gebhart/patrepeval huggingface dataset:
The Metabolism and Toxicity of Quinones, Quinonimines, Quinone Methides, and Quinone-Thioethers (2002)

Quinones are ubiquitous in nature and constitute an important class of naturally occurring compounds found in plants, fungi and bacteria. Human exposure to quinones therefore occurs via the diet, but also clinically or via airborne pollutants. For example, the quinones of polycyclic aromatic hydrocarbons are prevalent as environmental contaminants and provide a major source of current human exposure to quinones. The inevitable human exposure to quinones, and the inherent reactivity of quinones, has stimulated substantial research on the chemistry and toxicology of these compounds. From a toxicological perspective, quinones possess two principal chemical properties that confer their reactivity in biological systems. Quinones are oxidants and electrophiles, and the relative contribution of these properties to quinone toxicity is influenced by chemical structure, in particular substituent effects. Modification to the quinone nucleus also influences quinone metabolism. This review will therefore focus on the differences in structure and metabolism of quinones, and how such differences influence quinone toxicology. Specific examples will be discussed to illustrate the diverse manner by which quinones interact with biological systems to initiate and propagate a toxic response.
Evaluation of Extracellular Subviral Particles of Dengue Virus Type 2 and Japanese Encephalitis Virus Produced bySpodoptera frugiperdaCells for Use as Vaccine and Diagnostic Antigens (2010)

New or improved vaccines against dengue virus types 1 to 4 (DENV1 to DENV4) and Japanese encephalitis virus (JEV), the causative agents of dengue fever and Japanese encephalitis (JE), respectively, are urgently required. The use of noninfectious subviral extracellular particles (EPs) is an inexpensive and safe strategy for the production of protein-based flavivirus vaccines. Although coexpression of premembrane (prM) and envelope (E) proteins has been demonstrated to produce EPs in mammalian cells, low yields have hindered their commercial application. Therefore, we used an insect cell expression system with Spodoptera frugiperda-derived Sf9 cells to investigate high-level production of DENV2 and JEV EPs. Sf9 cells transfected with the prM and E genes of DENV2 or JEV secreted corresponding viral antigens in a particulate form that were biochemically and biophysically equivalent to the authentic antigens obtained from infected C6/36 mosquito cells. Additionally, equivalent neutralizing antibody titers were induced in mice immunized either with EPs produced by transfected Sf9 cells or with EPs produced by transfected mammalian cells, in the context of coimmunization with a DNA vaccine that expresses EPs. Furthermore, the results of an enzyme-linked immunosorbent assay (ELISA) using an EP antigen derived from Sf9 cells correlated significantly with the results obtained by a neutralization test and an ELISA using an EP antigen derived from mammalian cells. Finally, Sf9 cells could produce 10- to 100-fold larger amounts of E antigen than mammalian cells. These results indicate the potential of Sf9 cells for high-level production of flavivirus protein vaccines and diagnostic antigens.
Noise Reduction Topology for Concentrate Winding High-Speed Brushless DC Motors (2019)

In this paper, we report an innovative Brushless DC stator topology for high-speed applications. This stator is designed as a trade-off between acoustic, electro-mechanic performances, and mass production feasibility. This topology is an improvement of an existing architecture fulfilling only the last two criteria.
Roadway Context Classification Approach for Developing Regional Safety Performance Functions for Florida Intersections (2020)

