gebhart/patrepeval huggingface dataset:
Identification of<i>Plasmodium falciparum</i>antigens by antigenic analysis of genomic and proteomic data (2003)

The recent explosion in genomic sequencing has made available a wealth of data that can now be analyzed to identify protein antigens, potential targets for vaccine development. Here we present, in the context of Plasmodium falciparum, a strategy that rapidly identifies target antigens from large and complex genomes. Sixteen antigenic proteins recognized by volunteers immunized with radiation-attenuated P. falciparum sporozoites, but not by mock immunized controls, were identified. Several of these were more antigenic than previously identified and well characterized P. falciparum-derived protein antigens. The data suggest that immune responses to Plasmodium are dispersed on a relatively large number of parasite antigens. These studies have implications for our understanding of immunodominance and breadth of responses to complex pathogens.
ChemInform Abstract: Discovery of Histone Deacetylase 8 Selective Inhibitors. (2012)

Abstract A library of small molecule inhibitors of histone deacetylase is prepared by coupling of macrocyclic aldehydes such as (VII) with bifunctional hydrazide reagents.
Offline arabic handwritten text recognition (2013)

Research in offline Arabic handwriting recognition has increased considerably in the past few years. This is evident from the numerous research results published recently in major journals and conferences in the area of handwriting recognition. Features and classifications techniques utilized in recent research work have diversified noticeably compared to the past. Moreover, more efforts have been diverted, in last few years, to construct different databases for Arabic handwriting recognition. This article provides a comprehensive survey of recent developments in Arabic handwriting recognition. The article starts with a summary of the characteristics of Arabic text, followed by a general model for an Arabic text recognition system. Then the used databases for Arabic text recognition are discussed. Research works on preprocessing phase, like text representation, baseline detection, line, word, character, and subcharacter segmentation algorithms, are presented. Different feature extraction techniques used in Arabic handwriting recognition are identified and discussed. Different classification approaches, like HMM, ANN, SVM, k-NN, syntactical methods, etc., are discussed in the context of Arabic handwriting recognition. Works on Arabic lexicon construction and spell checking are presented in the postprocessing phase. Several summary tables of published research work are provided for used Arabic text databases and reported results on Arabic character, word, numerals, and text recognition. These tables summarize the features, classifiers, data, and reported recognition accuracy for each technique. Finally, we discuss some future research directions in Arabic handwriting recognition.
Optimization of spiral‐based pulse sequences for first‐pass myocardial perfusion imaging (2011)

Although spiral trajectories have multiple attractive features such as their isotropic resolution, acquisition efficiency, and robustness to motion, there has been limited application of these techniques to first-pass perfusion imaging because of potential off-resonance and inconsistent data artifacts. Spiral trajectories may also be less sensitive to dark-rim artifacts that are caused, at least in part, by cardiac motion. By careful consideration of the spiral trajectory readout duration, flip angle strategy, and image reconstruction strategy, spiral artifacts can be abated to create high-quality first-pass myocardial perfusion images with high signal-to-noise ratio. The goal of this article was to design interleaved spiral pulse sequences for first-pass myocardial perfusion imaging and to evaluate them clinically for image quality and the presence of dark-rim, blurring, and dropout artifacts.
Laboratory Development of a Novel, Synthetic Oil-Based Reservoir Drilling and Gravel-Pack Fluid System That Allows Simultaneous Gravel-Packing and Cake-Cleanup in Open-Hole Completions (2000)

