gebhart/patrepeval huggingface dataset:
Model-based fault identification of power generation turbine engines using optimal pursuit (2005)

This work presents the results of applying an advanced fault detection and isolation technique to two ground-based power generation turbine engines. The advanced technique uses physics-based model with an optimal pursuit solution method. The technique automatically finds the best fault scenario to match measured (or test) data. The best fault scenario provides information about parameter deviations (i.e., fault detection) and fault-contributing components (i.e., isolation). The technique is independent of the thresholds used in fault detection as in some other techniques. The technique is effective even under the condition where data are scarce and widely spaced in time. Operational data from two Ishikawajima-Harima Heavy Industries (1H1) 1M270 engines were made available to Scientific Monitoring, Inc. (SMI). The purpose of the data is to apply SMI's model-based fault identification expertise to industrial power generation turbines. The investigation was conducted with extremely limited knowledge of the engines and their maintenance histories. The measured variables, provided in the data set, only include speed, air inlet temperature, power, exhaust temperature, fuel flow, and compressor discharge pressure. With these limited engine data, we modified an existing, generic model for turbine engines and developed the optimal pursuit method to "hunt" for suspicious fault states. The detection results were confirmed by the engine manufacturer IH1. The detection accuracy of this technique can be improved with additional data and knowledge about the IHI-IM270 engine. This technique can be readily generalized to fault/state detection of other types of equipment or assets in all industries.
Amikacin Liposome Inhalation Suspension for Treatment-Refractory Lung Disease Caused by <i>Mycobacterium avium</i> Complex (CONVERT). A Prospective, Open-Label, Randomized Study (2018)

<b>Rationale:</b> Improved therapeutic options are needed for patients with treatment-refractory nontuberculous mycobacterial lung disease caused by <i>Mycobacterium avium</i> complex (MAC). <b>Objectives:</b> To evaluate the efficacy and safety of daily amikacin liposome inhalation suspension (ALIS) added to standard guideline-based therapy (GBT) in patients with refractory MAC lung disease. <b>Methods:</b> Adults with amikacin-susceptible MAC lung disease and MAC-positive sputum cultures despite at least 6 months of stable GBT were randomly assigned (2:1) to receive ALIS with GBT (ALIS + GBT) or GBT alone. Once-daily ALIS was supplied in single-use vials delivering 590 mg amikacin to the nebulizer. The primary endpoint was culture conversion, defined as three consecutive monthly MAC-negative sputum cultures by Month 6. <b>Measurements and Main Results:</b> Enrolled patients (ALIS + GBT, <i>n</i> = 224; GBT-alone, <i>n</i> = 112) were a mean 64.7 years old and 69.3% female. Most had underlying bronchiectasis (62.5%), chronic obstructive pulmonary disease (14.3%), or both (11.9%). Culture conversion was achieved by 65 of 224 patients (29.0%) with ALIS + GBT and 10 of 112 (8.9%) with GBT alone (odds ratio, 4.22; 95% confidence interval, 2.08-8.57; <i>P</i> < 0.001). Patients in the ALIS + GBT arm versus GBT alone were more likely to achieve conversion (hazard ratio, 3.90; 95% confidence interval, 2.00-7.60). Respiratory adverse events (primarily dysphonia, cough, and dyspnea) were reported in 87.4% of patients receiving ALIS + GBT and 50.0% receiving GBT alone; serious treatment-emergent adverse events occurred in 20.2% and 17.9% of patients, respectively. <b>Conclusions:</b> Addition of ALIS to GBT for treatment-refractory MAC lung disease achieved significantly greater culture conversion by Month 6 than GBT alone, with comparable rates of serious adverse events. Clinical trial registered with www.clinicaltrials.gov (NCT02344004).
Predicting personality with social media (2011)

Social media is a place where users present themselves to the world, revealing personal details and insights into their lives. We are beginning to understand how some of this information can be utilized to improve the users' experiences with interfaces and with one another. In this paper, we are interested in the personality of users. Personality has been shown to be relevant to many types of interactions; it has been shown to be useful in predicting job satisfaction, professional and romantic relationship success, and even preference for different interfaces. Until now, to accurately gauge users' personalities, they needed to take a personality test. This made it impractical to use personality analysis in many social media domains. In this paper, we present a method by which a user's personality can be accurately predicted through the publicly available information on their Facebook profile. We will describe the type of data collected, our methods of analysis, and the results of predicting personality traits through machine learning. We then discuss the implications this has for social media design, interface design, and broader domains.
Green's functions for a theoretical model of an aperture fed stacked-patch microstrip antenna (1990)

