gebhart/patrepeval huggingface dataset:
Dtrace: Dynamic Tracing in Oracle Solaris, Mac OS X and Freebsd (2011)

The Oracle Solaris DTrace feature revolutionizes the way you debug operating systems and applications. Using DTrace, you can dynamically instrument software and quickly answer virtually any question about its behavior. Now, for the first time, there's a comprehensive, authoritative guide to making the most of DTrace in any supported UNIX environment--from Oracle Solaris to OpenSolaris, Mac OS X, and FreeBSD. Written by key contributors to the DTrace community, DTrace teaches by example, presenting scores of commands and easy-to-adapt, downloadable D scripts. These concise examples generate answers to real and useful questions, and serve as a starting point for building more complex scripts. Using them, you can start making practical use of DTrace immediately, whether you're an administrator, developer, analyst, architect, or support professional. The authors fully explain the goals, techniques, and output associated with each script or command. Drawing on their extensive experience, they provide strategy suggestions, checklists, and functional diagrams, as well as a chapter of advanced tips and tricks. You'll learn how to Write effective scripts using DTrace's D language Use DTrace to thoroughly understand system performance Expose functional areas of the operating system, including I/O, filesystems, and protocols Use DTrace in the application and database development process Identify and fix security problems with DTrace Analyze the operating system kernel Integrate DTrace into source code Extend DTrace with other tools This book will help you make the most of DTrace to solve problems more quickly and efficiently, and build systems that work faster and more reliably.
Sequential decision rules for managing nematodes with crop rotations. (1996)

A dynamic model of nematode populations under a crop rotation that includes both host and nonhost crops is developed and used to conceptualize the problem of economic control. The steady state of the dynamic system is used to devise an approximately optimal decision policy, which is then applied to cyst nematode (Heterodera schachtii) control in a rotation of sugarbeet with nonhost crops. Long-run economic returns from this approximately optimal decision rule are compared with results from solution of the exact dynamic optimization model. The simple decision rule based on the steady state provides long-run average returns that are similar to the fully optimal solution. For sugarbeet and H. schachtii, the simplified rule can be calculated by maximizing a relatively simple algebraic expression with respect to the number of years in the sequence of nonhost crops. Maximization is easy because only integers are of interest and the number of years in nonhost crops is typically small. Solution of this problem indirectly yields an approximation to the optimal dynamic economic threshold density of nematodes in the soil. The decision rule requires knowledge of annual nematode population change under host and nonhost crops, and the relationship between crop yield and nematode population density.
Model selection techniques for the covariance matrix for incomplete longitudinal data (1995)

In longitudinal studies with incomplete data, where the number of time points can become numerous, it is often advantageous to model the covariance matrix. We describe several covariance models (for example, mixed models, compound symmetry, AR(1)-type models, and combination models) that offer parsimonious alternatives to unstructured sigma. We evaluate each covariance model with longitudinal data concerning cholesterol as the repeated outcome measure. We discuss strategies for deciding the 'best' model and show a graphical technique for judging goodness-of-fit of covariance models.
Distributed cooperative MIMO in beyond 2020 wireless networks. (2016)

Mobile communication systems are currently being developed with the aim of providing peak data rates up to 20 times higher to those of Long Term Evolution (LTE)-Advanced Release 10. However, this performance improvement is often far from being the experimented performance by all users, especially, for those users who are far from the base station. In this sense, there exists a consensus within the international scientific community on the fact that the best way to achieve the same quality for all users is with the use of heterogeneous networks composed of macrocells, microcells, femtocells, and relays.
QRS Complex Detection by Non Linear Thresholding of Modulus Maxima (2010)

Electrocardiogram (ECG) signal is used to analyze the cardiovascular activity in the human body and has a primary role in the diagnosis of several heart diseases. The QRS complex is the most distinguishable component in the ECG. Therefore, the accuracy of the detection of QRS complex is crucial to the performance of subsequent machine learning algorithms for cardiac disease classification. The aim of the present work is to detect QRS wave from ECG signals. Wavelet transform filtering is applied to the signal in order to remove baseline drift, followed by QRS localization. By using the property of R peak, having highest and prominent amplitude, we have applied thresholding technique based on the median absolute deviation(MAD) of modulus maximas to detect the complex. In order to evaluate the algorithm, the analysis has been done on MIT-BIH Arrhythmia database. The results have been examined and approved by medical doctors.
Network Effect in Complex Market Structures (2007)

