gebhart/patrepeval huggingface dataset:
Molecular cloning, expression, and chromosome 19 localization of a human Ro/SS-A autoantigen. (1990)

Ro/SS-A antibodies are found in a number of human autoimmune disorders including Sjogren's syndrome and several systemic lupus erythematosus-related disorders. These heterogeneous autoantibodies are known to recognize several distinct cellular antigens. With synthetic oligonucleotides corresponding to amino acid sequence information we have isolated a full-length cDNA clone which encodes a human Ro ribonucleoprotein autoantigen. The 1,890-base pair clone contains an open reading frame that encodes a 417-amino acid, 48-kD polypeptide that migrates aberrantly at 60 kD by SDS-PAGE. Rabbit antibodies raised against this protein's recently described amino-terminal epitope react with a previously identified 52-kD human Ro protein and immunoprecipitate the human cytoplasmic RNAs. Ultraviolet light cross-linking studies suggest that this Ro protein binds each of the four major human cytoplasmic RNAs. The deduced amino acid sequence is 63% homologous to an Onchocerca volvulus antigen. Southern filter hybridization analysis indicates that this gene is not highly polymorphic and exists as a single copy in the human genome. Chromosomal localization studies place this gene on the short arm of chromosome 19 near the gene encoding the low density lipoprotein receptor.
Oxidative steam reforming of methanol over CuZnAl(Zr)-oxide catalysts; a new and efficient method for the production of CO-free hydrogen for fuel cells (1999)

Steam reforming of methanol in the presence of air over CuZnAl(Zr)-oxide catalysts derived from hydrotalcite-like hydroxycarbonate precursors offers CO-free hydrogen suitable for fuel cells with about 100% methanol conversion at around 230 °C.
Ligand Mediated Luminescence Enhancement in Cyclometalated Rhodium(III) Complexes and Their Applications in Efficient Organic Light-Emitting Devices (2019)

A series of luminescent cyclometalated rhodium(III) complexes have been designed and prepared. The improved luminescence property is realized by the judicious choice of a strong σ-donor cyclometalating ligand with a lower-lying intraligand (IL) state that would raise the d-d excited state and introduction of a lower-lying emissive IL excited state. These complexes exhibit high thermal stability and considerable luminescence quantum yields as high as up to 0.65 in thin film, offering themselves as promising light-emitting materials in OLEDs. Respectable external quantum efficiencies of up to 12.2% and operational half-lifetimes of over 3000 h at 100 cd m<sup>-2</sup> have been achieved. This work demonstrates a breakthrough as the first example of an efficient rhodium(III) emitter for OLED application and opens up a new avenue for diversifying the development of OLED materials with rhodium metal being utilized as phosphors.
Non-linear Piezoelectric and Ferroelectric Actuators — Analysis and Potential Advantages (2008)

The ability to enhance and to improve the efficiency of piezoelectric actuators through extending their operational range into the non-linear regime is analytically investigated. Motivated by the limited strain actuation capabilities of the existing piezoelectric actuators, it is proposed to take advantage of the non-linear ferroelectric regime, which involves large remanent strains. In order to examine this hypothesis, an analytical model for the one-dimensional electro mechanical behavior of a ferroelectric structure operated in the non-linear range is developed. The model is applicable to rod actuators, to an active layer in a stack actuator, or to an active fiber in a Micro-Fiber-Composite actuator. The governing equations and the boundary conditions, the non-linear, hysteretic, and history-dependent constitutive relations, and the solution procedure are developed and discussed. Illustrative examples that examine an active layer operating against a dead load, against a linear spring, and against a uniformly distributed load are presented and discussed. The non-linear response is also compared with the response to electrical loads in the linear range and with the prediction of the linear piezoelectric theory. Emphasis is placed on the potential advantages that can be achieved through the operation in the non-linear range.
Synthesis and structure-activity relationships of 7.BETA.-[2-(2-aminothiazol-4-yl)acetamido]-cephalosporin derivatives. II. Synthesis and antibacterial activity of 7.BETA.-[2-(2-aminothiazol-4-yl)acetamido]-7.ALPHA.-methoxycephalosporins. (1980)

