gebhart/patrepeval huggingface dataset:
Big Data Goes Small: Real-Time Spectrum-Driven Embedded Wireless Networking Through Deep Learning in the RF Loop (2019)

The explosion of 5G networks and the Internet of Things will result in an exceptionally crowded RF environment, where techniques such as spectrum sharing and dynamic spectrum access will become essential components of the wireless communication process. In this vision, wireless devices must be able to (i) learn to autonomously extract knowledge from the spectrum on-the-fly; and (ii) react in real time to the inferred spectrum knowledge by appropriately changing communication parameters, including frequency band, symbol modulation, coding rate, among others. Traditional CPU-based machine learning suffers from high latency, and requires application-specific and computationally-intensive feature extraction/selection algorithms. In this paper, we present RFLearn, the first system enabling spectrum knowledge extraction from unprocessed I/Q samples by deep learning directly in the RF loop. RFLearn provides (i) a complete hardware/software architecture where the CPU, radio transceiver and learning/actuation circuits are tightly connected for maximum performance; and (ii) a learning circuit design framework where the latency vs. hardware resource consumption trade-off can explored. We implement and evaluate the performance of RFLearn on custom software-defined radio built on a system-on-chip (SoC) ZYNQ-7000 device mounting AD9361 radio transceivers and VERT2450 antennas. We showcase the capabilities of RFLearn by applying it to solving the fundamental problems of modulation and OFDM parameter recognition. Experimental results reveal that RFLearn decreases latency and power by about 17x and 15x with respect to a software-based solution, with a comparatively low hardware resource consumption.
Potent human p140-TrkA agonists derived from an anti-receptor monoclonal antibody (1996)

Monoclonal antibody (mAb) 5C3 directed against human p140 TrkA is a structural and functional mimic of nerve growth factor (NGF) and an artificial receptor agonist. mAb 5C3 binds in the NGF-docking site and, like NGF, it promotes TrkA internalization, TrkA and phosphatidylinositol-3 kinase tyrosine phosphorylation, and increased transformation of TrkA-expressing fibroblasts. More important, mAb 5C3 protects human TrkA-expressing cells from apoptotic death in serum-free media. Interestingly, agonistic activity is observed with monomeric F(ab) 5C3 fragments. mAb 5C3 (Kd approximately 2 nM) was used to study features of ligand binding by TrkA and the distribution of TrkA protein in normal human brain.
Autonomous Driving Vehicle Control Auto-Calibration System: An Industry-Level, Data-Driven and Learning-based Vehicle Longitudinal Dynamic Calibrating Algorithm (2020)

The control module is a crucial part for autonomous driving systems, a typical control algorithm often requires vehicle dynamics (such as longitudinal dynamics) as inputs, which, unfortunately are difficult to calibrate in real time. Further, it is also a challenge to reflect instantaneous changes in longitudinal dynamics (e.g. load changes) using a calibration table. As a result, control performance may deteriorate when load changes considerably (especially for small cargoes). In this paper, we will show how we build a data-driven longitudinal calibration procedure using machine learning techniques to adapt load changes in real time. We first generated offline calibration tables from human driving data. The offline table serves as an initial guess for later uses, and it only requires twenty minutes of data collection and processing. We then used an online learning algorithm to appropriately update the initial table (the offline table) based on real-time performance analysis. Experiments indicated (a) offline auto-calibration leads to a better control accuracy, compared with manual calibration; (b) online auto-calibration is capable to handle load changes and significantly reduce real time control error. This system has been deployed to more than one hundred Baidu self-driving vehicles (both hybrid and electronic vehicles) since April 2018. By January 2019, the system had been tested for more than 2,000 hours and over 10,000 kilometers (6,213 miles) and was still proven to be effective.
General and Systematic Synthetic Entry to Carotenoid Natural Products. (2005)

Abstract For Abstract see ChemInform Abstract in Full Text.
Optimal Dynamic Cloud Network Control (2017)

Distributed cloud networking enables the deployment of a wide range of services in the form of interconnected software functions instantiated over general purpose hardware at multiple cloud locations distributed throughout the network. We consider the problem of optimal service delivery over a distributed cloud network, in which nodes are equipped with both communication and computation resources. We address the design of distributed online solutions that drive flow processing and routing decisions, along with the associated allocation of cloud and network resources. For a given set of services, each described by a chain of service functions, we characterize the cloud network capacity region and design a family of dynamic cloud network control (DCNC) algorithms that stabilize the underlying queuing system, while achieving arbitrarily close to minimum cost with a tradeoff in network delay. The proposed DCNC algorithms make local decisions based on the online minimization of linear and quadratic metrics obtained from an upper bound on the Lyapunov drift-plus-penalty of the cloud network queuing system. Minimizing a quadratic vs. a linear metric is shown to improve the cost-delay tradeoff at the expense of increased computational complexity. Our algorithms are further enhanced with a shortest transmission-plus-processing distance bias that improves delay performance without compromising throughput or overall cloud network cost. We provide throughput and cost optimality guarantees, convergence time analysis, and extensive simulations in representative cloud network scenarios.
Non-invasive assessment of arterial stiffness using oscillometric blood pressure measurement (2012)

