gebhart/patrepeval huggingface dataset:
Vector Auto Regression (VAR) Model for Evaluating how RMB Appreciation Effects on PMI (2013)

PMI is an important economic index to measure future development trend of manufacturing market. In this paper, we make a statistical analysis of PMI index and RMB real effective exchange rate data from January 2008 to December 2012, and then we construct the VAR model and make the granger test. The results show the increase of the RMB exchange rate will cause manufacturing PMI index declined, so RMB exchange rate has obvious influence to the manufacturing, and PMI index rise will promote the exchange rate for a small amplitude rise, that means manufacturing expansion also bring pressure to RMB appreciation at the same time.
Effect of Intralipid on measurements of total hemoglobin and oxyhemoglobin in whole blood (1984)

A co-oximeter study of whole blood samples containing Intralipid concentrations of 100 to 2000 mg/dl found that the light-scattering effect was greater at lower hematocrits. The methemoglobin reading was affected the most, and led to erroneous displays of total hemoglobin and percent oxyhemoglobin. The O2-content value, however, was accurate over the entire hematocrit and Intralipid concentration range tested. We suggest that an unexplained high methemoglobin value in whole blood samples from patients receiving Intralipid may reflect a light-scattering problem in the instrument.
InP-based HEMTs with a cutoff frequency higher than 450 GHz (2003)

InP-based InGaAs/InAlAs high electron mobility transistors (HEMTs) are currently the fastest transistors, and are one of the most promising devices that can operate in up to submillimeter-wave frequency range. In this paper the authors report an extremely high f/sub t/ of 472 GHz in 30-nm-gate lattice-matched InGaAs/InAlAs HEMTs achieved by shortening the lateral gate-recess while maintaining a short gate-to-channel distance. They also established that L/sub rd/ rather than the L/sub rs/ is more critical to higher f/sub t/ by using asymmetrically recessed-gate HEMTs. The results of Monte Carlo simulation clearly showed that the enhancement in electron overshoot velocity under the gate was due to the higher lateral electric field at the drain end of the gate for the HEMTs with a shorter L/sub gd/.This f/sub t/ is the highest value yet reported for any transistor.
Implications of the impact of prevalence on test thresholds and outcomes: lessons from tuberculosis (2012)

Prevalence affects test performance for given sensitivity and specificity values. To optimize test performance, disease prevalence should be incorporated in testing decisions, and sensitivity and specificity should be set locally, not globally. In lower-prevalence settings, using highly specific assays may optimize outcomes.
Accurate characterization of image intensifier distortion (1991)

Image intensifier distortion due to photocathode curvature and electron optics is shown to be approximated by a simple two parameter odd-power polynomial. The accuracy of this fit was found to be far better than that of two other one parameter characterizations of distortion when applied to experimental data from four different model image intensifiers ranging in diameter from 9 to 14 in. The standard errors of the two parameters fits were less than 0.1 mm or 0.03% of the field of the IIs and were within the estimated measurement error.
The DNA-binding specificity of the hepatocyte nuclear factor 3/forkhead domain is influenced by amino-acid residues adjacent to the recognition helix. (1994)

Three distinct hepatocyte nuclear factor 3 (HNF-3) proteins (HNF-3 alpha, -3 beta, and -3 gamma) are known to regulate the transcription of liver-specific genes. The HNF-3 proteins bind to DNA as a monomer through a modified helix-turn-helix, known as the winged helix motif, which is also utilized by a number of developmental regulators, including the Drosophila homeotic forkhead (fkh) protein. We have previously described the isolation, from rodent tissue, of an extensive family of tissue-specific HNF-3/fkh homolog (HFH) genes sharing homology in their winged helix motifs. In this report, we have determined the preferred DNA-binding consensus sequence for the HNF-3 beta protein as well as for two divergent family members, HFH-1 and HFH-2. We show that these HNF-3/fkh proteins bind to distinct DNA sites and that the specificity of protein recognition is dependent on subtle nucleotide alterations in the site. The HNF-3, HFH-1, and HFH-2 consensus binding sequences were also used to search DNA regulatory regions to identify potential target genes. Furthermore, an analysis of the DNA-binding properties of a series of HFH-1/HNF-3 beta protein chimeras has allowed us to identify a 20-amino-acid region, located adjacent to the DNA recognition helix, which contributes to DNA-binding specificity. These sequences are not involved in base-specific contacts and include residues which diverge within the HNF-3/fkh family. Replacement of this 20-amino-acid region in HNF-3 beta with corresponding residues from HFH-1 enabled the HNF-3 beta recognition helix to bind only HFH-1-specific DNA-binding sites. We propose a model in which this 20-amino-acid flanking region influences the DNA-binding properties of the recognition helix.
Adaptive web sites (2006)

