gebhart/patrepeval huggingface dataset:
Purification and characterization of a soybean flour-induced cytochrome P-450 from Streptomyces griseus (1989)

A soybean flour-induced, soluble cytochrome P-450 (P-450soy) was purified 130-fold to homogeneity from Streptomyces griseus. Native cytochrome P-450soy is a single polypeptide, with a molecular weight of 47,500, in association with one ferriprotoporphyrin IX prosthetic group. Oxidized P-450soy exhibited visible absorption maxima at 394, 514, and 646 nm, characteristic of a high-spin cytochrome P-450. The CO-reduced difference spectrum of P-450soy had a Soret maximum at 448 nm. When reconstituted with spinach ferredoxin and spinach ferredoxin:NADP+ oxidoreductase, purified cytochrome P-450soy catalyzed the NADPH-dependent oxidation of the xenobiotic substrates precocene II and 7-ethoxycoumarin. In vitro proteolysis of cytochrome P-450soy generated a stable and catalytically active cytochrome P-450, designated P-450soy delta.
A Plasmodium Parasite with Complete Late Liver Stage Arrest Protects against Preerythrocytic and Erythrocytic Stage Infection in Mice (2018)

Genetically attenuated malaria parasites (GAP) that arrest during liver stage development are powerful immunogens and afford complete and durable protection against sporozoite infection. Late liver stage-arresting GAP provide superior protection against sporozoite challenge in mice compared to early live stage-arresting attenuated parasites. However, very few late liver stage-arresting GAP have been generated to date. Therefore, identification of additional loci that are critical for late liver stage development and can be used to generate novel late liver stage-arresting GAPs is of importance. We further explored genetic attenuation in <i>Plasmodium yoelii</i> by combining two gene deletions, <i>PlasMei2</i> and <i>liver-specific protein 2</i> (<i>LISP2</i>), that each cause late liver stage arrest with various degrees of infrequent breakthrough to blood stage infection. The dual gene deletion resulted in a synthetic lethal phenotype that caused complete attenuation in a highly susceptible mouse strain. <i>P. yoelii</i><i>plasmei2</i><sup>-</sup><i>lisp2</i><sup>-</sup> arrested late in liver stage development and did not persist in livers beyond 3 days after infection. Immunization with this GAP elicited robust protective antibody responses in outbred and inbred mice against sporozoites, liver stages, and blood stages as well as eliciting protective liver-resident T cells. The immunization afforded protection against both sporozoite challenge and blood stage challenge. These findings provide evidence that completely attenuated late liver stage-arresting GAP are achievable via the synthetic lethal approach and might enable a path forward for the creation of a completely attenuated late liver stage-arresting <i>P. falciparum</i> GAP.
A Novel Vehicle Formulation for Treatment of Inflammatory Skin Diseases (2013)

Objective: To test the efficacy of a new topical vehicle formulation containing cetirizine in emu oil in treating inflammatory skin conditions. Methods: A single blind half body comparative study of patients with psoriasis, atopic and stasis dermatitis were all treated with midpotency topical steroid (desoximethasone) in propylene glycol base, desoximethasone and cetirizine in propylene glycol base, desoximethasone in emu oil base and desoximethasone with cetirizine dissolved in emu oil. Results: Based on patients’ ranking of creams’ efficacy, and supported by photographic data and investigators’ clinical assessment, results clearly indicated that desoximethasone and cetirizine in emu base was statistically more efficacious than either desoximethasone alone or with cetirizine in neutral propylene glycol base or desoximethasone in emu oil base (without cetirizine). Conclusions: Cetirizine and emu oil, having inherent anti-inflammatory and other beneficial properties synergistically, and by different biochemical pathways, enhance and magnify each other’s pharmaceutical effects that are useful in treatment of skin inflammatory diseases.
A Fiber Optic System for Damage Assessment of FRP Composite Structures (1984)