These results suggest that our method can simply and simultaneously evaluate arterial stiffness and blood pressure based on oscillometric measurements of blood pressure.
Ca<sub>3</sub>AlSb<sub>3</sub>: an inexpensive, non-toxic thermoelectric material for waste heat recovery (2010)

Thermoelectric materials directly convert thermal energy into electrical energy, offering a promising solid-state solution for waste heat recovery. For thermoelectric devices to make a significant impact on energy and the environment the major impediments are the efficiency, availability and toxicity of current thermoelectric materials. Typically, efficient thermoelectric materials contain heavy elements such as lead and tellurium that are toxic and not earth abundant. Many materials with unusual structures containing abundant and benign elements are known, but remain unexplored for thermoelectric applications. In this paper we demonstrate, with the discovery of high thermoelectric efficiency in Ca3AlSb3, the use of elementary solid-state chemistry and physics to guide the search and optimization of such materials.
Comparison of 4D and 2D phase contrast magnetic resonance imaging of the great mediastinal vessels (2013)

DOAJ is a unique and extensive index of diverse open access journals from around the world, driven by a growing community, committed to ensuring quality content is freely available online for everyone.
Construction of Transgenic Drosophila by Using the Site-Specific Integrase From Phage  C31 (2004)

The phiC31 integrase functions efficiently in vitro and in Escherichia coli, yeast, and mammalian cells, mediating unidirectional site-specific recombination between its attB and attP recognition sites. Here we show that this site-specific integration system also functions efficiently in Drosophila melanogaster in cultured cells and in embryos. Intramolecular recombination in S2 cells on transfected plasmid DNA carrying the attB and attP recognition sites occurred at a frequency of 47%. In addition, several endogenous pseudo attP sites were identified in the fly genome that were recognized by the integrase and used as substrates for integration in S2 cells. Two lines of Drosophila were created by integrating an attP site into the genome with a P element. phiC31 integrase injected into embryos as mRNA functioned to promote integration of an attB-containing plasmid into the attP site, resulting in up to 55% of fertile adults producing transgenic offspring. A total of 100% of these progeny carried a precise integration event at the genomic attP site. These experiments demonstrate the potential for precise genetic engineering of the Drosophila genome with the phiC31 integrase system and will likely benefit research in Drosophila and other insects.
Improving Well Cementing Quality with an Environmentally Preferred Multifunctional Polymer (2012)

Abstract A modified cellulose-based polymer has been tested according to API recommended practices in various cement slurries and was identified to have multiple beneficial functions in addition to be environmentally friendly. Test results demonstrate that this single additive controls fluid loss better than commonly used fluid loss additives at temperatures up to 170 °F while also controlling free fluid and performing as an extender. In addition, it was found to work as a foam stabilizer and gas control agent in cement slurries, which was not observed for any other cellulose-based polymers tested. The modified cellulose-based polymer also exhibits less slurry viscosification, which facilitates surface mixing and pumping of the corresponding cement slurries. This paper will describe test procedures, discuss test results, and demonstrate that a single modified cellulose-based polymer can replace several additives in a cement system to adjust the required cement slurry performances for optimum placement and properties in the wellbore. These findings are accomplished by a case history showing the successful application of the modified cellulose-based polymer for a deepwater cementing operation in the South China Sea. The here presented multifunctional biopolymer simplifies cement slurry design and operations contributing to higher quality cement jobs.
Machine Learning based Adaptive Predistorter for High Power Amplifier Linearization (2019)

In this paper, we have developed a machine learning based adaptive predistorter for high power amplifier linearization approach under dynamically changing environment. In the “bent-pipe” transponder in satellite communication (SATCOM) system, the High Power Amplifiers (HPAs), which are similar to other amplifiers in the communication system, can cause nonlinear distortions to transmitted signals, deteriorating the system transmission performance. The traditional model based processing techniques such as the Extended Saleh's Model (ESM) based predistortion design can be applied to maximize transponder throughput along with HPA power efficiency but sensitive to dynamically changing environment. In this paper, the compensated HPA linearity characterized through Amplitude Modulation-to-Amplitude Modulation (AM-AM) and Amplitude Modulation-to-Phase Modulation (AM-PM) effects is used as the system reward, we leveraged reinforcement learning approach to dynamically optimize the parameter set for the ESM based PD to improve system performance in various environmental conditions. Finally, simulation results are provided to evaluate and verify Bit Error Rate (BER) improvement for the considered SATCOM system by applying our proposed PD technique.
MODIFIED-SULFUR CEMENTS FOR USE IN CONCRETES, FLEXIBLE PAVINGS, COATINGS, AND GROUTS (1981)

