gebhart/patrepeval huggingface dataset:
ChemInform Abstract: Aminodifluorosulfinium Tetrafluoroborate Salts as Stable and Crystalline Deoxofluorinating Reagents. (2010)

Abstract ChemInform is a weekly Abstracting Service, delivering concise information at a glance that was extracted from about 100 leading journals. To access a ChemInform Abstract of an article which was published elsewhere, please select a “Full Text” option. The original article is trackable via the “References” option.
ChemInform Abstract: BETA‐LACTAM‐ANTIBIOTICA AUS STREPTOMYCES (1971)

Abstract Die Isolierung und Strukturaufklärung der drei neuen β‐Lactam‐Antibiotica vom Cephalosporin C‐Typ (Ia) (aus Streptomyces lipmanii NRRL 3584) sowie (Ib) und (Ic) (aus Streptomyces clavuligerus NRRL 3585) werden beschrieben.
Dynamic Graph Convolutional Networks Using the Tensor M-Product (2021)

Many irregular domains such as social networks, financial transactions, neuron connections, and natural language constructs are represented using graph structures. In recent years, a variety of graph neural networks (GNNs) have been successfully applied for representation learning and prediction on such graphs. In many of the real-world applications, the underlying graph changes over time, however, most of the existing GNNs are inadequate for handling such dynamic graphs. In this paper we propose a novel technique for learning embeddings of dynamic graphs using a tensor algebra framework. Our method extends the popular graph convolutional network (GCN) for learning representations of dynamic graphs using the recently proposed tensor M-product technique. Theoretical results presented establish a connection between the proposed tensor approach and spectral convolution of tensors. The proposed method TM-GCN is consistent with the Message Passing Neural Network (MPNN) framework, accounting for both spatial and temporal message passing. Numerical experiments on real-world datasets demonstrate the performance of the proposed method for edge classification and link prediction tasks on dynamic graphs. We also consider an application related to the COVID-19 pandemic, and show how our method can be used for early detection of infected individuals from contact tracing data.
Peptide–nanoparticle conjugates: a next generation of diagnostic and therapeutic platforms? (2018)

Peptide-nanoparticle conjugates (PNCs) have recently emerged as a versatile tool for biomedical applications. Synergism between the two promising classes of materials allows enhanced control over their biological behaviors, overcoming intrinsic limitations of the individual materials. Over the past decades, a myriad of PNCs has been developed for various applications, such as drug delivery, inhibition of pathogenic biomolecular interactions, molecular imaging, and liquid biopsy. This paper provides a comprehensive overview of existing technologies that have been recently developed in the broad field of PNCs, offering a guideline especially for investigators who are new to this field.
Novel birch pollen specific immunotherapy formulation based on contiguous overlapping peptides (2013)

ClinicalTrials.gov NCT01719133.
Unsupervised document clustering using multi-resolution latent semantic density analysis (2010)

To find meaningful groupings in a given document collection, it is essential to learn the right granularity for the domain, uncover core themes and attendant outliers, and derive suitable labels with which to characterize each of the resulting clusters. The outcome is therefore affected both by the choice of representation and by the behavior of the clustering algorithm. This paper advocates a strategy which combines density-based clustering with latent semantic feature extraction. Documents are first mapped into a latent semantic vector space, and then clustered in that space on the basis of a multi-resolution density measure. Empirical evidence gathered on several document collections suggests that this procedure is effective in identifying semantically sound document clusters.
Anti–α-Fodrin Antibodies in Sjögren Syndrome and Lupus Erythematosus (1999)

Although anti-alpha-fodrin antibody was detected in patients with SS and in those with LE, it seemed to be more valuable for the diagnosis of SS than was anti-SS-A (Ro) because anti-alpha-fodrin was much less prevalent in patients with LE alone. It may be possible to consider this novel autoantibody as pathophysiologically associated with some extraglandular manifestations characteristically seen in patients with SS.
Hardware-Assisted View-Dependent Planar Map Simplification (2001)

