gebhart/patrepeval huggingface dataset:
Mast cells and mast cell growth factor: possible role in auricular thrombosis (1995)

Although mast cells have been implicated in many vascular and inflammatory reactions, the mechanisms underlying such mast cell-dependent processes have not been fully clarified. Recently we have established an association between mast cells and local thrombus formation. The most useful model for studying molecular mechanisms of mast cell-thrombosis interactions appeared to be auricular thrombosis. In the present review we summarize our findings in patients with auricular thrombosis with regard to functionally important molecules that can either be expressed and released by cardiac mast cells or interact with mast cells via distinct cell surface molecules. The potential prothrombolytic function of mast cells in atrial thrombosis is discussed. Biomedical Reviews 1995; 4: 29-34.
Thermooptical Properties of Branched Gold Nanoparticles Unraveled by In situ EXAFS (Talk) (2010)

status: Published
Meta-analysis of cotton fiber quality QTLs across diverse environments in a Gossypium hirsutum x G. barbadense RIL population (2010)

Meta-analysis provided a reliable means of integrating phenotypic and genetic mapping data across multiple populations and environments for complex fiber traits. The consistent chromosomal regions contributing to fiber quality traits constitute good candidates for the further dissection of the genetic and genomic factors underlying important fiber characteristics, and for marker-assisted selection.
Physical basis of large microtubule aster growth (2016)

Microtubule asters - radial arrays of microtubules organized by centrosomes - play a fundamental role in the spatial coordination of animal cells. The standard model of aster growth assumes a fixed number of microtubules originating from the centrosomes. However, aster morphology in this model does not scale with cell size, and we recently found evidence for non-centrosomal microtubule nucleation. Here, we combine autocatalytic nucleation and polymerization dynamics to develop a biophysical model of aster growth. Our model predicts that asters expand as traveling waves and recapitulates all major aspects of aster growth. With increasing nucleation rate, the model predicts an explosive transition from stationary to growing asters with a discontinuous jump of the aster velocity to a nonzero value. Experiments in frog egg extract confirm the main theoretical predictions. Our results suggest that asters observed in large fish and amphibian eggs are a meshwork of short, unstable microtubules maintained by autocatalytic nucleation and provide a paradigm for the assembly of robust and evolvable polymer networks.
Ethanol Extract of Ganoderma lucidum Augments Cellular Anti-oxidant Defense through Activation of Nrf2/HO-1 (2016)

Collectively, these results demonstrate that EGL augments the cellular anti-oxidant defense capacity through activation of Nrf2/HO-1, thereby protecting C2C12 myoblasts from H2O2-induced oxidative cytotoxicity.
Magneto-Optics of Excitons Interacting with Magnetic Ions in CdSe/CdMnS Colloidal Nanoplatelets (2020)

Excitons in diluted magnetic semiconductors represent excellent probes for studying the magnetic properties of these materials. Various magneto-optical effects, which depend sensitively on the exchange interaction of the excitons with the localized spins of the magnetic ions can be used for probing. Here, we study core/shell CdSe/(Cd,Mn)S colloidal nanoplatelets hosting diluted magnetic semiconductor layers. The inclusion of the magnetic Mn<sup>2+</sup> ions is evidenced by three magneto-optical techniques using high magnetic fields up to 15 T: polarized photoluminescence, optically detected magnetic resonance, and spin-flip Raman scattering. We show that the holes in the excitons play the dominant role in exchange interaction with magnetic ions. We suggest and test an approach for evaluation of the Mn<sup>2+</sup> concentration based on the spin-lattice relaxation dynamics of the Mn<sup>2+</sup> spin system.
Analysis of electron beam induced deposition (EBID) of residual hydrocarbons in electron microscopy (2007)

