gebhart/patrepeval huggingface dataset:
Inhibitory Interactions of the Bradykinin B2 Receptor with Endothelial Nitric-oxide Synthase (1998)

It has been shown previously that the endothelial nitric-oxide synthase (eNOS) interacts reversibly with the plasmalemmal caveolae structural protein, caveolin-1. The eNOS-caveolin-1 interaction inhibits eNOS catalytic activity. In the present study, we show that eNOS also participates in reversible inhibitory interactions with the G protein-coupled bradykinin B2 receptor. eNOS and the B2 receptor are coimmunoprecipitated from endothelial cell lysates by antibodies directed against either of the two proteins. A glutathione S-transferase fusion protein containing intracellular domain 4 of the receptor is bound by purified recombinant eNOS in in vitro binding assays. The fusion protein selectively inhibits the activity of purified eNOS. A synthetic peptide corresponding to membrane-proximal residues 310-334 in intracellular domain 4 also potently inhibits eNOS activity (IC50 < 1 microM). Treatment of cultured endothelial cells with bradykinin or Ca2+ ionophore promotes a rapid dissociation of the eNOS.B2 receptor complex. These data demonstrate that the bradykinin B2 receptor physically associates with eNOS in a ligand- and Ca2+-dependent manner. Reversible and inhibitory membrane-docking interactions of eNOS, therefore, are not restricted to those with caveolin-1 but also occur with the bradykinin B2 receptor.
Immunosuppressive Property of Dried Human Amniotic Membrane (2008)

The immunosuppressive property of dHAM was demonstrated using an alloreactive splenocyte proliferation assay.
Tracking of vehicles on nearside lanes using multiple radar sensors (2014)

Tracking overtaking vehicles is an integral aspect of Lane Change Assistant Systems. For this, in this work, a set of six radar sensors is mounted on a test vehicle. As the sensors generate spatially extended measurements from different parts of the vehicles, the estimation of position and velocity of the surrounding vehicles leads to an extended target tracking problem. This is especially the case when a vehicle is located on a nearside lane. A method for tracking these targets is proposed, under the assumption that a target vehicle comprises a random number of reflection centers located on a rectangular structure. To estimate the existence of a reflector in combination with the vehicle target state, the Joint Integrated Probabilistic Data Association Filter (JIPDA) is applied.
Traitement numérique du signal acoustique pour une aide aux malentendants (2004)

Hearing impairment may be considered as a serious physical and social handicap. Alleviating hearing impairment is therefore a very challenging application for digital signal processing. The framework of this thesis is the use and development of digital signal processing technique for use in hearing-aid devices. Since the auditory system is a very effective and complex, compensating for the hearing-loss is a very challenging problem. Moreover, hearing-aid is based on miniaturized chips and electro-acoustic devices that force to be subject to certain technology constraints. During our research, we have studied and developed a speech enhancement stage in the hearing-aid using a short-term spectral modification method, the Ephraïm and Malah suppression rule (EMSR). In order to perform the frequency analysis on a perceptually relevant frequency scale, we introduce an adaptation of the EMSR. The frequency scale used in this work, the ERB (Equivalent Rectangular Bandwith) scale, models the resolution of the auditory filters. Hearing-aid can be considered as a closed-loop electro-acoustical system that can become unstable because of the feedback. The main part of this thesis is devoted to feedback cancellation using multi delay adaptive filtering in the transform domain. The last part of this work consist in developing a real-time implementation of the feedback cancellation algorithm previously proposed using a prototype hearing aid.
[Mechanism of PTH actions on bone]. (2003)

PTH acts on the osteoblast and regulates bone resorption and formation. While a continuous increase in circulating PTH results in bone loss due to predominantly enhanced bone resorption, intermittent PTH treatment strongly stimulates bone formation and thereby increase bone mass. PTH has divergent effects on the osteoblast, regulating its proliferation, differentiation and survival. Although some evidence suggest an involvement of transcription factors such as fos family and local factors including IGF-1, mechanisms by which PTH stimulates bone formation remain largely unknown.
The EOL-1 cell line as an in vitro model for the study of FIP1L1-PDGFRA–positive chronic eosinophilic leukemia (2003)

