gebhart/patrepeval huggingface dataset:
Development of engineered cementitious composites with limestone powder and blast furnace slag (2009)

Nowadays limestone powder and blast furnace slag (BFS) are widely used in concrete as blended materials in cement. The replacement of Portland cement by limestone powder and BFS can lower the cost and enhance the greenness of concrete, since the production of these two materials needs less energy and causes less CO2 emission than Portland cement. Moreover, the use of limestone powder and BFS improves the properties of fresh and hardened concrete, such as workability and durability. Engineered cementitious composites (ECC) is a class of ultra ductile fiber reinforced cementitious composites, characterized by high ductility, tight crack width control and relatively low fiber content. The limestone powder and BFS are used to produce ECC in this research. The mix proportion is designed experimentally by adjusting the amount of limestone powder and BFS, accompanied by four-point bending test and uniaxial tensile test. This study results in an ECC mix proportion with the Portland cement content as low as 15% of powder by weight. This mixture, at 28 days, exhibits a high tensile strain capacity of 3.3%, a tight crack width of 57 μm and a moderate compressive strength of 38 MPa. In order to promote a wide use of ECC, it was tried to simplify the mixing of ECC with only two matrix materials, i.e. BFS cement and limestone powder, instead of three matrix materials. By replacing Portland cement and BFS in the aforementioned ECC mixture with BFS cement, the ECC with BFS cement and limestone powder exhibits a tensile strain capacity of 3.1%, a crack width of 76 μm and a compressive strength of 40 MPa after 28 days of curing.
Efficient and Privacy-Preserving Cloud-Based Medical Diagnosis Using an Ensemble Classifier With Inherent Access Control and Micro-Payment (2023)

Decision tree (DT) models are widely used in medical applications where the size of the data sets is usually small or medium. Moreover, DT ensemble models are preferred over single DT models because of their higher accuracy in spite of the need for more overhead due to using multiple trees. Several schemes have been proposed for privacy-preserving cloud-based medical diagnosis using ensemble models. However, these schemes suffer from several limitations. First, they suffer from high computation/communication overheads due to using inefficient public-key cryptosystems. Second, none of them can simultaneously protect the intellectual property of the model and preserve the privacy of the patients’ data and diagnosis results. Finally, they do not provide inherent access control for the outsourced model and micropayment, in which only the registered patients can use the model and pay for the service. In this article, we develop a lightweight and privacy-preserving cloud-based medical diagnosis scheme using ensemble models with high accuracy and acceptable overhead. Using our scheme, the model owner can control the patients who can use the model. Also, for each classification operation, patients must make a micro-payment to pay for the diagnosis service. Our analysis indicates that our scheme can protect the model’s intellectual property and diagnose diseases without leaking any sensitive information about the patients’ medical data and the diagnosis results. Our experimental results demonstrate that our scheme requires less communication/computation overhead compared to the existing schemes.
Intelligent disruption recovery for decentralized manufacturing systems (2002)

The problems of intelligent response to disruptions in a decentralized manufacturing system are considered. In the absence of intelligent coordination, the response to a disruption of one part of the system may cause a disruption in another part of the system. A model for the problem of recovering from this kind of disruption is given. A solution approach based on the idea of negotiation from the field of distributed artificial intelligence is presented. The model and solution approach are evaluated in the domain of job shop rescheduling.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>
Revealing Ultrafast Charge-Carrier Thermalization in Tin-Iodide Perovskites through Novel Pump–Push–Probe Terahertz Spectroscopy (2021)

