gebhart/patrepeval huggingface dataset:
Isolation of Aspirochlorine (═Antibiotic A30641) as a True Antimicrobial Constituent of the Antibiotic, Oryzachlorin, from<i>Aspergillus oryzae</i> (1983)

Journal Article Isolation of Aspirochlorine (═Antibiotic A30641) as a True Antimicrobial Constituent of the Antibiotic, Oryzachlorin, from Aspergillus oryzae Get access Kanzo Sakata, Kanzo Sakata Department of Agricultural Chemistry, Shizuoka University, Shizuoka 422, Japan Search for other works by this author on: Oxford Academic Google Scholar Toshiaki Kuwatsuka, Toshiaki Kuwatsuka Department of Agricultural Chemistry, Shizuoka University, Shizuoka 422, Japan Search for other works by this author on: Oxford Academic Google Scholar Akira Sakurai, Akira Sakurai The Institute of Physical and Chemical Research, Wako-shi 351, Japan Search for other works by this author on: Oxford Academic Google Scholar Nobutaka Takahashi, Nobutaka Takahashi The Institute of Physical and Chemical Research, Wako-shi 351, Japan Search for other works by this author on: Oxford Academic Google Scholar Gakuzo Tamura Gakuzo Tamura Department of Agricultural Chemistry, The University of Tokyo, Bunkyo-ku, Tokyo 113, Japan Search for other works by this author on: Oxford Academic Google Scholar Agricultural and Biological Chemistry, Volume 47, Issue 11, 1 November 1983, Pages 2673–2674, https://doi.org/10.1080/00021369.1983.10866014 Published: 01 November 1983 Article history Received: 31 May 1983 Published: 01 November 1983
Transition Metal Hydrides (1978)

Carbonyl hydride clusters based on small isolated polyhedra have not been found to contain interstitial hydride, whereas hydrogen atoms have been found to occupy partially the interstitial positions in clusters based on multihole polyhedra, such as [Rhl3(CO)24H5-n]n- (n = 2,3,4) and [Ni12(CO)21H4-n]n- (n = 2,3). This behavior parallels that of simple metallic interstitial hydrides and suggests a strong competition between metal-metal and metal-hydrogen bonds into the hole. For hydrogen, this competition is particularly severe because of the limiting conditions imposed by its orbital's character, although interstitial hydrides are expected to be exceptionally stable in the presence of a high number of μ and μ3 ligands.
Using Quality Measures to Facilitate Allele Calling in High-Throughput Genotyping (1999)

Currently, the main limitation in high-throughput microsatellite genotyping is the required manual editing of allele calls. Even though programs for automated allele calling have been available for several years, they have limited capability because accurate data could only be assured by manual inspection of the electropherograms for confirmation. Here we describe the development of a parametric approach to allele call quality control that eliminates much of the time required for manual editing of the data. This approach was implemented in an editing tool, Decode-GT, that works downstream of the allele calling program, TrueAllele (TA). Decode-GT reads the output data from TA, displays the underlying electropherograms for the genotypes, and sorts the allele calls into three categories: good, bad, and ambiguous. It discards the bad calls, accepts the good calls, and suggests that the user inspect the ambiguous calls, thereby reducing dependence on manual editing. For the categorization we use the following parameters: (1) the quality value for each allele call from TrueAllele; (2) the peak height of the alleles; and (3) the size of the peak shift needed to move peaks into the nearest bin. Here we report how we optimized the parameters such that the size of the ambiguous category was minimized, and both the number of miscalled genotypes in the good category and the useable genotypes in the bad category were negligible. This approach reduces the manual editing time and results in <1% miscalls.
Poly(acrylic acid)‐<i>graft</i>‐poly(ethylene glycol) preparation and adsorption on polyelectrolyte multilayers (PEMs) for custom‐made antiadhesive surfaces (2011)