Understanding how the type and location of intersections affect crashes is important to reduce these crashes effectively. This paper discusses the development of regional safety performance functions (SPFs) based on a new context classification system developed by the Florida Department of Transportation (FDOT). This classification system (which has not previously been used) categorizes intersections into eight different categories based on land use and other parameters, allowing SPFs to be developed for up to 32 different types of intersections. The Model Inventory of Roadway Elements (MIRE) 2.0 was used as the standard inventory for the data elements collected. Using MIRE 2.0 allows for the procedures conducted in this study to be easily implemented in other states. SPFs were developed for two intersection groups. First, a linear regression model was built to predict missing minor traffic volumes. This statistically significant model ( p-value &lt; 0.05) had an adjusted R-square of 0.7648. Data were collected for over 25 potential predictor variables (including a regional variable for FDOT districts) and used to fit a negative binomial model to each studied intersection group. Some variables (such as major traffic volume) were significant for both groups, but each SPF had unique variables (such as speed limit and road width). Different regions were significant for each group, showing how crashes vary for different intersection types in different regions. By allowing for the development of SPF models for many intersection classifications, FDOT’s context classification system can be used by other agencies to identify crash-influencing factors better for different conditions.
Intra-night variation in apnea-hypopnea index affects diagnostics and prognostics of obstructive sleep apnea (2019)

Currently, the intra-night variation in frequency and severity of obstructive events is completely ignored by conventional, full-night AHI and considering this information could improve the diagnostics of OSA.
Small Peptides Catalyze Highly Enantioselective Direct Aldol Reactions of Aldehydes with Hydroxyacetone:  Unprecedented Regiocontrol in Aqueous Media (2004)

[reaction: see text] L-Proline-based small peptides have been developed as efficient catalysts for the asymmetric direct aldol reactions of hydroxyacetone with aldehydes. Chiral 1,4-diols 7, which are disfavored products in similar aldol reactions catalyzed by either aldolases or L-proline, were obtained in high yields and enantioselectivities of up to 96% ee with peptides 3 and 4 in aqueous media.
2012-04-16 - Avis de l'association sur les points soulevés lors de l'AG (2012)

Suite des echanges de l'Assemblee Generale Les membres du Conseil d'Administration veulent d'abord reaffirmer leur satisfaction dans leur activite a Flaine, que ce soit a titre professionnel ou de loisir. Il est toujours possible et souhaitable d'ameliorer, et l'Association Flainoise participe a un processus d'amelioration de facon constructive. Le tableau suivant recapitule la position de l'association sur les principaux points abordes lors de l'AG, et peut constituer une base de reflexion sur l'etat et (...)
A Framework for a Marine Biodiversity Observing Network Within Changing Continental Shelf Seascapes (2014)

Author Posting. © The Oceanography Society, 2014. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 27, no. 2 (2014): 18-23, doi:10.5670/oceanog.2014.56.
Auto-Generating Neural Networks with Reinforcement Learning for Multi-Purpose Image Forensics (2020)

Designing a forensic convolutional neural network (CNN) is usually based on some ad-hoc intuition and domain knowledge. Many methods to automate neural network design have been proposed for computer vision tasks, but they may not be directly applied to image forensic problems, which tend to detect weak traces signals left by image operations rather than strong image content signals. In this paper, we propose an approach to learn an optimal forensic CNN structure with reinforcement learning for detecting multiple image tampering operations. A learning agent is introduced to select CNN layers sequentially in a limited state-action space using Q-learning with an $\epsilon$-greedy strategy and experience replay. The experiments demonstrate that the auto-generated network performs better than other classic image forensic methods and shows more robustness against JPEG compression. To our knowledge, this is the first attempt to design forensic deep neural networks automatically with reinforcement learning.
Establishment and evaluation of the goose embryo epithelial (GEE) cell line as a new model for propagation of avian viruses (2018)

In this study, we report the establishment and characterization of a new epithelial cell line, goose embryonated epithelial cell line (GEE), derived from embryonic goose tissue. The purified GEE cell line can efficiently grow over 65 passages in the M199 medium supplemented with 10% fetal bovine serum at 37°C. Immunofluorescence assay was used to identify purified GEE cells as epithelial cell line by detecting expression of the Keratin-18 and -19. Further characterizations demonstrated that the GEE cell line can be continuously subcultured with (i) a high capacity to replicate for over 65 passages, (ii) a spontaneous epithelial-like morphology, (iii) constant chromosomal features and (iv) without an evidence of converting to tumorigenic cells either in vitro or in vivo study. Moreover, the GEE cell line can be effectively transfected with plasmids expressing reporter genes of different avian viruses, such as VP3, VP1 and F of goose parvo virus (GPV), duck hepatitis virus (DHV), and Newcastle disease virus (NDV), respectively. Finally, the established GEE cell line was evaluated for avian viruses infection susceptibility. Our results showed that the tested GPV, DHAV and NDV were capable to replicate in the new cell line with titers a comparatively higher to the ones detected in the traditional culture system. Accordingly, our established GEE cell line is apparently a suitable in vitro model for transgenic, and infection manipulation studies.
Multi-functional polymeric nanoparticles for tumour-targeted drug delivery (2006)

