gebhart/patrepeval huggingface dataset:
LambdaSa2 prophage endolysin requires Cpl-7-binding domains and amidase-5 domain for antimicrobial lysis of streptococci (2008)

Streptococcal pathogens contribute to a wide variety of human and livestock diseases. The routine use of antibiotics to battle these pathogens has produced a new class of multidrug-resistant streptococci. Thus, there is a need for new antimicrobials. Bacteriophage endolysins (peptidoglycan hydrolases) comprise one group of new antimicrobials that are reportedly refractory to resistance development. The LambdaSa2 prophage endolysin gene was recently isolated from a Group B streptococcal genome, expressed on an Escherichia coli plasmid, and shown by homology screening and biochemical analysis to harbor an amidase-5 (endopeptidase) domain, an amidase-4 (glycosidase) domain, and two Cpl-7 cell wall-binding domains. In this study, turbidity reduction and plate lysis assays indicate that this hydrolase shows strong lytic activity toward Streptococcus pyogenes, Streptococcus dysgalactiae, Streptococcus uberis, Streptococcus equi, GES, and GGS. Deletion analysis indicates that the N-terminal endopeptidase domain with both Cpl-7 domains can lyse with a higher specific activity than the full-length protein (against some strains). This dual Cpl-7 domain truncated version also shows weak lytic activity against methicillin-resistant Staphylococcus aureus (MRSA) and the coagulase negative staphylococci, Staphylococcus xylosus. The truncated constructs harboring the glycosidase domain are virtually inactive, showing only minimal activity on plate lysis assays.
Fast Traffic Classification Using Joint Distribution of Packet Size and Estimated Protocol Processing Time (2010)

A novel approach for fast traffic classification for the high speed networks is proposed, which bases on the protocol behavior statistical features. The packet size and a new parameter named “Estimated Protocol Processing Time” are collected from the real data flows. Then a set of joint probability distributions is obtained to describe the protocol behaviors and classify the traffic. Comparing the parameters of an unknown flow with the pre-obtained joint distributions, we can judge which application protocol the unknown flow belongs to. Distinct from other methods based on traditional inter-arrival time, we use the “Estimated Protocol Processing Time” to reduce the location dependence and time dependence and obtain better results than traditional traffic classification method. Since there is no need for character string searching and parallel feature for hardware implementation with pipeline-mode data processing, the proposed approach can be easily deployed in the hardware for real-time classification in the high speed networks.
Automatic configuration generation for service high availability with load balancing (2012)

SUMMARY The need for highly available services is ever increasing in various domains ranging from mission‐critical systems to transaction‐based ones such as banking. The Service Availability Forum has defined a set of services and related API specifications to address the growing need of commercial off‐the‐shelf high availability solutions. Among these services, the availability management framework (AMF) is the service responsible for managing the high availability of the application services by coordinating redundant application components deployed on the AMF cluster. To achieve this task, an AMF implementation requires a specific logical view of the organization of the application's services and components, known as an AMF configuration. Developing manually such a configuration is a complex error‐prone task that requires extensive domain knowledge. In this paper, we present an approach for the automatic generation of AMF configurations and alleviate the task of configuration designers. One important aspect of the AMF configuration is ranking the service units, when it is required by the redundancy model, for the assignment of the workload by AMF at runtime. Our approach includes a technique for generating these rankings in such a way that guarantees load balancing even after the occurrence of a failure. Copyright © 2012 John Wiley & Sons, Ltd.
Discovery of Actionable Patterns in Databases: The Action Hierarchy Approach (1997)

An approach to defining actionability as a measure of interestingness of patterns is proposed. This approach is based on the concept of an action hierarchy which is defined as a tree of actions with patterns and pattern templates (data mining queries) assigned to its nodes. A method for discovering actionable patterns is presented and various techniques for optimizing the discovery process are proposed.
Self-Passivation of Polymer-Layered Silicate Nanocomposites (2001)

Nanoscale dispersion of only a few weight percentage of layered silicate (montmorillonite) in nylon 6 and epoxy results in the formation of a uniform passivating and self-healing inorganic surface region upon exposure to oxygen plasma. The enrichment of inorganic is compositionally graded with respect to the surface and is due to the preferential oxidation of the polymer from the nanocomposite and the corresponding enhancement of the nanoscale layered silicate on the surface. The structure of the inorganic region is turbostratic, with an average distance between layered silicates of 1−4 nm. This ceramic-like silicate layer provides an overcoat to the nanocomposite and can significantly retard the penetration of oxygen plasma. Thus, layered silicate containing nanocomposites may enhance the survivability of polymeric materials in aggressive oxidative environments, such as atomic oxygen in low earth orbit (LEO). The formed inorganic region was characterized chemically and morphologically by X-ray photoelectron spectroscopy (XPS), attenuated total reflection infrared (ATR), transmission electron microscopy (TEM), and X-ray scattering.
Exopolysaccharide-producing lactic acid bacterium strains as functional starter cultures in the production of fermented milk (2003)

