gebhart/patrepeval huggingface dataset:
Communications and Signals Design for Wireless Power Transmission (2016)

Radiative wireless power transfer (WPT) is a promising technology to provide cost-effective and real-time power supplies to wireless devices. Although radiative WPT shares many similar characteristics with the extensively studied wireless information transfer or communication, they also differ significantly in terms of design objectives, transmitter/receiver architectures and hardware constraints, etc. In this article, we first give an overview on the various WPT technologies, the historical development of the radiative WPT technology and the main challenges in designing contemporary radiative WPT systems. Then, we focus on discussing the new communication and signal processing techniques that can be applied to tackle these challenges. Topics discussed include energy harvester modeling, energy beamforming for WPT, channel acquisition, power region characterization in multi-user WPT, waveform design with linear and non-linear energy receiver model, safety and health issues of WPT, massive MIMO (multiple-input multiple-output) and millimeter wave (mmWave) enabled WPT, wireless charging control, and wireless power and communication systems co-design. We also point out directions that are promising for future research.
Analysis of Time-Sequential Sampling with a Spatially Hexagonal Lattice (1983)

Hexagonal sampling of 2-D signals has been considered a useful alternative to rectangular systems. Mersereau [1] analyzed hexagonal sampling and showed that when images are circularly or elliptically bandlimited the sampling density can be 13.6% less than that required for a rectangular sampling system. Murphy and Gallagher [2] studied hexagonal sampling in the context of optical systems. Here we investigate spatially hexagonal sampling of spatiotemporal signals. Since obtaining samples at every point in space at the same time instant is impractical for many applications, we constrain the sampling to be time-sequential. We examine the performance of various sampling patterns as we sample below the temporal Nyquist rate, and we compare their performance with that of the corresponding rectangular case that was analyzed previously [3].
Distributed energy-aware mobile sensor coverage: A game theoretic approach (2016)

Mobile Sensor Networks (MSN) are used to monitor large areas and collect measurements, e.g. temperature, humidity, or pressure data. Mobile sensors try to optimize their benefit from sensing a particular area, while keeping their energy consumption at the lowest possible level. We formulate this energy-aware sensor coverage problem as a potential game, where the mobile sensor nodes are considered as agents. The utility function of the game captures the trade-off between the benefit from coverage and the energy consumption. We also propose a distributed learning strategy for this potential game. The algorithm enables a bit-valued information exchange between the agents. Finally, it is proved that the learning rule converges to a Nash Equilibrium.
Evaluation of Sintering of Nanometer-Sized Titania Using Aerosol Method (1995)

The sintering of titania agglomerates consisting of nanometer primary particles in a heated gas flow is investigated under gas temperatures from room temperature to 1673 K.The test titania agglomerates are produced by thermal decomposition or hydrolysis of TTIP (titanium tetraisopropoxide) vapor.The size changes of the agglomerates of 30-100 nm in diameter are measured using a TDMA (Tandem Differential Mobility Analyzer) system.At a temperature lower than about 1000 K, the agglomerates do not change in size with increasing heating temperature, hut a sudden decrease in size is detected at 1000 to 1500 K. From TEM observation, densification of agglomerates accompanying primary particle growth is observed.These experimental results for the rate of reduction in surface area are explained quantitatively by solving the basic equation of sintering under the calculated temperature profile.
Design of highly stabilized nanocomposite inks based on biodegradable polymer-matrix and gold nanoparticles for Inkjet Printing (2019)

Abstract Nowadays there is a worldwide growing interest in the Inkjet Printing technology owing to its potentially high levels of geometrical complexity, personalization and resolution. There is also social concern about usage, disposal and accumulation of plastic materials. In this work, it is shown that sugar-based biodegradable polyurethane polymers exhibit outstanding properties as polymer-matrix for gold nanoparticles composites. These materials could reach exceptional stabilization levels, and demonstrated potential as novel robust inks for Inkjet based Printing. Furthermore, a physical comparison among different polymers is discussed based on stability and printability experiments to search for the best ink candidate. The University of Seville logo was printed by employing those inks, and the presence of gold was confirmed by ToF-SIMS. This approach has the potential to open new routes and applications for fabrication of enhanced biomedical nanometallic-sensors using stabilized AuNP.
Executing dynamic data-graph computations deterministically using chromatic scheduling (2014)