The use of nanoparticles as drug delivery vehicles for anticancer therapeutics has great potential to revolutionise the future of cancer therapy. As tumour architecture causes nanoparticles to preferentially accumulate at the tumour site, their use as drug delivery vectors results in the localisation of a greater amount of the drug load at the tumour site; thus improving cancer therapy and reducing the harmful nonspecific side effects of chemotherapeutics. In addition, formulation of these nanoparticles with imaging contrast agents provides a very efficient system for cancer diagnostics. Given the exhaustive possibilities available to polymeric nanoparticle chemistry, research has quickly been directed at multi-functional nanoparticles, combining tumour targeting, tumour therapy and tumour imaging in an all-in-one system, providing a useful multi-modal approach in the battle against cancer. This review will discuss the properties of nanoparticles that allow for such multiple functionality, as well as recent scientific advances in the area of multi-functional nanoparticles for cancer therapeutics.
Detail, Pressure, and Completion of Draw-a-Person Produced during Silence or Rock Music (1997)

For groups (36 in Grade 1, 40 undergraduates, 35 graduate students in music) rock music produced significant differences on Draw-A-Person such as more drawing detail, pressure of the pencil, and more complete pictures than those made during silence.
Rotating laminar emission camera with GE‐Detector: An analysis (1981)

Design criteria for a germanium detector emission camera with laminar collimator-detector geometry are reported. In this design, parallel plates above a grooved germanium slab form detector channels which accumulate data in multiple projections through 180 degrees. Activity distribution is determined through mathematical reconstruction from the projections. The laminar design has greater efficiency than a hole-collimated device due to a favorable open area ratio and due to collimation in only one dimension. The relative sensitivity at the center of the detector strip increases with detector length and distance from collimator face. Spatial resolution depends upon the design geometry (septal penetration and scatter within the crystal are of such small magnitude that degradation of the point spread function is minimal). A 30 channel protype device (ROLEC) shows good correlation with theoretically determined PSF and signal-to-noise ratio (SNR). Measuring times projected for a clinical sized device (300 mm diam) are about 4.6 times that of the Anger camera (with same SNR) and high resolution collimator.
A Picture is Worth 1,000 Millimeters: Combining Vision and Wi-Fi to Improve Localization (2023)

In the past, researchers designed, deployed, and evaluated Wi-Fi based localization techniques in order to locate users and devices without adding extra or costly infrastructure. However, as infrastructure deployments change, one must reexamine the role of Wi-Fi localization. Today, cameras are becoming increasingly deployed, and therefore this work examines how contextual and vision data obtained from cameras can be integrated with Wi-Fi localization techniques. We present an approach called CALM that works on commodity APs and cameras. Our approach contains several contributions: a camera line fitting technique to restrict the search space of candidate locations, single AP and camera localization via a deprojection scheme inspired from 3D cameras, simple and robust AP weighting that analyzes the context of users via the camera, and a new virtual camera methodology to scale analysis. We motivate our scheme by analyzing real camera and AP topologies from a major vendor. Our evaluation over 9 rooms and 102,300 wireless readings shows CALM can obtain decimeter-level accuracy, improving performance over previous Wi-Fi techniques like FTM by $2.7\times$ and SpotFi by $2.3\times$.
Comparison of dielectric breakdown properties for different carbon-fluoride insulating gases as SF6 alternatives (2018)