Adaptive web sites have been proposed to enhance ease of navigation and information retrieval. A variety of approaches are described in the literature, but consideration of interface presentation issues and realistic user studies are generally lacking. We report here a large-scale study of sites with dynamic information collections and user interests, where adaptation is based on an Ant Colony Optimization technique. We find that most users were able to locate information effectively without needing to perform explicit searches. The behavior of users who did search was similar to that on Internet search engines. Simulations based on site and user models give insight into the adaptive behavior and correspond to observations.
A Quadrature Sinusoidal Oscillator With Phase-Preserving Wide-Range Linear Frequency Tunability and Frequency-Independent Amplitude (2006)

A G <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">m</sub> -C architecture for a quadrature sinusoidal oscillator with phase-preserving wide-range linear frequency tunability is discussed. The topology is characterized by low harmonic distortion, as well as controlled and stable amplitude of oscillation that is independent of the oscillation's frequency and instantaneous frequency changes. The architecture has been implemented for acoustic sonar applications using general-purpose discrete bipolar transistors. The phase-preserving frequency control makes the architecture appropriate for continuous-phase frequency-shift keying modulators as well. Measurements and simulation results are presented and found in good agreement with theory
A convenient and adaptable package of DNA sequence analysis programs for microcomputers (1982)

We describe a package of DNA data handling and analysis programs designed for microcomputers. The package is convenient for immediate use by persons with little or no computer experience, and has been optimized by trial in our group for a year. By typing a single command, the user enters a system which asks questions or gives instructions in English. The system will enter, alter, and manage sequence files or a restriction enzyme library. It generates the reverse complement, translates, calculates codon usage, finds restriction sites, finds homologies with various degrees of mismatch, and graphs amino acid composition or base frequencies. A number of options for data handling and printing can be used to produce figures for publication. The package will be available in ANSI Standard FORTRAN for use with virtually any FORTRAN compiler.
Machine Learning Techniques for Arterial Pressure Waveform Analysis (2013)

The Arterial Pressure Waveform (APW) can provide essential information about arterial wall integrity and arterial stiffness. Most of APW analysis frameworks individually process each hemodynamic parameter and do not evaluate inter-dependencies in the overall pulse morphology. The key contribution of this work is the use of machine learning algorithms to deal with vectorized features extracted from APW. With this purpose, we follow a five-step evaluation methodology: (1) a custom-designed, non-invasive, electromechanical device was used in the data collection from 50 subjects; (2) the acquired position and amplitude of onset, Systolic Peak (SP), Point of Inflection (Pi) and Dicrotic Wave (DW) were used for the computation of some morphological attributes; (3) pre-processing work on the datasets was performed in order to reduce the number of input features and increase the model accuracy by selecting the most relevant ones; (4) classification of the dataset was carried out using four different machine learning algorithms: Random Forest, BayesNet (probabilistic), J48 (decision tree) and RIPPER (rule-based induction); and (5) we evaluate the trained models, using the majority-voting system, comparatively to the respective calculated Augmentation Index (AIx). Classification algorithms have been proved to be efficient, in particular Random Forest has shown good accuracy (96.95%) and high area under the curve (AUC) of a Receiver Operating Characteristic (ROC) curve (0.961). Finally, during validation tests, a correlation between high risk labels, retrieved from the multi-parametric approach, and positive AIx values was verified. This approach gives allowance for designing new hemodynamic morphology vectors and techniques for multiple APW analysis, thus improving the arterial pulse understanding, especially when compared to traditional single-parameter analysis, where the failure in one parameter measurement component, such as Pi, can jeopardize the whole evaluation.
The sonochemistry of zinc powder (1989)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTThe sonochemistry of zinc powderKenneth S. Suslick and Stephen J. DoktyczCite this: J. Am. Chem. Soc. 1989, 111, 6, 2342–2344Publication Date (Print):March 1, 1989Publication History Published online1 May 2002Published inissue 1 March 1989https://pubs.acs.org/doi/10.1021/ja00188a081https://doi.org/10.1021/ja00188a081research-articleACS PublicationsRequest reuse permissionsArticle Views455Altmetric-Citations88LEARN 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 and comparison of different under frequency load-shedding schemes (2001)

In the context of power system restructuring, the maintaining of adequate levels of security and reliability will be operated also through direct load control, thus considering load as the potential provider of ancillary services such as regulation, load-following, frequency responsive spinning reserve. In any case load-shedding still remains the ultimate resource for emergency conditions. In the paper several load-shedding schemes for underfrequency operation are examined. Both traditional schemes, based only on frequency thresholds, and adaptive schemes, based on frequency and on its rate of change, are considered. An IEEE test system for reliability analysis is used to compare the behavior of the proposed schemes when selecting different thresholds and percentages of load to be disconnected. Results are reported into detail and considerations on possible advantages and drawbacks also related to the framework provided by the electricity market are presented.
Proteinase‐activated receptor‐4: evaluation of tethered ligand‐derived peptides as probes for receptor function and as inflammatory agonists <i>in vivo</i> (2004)