Abstract In this paper, we present a novel approach for drilling and completing open hole horizontal wells with a fully compatible synthetic/oil-based fluid system utilizing shunt tube technology. The proposed RDF is a synthetic/oil-external emulsion that is reversible through exposure to a fluid of pH less than 7. A surfactant package included in the RDF water- wets the bridging/weighting agents (e.g., CaCO3) upon reversal of the emulsion. The synthetic/oil external emulsion developed for gravel packing typically contains 50-75% by volume aqueous phase as the internal phase and is completely solids-free. The internal phase can either be brine or a pH- reducer as well as a fit for purpose dissolver for the bridging agents. The pH-reducing property of the internal phase provides the required break mechanism for the S/OB-RDF emulsion remaining in the RDF filtercake under leakoff conditions allowing the bridging agents and drill solids to be water-wet, ensuring dissolution of the bridging agents. Laboratory data are provided for filtercake removal kinetics as a function of temperature, overbalance during gravel packing, gravel mesh size, and drill solids concentration in the RDF. Rheological data are given. Retained permeabilities and flow initiation pressures measured with the combined core and gravel-pack system are presented. Implications of the laboratory results on field practice are discussed.
Recursive Statistical Blockade: An Enhanced Technique for Rare Event Simulation with Application to SRAM Circuit Design (2008)

Circuit reliability under statistical process variation is an area of growing concern. For highly replicated circuits such as SRAMs and flip flops, a rare statistical event for one circuit may induce a not-so-rare system failure. The Statistical Blockade was proposed as a Monte Carlo technique that allows us to efficiently filter-to <i xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">block</i> -unwanted samples insufficiently rare in the tail distributions we seek. However, there are significant practical problems with the technique. In this work, we show common scenarios in SRAM design where these problems render Statistical Blockade ineffective. We then propose significant extensions to make Statistical Blockade practically usable in these common scenarios. We show speedups of 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> + over standard Statistical Blockade and 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">4</sup> + over standard Monte Carlo, for an SRAM cell in an industrial 90 nm technology.
Finite-length channel-shortening space-time equalisers for MIMO linear frequency-selective channels (2002)

Finite-length delay-optimized multi-input multi-output (MIMO) equalizers that optimally shorten the impulse response memory of frequency-selective (MIMO) channels are derived. The MIMO equalizers are designed to minimize the average energy of the error sequence between the equalized MIMO channel impulse response (CIR) and a MIMO target impulse response (TIR) with shorter memory. Two criteria for optimizing the MIMO TIR are analyzed and compared. The presented analytical framework encompasses a multitude of previously-studied finite-length equalization techniques.
Mouse galactokinase: isolation, characterization, and location on chromosome 11. (1995)

Elevated galactose levels can be caused by several enzyme defects, one of which is galactokinase. Galactokinase deficiency cause congenital cataracts during infancy and presenile cataracts in the adult population. We have isolated the mouse cDNA for galactokinase, which shares extensive amino acid sequence homology, 88% identity, with a recently cloned human galactokinase. It is expressed in all tissues examined. In an interspecific backcross analysis galactokinase maps to the distal region of mouse chromosome 11, a region that is homologous to human chromosome 17q22-25. The availability of the mouse gene provides an opportunity to make a knockout model for galactokinase deficiency.
Reducing chemical shift artifacts in MRI in time-varying gradients (1989)

An image processing algorithm to reduce chemical shift artifacts in MRI (magnetic resonance imaging) with time-varying gradients and to obtain the chemical shift images without increasing the imaging time is presented. It is known that when both gradients in two directions of the imaging plane are time-varying, such as in the spiral-type scanning MRI, the chemical shift artifacts appear as a blurred image. The artifacts cannot be neglected, since the total power of the out-of-focus point spread function (PSF) for the blurred image equals that of the in-focus PSF. The proposed algorithm separates the chemical shift images by iteratively estimating the artifacts under an a priori constraint that the original images should have a real and nonnegative value. Computer simulation results show that the average amplitude of the artifacts can be reduced significantly after several iterations, and that the algorithm works well even when the observation noise exists.
Aqueous phase epoxidation of 1-butene catalyzed by suspension of Au/TiO2 +TS-1 (2009)