We recently identified the chimeric kinase FIP1L1-platelet-derived growth factor receptor alpha (PDGFRalpha) as a cause of the hypereosinophilic syndrome and of chronic eosinophilic leukemia. To investigate the role of FIP1L1-PDGFRA in the pathogenesis of acute leukemia, we screened 87 leukemia cell lines for the presence of FIP1L1-PDGFRA. One cell line, EOL-1, expressed the FIP1L1-PDGFRA fusion. Three structurally divergent kinase inhibitors--imatinib (STI-571), PKC412, and SU5614--inhibited the growth of EOL-1 cells. These results indicate that the fusion of FIP1L1 to PDGFRA occurs rarely in leukemia cell lines, but they identify EOL-1 as an in vitro model for the study of FIP1L1-PDGFRA-positive chronic eosinophilic leukemia and for the analysis of small molecule inhibitors of FIP1L1-PDGFRalpha.
Conditions for Equilibrium Solid-Stabilized Emulsions (2010)

Particular types of solid-stabilized emulsions can be thermodynamically stable as evidenced by their spontaneous formation and monodisperse droplet size, which only depends on system parameters. Here, we investigate the generality of these equilibrium solid-stabilized emulsions with respect to the basic constituents: aqueous phase with ions, oil, and stabilizing particles. From systematic variations of these constituents, we identify general conditions for the spontaneous formation of monodisperse solid-stabilized emulsions droplets. We conclude that emulsion stability is achieved by a combination of solid particles as well as amphiphilic ions adsorbed at the droplet surface, and low interfacial tensions of the bare oil-water interface of order 10 mN/m or below. Furthermore, preferential wetting of the colloidal particles by the oil phase is necessary for thermodynamic stability. We demonstrate the sufficiency of these basic requirements by extending the observed thermodynamic stability to emulsions of different compositions. Our findings point to a new class of colloid-stabilized meso-emulsions with a potentially high impact on industrial emulsification processes due to the associated large energy savings.
Monosaccharide-Responsive Release of Insulin from Polymersomes of Polyboroxole Block Copolymers at Neutral pH (2012)

We synthesized a boroxole-containing styrenic monomer that can be polymerized by the reversible addition-fragmentation and chain transfer (RAFT) method. Poly(styreneboroxole) (PBOx) and its block copolymers with a poly(ethylene glycol) (PEG) as a hydrophilic block displayed binding to monosaccharides in phosphate buffer at neutral pH, as quantified by Wang's competitive binding experiments. By virtue of a controlled radical polymerization, we were able to adjust the degree of polymerization of the PBOx block to yield sugar-responsive block copolymers that self-assembled into a variety of nanostructures including spherical and cylindrical micelles and polymer vesicles (polymersomes). Polymersomes of these block copolymers exhibited monosaccharide-responsive disassembly in a neutral-pH medium. We demonstrated the possibility of using these polymersomes as sugar-responsive delivery vehicles for insulin in neutral phosphate buffer (pH 7.4). Encapsulated insulin could be released from the polymersomes only in the presence of sugars under physiologically relevant pH conditions.
Comparison of methods for processing acoustic intensity from orthogonal multimicrophone probes (2012)

One design for three-dimensional multimicrophone probes is the four-microphone orthogonal design consisting of one microphone at an origin position with the other three microphones equally spaced along the three coordinate axes. Several distinct processing methods have been suggested for the estimation of active acoustic intensity with the orthogonal probe; however, the relative merits of each method have not been thoroughly studied. This comparative study is an investigation of the errors associated with each method. Considered are orthogonal probes consisting of matched point sensor microphones both freely suspended and embedded on the surface of a rigid sphere. Results are given for propagating plane-wave fields for all angles of incidence. It is shown that the lowest error for intensity magnitude results from having the microphones in a sphere and using just one microphone for the pressure estimate. For intensity direction, the lowest error results from having the microphones in a sphere and using Taylor approximations to estimate the particle velocity and pressure.
Dewatering of microalgal cultures: A major bottleneck to algae-based fuels (2010)