ABSTRACT There are a limited number of nondestructive techniques available for field inspection of large composite structures and practically none for inservice inspection. An innovative damage assessment system is proposed which uses an optical fiber mesh implanted into the body of a fiber reinforced composite structure. This mesh would become an integral part of the structure on fabrication. The selection of the mesh fibers would be predicated on their strain to failure characteristics and strain compatibility with the base composite reinforcing fibers. This optical system will be capable of locating damage, assessing severity and monitoring damage growth. A successful implementation of the total damage assessment system would involve the interaction of the optical fiber mesh with an adequately designed interrogative electronic package. This paper focuses on the former aspect of the total system. It will address some recent experimental work showing the practicality of the concept for large, complex composite structure.
Semantics-based legal citation network (2007)

We describe and discuss the use of semantics-based citation networks in a new legal research tool. Such networks are generated based on citation relations between cases found in legal corpora as well as legal issues being discussed with these citations. Unlike traditional tools, the System allows legal professionals to efficiently study legal issues without having to go through whole cases or tedious manual citation search. This shift of focus from cases to individual issues within cases would greatly reduce time required for attorneys and legal scholars who have specific research problems in mind.
Brönsted acidic ionic liquid-catalyzed conversion of hemicellulose into sugars (2014)

Brönsted acidic ionic liquids were synthesized, characterized and used in the conversion of assorted hemicelluloses to yield C5 sugars in 87% yield.
High-performance GFP-based calcium indicators for imaging activity in neuronal populations and microcompartments (2018)

Abstract Calcium imaging with genetically encoded calcium indicators (GECIs) is routinely used to measure neural activity in intact nervous systems. GECIs are frequently used in one of two different modes: to track activity in large populations of neuronal cell bodies, or to follow dynamics in subcellular compartments such as axons, dendrites and individual synaptic compartments. Despite major advances, calcium imaging is still limited by the biophysical properties of existing GECIs, including affinity, signal-to-noise ratio, rise and decay kinetics, and dynamic range. Using structure-guided mutagenesis and neuron-based screening, we optimized the green fluorescent protein-based GECI GCaMP6 for different modes of in vivo imaging. The jGCaMP7 sensors provide improved detection of individual spikes (jGCaMP7s,f), imaging in neurites and neuropil (jGCaMP7b), and tracking large populations of neurons using 2-photon (jGCaMP7s,f) or wide-field (jGCaMP7c) imaging.
Coherent Kerr frequency comb generation in microresonators with χ<sup>(2)</sup>and χ<sup>(3)</sup>nonlinearities (2016)

Optical frequency comb generation due to interplay between second-order and third-order nonlinearities is demonstrated in a silicon nitride microring resonator which shows normal group velocity dispersion for the fundamental wave. Mode-locked bright and dark pulses are generated at the through and drop ports respectively.
The long non-coding RNA HOXB-AS3 regulates ribosomal RNA transcription in NPM1-mutated acute myeloid leukemia (2019)

Long non-coding RNAs (lncRNAs) are important regulatory molecules that are implicated in cellular physiology and pathology. In this work, we dissect the functional role of the HOXB-AS3 lncRNA in patients with NPM1-mutated (NPM1mut) acute myeloid leukemia (AML). We show that HOXB-AS3 regulates the proliferative capacity of NPM1mut AML blasts in vitro and in vivo. HOXB-AS3 is shown to interact with the ErbB3-binding protein 1 (EBP1) and guide EBP1 to the ribosomal DNA locus. Via this mechanism, HOXB-AS3 regulates ribosomal RNA transcription and de novo protein synthesis. We propose that in the context of NPM1 mutations, HOXB-AS3 overexpression acts as a compensatory mechanism, which allows adequate protein production in leukemic blasts.
New esterification method for resin acids (1982)