A family of modified-sulfur cements has been developed by the Bureau of Mines for the preparation of construction materials with improved properties. Various types of sulfur cements were prepared by reacting sulfur with mixtures of dicyclopentadiene (DCPD) and oligomers of cyclopentadiene (CPD). Durable cements were prepared with structural characteristics ranging from rigid to flexible. These cements were used to prepare corrosion-resistant materials for use in a wide variety of industrial applications where resistance to acidic and salt conditions is needed. These materials were prepared as rigid concretes, flexible pavings, spray coatings, and grouts. Production of modified-sulfur cements in a commercial-size plant was demonstrated.
Multipole P-wave logging in formations altered by drilling (1988)

Abstract Wave trains produced by conventional and multipole sonic logging tools may be expected to depend upon whether the formation has been altered by the drilling process. Such alteration may include invasion by drilling fluids and/or drilling damage. We show, by theoretical modeling, that a dipole or quadrupole tool operating at conventional logging frequencies (in the range 10-20 kHz) detects P waves from the virgin formation with a much higher signal-to-noise ratio than does a monopole tool. This permits the multipole tool to measure formation P-wave velocities two to three times farther away from the borehole than a conventional monopole tool. This larger radius of investigation typically extends beyond the altered zone for most situations, even for sources and receivers spaced several meters apart. Our conclusion is valid only if the velocity of the altered zone is less than the velocity of the virgin formation. If the velocity of the altered zone is larger than that of the virgin formation, no appreciable benefit is obtained by using a multipole tool. Similar results are demonstrated in measuring S-wave velocities.
Device for ultrasonic examination of biological structures (1984)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Jean R. Perilhou, Roger H. Coursant; Device for ultrasonic examination of biological structures. J. Acoust. Soc. Am. 1 March 1984; 75 (3): 1035. https://doi.org/10.1121/1.390615 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAcoustical Society of AmericaThe Journal of the Acoustical Society of America Search Advanced Search |Citation Search
Perfluoroalkylation of Unactivated Alkenes with Acid Anhydrides as the Perfluoroalkyl Source (2016)

Abstract An efficient perfluoroalkylation of unactivated alkenes with perfluoro acid anhydrides was developed. Copper salts play a crucial role as a catalyst to achieve allylic perfluoroalkylation with the in situ generated bis(perfluoroacyl) peroxides. Furthermore, carboperfluoroalkylation of alkene bearing an aromatic ring at an appropriate position on the carbon side chain was found to proceed under metal‐free conditions to afford carbocycles or heterocycles bearing a perfluoroalkyl group. This method, which makes use of readily available perfluoroalkyl sources, offers a convenient and powerful tool for introducing a perfluoroalkyl group onto an sp 3 carbon to construct synthetically useful skeletons.
A Tristate Rigid Reversible and Non-Back-Drivable Active Docking Mechanism for Modular Robotics (2013)

This paper proposes a new active bonding mechanism that achieves rigid, reversible, and nonback-drivable coupling between modular mobile robots in a chain formation. The first merit of this interface lies in its ability to operate in three independent modes. In the drive mode, the motor torque is routed to drive the module. In the clamp mode, the motor torque is redirected toward an active joint that enables one module to rotate relative to its neighbors in the formation. In the neutral mode, the motor's rotation achieves alignment between the interface's components prior to the initiation of the drive and clamp modes. The second merit stems from the dual-rod slider rocker (DRSR) mechanism, which toggles between the interface's three modes of operation. The design details of the interface are presented, as well as the optimal kinematic synthesis and dynamic analysis of the DRSR mechanism. Simulation and experimental results validate the DRSR's unique kinematics, as well as the rigidity and the three operation modes of the docking interface.
Composition of mappings given by embedded dependencies (2005)

Composition of mappings between schemas is essential to support schema evolution, data exchange, data integration, and other data management tasks. In many applications, mappings are given by embedded dependencies. In this paper, we study the issues involved in composing such mappings.
Understanding ultrafine nanodiamond formation using nanostructured explosives (2013)

The detonation process is able to build new materials with a bottom-up approach. Diamond, the hardest material on earth, can be synthesized in this way. This unconventional synthesis route is possible due to the presence of carbon inside the high-explosive molecules: firing high-explosive mixtures with a negative oxygen balance in a non-oxidative environment leads to the formation of nanodiamond particles. Trinitrotoluene (TNT) and hexogen (RDX) are the explosives primarily used to synthesize nanodiamonds. Here we show that the use of nanostructured explosive charges leads to the formation of smaller detonation nanodiamonds, and it also provides new understanding of nanodiamond formation-mechanisms. The discontinuity of the explosive at the nanoscale level plays the key role in modifying the diamond particle size, and therefore varying the size with microstructured charges is impossible.
Identification and Structural Analysis of an l-Asparaginase Enzyme from Guinea Pig with Putative Tumor Cell Killing Properties (2014)