Microalgae dewatering is a major obstruction to industrial-scale processing of microalgae for biofuel production. The dilute nature of harvested microalgal cultures creates a huge operational cost during dewatering, thereby, rendering algae-based fuels less economically attractive. Currently there is no superior method of dewatering microalgae. A technique that may result in a greater algal biomass may have drawbacks such as a high capital cost or high energy consumption. The choice of which harvesting technique to apply will depend on the species of microalgae and the final product desired. Algal properties such as a large cell size and the capability of the microalgae to autoflocculate can simplify the dewatering process. This article reviews and addresses the various technologies currently used for dewatering microalgal cultures along with a comparative study of the performances of the different technologies.
Biopsy Planner – Visual Analysis for Needle Pathway Planning in Deep Seated Brain Tumor Biopsy (2012)

Abstract Biopsies involve taking samples from living tissue using a biopsy needle. In current clinical practice they are a first mandatory step before any further medical actions are planned. Performing a biopsy on a deep seated brain tumor requires considerable time for establishing and validating the desired biopsy needle pathway to avoid damage. In this paper, we present a system for the visualization, analysis, and validation of biopsy needle pathways. Our system uses a multi‐level approach for identifying stable needle placements which minimize the risk of hitting blood vessels. This is one of the major dangers in this type of intervention. Our approach helps in identifying and visualizing the point on the pathway that is closest to a surrounding blood vessel, requiring a closer inspection by the neurosurgeon. An evaluation by medical experts is performed to demonstrate the utility of our system.
Elevated serum IL-8 levels are associated with disease activity in idiopathic intermediate uveitis (1998)

Elevated IL-8 serum levels were found in patients with active intermediate uveitis of unknown origin. An elevated IL-8 level seems to predispose the patient to a later development of associated systemic disease.
Fine Tuning of the Longitudinal Plasmon Resonance of Gold Nanorods by Depleting Gold Precursor (2012)

For gold nanorod synthesis, the seed-mediated growth as the most effective method has been used widely. However, the inevitable overgrowth leads to poor control of the final shape of particle. In present work, by adding chemical inhibitor to deplete the residual gold salt in solution, the growth process can be terminated effectively at any stage and nanorods with desirable shape can be produced. This kind of competitive precursor depletion provides a simple pathway to finely tune the wavelength of the longutidinal plasmon band of gold nanorods. It also has potential application in studying the crystallization mechanism of nonspherical metal nanoparticles in solution.
Nitrile-Functionalized Pyridinium Ionic Liquids:  Synthesis, Characterization, and Their Application in Carbon−Carbon Coupling Reactions (2004)

A series of relatively low-cost ionic liquids, based on the N-butyronitrile pyridinium cation [C(3)CNpy](+), designed to improve catalyst retention, have been prepared and evaluated in Suzuki and Stille coupling reactions. Depending on the nature of the anion, these salts react with palladium chloride to form [C(3)CNpy](2)[PdCl(4)] when the anion is Cl(-) and complexes of the formula [PdCl(2)(C(3)CNpy)(2)][anion](2) when the anion is PF(6)(-), BF(4)(-), or N(SO(2)CF(3))(2)(-). The solid-state structures of [C(3)CNpy]Cl and [C(3)CNpy](2)[PdCl(4)] have been established by single-crystal X-ray diffraction. The catalytic activity of these palladium complexes following immobilization in both N-butylpyridinium and nitrile-functionalized ionic liquids has been evaluated in Suzuki and Stille coupling reactions. All of the palladium complexes show good catalytic activity, but recycling and reuse is considerably superior in the nitrile-functionalized ionic liquid. Inductive coupled plasma spectroscopy reveals that the presence of the coordinating nitrile moiety in the ionic liquid leads to a significant decrease in palladium leaching relative to simple N-alkylpyridinium ionic liquids. Palladium nanoparticles have been identified as the active catalyst in the Stille reaction and were characterized using transmission electron microscopy.
A method for emission estimation for microscopic traffic flow simulation (2011)

