gebhart/patrepeval huggingface dataset:
Diffusion-Dominated Proxy Model for Solvent Injection in Ultra-Tight Oil Reservoirs (2018)

Abstract Enhanced oil recovery (EOR) by solvent injection offers significant potential to increase recovery from shale oil reservoirs, which are typically between 3 and 7% OOIP. The rather sparse literature on this topic typically models these tight reservoirs based on conventional reservoir processes and mechanisms, such as by convective transport using Darcy's law, even though there is little physical justification for this treatment. The literature also downplays the importance of the soaking period in huff'n'puff In this paper we propose for the first time a more physically-realistic recovery mechanism based solely on diffusion-dominated transport. We develop a diffusion-dominated proxy model assuming first-contact miscibility (FCM) to provide rapid estimates of oil recovery for both primary production and the solvent huff'n'soak'n'puff (HSP) process in ultra-tight oil reservoirs. Simplified proxy models are developed to represent the major features of the fracture network. The key results show that diffusion-transport only can reproduce the primary production period within the Eagle Ford shale and model the HSP process well, without the need to use Darcy's law. The mechanism for recovery is based solely on density and concentration gradients. Primary production is a self-diffusion process, while the HSP process is based on counter-diffusion. Incremental recoveries by HSP are several times greater than primary production recoveries, showing significant promise in increasing oil recoveries. We calculate ultimate recoveries for both primary production and for the HSP process, and show that methane injection is preferred over carbon dioxide injection. We also show that the proxy model, to be accurate, must match the total matrix contact area and the ratio of effective to total contact area with time. These two parameters should be maximized for best recovery.
Low-latency scheduling in large switches (2007)

Scheduling in large switches is challenging. Arbiters must operate at high rates to keep up with the high switching rates demanded by multi-gigabit-per-second link rates and short cells. Low-latency requirements of some applications also challenge the design of schedulers. In this paper, we propose the Parallel Wrapped Wave Front Arbiter with Fast Scheduler (PWWFA-FS). We analyze its performance, present simulation results, discuss its implementation, and show how this scheme can provide low latency under light load while scaling to large switches with multi-terabit-per-second throughput and hundreds of ports.
Abstract 13152: A Novel Link between Energy Expenditure, Plasma Lipid Turnover, and Cardiovascular Health (2014)

We previously showed that USF1 transcription factor was associated with familial combined hyperlipidemia in Finns. In the current study, we have conducted a detailed metabolic characterization of Usf1 in mice. We generated a congenic strain of Usf1 knockout mice, fed with high-fat diet for 5 months. The knockouts displayed both elevated cholesterol and phospholipids in their plasma HDL-fractions and lower total and VLDL-triglycerides. This was due to both enhanced TRL clearance linked to elevated LPL activity of the knockouts, and reduced hepatic VLDL secretion. The elevated HDL-C levels were associated with increased efflux capacity of HDL particles derived from Usf1-/- mice. The detailed analysis of Usf1-/- HDL composition revealed an enrichment of phospholipids, known to enhance the efflux capacity of HDL particles. The Usf1-/- mice were protected against HFD induced obesity despite being physically less active and eating more than Usf1+/+ mice. Furthermore, they were protected against insulin resistance, atherosclerosis, and fatty liver. Multiplex measurements revealed a reduction in the cytokines representing vascular inflammation. While absorption of lipids was similar between Usf1-/- and Usf1+/+ mice, the Usf1-/- mice displayed elevated VO2 and VCO2, even in thermoneutral conditions, suggesting an increased metabolic rate. Analysis of post-injection organ distribution of [3H]triolein and [14C] cholesteryl oleate revealed a selective uptake of TRLs to brown adipose tissue in Usf1-/- mice, mediated by an LPL-dependent mechanism, as inhibiting LPL by tetrahydrolipstatin completely eliminated lipoprotein uptake to BAT. There was a dramatic 8-fold reduction in lipid droplet size as well as lipid content of BAT. The protein levels of mitochondrial complex II were elevated in the BAT of Usf1-/- mice. Furthermore, PET/CT measurements demonstrated an increased glucose uptake to BAT of Usf1-/- mice. Together, these findings demonstrate overall avidity of BAT to process energy substrates. Our data establish the critical role of Usf1 as a metabolic master-regulator, and demonstrate that Usf1 deficiency leads to a remarkably beneficial metabolic profile in mice. Our discoveries make USF1 appear a particularly attractive therapeutic target.
Genetic Manipulation of <i>Porphyromonas gingivalis</i> (2007)