The Greens function kernels in the mixed potential integral equations (MPIEs) used to calculate the current distributions of an aperture-fed stacked-patch microstrip antenna are discussed, along with numerical methods for evaluating the Green's functions. The goal of this analysis is to construct and evaluate the Green's functions used in the MPIEs to calculate the induced electric currents and charge distributions on the antenna patches and feed line, as well as equivalent magnetic current and charge distribution over the aperture, for a given incident current on the feed line. These distributions can then be used to determine the resonant frequency, input impedance, bandwidth, radiation pattern, and other operating characteristics of the aperture-fed stacked-patch microstrip antenna.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Control of mammalian glycogen synthase by PAS kinase (2005)

The regulation of glycogen metabolism is critical for the maintenance of glucose and energy homeostasis in mammals. Glycogen synthase, the enzyme responsible for glycogen production, is regulated by multisite phosphorylation in yeast and mammals. We have previously identified PAS kinase as a physiological regulator of glycogen synthase in Saccharomyces cerevisiae. We provide evidence here that PAS kinase is an important regulator of mammalian glycogen synthase. Glycogen synthase is efficiently phosphorylated by PAS kinase in vitro at Ser-640, a known regulatory phosphosite. Efficient phosphorylation requires a region of PAS kinase outside the catalytic domain. This region appears to mediate a direct interaction between glycogen synthase and PAS kinase, thereby targeting kinase activity to this substrate specifically. This interaction is regulated by the PAS kinase PAS domain, raising the possibility that this interaction (and phosphorylation event) is modulated by the cellular metabolic state. This mode of regulation provides a mechanism for metabolic status to impinge directly on the cellular decision of whether to store or use available energy.
Characterizing the Interaction Among Bullet, Body Armor, and Human and Surrogate Targets (2010)

This study used a combined experimental and modeling approach to characterize and quantify the interaction among bullet, body armor, and human surrogate targets during the 10-1000 μs range that is crucial to evaluating the protective effectiveness of body armor against blunt injuries. Ballistic tests incorporating high-speed flash X-ray measurements were performed to acquire the deformations of bullets and body armor samples placed against ballistic clay and gelatin targets with images taken between 10 μs and 1 ms of the initial impact. Finite element models (FEMs) of bullet, armor, and gelatin and clay targets were developed with material parameters selected to best fit model calculations to the test measurements. FEMs of bullet and armor interactions were then assembled with a FEM of a human torso and FEMs of clay and gelatin blocks in the shape of a human torso to examine the effects of target material and geometry on the interaction. Test and simulation results revealed three distinct loading phases during the interaction. In the first phase, the bullet was significantly slowed in about 60 μs as it transferred a major portion of its energy into the body armor. In the second phase, fibers inside the armor were pulled toward the point of impact and kept on absorbing energy until about 100 μs after the initial impact when energy absorption reached its peak. In the third phase, the deformation on the armor's back face continued to grow and energies inside both armor and targets redistributed through wave propagation. The results indicated that armor deformation and energy absorption in the second and third phases were significantly affected by the material properties (density and stiffness) and geometrical characteristics (curvature and gap at the armor-target interface) of the targets. Valid surrogate targets for testing the ballistic resistance of the armor need to account for these factors and produce the same armor deformation and energy absorption as on a human torso until at least about 100 μs (maximum armor energy absorption) or more preferably 300 μs (maximum armor deformation).
Differential gene expression profiling in human brain tumors (2001)

Gene expression profiling of three human temporal lobe brain tissue samples (normal) and four primary glioblastoma multiforme (GBM) tumors using oligonucleotide microarrays was done. Moreover, confirmation of altered expression was performed by whole cell patch clamp, immunohistochemical staining, and RT-PCR. Our results identified several ion and solute transport-related genes, such as N-methyl-d-aspartate (NMDA) receptors, alpha-amino-3-hydroxy-5-methyl-4-isoxazole propionate (AMPA)-2 receptors, GABA(A) receptor subunits alpha3, beta1, beta2, and beta3, the glutamate transporter, the glutamate/aspartate transporter II, the potassium channel K(V)2.1, hK(V)beta3, and the sodium/proton exchanger 1 (NHE-1), that are all downregulated in the tumors compared with the normal tissues. In contrast, aquaporin-1, possibly aquaporins-3 and -5, and GLUT-3 message appeared upregulated in the tumors. Our results also confirmed previous work showing that osteopontin, nicotinamide N-methyltransferase, murine double minute 2 (MDM2), and epithelin (granulin) are upregulated in GBMs. We also demonstrate for the first time that the cytokine and p53 binding protein, macrophage migration inhibitory factor (MIF), appears upregulated in GBMs. These results indicate that the modulation of ion and solute transport genes and heretofore unsuspected cytokines (i.e., MIF) may have profound implications for brain tumor cell biology and thus may identify potential useful therapeutic targets in GBMs.
Similarity flooding: a versatile graph matching algorithm and its application to schema matching (2003)

Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-business, or even biochemical applications. In this paper we present a matching algorithm based on a fixpoint computation that is usable across different scenarios. The algorithm takes two graphs (schemas, catalogs, or other data structures) as input, and produces as output a mapping between corresponding nodes of the graphs. Depending on the matching goal, a subset of the mapping is chosen using filters. After our algorithm runs, we expect a human to check and if necessary adjust the results. As a matter of fact, we evaluate the 'accuracy' of the algorithm by counting the number of needed adjustments. We conducted a user study, in which our accuracy metric was used to estimate the labor savings that the users could obtain by utilizing our algorithm to obtain an initial matching. Finally, we illustrate how our matching algorithm is deployed as one of several high-level operators in an implemented testbed for managing information models and mappings.
Inhibition of Amino Acid Transport by Sphingoid Long Chain Bases in Saccharomyces cerevisiae (1998)

Sphingoid long chain bases have many effects on cells including inhibition or stimulation of growth. The physiological significance of these effects is unknown in most cases. To begin to understand how these compounds inhibit growth, we have studied Saccharomyces cerevisiae cells. Growth of tryptophan (Trp-) auxotrophs was more strongly inhibited by phytosphingosine (PHS) than was growth of Trp+ strains, suggesting that PHS diminishes tryptophan uptake and starves cells for this amino acid. This hypothesis is supported by data showing that growth inhibition is relieved by increasing concentrations of tryptophan in the culture medium and by multiple copies of the TAT2 gene, encoding a high affinity tryptophan transporter. Measurement of tryptophan uptake shows that it is inhibited by PHS. Finally, PHS treatment induces the general control response, indicating starvation for amino acids. Multiple copies of TAT2 do not protect cells against two other cationic lipids, stearylamine, and sphingosine, indicating that the effect of PHS on tryptophan utilization is specific. Other data demonstrate that PHS reduces uptake of leucine, histidine, and proline by specific transporters. Our data suggest that PHS targets proteins in the amino acid transporter family but not other distantly related membrane transporters, including those necessary for uptake of adenine and uracil.
Models of Anergy in the Human Jurkat T Cell Line (2003)

We investigated two model systems to study anergy in a human T cell line. OKT3 or calcium ionophore stimulation of Jurkat cells, in the absence of costimulation, resulted in a steep reduction in the transcription and secretion of IL-2 in response to subsequent stimulation via CD3 and CD28. Treatment of anergic Jurkat cells with the combination of the phorbol ester, PMA, and ionomycin restored IL-2 production in cells rendered anergic by both mechanisms. However, hydrogen peroxide, which also stimulates kinases downstream of the proposed block that occurs in anergic murine cells, did not reverse the anergic state of these cells induced by either stimulus. The cause of unresponsiveness in these two models was found to differ. OKT3-induced anergy resulted in a substantial down-regulation of the CD3 on these cells. In contrast, anergy induced by treatment with a calcium ionophore did not result in CD3 down-regulation. These data indicate that the Jurkat cell line may serve as a suitable model for studying anergy in human T cells; however, the mechanism by which anergy is induced may vary dramatically in response to these two commonly used anergy-inducing strategies. Understanding the similarities and differences between these two models of anergy may lead to a better overall understanding of the anergic state of the T cell.
Influence of Sulfuric Acid Concentration upon Reaction between Olefins and Benzene (1936)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTInfluence of Sulfuric Acid Concentration upon Reaction between Olefins and BenzeneV. N. Ipatieff, B. B. Corson, and Herman PinesCite this: J. Am. Chem. Soc. 1936, 58, 6, 919–922Publication Date (Print):June 1, 1936Publication History Published online1 May 2002Published inissue 1 June 1936https://pubs.acs.org/doi/10.1021/ja01297a021https://doi.org/10.1021/ja01297a021research-articleACS PublicationsRequest reuse permissionsArticle Views245Altmetric-Citations31LEARN 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
1,4,9,10-Tetrahydroanthracene from the stepwise reduction of 9,10-dihydroanthracene by lithium in ammonia (1967)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXT1,4,9,10-Tetrahydroanthracene from the stepwise reduction of 9,10-dihydroanthracene by lithium in ammoniaRonald G. HarveyCite this: J. Org. Chem. 1967, 32, 1, 238–240Publication Date (Print):January 1, 1967Publication History Published online1 May 2002Published inissue 1 January 1967https://pubs.acs.org/doi/10.1021/jo01277a065https://doi.org/10.1021/jo01277a065research-articleACS PublicationsRequest reuse permissionsArticle Views131Altmetric-Citations11LEARN 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
IMPLEMENTATION OF AN OPTIMIZATION TECHNIQUE FOR IMPROVING POWER QUALITY IN THE DISTRIBUTED SYSTEM (2012)

