gebhart/patrepeval huggingface dataset:
Impact of thiourethane filler surface functionalization on composite properties (2019)

Thiourethane oligomers added to methacrylate matrices improve fracture toughness and reduce polymerization stress. In this study, the oligomers are added to the surface of inorganic fillers in the formulation of resin composites. Systematically varied fillers treated either with the thiourethane or a methacrylate silane control are tested. Thiourethane reduces the rate of polymerization of light-cured composites but does not affect the final degree of conversion (DC). Filler functionalization with thiourethane increases the depth of polymerization, in filler type-dependent fashion. Thiourethane reduces the polymerization stress for all fillers. The findings suggest that this approach results in the same general effects with the addition of thiourethanes directly to the matrix. This is accomplished with a lower overall concentration of thiourethane, and with no prejudice to the handling characteristics of the material.
多重PCR检测唾液标本中的幽门螺杆菌16S rRNA及cagA基因 (2021)

OBJECTIVE: To establish a multiplex PCR-based method for detecting Helicobacter pylori (Hp) 16S rRNA gene and cagA gene in saliva samples for investigating the prevalence of Hp in the oral cavity of Hp-infected patients with digestive tract diseases. METHODS: Bioinformatics technique was used to design specific primers for Hp 16S rRNA and cagA genes for Hp detection using multiplex PCR, with recombinant cloning plasmids serving as the standard positive control. Oral saliva samples were collected from 156 patients with digestive tract diseases, and Hp 16S rRNA and cagA genes were detected using the established multiplex PCR system. RESULTS: The established multiplex PCR system showed a strong specificity and a high sensitivity for detecting Hp 16S rRNA gene and cagA gene, with the lowest detection limit of 103 copies/μL. The recombinant plasmids pGMT-16s and pGMT-cagA could be used as standard positive controls for the identification of Hp. Among the 156 saliva samples, 87.2% were positive for Hp 16S rRNA gene and 23.1% for Hp cagA gene. CONCLUSION: Hp is highly prevalent in saliva specimens of Hp-infected patients with digestive tract diseases. The presence of Hp in the oral cavity may importantly contribute to Hp infection in the digestive tract and recurrence after treatment.
QSPR and GCA Models for Predicting the Normal Boiling Points of Fluorocarbons (1995)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTQSPR and GCA Models for Predicting the Normal Boiling Points of FluorocarbonsThao D. Le and Jeffry G. WeersCite this: J. Phys. Chem. 1995, 99, 17, 6739–6747Publication Date (Print):April 1, 1995Publication History Published online1 May 2002Published inissue 1 April 1995https://pubs.acs.org/doi/10.1021/j100017a066https://doi.org/10.1021/j100017a066research-articleACS PublicationsRequest reuse permissionsArticle Views134Altmetric-Citations21LEARN 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 options Get e-Alerts
NetworkAnalyst - integrative approaches for protein–protein interaction network analysis and visual exploration (2014)

Biological network analysis is a powerful approach to gain systems-level understanding of patterns of gene expression in different cell types, disease states and other biological/experimental conditions. Three consecutive steps are required--identification of genes or proteins of interest, network construction and network analysis and visualization. To date, researchers have to learn to use a combination of several tools to accomplish this task. In addition, interactive visualization of large networks has been primarily restricted to locally installed programs. To address these challenges, we have developed NetworkAnalyst, taking advantage of state-of-the-art web technologies, to enable high performance network analysis with rich user experience. NetworkAnalyst integrates all three steps and presents the results via a powerful online network visualization framework. Users can upload gene or protein lists, single or multiple gene expression datasets to perform comprehensive gene annotation and differential expression analysis. Significant genes are mapped to our manually curated protein-protein interaction database to construct relevant networks. The results are presented through standard web browsers for network analysis and interactive exploration. NetworkAnalyst supports common functions for network topology and module analyses. Users can easily search, zoom and highlight nodes or modules, as well as perform functional enrichment analysis on these selections. The networks can be customized with different layouts, colors or node sizes, and exported as PNG, PDF or GraphML files. Comprehensive FAQs, tutorials and context-based tips and instructions are provided. NetworkAnalyst currently supports protein-protein interaction network analysis for human and mouse and is freely available at http://www.networkanalyst.ca.
Investigation of diversity techniques considering receiver structure in MIMO systems (2005)