Tin-iodide perovskites are an important group of semiconductors for photovoltaic applications, promising higher intrinsic charge-carrier mobilities and lower toxicity than their lead-based counterparts. Controllable tin vacancy formation and the ensuing hole doping provide interesting opportunities to investigate dynamic intraband transitions of charge carriers in these materials. Here, we present for the first time an experimental implementation of a novel Optical-Pump-IR-Push-THz-Probe spectroscopic technique and demonstrate its suitability to investigate the intraband relaxation dynamics of charge carriers brought into nonequilibrium by an infrared "push" pulse. We observe a push-induced decrease of terahertz conductivity for both chemically- and photodoped FA<sub>0.83</sub>Cs<sub>0.17</sub>SnI<sub>3</sub> thin films and show that these effects derive from stimulated THz emission. We use this technique to reveal that newly photogenerated charge carriers relax within the bands of FA<sub>0.83</sub>Cs<sub>0.17</sub>SnI<sub>3</sub> on a subpicosecond time scale when a large, already fully thermalized (cold) population of charge-carriers is present. Such rapid dissipation of the initial charge-carrier energy suggests that the propensity of tin halide perovskites toward unintentional self-doping resulting from tin vacancy formation makes these materials less suited to implementation in hot-carrier solar cells than their lead-based counterparts.
Most Wanted Internet Applications: A Framework for P2P Identification (2010)

For almost a decade, Peer-to-Peer (P2P) traffic have been putting pressure on network operators. Taking actions to control P2P traffic is a daunting task. In this paper, we present a comprehensive framework for the identification of P2P traffic based on information-theoretic techniques. Despite the inherent difficulty to single out such applications, our methodology is able to successfully identify P2P traffic using a set of communication patterns or profiles. We show that profiles built on the observation of traffic volume are more accurate than those using the number of flows.
Fatigue in Hemodialysis Patients With and Without Diabetes: Results From a Randomized Controlled Trial of Two Glucose-Containing Dialysates (2010)

In hemodialysis (HD), dialysate glucose concentrations differ worldwide between 0 and 200 mg/dl and can, if above the serum glucose levels, lead to diffusive glucose shifts into the patient (1). The effects of glucose (2) and insulin (3) on the autonomic nervous system, as well as during HD with different glucose concentrations, (4) have been reported. However the effect of dialysate glucose on fatigue has not been studied. This study investigated fatigue in chronic HD subjects treated with 100 mg/dl (G100) versus 200 mg/dl dialysate glucose (G200).

In this randomized, crossover, multicenter study (www.clinicaltrials.gov, NCT00618033), diabetic and nondiabetic patients were enrolled in a 1:1 fashion. Diabetes was defined as either requiring oral antidiabetic medication or insulin or having random blood glucose levels above 200 mg/dl during the preceding 12 months. The study protocol …
Compact Label-Free Biosensor Using VCSEL-Based Measurement System (2004)

We report an ultracompact label-free biosensor that uses a vertical-cavity surface-emitting laser (VCSEL)-based measurement system for the characterization of biomolecular interactions. It consists of a VCSEL, a plastic guided-mode resonant filter, and two p-i-n detectors. The system has demonstrated very high sensitivity to molecules on top of the sensor.
Carbon Dioxide-Induced Swelling of Poly(dimethylsiloxane) (1999)

A new experimental device is used to monitor in situ the swelling behavior of poly(dimethylsiloxane) melts in contact with supercritical carbon dioxide. The effects of pressure, temperature, and sample molecular weight on the kinetics and extent of swelling are examined using this experimental technique. The swelling kinetics of all polymer samples exhibit two distinct regimes: an initial region of large swelling in which the diffusion of CO2 into the polymer follow Fickian behavior and a subsequent region of small volume increase asymptotic to an equilibrium swelling value. Diffusion coefficients of CO2, obtained from the initial swelling kinetics data, are found to be relatively insensitive to pressure, increase with temperature, and decrease with polymer molecular weight with the latter exhibiting a power-law dependence with an exponent of ∼−2. The extent of swelling increases with both pressure and molecular weight but exhibits different trends with temperature depending on system pressure. For pressures below 15 MPa the extent of swelling decreases monotonically with temperature. However, for pressure above this threshold, a maximum in swelling is observed with temperature increments. The maximum with temperature is thought to be a result of large variations in the physical properties of CO2 near its critical point. The results of equilibrium swelling have been modeled using the Sanchez−Lacombe equation of state and found to be in good agreement with the thermodynamic theory.
<title>A Platform for Real-Time Content Adaptive Video Transmission Over Heterogeneous Networks</title> (2002)