Porphyromonas gingivalis, an oral anaerobic bacterium, is an important etiological agent of periodontal disease and may contribute to cardiovascular disease, preterm birth, and diabetes as well. Therefore, genetic studies are of crucial importance in investigating molecular mechanisms of P. gingivalis virulence. Although molecular genetic tools have been available for many bacterial species for some time, genetic manipulations of Porphyromonas species were not developed until more recently and remain limited. In this unit, current molecular genetic approaches for mutant construction in P. gingivalis using the suicide vector pPR-UF1 and the transposon Tn4351 are described, as are protocols for performing electroporation and conjugation. Furthermore, a technique to restore the wild-type phenotype of the mutant by complementation using vector pT-COW is provided. Finally, a description of a noninvasive reporter system allowing the study of gene expression and regulation in P. gingivalis completes this unit.
Enhancing Delaware Basin Stimulation Results Using Nanoparticle Dispersion Technology (2018)

Abstract During 2016 - 2017, the stimulation of several Wolfcamp and Bone Springs targeted wells in the northern Delaware Basin using fracturing treatments and a new method employing relatively small pre-pad pill volumes of nanoparticle dispersions ahead of each stage of treatment have been successfully performed. The liquid nanoparticle dispersion pre-pad pills used in each stage consist of highly surface modified, neutral wet nanoparticles dispersed in small water volumes which penetrate the reservoir's natural fracture and secondary induced fracture network via accelerated diffusion into the reservoir beyond the primary induced fracture network, producing a Brownian motion activated, mechanical advantage process known as disjoining pressure. These neutral wet, solid nanoparticles aid in delivering improved efficacy in the recovery of hydrocarbons via counter-current imbibition by fragmenting the disjoined oil into smaller oil droplets, enabling a more efficient backflow to the propped fracture network and back to the wellbore. The nanoparticle dispersion pre-pad pills are used to introduce the nanoparticle dispersion farther into the reservoir's naturally fractured/permeable matrix network and employ the mechanisms described above to enhance and sustain the mobility of hydrocarbons (overcome confining capillary pressures) back to the propped facture network and subsequently to the wellbore. Advantages of this method and mechanical process are the ability to access the reservoir beyond where proppants can be placed thereby improving the effective stimulated reservoir volume. The evaluation of results in these zones has shown that utilizing the nanoparticle pre-pad pills has resulted in significantly improved performance (20-30 percent higher than the best available technology) compared to over 15 offset wells when normalized with respect to stimulation and production techniques and procedures. The results include significantly higher oil cuts for a longer sustained time periods as well as providing earlier oil to surface after treatment flowback and continued flowing production before requiring artificial lift implementation. While the number of offset wells is greater than nanoparticle dispersion treated wells, the results clearly demonstrate that there is a positive impact as well as persistent improvement factor (EUR) from using the pre-pad nanoparticle dispersion pills ahead of each stage. The liquid nanoparticle dispersion pre-pad pills used in each stage consist of highly surface modified, neutral wet nanoparticles dispersed in small water volumes which penetrates via accelerated diffusion into the reservoir beyond the induced fracture network, producing a Brownian motion activated, mechanical process known as disjoining pressure. These neutral wet, solid nanoparticles aid in delivering improved efficacy in the recovery of hydrocarbons via counter-current imbibition by fragmenting the disjoined oil into smaller oil droplets, enabling a more efficient backflow to the propped fracture network and back to the wellbore.
A Structural Optimization Method Incorporating Level Set Boundary Expressions Based on the Concept of the Phase Field Method (2011)