The initial observation that guinea pig serum kills lymphoma cells marks the serendipitous discovery of a new class of anti-cancer agents. The serum cell killing factor was shown to be an enzyme with L-asparaginase (ASNase) activity. As a direct result of this observation, several bacterial L-asparaginases were developed and are currently approved by the Food and Drug Administration for the treatment of the subset of hematological malignancies that are dependent on the extracellular pool of the amino acid asparagine. As drugs, these enzymes act to hydrolyze asparagine to aspartate, thereby starving the cancer cells of this amino acid. Prior to the work presented here, the precise identity of this guinea pig enzyme has not been reported in the peer-reviewed literature. We discovered that the guinea pig enzyme annotated as H0W0T5_CAVPO, which we refer to as gpASNase1, has the required low Km property consistent with that possessed by the cell-killing guinea pig serum enzyme. Elucidation of the ligand-free and aspartate complex gpASNase1 crystal structures allows a direct comparison with the bacterial enzymes and serves to explain the lack of L-glutaminase activity in the guinea pig enzyme. The structures were also used to generate a homology model for the human homolog hASNase1 and to help explain its vastly different kinetic properties compared with gpASNase1, despite a 70% sequence identity. Given that the bacterial enzymes frequently present immunogenic and other toxic side effects, this work suggests that gpASNase1 could be a promising alternative to these bacterial enzymes.
Laser-driven x-ray source for diagnostic radiology (1997)

Prospects for utilization of laser produced plasma x-ray source in diagnostic radiology are discussed with special emphasis on application in non-invasive coronary artery angiography and low dose high resolution mammography.
A market for unbiased private data: Paying individuals according to their privacy attitudes (2012)

Since there is, in principle, no reason why third parties should not pay individuals for the use of their data, we introduce a realistic market that would allow these payments to be made while taking into account the privacy attitude of the participants. And since it is usually important to use unbiased samples to obtain credible statistical results, we examine the properties that such a market should have and suggest a mechanism that compensates those individuals that participate according to their risk attitudes. Equally important, we show that this mechanism also benefits buyers, as they pay less for the data than they would if they compensated all individuals with the same maximum fee that the most concerned ones expect.
Data acquisition and instrument control system for ion flight time measurements in mass spectrometry (1985)

A microcomputer system is described that provides instrument control and data acquisition for ion flight time measurements in mass spectrometry. This system is designed specifically for time-resolved ion momentum spectrometry (TRIMS), a new mass spectrometry/mass spectrometry (MS/MS) technique that utilizes time-of-flight measurements in a magnetic sector instrument. The flexibility of the design, however, makes it applicable to many types of instruments that employ ion flight time measurements. The heart of the system is a digital boxcar integrator with 10-ns timing precision. The microcomputer has control of both the magnetic field and the sampled flight time. Software, written in forth, allows all standard MS/MS scans to be obtained, even those requiring complex linked scans of the magnetic field strength and the sampled flight time. Data that demonstrate the accuracy of these scans are shown for metastable decompositions of n decane.
Dynamical evolution of sonar signal propagation (2000)

Views Icon Views Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Icon Share Twitter Facebook Reddit LinkedIn Tools Icon Tools Reprints and Permissions Cite Icon Cite Search Site Citation Richard A. Katz, Azizul H. Quazi; Dynamical evolution of sonar signal propagation. AIP Conf. Proc. 7 February 2000; 502 (1): 624–629. https://doi.org/10.1063/1.1302443 Download citation file: Ris (Zotero) Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentAIP Publishing PortfolioAIP Conference Proceedings Search Advanced Search |Citation Search
Enhanced superconducting transition temperature in electroplated rhenium (2018)

We show that electroplated Re films in multilayers with noble metals such as Cu, Au, and Pd have an enhanced superconducting critical temperature relative to previous methods of preparing Re. The dc resistance and magnetic susceptibility indicate a critical temperature of approximately 6 K. The magnetic response as a function of field at 1.8 K demonstrates type-II superconductivity, with an upper critical field on the order of 2.5 T. Critical current densities greater than 10<sup>7</sup> A/m<sup>2</sup> were measured above liquid-helium temperature. Low-loss at radio frequency was obtained below the critical temperature for multilayers deposited onto resonators made with Cu traces on commercial circuit boards. These electroplated superconducting films can be integrated into a wide range of standard components for low-temperature electronics.