A data-graph computation — popularized by such programming systems as Galois, Pregel, GraphLab, PowerGraph, and GraphChi — is an algorithm that performs local updates on the vertices of a graph. During each round of a data-graph computation, an update function atomically modifies the data associated with a vertex as a function of the vertex's prior data and that of adjacent vertices. A dynamic data-graph computation updates only an active subset of the vertices during a round, and those updates determine the set of active vertices for the next round.
Silent Data Corruption &#x2014; Myth or reality? (2008)

The higher complexity of the hardware and software employed by modern computing systems, as well as semiconductor technology scaling, are increasing the likelihood of Silent Data Corruption (SDC). SDC occurs when incorrect data is provided to the user, e.g., written to the memory or I/O system, and no error is triggered. Such events may have catastrophic effects, in the case of life critical applications, and represent a significant cost penalty for businesses. The purpose of this panel is to provide real examples of silent corruption, and discuss solutions for avoiding it. The presentations address SDC generated at the semiconductor device level, as well as the virtualization software level. Techniques for reducing SDC, from the circuit to system level, will be covered. Results of an extensive SDC study, carried out at Los Alamos National Laboratory (LANL) on high-performance computing (HPC) platforms are also given.
Beer Photooxidation Creates Two Compounds with Aromas Indistinguishable from 3-Methyl-2-butene-1-thiol (2009)

Beer photooxidation (lightstruck reaction) creates the well-known, intensely flavor-active compound 3-methyl-2-butene-1-thiol (MBT). The sensory threshold in beer for this malodorous compound is 2–7 ng/L. Using solid-phase microextraction and multidimensional GC-olfactometry, we discovered two previously unidentified compounds with aromas indistinguishable from the “skunky” or “foxy” aroma used to describe MBT. These additional skunky aroma compounds undoubtedly contribute to the overall lightstruck character in beer. Additionally, we discovered that MBT and one of the two other compounds slowly formed during beer thermal oxidation in the absence of light.
A combinator-based compiler for a functional language (1984)

Article Free Access Share on A combinator-based compiler for a functional language Authors: Paul Hudak Yale University, Department of Computer Science Yale University, Department of Computer ScienceView Profile , David Kranz Yale University, Department of Computer Science Yale University, Department of Computer ScienceView Profile Authors Info & Claims POPL '84: Proceedings of the 11th ACM SIGACT-SIGPLAN symposium on Principles of programming languagesJanuary 1984 Pages 122–132https://doi.org/10.1145/800017.800523Online:15 January 1984Publication History 24citation0DownloadsMetricsTotal Citations24Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF
ECG-based Heartbeat Classification in Neuromorphic Hardware (2019)

Heart activity can be monitored by means of ElectroCardioGram (ECG) measure which is widely used to detect heart diseases due to its non-invasive nature. Trained cardiologists can detect anomalies by visual inspecting recordings of the ECG signals. However, arrhythmias occur intermittently especially in early stages and therefore they can be missed in routine check recordings. We propose a hardware setup that enables the always-on monitoring of ECG signals into wearables. The system exploits a fully event-driven approach for carrying arrhythmia detection and classification employing a bio-inspired spiking neural network. The two staged Spiking Neural Network (SNN) topology comprises a recurrent network of spiking neurons whose output is classified by a cluster of Leaky integrate-and-fire (LIF) neurons that have been supervisely trained to distinguish 17 types of cardiac patterns. We introduce a method for compressing ECG signals into a stream of asynchronous digital events that are used to stimulate the recurrent SNN. Using ablative analysis, we demonstrate the impact of the recurrent SNN and we show an overall classification accuracy of 95% on the PhysioNet Arrhythmia Database provided by the Massachusetts Institute of Technology and Beth Israel Hospital (MIT/BIH). The proposed system has been implemented on an event-driven mixed-signal analog/digital neuromorphic processor. This work contributes to the realization of an energy-efficient, wearable, and accurate multi-class ECG classification system.
MOLECULAR DEFINITION OF RETROVIRUS‐INDUCED ANTIGENS RECOGNIZED BY TUMOUR‐SPECIFIC H‐2‐RESTRICTED CYTOLYTIC T LYMPHOCYTES (1986)