As a widely used insulating medium, sulfur hexafluoride (SF6) is a greenhouse gas with very high global warming potential (GWP). Some carbon-fluoride gases have potential to replace SF6 in insulating applications. In order to reveal their different dielectric performance, this paper is devoted to a comparative study of dielectric breakdown properties for SF6 and four carbon-fluoride insulating gases i.e. CF3I, C2F6, C3F8, and c-C4F8 mixed with CO2, N2, and CF4 based on the numerical solution of Boltzmann equation. The electron energy distribution function (EEDF), reduced ionization coefficients α/N, reduced electron attachment coefficients η/N, and reduced critical electric field strength (E/N)cr are compared for various gas mixtures. Generally c-C4F8 presents the largest dielectric strength among the four carbon-fluoride insulating gases whichever buffer gas is mixed, while C2F6 presents the lowest dielectric strength. In terms of (E/N)cr and GWP, CF3I is a good eco-friendly insulating medium. However, with the addition of buffer gases, the (E/N)cr of CF3I mixtures declines more quickly than other mixtures. It is also found that the mixing of CF4 makes insulating mixtures depend more linearly on the proportions of buffer gas than CO2 and N2.
Separation of Tamoxifen and Metabolites by Capillary Electro-Phoresis with Non-aqueous Buffer System (1994)

Abstract Tamoxifen and its metabolites were separated using a non-aqueous mobile phase consisting of ammonium acetate and a mixture of organic solvents, namely, methanol and acetonitrile. The effects of using other organic salts as the conducting medium and varying the composition of the mixture of acetonitrile and methanol on the separation were also investigated. Optimum separation was obtained by using 25 mM ammonium acetate in a 50:50 acetonitrile/ methanol mixture. High efficiency separations and short analysis times of less than 8 min were obtained. The reproducibility of migration time was better than 0.4%. The detection limits of tamoxifen and its metabolites were less than 40 pg.
Connective tissue representation for detection of microcalcifications in digital mammograms (2002)

Microcalcification clusters appear as an early sign of breast cancer and play an important role in interpreting mammograms. Progress is reported towards an automated computer aided detection system for clustered microcalcifications utilizing two image feature parameters: local contrast and shape. The use of a shape parameter is necessary to distinguish thin patches of connective tissue from microcalcifications. Two shape parameter techniques are compared in the segmentation of 15 digital mammogram images. The first technique implements the linear Hough transform, while the second uses image phase information in the Fourier domain. In both cases labeling of the image is performed by a deterministic relaxation scheme, in which both image data dn prior beliefs are weighted simultaneously. Similar segmentation results are obtained for each shape parameter technique however the execution time for the phase method is approximately one quarter that for the Hough method. Both techniques offer an improvement over segmentation results obtained without the shape parameter.
Ketenes in Polymer-Assisted Synthesis (2003)

For Abstract see ChemInform Abstract in Full Text.
Susceptibility of astrocytes to class I MHC antigen-specific cytotoxicity. (1987)

Cell-mediated immune mechanisms contribute to tissue injury within the central nervous system (CNS) in a number of experimental diseases, including experimental allergic encephalomyelitis and some viral infections, and may mediate lesion formation in multiple sclerosis. We investigated the conditions under which murine astrocytes can become susceptible targets of cytotoxic T cells. We demonstrate that mouse astrocytes in vitro can be susceptible targets of class I major histocompatibility complex (MHC)-specific cytotoxicity mediated by L3 cytotoxic T lymphocytes (CTL). Expression of appropriate class I MHC antigen on the astrocytes is a requirement, because only cells bearing the H-2d phenotype are susceptible to lysis by L3 cells. BALB/c-H-2dm2 astrocytes lacking the specific determinant recognized by L3 cells are not susceptible to lysis. Astrocyte lysis can, however, occur under culture conditions in which MHC antigen expression is immunocytochemically low or undetectable. Cytolysis can be inhibited by pretreatment of the effector L3 cells with either anti-Lyt-2 monoclonal antibody (mAb) or anti-clonotypic mAb and by preincubation of the glial target cells with an appropriate anti-H-2 antibody (anti-H-2Ld). mAb to lymphocyte function-associated antigen does not inhibit cytotoxicity of the L3 clone against glial cells. Knowledge regarding the role of CTL within the CNS, including the surface molecules involved in glial cell lysis, could further the development of immunotherapies designed to effect immune reactivity within the CNS.
From Aqueous Dispersions to Functional Materials: Capillarity and Electrostatic Adhesion (2018)

