gebhart/patrepeval huggingface dataset:
Risk Based Statistical Approach to Predict Casing Leaks (2017)

Abstract This paper will present a statistical risk based approach to proactively predict casing leaks using Electromagnetic (EM) corrosion logs. The corrosion growth of downhole casing hotspots (areas likely to develop casing damage) is monitored to develop expectancy calculations of a typical well's remaining life. Currently the predominant technology used for casing integrity measurement and monitoring are the EM corrosion logging tools. While this technology has provided a step-change in the ability to measure and monitor corrosion, the findings are not usually conclusive and need to be integrated with other data to make qualitative assessment. This is largely due to the nature of the tool's output where averaging is used to assess metal loss rather than direct measurement of the spot where metal loss is taking place. In other words, 50% average metal loss could mean a failure if one part of the casing is completely gone and the other is intact; or 50% metal loss is distributed evenly across the 360 degree circumference of a casing with no leak. This wide range of possibilities and uncertainty has made it extremely challenging to both interpret and analyze EM corrosion logging data. Establishing consistent criteria to classify the corrosion severity and confidently decide on the need to workover the well or not is a challenge to all field operators worldwide. A probabilistic approach was introduced to improve EM corrosion logs' data interpretation. More than five hundred data points were collected and statistically analyzed to build a probability of failure model as a function of EM average metal thickness loss. These models were used to delineate a dynamic safe window of the average metal loss value across multiple casings.
Aberrant septin 11 is associated with sporadic frontotemporal lobar degeneration (2011)

The proteomic discovery of insoluble SEPT11 accumulation in FTLD-U, along with novel pathological associations, highlights a role for this cytoskeleton-associated protein in the pathogenesis of this complex disorder.
Search Personalization Using Machine Learning (2019)

Firms typically use query-based search to help consumers find information/products on their websites. We consider the problem of optimally ranking a set of results shown in response to a query. We propose a personalized ranking mechanism based on a user’s search and click history. Our machine-learning framework consists of three modules: (a) feature generation, (b) normalized discounted cumulative gain–based LambdaMART algorithm, and (c) feature selection wrapper. We deploy our framework on large-scale data from a leading search engine using Amazon EC2 servers and present results from a series of counterfactual analyses. We find that personalization improves clicks to the top position by 3.5% and reduces the average error in rank of a click by 9.43% over the baseline. Personalization based on short-term history or within-session behavior is shown to be less valuable than long-term or across-session personalization. We find that there is significant heterogeneity in returns to personalization as a function of user history and query type. The quality of personalized results increases monotonically with the length of a user’s history. Queries can be classified based on user intent as transactional, informational, or navigational, and the former two benefit more from personalization. We also find that returns to personalization are negatively correlated with a query’s past average performance. Finally, we demonstrate the scalability of our framework and derive the set of optimal features that maximizes accuracy while minimizing computing time. This paper was accepted by Juanjuan Zhang, marketing.
Microporous metal–organic frameworks for acetylene storage and separation (2011)

Acetylene is an important starting material in the petrochemical and electronic industry for various industrial and consumer products, and a promising alternative energy source for future acetylene fuel cell vehicles. Porous metal–organic frameworks have been demonstrated as very practical useful materials for acetylene storage and separation which might provide the solid resolution for the safe storage and transportation of acetylene. Because of the explosive nature of acetylene, strong interactions of the pore surfaces with acetylene are very important to realize high acetylene storage MOFs at room temperature and low pressure, which can be fulfilled by the immobilization of open metal sites. Microporous MOFs having high adsorption affinity and matchable pore size with acetylene molecules have been realized to exhibit high selective C2H2/CO2, C2H2/CH4 and C2H2/C2H4 separation.
CONTRIBUTION TO THE KNOWLEDGE OF γ-AMINOCROTONIC ACID. VINYLOGS OF α-AMINO ACIDS. I (1954)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTCONTRIBUTION TO THE KNOWLEDGE OF γ-AMINOCROTONIC ACID. VINYLOGS OF α-AMINO ACIDS. IK. BALENOVIć, I. JAMBREŠIć, and B. URBASCite this: J. Org. Chem. 1954, 19, 10, 1589–1593Publication Date (Print):October 1, 1954Publication History Published online1 May 2002Published inissue 1 October 1954https://pubs.acs.org/doi/10.1021/jo01375a005https://doi.org/10.1021/jo01375a005research-articleACS PublicationsRequest reuse permissionsArticle Views240Altmetric-Citations8LEARN 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
Towards static type checking for XSLT (2001)