The antigenic specificities of H-2-restricted, tumour-specific cytolytic T lymphocytes (CTL) were studied at the molecular level using CTL from BALB.B and C57BL/6 (H-2b) mice sensitized to an H-2b Gross murine leukaemia virus (MuLV)-induced tumour. Target cells were produced by the double transfection of mouse L cells (H-2k) with the cloned H-2Kb or H-2Db gene and retroviral DNA derived from a molecular clone of Akv MuLV (closely related to Gross MuLV). Doubly transfected L cells which express either H-2Kb or H-2Db antigen and retroviral antigens are lysed in a virus-specific manner by Gross MuLV-immune CTL. The existence of two independent Gross MuLV-immune CTL subpopulations, one restricted by H-2Kb and the other by H-2Db, is thus confirmed. Gross MuLV-immune CTL from both BALB.B and C57BL/6 mice killed L cells that express Akv MuLV gag gene products and H-2Kb or H-2Db antigen. In contrast, only CTL from C57BL/6 mice killed L cells that express Akv MuLV env gene products and H-2Kb or H-2Db. This indicates that specific recognition of MuLV-induced antigens by CTL can be selective and varies according to the origin of the CTL.
Comprehensive engineering of a therapeutic neutralizing antibody targeting SARS-CoV-2 spike protein to neutralize escape variants (2022)

The emergence of escape variants of SARS-CoV-2 carrying mutations in the spike protein poses a challenge for therapeutic antibodies. Here, we show that through the comprehensive engineering of the variable region of the neutralizing monoclonal antibody 5A6, the engineered antibody, 5A6CCS1, is able to neutralize SARS-CoV-2 variants that escaped neutralization by the original 5A6 antibody. In addition to the improved affinity against variants, 5A6CCS1 was also optimized to achieve high solubility and low viscosity, enabling a high concentration formulation for subcutaneous injection. In cynomolgus monkeys, 5A6CCS1 showed a long plasma half-life and good subcutaneous bioavailability through engineering of the variable and constant region. These data demonstrate that 5A6CCS1 is a promising antibody for development against SARS-CoV-2 and highlight the importance of antibody engineering as a potential method to counteract escape variants.
Recent developments in de novo design and scaffold hopping. (2008)

This review covers the developments in the fields of de novo ligand design and scaffold hopping since 2006. De novo ligand design was introduced in 1991 as a purely structure-based method to suggest ligands for synthesis and was later augmented by ligand-based approaches. Both structure-based and ligand-based methods identify pharmacophores, as well as shape constraints, and subsequently match these with complementary features embedded into small-molecule topologies. Recently, significant attention has been paid to de novo ligand design in combination with biophysical fragment screening and X-ray structure elucidation. Scaffold hopping has evolved from a niche application of de novo design into a rapidly expanding suite of different software tools, which are used extensively in the pharmaceutical industry.
FERREDOXINS AND FLAVODOXINS OF BACTERIAl 1592 (1972)