This paper examines receiving antenna selection (RAS) and receiving antenna combination (RAC) techniques from the viewpoint of receiver structure with the aim of improving bit error rate (BER) performance for receivers in MIMO (multi-input multi-output) systems. We assume two receiver structures. One is a structure for controlling gain in received signals centrally for all receiving antennas (CC receiver). The other is a structure for controlling gain in received signals individually in each receiving antenna (CI receiver). We show that a CC receiver can obtain good BER performance when utilizing RAS/RAC techniques using the channel matrix eigenvalue (RAS/RAC-E). Additionally, we consider RAS/RAC techniques using the phase of the channel component (RAS/RAC-PC) and received power (RAS/RAC-RP) in a CI receiver. We then simulate BER performance when employing the proposed RAS-PC and RAS-RP techniques under Rayleigh fading channels. The results clearly show that the RAS/RAC-PC techniques are able to obtain good BER performance for a CI receiver.
Mechanistic Insights into the Formation of InP Quantum Dots (2009)

InP Kudos: The molecular mechanism of InP colloidal quantum dot (QD) syntheses was investigated by NMR spectroscopy. Unlike methods for monodisperse PbSe and CdSe, existing InP syntheses result in total depletion of molecular phosphorous species following nucleation, so QD growth is due exclusively to non-molecular ripening. Amines inhibit precursor depletion by solvation (see picture), contrary to previous reports. 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.
Cloning and mapping of a cDNA for methionine synthase reductase, a flavoprotein defective in patients with homocystinuria (1998)

Methionine synthase catalyzes the remethylation of homocysteine to methionine via a reaction in which methylcobalamin serves as an intermediate methyl carrier. Over time, the cob(I)alamin cofactor of methionine synthase becomes oxidized to cob(II)alamin rendering the enzyme inactive. Regeneration of functional enzyme requires reductive methylation via a reaction in which S-adenosylmethionine is utilized as a methyl donor. Patients of the cblE complementation group of disorders of folate/cobalamin metabolism who are defective in reductive activation of methionine synthase exhibit megaloblastic anemia, developmental delay, hyperhomocysteinemia, and hypomethioninemia. Using consensus sequences to predicted binding sites for FMN, FAD, and NADPH, we have cloned a cDNA corresponding to the "methionine synthase reductase" reducing system required for maintenance of the methionine synthase in a functional state. The gene MTRR has been localized to chromosome 5p15.2-15.3. A predominant mRNA of 3.6 kb is detected by Northern blot analysis. The deduced protein is a novel member of the FNR family of electron transferases, containing 698 amino acids with a predicted molecular mass of 77,700. It shares 38% identity with human cytochrome P450 reductase and 43% with the C. elegans putative methionine synthase reductase. The authenticity of the cDNA sequence was confirmed by identification of mutations in cblE patients, including a 4-bp frameshift in two affected siblings and a 3-bp deletion in a third patient. The cloning of the cDNA will permit the diagnostic characterization of cblE patients and investigation of the potential role of polymorphisms of this enzyme as a risk factor in hyperhomocysteinemia-linked vascular disease.
A note on search based forecasting of ad volume in contextual advertising (2008)

In contextual advertising, estimating the number of impressions of an ad is critical in planning and budgeting advertising campaigns. However, producing this forecast, even within large margins of error, is quite challenging. We attack this problem by simulating the presence of a given ad with its associated bid over historical data, involving billions of impressions. This apparently enormous computational task is reduced to a search task involving only the set of distinct pages in the data. Furthermore the search is made more efficient using a two-level search process. Experimental results show that our approach can accurately forecast the expected number of impressions of contextual ads in real time.
Surface layer‐preserving photodynamic therapy (SPPDT) in a subcutaneous mouse model of lung cancer (2012)

SPPDT was able to damage tumor beneath the superficial normal tissue layer, which included tracheal cartilage in the mouse model. The thickness control of SPPDT was provided by controlling laser pulse intensity. SPPDT is a new technology, whose future potential is unknown. The initial clinical application of this technology could be endoscopic treatment (e.g., palliative therapy of thoracic malignancies via bronchoscopy).
Power particles (2015)

This paper introduces a new particle-based approach to incompressible fluid simulation. We depart from previous Lagrangian methods by considering fluid particles no longer purely as material points, but also as volumetric parcels that partition the fluid domain. The fluid motion is described as a time series of well-shaped power diagrams (hence the name power particles ), offering evenly spaced particles and accurate pressure computations. As a result, we circumvent the typical excess damping arising from kernel-based evaluations of internal forces or density without having recourse to auxiliary Eulerian grids. The versatility of our solver is demonstrated by the simulation of multiphase flows and free surfaces.
Spectroscopic Characterization of Fluorinated Benzylphosphonic Acid Monolayers on AlOx/Al Surfaces (2016)