We are concerned about the static type checking problem for XSLT. In the context of XSLT and other XML programming, types are DTDs or schemas, and static type checking is to verify that a program always converts valid source documents into also valid output documents. To achieve static type checking for XSLT, we introduce a subset of XSLT, and an efficient algorithm of backward type inference for that subset. Although our XSLT subset lacks XPath, it includes recursive calls of templates and is powerful enough to capture basic XSLT transformations. Our method is based on Finite Tree Automata (FTA) which provide a rigorous representation of types in XML. Given types of output documents, backward type inference computes types of source documents. The idea of backward type inference is borrowed from Milo et al's work, while we reduce the computational complexity in their framework.
Wireless-Optical Network Convergence: Enabling the 5G Architecture to Support Operational and End-User Services (2017)

This article presents a converged 5G network infrastructure and an overarching architecture to jointly support operational network and end-user services, proposed by the EU 5G PPP project 5G-XHaul. The 5G-XHaul infrastructure adopts a common fronthaul/backhaul network solution, deploying a wealth of wireless technologies and a hybrid active/passive optical transport, supporting flexible fronthaul split options. This infrastructure is evaluated through a novel modeling. Numerical results indicate significant energy savings at the expense of increased end-user service delay.
Current Review of Interventional Cardiology (1997)

Balloon angioplasty Approaches to total coronary occlusion Percutaneous cardiopulmonary bypass support: current techniques and future directions Pharmacologic restenosis trials Thrombolytic therapy Noninvasive assessment of myocardial reperfusion and reocclusion, Percutaneous transluminal coronary angioplasty for acute myocardial infarction Intracoronary stenting Directional atherectomy Percutaneous transluminal coronary rotational angioplasty Laser-assisted angioplasty Transluminal extraction catheter atherectomy Intravascular ultrasound angioplasty Interpretation and application of intracoronary Doppler flow velocity for coronary interventions Revival of pressure gradient measurements New approaches to peripheral artery haemostasis.
Optimal configuration of receivers in an ultrasonic 3D position estimation system by using genetic algorithms (2000)

A novel 3D position estimation system has been developed that uses the difference in the time-of-arrivals (TOA) of an ultrasonic wave from a single transmitter to numerous receivers fixed in 3D space. This is a different approach to traditional systems that use the actual time-of-flights (TOF) from the transmitter to the different receivers and triangulate the position of the transmitter. The new approach makes the system more accurate, makes the transmitter independent of the receivers and does not require the need of calculating the time delay term that is inherent in traditional systems due to delays caused by the electronic circuitry. This paper presents a thorough analysis of receiver configurations in the 2D and 3D system that lead to singularities, i.e. locations of receivers that lead to formulations that can not be solved due to a shortage of information. It provides guidelines of where not to place receivers so as to get a robust system. It further presents a detailed analysis of locations that are optimal, i.e. locations that lead to the most accurate estimation of the transmitter positions. This is accomplished by using genetic algorithms to search for the optimal configurations. The results presented in this paper are not only applicable to ultrasonic systems but all systems that use wave theory, e.g. infrared, laser, etc. This work finds applications in virtual reality cells, robotics, guidance of indoor autonomous vehicles and vibrations.
Ethanol fermentation on glucose/xylose mixture by co-cultivation of restricted glucose catabolite repressed mutants of Pichia stipitis with respiratory deficient mutants of Saccharomyces cerevisiae. (2002)

Restricted glucose catabolite repressed mutants of P. stipiti CCY 39501 were selected using UV irradiation. Four mutants were obtained which assimilated glucose slower than the native strain of P. stipitis and the degree of glucose repression was about 2-fold lower for P5-90-133 and P5-200-16 mutants and about 10-fold lower for P5-80-7 and P5-80-35 mutants. P5-80-7 and P5-80-35 produced very small amounts of ethanol from glucose and xylose, whereas P5-90-133 and P5-200-16 fermented sugars at the wild-type level. These two mutants were selected for co-fermentation process with native strain of S. cerevisiae V30 or Ja(a), as well as with their respiratory deficient mutants. During co-culture process of P. stipitis mutants with native strains of S. cerevisiae the ethanol yields obtained ranged from 0.38 to 0.45 g/g, and this alcohol was produced mainly from glucose. But, when also xylose, besides glucose was fermented to ethanol during co-fermentation of both mutant strains, lower yields of ethanol (0.28-0.40 g/g) were obtained.
Characterization of supercritical fluid extracts from raw wool by TLC‐FID and GC‐MS (2003)