7 beta-[2-(2-Aminothiazol-4-yl)acetamido]-7 alpha-methoxycephalosporins were synthesized both by acylation of the 7 beta-amino-7 alpha-methoxycephalosporin compound (VIII) and a new direct acyl-exchange reaction of 7 alpha-methoxy-7 beta-phosphoramido compound (VII). Some of these compounds (IXa, IXb) showed higher antibacterial activity than the 7 alpha-unsubstituted compound against beta-lactamase-producing strains of Serratia marcescens and Proteus vulgaris.
Hollow pyramidal lattice truss structures (2011)

Abstract Pyramidal lattice core sandwich structures with millimeter scale hollow trusses have been assembled from 304 stainless steel tubes and bilayer face sheets, and bonded using a vacuum brazing approach. Rigid, large interfacial area nodes between the trusses and face sheets could be made by this approach. The through-thickness compression and transverse shear stiffness and strengths of these structures have been measured and compared with analytical predictions based upon plastic yielding and the various modes of lattice strut buckling. The compressive and shear strengths of hollow pyramidal lattices with relative densities of 1 to 6 % were 3 to 5 times those of solid pyramidal lattices of equivalent relative density and were accompanied by significant strength retention of the post buckled structures resulting in very high specific energy absorption.
Synthesis of large-area multilayer hexagonal boron nitride for high material performance (2015)

Although hexagonal boron nitride (h-BN) is a good candidate for gate-insulating materials by minimizing interaction from substrate, further applications to electronic devices with available two-dimensional semiconductors continue to be limited by flake size. While monolayer h-BN has been synthesized on Pt and Cu foil using chemical vapour deposition (CVD), multilayer h-BN is still absent. Here we use Fe foil and synthesize large-area multilayer h-BN film by CVD with a borazine precursor. These films reveal strong cathodoluminescence and high mechanical strength (Young’s modulus: 1.16±0.1 TPa), reminiscent of formation of high-quality h-BN. The CVD-grown graphene on multilayer h-BN film yields a high carrier mobility ofB24,000 cm2V 1 s 1 at room temperature, higher than that (B13,000 2V 1 s 1) with exfoliated h-BN. By placing additional h-BN on a SiO2/Si substrate for a MoS2 (WSe2) field-effect transistor, the doping effect from gate oxide is minimized and furthermore the mobility
Cheetah (2010)

Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementation Hadoop, has been widely adopted due to its impressive scalability and flexibility to handle structured as well as unstructured data. In this paper, we describe our data warehouse system, called Cheetah, built on top of MapReduce. Cheetah is designed specifically for our online advertising application to allow various simplifications and custom optimizations. First, we take a fresh look at the data warehouse schema design. In particular, we define a virtual view on top of the common star or snowflake data warehouse schema. This virtual view abstraction not only allows us to design a SQL-like but much more succinct query language, but also makes it easier to support many advanced query processing features. Next, we describe a stack of optimization techniques ranging from data compression and access method to multi-query optimization and exploiting materialized views. In fact, each node with commodity hardware in our cluster is able to process raw data at 1GBytes/s. Lastly, we show how to seamlessly integrate Cheetah into any ad-hoc MapReduce jobs. This allows MapReduce developers to fully leverage the power of both MapReduce and data warehouse technologies.
Cloning and expression of a cDNA encoding a brain-specific Na(+)-dependent inorganic phosphate cotransporter. (1994)