In this work we have developed a comprehensive dynamic model of electron beam induced deposition (EBID) of residual hydrocarbon coupling mass transport, electron transport and scattering, and species decomposition to predict the deposition of carbon nanopillars. The simulations predict the local species and electron density distributions, as well as the three-demensional morphology and the growth rate of the deposit. Since the process occurs in a high vacuum environment, surface diffusion is considered as the primary transport mode of surface-adsorbed hydrocarbon precursor. The governing surface transport equation (STE) of the adsorbed species is derived and solved numerically. The transport, scattering, and absorption of primary electron as well as secondary electron generation are treated using the Monte Carlo method. Low energy secondary electrons are the major contributors to hydrocarbon decomposition due to their energy range matching peak dissociation reaction cross section energies for precursor molecules. The deposit and substrate are treated as a continuous entity allowing the simulation of the growth of a realistically sized deposit rather than a large number of cells representing each individual atom as in previously published simulations [Mitsuishi et al., Ultramicroscopy 103, 17 (2005); Silvis-Cividjian, Ph.D. thesis, University of Delft, 2002]. Such formulation allows for simple coupling of the STE with the dynamic growth of the nanopillar. Three different growth regimes occurring in EBID are identified using scaling analysis, and simulations are used to describe the deposit morphology and precursor surface concentration specific for each growth regime.
Peptides Derived from High Oleic Acid Soybean and Their Health Benefits (2022)

Proteins are essential macro nutrients for maintaining health in humans and soybean seeds have the highest content of protein among all sources. Peptides are small fragments of proteins; either naturally occurring or derived through bio-chemical processes. The beneficial effects of soybean peptides have been reported by several researchers. They are identified in various value-added soy products and various methods have been used in the production of peptides. Isolated and purified peptides have been evidenced to bear antimicrobial, antioxidant, antidiabetic, anti-hypertensive, anticancer, and immunomodulatory properties through studies employing either bioactive assays or cell line models in vivo. Clinical studies have been conducted to understand the efficacy of these peptides for their health-promoting and therapeutic uses. However, the mechanisms of biological activity shown by these peptides are not clear and need to be elucidated further. There are many questions about digestibility, bioavailability, and absorption in the gut environment; and further investigation is required. Although research on soy peptides in general for health benefits has been reported, studies on peptides derived from high oleic acid are limited. This chapter discusses the current techniques for derivation of peptides from parent proteins, especially high oleic acid soybeans. It also presents the latest research techniques in testing bioactivities of derived peptides for their health benefits and, challenges in peptide sequencing as well as synthetic manufacturing.
Enantioselective synthesis of pure (R,R)-2,3-butanediol in Escherichia coli with stereospecific secondary alcohol dehydrogenases (2009)

We characterized the activity and stereospecificity of four secondary alcohol dehydrogenases (sADHs) towards acetoin reduction and constructed synthetic pathways in E. coli to produce enantiomerically pure (R,R)-2,3-butanediol (2,3-BDO) from glucose with a titer of 6.1 g/L (enantio purity >99%), and yield of 0.31 g product/g glucose (62% of theoretical maximum).
A Relative Permeability Modifier for Water Control: Candidate Selection, Case Histories, and Lessons Learned after more than 3,000 Well Interventions (2013)

Abstract Excessive water production can detrimentally affect the profitability of hydrocarbon producing wells and limit their economic life. Relative permeability modifiers (RPMs) were introduced to the oil and gas industry more than two decades ago as an option to selectively reduce water production. This type of treatment became appealing to operators because of its simplicity of deployment requiring no zonal isolation (i.e., bullhead-type treatments). However, RPM treatments have their limitations, and proper candidate selection is the key to a high success ratio. This paper discusses the application of a unique RPM system developed for water control. This RPM system is based on a hydrophobically modified water soluble polymer (HRPM) that, once adsorbed to the surface of the rock, selectively reduces water effective permeability with little to no damage to oil or gas production. The hydrophobic modification to the base polymer chain adds unique associative properties to the system. In contrast to porosity fill-sealants (i.e., crosslinked polymer gels), HRPM treatments only provide a restriction to water flow. The following parameters are discussed: (1) HRPM performance testing, (2) candidate selection criteria, (3) design considerations and best practices for field implementation, and (4) case histories. To date, more than 3000 treatments have been performed with this HRPM system. A wide variety of case histories are highlighted in this paper discussing different types of reservoirs, wellbore completions, and water production mechanisms, among others. In addition to water control, the application of this HRPM system has been extended to hydraulic fracturing, acid stimulation, and overbalanced workover interventions. Case histories are examined. Often, RPM treatments are applied in reservoir/wellbore conditions outside of their operating capabilities. One of the main objectives of this paper is to assist operators with the candidate selection process for this particular HRPM treatment.
TP53 mutation status divides myelodysplastic syndromes with complex karyotypes into distinct prognostic subgroups (2019)