Topology optimization has been successfully used in many industries, especially those engaged in the design and manufacturing of mechanical devices, but numerical problems are often encountered, such as grayscale representations of obtained composites. A type of structural optimization method using the level set theory for boundary expressions has been proposed, in which the outlines of target structures are implicitly represented using the level set function, and optimal configurations are obtained by updating this function based on the shape sensitivities. Level set-based methods typically have a drawback, however, in that topological changes that increase the number of holes in the material domain are not allowed. To overcome the above numerical and topological problems, this paper proposes a new topology optimization method incorporating level set boundary expressions based on the concept of the phase field method, which we apply to a minimum mean compliance problem. First, a structural optimization problem is formulated based on a boundary expression, using the level set function. Next, a time evolutionary equation for updating the level set function is formulated based on the concept of the phase field method, and the minimum mean compliance problem is formulated using a level set boundary expression. An optimization algorithm for the topology optimization incorporating the level set boundary expression based on the concept of the phase field method is then derived. Several examples are provided to confirm the usefulness of the proposed structural topology optimization method.
A cost-effective disposable graphene-based sensor for sensitive and selective detection of uric acid in human urine (2022)

A rapid and facile method has been developed for uric acid (UA) sensing in human urine. The graphite pencil electrode's (GPE) sensitivity and electrochemical activity for sensing uric acid in human urine were enhanced by the electrochemically reduced graphene oxide on GPE in acetate buffer (ac-dERGO-GPE). Acetate, medium-supported graphene oxide reduction, is more facile, fast, and sensitive than water-dispersed graphene oxide. The surface of the modified and bare electrode was thoroughly investigated using the Fourier transform-infrared (FTIR), Field emission-scanning electron microscopy (FE-SEM), cyclic voltammetry (CV), square wave voltammetry (SWV), and electrochemical impedance spectroscopy (EIS). The electroactive surface area of the modified electrode was significantly improved from 0.0686 cm2 to 0.3615 cm2. The graphene layers greatly enhanced the electroactive surface area and the sensitivity of the ac-dERGO/GPE. A linear response was observed for UA in the range of 0.200 μM–22.0 μM with a 0.996 regression coefficient and a low detection limit of 0.037 μM. The modified electrode retained its response intact in the presence of the potential interferences and successfully applied for UA sensing in human urine. The ac-dERGO/GPE sensor, due to its facile fabrication, low cost, excellent sensitivity, and high selectivity could be a potential candidate for trace level quantification of uric acid in human urine.
Superresolution reconstruction through object modeling and parameter estimation (1989)

A method based on object modeling and parameter estimation is proposed to achieve superresolution reconstruction. An efficient method for solving for the model parameters is given that uses linear prediction theory and linear least squares fitting. Reconstruction results from simulated and real magnetic resonance data are also presented to demonstrate its capability for Gibbs ringing reduction and resolution enhancement.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
<title>Pulsed liquid microjet for microsurgical applications</title> (2001)

The precision of soft tissue dissection with pulsed lasers in endo-microsurgery is typically limited by collateral damage from vapor bubbles created during energy deposition. Expansion and collapse of the cavitation bubble introduces collateral damage extending far beyond the primary energy deposition zone in both, axial and radial directions. We present an alternative technique that allows for creating of only axial pulsed liquid flow with well-defined radial dimensions and axial velocity.
Common-offset depth migration as a velocity analysis tool (1990)

Abstract We imaged the Marmousi dataset using an efficient Kirchhoff prestack depth migration algorithm combined with a layer-stripping velocity analysis technique.
The Global Metronome: Absolute Tempo Sync For Networked Musical Performance (2016)