We have isolated a brain-specific cDNA that encodes a Na(+)-dependent inorganic phosphate (Pi) cotransporter (BNPI). The nucleotide sequence of BNPI predicts a protein of 560 amino acids with 6-8 putative transmembrane-spanning segments that is approximately 32% identical to the rabbit kidney Na(+)-dependent Pi cotransporter. Expression of BNPI mRNA in Xenopus oocytes results in Na(+)-dependent Pi transport similar to that reported for the recombinantly expressed or native kidney Na(+)-dependent cotransporter. RNA blot analysis reveals that BNPI mRNA is expressed predominantly (if not exclusively) in brain, and in situ hybridization histochemistry reveals BNPI transcripts in neurons of the cerebral cortex, hippocampus, and cerebellum. Furthermore, we have confirmed the presence of saturable Na(+)-dependent Pi cotransport in cultured cerebellar granule cells. Together, these data demonstrate the presence of a specific neuronal Na(+)-dependent transport system for Pi in brain.
A novel negative dielectric constant material based on phosphoric acid doped poly(benzimidazole) (2012)

Abstract Metamaterials or artificial negative index materials (NIMs) have generated great attention because of their unique electromagnetic properties. The main challenge in current NIM development is creating a homogenous NIM without the need of complex geometric architectures consisting of capacitors and inductors or aggregated fillers, but possessing a tunable plasma frequency. A natural material that can exhibit negative values for permittivity and permeability simultaneously has not been found, or discovered. If one can design a negative dielectric constant material with a tunable plasma frequency of interest, implementing negative permeability into the material or system would be much more readily achievable to create a metamaterial. In this regard, a novel negative dielectric constant material, which is an essential key to creating the NIMs, was developed by doping ions into a polymer, a protonated poly(benzimidazole) (PBI). The doped PBI showed a negative dielectric constant at frequencies of kHz to MHz because of its reduced plasma frequency and an induction effect. As temperature increased, the dielectric spectrum changed from a relaxation to a resonance behavior and exhibited a larger magnitude of negative dielectric constant at a lower frequency. The conductivity of the doped PBI measured as a function of both temperature and frequency followed the same trend as the dielectric constant. With respect to the dielectric constant and the conductivity data, it can be assumed that the origin of the negative dielectric constant is attributed to the resonance behavior of the highly mobile ions at elevated temperatures and high frequencies. © 2012 Wiley Periodicals, Inc. J Appl Polym Sci, 2012
Implementing Authentication Systems Based on Physical Unclonable Functions (2015)

We consider a complete implementation of an authentication system based on physical unclonable functions (PUFs), which eliminate the need to store private keys in non-volatile memory. However, strong PUF-based authentication protocols require computationally expensive cryptographic primitives, complicating deployment on resource-constrained hardware. We demonstrate that our strong PUF-based authentication system is capable of being deployed on resource-constrained hardware using a protocol extension that reduces the computational burden on the PUF-enabled device. We then experimentally evaluate the performance of our protocols for enrollment and authentication on a resource-constrained device.
Electrokinetic molecular separation in nanoscale fluidic channels (2005)

This report presents a study of electrokinetic transport in a series of integrated macro- to nano-fluidic chips that allow for controlled injection of molecular mixtures into high-density arrays of nanochannels. The high-aspect-ratio nanochannels were fabricated on a Si wafer using interferometric lithography and standard semiconductor industry processes, and are capped with a transparent Pyrex cover slip to allow for experimental observations. Confocal laser scanning microscopy was used to examine the electrokinetic transport of a negatively charged dye (Alexa 488) and a neutral dye (rhodamine B) within nanochannels that varied in width from 35 to 200 nm with electric field strengths equal to or below 2000 V m-1. In the negatively charged channels, nanoconfinement and interactions between the respective solutes and channel walls give rise to higher electroosmotic velocities for the negatively charged dye than for the neutral dye, towards the negative electrode, resulting in an anomalous separation that occurs over a relatively short distance (<1 mm). Increasing the channel widths leads to a switch in the electroosmotic transport behavior observed in microscale channels, where neutral molecules move faster because the negatively charged molecules are slowed by the electrophoretic drag. Thus a clear distinction between "nano-" and "microfluidic" regimes is established. We present an analytical model that accounts for the electrokinetic transport and adsorption (of the neutral dye) at the channel walls, and is in good agreement with the experimental data. The observed effects have potential for use in new nano-separation technologies.
Protective Immunization of Mice with an Active-Site Mutant of Subtilase Cytotoxin of Shiga Toxin-Producing <i>Escherichia coli</i> (2005)