Road traffic plays an important role in exhaust gas emissions. Traffic related emissions can be reduced by different traffic control measures like traffic signals in urban areas and Variable Message Signs on motorways. The control strategies aim to harmonize traffic flow and adjust unavoidable congestion in order to minimize fuel consumption and emissions. Since the engine technology of cars is currently changing rapidly (automatic start-stop, increasing fleet of hybrid vehicles and emerging electrical vehicles) fleet emissions are not as predictable as in the past. In order to test the impact of traffic control strategies on traffic related emissions, a research team at the Technical University in Graz developed a simulation toolbox by coupling a microscopic traffic flow simulator (VISSIM) and a microscopic emission model (PHEM). This toolbox allows to simulate different traffic scenarios for urban and interurban road networks and to calculate the related fuel consumption and emissions. Due to the vast amount of data and the complexity of instantaneous emission calculation based on engine maps, modeling of large-scale road networks is computationally very intensive which limits the number of different traffic control scenarios. This paper presents an intermediate calculation step to make a first estimation of the environmental impacts to avoid unessential detailed investigations. This step provides the possibility to decide whether the simulated traffic control strategy has a positive effect on emissions. Based on this decision support modelers are able to identify suitable control strategies for further investigations. The simplified calculation method is based on averaging a vast amount of vehicle trajectory data. Representative trajectories are taken as classifiers for emission calculation to limit this most time consuming step.
Management of cytopenias in patients with myelofibrosis treated with ruxolitinib and effect of dose modifications on efficacy outcomes (2013)

This COMFORT-I analysis shows that dose-dependent cytopenias were effectively managed with ruxolitinib dose adjustments, and titrated doses of ≥10 mg BID were associated with clinically meaningful reductions in spleen volume and symptom improvement at week 24.
A General Study of Asphaltene Flocculation Prediction at Field Conditions (2007)

Summary A large set of field data have been collected during the last decade related to various facets of asphaltene instability problems at our production facilities. These problems include compatibility of heavy oil with hydrocarbon diluents in a Venezuelan operation, commingling of live oil and condensate in a North Sea production facility, compatibility of drilling mud-base oil, and miscible injectants with reservoir fluids in Alaskan operations. In each of the field cases, significant lab data were generated by titrating the neat dead crude oil, and oil-solvent blends with n-alkanes. The solvents used to study the asphaltene issue were toluene, condensate, and base oil. We have applied available asphaltene prediction techniques (Heithaus 1960, 1962; Wiehe and Kennedy 2000ab; Wiehe et al. 2001; Andersen 1999; Wang and Buckley 2001; Wang et al. 2003, 2004; Leontaritis 1998) to explain the field data. None of the models has been found comprehensive enough to explain flocculation at all the conditions, including the flocculation that occurs at ambient conditions in the presence of paraffinic diluents; stability enhancement that occurs upon addition of aromatic solvents; and the instability that occurs in a live fluid because of changes in composition, pressure, and temperature. To handle a complex crude oil system, these models made some simplifying assumptions that enabled them to make the problem manageable. In doing so, they lose some predictive capability. We found there are two forces that need to be accurately captured— dynamics of the alteration of solubility parameter of the hydrocarbon matrix, and change in entropy of mixing—to model the asphaltene behavior. The latter has been either empirically estimated by extrapolating the ambient titration data or neglected in many of the previous models. The basic parameters for our model can be calculated from lab data generated by titrating the dead crude oil, or oil solvent blends with n-alkanes, at different temperatures. So far, this model has been applied to various field conditions in production facilities and has been found successful in matching the field data.
Seismic attributes on frequency‐enhanced seismic data (2010)