We analyze the network effect in a personal communication market using a multi agent model in a network. Using several complex network models, we investigate the dynamics of a market in which two providers are competing as well as the structure of networks that affects the complex behaviors of the market. Through a series of simulations, we show that the structural properties of the complex networks, such as the clustering coefficient and degree correlations, have a major influence on dynamics of the market.
A multipath transmission scheme for the improvement of throughput over SDN (2017)

Nowadays, the demand for data transmission is ever increasing with the increase of network applications. Therefore, how to enhance the performance of data transmission is an issue worthy of in-depth discussion. The throughput of single-path transmission schemes might be throttled by a congested link of its path. In contrast, multipath transmission schemes can utilize the bandwidth resource of several disjoint paths to increase the throughput. In this paper, we proposed a multipath transmission scheme to equally balance the traffic of a flow over the disjoint paths designated by the Software Defined Network (SDN) controller, which is able to learn the topology of the network and discover multiple transmission paths. Simulations were conducted with Mininet to evaluate our proposed transmission scheme. In comparison with the traditional single-path transmission scheme, which always adopts the shortest path, experimental results show that our proposed scheme achieves a significant improvement on performance in terms of transmission throughput.
Chemistry of lignite liquefaction. Quarterly report, July-September 1981 (1981)

A series of lignite liquefaction samples were isolated into asphaltene and preasphaltene fractions to determine what structural differences are observed in the resulting asphaltenes and preasphaltenes. The solvent refined lignite samples were prepared using H/sub 2/-CO and H/sub 2/ with different degrees of dryness of the starting lignite coal. Quantitative cleavage of dialiphatic ethers with an excess of boron tribromide gave two moles of alkyl bromide, some rearranged. The deficiencies of quantitative anisole and xanthene cleavage with sodium were overcome by using potassium. Quantitative analysis of ketonic carbonyl remains a problem. Studies have continued on N,N-dimethylaniline(I) and related compounds. In the conversion on I into toluene under liquefaction conditions, the methyl group occupies the carbon site formerly occupied by nitrogen as determined by the conversion of o, m- and p-methyl phenyl dimethylamines. The reaction is H/sub 2/S pressure dependent at lower H/sub 2/S concentrations. Tetralin retards the H/sub 2/-induced conversion of I but not the H/sub 2/-H/sub 2/S reaction. The combination of H/sub 2/ and H/sub 2/S is more effective than either alone. The appendix has been entered separately.
IOPin: Runtime Profiling of Parallel I/O in HPC Systems (2012)

Many I/O- and data-intensive scientific applications use parallel I/O software to access files in high performance. On modern parallel machines, the I/O software consists of several layers, including high-level libraries such as Parallel netCDF and HDF, middleware such as MPI-IO, and low-level POSIX interface supported by the file systems. For the I/O software developers, ensuring data flow is important among these software layers with performance close to the hardware limits. This task requires understanding the design of individual libraries and the characteristics of data flow among them. In this paper, we propose a dynamic instrumentation framework that can be used to understand the complex interactions across different I/O layers from applications to the underlying parallel file systems. Our preliminary experience indicates that the costs of using the proposed dynamic instrumentation is about 7% of the application execution time.
Acetate Causes Alcohol Hangover Headache in Rats (2010)

Our study shows that acetate contributes to hangover headache. These findings provide insight into the mechanism of hangover headache and the mechanism of headache induction.
Hands-On Machine Learning with R (2019)

Hands-on Machine Learning with R provides a practical and applied approach to learning and developing intuition into today’s most popular machine learning methods. This book serves as a practitioner’s guide to the machine learning process and is meant to help the reader learn to apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to effectively model and gain insight from their data. The book favors a hands-on approach, providing an intuitive understanding of machine learning concepts through concrete examples and just a little bit of theory.  Throughout this book, the reader will be exposed to the entire machine learning process including feature engineering, resampling, hyperparameter tuning, model evaluation, and interpretation. The reader will be exposed to powerful algorithms such as regularized regression, random forests, gradient boosting machines, deep learning, generalized low rank models, and more! By favoring a hands-on approach and using real word data, the reader will gain an intuitive understanding of the architectures and engines that drive these algorithms and packages, understand when and how to tune the various hyperparameters, and be able to interpret model results. By the end of this book, the reader should have a firm grasp of R’s machine learning stack and be able to implement a systematic approach for producing high quality modeling results. Features: ·         Offers a practical and applied introduction to the most popular machine learning methods. ·         Topics covered include feature engineering, resampling, deep learning and more. ·         Uses a hands-on approach and real world data.
An Experimental Study of Cyclic CO2 Injection to Improve Shale Oil Recovery (2014)