Abstract The reaction of tetraalkylammonium salts of resin acids using dehydroabietic acid as the model with various alkyl polychlorides was studied as a method for preparing new ester derivatives of rosins. Of the alkyl halides investigated, methylene chloride, 1,1‐dichloroethane, 1,2‐dichloroethane, trichloroethylene and 1,2,3‐trichloropropane reacted with tetrabutylammonium dehydroabietate at moderate temperatures in short reaction times. A number of new esters were identified by NMR, IR and CI‐MS. Although many of the primary products were the anticipated monoesters and diesters, some dehydrochlorinated esters were also obtained. The reaction with trichloroethylene resulted in appreciable amounts of dehydroabietic acid anhydride.
Temporal imaging with a time lens: erratum (1990)

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 Brian H. Kolner and Moshe Nazarathy, "Temporal imaging with a time lens: erratum," Opt. Lett. 15, 655-655 (1990) Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
<title>Clinical image-intensifier-based volume CT imager for angiography</title> (1991)

A digital angiographic system has been modified into a prototype of an image intensifier-based volume CT imager for angiography. The modified system has been tested by a vascular phantom. The system consists of two x-ray tubes and two image intensifiers that are separately mounted on a gantry. The two tube-detector sets can be rotated over 360 degree(s) in the gantry. To explore the imaging performance of the system for reconstructing a three-dimensional (3D) vascular structure a set of nonsubtraction projections of a vascular phantom, acquired over 36 projection angles, were digitized. These data were reconstructed using an iterative algorithm specially designed for 3D vascular structures. The quality of the reconstructed vascular images indicates that the system can offer adequate signal-to-noise ratio (SNR) for direct 3D vascular reconstruction when only a few projections are used without subtraction procedure, assuming intra-arterial injection of contrast. Also, a pincushion distortion correction algorithm has been developed and the results suggest that the algorithm works well for the image intensifier-based volume CT imager.
Hardware-Friendly Two-Stage Spatial Equalization for All-Digital mmWave Massive MU-MIMO (2020)

Next generation wireless communication systems are expected to combine millimeter-wave communication with massive multi-user multiple-input multiple-output technology. All-digital base-station implementations for such systems need to process high-dimensional data at extremely high rates, which results in excessively high power consumption. In this paper, we propose two-stage spatial equalizers that first reduce the problem dimension by means of a hardware-friendly, low-resolution linear transform followed by spatial equalization on a lower-dimensional signal. We consider adaptive and non-adaptive dimensionality reduction strategies and demonstrate that the proposed two-stage spatial equalizers are able to approach the performance of conventional linear spatial equalizers that directly operate on high-dimensional data, while offering the potential to reduce the power consumption of spatial equalization.
Numerical phase retrieval from beam intensity measurements in three planes (2003)

A system and method have been developed at CEA to retrieve phase information from multiple intensity measurements along a laser beam. The device has been patented. Commonly used devices for beam measurement provide phase and intensity information separately or with a rather poor resolution whereas the MIROMA method provides both at the same time, allowing direct use of the results in numerical models. Usual phase retrieval algorithms use two intensity measurements, typically the image plane and the focal plane (Gerschberg-Saxton algorithm) related by a Fourier transform, or the image plane and a lightly defocus plane (D.L. Misell). The principal drawback of such iterative algorithms is their inability to provide unambiguous convergence in all situations. The algorithms can stagnate on bad solutions and the error between measured and calculated intensities remains unacceptable. If three planes rather than two are used, the data redundancy created confers to the method good convergence capability and noise immunity. It provides an excellent agreement between intensity determined from the retrieved phase data set in the image plane and intensity measurements in any diffraction plane. The method employed for MIROMA is inspired from GS algorithm, replacing Fourier transforms by a beam-propagating kernel with gradient search accelerating techniques and special care for phase branch cuts. A fast one dimensional algorithm provides an initial guess for the iterative algorithm. Applications of the algorithm on synthetic data find out the best reconstruction planes that have to be chosen. Robustness and sensibility are evaluated. Results on collimated and distorted laser beams are presented.
[Identification of T cell epitopes from ovarian cancer associated anti-idiotype antibody]. (2008)