Seismic data are usually contaminated by both random and coherent noise, even when the data have been migrated reasonably well and are multiple‐free. Seismic attributes are particularly effective at extracting subtle features from relatively noise‐free data. Certain types of noise can be addressed by the interpreter through careful structure‐oriented filtering or post migration footprint suppression. However, if the data are contaminated by multiples or are poorly focused and imaged due to inaccurate velocities, the data need to go back to the processing team to alleviate those problems. Another common problem with seismic data is their relatively low bandwidth. Significant efforts are made during processing to enhance the frequency content of the data as much as possible to provide a spectral response that is consistent with the acquisition parameters. Ironically, the interpreters can be somewhat more aggressive in their filtering. The interpreters will have a better understanding of the geology, the play concept, access to any well data, and therefore be better able to keep or reject alternative filter products that are consistent or inconsistent with the interpretation hypothesis. We begin our discussion by reviewing alternative means of suppressing random noise on our migrated seismic images, with the most promising methods being various implementations of structure‐oriented filtering. Next, we address acquisition footprint, which may appear to be random in the temporal domain but is highly correlated to the acquisition geometry in the spatial domain. After running the data through the cleaning phase, we evaluate alternative methods for frequency enhancement of the input seismic data. We illustrate the impact of these preconditioning steps on the computation of the attributes such as coherence and curvature on data volumes from Alberta, Canada. We conclude with a summary on the choice of the frequency‐enhancement methods on the basis of the examples generated with different workflows.
2,4,5-Trichlorophenol Degradation Using a Novel TiO<sub>2</sub>-Coated Biofilm Carrier: Roles of Adsorption, Photocatalysis, and Biodegradation (2011)

Intimate coupling of photocatalysis and biodegradation (ICPB) offers potential for degrading biorecalcitrant and toxic organic compounds. This study reports on a novel sponge-type, TiO(2)-coated biofilm carrier that showed significant adherence of TiO(2) and ability to accumulate biomass in its interior. This carrier was tested for ICPB in a continuous-flow photocatalytic circulating-bed biofilm reactor (PCBBR) to mineralize 2,4,5-trichlorophenol (TCP), which is biorecalcitrant. Four mechanisms possibly acting in ICPB were tested separately: TCP adsorption to the carrier, UV photolysis, UV photocatalysis, and biodegradation by biofilm inside the carrier. The carrier exhibited strong TCP adsorption that followed a Freundlich isotherm with an exponent near 2. Whereas UV photolysis was negligible, photocatalysis produced TCP-degradation products that could be mineralized, and the strong adsorption of TCP to the carrier enhanced biodegradation by relieving toxicity. Validating the ICPB concept, biofilm was protected inside the carriers, although biomass originally on the outer surface of the carriers was eliminated. ICPB significantly lowered the diversity of the bacterial community, but five genera known to biodegrade chlorinated phenols (Ralstonia, Bradyrhizobium, Methylobacterium, Cupriavidus, and Pandoraea) were markedly enriched.
Integrated output filter and diode snubber for switchmode power converters (2002)

In this paper, a planar integrated network consisting of a diode rectifier, RC snubber and LC filter is presented. The application of this integrated network in existing topologies is discussed. The design and analysis of the different subcircuits of the integrated network are described, in terms of modelling and physical construction. Some of the materials and manufacturing techniques of the integrated network are discussed. A prototype is constructed and evaluated experimentally.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Classification of premalignant pancreatic cancer mass-spectrometry data using decision tree ensembles (2008)

In our cross validation framework, classifier ensembles generally have better classification accuracies compared to that of a single decision tree when applied to a pancreatic cancer proteomic dataset, thus suggesting its utility in future proteomics data analysis. Additionally, the use of feature selection method allows us to select biomarkers with potentially important roles in cancer development, therefore highlighting the validity of this method.