Abstract Extraction selectivity of whole wool wax from raw wool by using ethanol‐modified carbon dioxide at constant pressure (100 bar) and temperature (60°C) was studied. A kinetic study was carried out to optimize the percentage of ethanol and the extraction time. The modified carbon dioxide was decompressed in ethanol as a collection solvent, leading to the formation of two different fractions as a function of their solubility. Qualitative and quantitative analyses of the lipid classes present in the collected fractions were performed by TLC coupled to an automated FID system (TLC‐FID). Moreover, a detailed structural comparison was carried out between the aliphatic high‐molecular‐mass esters and the steryl ester patterns by means of subambient pressure GC‐MS in both the EI and the ammonia positive Cl modes. Considerable differences in the lipid composition of the two wool wax fractions collected were observed by TLC‐FID and GC‐MS.
Etude expérimentale du cliquetis à haut régime (1975)

La première partie de cette étude a consisté à observer et à tenter d'interpréter l'action des conditions de fonctionnement et des paramètres de réglage du moteur sur la tendance au cliquetis à haut régime. On a montré ensuite que les différentes familles chimiques d'hydrocarbures qui constituent les carburants classiques présentent chacune un comportement bien distinct en fonction de la richesse, de la pression et de la température d'admission. On a également étudié l'influence de la teneur en plomb du carburant et du type d'alkyle de plomb employé. Quelques expériences ont été effectuées afin de déterminer l'incidence d'une réduction de un point de taux de compression sur l'exigence en octane à haut régime et sur l'action des caractéristiques de composition du carburant. Enfin, en déterminant le pourcentage de cycles soumis au cliquetis pour différentes avances à l'allumage, il a été possible de fournir quelques indications permettant de mieux caractériser l'intensité du phénomène.
Match Line Sense Amplifiers with Positive Feedback for Low-Power Content Addressable Memories (2006)

Match line sense amplifiers (MLSAs) consume a significant portion of the total power in ternary content addressable memories (TCAMs). In this paper, we present two MLSAs that employ positive feedback techniques to reduce the power consumption. Energy measurement results of the two MLSAs, fabricated with a 144times144 TCAM array in 0.18mum CMOS technology, show a reduction of 56% and 48% respectively over the conventional current-race MLSA
Incorporating hopped spectral gaps into nonrecurrent nonlinear FMCW radar emissions (2015)

The time-varying landscape of spectral congestion is driving the investigation into new forms of “spectrally aware” radar emissions based on passive sensing of the environment. The recent Pseudo-Random Optimized FMCW (PRO-FMCW) framework, which can be viewed as an instantiation of FM noise radar, generates a nonlinear FMCW waveform that does not repeat and is designed using spectrally shaped optimization to improve range sidelobe and spectral containment. Here, these concepts are combined to generate time-varying spectral gaps within the PRO-FMCW waveform to avoid in-band interference. The impact on radar range sidelobe performance is considered with regard to both static and time-varying spectral gaps.
Analysis and design for optical video transport distribution system with video on demand service (1993)

A cost-effective methods of multiplexing, transmitting, and selecting optical video signals is proposed and demonstrated by using appropriate combinations of bidirectional optical trunk-amplifier, medium-density wavelength division multiplexing (WDM) and optical space switching techniques for rapid cost-effective construction. The major factors affecting optical video transport/distribution system design are described. In particular, a tapping-type optical loop-shaped trunk section network is proposed from the viewpoint of system reliability, probability of call-loss, and "B-ISDN with analog overlay." The experimental results and design philosophy for an optical selector composed of WDM filters and space switches connected by silica-based waveguide on a chip are also discussed.
Experimental and Theoretical Investigation of a Nonlinear Vibrational Energy Harvester (2015)

We will present the properties of 42 objects in the group of the most luminous, highest star formation rate LINERs at z= 0.04 - 0.11. We obtained long-slit spectroscopy of the nuclear regions for all sources, and FIR data (Herschel and IRAS) for 13 of them. We measureed emission line intensities, extinction, stellar populations, stellar masses, ages, AGN luminosities, and star-formation rates. We found considerable differences from other low-redshift LINERs, in terms of extinction, and general similarity to star forming galaxies. We confirmed the existence of such luminous LINERs in the local universe, after being previously detected at z ∼0.3 by Tommasin et al. (2012). We found that most of these sources have LAGN ∼ LSF suggesting co-evolution of black hole and stellar mass. In addition, we saw that among local LINERs being on the main-sequence of SF galaxies is related to their AGN luminosity.<br>
On-chip carrier recovery for coherent optical communications using Brillouin filtering (2017)