A combination of two catalysts, Au/TiO2 and TS-1 were used to catalyze the demanding reaction of butene epoxidation in an aqueous solution using molecular oxygen under very mild reaction conditions. Peroxy initiator was not necessary but carbon monoxide as a sacrificial reductant was needed. Carbon monoxide conversions increase with time on stream suggesting the generation of a highly active aqueous phase CO oxidation catalyst.
Determinism is overrated: what really makes multithreaded programs hard to get right and what can be done about it? (2013)

Our accelerating computational demand and the rise of multicore hardware have made parallel programs, especially shared-memory multithreaded programs, increasingly pervasive and critical. Yet, these programs remain extremely difficult to write, test, analyze, debug, and verify. Conventional wisdom has attributed these difficulties to nondeterminism, and researchers have recently dedicated much effort to bringing determinism into multithreading. In this paper, we argue that determinism is not as useful as commonly perceived: it is neither sufficient nor necessary for reliability. We present our view on why multithreaded programs are difficult to get right, describe a promising approach we call stable multithreading to dramatically improve reliability, and summarize our last four years' research on building and applying stable multithreading systems.
Design of Stub Printed Dipole Antenna for Dual-Band Operation (2006)

This paper describes a printed antenna structure which provides dual-band operation. The operating principle, based on the transmission line theory, is very clear and provides an automatic design program. Systematic design is possible for a given specification. A dual-band antenna operating at 1.90, 2.72GHz bands was designed and fabricated. The measurement result of this antenna verifies the proposed structure and program.
Object-oriented source and channel coding for video messaging applications over wireless networks (2002)

We describe a source and channel coding algorithm suitable for video messaging over wireless networks. The research platform is based on ITU-T H.263 video coding, Reed Solomon channel coding, data interleaving and a wireless network provided by Lucent's WaveLAN. We consider the special characteristics of one-way video messaging, and propose rate control, unequal error protection and error concealment algorithms with features for object-oriented quality enhancement. These features consist of: (1) object-oriented bit allocation based on the segmentation of video into objects of interest, (2) unequal channel error protection by object-oriented data partitioning, and (3) object-oriented error concealment using the locations and motion vectors of object. Based on experiments with head and shoulders scenes, the subjective quality and error resilience of decoded video are seen to increase significantly. Simulation results show that the proposed algorithm is effective at high packet loss rates and with clustered packet losses.
Nuclear magnetic resonance gyroscope: For DARPA's micro-technology for positioning, navigation and timing program (2014)

Information on the Nuclear Magnetic Resonance Gyro under development by Northrop Grumman Corporation is presented. The basics of Operation are summarized, a review of the completed phases is presented, and the current state of development and progress in phase 4 is discussed. Many details have been left out for the sake of brevity, but the principles are still complete.
Learning a terrain model for autonomous navigation in rough terrain (2005)

Current approaches to local rough-terrain navigation are limited by their ability to build a terrain model from sensor data. Available sensors make very indirect measurements of quantities of interest such as the supporting ground surface and the location of obstacles. This is especially true in domains where vegetation may hide the ground surface or partially obscure obstacles. 
This thesis presents two related approaches for automatically learning how to use sensor data to build a local terrain model that includes the height of the supporting ground surface and the location of obstacles in challenging rough-terrain environments that include vegetation. The first approach uses an online learning method that directly learns the mapping between sensor data and ground height through experience with the world. The system can be trained by simply driving through representative areas. The second approach includes a terrain model that encodes structure in the world such as ground smoothness, class continuity, and similarity in vegetation height. This structure helps constrain the problem to better handle dense vegetation. 
Results from an autonomous tractor show that the mapping from sensor data to a terrain model can be automatically learned, and that exploiting structure in the environment improves ground height estimates in vegetation.
Online data fusion (2011)