We have recently described a novel AB(5) cytotoxin produced by certain Shiga toxin-producing Escherichia coli strains. The A subunit of this toxin is a subtilase-like serine protease, while the B pentamer mediates binding to host cell glycolipid receptors. The subtilase cytotoxin is lethal for mice, causing extensive microvascular thrombosis as well as necrosis in the brain, kidneys, and liver. In the present study, we have immunized mice with a purified derivative of the toxin with a Ser272 --> Ala mutation in the A subunit which abolishes cytotoxicity. This elicited strong antibody responses, as judged by enzyme-linked immunosorbent assay, which conferred protection against intraperitoneal challenge with purified toxin. Immunized mice were also protected from weight loss resulting from oral challenge with an E. coli K-12 clone expressing the active toxin.
True Series Resonance Oscillator using Active Shunt Capacitance Cancellation (2020)

A true series resonance oscillator has been developed for use with a wide-range of 1-port resonance-based sensors and devices. The oscillator effectively removes the shunt capacitance C <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">o</sub> , allowing the true series resonance to be monitored, providing the optimum sensitivity across a wide range of frequencies (i.e. kilohertz to gigahertz), shunt capacitances, and quality factors (Q) for the first time. It is well-known that non-zero shunt capacitance alters the impedance by shifting the location of the impedance minimum and the zero-phase crossing while causing significant impedance distortion. We have developed an active shunt capacitance cancelling oscillator (ASSCO) that removes any shunt capacitance across the resonator by supplying the circuit an equal “dummy” capacitance using a cancelling current. The oscillator does not require automatic gain control (AGC) and the resonator can be grounded to reduce parasitic contributions.
H<inf>2</inf>O: A hybrid and hierarchical outlier detection method for large scale data protection (2016)

Data protection is the process of backing up data in case of a data loss event. It is one of the most critical routine activities for every organization. Detecting abnormal backup jobs is important to prevent data protection failures and ensure the service quality. Given the large scale backup endpoints and the variety of backup jobs, from a backup-as-a-service provider viewpoint, we need a scalable and flexible outlier detection method that can model a huge number of objects and well capture their diverse patterns. In this paper, we introduce H <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sub> O, a novel hybrid and hierarchical method to detect outliers from millions of backup jobs for large scale data protection. Our method automatically selects an ensemble of outlier detection models for each multivariate time series composed by the backup metrics collected for each backup endpoint by learning their exhibited characteristics. Interactions among multiple variables are considered to better detect true outliers and reduce false positives. In particular, a new seasonal-trend decomposition based outlier detection method is developed, considering the interactions among variables in the form of common trends, which is robust to the presence of outliers in the training data. The model selection process is hierarchical, following a global to local fashion. The final outlier is determined through an ensemble learning by multiple models. Built on top of Apache Spark, H2O has been deployed to detect outliers in a large and complex data protection environment with more than 600,000 backup endpoints and 3 million daily backup jobs. To the best of our knowledge, this is the first work that selects and constructs large scale outlier detection models for multivariate time series on Big Data platforms.
Automatic verification of estimate functions with polynomials of bounded functions (2010)