Functional starter cultures of lactic acid bacteria for the production of fermented foods are starter cultures that possess at least one inherent functional property that may contribute to the organoleptical, technological, nutritional or health properties of the food. A typical example is the use of exopolysaccharide-producing strains in the production of fermented milk. Lactic acid bacteria produce a wide diversity of exopolysaccharides with respect to monomer composition, primary structure, and molecular mass. The repeating unit composing heteropolysaccharides generally consists of galactose, glucose, and rhamnose, and sometimes also fucose, aminosugars, and glucuronic acid are present. So, the question raises if a correlation exists between the structure of the exopolysaccharides and their rheological properties. Also, some strains produce only high-molecular-mass exopolysaccharides, others produce only low-molecular-mass exopolysaccharides, while still others produce both types of exopolysaccharides. Furthermore, the amount of exopolysaccharides produced may differ considerably. Hence, a clear correlation between the apparent viscosity of the medium and the amount of exopolysaccharides produced is not evident when comparing different strains. Rational strain selection and an adapted process technology may contribute to an improved texture of yogurts and other fermented milk. For instance, a temperature and pH-controlled exopolysaccharide production followed by a fast acidification results in an increased exopolysaccharide yield, an enhanced viscosity, and an improved texture of the resulting fermented milk.
Identification of the <sup>1</sup> H-NMR Spectra of Complex Oligosaccharides with Artificial Neural Networks (1991)

Artificial networks can be used to identify hydrogen nuclear magnetic resonance (1H-NMR) spectra of complex oligosaccharides. Feed-forward neural networks with back-propagation of errors can distinguish between spectra of oligosaccharides that differ by only one glycosyl residue in twenty. The artificial neural networks use features of the strongly overlapping region of the spectra (hump region) as well as features of the resolved regions of the spectra (structural reporter groups) to recognize spectra and efficiently recognized 1H-NMR spectra even when the spectra were perturbed by minor variations in their chemical shifts. Identification of spectra by neural network-based pattern recognition techniques required less than 0.1 second. It is anticipated that artificial neural networks can be used to identify the structures of any complex carbohydrate that has been previously characterized and for which a 1H-NMR spectrum is available.
Textural radiomic features and time-intensity curve data analysis by dynamic contrast-enhanced MRI for early prediction of breast cancer therapy response: preliminary data (2020)

The standardised index of shape could become a clinical tool to differentiate, in the early stages of treatment, responding to non-responding patients.
The Synthesis and Transition Temperatures of Some Lateral Cyano-Substituted-1,1′:4′,1″-terphenyls (1991)

Abstract In recent years we have used palladium-catalysed cross-coupling procedures to prepare a large number of very interesting lateral mono- and di-fluoro-substituted terphenyls. Similar methodology has been applied in the synthesis of lateral cyano-substituted terphenyls to assess the extent to which the me-sophases of such systems can tolerate the larger cyano group; the synthetic routes to these compounds are discussed in detail. The compounds with the lateral cyano-substituent in the centre ring have very low melting points and the liquid crystal phases exhibited (Sc, SA and nematic) are dependent on the terminal substituents. The compounds with the cyano-substituent at the edge of the terphenyl core are still quite low melting and they have very wide SA ranges.
Cross-document entity co-reference resolution in noisy environments (2008)

