gebhart/patrepeval huggingface dataset:
A randomized hemodynamic comparison of intravenous amiodarone with and without Tween 80 (1988)

In 20 patients undergoing coronary arteriography, the hemodynamic effects of an experimental preparation of i.v. amiodarone 5 mg kg-1 without Tween 80 (N) (10 patients) were compared with those of the commercial form with Tween 80 (A) (10 patients). Analysis of variance demonstrated differences during the 3 min of injection and for 3 min afterwards: left ventricular systolic pressure decreased from 110 + 11 to 86 +/- 11 mmHg (P = 0.001) after A and from 114 +/- 22 to 106 +/- 19 (P = 0.05) after N (comparison P = 0.01) while related tachycardia was also more pronounced after A (comparison P = 0.001). Left ventricular end diastolic pressure transiently decreased after A while continuously increasing after N (P = 0.05). During the following 30 min both A and N caused similar bradycardia, increase in ventricular filling pressure, vascular resistance and decrease in cardiac and contractility indexes. Amiodarone blood levels were similar after A or N. These data document a significant initial short duration vasoplegia, mainly related to Tween 80, after A, when amiodarone itself after producing a similar very slight effect causes bradycardia, and a moderate and progressive negative inotropic effect. It was concluded that while the experimental form would be of interest, the risk of severe hypotension after i.v. Cordarone can be largely avoided by using a slower rate of infusion, especially in patients with hypovolemic status.
An intelligent system for estimating full product Life Cycle Cost at the early design stage (2008)

It becomes clear for manufacturing companies that product Life Cycle Cost (LCC) is as crucial as product quality and functionality in deciding the success of a product in the market today. While LCC estimation has been seen as an aid to design decision making, the current cost estimating techniques suffer from drawbacks of low accuracy, restriction to specific lifecycle phases, and so on. We propose to build up an efficient and an intelligent LCC estimation system that aims to overcome the drawbacks of existing systems. As a generic system, it allows the users to alternatively apply the Activity-Based Costing (ABC) technique and state-of-the-art Machine Learning (ML) techniques to define and estimate various LCC elements depending upon the information available in a Product Lifecycle Database (PLD). The system consists of five major components: PLD, LCC template manager, ABC module, ML module and synthesiser. Through the proposed hybrid approach, the system considers all the aspects of the product lifecycle, and can be used at the very early stages of design and provide information to designers in a timely manner and in a form that can be understood and used.
Genesis and Degradation of Petroleum Hydrocarbons in Marine Environments (1975)

Petroleum and its related organic matter comprise the following entities: (a) gas, a gaseous mixture of methane to butane; (b) petroleum, a liquid mixture of mainly hydrocarbons; (c) asphalt, a semi-solid mixture of complex nonhydrocarbons and (a) kerogen, a solid, cross-linked, insoluble multipolymer. Gas, petroleum, and asphalt can be found in reservoirs, but kerogen is located only in source rocks. Usually, gas, asphalt and kerogen are associated with petroleum production. The elemental distribution and composition of a typical oil, asphalt, and kerogen are illustrated in Table 1. In going from gas (alkanes), to oil (petroleum), asphalt and kerogen, there is a decrease in the ratio of hydrogen to carbon in the material. Table I Chemical Composition of Gas, Oil, Asphalt and Kerogen Composition of a typical crude oil consists of 30% gasoline (C4-C10), 10% kerosene (C11-C15), 15% gas oil (C13-C20),20% lube oil (C20-C40) and 25% asphaltic bitumen ( C40). In terms of molecular types, an oil contains 30% paraffins,
Fabrication of Microporous Coatings on Titanium Implants with Improved Mechanical, Antibacterial, and Cell-Interactive Properties (2020)