VL CDR3 and VH CDR3 peptides of 6B11 are the CTL and Th epitopes mimicking original antigen which could duplicate the activity of intact 6B11 to induce the cellular immune responses against ovarian cancer. The results have significant theoretical and practical value in application of anti-idiotypic antibody as anti tumor vaccine. The acquired CTL and Th epitopes as constituents of future multiple peptides against ovarian cancer could be used in peptide vaccine based ovarian cancer therapy.
A monolithic HEMT regulated self-biased LNA (2002)

This work benchmarks the first demonstration of a monolithic HEMT LNA design which incorporates active regulated self-bias. The HEMT LNA bias current can be maintained to within /spl plusmn/3% variation over a process threshold variation (Vgs) of /spl plusmn/0.5 Volt. The bias circuitry regulates the bias current to within 1.5% over a 100/spl deg/C temperature range. The amplifier has a nominal gain of 10 dB and a noise figure of 2.5 dB over a 1-10 GHz bandwidth. Across several wafers with a threshold voltage spread of 0.5 Volts, the active bias-regulated LNA maintains repeatable gain and noise figure which varies by less than 1 dB and 0.75 dB respectively. This monolithic regulated self-biased LNA demonstration sheds new light on the producibility and reliability of HEMT MMICs and their applications.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Hydrologic Downscaling of Soil Moisture Using Global Data Sets without Site-Specific Calibration (2018)

Numerous applications require fine-resolution (10–30 m) soil moisture patterns, but most satellite remote sensing and land-surface models provide coarse-resolution (9–60 km) soil moisture estimates. The Equilibrium Moisture from Topography, Vegetation, and Soil (EMT+VS) model downscales soil moisture using fine-resolution topography, vegetation, and soil data, but it requires specification of 16 parameters. In previous applications, the parameters have been calibrated using detailed in situ soil moisture data, but very few regions have such data. This study aimed to evaluate EMT+VS model performance when the parameters are estimated from global data sets instead of site-specific calibration. Methods were developed to estimate key parameters from the data sets, and the global model (without site-specific calibration) was applied to six study sites. The global model results were compared with the results of locally calibrated models and to in situ soil moisture observations. The use of global data sets decreases EMT+VS downscaling performance and reduces the spatial variability in the fine-resolution soil moisture patterns. Overall, however, the global model provides more reliable soil moisture estimates than simply using the coarse-resolution moisture.
A compact asymmetric chaotic optical cavity with long optical path lengths (2008)

We demonstrate an asymmetric multipass cavity with meter-scale optical path lengths in a volume of 68cm3 and diameter of 5.24cm. The cavity is machined from copper and coated with gold. For the characterization of the optical path length in the cavity, we perform a pulse-delay experiment by measuring the time delay between a laser pulse coupled into and out of the cavity. A midinfrared quantum cascade laser is employed as the source. By rotating the cavity, a variety of reentrant patterns and path lengths ranging from 2.0to6.0m can be obtained with straightforward optical alignment.
Highly Sensitive Colorimetric Detection and Facile Isolation of Diamagnetic Free Radical Adducts of Novel Chromotropic Nitrone Spin Trapping Agents Readily Derived from Guaiazulene (1996)

ADVERTISEMENT RETURN TO ISSUEPREVCommunicationNEXTHighly Sensitive Colorimetric Detection and Facile Isolation of Diamagnetic Free Radical Adducts of Novel Chromotropic Nitrone Spin Trapping Agents Readily Derived from GuaiazuleneDavid A. BeckerView Author Information Department of Chemistry, Florida International University University Park, Miami, Florida 33199Cite this: J. Am. Chem. Soc. 1996, 118, 4, 905–906Publication Date (Web):January 31, 1996Publication History Received22 August 1995Published online31 January 1996Published inissue 1 January 1996https://pubs.acs.org/doi/10.1021/ja952895zhttps://doi.org/10.1021/ja952895zrapid-communicationACS PublicationsCopyright © 1996 American Chemical SocietyRequest reuse permissionsArticle Views668Altmetric-Citations29LEARN 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 SUBJECTS:Adducts,Free radicals,Lipids,Nitrogen compounds,Quantum mechanics Get e-Alerts
Prediction of compression-induced image interpretability degradation (2018)