INTRODUCTION.... . ... . ...... . ....... . ... . . ..... . .. . 139 PROPERTIES OF BACTERIAL FERREDOXINS AND FLAVODOXINS ... 140 FERREDOXIN. • . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 140 Isolation . .... . . . ..... . . . . . . . . . . . . . . . . . . . . .. 140 Distribution. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 141 Iron-sulfide prosthetic group. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 141 Apoferredoxin. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 145 FLAVODOXINS . . • . . . . . . . . • . . . . . . . . . . . . . . . . . . .... . .. 146 Distribution. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 146 Chemical properties. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. 147
Occurrence of C-Glucoside of Resveratrol Oligomers in Hopea parviflora (2011)

Investigation of the highly polar chemical constituents in the stem of Hopea parviflora (Dipterocarpaceae) resulted in the isolation of four new resveratrol derivatives, hopeasides A and B (1, 2) (resveratrol pentamers), C (3) (resveratrol trimer), and D (4) (resveratrol dimer) together with nine known resveratrol oligomers (5-13). The new structures have a common partial structure of the 1-hydroxy-1-(3,5-dihydroxy-2-C-glucopyranosylphenyl)-2-(4-hydroxyphenyl)ethane-2-yl group after oxidative condensation of (E)-resveratrol-10-C-β-glucopyranoside (14). The structures were determined by spectroscopic analysis including 2D-NMR and computer-aided molecular modeling. The biogenetic relationship of the isolates and NMR characteristics caused by steric hindrance are also discussed in this paper.
Zeolitic catalytic conversion of alochols to hydrocarbons (2023)

A method for converting an alcohol to a hydrocarbon, the method comprising contacting said alcohol with a metal-loaded zeolite catalyst at a temperature of at least 100.degree. C. and up to 550.degree. C., wherein said alcohol can be produced by a fermentation process, said metal is a positively-charged metal ion, and said metal-loaded zeolite catalyst is catalytically active for converting said alcohol to said hydrocarbon.
REDIAL-2020: A Suite of Machine Learning Models to Estimate Anti-SARS-CoV-2 Activities (2020)

Strategies for drug discovery and repositioning are an urgent need with respect to COVID-19. We developed "REDIAL-2020", a suite of machine learning models for estimating small molecule activity from molecular structure, for a range of SARS-CoV-2 related assays. Each classifier is based on three distinct types of descriptors (fingerprint, physicochemical, and pharmacophore) for parallel model development. These models were trained using high throughput screening data from the NCATS COVID19 portal (https://opendata.ncats.nih.gov/covid19/index.html), with multiple categorical machine learning algorithms. The “best models” are combined in an ensemble consensus predictor that outperforms single models where external validation is available. This suite of machine learning models is available through the DrugCentral web portal (http://drugcentral.org/Redial). Acceptable input formats are: drug name, PubChem CID, or SMILES; the output is an estimate of anti-SARS-CoV-2 activities. The web application reports estimated activity across three areas (viral entry, viral replication, and live virus infectivity) spanning six independent models, followed by a similarity search that displays the most similar molecules to the query among experimentally determined data. The ML models have 60% to 74% external predictivity, based on three separate datasets. Complementing the NCATS COVID19 portal, REDIAL-2020 can serve as a rapid online tool for identifying active molecules for COVID-19 treatment. The source code and specific models are available through Github (https://github.com/sirimullalab/redial-2020), or via Docker Hub (https://hub.docker.com/r/sirimullalab/redial-2020) for users preferring a containerized version.
Dynamics of Baculovirus Growth and Dispersal in Mamestra brassicae L. (Lepidoptera Noctuidae ) Larval Populations Introduced into Small Cabbage Plots (1983)