At a time in the near future, many computers (including devices such as smart-phones) will have system clocks that are synchronized to a high degree (less than 1 ms of error). This will enable us to coordinate events across unconnected devices with a degree of accuracy that was previously impossible. In particular, high clock synchronization means that we can use these clocks to synchronize tempo between humans or sequencers with little-to-no communication between the devices. To facilitate this low-overhead tempo synchronization, we propose the Global Metronome, which is a simple, computationally cheap method to obtain absolute tempo synchronization. We present experimental results demonstrating the effectiveness of using the Global Metronome and compare the performance to MIDI clock sync, a common synchronization method. Finally, we present an open source implementation of a Global Metronome server using a GPS-connected Raspberry Pi that can be built for under $100.
Nuclear DNA Sensor IFI16 as Circulating Protein in Autoimmune Diseases Is a Signal of Damage that Impairs Endothelial Cells through High-Affinity Membrane Binding (2013)

IFI16, a nuclear pathogenic DNA sensor induced by several pro-inflammatory cytokines, is a multifaceted protein with various functions. It is also a target for autoantibodies as specific antibodies have been demonstrated in the sera of patients affected by systemic autoimmune diseases. Following transfection of virus-derived DNA, or treatment with UVB, IFI16 delocalizes from the nucleus to the cytoplasm and is then eventually released into the extracellular milieu. In this study, using an in-house capture enzyme-linked immunsorbent assay we demonstrate that significant levels of IFI16 protein can also exist as circulating form in the sera of autoimmune patients. We also show that the rIFI16 protein, when added in-vitro to endothelial cells, does not affect cell viability, but severely limits their tubulogenesis and transwell migration activities. These inhibitory effects are fully reversed in the presence of anti-IFI16 N-terminal antibodies, indicating that its extracellular activity resides within the N-terminus. It was further demonstrated that endogenous IFI16 released by apoptotic cells bind neighboring cells in a co-culture. Immunofluorescence assays revealed existence of high-affinity binding sites on the plasma membrane of endothelial cells. Free recombinant IFI16 binds these sites on HUVEC with dissociation constant of 2.7 nM, radioiodinated and unlabeled IFI16 compete for binding sites, with inhibition constant (Ki) of 14.43 nM and half maximal inhibitory concentration (IC50) of 67.88 nM; these data allow us to estimate the presence of 250,000 to 450,000 specific binding sites per cell. Corroborating the results from functional assays, this binding could be completely inhibited using anti-IFI16 N-terminal antibody, but not with an antibody raised against the IFI16 C-terminal. Altogether, these data demonstrate that IFI16 may exist as circulating protein in the sera of autoimmune patients which binds endothelial cells causing damage, suggesting a new pathogenic and alarmin function through which this protein triggers the development of autoimmunity.
Optimal design of signaling networks for Internet telephony (2002)

We present an approach for efficient design of a signaling network for a network of software switches supporting Internet telephony. While one may take an integer programming approach to solve this problem, it quickly becomes intractable even for modest-sized networks. Instead, our topology design uses random graphs that we show to be nearly optimal in cost, highly connected, and computationally efficient even for large networks. We then formulate a quadratic assignment problem (QAP) to map the abstract topology into the physical network to achieve optimal load balancing for given demand forecasts, which we solve using randomized heuristics. Numerical results on several example networks illustrate the performance and computational efficiency of our method. A graphical design tool has been developed based on our algorithms.
Luminescence in polymeric insulation and its implication on insulation aging (2002)

This paper describes the characteristics of three types of light emission that can occur from polymeric insulation subjected to uniform and divergent electric fields and/or high temperature. 1. Electroluminescence (EL), which is the light emitted at points of electric stress enhancement in the polymer occurs much before partial discharges (PD). EL can occur at cryogenic temperatures and at and above room temperatures. 2. Light emission which occurs from the surface of the polymeric insulation due to electron bombardment at high electric stress in high vacuum. 3. Thermoluminescence (TL), i.e. emission of light at elevated temperatures (>50/spl deg/C) caused by the presence of crosslinking byproducts in cable insulation. No electric stress is required for TL emission. The implications of light emission on polymer degradation and additives that have been successfully used to retard degradation are described.
Rewritable Holographic 3D Displays (2008)