Cross-document entity co-reference resolution task is part of and largely based on many Natural Language Processing (NLP) innovations that have been developed in the past several decades and are still evolving. At the core of the task is determining whether two or more pieces of information, each mentioned locally in various documents, refer to the same global entity. The complexity of the task increases when the documents represent a variety of sources including unstructured text, speech, and foreign languages. 
This dissertation presents a complete end-to-end solution to the problem of cross-document entity co-reference. The research divides the task into two major components: Name Matching and Entity Disambiguation. The two components have been designed for scalability, extensibility, and incremental processing. 
The Name Matching component consists of more than a dozen algorithms and produces equivalences between corpus names. The algorithms use a variety of information sources which fall into four categories: World Knowledge, Web Knowledge, String Similarity, and Statistical Extraction. The produced alternatives represent various name forms: misspellings, aliases, abbreviations, alternative spellings, short and long versions, nicknames, etc. 
The Entity Disambiguation component implements a 3-stage agglomerative clustering algorithm to resolve local entities to global clusters. Each of the algorithm stages uses combinations of various features to adjust discriminative levels in cluster comparisons. The features are retrieved from document metadata, information extraction, unsupervised topicality, and more. 
The system has been evaluated in several ways. The Name Matching component has been tested on a corpus consisting of more than half a million documents from various genres. The performance of the Entity Disambiguation component has been measured against human-annotated collections of English and Arabic documents mentioning ambiguous person and organization names. The truth data were produced using a cross-document annotation tool designed specifically for this research.*
*Copyright 2008 by BBN Technologies Corp. All Rights Reserved. Distribution Statement A (Approved for Public Release; Distribution Unlimited).
Engineerable compression of ultrashort pulses by use of second-harmonic generation in chirped-period-poled lithium niobate (1997)

We demonstrate the use of an aperiodic quasi-phase-matching (QPM) grating to generate second-harmonic pulses that are stretched or compressed relative to input pulses at the fundamental frequency. We frequency doubled an externally chirped erbium-doped fiber laser generating 17-ps (FWHM) pulses at 1560nm to produce near-transform-limited 110-fs (FWHM) pulses at 780nm by use of a 5-cm-long lithium niobate crystal poled with a QPM grating chirped from an 18.2- to a 19.8-microm period.
Method for preparation of pentopyranosyl nucleosides (1999)

Title compds. consisting of ribo-, arabino-, xylo-, or lyxo-pyranoses in place of the usual ribo-furanose, were prepd. and used in solid-phase synthesis to construct (b-D-ribo)-(4'->2')-H-GGGCGGGC-H(I). Thus, 1,2,3,4-tetra-O-benzoyl-a/b-D-ribo-pyranose was substituted at the 1-position with a series of protected nucleoside bases, and the sugar manipulated through a series of steps to give either the 4'-O-dimethoxytrityl-3'-O-benzoyl-2'-O-(allyloxy)(diisopropyl-amino)phosphine compds. suitable for solid-phase synthesis of oligonucleotides, or 2'-O-CO(CH2)5CO2H compds. suitable for attachment to amine-resins to form the initial base of a growing chain. A key step in this synthesis was the simultaneous protection of 3'- and 4'-O by reaction with an aldehyde, ketone, acetal, or ketal protecting group to form cyclic acetals. These intermediates were then used in the construction of I. [on SciFinder (R)]
Model of the Shear Behavior of Unbonded Fiber-Reinforced Elastomeric Isolators (2014)

In this paper, an analytical model is developed and used to predict the horizontal behavior of unbonded fiber-reinforced elastomeric isolators (FREIs). An advantageous feature of unbonded FREIs is the ability to undergo rollover due to the lack of flexural rigidity of the reinforcement and the unbonded support conditions of the isolator. The rollover causes a characteristic softening, followed by stiffening, as the initially vertical faces of the isolator come into contact with the upper and lower supports—defined as full rollover. The force-displacement relationship is modeled by dividing the isolator into three sections: a central section, which experiences pure shear, and two rollover sections, which experiences combined shear and bending. The displacements of the rollover section are used to establish the curved deformed profile and predict full rollover. The model is evaluated with experimental data from four unbonded FREI designs. A parametric study is conducted to determine the influence of the aspect ratio and bending stiffness of the composite fiber reinforcement matrix on the horizontal force-displacement relationship.
Modeling and monitoring dynamic dependency environments (2005)

Enterprise modeling using data dependencies is common in monitoring and business performance management systems. The modern enterprise is a dynamic creature, constantly adapting itself to the changing environment. This adaptation may result in changes in enterprise components and data dependencies between them. An enterprise model must be able to express this dynamism, and business performance management services must be able to react accordingly. In this paper, we briefly introduce ADI (active dependency integration technology), a language for modeling data dependencies between entities. We discuss developments related to support in modeling dynamic environments, where elements may be added or deleted. Dynamism-related developments include the support of automatic dependency instantiation from an abstract dependency. The abstract dependency expresses a general pattern in the ontology, functioning as a template for dependency instances. Another aspect of dynamism is support for changes in existing dependencies rather than only creating new dependencies; for example, adding a new entity to a dependency. Changes in topology do not imply system redeployment. ADI also supports the influence of dynamism on data items and subsequent propagation of this influence through the model.
A Reconfiguration Speed Adjustment Technique for ORGAs with a Holographic Memory (2006)