ABSTRACT In this paper, we present an algorithm and a system to perform dy-namic view dependent simplification of large geographical maps
Content-Based Methods for Predicting Web-Site Demographic Attributes (2010)

Demographic information plays an important role in gaining valuable insights about a web-site's user-base and is used extensively to target online advertisements and promotions. This paper investigates machine-learning approaches for predicting the demographic attributes of web-sites using information derived from their content and their hyper linked structure and not relying on any information directly or indirectly obtained from the web-site's users. Such methods are important because users are becoming increasingly more concerned about sharing their personal and behavioral information on the Internet. Regression-based approaches are developed and studied for predicting demographic attributes that utilize different content-derived features, different ways of building the prediction models, and different ways of aggregating web-page level predictions that take into account the web's hyper linked structure. In addition, a matrix-approximation based approach is developed for coupling the predictions of individual regression models into a model designed to predict the probability mass function of the attribute. Extensive experiments show that these methods are able to achieve an RMSE of 8-10% and provide insights on how to best train and apply such models.
<title>Holographic 3D disks using shift multiplexing</title> (1995)

Holographic techniques and materials have matured sufficiently to allow high capacity in practical systems. We demonstrate a holographic memory with storage density of 10 bits/micrometers <SUP>2</SUP>. Novel techniques, such as shift multiplexing, can be used to attain even higher capacity with simpler implementation.
Surround audio apparatus (1994)

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 Kaneaki Fujishita, Kazuhiro Sato; Surround audio apparatus. J. Acoust. Soc. Am. 1 June 1994; 95 (6): 3685. https://doi.org/10.1121/1.409917 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
Electroacoustic transducer with springs forming electrical interconnections as a result of assembly (1979)

First Page
Star-Peptide Polymers are Multi-Drug-Resistant Gram-Positive Bacteria Killers (2022)

Antibiotic resistance in bacteria, especially Gram-positive bacteria like <i>Staphylococcus aureus</i>, is gaining considerable momentum worldwide and unless checked will pose a global health crisis. With few new antibiotics coming on the market, there is a need for novel antimicrobial materials that target and kill multi-drug-resistant (MDR) Gram-positive pathogens like methicillin-resistant <i>Staphylococcus aureus</i> (MRSA). In this study, using a novel mixed-bacteria antimicrobial assay, we show that the star-peptide polymers preferentially target and kill Gram-positive pathogens including MRSA. A major effect on the activity of the star-peptide polymer was structure, with an eight-armed structure inducing the greatest bactericidal activity. The different star-peptide polymer structures were found to induce different mechanisms of bacterial death both <i>in vitro</i> and <i>in vivo</i>. These results highlight the potential utility of peptide/polymers to fabricate materials for therapeutic development against MDR Gram-positive bacterial infections.
Characterization of proteinase–adhesin complexes of Porphyromonas gingivalis (2006)

Proteinase-adhesin complexes of Porphyromonas gingivalis wild-type and RgpA and Kgp mutants were extracted using a Triton X-114 procedure and purified using arginine-affinity chromatography. The complexes were then characterized by peptide mass fingerprinting (PMF) and their equilibrium binding constants, immunogenicity and ability to induce protection as vaccines in the murine lesion model determined. The Triton X-114 procedure resulted in consistently higher yield and specific activity of the wild-type (wt) complex compared with that produced by the previously published sonication method. PMF and N-terminal sequencing of the purified wt complex showed that it consisted of the previously identified Arg-specific proteinase RgpA(cat), the Lys-specific proteinase Kgp(cat) and adhesin domains RgpA A1, RgpA A2, RgpA A3, Kgp A1 and Kgp A2. However, analysis of the 30 kDa band in the wt complex, previously suggested to be RgpA A4, indicated that this band contained C-terminally truncated Kgp A1 (which has an identical N-terminus to RgpA A4) as well as the HagA A1* adhesin. Analysis of the Triton X-114 extracted complexes from the P. gingivalis isogenic mutants kgp (RgpA complex) and rgpA (Kgp complex) suggested that the Kgp complex consisted of Kgp(cat), Kgp A1 and Kgp A2/HagA A2 and that the RgpA complex consisted of RgpA(cat), RgpA A1, HagA A1*, RgpA A2 and RgpA A3. Each of the complexes was found to have equilibrium binding constants (K(D)) in the nanomolar range for fibrinogen, fibronectin, haemoglobin, collagen type V and laminin. However, the Triton-wt complex exhibited significantly lower K(D) values for binding to each host protein compared with the sonication-wt complex, or the Triton-RgpA complex and Triton-Kgp complex. Furthermore, the Triton-wt complex induced a stronger antibody response to the A1 adhesins and tended to be more effective in providing protection in the mouse lesion model compared with the sonication-wt complex.
From Gamergate to FIFA: Identifying Polarized Groups in Online Social Media (2018)

