (1977)

Backscattering of laser light that is incident at right angles to the axis of an optical fiber is utilized to evaluate the degree of eccentricity of a plastic jacket on the fiber. An analytical treatment of the problem based on ray optics is shown to be in excellent agreement with experiments, which are capable of detecting coreto- jacket offsets on the order of 1 microm.
Queue management for explicit rate based congestion control (1997)

Rate based congestion control has been considered desirable, both to deal with the high bandwidth-delay products of today's high speed networks, and to match the needs of emerging multimedia applications. Explicit rate control achieves low loss because sources transmit smoothly at a rate adjusted through feedback to be within the capacity of the resources in the network. However, large feedback delays, presence of higher priority traffic, and varying transient situations make it difficult to ensure feasibility (i.e., keep the aggregate arrival rate below the bottleneck resource's capacity) while also maintaining high resource utilization. These conditions along with the "fast start" desired by data applications often result in substantial queue buildups.We describe a scheme that manages the queue buildup at a switch even under the most aggressive patterns of sources, in the context of the Explicit Rate option for the Available Bit Rate (ABR) congestion control scheme. A switch observes the buildup of its queue, and uses it to reduce the portion of the link capacity allocated to sources bottlenecked at that link. We use the concept of a "virtual" queue, which tracks the amount of queue that has been "reduced", but has not yet taken effect at the switch. We take advantage of the natural timing of "resource management" (RM) cells transmitted by sources. The scheme is elegant in that it is simple, and we show that it reduces the queue buildup, in some cases, by more than two orders of magnitude and the queue size remains around a desired target. It maintains max-min fairness even when the queue is being drained. The scheme is scalable, and is as responsive as can be expected: within the constraints of the feedback delay. Finally, no changes are needed to the ATM Forum defined source/destination policies.
A Treadmill Ramp Protocol Using Simultaneous Changes in Speed and Grade (2003)

This treadmill protocol provides a linear profile of work rate as is currently standard for cycle ergometry and is appropriate for testing of subjects with low exercise tolerance.
The Unthinkable: Automated Theorem Provers For (Tracing) Just-in-Time Compilers (2010)

Tracing just-in-time compilers (TJITs) determine frequently executed traces (hot paths and loops) at run time. These traces are then analyzed and optimized, and finally specialized machine code is generated. Up to now, TJITs employed standard compiler construction algorithms to analyze and optimize traces. We propose to leverage automated theorem provers to optimize traces at run time.