Abstract In this study, we report on a simple and versatile method for PEGylation of surfaces which is applicable practically independent of the substrate material: a poly(acrylic acid)‐ graft ‐poly(ethylene glycol) (PAA‐ g ‐PEG) copolymer was synthesized with grafting ratios g in the range of g = 20–2 [acrylic acid (AA) monomers to PEG side chains] and adsorbed either on bare stainless steel or on stainless steel precoated with different types of polyelectrolyte multilayers (PEMs) from aqueous solution. For PAA‐ g ‐PEG synthesis two principal routes were compared with respect to yield and control of g : the active ester route using different carbodiimide coupling agents and the route via poly(acrylic acid chloride) (PAA‐Cl). Measurements based on Fourier transform infrared spectroscopy in attenuated total reflection mode (FTIR‐ATR) showed that the adsorbed amount of PAA‐ g ‐PEG copolymer is in general drastically enhanced, compared to bare stainless steel as a substrate, when a suitable PEM is used as an interlayer. The amount was also found to be strongly dependent on the type of PEM and to increase with increasing thickness of the PEM interlayer. The stability of highly PEGylated PEMs and the influence of thermal crosslinking on stability were investigated by immersing the PEM‐PEG samples for 1 week into 1 M NaCl solution at pH 4.5 and 0.15 M phosphate buffered saline (PBS) at pH 7.4, respectively.
Lipid Phosphate Phosphatase-1 Regulates Lysophosphatidate-induced Fibroblast Migration by Controlling Phospholipase D2-dependent Phosphatidate Generation (2006)

Lysophosphatidate (LPA) stimulates cell migration and division through a family of G-protein-coupled receptors. Lipid phosphate phosphatase-1 (LPP1) regulates the degradation of extracellular LPA as well as the intracellular accumulation of lipid phosphates. Here we show that increasing the catalytic activity of LPP1 decreased the pertussis toxin-sensitive stimulation of fibroblast migration by LPA and an LPA-receptor agonist that could not be dephosphorylated. Conversely, knockdown of endogenous LPP1 activity increased LPA-induced migration. However, LPP1 did not affect PDGF- or endothelin-induced migration of fibroblasts in Transwell chamber and "wound healing" assays. Thus, in addition to degrading exogenous LPA, LPP1 controls signaling downstream of LPA receptors. Consistent with this conclusion, LPP1 expression decreased phospholipase D (PLD) stimulation by LPA and PDGF, and phosphatidate accumulation. This LPP1 effect was upstream of PLD activation in addition to the possible metabolism of phosphatidate to diacylglycerol. PLD(2) activation was necessary for LPA-, but not PDGF-induced migration. Increased LPP1 expression also decreased the LPA-, but not the PDGF-induced activation of important proteins involved in fibroblast migration. These included decreased LPA-induced activation of ERK and Rho, and the basal activities of Rac and Cdc42. However, ERK and Rho activation were not downstream targets of LPA-induced PLD(2) activity. We conclude that the intracellular actions of LPP1 play important functions in regulating LPA-induced fibroblast migration through PLD2. LPP1 also controls PDGF-induced phosphatidate formation. These results shed new light on the roles of LPP1 in controlling wound healing and the growth and metastasis of tumors.
Design and research of a self-activated orange magnesium boron nitride phosphor with its application in W-LEDs (2018)

In recent years, the rare-earth elements in white light-emitting phosphors have a problem of increased demand and high price. To overcome these disadvantages, defects have been considered to act as new efficient luminescent centers to replace rare-earth elements. In this work, a rare-earth free self-activated orange light emitting phosphor of single-phase magnesium boron nitride, Mg<sub>3</sub>BN<sub>3</sub>, was successfully designed and synthesized by a relatively simple solid-state reaction. Its crystal structure and electronic structure have been measured using Rietveld refinement on the basis of X-ray diffraction data and density functional theory (DFT). The results show that Mg<sub>3</sub>BN<sub>3</sub> crystallizes in a centrosymmetric hexagonal phase with plenty of N[double bond, length as m-dash]B[double bond, length as m-dash]N double bonds and has a direct bandgap. The SEM and TEM images and Raman spectra exhibit the sample's good dispersibility and great crystallinity. Under excitation at 397 nm, a broad emission band with orange light emission peaked at 617 nm can be obtained. It is speculated to result from the defect energy levels formed by vacancies, which can also lead to tunability of the emission peak at about 100 nm. The thermal quenching shows that Mg<sub>3</sub>BN<sub>3</sub> at 200 °C still has more than 40% of the initial intensity at room temperature. All these results indicate that the self-activated light emitting phosphors of Mg<sub>3</sub>BN<sub>3</sub> are a potential candidate for n-UV LED applications.
Catalyzing butane oxidation to make maleic anhydride (1994)