In this paper, we present a real-time adaptive streaming video platform. This platform is fully compliant with the Internet Streaming Media Alliance Implementation Specification. It has been used for experiments of Real-time video streaming and transcoding via unicast and multicast over heterogeneous networks. One of the examples of streaming video over a lossy channel is given, and a simple and efficient scheme for the packet loss recovery is presented.
Polysynchronous stochastic circuits (2016)

Clock distribution networks (CDNs) are costly in high-performance ASICs. This paper proposes a new approach: splitting clock domains at a very fine level, down to the level of a handful of gates. Each domain is synchronized with an inexpensive clock signal, generated locally. This is possible by adopting the paradigm of stochastic computation, where signal values are encoded as random bit streams. The design method is illustrated with the synthesis of circuits for applications in signal and image processing.
Immunogenicity and Safety of the BNT162b2 mRNA COVID-19 Vaccine Among Actively Treated Cancer Patients (2021)

The BNT162b2 vaccine is safe and effective in actively treated patients with cancer. The relatively lower antibody titers and lower proportion of seropositive patients, especially among chemotherapy-treated patients, call for continuing the use of personal protective measures in these patients, even following vaccination.
Stereoselective Synthesis of Novel Uracil Polyoxin C Conjugates as Substrate Analogues of Chitin Synthase (2008)

Stereoselective syntheses of both the natural (C5′-S) and unnatural (C5′-R) diastereoisomers of uracil polyoxin C methyl ester have been developed. The key stereocontrolled step involves nucleophilic addition of trimethylsilyl cyanide to the appropriate chiral sulfinimine derived from 2′,3′-protected 5′-formyluridine and (S)-(−)-tert-butanesulfinamide or (R)-(+)-tert-butanesulfinamide, respectively. A variety of substrate mimics designed to function as inhibitors of chitin synthase have been synthesized by conjugation of the methyl ester of uracil polyoxin C (UPOC) with activated isoxazole carboxylic acids. Amide bond formation was accomplished via coupling of the amino functionality of UPOC methyl ester with a free isoxazole acid using HBTU or alternatively an isoxazole pentafluorophenyl ester. The substrate mimics incorporate features of the nucleoside-peptide antibiotics, the polyoxins and the nikkomycins, as well as features of the transition state structure expected during polymerization of the natural chitin synthase substrate uridine diphosphoryl-N-acetylglucosamine (UDP-GlcNAc), namely, a metal-binding site and glycosyl oxocarbenium ion mimic.
Viral Taxonomy Derived From Evolutionary Genome Relationships (2018)

Abstract We describe a new genome alignment-based model for classification of viruses based on evolutionary genetic relationships. This approach uses information theory and a physical model to determine the information shared by the genes in two genomes. Pairwise comparisons of genes from the viruses are created from alignments using NCBI BLAST, and their match scores are combined to produce a metric between genomes, which is in turn used to determine a global classification using the 5,817 viruses on RefSeq. In cases where there is no measurable alignment between any genes, the method falls back to a coarser measure of genome relationship: the mutual information of k-mer frequency. This results in a principled model which depends only on the genome sequence, which captures many interesting relationships between viral families, and which creates clusters which correlate well with both the Baltimore and ICTV classifications. The incremental computational cost of classifying a novel virus is low and therefore newly discovered viruses can be quickly identified and classified.
Stiffening of Metallic Gallium Particles by Entrapment of Organic Molecules (2017)