The author was first acquainted with polymer lattices as model particles for studying sedimentation phenomena, evolving towards the elucidation of synthetic and natural latex heterogeneity and microchemistry. This brought new elements to understand the remarkable mechanical properties of natural rubber, leading to the latex route for making nanocomposites. These materials show exceptional properties that are largely due to electrostatic adhesion, a concept that had been previously presented by Deryagin but was later abandoned. Electrostatic adhesion is the outcome of ion partition and self-assembly within drying aqueous dispersions, producing co-existing domains with opposite charges. Their examination allowed several experimental observations leading to the proposal of mechanisms to explain hitherto challenging electrostatic phenomena shown by solids and liquids. Water plays a decisive role in all the different phenomena described in this account.
Correlating cell cycle with apoptosis in a cell line expressing a tandem green fluorescent protein substrate specific for group II caspases (2001)

Apoptosis is delayed in the C-2-Y cell line and the early apoptotic cells have a higher G0-G1 cell cycle frequency. The artificial substrate competes with the natural substrate(s), thereby slowing the apoptotic process. The expression level of DEVD-GFP does not alter the delayed induction of apoptosis. Caspase activation occurs prior to phosphatidylserine translocation.
ChemInform Abstract: SYNTH. VON CYCLOHEXYL‐ UND CYCLOPENTYL‐(BETA‐AMINO‐VINYL)‐KETONEN (1971)

Abstract Durch Reaktion der Chlorvinylketone (I) mit einem Überschuß der Amine (II) in Wasser bei 0°C werden die Aminovinylketone (III) (Ausbeute 60‐94%) dargestellt.
New operation scheme of SOA-MZI all-optical wavelength converter cancelling cross gain modulation (2006)

New operation scheme of SOA-MZI all-optical wavelength converter by which effect of cross gain modulation is cancelled out utilizing bidirectional data signal input is proposed and experimentally verified for the first time.
S‐deficiency responsive accumulation of amino acids is mainly due to hydrolysis of the previously synthesized proteins – not to de novo synthesis in Brassica napus (2012)

To characterize the mechanisms of amino acid accumulation under sulphur (S)-deficiency and its physiological significance in Brassica napus, stable isotopes (15) N and (34) S were employed. The plants were exposed for 9 days to S-deficient conditions (0.05 mM vs 1.5 mM sulphate). After 9 days of S-deficiency, leaf-osmotic potential and total chlorophyll content significantly decreased. S uptake decreased by 94%, whereas N uptake and biomass were not significantly changed. Using (15) N and (34) S labelling, de novo synthesis of amino acids and proteins derived from newly absorbed NO(3) (-) and SO(4) (2) (-) and the content of N and S in the previously synthesized amino acids and proteins were quantified. At the whole plant level, S-deficiency increased the pool of amino acids but resulted in strong decrease of incorporation of newly absorbed NO(3) (-) and SO(4) (2) (-) into amino acids by 22.2 and 76.6%, respectively, compared to the controls. Total amount of N and S incorporated into proteins also decreased by 28.8 and 62.1%, respectively. The levels of (14) N- and (32) S-proteins (previously synthesized proteins) strongly decreased, mainly in mature leaves. The data thus indicate that amino acid accumulation under short-term S-deficiency results from the degradation of previously synthesized proteins rather than from de novo synthesis.