Understanding the mechanism of this important commercial process may provide clues to develop other paraffin oxidations. Several industrial processes have been developed for the oxidation of n-butane to maleic anhydride. These processes differ in regard to the type of reactor used, the method for recovering the maleic anhydride from the reactor effluent (water versus organic quench), and the final purification system. Although the physical forms of the catalysts are tailored for the specific reactor design, they all are based on the same catalytic composition, (VO)[sub 2]P[sub 2]O[sub 7]. In this article the authors report on the results of the laboratory studies aimed at developing an understanding of the catalytic mechanism. They use this information to explain the preparation and operating characteristics of commercial maleic anhydride catalysts.
Liposomal doxorubicin in combination with bortezomib for relapsed or refractory multiple myeloma. (2007)

Liposomal doxorubicin received FDA approval for use in combination with bortezomib in patients with multiple myeloma who have not previously received bortezomib and have received at least one prior therapy.
Electron emission from a lithium niobate crystal excited by ultra-violet laser (2009)

Lithium niobate is an attractive material for electron emission because of the crystal property of pyroelectricity which generates a temporarily electrical potential up to 100 kV when it is heated or cooled. So far, there are many reports concerning electron emission from pyroelectric crystals by heating and cooling, in which the energy and the current of electrons emitted from pyroelectric crystal are, however, difficult to control. Furthermore, the electron emission can not be stopped till the steady state of pyroelectric crystal. In this study, the electron emission from a lithium niobate crystal, excited by a ultra-violet (UV) laser light with a wavelength of 266 nm, has been investigated in order to fast control the electron emission from the pyroelectric crystal.
Infrared Intensities of Liquids XII: Accurate Optical Constants and Molar Absorption Coefficients between 6225 and 500 cm<sup>−1</sup> of Benzene at 25°C, from Spectra Recorded in Several Laboratories (1993)

This paper presents the results of a study to obtain accurate infrared absorption intensities of liquid benzene at 25°C. To achieve this we have determined the agreement between the intensities measured by different spectroscopists using the same instrument in the same laboratory and also by different spectroscopists in different laboratories using instruments made by different manufacturers. The agreement between integrated intensities over specific wavenumber ranges has been found to average about 2%. The spectra from the different laboratories have been averaged, unweighted, to give intensity spectra of benzene that are presented as the best available. The use of data from different instruments in different laboratories has reduced the influence of systematic instrumental errors, so that the agreement presented should be a better approximation to the accuracy of the intensities than would be the case from an extensive study by one person on one instrument. The intensity data presented agree with the only measurements that have been made against a primary standard, the evaluated uncertainty of which is about 6%. The results are presented in both graphic and tabular forms as spectra of the molar absorption coefficient, E m (ν˜), (also called the molar absorptivity, ε, formerly the extinction coefficient) and the real and imaginary refractive indices, n(ν˜) and k(ν˜), between 6225 and 500 cm −1 . The peak heights and the areas under the bands in the imaginary refractive index spectrum are reported, together with the peak heights and the areas under the bands in the molar absorption coefficient spectrum. Imaginary refractive index, k(ν˜), and molar absorption coefficient, E m (ν˜), values are believed accurate to an average ±2% at the peaks of stronger bands, ±3.5% at the peaks of the weaker bands below 4100 cm −1 , and ±2.5% above 4100 cm −1 . The baseline k(ν˜) values are accurate to ∼10% above 1200 cm −1 and 1% to 5% below 1200 cm −1 . The areas under bands or band groups in k(ν˜) and E m (ν˜) spectra are accurate to 2% on average, or 1.5% when measured above a baseline for calibration purposes. The real refractive index, n(ν˜), values are believed accurate to 0.2%.
Environmental Chemistry: The Immunoassay Option (1992)