The nuclear polyhedrosis virus of Mamestra brassicae has been studied in larval populations of the moth introduced into small plots of cabbages. Primary dispersal of virus from single foci of infected larvae resulted from enhanced movement of the larvae, which colonized new plants logarithmically. Virus growth within the host population was quantified, and infection of young larvae in the following generation was related directly to the concentration of virus produced during the primary phase. Secondary cycling of virus resulted in dispersal of inoculum from multiple foci, and a large proportion of plants were ultimately colonized by infected larvae. The dynamics of virus growth during secondary dispersal were quantified and contrasted with results from the primary phase. The significance of these results is discussed in relation to possible control of insect pests through dispersal of virus by the host insect.
Amelioration ofD-Galactosamine-Induced Acute Liver Injury in Rats by Dietary Supplementation with Betaine Derived from Sugar Beet Molasses (2011)

The effects of betaine supplementation on D-galactosamine-induced liver injury were examined in terms of hepatic and serum enzyme activities and of the levels of glutathione and betaine-derived intermediates. The rats induced with liver injury showed marked increases in serum enzyme activity, but those receiving dietary supplementation of 1% betaine showed enzyme activity levels similar to a control group without liver injury. Administration of betaine also increased both hepatic and serum glutathione levels, even following D-galactosamine injection. The activity of glutathione-related enzymes was markedly decreased following injection of D-galactosamine, but remained comparable to that of the control group in rats receiving 1% betaine. The concentrations of hepatic S-adenosyl methionine and cysteine showed similar trends to that observed for hepatic glutathione levels. These results indicate that 1% betaine has a hepatoprotective effect by increasing hepatic and serum glutathione levels along with glutathione-related enzyme activities in rats.
Inactivation of monoamine oxidase by (aminomethyl)cubane. First evidence for an .alpha.-amino radical during enzyme catalysis (1993)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTInactivation of monoamine oxidase by (aminomethyl)cubane. First evidence for an .alpha.-amino radical during enzyme catalysisRichard B. Silverman, Jian Ping Zhou, and Philip E. EatonCite this: J. Am. Chem. Soc. 1993, 115, 19, 8841–8842Publication Date (Print):September 1, 1993Publication History Published online1 May 2002Published inissue 1 September 1993https://pubs.acs.org/doi/10.1021/ja00072a048https://doi.org/10.1021/ja00072a048research-articleACS PublicationsRequest reuse permissionsArticle Views365Altmetric-Citations35LEARN 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 InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts
Response of MEMS Devices Under Shock Loads (2005)

There is strong experimental evidence for the existence of strange modes of failure of MEMS devices under shock. Such failures have not been explained with conventional models of MEMS. These failures are characterized by overlaps between moving microstructures and stationary electrodes, which cause electrical shorts. This work presents a model and simulation of MEMS devices under the combination of shock loads and electric actuation, which will shed the light on the influence of these forces on the pull-in instability. Our results indicate that the reported strange failures can be attributed to early dynamic pull-in instability. The results show that the combination of a shock load and an electric actuation makes the instability threshold much lower than the threshold predicted considering the effect of shock alone or electric actuation alone. Several results are presented showing the response of MEMS devices due to half-sine pulse, triangle pulse, and rectangular pulse shock loads of various durations and strengths. The effects of linear viscous damping and incompressible squeeze-film damping are also investigated.
Listeria monocytogenes Serotype 4b Strains Belonging to Lineages I and III Possess Distinct Molecular Features (2006)

A collection of Listeria monocytogenes serotype 4b strains belonging to lineages I and III were examined by PCR and Southern blot analysis using species-, virulence-, and serotype-specific primers and probes. Whereas four serotype 4b lineage I strains reacted in PCR with the serotype 4b-, 4d-, and 4e-specific ORF2110 and virulence-specific lmo1134 and lmo2821 primers, all nine serotype 4b lineage III strains were negative by ORF2110 and lmo1134 primers. In addition, the nine serotype 4b lineage III strains formed two separate groups through their reactions in PCR with virulence-specific lmo2821 primers. Southern blot analysis using species-specific lmo0733 and virulence-specific lmo2821 gene probes largely confirmed the PCR results. These findings indicate that L. monocytogenes serotype 4b strains belonging to lineages I and III possess distinct molecular features.