This paper deals with the Distributed Generation (DG) capacity of the electrical power system. DG capacity is formulated as a Mixed Integer Programming (MIP) problem with respect to various operating constraints in power generation. The objective of this model is to minimize the real power loss by increasing the system voltage profile. DG is used to reduce the line losses, improving system voltage profile. The optimum value of this model is obtained by Lagrangian Relaxation (LR) technique. Lagrangian function gives the optimal value of the DG capacity which is connected in the existing system. The proposed methodology is compared with the other optimization technique Particle Swarm Optimization (PSO) and the results tested through IEEE-30 bus system. Based on numerical calculations and graphical representation, the optimum value of DG is obtained by increasing the maximum loadability of the system.
Pupil tracking with a Hartmann-Shack wavefront sensor (2010)

We present the theoretical background and experimental validation of a pupil tracking method based on measurement of the irradiance centroid of Hartmann-Shack aberrometric images. The experimental setup consists of a Hartmann-Shack (HS) sensor forming over the same camera the images of the eye's pupil and the aberrometric image. The calibration is made by comparing the controlled displacements induced to an artificial eye with the displacements estimated from the centroid of the pupil and of the HS focal plane. The pupil image is also used for validation of the method when operating with human eyes. The experimental results after calibration show a root mean square error of 10.45 mum for the artificial eye and 27, 10, and 6 mum rms for human eyes tested using Hartmann-Shack images, with signal-to-noise ratios of 6, 8, and 11, respectively. The performance of the method is similar to conventional commercial eye trackers. It avoids the need for using separate tracking devices and their associated synchronization problems. This technique can also be used to reprocess present and stored sets of Hartmann-Shack aberrometric images to estimate the ocular movements that occurred during the measurement runs, and, if convenient, to correct the measured aberrations from their influence.
GNeosomes: Highly Lysosomotropic Nanoassemblies for Lysosomal Delivery (2015)

GNeosomes, lysosomotropic lipid vesicles decorated with guanidinoneomycin, can encapsulate and facilitate the cellular internalization and lysosomal delivery of cargo ranging from small molecules to high molecular weight proteins, in a process that is exclusively dependent on cell surface glycosaminoglycans. Their cellular uptake mechanism and co-localization with lysosomes, as well as the delivery, release, and activity of internalized cargo, are quantified. GNeosomes are proposed as a universal platform for lysosomal delivery with potential as a basic research tool and a therapeutic vehicle.
Distributed vehicle state estimation system using information fusion of GPS and in-vehicle sensors for vehicle localization (2011)

This paper proposes a distributed vehicle state estimation system to improve the performance of vehicle positioning using Global Positioning System (GPS) and in-vehicle sensor components. The distributed architecture of the estimation system can reduce the computational complexity of high-order estimation by dividing it into several small-order estimation modules, and simplifies fault detection and isolation problems. The distributed vehicle state estimation algorithm consists of three estimation modules. The first is a longitudinal vehicle state estimation module which estimates the longitudinal vehicle speed and road slope. The road slope estimate is used to compensate for the vertical speed on the sloped road. The second module is a lateral vehicle state estimator which estimates yaw rate, yaw, and side slip angle using an Interacting Multiple Model (IMM) filter. The last is a position estimation module which integrates the vehicle states from the previous two modules with GPS data to obtain more accurate position information. The proposed estimation algorithm was verified through simulation with the aid of a commercial vehicle model. The results demonstrate the efficiency and accuracy of the proposed algorithm.
Learning Hand Articulations by Hallucinating Heat Distribution (2017)

We propose a robust hand pose estimation method by learning hand articulations from depth features and auxiliary modality features. As an additional modality to depth data, we present a function of geometric properties on the surface of the hand described by heat diffusion. The proposed heat distribution descriptor is robust to identify the keypoints on the surface as it incorporates both the local geometry of the hand and global structural representation at multiple time scales. Along this line, we train our heat distribution network to learn the geometrically descriptive representations from the proposed descriptors with the fingertip position labels. Then the hallucination network is guided to mimic the intermediate responses of the heat distribution modality from a paired depth image. We use the resulting geometrically informed responses together with the discriminative depth features estimated from the depth network to regularize the angle parameters in the refinement network. To this end, we conduct extensive evaluations to validate that the proposed framework is powerful as it achieves state-of-the-art performance.