This work describes stiffness measurements of gallium particles that include entrapped organic molecules, using PeakForce Tapping technology, particularly PeakForce QNM (Quantitative Nanomechanical) characterization. The composite particles were formed by ultrasonic irradiation of molten gallium in decane or in aqueous solutions of three organic compounds: phenanthroline, Congo red, or crystal violet. It was found that the Ga particles formed in the aqueous solutions of the organic compounds demonstrated very similar stiffness values, regardless of the identity of the organic compound. Moreover, those stiffness values were ca. 5 times higher than the stiffness of the Ga particles formed in pure decane. We attribute the superior stiffness to the formation of hybrids in which the organic molecules were partially incorporated within the crystal lattice of the gallium particles.
Integrated optical AC voltage sensor fabricated on LiNbO3 platform (1999)

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text T. Ichikawa, M. Kagami, and H. Ito, "Integrated optical AC voltage sensor fabricated on LiNbO3 platform," in Integrated Photonics Research, OSA Technical Digest Series (Optica Publishing Group, 1999), paper RTuK2. Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
Manifold Learning for Latent Variable Inference in Dynamical Systems (2015)

We study the inference of latent intrinsic variables of dynamical systems from output signal measurements. The primary focus is the construction of an intrinsic distance between signal measurements, which is independent of the measurement device. This distance enables us to infer the latent intrinsic variables through the solution of an eigenvector problem with a Laplace operator based on a kernel. The signal geometry and its dynamics are represented with nonlinear observers. An analysis of the properties of the observers that allow for accurate recovery of the latent variables is given, and a way to test whether these properties are satisfied from the measurements is proposed. Scattering and window Fourier transform observers are compared. Applications are shown on simulated data, and on real intracranial Electroencephalography (EEG) signals of epileptic patients recorded prior to seizures.
Overview of Beyond-CMOS Devices and A Uniform Methodology for Their\n Benchmarking (2013)

Multiple logic devices are presently under study within the Nanoelectronic\nResearch Initiative (NRI) to carry the development of integrated circuits\nbeyond the CMOS roadmap. Structure and operational principles of these devices\nare described. Theories used for benchmarking these devices are overviewed, and\na general methodology is described for consistent estimates of the circuit\narea, switching time and energy. The results of the comparison of the NRI logic\ndevices using these benchmarks are presented.\n
Multiferroics by Rational Design: Implementing Ferroelectricity in Molecule‐Based Magnets (2012)

Multiferroische Materialien: Eine neue Klasse von Multiferroika, die auf organisch-anorganischen Hybridmaterialien basiert, wurde synthetisiert. Die ferromagnetischen Eigenschaften haben ihren Ursprung im Koordinationsnetzwerk, während die Ferroelektrizität aus den polaren organischen Ionen resultiert (siehe Bild, M=Magnetisierung und P=Polarisation). Detailed facts of importance to specialist readers are published as ”Supporting Information”. Such documents are peer-reviewed, but not copy-edited or typeset. They are made available as submitted by the authors. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.
Engineering a Cytochrome P450 for Demethylation of Lignin-Derived Aromatic Aldehydes (2021)

Biological funneling of lignin-derived aromatic compounds is a promising approach for valorizing its catalytic depolymerization products. Industrial processes for aromatic bioconversion will require efficient enzymes for key reactions, including demethylation of <i>O</i>-methoxy-aryl groups, an essential and often rate-limiting step. The recently characterized GcoAB cytochrome P450 system comprises a coupled monoxygenase (GcoA) and reductase (GcoB) that catalyzes oxidative demethylation of the <i>O-</i>methoxy-aryl group in guaiacol. Here, we evaluate a series of engineered GcoA variants for their ability to demethylate <i>o</i>-and <i>p</i>-vanillin, which are abundant lignin depolymerization products. Two rationally designed, single amino acid substitutions, F169S and T296S, are required to convert GcoA into an efficient catalyst toward the <i>o</i>- and <i>p</i>-isomers of vanillin, respectively. Gain-of-function in each case is explained in light of an extensive series of enzyme-ligand structures, kinetic data, and molecular dynamics simulations. Using strains of <i>Pseudomonas putida</i> KT2440 already optimized for <i>p</i>-vanillin production from ferulate, we demonstrate demethylation by the T296S variant <i>in vivo</i>. This work expands the known aromatic <i>O-</i>demethylation capacity of cytochrome P450 enzymes toward important lignin-derived aromatic monomers.
Color image segmentation using multi-scale clustering (2002)