Polarizing topics and events are often widely discussed and debated in social media, allowing researchers a unique view into the minds of large populations on everything from politics to entertainment. Previous work in identifying polarization in social media has largely used traditional community detection methods that are often confounded by the existence of neutral users and content. To address this problem, we propose a novel approach based on nonnegative matrix factorization (NMF) on a tripartite network to illuminate latent polarization patterns. The proposed methods are designed to work in contexts varying in the nature of the controversy, the level of polarization, the number of polarity groups involved and the presence of neutral entities. We use real-world Tumblr datasets to show that our algorithm exhibits superior performance in identifying polarization in online communities with respect to a range of real-world topics. To the best of our knowledge, our work is the first attempt to analyze polarization on the Tumblr platform.
On the use of the ideal filter concept for improving SAR image quality (1995)

The conventional matched filter forms the basis for SAR image generation. Although the impulse response function obtained by the matched filter approach has the best achievable signal-to-noise ratio, high sidelobes, paired echoes and azimuth ambiguities will appear in the impulse response function (IRF) for severe phase and amplitude errors. This paper considers two types of error: 1) SAR transceiver chain errors and instabilities which influence the range IRF and 2) azimuth signal aliasing which leads to azimuth ambiguities. In order to suppress these errors and to improve the SAR image quality, an ideal filter concept is used which provides, in addition to the matched filtering, the deconvolution of the phase and amplitude errors. Several simulation results are presented concerning the improvement of the range and azimuth IRFs. In the case of range compression, the sidelobes can efficiently be suppressed if the replica of the transmitted signal is known with sufficient accuracy. For azimuth processing, the Doppler parameters' accuracy and the azimuth fading limits the efficiency of ambiguity suppression. The results of the image quality analysis show that the sidelobes of the IRF obtained by matched filtering are attenuated by more than 10 dB when using the ideal filter concept.
VisiQ: Supporting visual and interactive query refinement (2007)

It has been well documented that Web searchers have difficulties crafting queries to fulfill their information needs. The VisiQ system uses a concept knowledge base produced using the ACM Computing Classification System to generate a query space that represents the query terms in relation to the concepts they describe and the terms that are related to these concepts. A visual representation of this query space allows the users to interpret the relationships between their query terms and the query space. Interactive query refinement within this visual representation takes advantage of users' visual information processing abilities, allowing them to choose terms that accurately represent their information needs. A preview of the search results from Google provides the users with an indication of the current state of their query refinement process. VisiQ allows the users to take an active role in the information retrieval process, supporting the fundamental shift from information retrieval systems to information retrieval support systems.
Chemical and Mechanistic Approaches to the Study of Protein Tyrosine Phosphatases (2003)

Protein tyrosine phosphatases (PTPs) are signaling enzymes that control a diverse array of cellular processes. Site-directed mutagenesis, combined with detailed kinetic and mechanistic studies of Yersinia PTP, have contributed greatly to the understanding of the chemical mechanism for PTP catalysis, the nature of the enzymatic transition state, and the means by which the transition state is stabilized. Significant progress has been made in developing specific small-molecule inhibitors as tools to dissect the functional roles of PTP both in normal physiology and pathological conditions. Despite the conserved structural and catalytic properties, recent results show that there are sufficient differences in the PTPs so that potent and selective bidentate inhibitors that simultaneously bind both the active site and a unique adjacent site can be obtained.
Wavelength-scanning digital interference holography for optical section imaging (1999)