Abstract Scientific awareness and public concern about the state of our environment have led to unprecedented demands on analytical laboratories. There is now much interest in strategies that will help to lower costs and improve efficiency. Immunoassay (IA) techniques, which are widely used in clinical chemistry, could play a key role in the laboratory of the future. IA screening techniques for the detection of a broad variety of pollutants, including pesticides and industrial contaminants, are reviewed. IAs are best suited to the analysis of large sets of samples. A majority of the methods are sufficiently sensitive and selective for environmental applications. Some approaches that might help improve the sensitivity of IAs so that ultra-trace analytes can be detected are considered. Analytes can usually be detected in water samples with little or no sample preparation. In many cases, an extraction step, which is sometimes followed by a simple clean-up step, suffices for solid matrices. Hydrophobic analytes, such as the polychlorinated dibenzo-p-dioxins, are the exception. Recent advances in the validation of environmental IAs, which should improve the confidence of the unfamiliar analyst, are reviewed. IA kits are available for analysts without the resources to develop their own assays. Some interesting trends that are reviewed include the use of immunosensors for the direct detection of contaminants, the use of immunoaffinity chromatography for the one-step purification of analytes, and the environmental application of electrochemical and flow injection immunoassays. IAs have the potential to boost productivity and release costly instruments for use in the quantification of positive samples.
Spectral phasor approach for fingerprinting of photo-activatable fluorescent proteins Dronpa, Kaede and KikGR (2013)

The phasor global analysis algorithm is common for fluorescence lifetime applications, but has only been recently proposed for spectral analysis. Here the phasor representation and fingerprinting is exploited in its second harmonic to determine the number and spectra of photo-activated states as well as their conversion dynamics. We follow the sequence of photo-activation of proteins over time by rapidly collecting multiple spectral images. The phasor representation of the cumulative images provides easy identification of the spectral signatures of each photo-activatable protein.
The Impact of Feature Selection on Signature-Driven Spam Detection. (2004)

Signature-driven spam detection provides an alternative to machine learning approaches and can be very effective when near-duplicates of essentially the same message are sent in high volume [20]. Unfortunately, signatures can also be brittle to small alterations of message content. In this work we propose a technique for increasing signature robustness, targeting the I-Match algorithm [6], but applicable to other single-signature detection schemes. The proposed method is shown to consistently outperform traditional I-Match in the spam filtering application. As I-Match signature quality and stability depend on vocabulary control, we compare the traditional Zipfian approaches to feature selection with techniques applied typically in text categorization, which are found to provide viable alternatives. In particular, distributional word clustering is demonstrated to be effective in increasing signature robustness.
The TOC-Based Algorithm for Solving Multiple Constraint Resources (2009)

<para xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> The theory of constraints (TOC) emphasizes the exploitation of resource constraints in order to increase the product throughput of an organization. The product-mix decision is one application of the five steps in the TOC. This paper considers an integrated heuristic model comprising the analytic hierarchy process (AHP) and the TOC in a decision model in which priority of product and resource center optimizes the product throughput in a multiple constraint resource environment. An AHP component allows the decision maker to incorporate tangible and intangible criteria into the decision-making process and use the priority rankings of the AHP to represent a measure of value in the TOC model. The TOC identifies the constraints and the product ranking of the AHP maximizes the product throughput in a multiple constraint resource environment. The methodology incorporates sensitivity analysis to provide the decision maker with additional information regarding the robustness of the model so that he or she can make a better decision. The model compares three alternatives: the standard TOC, Integer Linear Programming (ILP), and our own solution. The numerical result shows that the proposed approach is superior to TOC and to ILP analysis and provides a measure of the model's performance. </para>
Biomarkers and occupational health: progress and perspectives (1996)