We demonstrate the first all-optical carrier recovery of coherent signals using on-chip Brillouin gain, replacing digital techniques, with sub-nanosecond latency. This demonstration serves as a proof-of-concept for integrated photonic carrier recovery chips for coherent communications.
Glycyrrhizic Acid as a Novel Drug Delivery Vector: Synergy of Drug Transport and Efficacy (2011)

Supramolecular drug delivery systems (DDS) are widely used in pharmacology during last decades for designing new preparations with improved properties. Most of fundamental and applied research in this field has been devoted to the inclusion complexes with cyclodextrins (CD), which are assumed to possess protective properties and to decrease the hydrophobic behavior of the included molecules. At present a new generation of DDS has been developing. Novel DDS are focused simultaneously on several purposes, including improved bioavailability and stability of drugs, targeted drug delivery, and enhanced activity. One of the compounds that appear to be promising is glycyrrhizic acid (or glycyrrhizin). A number of experimental facts of high therapeutic activity of glycyrrhizin conjugates have been published, but no understanding "how it works" was presented. This manuscript will highlight our attempts to answer this question using physicochemical approach, and also outline the challenges and future opportunities for medical applications of glycyrrhizin conjugates.
Direction of arrival (DOA) determination based on monopulse concepts (2002)

Monopulse is a classical radar technique of precise finding of a source or target. The concept can be used both in radar applications as well as in modern communication techniques. The information contained in antenna sidelobes normally disturbs the determination of DOA in the case of a classical monopulse system. The suitable combination of amplitude- and phase-monopulse algorithm leads to the novel complex monopulse algorithm (CMP), which also can utilise information from the sidelobes by using the phase shift of the signals in the sidelobes in relation to the mainlobes.
Application Servers in E-Commerce Applications (2006)

Nowadays there is a growing demand to develop distributed enterprise level software applications and leverage the flexibility, speed, security and reliability of latest server-side technologies. The Java2 Platform Enterprise Edition (J2EE) technology provides a component-based approach to design, develop, assembly and deploy of enterprise applications. The J2EE platform offers a multi-tiered distributed application model, the ability to reuse components, integrated XML-based data exchange, a security model, and flexible transaction control for application developers. This paper presents an introduction to basic concepts and terms and main advantages of J2EE technology based application servers.
Vivaldi (2004)

Large-scale Internet applications can benefit from an ability to predict round-trip times to other hosts without having to contact them first. Explicit measurements are often unattractive because the cost of measurement can outweigh the benefits of exploiting proximity information. Vivaldi is a simple, light-weight algorithm that assigns synthetic coordinates to hosts such that the distance between the coordinates of two hosts accurately predicts the communication latency between the hosts. Vivaldi is fully distributed, requiring no fixed network infrastructure and no distinguished hosts. It is also efficient: a new host can compute good coordinates for itself after collecting latency information from only a few other hosts. Because it requires little com-munication, Vivaldi can piggy-back on the communication patterns of the application using it and scale to a large number of hosts. An evaluation of Vivaldi using a simulated network whose latencies are based on measurements among 1740 Internet hosts shows that a 2-dimensional Euclidean model with height vectors embeds these hosts with low error (the median relative error in round-trip time prediction is 11 percent).
Associative Learning Disrupted by Impaired G <sub>s</sub> Signaling in <i>Drosophila</i> Mushroom Bodies (1996)

Disruptions in mushroom body (MB) or central complex (CC) brain structures impair Drosophila associative olfactory learning. Perturbations in adenosine 3',5' monophosphate signaling also disrupt learning. To integrate these observations, expression of a constitutively activated stimulatory heterotrimeric guanosine triphosphate-binding protein alpha subunit (Galphas*) was targeted to these brain structures. The ability to associate odors with electroshock was abolished when Galphas* was targeted to MB, but not CC, structures, whereas sensorimotor responses to these stimuli remained normal. Expression of Galphas* did not affect gross MB morphology, and wild-type Galphas expression did not affect learning. Thus, olfactory learning depends on regulated Gs signaling in Drosophila MBs.
Rapid vocal tract length normalization using maximum likelihood estimation (2001)

Recently, vocal tract length normalization (VTLN) techniques have been developed for speaker normalization in speech recognition. This paper proposes a new VTLN method, in which the vocal tract length is normalized in the cepstrum space by means of linear mapping whose parameter is derived using maximumlikelihood estimation. The computational costs of this method are much lower than that of such conventional methods as ML-VTLN, in which the parameter for mapping is selected from among several parameters. Further, the new method offers greater precision in determining parameters for individual speakers. Experimental use of the method resulted in an error reduction rate of 7.1%. A combination of the proposed method with cepstrum mean normalization (CMN) method was also examined and found to reduce the error rate even more, by 14.6%.