We recently reported on how the surface energy and work function of AlOx/Al substrates can be tuned by self-assembled monolayers of fluorinated and nonfluorinated benzylphosphonic acid derivatives in view of organic electronic applications. In this contribution, we present a thorough investigation of these monolayers by photoemission (XPS) and infrared (PM-IRRAS) spectroscopies, to provide a quantitative understanding of their structural properties (packing density and orientation) and chemical composition. A detailed analysis of XPS chemical shifts makes an assignment of the carbon species present in the SAMs feasible, from the low-binding-energy aromatic carbon (∼284.5 eV) to the highly electronegative fluorine-substituted carbon (∼287.5 eV), whereby an upper limit for the fraction of nonspecific hydrocarbons (<5% for 10 of 11 SAMs) is assessed. The AlOx/Al substrate provides PM-IRRAS spectra of excellent quality within the window of 3400–1050 cm–1, enabling the identification of a number of bands, primarily those associated with aromatic C–H stretching, the benzyl CH2 group, ring vibrations, and C–F and C–O–C stretching vibrations. In particular, a distinct three-band pattern due to the benzyl CH2 group has been identified, involving a Fermi resonance interaction between the symmetric stretching vibration and the first overtone of the CH2 scissoring vibration. Furthermore, the absence of the CH2 scissoring and P═O stretching bands in the PM-IRRAS spectra indicate that the PO3 moiety chemisorbs to the AlOx/Al substrate via a bidentate rather than tridentate or monodentate mode.
A Proposed Heterogeneous Convolutional Neural Network for Embedded Automotive Vision Algorithms (2018)

The computer vision industry is relying more and more on artificial intelligence to process image data generated by cameras, LIDAR and RADAR applications. In the past years, Neural Networks (NN) have been specifically successful to process image data and to perform classification tasks that now exceed human classification capabilities. Traditional CNN based algorithms require significant use of central processing unit (CPU) cycles and/or graphics processing units (GPU). The majority of these models are built to operate on laptops or server like solutions that are not limited by the amount of CPU/GPU available for processing. In the transportation industry it is necessary to operate in an environment that is limited in processing power, current consumption, and thermal output and for that reason server-based AI solutions are not always practical in a land, sea or aerial vehicles. This publication will overview automotive computer vision (CV) perception algorithms for a variety of CNN models and offer a novel solution for heterogeneous CNN, H-CNN, which is optimized for automotive grade embedded System on Chips SoC's that limit the computational, current consumption and thermal output of the system.
Employment of Resonators for Resolution Enhancement in Plasmonic Refractive Index Sensors (2022)

In this paper, a plasmonic refractive index sensor based on metal insulated metal waveguide (MIM) with three rings and a resonant cavity is first proposed and numerically evaluated. Next, we add four teeth to the sensor structure. We study and simulate the resonant wavelengths and refractive index of resonators using the time difference finite difference method. Given that the sensor and the conduction characteristics of plasmonic waves are influenced by the structure parameters,Therefore, by changing the refractive index and changing the dimensions and coordinates of the cavity and rims, we can change the passage coefficient in the resonant modes and measure the sensor performance. As a result, we obtain the sensitivity coefficient, the figure of merit (FOM) and the quality factor Q of the sensor. We modulate the resonance wavelength FWHM using the generated modes and reach a sensitivity of 2166 nm / RIU. These plasmonic sensors with a simple framework and balanced performance and high optical resolution can be used to measure the refractive index in the medical, chemical and food industries.
Exploring the Geophysical Signatures of Microbial Processes: AGU Chapman Conference on Biogeophysics; Portland, Maine, 13–16 October 2008 (2009)

Geophysical methods have the potential to detect and characterize microbial growth and activity in subsurface environments over different spatial and temporal scales. Recognition of this potential has resulted in the development of a new subdiscipline in geophysics called “biogeophysics,” a rapidly evolving Earth science discipline that integrates environmental microbiology, geomicrobiology, biogeochemistry, and geophysics to investigate interactions that occur between the biosphere (microorganisms and their products) and the geosphere. Biogeophysics research performed over the past decade has confirmed the potential for geophysical techniques to detect microbes, microbial growth/biofilm formation, and microbe‐mineral interactions. The unique characteristics of geophysical data sets (e.g., noninvasive data acquisition, spatially continuous properties retrieved) present opportunities to explore geomicrobial processes outside of the laboratory, at unique spatial scales unachievable with microbiological techniques, and possibly in remote environments such as the deep ocean. In response to this opportunity, AGU hosted a Chapman Conference with a mission to bring together geophysicists, biophysicists, geochemists, geomicrobiologists, and environmental microbiologists conducting multidisciplinary research with potential impact on biogeophysics in order to define the current state of the science, identify the critical questions facing the community, and generate a road map for establishing biogeophysics as a critical subdiscipline of Earth science research.
Effect of rheology on mass transfer and bubble sizes in a bubble column operated in the heterogeneous regime (2020)