Biomarkers have emerged as an exciting tool in disease prevention, particularly in the workplace. They may be used to document workers' exposure to toxins, signal the onset of health effects, or identify individuals with susceptibility to certain environmental threats. But the uncertainty is as great as the potential. Are biomarkers suitable for widespread use? How can they be deployed in diverse contexts? How can biological information about workers be handled fairly and ethically? Biomarkers and Occupational Health describes the state of biomarker development, including the implications of the Human Genome program, and presents a range of viewpoints on the future of biomarkers from the leaders in the field. This book explores the three basic types of biomarkers (markers of exposure, markers of health effects, and markers of susceptibility to disease) from a variety of perspectives. It examines what can be learned from well-known exposure sites--Hiroshima and Nagasaki, Chernobyl, and the Hanford nuclear site in the United States, for example--and a wide range of human cases and animal studies. The book also explores the costs and ramifications of developing a large-scale program to monitor potentially exposed workers (e.g., at a cleanup site). A framework is offered for the use of biomarkers based on the mandate to the environment before you change the worker. The book explores how to identify ethical issues, how to set development priorities, and how to integrate biomarkers into an occupational health and safety program. The authors present the latest technical findings about markers for chronic beryllium disease as well as markers for exposure to carcinogens, radiation, and chronium--including prospects for detecting long-past exposures. Biomarkers and Occupational Health offers an update on biomarker development and explores a wide scope of issues. This book will be important to occupational health professionals, biomedical researchers, toxicologists, epidemiologists, and labor and management officials involved in worker health issues. Moritmer L. Mendelsohn, M.D., Ph.D., is Vice-Chairman of the Radiation Effects Research Foundation (RERF) in Japan, which studies the long-term health effects of the atomic blasts in Hiroshima and Nagasaki, and he is former Associate Director of the Lawrence Livermore National Laboratory in California. John P. Peeters, Ph.D., is a geneticist who is currently directing a division of the Office of Occupational Medicine for the United States Department of Energy. Mary Janet Normandy, Ph.D., is a toxicologist who specializes in the metabolism of xenobiotics in mammalian systems. She is currently a member of the Department of Energy's Office of Occupational Medicine.
Domain-specific hierarchical subgraph extraction: A recommendation use case (2017)

Hierarchical relationships play a key role in knowledge graphs. Particularly, large and well-known knowledge graphs such as DBpedia contain significant number of facts expressed with hierarchical relationships in comparison to the other types of relationships. These hierarchical relationships are extensively harnessed by applications such as personalization, question answering, and recommendation systems. However, the presence of large number of facts with hierarchical relationships makes the applications computationally intensive. Additionally, the applications can be domain-specific and may not require all the hierarchical facts available, but only require those that are specific to the domain. In this paper, we present an approach to extract domain-specific hierarchical subgraph from large knowledge graphs by identifying the domain-specificity of the categories in the hierarchy. Given a domain, the domain-specificity of categories are determined by combining different types of evidence using a probabilistic framework. We show the effectiveness of our approach with a recommendation use case for movie and book domains. Our evaluation demonstrates that the domain-specific hierarchical subgraphs extracted by our approach can reduce the baseline subgraph by 40% to 50% without compromising the accuracy of the recommendations. Furthermore, the presented approach outperforms the recommendation results obtained with a state-of-the-art domain-specific subgraph extraction technique which uses supervised learning.
Posterior Lumbar Interbody Fusion Using Nonresorbable Poly-Ether-Ether-Ketone Versus Resorbable Poly-l-Lactide-Co-d,l-Lactide Fusion Devices (2009)

Our results strongly suggest that PLDLLA cage proffers a lower rate of fusion compared with PEEK cage, and also confirms that the efficacy of PLDLLA cage in enhancing interbody spinal fusion is yet to be established. The higher rate of subsidence and occurrence of osteolysis seen in association with PLDLLA cages in this study remain worrisome.
Therapeutic Effect of Gypenoside on Chronic Liver Injury and Fibrosis Induced by <font>CCl</font><sub>4</sub> in Rats (2000)

Gypenoside is a saponins extract derived from the Gynostemma pentaphyllum. The purpose of this study was to evaluate the hepatoprotective and antifibrotic potential of Gypenoside on chronic liver injury induced by CCl4 for 8 wks. The results indicated that the increase of SGOT, SGPT activities in CCl4 liver injury were significantly reduced by treatment with Gypenoside. It also elevated the A/G ratio. For the study of anti-fibrotic potential, Gypenoside reduced the collagen content by 33%. These phenomena were confirmed by pathologic observation; thinner bands of liver collagen were found. The results suggest that Gypenoside has hepatoprotective and anti-fibrotic activities.