1. We evaluated the ability of a number of peptides based on the tethered ligand sequences of human, rat and murine proteinase-activated receptor-4 (PAR(4)), to serve as receptor-activating probes or antagonists for bioassays carried out in vitro and for in vivo models of inflammation. 2. In a rat PAR(4)-dependent platelet aggregation assay, the relative potencies of the active sequences (AYPGKF-NH(2)>GYPGKF-NH(2)>GYPGFK-NH(2)>GFPGKP-NH(2)) were consistent with an activation of PAR(4). 3. In the aggregation assay, the reverse or partial reverse-sequence peptides (VQGPYG-NH(2), YAPGKF-NH(2) and FKGPYA-NH(2)) were inactive, while trans-cinnamoyl (Tc)-YPGKF-NH(2), Tc-APGKF-NH(2) and N-palmitoyl-SGRRYGHALR-NH(2) (pepducin P4pal-10) were antagonists. 4. However, in an endothelium-dependent NO-mediated rat aorta (RA) relaxation assay and in a gastric longitudinal muscle (LM) contraction assay, these antagonist peptides were agonists as were most other peptides, with distinct orders of potencies that differed for both the RA and LM assays and from the platelet assay. 5. We conclude that PAR(4)-derived tethered ligand peptide agonists can act at receptors other than PAR(4) and that a judicious choice of ligands is required to probe for PAR(4) function in bioassay systems and in particular for in vivo models. 6. By selecting from these peptides the ones most reliably reflecting PAR(4) activation (AYPGKF-NH(2) as a standard agonist; YAPGKF-NH(2) as a PAR(4)-inactive standard), we were able to establish an inflammatory role for the PAR(4)-activating peptides acting via a non-neurogenic mechanism in a rat paw oedema model.
Primary recycling of anhydride‐cured engineering epoxy using alcohol solvent (2018)

Recycling of engineering thermosets is extremely difficult for conventional techniques due to their crosslinked networks. In this study, we demonstrated a new recycling approach for anhydride‐cured engineering epoxy. After soaking the epoxy networks in alcohol solvent mixed with transesterification catalyst, both solvent and catalyst molecules diffused inside, broke the ester bonds on the chain backbone through bond exchange reactions, and eventually decomposed the networks. The ester covalent bonds would be reformed as evaporating the solvent, and the dissolved polymer solution was re‐polymerized into near‐identical networks. When compared with existing recycling approaches, the proposed one is advantageous for its low cost, zero pollution, low temperature (160°C), and ambient pressure during operation. Epoxy networks with different amount of anhydride cross‐linkers were synthesized, and the influences of solvent choice, network stoichiometry, and crosslinking density on the recycling rate were studied. Specifically, the dissolution rate of epoxy samples was evaluated by their weight loss in two types of alcohol solvents, and the re‐polymerization rate was evaluated by the increment of solution viscosity and network modulus. Thermomechanical properties of recycled epoxy were compared with those of native samples. Finally, the dissolution and re‐polymerization cycles were performed for multiple times to investigate the repeatability. POLYM. ENG. SCI., 59:E111–E119, 2019. © 2018 Society of Plastics Engineers
Applicability of Clustering and Classification Algorithms for Recruitment Data Mining (2010)

Recruitment of appropriate employees and their retention are the major concerns towards creating the competitive strength in the knowledge economy. Every year IT companies recruit fresh graduates through their campus selection programs after examining their skills by conducting tests, group discussion and a number of interviews. The recruitment process requires enormous amount of effort and investment. During each phase of the recruitment process, candidates are filtered based on some performance criteria. Intense analysis on the system indicates that a pattern exists among the candidates selected for an industry. The problem domain is complex and the aspects of candidates that impact the recruitment process is not explicit. In this research, the domain knowledge is extracted through knowledge acquisition techniques. Data mining techniques that fit the problem are determined. A study has been made by applying K-means and fuzzy C-means clustering and decision tree classification algorithms to the recruitment data of an industry. Experiments were conducted with the data collected from an IT industry to support their hiring decisions. Pruned and unpruned trees were constructed using ID3, C4.5 and CART algorithms. From the comparative study, it has been observed that the clustering algorithms are not much suitable for the problem and performance of the C4.5 decision tree algorithm is high. Using the constructed decision trees, discussions were made with the domain experts to deduce viable decision rules.
Development of New Three Component Photo-Polymerization Systems Efficient Even Near the Infrared Region (2002)