The Web contains a significant volume of structured data in various domains, but a lot of data are dirty and erroneous, and they can be propagated through copying. While data integration techniques allow querying structured data on the Web, they take the union of the answers retrieved from different sources and can thus return conflicting information. Data fusion techniques, on the other hand, aim to find the true values, but are designed for offline data aggregation and can take a long time. This paper proposes Solaris, the first online data fusion system. It starts with returning answers from the first probed source, and refreshes the answers as it probes more sources and applies fusion techniques on the retrieved data. For each returned answer, it shows the likelihood that the answer is correct, and stops retrieving data for it after gaining enough confidence that data from the unprocessed sources are unlikely to change the answer. We address key problems in building such a system and show empirically that the system can start returning correct answers quickly and terminate fast without sacrificing the quality of the answers.
Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition (2018)

Automatic emotion recognition is a challenging task. In this paper, we present our effort for the audio-video based sub-challenge of the Emotion Recognition in the Wild (EmotiW) 2018 challenge, which requires participants to assign a single emotion label to the video clip from the six universal emotions (Anger, Disgust, Fear, Happiness, Sad and Surprise) and Neutral. The proposed multimodal emotion recognition system takes audio, video and text information into account. Except for handcraft features, we also extract bottleneck features from deep neutral networks (DNNs) via transfer learning. Both temporal classifiers and non-temporal classifiers are evaluated to obtain the best unimodal emotion classification result. Then possibilities are extracted and passed into the Beam Search Fusion (BS-Fusion). We test our method in the EmotiW 2018 challenge and we gain promising results. Compared with the baseline system, there is a significant improvement. We achieve 60.34% accuracy on the testing dataset, which is only 1.5% lower than the winner. It shows that our method is very competitive.
Thiourea Inhibitors of Herpes Viruses. Part 1. Bis‐(aryl)thiourea Inhibitors of CMV. (2003)

Abstract For Abstract see ChemInform Abstract in Full Text.
Improved Portable Ultrasonic Leak Detectors (1995)

Improved portable ultrasonic leak detector features three interchangeable ultrasonic-transducer modules, each suited for operation in unique noncontact or contact mode. One module equipped with ultrasound-collecting horn for use in scanning to detect leaks from distance; horn provides directional sensitivity pattern with sensitivity multiplied by factor of about 6 in forward direction. Another module similar, does not include horn; this module used for scanning close to suspected leak, where proximity of leak more than offsets loss of sensitivity occasioned by lack of horn. Third module designed to be pressed against leaking vessel; includes rugged stainless-steel shell. Improved detectors perform significantly better, smaller, more rugged, and greater sensitivity.
High-performance millimetre-wave suspended stripline Gunn VCO (1986)

A novel millimetre-wave integrated circuit Gunn voltagecontrolled oscillator (VCO) has been developed with high output power using suspended stripline. An output power of 100 to 150mW has been achieved at frequencies between 33 and 42 GHz. A varactor diode was mounted in alignment and in close proximity to the Gunn diode to achieve an electronic tuning range of 300 MHz
Long-Acting and Safe Sunscreens with Ultrahigh Sun Protection Factor via Natural Lignin Encapsulation and Synergy (2018)

Requirements for safe, stable, and long-acting sunscreens are successfully accomplished by natural lignin due to its broad-spectrum ultraviolet (UV)-blocking and synergistic properties. Chemical sunscreens are encapsulated in enzymatic hydrolysis lignin (EHL) by a one-step high-intensity ultrasound method. Chemical sunscreen/EHL microcapsules were formed with 3 min processing, and the product could be stored without leaking for more than a whole year. Adding H<sub>2</sub>O<sub>2</sub> increased the cross-linking degree of EHL on the surface of the capsules. When 5 wt % alkyl polyglucoside (APG) was added as surfactant, the size of capsules dramatically decreased to ∼100 nm and the ratio of EHL and chemical sunscreen reached 1:1, which significantly enhanced UV-blocking ability of the composites. Compared to the creams containing chemical sunscreen/EHL microcapsules and free chemical sunscreen, the sun protection factor (SPF) of the cream containing the same amount of chemical sunscreen/EHL nanocapsules increased 85% and 195%, respectively. The cream containing 10 wt % of UVA and UVB type chemical sunscreen coencapsulated nanocapsules gave SPF 408. Due to antiphotolysis protection of EHL, the SPF of the creams increased initially and was maintained for more than 8 h under UV radiation. There was no obvious leaking or permeation of chemical sunscreens from the capsules. The EHL-based capsules showed good biocompatibility.
Five-minute analysis of chemotherapy drugs and metabolites in saliva: evaluating dosage (2004)