Abstract The low recovery and high oil volume remaining in shale oil reservoirs are a strong motivation to investigate the application of enhanced oil recovery methods in these reservoirs. This paper presents the potential of applying cyclic CO2 injection to improve the recovery factors of shale oil reservoirs. Cyclic CO2 injection could be an effective technique to improve the oil recovery of this type of reservoirs for several reasons. It is a single-well process; well-to-well connectivity is not required, the hydraulic and natural fractures provide a large contact area for the injected gas to penetrate and diffuse into the low-permeability matrix; and the payback period of the cyclic CO2 injection process is short compared with the other flooding process. Very limited numerical and laboratory studies are available to study the feasibility of CO2 huff-n-puff for shale oil reservoirs. Latest numerical studies have revealed that CO2 huff-n-puff technique could be an effective method to increase recovery factors of shale oil reservoirs. In order to support the numerical studies results, a laboratory study was conducted using shale cores from Mancos and Eagle Ford. The aim of this study is to evaluate the potential of cyclic CO2 injection. Many design parameters such as soaking period, soaking pressure, and numbers of cycles were considered to evaluate the feasibility of cyclic CO2 injection. The laboratory results indicate that cyclic CO2 injection improved recovery of shale oil cores from 33% to 85% depending on the shale core type and the other operating parameters. These results have shown that cyclic CO2 injection is a promising method to improve the recovery of shale oil reservoirs. Also this study aided to develop a better understanding of the performance of cyclic CO2 in shale oil reservoirs.
Transitional Pitting in Tracheids of Psilotum (1936)

Most of the anatomical studies upon Psilotum have been in connection with the interpretation of the spore-bearing struc-
Simultaneous allele-specific amplification: a strategy using modified primer-template mismatches for SNP detection--application to prothrombin 20210A (factor II) and factor V Leiden (1691A) gene mutations. (2001)

The simultaneous allele-specific amplification method allows simultaneous detection of wild-type and mutant alleles by PCR using four distinct primers. Nucleotide mismatches in the primers reduce competitive amplification.
Superheavy element production, nucleus-nucleus potential and μ-catalysis (2004)

The semi‐microscopic potential between heavy nuclei is evaluated for various colliding ions in the approach of frozen densities in the framework of the extended Thomas‐Fermi approximation with ℏ2 correction terms in the kinetic energy density functional. The proton and neutron densities of each nucleus are obtained in the Hartree‐Fock‐BCS approximation with SkM* parameter set of the Skyrme force. A simple expression for the nuclear interaction potential between spherical nuclei is presented. It is shown that muon bound with light projectile induces the superheavy elements production in nucleus‐nucleus collisions.
The effects of varying the number of cochlear implant electrodes on speech perception. (1987)

The purpose of this investigation was to evaluate the speech perception of a patient fitted with a multichannel processor under different electrode conditions. The subject was evaluated with the speech processor programmed with electrode arrays varying in number from one to nineteen. The results suggested that with an increased number of programmed electrodes, the subject's speech perception improved. Comparisons were also made among three speech processing strategies. The processor was programmed with: (1) one electrode pair that provided fundamental frequency information; (2) nineteen electrode paris that provided fundamental frequency plus second formant information (F0/F2); and (3) nineteen electrode paris that provided fundamental frequency plus first and second formant information (F0/F1F2). The subject did better with the F0/F2 strategy compared to the F0 strategy and best with the F0/F1F2 strategy.
A note on the method of calculating digestibility coefficients of nutrients provided by single ingredients to feeds of aquatic animals (1999)

A commonly used equation for the calculation of the apparent digestibility coefficients of feedstuffs for fish and crustaceans is shown to be incorrect. The correct (but rarely used) equation is presented and contrasted with the previous equation. Data from a previously published trial is used to illustrate the differences between these equations. In many cases, the values obtained using the two equations is very similar. Larger differences are found, however, when the level and digestibility of the nutrient in the test ingredient are greatly different from those in the reference diet.
The deubiquitinating protein USP24 interacts with DDB2 and regulates DDB2 stability (2012)