Abstract A recently developed measurement method has been applied for the first time to the characterization of a bubble column operated in the heterogeneous regime and in presence of non‐Newtonian fluids. The resulting measurements of bubble size are completed with local gas holdup and global mass transfer characterizations. A strong impact of rheology on both bubble size and mass transfer is observed, at any tested superficial gas velocity. A dissociation of the liquid side mass transfer k L and the specific interfacial area (a) is proposed. Results show that the k L model previously validated in stirred tanks filled with complex fluids is satisfyingly extended to bubble columns. The incoming databank will be of great help to develop and validate multiphase hydrodynamic models, especially in the scope of biotechnology and associated systems of complex rheology.
High-frequency isolated DC/DC converter for input voltage conditioning of a linear power amplifier (2004)

Conventional linear power amplifiers show a high output voltage quality but are characterized by high power losses and/or low power density. Therefore, there is a growing interest in increasing the efficiency of linear power amplifiers, e.g. for the realization of high power testing voltage sources. In this paper a high-frequency isolated DC/DC converter system for the conditioning of the input voltage of a linear power amplifier. The output voltage of the DC/DC converter is varied according to the output voltage to be formed by the linear power amplifier so that the voltage drop occurring across the power amplifier output transistors is reduced to low values which results in a significant increase of the total system efficiency. The control design of the DC/DC converter is for fast output voltage response according to the high large signal bandwidth of the linear power amplifier. The three-level input stage of the proposed system does allow a direct connection to the output of a three-phase three-level PWM rectifier ensuring low effects on the supplying mains. The operating principle of the proposed system is described and the design of the output voltage control is treated in detail. The resulting dynamic behavior of the system is analyzed by digital simulation. Finally, the theoretical considerations are verified by measurements on a 1.5 kW laboratory prototype.
Oxytocin Receptors in Bovine Mammary Tissue (1987)

Oxytocin receptors were identified and characterized in bovine mammary tissue. [3H]-oxytocin was specifically bound to the 105,000 X g particulate fractions from 5 lactating cows and 5 non-lactating cows. Binding reached equilibrium by 50 min at 20 degrees C and by 8 hr at 4 degrees C. The half-time of displacement at 20 degrees C was approximately 1 hr. ACTH, TRH, angiotensin I, angiotensin II, pentagastrin, bradykinin, xenopsin and L-valyl-histidyl-L-leucyl-L-threonyl- L-prolyl-L-valyl-L-glutamyl-L-lysine were not competitive in the dose range tested at 20 degrees C. The ability of other peptides to inhibit 3H-oxytocin binding was as follows: oxytocin greater than vasotocin greater than arginine - vasopressin greater than lysine - vasopressin greater than Pen1 Phe2 Thr4 - oxytocin. The Kd of the oxytocin receptor averaged 1.66 +/- 1.19 nMol/L for lactating cows and 0.97 +/- nMol/L for non-lactating cows, respectively. The maximum number of binding sites was 0.14 +/- 0.12 nM/mg protein and 0.15 +/- 0.08 nM/mg protein for lactating cows and non-lactating cows, respectively. Identification and characterization of these receptors now makes it possible to study the dynamics of hormonal binding throughout various physiological states of the animal.
Intensity-dependent upconversion efficiencies of Er3+ ions in heavy-metal fluoride glass (1991)

The upconversion of infrared radiation to shorter wavelengths by Er3+ ions in heavy-metal fluoride glasses, some doped with Yb3+, has been studied over a wide intensity range and for various excitation wavelengths. The upconversion efficiency measured at room temperature varies linearly or quadratically with intensity and saturates at 100 W/cm2 or higher, depending on emission wavelength. For 4 mol % ErF3 in BaF2/ThF4, the 4I11/2 to 4I15/2 transition is over 10% efficient for 400 W/cm2 of absorbed 1.5-μm power, i.e., for 4I15/2 to 4I13/2 excitation. A rate equation model and Judd–Ofelt analysis of data for the glasses doped with just Er3+ provide an understanding of the upconversion process while yielding values for Er3+ energy-transfer rates and excited-state populations. These results could be used to develop glasses for lasing and as infrared optical detectors.
Synthesis and biological activity of the peroxy-ATP analogue, adenylyl 5'-peroxydiphosphate. (1981)

An analogue of adenosine 5'-triphosphate, adenylyl 5'-peroxydiphosphate (beta, gamma-peroxy-ATP), in which a peroxide linkage replaces the terminal bridge oxygen of the triphosphate chain, has been synthesized. The chemical and biological properties of beta, gamma-peroxy-ATP in representative enzyme systems demonstrate its potential usefulness as a probe of enzymatic mechanism and structure.