The correctness of some arithmetic functions can be expressed in terms of the magnitude of errors. A reciprocal estimate function that returns an approximation of 1/x is such a function that is implemented in microprocessors. This paper describes an algorithm to prove that the error of an arithmetic function is less than its requirement. It divides the input domain into tiny segments, and for each segment we evaluate a requirement formula. The evaluation is carried out by converting an arithmetic function to what we call a polynomial of bounded functions, and then its upper bound is calculated and checked if it meets the requirement. The algorithm is implemented as a set of rewriting rules and computed-hints of the ACL2 theorem prover. It has been used to verify reciprocal estimate and reciprocal square root estimate instructions of one of the IBM POWERTM processors.
Free‐breathing cardiac MR with a fixed navigator efficiency using adaptive gating window size (2012)

A respiratory navigator with a fixed acceptance gating window is commonly used to reduce respiratory motion artifacts in cardiac MR. This approach prolongs the scan time and occasionally yields an incomplete dataset due to respiratory drifts. To address this issue, we propose an adaptive gating window approach in which the size and position of the gating window are changed adaptively during the acquisition based on the individual's breathing pattern. The adaptive gating window tracks the breathing pattern of the subject throughout the scan and adapts the size and position of the gating window such that the gating efficiency is always fixed at a constant value. To investigate the image quality and acquisition time, free breathing cardiac MRI, including both targeted coronary MRI and late gadolinium enhancement imaging, was performed in 67 subjects using the proposed navigator technique. Targeted coronary MRI was acquired from eleven healthy adult subjects using both the conventional and proposed adaptive gating window techniques. Fifty-six patients referred for cardiac MRI were also imaged using late gadolinium enhancement with the proposed adaptive gating window technique. Subjective and objective image assessments were used to evaluate the proposed method. The results demonstrate that the proposed technique allows free-breathing cardiac MRI in a relatively fixed time without compromising imaging quality due to respiratory motion artifacts.
Modeling and optimization of a combined cooling, heating and power plant system (2012)

In this paper, we develop a modeling and optimization procedure for minimizing the operating costs of a combined cooling, heating, and power (CCHP) plant at the University of California, Irvine, which uses co-generation and Thermal Energy Storage (TES) capabilities. Co-generation allows the production of thermal energy along with electricity, by recovering heat from the generators in a power plant. TES provides the ability to `reshape' the cooling demands during the course of a day, in refrigeration and air-conditioning plants. Therefore, both cogeneration and TES provide a potential to improve the efficiency and economy of energy conversion. The proposed modeling and optimization approach aims to design a supervisory control strategy to effectively utilize this potential, and involves analysis over multiple physical domains which the CCHP system spans, such as thermal, mechanical, chemical and electrical. Advantages of the proposed methodology are demonstrated using simulation case studies.
Current density mapping approach for design of clinical magnetic resonance imaging magnets (2002)

Abstract Novel current density mapping (CDM) schemes are developed for the design of new actively shielded, clinical magnetic resonance imaging (MRI) magnets. This is an extended inverse method in which the entire potential solution space for the superconductors has been considered, rather than single current density layers. The solution provides an insight into the required superconducting coil pattern for a desired magnet configuration. This information is then used as an initial set of parameters for the magnet structure, and a previously developed hybrid numerical optimization technique is used to obtain the final geometry of the magnet. The CDM scheme is applied to the design of compact symmetric, asymmetric, and open architecture 1.0–1.5 T MRI magnet systems of novel geometry and utility. A new symmetric 1.0‐T system that is just 1 m in length with a full 50‐cm diameter of the active, or sensitive, volume (DSV) is detailed, as well as an asymmetric system in which a 50‐cm DSV begins just 14 cm from the end of the coil structure. Finally a 1.0‐T open magnet system with a full 50‐cm DSV is presented. These new designs provide clinically useful homogeneous regions and have appropriately restricted stray fields but, in some of the designs, the DSV is much closer to the end of the magnet system than in conventional designs. These new designs have the potential to reduce patient claustrophobia and improve physician access to patients undergoing scans. © 2002 Wiley Periodicals, Inc. Concepts in Magnetic Resonance (Magn Reson Engineering) 15: 208–215, 2002