Damage-specific DNA-binding protein 2 (DDB2) was first isolated as a subunit of the UV-DDB heterodimeric complex that is involved in DNA damage recognition in the nucleotide excision repair pathway (NER). DDB2 is required for efficient repair of CPDs in chromatin and is a component of the CRL4 (DDB2) E3 ligase that targets XPC, histones and DDB2 itself for ubiquitination. In this study, a yeast two-hybrid screening of a human cDNA library was performed to identify potential DDB2 cellular partners. We identified a deubiquitinating enzyme, USP24, as a likely DDB2-interacting partner. Interaction between DDB2 and USP24 was confirmed by co-precipitation. Importantly, knockdown of USP24 in two human cell lines decreased the steady-state levels of DDB2, indicating that USP24-mediated DDB2 deubiquitination prevents DDB2 degradation. In addition, we demonstrated that USP24 can cleave an ubiquitinated form of DDB2 in vitro. Taken together, our results suggest that the ubiquitin-specific protease USP24 is a novel regulator of DDB2 stability.
Plasma-Assisted Atomic Layer Deposition of Palladium (2005)

A method is presented for the atomic layer deposition (ALD) of palladium using remote hydrogen plasma as the reducing source and agent. Palladium was deposited on iridium, tungsten and silicon at 80 °C using a remote inductively coupled hydrogen plasma with palladium(II) hexafluoroacetylacetonate as the precursor. In the case of the Pd film grown on Ir, the carbon and fluorine content were significantly reduced compared to previous thermal ALD results. Use of remote plasma eliminated the noble metal substrate requirement needed for thermal ALD, enabling films to be grown on W and Si. Ultra-thin Pd films grown on W and Si possessed a nearly random texture from reflection high-energy electron diffraction (RHEED) measurements. Atomic force microscopy (AFM) images showed very different surface morphologies for the different substrates suggesting very different substrate film interactions. X-ray photoelectron spectroscopy (XPS) measurements indicate high quality Pd films for all substrates, suggesting the substrate temperature was low enough to prevent dissociation of the hfac ligand and adequate C and F scavenging by the atomic hydrogen. The remote hydrogen plasma source results in the loss of selectivity but growth is evident on every surface used including surfaces that do not react strongly with the Pd precursor and are not catalytic towards the dissociation of molecular hydrogen.
Field profiles of coupled surface plasmon-polaritons (2008)

We present a study of the electromagnetic field profiles for coupled surface plasmon-polariton systems. Results for both the symmetrically-clad thin metal film structure and the metal-clad dielectric cavity are given. We also consider an asymmetrically-clad thin metal-film structure and show that such a structure may also support coupled SPP modes under appropriate conditions. We describe our method for calculating the field profiles in detail. In contrast to previous methods our approach does not require the introduction of an input field, it allows straightforward computation of the field profiles associated with the optical modes of multilayer planar structures.
Performances of a New Correlation Algorithm for a Platform-independent GPS Software Receiver (2009)

Personal Digital Assistants (PDAâs) or mobile phones applications are not anymore restricted to wireless communications or multimedia, but have been extended to handle Global Navigation Satellite System (GNSS) functionalities. Consequently, the growing market of GNSS capable mobile devices is driving the interest of software solutions as they provide several advantages with respect to the conventional hardware architectures currently implemented in the mass market receivers. First, they share the same system resources such as the processor, embedded memory and power with other system units, reducing both the size and the costs of their integration. Second, they can be easily reprogrammed - via firmware updates - for incorporating the latest developments, such as the exploitation of the future GNSS signals or some improved multipath mitigation techniques. Finally, they offer a more flexible solution for rapid research and development as compared to conventional hardware receivers where the chip design is fixed and obtained after a very long integration process. This paper will first introduce the challenges of the software implementation of a GNSS receiver, with a main focus given to the base-band processing and the correlation issues. It will then describe the already existing solutions with their respective advantages and drawbacks, and provide an estimation of their complexity in term of computational load. From this, a new developed algorithm will be introduced, and its performances in term of integer operations needed to perform the correlation analyzed and compared to the other solutions.
<i>Chemical Research in Toxicology</i>—From Strength to Strength (2009)

ADVERTISEMENT RETURN TO ISSUEEditorialNEXTChemical Research in Toxicology—From Strength to StrengthLawrence J. MarnettCite this: Chem. Res. Toxicol. 2009, 22, 1, 1–2Publication Date (Web):January 19, 2009Publication History Received11 December 2008Published online19 January 2009Published inissue 19 January 2009https://doi.org/10.1021/tx800470mCopyright © 2009 American Chemical SocietyRequest reuse permissions This publication is free to access through this site. Learn MoreArticle Views770Altmetric-Citations-LEARN 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 InReddit PDF (51 KB) Get e-AlertscloseSUBJECTS:Color,Mathematical methods,Toxicology Get e-Alerts