Traditional cancer treatment, surgical removal and gamma- or x-ray irradiation, is often augmented by the use of chemotherapy drugs. Theses drugs prevent cancer cell growth through a variety of biochemical mechanisms, but are not target specific and kill other cells. Consequently, the amount administered has a narrow range of safe and effective use. Furthermore, because of the dangerous side-effects of these drugs, clinical trials can not be performed, and a statistical basis for dosage is not available. Instead, the concentration of the drugs and their metabolites are monitored during treatment of cancer patients, Unfortunately current practices require 10-20 mL of blood per analysis, and multiple samples to profile pharmacokinetics may further jeopardize the patient's health. Saliva analysis has long been considered an attractive alternative, but the large sample volumes are difficult to obtain. In an effort to overcome this limitation we have been investigating metal-doped sol-gels to both separate drugs and their metabolites from saliva and generate surface-enhanced Raman spectra. We have incorporated the sol-gel in a disposable pipette format, and generally no more than two drops (100 μL) of sample are required. The detailed molecular vibrational information allows chemical identification, while the increase in Raman scattering by four to six orders of magnitude allows detection of nanomolar concentrations. Preliminary measurements will be presented.
Wind tunnel test results of a new leading edge flap design for highly swept wings, a vortex flap (1980)

A leading edge flap design for highly swept wings, called a vortex flap, was tested on an arrow wing model in a low speed wind tunnel. A vortex flap differs from a conventional plain flap in that it has a leading edge tab which is counterdeflected from the main portion of the flap. This results in intentional separation at the flap leading edge, causing a vortex to form and lie on the flap. By trapping this vortex, the vortex flap can result in significantly improved wing flow characteristics relative to conventional flaps at moderate to high angles of attack, as demonstrated by the flow visualization results of this tests.
Near-infrared compressive line sensing imaging system using individually addressable laser diode array (2015)

The compressive line sensing (CLS) active imaging system was proposed and validated through a series of test-tank experiments. As an energy-efficient alternative to the traditional line-scan serial image, the CLS system will be highly beneficial for long-duration surveillance missions using unmanned, power-constrained platforms such as unmanned aerial or underwater vehicles. In this paper, the application of an active spatial light modulator (SLM), the individually addressable laser diode array, in a CLS imaging system is investigated. In the CLS context, active SLM technology can be advantageous over passive SLMs such as the digital micro-mirror device. Initial experimental results are discussed.
The diagnostic value of zinc transporter 8 autoantibody (ZnT8A) for type 1 diabetes in Chinese (2010)

ZnT8A is an independent marker for T1D in Chinese and combined with GADA and IA-2A enhances diagnostic sensitivity. ZnT8A may be associated with different clinical phenotypes than GADA or IA-2A.
Passive optical network deployment in North America [Invited] (2007)

Feature Issue on Passive Optical Network Architectures and TechnologiesWe review the history of passive optical networking development and deployments in North America. The development of standards is discussed. We review early trials of passive optical network (PON) systems in North America, starting with A-PON, continuing with the current B-PON initiatives by Verizon and AT&T, and concluding with the initial view on G-PON emergence. Examples of how the fiber network is constructed in residential-focused B-PON deployments by AT&T and Verizon are shown. We provide several lessons learned. We conclude with a discussion of the various next-generation PON options under consideration in the industry forums and standards groups.