Abstract Several visible light initiators of polymerization have been reported mainly as a two component system consisting of a radical-generator and a sensitizing dye possessing absorption bands from 400 to 550 nm. Electron transfer from the excited dye to the radical-generator has been proposed for the two component system. For the purpose of improving the sensitivity and extending light wave length up to near the infrared region, a three component visible light-initiating system has been explored— the combination of a bimolecular visible light-initiating system and electron-donating subsidiary additives. We think if electron transfer from the donor to the excited dye takes place, the dye radical would be generated before the de-excitation of the dye. The generated dye radical should be a better electron donor to the radical-generator because the de-excitation process is blocked by filling the singly occupied HOMO of the excited dye. We tested electron donors such as ferrocene, ruthenocene, (E)-9-julolidinylruthenocenylethylene (E-J-Ru), and p-dimethylaminocinnamylruthenocen (E-DA-Ru) as the electron-donating additives, various sensitizing dyes, and radical generators. When E-J-Ru or E-DA-Ru, the cyanine dyes, and 2,4,6-tris(trichloromethyl)-1,3,5-triazine TCT were selected, the new three component system worked more efficiently than the corresponding two component system, even near the infrared region.
THE Just Limitation of Slavery (2013)

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The use of probiotics in the treatment of irritable bowel syndrome: two case reports. (2005)

THE USE OF PROBIOTICS FOR IRRITABLE BOWEL SYNDROME Researchers have noted a correlation between the onset of IBS and a recent episode of gastroenteritis or the recent use of antibiotics. It has been postulated that this antecedent causes a disruption in the qualitative nature of the colonic microflora and may predispose an individual to low-level inflammation and the development of IBS. Collins et al reported an increased number of inflammatory cells in the intestinal mucosa of some IBS patients, and suggested that these flora alterations result in a subgroup of IBS sufferers who had “minimal mucosal inflammation.” Other human and animal studies support the concept that inflammation may disturb gastrointestinal reflexes and activate the visceral sensory system even when the inflammatory response is minimal and confined to the mucosa. Evidence also suggests that microflora from patients with IBS may differ quantitatively from those who do not have the syndrome. Balsari et al reported a significant decrease in the number of coliforms, lactobacilli, and, to a lesser extent, bifidobacteria in patients with IBS compared to controls. Si et al reported that compared to matched controls, the number of fecal bifidobacteria was significantly decreased and that of Enterobacteriaceae was significantly increased in IBS sufferers. Additionally, King et al reported increased gas fermentation and gas production in patients diagnosed with IBS compared to controls, which they postulated may be associated with the level and activity of hydrogen-consuming bacteria. The results of this research suggest that a changed bacterial population, possibly qualitatively as well as quantitatively, may be an underlying etiological factor in a subset of IBS sufferers. The idea that reinoculation of specific strains of bacteria (ie, probiotics) may improve the microflora imbalance is not new. Although the history of this treatment dates back 50 years, only a handful of studies have been reported in the literature. The earliest reported publication was in 1955, when Winkelstein compiled a series of case studies from his private practice. These included 26 cases of constipation, five cases of “functional” diarrhea, and four cases of alternating diarrhea and constipation. He reported resolution of symptoms in 33 of the 35 cases with daily administration of an unidentified strain of Lactobacillus acidophilus that contained 100 billion live organisms. It was not until the 1980s, however, that controlled trials were conducted. They have shown mixed results. Halpern et al reported a modest improvement in IBS symptoms using a specific strain of L acidophilus (Lacteol Fort, Axcan Pharma) versus placebo in a study that was conducted on Steven Faber, MD, FACG, is in private practice in Elizabeth City, NC, Scott Rigden, MD, is in private practice in Tempe, Ariz, and Dan Lukaczer Director of Clinical Research for Metagenics, Inc in Gig Harbor, Wash. (Altern Ther Health Med. 2005;11(4):60-62.)
Artificial Neural Network Application in the Diagnosis of Disease Conditions with Liver Ultrasound Images (2014)

The preliminary study presented within this paper shows a comparative study of various texture features extracted from liver ultrasonic images by employing Multilayer Perceptron (MLP), a type of artificial neural network, to study the presence of disease conditions. An ultrasound (US) image shows echo-texture patterns, which defines the organ characteristics. Ultrasound images of liver disease conditions such as "fatty liver," "cirrhosis," and "hepatomegaly" produce distinctive echo patterns. However, various ultrasound imaging artifacts and speckle noise make these echo-texture patterns difficult to identify and often hard to distinguish visually. Here, based on the extracted features from the ultrasonic images, we employed an artificial neural network for the diagnosis of disease conditions in liver and finding of the best classifier that distinguishes between abnormal and normal conditions of the liver. Comparison of the overall performance of all the feature classifiers concluded that "mixed feature set" is the best feature set. It showed an excellent rate of accuracy for the training data set. The gray level run length matrix (GLRLM) feature shows better results when the network was tested against unknown data.