We propose and experimentally demonstrate a simple digital holographic method that allows reconstruction of three-dimensional object images with a narrow depth of focus or axial resolution. A number of holograms are optically generated by use of different wavelengths spaced at regular intervals. The holograms are recorded on a digital camera and reconstructed numerically. Multiwavelength interference of the holograms results in images of the contour plane whose thickness can be made arbitrarily narrow. Objects at different distances from the hologram plane are imaged clearly and independently, with complete suppression of the out-of-focus images. The technique is available only in digital holography and should have useful applications in holographic microscopy.
<title>Alaysis of image features of histograms of edge gradient for false positive reduction in lung nodule detection in chest radiographs</title> (1998)

A computer-aided diagnosis (CAD) scheme could improve radiologists' diagnostic performance in their detection of lung nodules on chest radiographs if the computer output were used as a `second opinion'. The current CAD scheme that we have developed achieved a performance of 70% sensitivity and 1.7 false positives per image for our database. This database consisted of two hundred PA chest radiographs, including 100 normals and 100 abnormals (containing 122 confirmed nodules). Our purpose in this study was to improve our scheme further by incorporating new features derived from analysis of the histogram of radial edge gradients on nodule candidates.
Steady-State Performance of Voltage Source Inverter/Synchronous Machine Drive Systems (1984)

The steady-state performance, including harmonic losses and torques, of synchronous machines excited with voltage source inverters is investigated. A frequency-domain solution is presented that uses the Fourier series of the inverter's line-to- neutral voltage and the d-q equivalent circuit for the synchronous machine. The method for calculating the Fourier series of the inverter line-to-neutral voltage only requires the dc link voltage and the switch times for the inverter switching elements. It is shown that a single-frequency harmonic stator voltage causes a harmonic stator current of two frequencies due to the nonsymmetry of a salient pole or nonsalient pole synchronous machine. The analysis has been embodied in a library of Fortran computer programs. Program output includes the Fourier series of inverter output voltage, inverter link current, feedback diode current, Fourier series of stator current, peak stator current, average and peak electromagnetic torque, and I2R losses in the machine windings. Also available are plots of the instantaneous voltages, currents, and electromagnetic torque. Experimental waveforms of a laboratory voltage source inverter/synchronous machine drive system are included for comparison purposes.
High-Throughput<i>Giardia lamblia</i>Viability Assay Using Bioluminescent ATP Content Measurements (2010)

The human pathogen Giardia lamblia is an anaerobic protozoan parasite that causes giardiasis, one of the most common diarrheal diseases worldwide. Although several drugs are available for the treatment of giardiasis, drug resistance has been reported and is likely to increase, and recurrent infections are common. The search for new drugs that can overcome the drug-resistant strains of Giardia is an unmet medical need. New drug screen methods can facilitate the drug discovery process and aid with the identification of new drug targets. Using a bioluminescent ATP content assay, we have developed a phenotypic drug screen method to identify compounds that act against the actively growing trophozoite stage of the parasite. This assay is homogeneous, robust, and suitable for high-throughput screening of large compound collections. A screen of 4,096 pharmacologically active small molecules and approved drugs revealed 43 compounds with selective anti-Giardia properties, including 32 previously reported and 11 novel anti-Giardia agents. The most potent novel compound was fumagillin, which showed 50% inhibitory concentrations of 10 nM against the WB isolate and 2 nM against the GS isolate.
Development of a polymeric micro fuel cell containing laser-micromachined flow channels (2004)