Risk stratification is critical in the care of patients with myelodysplastic syndromes (MDS). Approximately 10% have a complex karyotype (CK), defined as more than two cytogenetic abnormalities, which is a highly adverse prognostic marker. However, CK-MDS can carry a wide range of chromosomal abnormalities and somatic mutations. To refine risk stratification of CK-MDS patients, we examined data from 359 CK-MDS patients shared by the International Working Group for MDS. Mutations were underrepresented with the exception of TP53 mutations, identified in 55% of patients. TP53 mutated patients had even fewer co-mutated genes but were enriched for the del(5q) chromosomal abnormality (p < 0.005), monosomal karyotype (p < 0.001), and high complexity, defined as more than 4 cytogenetic abnormalities (p < 0.001). Monosomal karyotype, high complexity, and TP53 mutation were individually associated with shorter overall survival, but monosomal status was not significant in a multivariable model. Multivariable survival modeling identified severe anemia (hemoglobin < 8.0 g/dL), NRAS mutation, SF3B1 mutation, TP53 mutation, elevated blast percentage (>10%), abnormal 3q, abnormal 9, and monosomy 7 as having the greatest survival risk. The poor risk associated with CK-MDS is driven by its association with prognostically adverse TP53 mutations and can be refined by considering clinical and karyotype features.
Hybrid Mach-Zehnder Racetrack Resonator for Fast, Low-Power Thermooptic Modulation and Coupling Control (2005)

An InGaAsP/InP optical modulator based on electrical control of waveguide-resonator coupling is demonstrated. Thermooptic switching with 18.5 dB contrast, switching power of 29 mW, and 1.8 µs rise time is measured.
Cross-Seeding Controls Aβ Fibril Populations and Resulting Functions (2022)

Amyloid peptides nucleate from monomers to aggregate into fibrils through primary nucleation. Pre-existing fibrils can then act as seeds for additional monomers to fibrillize through secondary nucleation. Both nucleation processes occur simultaneously, yielding a distribution of fibril polymorphs that can generate a spectrum of neurodegenerative effects. Understanding the mechanisms driving polymorph structural distribution during both nucleation processes is important for uncovering fibril structure-function relationships, as well as for creating polymorph distributions in vitro that better match fibril structures found in vivo. Here, we explore how cross-seeding wild-type (WT) Aβ<sub>1-40</sub> with Aβ<sub>1-40</sub> mutants E22G (Arctic) and E22Δ (Osaka), as well as with WT Aβ<sub>1-42</sub>, affects the distribution of fibril structural polymorphs and how changes in structural distribution impact toxicity. Transmission electron microscopy analysis revealed that fibril seeds derived from mutants of Aβ<sub>1-40</sub> imparted their structure to WT Aβ<sub>1-40</sub> monomers during secondary nucleation, but WT Aβ<sub>1-40</sub> fibril seeds do not affect the structure of fibrils assembled from mutant Aβ<sub>1-40</sub> monomers, despite the kinetic data indicating accelerated aggregation when cross-seeding of any combination of mutants. Additionally, WT Aβ<sub>1-40</sub> fibrils seeded with mutant fibrils produced similar structural distributions to the mutant seeds with similar cytotoxicity profiles. This indicates that mutant fibril seeds not only impart their structure to growing WT Aβ<sub>1-40</sub> aggregates but also impart cytotoxic properties. Our findings establish a relationship between the fibril structure and the phenotype on a polymorph population level and that these properties can be passed on through secondary nucleation to the succeeding generations of fibrils.
La peste porcine africaine, l’autre crise sanitaire (2021)