Get PDF Email Share Share with Facebook Tweet This Post on reddit Share with LinkedIn Add to CiteULike Add to Mendeley Add to BibSonomy Get Citation Copy Citation Text N. Peyghambarian, Savas Tay, Pierre-Alexandre Blanche, Robert Norwood, and Michiharu Yamamoto, "Rewritable Holographic 3D Displays," Optics & Photonics News 19(7), 22-27 (2008) Export Citation BibTex Endnote (RIS) HTML Plain Text Citation alert Save article
A prototype VLSI chip architecture for JPEG image compression (1995)

In this paper, we describe the design and implementation of a prototype single chip VLSI architecture for implementing the JPEG baseline image compression standard. The chip exploits the principles of pipelining and parallelism to the maximum extent in order to obtain high speed and throughput. The architecture for discrete cosine transform and the entropy encoder are based on efficient algorithms designed for high speed VLSI implementation. The chip was implemented using the Cadence tools and based on the prototype implementation the proposed chip architecture can yield a clock rate of about 100 MHz which would allow an input rate of 30 frames per second for 1024/spl times/1024 color images. >
Polarization Echoes Based on Scatter De-correlation in Polarization Maintaining Fiber (2007)

High-resolution optical frequency domain reflectometry is used to observe fading of the polarization beat signature of PM fiber. Through dispersion management, a beat echo is observed at a later point in a fiber under test.
FAST REGULARIZED RECONSTRUCTION OF NON-UNIFORMLY SUBSAMPLED PARTIAL-FOURIER PARALLEL MRI DATA (2007)

We present an adaptation of our previous fast, regularized parallel MRI reconstruction approach (LSQR-hybrid) to encompass the reconstruction of partial-Fourier data. Reconstructions of partial-Fourier data require a constraint on the signal phase variation in the reconstructed image. Here, we employ a two-parameter Tikhonov regularization formulation to constrain the real and imaginary components separately. A variation of the LSQR-hybrid algorithm is used to rapidly reconstruct a set of images across the two-dimensional regularization parameter search space. The "best" image available is chosen as the one with the least system error using the most regularization. Results are demonstrated with subsampled parallel MR data acquired on a 1.5 T MRI system.
A progesterone biosensor derived from microbial screening (2020)

Bacteria are an enormous and largely untapped reservoir of biosensing proteins. We describe an approach to identify and isolate bacterial allosteric transcription factors (aTFs) that recognize a target analyte and to develop these TFs into biosensor devices. Our approach utilizes a combination of genomic screens and functional assays to identify and isolate biosensing TFs, and a quantum-dot Förster Resonance Energy Transfer (FRET) strategy for transducing analyte recognition into real-time quantitative measurements. We use this approach to identify a progesterone-sensing bacterial aTF and to develop this TF into an optical sensor for progesterone. The sensor detects progesterone in artificial urine with sufficient sensitivity and specificity for clinical use, while being compatible with an inexpensive and portable electronic reader for point-of-care applications. Our results provide proof-of-concept for a paradigm of microbially-derived biosensors adaptable to inexpensive, real-time sensor devices.
Regiospecific aryl nitration of meso-substituted tetraarylporphyrins: a simple route to bifunctional porphyrins (1989)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTRegiospecific aryl nitration of meso-substituted tetraarylporphyrins: a simple route to bifunctional porphyrinsWilliam J. Kruper Jr., Thomas A. Chamberlin, and Monica KochannyCite this: J. Org. Chem. 1989, 54, 11, 2753–2756Publication Date (Print):May 1, 1989Publication History Published online1 May 2002Published inissue 1 May 1989https://pubs.acs.org/doi/10.1021/jo00272a057https://doi.org/10.1021/jo00272a057research-articleACS PublicationsRequest reuse permissionsArticle Views3789Altmetric-Citations189LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access optionsGet e-Alertsclose Get e-Alerts