This paper presents the development of a micro fuel cell (μFC) by polymeric micromachining technique. The membrane electrode assembly (MEA) is embedded in a gold-coated polymethyl methacrylate (PMMA) substrate, on which the gas flow channels are fabricated by laser micromachining. The special Gaussian shape of the microchannel allows the continuous sputtering of a gold layer, which works as the current collector for the fuel cell. The packed fuel cell has been characterized by an electronic load system. At room temperature, the power output of the 3 cm2 micro fuel cell can reach 315 mW cm−2 when hydrogen and oxygen are supplied to the anode and cathode, respectively. When air is used for the cathode side, the power output can reach 82 mW cm−2. During testing, the hydrogen flow is set to be dead-ended. That means the utilization of hydrogen in the μFC is close to 100%.
Band-stop noise modulated bandpass sigma-delta analog-to-digital converter (2006)

In this paper, we present a method to reduce the effects of substrate noise on bandpass sigma-delta (SigmaDelta) ADCs through the use of band-stop noise modulation, where the notch of the modulation noise spectrum is centered around the input signal band. Several band-stop noise (BSN) resonator structures required for bandpass SigmaDelta ADC implementations are presented. The proposed designs have been adapted from traditional resonator designs. These include the forward Euler (FE) resonator, forward Euler non-delayed (FEND) resonator, lossless discrete integrator (LDI), and the double-delay resonator. An example utilizing a fourth-order BSN modulated bandpass SigmaDelta ADC with a 1-bit quantizer is presented. Additionally, a method to generate the required BSN sequence is proposed. Simulation results demonstrate that this architecture achieves a 7.7 dB improvement in SNR and a 19 dB improvement in SFDR over the traditional fourth-order bandpass SigmaDelta ADC
Reduction of blurring in view angle tilting MRI (2005)

Magnetic resonance imaging (MRI) in the presence of metallic objects suffers from slice-selection errors and in-plane distortions. View angle tilting (VAT) corrects for in-plane distortions by adding a gradient on the slice-select axis during readout, but can suffer from image blurring. This work demonstrates that the major source of blurring is a slice profile modulation of the data, and proposes several solutions to prevent such blurring. Multiple high-bandwidth readouts are demonstrated to reduce the blurring while improving the signal-to-noise ratio (SNR) over a single high-bandwidth readout.
MAGE-A8 overexpression in transitional cell carcinoma of the bladder: identification of two tumour-associated antigen peptides (2004)

Bladder carcinoma is the fourth most common cancer in men and the eighth most common cancer among women. Our study is aimed to characterise tumour-associated antigen peptides of transitional cell carcinoma of the bladder (TCC). A DNA micro-array-based differential display analysis of 10 000 genes was carried out, and MAGE-A8 gene expression was detected in the tumour, and not in the normal bladder. High occurrence of MAGE-A8 expression was observed in fresh tumour samples (17 out of 23) and TCC lines (four of eight). The MAGE-A8 protein sequence was screened for HLA-A2.1-binding motifs, six potential peptides were synthesised, and peptides binding to HLA-A2.1 were assured. Immunogenicity and antigenicity of the MAGE-A8 peptides were examined in the HHD system, murine class I MHC knockout mice, transgenic for HLA-A2.1. The MAGE-A8 peptide immunogenicity was examined in three modes of vaccination, delivered intranasally with cholera toxin, injected into the tail base with complete Freund's adjuvant (CFA), or presented directly as loaded onto cell surface HLA-A2.1 molecules. Two peptides, 8.1 and 8.3, induce CTL that kills the T24 TCC line in vitro, and prime human lymphocyte response of healthy donors. These results demonstrate the potential use of the MAGE-A8 peptides for specific immunotherapy of TCC.
Enhanced sensitivity of graphene ammonia gas sensors using molecular doping (2016)

We report on employing molecular doping to enhance the sensitivity of graphene sensors synthesized via chemical vapor deposition to NH3 molecules at room temperature. We experimentally show that doping an as-fabricated graphene sensor with NO2 gas improves sensitivity of its electrical resistance to adsorption of NH3 molecules by about an order of magnitude. The detection limit of our NO2-doped graphene sensor is found to be ∼200 parts per billion (ppb), compared to ∼1400 ppb before doping. Electrical characterization and Raman spectroscopy measurements on graphene field-effect transistors show that adsorption of NO2 molecules significantly increases hole concentration in graphene, which results in the observed sensitivity enhancement.