La séance bi-académique entre l’Académie d’Agriculture de France (AAF) et l’Académie Vétérinaire de France (AVF) du 3 février 2021 était dédiée à la Peste Porcine Africaine (PPA). Les auteurs présentent le contexte de cette initiative, la problématique abordée puis introduisent les conférenciers biologistes, experts de la maladie, et économistes, experts des marchés en Europe et en Chine, pour terminer par une synthèse des conclusions de la séance.
The Lightning Rod Model: Quantitative Near-Field Spectroscopy for Extraction of Nano-Resolved Optical Constants (2013)

Near-field infrared spectroscopy by elastic scattering of light from a probe tip resolves optical contrasts in materials at dramatically sub-wavelength scales across a broad energy range, with the demonstrated capacity for chemical identification at the nanoscale. However, current models of probe-sample near-field interactions still cannot provide a sufficiently quantitatively interpretation of measured near-field contrasts, especially in the case of materials supporting strong surface phonons. We present a model of near-field spectroscopy derived from basic principles and verified by finite-element simulations, demonstrating superb predictive agreement both with tunable quantum cascade laser near-field spectroscopy of SiO$_2$ thin films and with newly presented nanoscale Fourier transform infrared (nanoFTIR) spectroscopy of crystalline SiC. We discuss the role of probe geometry, field retardation, and surface mode dispersion in shaping the measured near-field response. This treatment enables a route to quantitatively determine nano-resolved optical constants, as we demonstrate by inverting newly presented nanoFTIR spectra of an SiO$_2$ thin film into the frequency dependent dielectric function of its mid-infrared optical phonon. Our formalism further enables tip-enhanced spectroscopy as a potent diagnostic tool for quantitative nano-scale spectroscopy.
Influence of prednisolone on the secretion of mucin from the HT29-MTX cell line (2003)

Glucocorticoids have been used in the treatment of otitis media with effusion with promising but inconsistent results. The HT29-MTX cell line is a completely differentiated and almost exclusively mucus-secreting goblet cell line. To assess the potential of steroids in suppressing mucin secretion, we have studied the response of this cell culture to prednisolone. Confluent cell cultures were trypsinized, subcultured in six-well plates and incubated with five doses of prednisolone from 10-3 M to 10-11 M and over a varying time course from 6 to 36 h. Analysis was performed using a monoclonal mouse antibody to human gastric mucin by dot-blot ELISA. Prednisolone caused a consistent reduction in mucin production from this cell line. Increasing concentrations of prednisolone resulted in increasing suppression of MUC5AC secretion. There is a dose-dependent suppression of mucin secretion by prednisolone, with a maximum effect of 21% over control seen at the highest steroid concentration used.
Inhibition of Marburg Virus Budding by Nonneutralizing Antibodies to the Envelope Glycoprotein (2012)

The envelope glycoprotein (GP) of Marburg virus (MARV) and Ebola virus (EBOV) is responsible for virus entry into host cells and is known as the only target of neutralizing antibodies. While knowledge about EBOV-neutralizing antibodies and the mechanism for the neutralization of infectivity is being accumulated gradually, little is known about antibodies that can efficiently regulate MARV infectivity. Here we show that MARV GP-specific monoclonal antibodies AGP127-8 (IgG1) and MGP72-17 (IgM), which do not inhibit the GP-mediated entry of MARV into host cells, drastically reduced the budding and release of progeny viruses from infected cells. These antibodies similarly inhibited the formation of virus-like particles (VLPs) consisting of GP, the viral matrix protein, and nucleoprotein, whereas the Fab fragment of AGP127-8 showed no inhibitory effect. Morphological analyses revealed that filamentous VLPs were bunched on the surface of VLP-producing cells cultured in the presence of the antibodies. These results demonstrate a novel mechanism of the antibody-mediated inhibition of MARV budding, in which antibodies arrest unformed virus particles on the cell surface. Our data lead to the idea that such antibodies, like classical neutralizing antibodies, contribute to protective immunity against MARV and that the "classical" neutralizing activity is not the only indicator of a protective antibody that may be available for prophylactic and therapeutic use.
Phase-separation in ion-containing mixtures in electric fields (2006)