Image compression is an important component in modern imaging systems as the volume of the raw data collected is increasing. To reduce the volume of data while collecting imagery useful for analysis, choosing the appropriate image compression method is desired. Lossless compression is able to preserve all the information, but it has limited reduction power. On the other hand, lossy compression, which may result in very high compression ratios, suffers from information loss. We model the compression-induced information loss in terms of the National Imagery Interpretability Rating Scale or NIIRS. NIIRS is a user-based quantification of image interpretability widely adopted by the Geographic Information System community. Specifically, we present the Compression Degradation Image Function Index (CoDIFI) framework that predicts the NIIRS degradation (i.e., a decrease of NIIRS level) for a given compression setting. The CoDIFI-NIIRS framework enables a user to broker the maximum compression setting while maintaining a specified NIIRS rating.
Hyperspectral signature analysis of skin parameters (2013)

The temporal analysis of changes in biological skin parameters, including melanosome concentration, collagen concentration and blood oxygenation, may serve as a valuable tool in diagnosing the progression of malignant skin cancers and in understanding the pathophysiology of cancerous tumors. Quantitative knowledge of these parameters can also be useful in applications such as wound assessment, and point-of-care diagnostics, amongst others. We propose an approach to estimate in vivo skin parameters using a forward computational model based on Kubelka-Munk theory and the Fresnel Equations. We use this model to map the skin parameters to their corresponding hyperspectral signature. We then use machine learning based regression to develop an inverse map from hyperspectral signatures to skin parameters. In particular, we employ support vector machine based regression to estimate the in vivo skin parameters given their corresponding hyperspectral signature. We build on our work from SPIE 2012, and validate our methodology on an in vivo dataset. This dataset consists of 241 signatures collected from in vivo hyperspectral imaging of patients of both genders and Caucasian, Asian and African American ethnicities. In addition, we also extend our methodology past the visible region and through the short-wave infrared region of the electromagnetic spectrum. We find promising results when comparing the estimated skin parameters to the ground truth, demonstrating good agreement with well-established physiological precepts. This methodology can have potential use in non-invasive skin anomaly detection and for developing minimally invasive pre-screening tools.
Synchronizing autonomous chaotic circuits using bandpass filtered signals (2002)

The same broad-band properties that make chaos interesting as a potential communications carrier also cause trouble when chaotic signals are transmitted through real communications channels. Phase and amplitude distortion of a chaotic signal can ruin the ability of a chaotic receiver to synchronize to an incoming chaotic signal. We show that it is possible to use narrow band filters with the chaotic signal to reduce its bandwidth, decreasing the effects of channel distortion, and still synchronize a chaotic receiver to the incoming chaotic signal.
Video Visual Relation Detection via Iterative Inference (2021)

The core problem of video visual relation detection (VidVRD) lies in accurately classifying the relation triplets, which comprise of the classes of subject and object entities, and the predicate classes of various relationships between them. Existing VidVRD approaches classify these three relation components in either independent or cascaded manner, thus fail to fully exploit the inter-dependency among them. In order to utilize this inter-dependency in tackling the challenges of visual relation recognition in videos, we propose a novel iterative relation inference approach for VidVRD. We derive our model from the viewpoint of joint relation classification which is light-weight yet effective, and propose a training approach to better learn the dependency knowledge from the likely correct triplet combinations. As such, the proposed inference approach is able to gradually refine each component based on its learnt dependency and the other two's predictions. Our ablation studies show that this iterative relation inference can empirically converge in a few steps and consistently boost the performance over baselines. Further, we incorporate it into a newly designed VidVRD architecture, named VidVRD-II (Iterative Inference), which generalizes well across different datasets. Experiments show that VidVRD-II achieves the start-of-the-art performance on both of ImageNet-VidVRD and VidOR benchmark datasets.