The use of clustering in color image segmentation poses two distinct problems: (a) equal distances throughout a color space may not be perceived equally by the human visual system, and (b) the number of color clusters must be predetermined. This paper describes a color clustering method that resolves these problems. The first problem is addressed by operating in the nonlinear, geodesic chromaticity space where color shifts are nearly uniform. The second problem is remedied by utilizing a newly developed multi-scale clustering algorithm. This algorithm determines the prominent numbers of color clusters via an objective measure named lifetime. The obtained segmentation results indicate that this color segmentation approach identifies the prominent color structures or objects in a color image.
Robust nonlinear predictive control for semiautonomous ground vehicles (2014)

This paper presents a robust control framework for lane-keeping and obstacle avoidance of semiautonomous ground vehicles. It presents a systematic way of enforcing robustness during the MPC design stage. A robust nonlinear Model Predictive Controller (RNMPC) is used to help the driver avoid obstacles and track the road center line. A force-input nonlinear bicycle vehicle model is developed for the RNMPC control design. A robust invariant set is used in the RNMPC design to ensure robust satisfaction of state and input constraints in the presence of disturbances and model errors. Simulations and experiments on testing vehicles show the effectiveness of the proposed framework.
An efficient JPEG decoding and scaling method for digital TV platforms (2012)

This paper presents an efficient JPEG decoding and scaling method which reduces both of memory requirement and processing time. The proposed method overlaps decoding, horizontal scaling and vertical scaling, which results in average 92.6% reduction of memory space and average 82.8% reduction of processing time for test cases.
Computer-assisted mechanistic evaluation of organic reactions. 20. Ene and retro-ene chemistry (1992)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTComputer-assisted mechanistic evaluation of organic reactions. 20. Ene and retro-ene chemistryGenevieve D. Paderes and William L. JorgensenCite this: J. Org. Chem. 1992, 57, 6, 1904–1916Publication Date (Print):March 1, 1992Publication History Published online1 May 2002Published inissue 1 March 1992https://doi.org/10.1021/jo00032a054Request reuse permissionsArticle Views601Altmetric-Citations42LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (1 MB) Get e-Alertsclose Get e-Alerts
Magnesium-ion battery-relevant electrochemistry of MgMn2O4: crystallite size effects and the notable role of electrolyte water content (2017)

MgMn<sub>2</sub>O<sub>4</sub> nanoparticles with crystallite sizes of 11 (MMO-1) and 31 nm (MMO-2) were synthesized and their magnesium-ion battery-relevant electrochemistry was investigated. MMO-1 delivered an initial capacity of 220 mA h g<sup>-1</sup> (678 mW h g<sup>-1</sup>). Electrolyte water content had a profound effect on cycle retention.
Session 25 Device technology &#8212; Contact and interconnect technology (1985)

Start of the above-titled section of the conference proceedings.
Photoluminescence: Local Versus Long‐Range Diffusion Effects of Photoexcited States on Radiative Recombination in Organic–Inorganic Lead Halide Perovskites (Adv. Sci. 9/2015) (2015)

Radiative recombination in thin films of the archetypical, high-performing perovskites is investigated through spatially resolved photoluminescence by H. Sirringhaus, F. Deschler and co-workers in article number 1500136. Localized regions with dimensions ≈500 nm show increased emission with narrower emission lines, attributed to increased order. Excited states do not diffuse out of high emission regions, but are decoupled from nearby regions. Cover design by Bojan Galic.