When a liquid mixture is subjected to external electric fields, ionic screening leads to field gradients. We point out that if the mixture is initially in the homogeneous phase, this screening can bring about a robust phase-separation transition with two main features: (i) the phase separation is expected to occur in any electrode geometry, and (ii) the voltage required is typically of the order of 1 V and even less. We discuss several applications of the effect relevant to the field of microfluidics, focusing on the creation of a nanometer-scale lubrication layer in the phase-separation process.
Confocal Raman imaging for cancer cell classification (2014)

We propose confocal Raman imaging as a label-free single cell characterization method that can be used as an alternative for conventional cell identification techniques that typically require labels, long incubation times and complex sample preparation. In this study it is investigated whether cancer and blood cells can be distinguished based on their Raman spectra. 2D Raman scans are recorded of 114 single cells, i.e. 60 breast (MCF-7), 5 cervix (HeLa) and 39 prostate (LNCaP) cancer cells and 10 monocytes (from healthy donors). For each cell an average spectrum is calculated and principal component analysis is performed on all average cell spectra. The main features of these principal components indicate that the information for cell identification based on Raman spectra mainly comes from the fatty acid composition in the cell. Based on the second and third principal component, blood cells could be distinguished from cancer cells; and prostate cancer cells could be distinguished from breast and cervix cancer cells. However, it was not possible to distinguish breast and cervix cancer cells. The results obtained in this study, demonstrate the potential of confocal Raman imaging for cell type classification and identification purposes.
Using CFD analysis to optimise top submerged lance furnace geometries (2017)

The gas offtake design is an important aspect of the Top Submerged Lance (TSL) furnace technology. CFD modelling has been used to investigate the gas offtake geometry to better understand and address common industrial issues. The objective of the study was to understand how the shape of the offtake affected emissions from the roof ports, and influenced both the location of the post combustion reactions and the flow profile of the gas within the vessel and waste heat boiler (WHB). The conditions and gas species included in the modelling are based on typical large industrial copper smelters. Commercial software (ANSYS-FLUENT) has been used to investigate design variants by incorporating the effects of momentum, multi-component mixing, radiative and convective heat transfer, combustion reactions, and buoyancy. The learnings from the CFD modelling were integrated into the design of the new Novasmelt™ TSL technology.
PartAL: Efficient Partial Active Learning in Multi-Task Visual Settings (2022)

Multi-task learning is central to many real-world applications. Unfortunately, obtaining labelled data for all tasks is time-consuming, challenging, and expensive. Active Learning (AL) can be used to reduce this burden. Existing techniques typically involve picking images to be annotated and providing annotations for all tasks. In this paper, we show that it is more effective to select not only the images to be annotated but also a subset of tasks for which to provide annotations at each AL iteration. Furthermore, the annotations that are provided can be used to guess pseudo-labels for the tasks that remain unannotated. We demonstrate the effectiveness of our approach on several popular multi-task datasets.
Introduction to the Special Issue on Multiagent Systems and Services in the Internet of Things (2022)

research-article Share on Introduction to the Special Issue on Multiagent Systems and Services in the Internet of Things Authors: Andrei Ciortea University of St. Gallen, Switzerland University of St. Gallen, Switzerland 0000-0003-0721-4135Search about this author , Xiaomin Zhu National University of Defense Technology, China National University of Defense Technology, China 0000-0003-1301-7840Search about this author , Calton Pu Georgia Institute of Technology, USA Georgia Institute of Technology, USA 0000-0002-6616-8987Search about this author , Munindar P. Singh North Carolina State University, USA North Carolina State University, USA 0000-0003-3599-3893Search about this author Authors Info & Claims ACM Transactions on Internet TechnologyVolume 22Issue 4November 2022 Article No.: 99pp 1–3https://doi.org/10.1145/3584744Published:03 March 2023Publication History 0citation0DownloadsMetricsTotal Citations0Total Downloads0Last 12 Months0Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access