Optically reconfigurable gate arrays (ORGAs), which consist of a gate array VLSI, a holographic memory, and a laser diode array, are a type of programmable gate array. The gate array of ORGAs is optically reconfigured using diffraction patterns from a holographic memory that is addressed by a laser diode array. In previously proposed ORGAs, the optical reconfiguration speed has been designed to be constant by assuming a worst-case reconfiguration speed. However, the diffraction efficiency of a holographic memory varies depending on the pattern of reconfiguration contexts that is recorded in it. Therefore, this paper proposes a reconfiguration speed adjustment technique for ORGAs to accelerate the reconfiguration speed. In addition, the advantages are discussed from some simulation results of a holographic memory and the experimental results of a fabricated gate array VLSI.
Management of Diabetes Mellitus in Cushing’s Syndrome (2010)

Active Cushing's syndrome is associated with insulin resistance induced by the high and prolonged circulating level of glucocorticoids. In endogenous Cushing's syndrome the overall incidence of diabetes mellitus and insulin resistance is very likely to be under-reported as not all patients are actively investigated with glucose tolerance tests. Whilst it is common clinical experience that management of diabetes mellitus is necessary in patients with Cushing's syndrome there is a dearth of literature-based evidence to support which regimes are the most effective. Therefore, a pragmatic approach is necessary on an individualized patient basis, whereby patients are stratified according to the severity of their impaired glucose homeostasis. The most effective means of control of diabetes mellitus in a patient with active Cushing's syndrome is to lower the levels of circulating cortisol. This may initially be achieved by using adrenal steroidogenesis blockade with drugs including metyrapone, ketaconazole, or, on occasion, mitotane. The rapid action of metyrapone is particularly suitable in this circumstance. Despite this, diabetes-specific therapy is often necessary and metformin and PPAR-γ agonists may be of use, but in the acute setting insulin therapy is frequently needed. Definitive management directed against source driving Cushing's syndrome is often highly effective at either reducing the severity of diabetes, or allowing its complete resolution. Patients experiencing diabetes mellitus in the context of exogenously administered glucocorticoids may well require insulin therapy for the period that the high levels of steroids are being administered. Despite resolution of Cushing's syndrome after definitive treatment patients may continue to exhibit insulin resistance. This and other cardiovascular risk factors require ongoing and long-term attention.
Extraction of reliable transformation parameters for unsupervised speaker adaptation (1999)

Adaptation of speaker-independent hidden Markov models (HMM’s) to a new speaker using speaker-specific data is an effective approach to reinforce speech recognition performance for the enrolled speaker. Practically, it is desirable to flexibly perform the adaptation without any knowledge or limitation on the enrolled adaptation data (e.g. data transcription, length and content). However, the inevitable transcription errors on adaptation data may cause unreliability in model adaptation. The variable amount and content of adaptation data require the algorithm to dynamically control the degrees of sharing in transformation-based adaptation. This paper presents an unsupervised hierarchical adaptation algorithm where a tree structure of HMM’s is incorporated to control the transformation sharing. To extract reliable transformation parameters, we exploit the reliability assessment criteria using the confidence measure and description length. Experiments show that the unsupervised speaker adaptation with reliability assessment can significantly improve the recognition performance for any lengths of adaptation data.
An optimized multilevel inverter topology with asymmetrical DC sources for photovoltaic power generation interface (2015)

This paper discusses a novel multilevel inverter topology. Using only six power devices and two asymmetrical DC sources, the proposed topology is capable of synthesizing seven-level output voltage waveform. As will be seen, the proposed configuration uses the least number of power devices and DC sources as compared to the conventional topologies reported in the literature. Simulation results verifying the operation of the proposed optimized configuration are also presented. Overall topology properties, PV application with grid interface, and experimental results of the prototypes will be presented in this paper along with detailed simulation results.
Structure-activity relationships in (haloalkyl)pyridazines: a new class of systemic fungicides (1990)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTStructure-activity relationships in (haloalkyl)pyridazines: a new class of systemic fungicidesRonald E. Hackler, Wendell R. Arnold, William C. Dow, George W. Johnson, and Sylvester V. KasterCite this: J. Agric. Food Chem. 1990, 38, 2, 508–514Publication Date (Print):February 1, 1990Publication History Published online1 May 2002Published inissue 1 February 1990https://pubs.acs.org/doi/10.1021/jf00092a039https://doi.org/10.1021/jf00092a039research-articleACS PublicationsRequest reuse permissionsArticle Views299Altmetric-Citations9LEARN 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