The success of an orthopedic implant therapy depends on successful bone integration and the prevention of microbial infections. In this work, plasma electrolytic oxidation (PEO) was performed to deposit TiO<sub>2</sub> coatings enriched with Ca, P, and Ag on titanium to improve its surface properties and antibacterial efficacy while maintaining normal biological functions and thus to enhance the performance of orthopedic implants. After PEO treatment, the surface of Ti was converted to anatase and rutile TiO<sub>2</sub>, hydroxyapatite, and calcium titanate phases. The presence of these crystalline phases was further increased with an increased Ag content in the coatings. The developed coatings also exhibited a more porous morphology with an improved surface wettability, roughness, microhardness, and frictional coefficient. In vitro antibacterial assays indicated that the Ag-doped coatings can significantly prevent the growth of both <i>Staphylococcus aureus</i> and <i>Escherichia coli</i> by releasing Ag<sup>+</sup> ions, and the ability to prevent these bacteria was enhanced by increasing the Ag content in the coatings, resulting in a maximal 6-log reduction of <i>E. coli</i> and a maximal 5-log reduction of <i>S. aureus</i> after 24 h of incubation. Moreover, the in vitro cytocompatibility evaluation of the coatings showed that the osteoblast (MC3T3) cell integration on the PEO-based coatings was greatly improved compared to untreated Ti and no notable impact on their cytocompatibility was observed on increasing the amount of Ag in the coating. In conclusion, the coating with favorable physicochemical and mechanical properties along with controlled silver ion release can offer an excellent antibacterial performance and osteocompatibility and can thus become a prospective coating strategy to face current challenges in orthopedics.
In Vitro Characterization of Polyorthoester Microparticles Containing Bupivacaine (2003)

Laboratory-scale spray-congealing equipment was utilized to fabricate injectable microparticles consisting of polyorthoester and bupivacaine. Operating conditions for the spray-congealing process were optimized to produce microparticles with the desired shape and particle size to yield acceptable syringeability and injectability. Characterizations were performed to determine the chemico-physical properties of polyorthoester before and after microparticle fabrication. Microparticles with different drug loadings and comparable particle sizes were produced, and their in vitro drug-release profiles were determined. The in vitro drug release of microparticles with a high drug loading was markedly faster than those with a low drug loading. This is partially attributed to a more significant initial burst-drug release of the microparticles with a high drug loading. The microparticles have demonstrated the potential to be used for long-acting postsurgery pain management by local injection.
Line Detection and Texture Characterization of Network Patterns (2006)

This paper describes a complete approach to detect, localize and describe network patterns. Such texture is automatically detected with Gaussian derivative kernels and Fisher linear discriminant analysis; line closure and thinning is provided by morphological masking and line luminance profile fitting provides width estimation. Detection results on dermatological images are reported and discussed
Automatic Image Annotation using Deep Learning Representations (2015)

We propose simple and effective models for the image annotation that make use of Convolutional Neural Network (CNN) features extracted from an image and word embedding vectors to represent their associated tags. Our first set of models is based on the Canonical Correlation Analysis (CCA) framework that helps in modeling both views - visual features (CNN feature) and textual features (word embedding vectors) of the data. Results on all three variants of the CCA models, namely linear CCA, kernel CCA and CCA with k-nearest neighbor (CCA-KNN) clustering, are reported. The best results are obtained using CCA-KNN which outperforms previous results on the Corel-5k and the ESP-Game datasets and achieves comparable results on the IAPRTC-12 dataset. In our experiments we evaluate CNN features in the existing models which bring out the advantages of it over dozens of handcrafted features. We also demonstrate that word embedding vectors perform better than binary vectors as a representation of the tags associated with an image. In addition we compare the CCA model to a simple CNN based linear regression model, which allows the CNN layers to be trained using back-propagation.
Catalyst-free growth of uniform ZnO nanowire arrays on prepatterned substrate (2006)

Uniform and ordered ZnO nanowire arrays have been fabricated on the nanopatterned SiO2∕GaN substrate without metal catalysts using hydrothermal synthesis. The nanopatterns on SiO2∕GaN substrate with an average diameter of 65nm are produced by inductively coupled plasma etching using anodic alumina template as a mask, which provides nucleation sites for the vertical ZnO nanowires growth. High quality of the aligned uniform ZnO nanowire arrays grown on GaN substrate was confirmed by x-ray diffraction, transmission electron microscopy, and photoluminescence. This growth technique provides a cost-effective approach to fabricate ordered nanowire arrays with controlled size, which may benefit the nanowire device applications.
Cancer Detection with Whole-Body PET Using 2-[18F]Fluoro-2-Deoxy-D-Glucose (1993)

Because of the high glycolytic rate of malignant tissue, the whole-body FDG-PET technique has promise in the detection of a wide variety of both primary and metastatic malignancies. The presence of FDG uptake in benign inflammatory conditions may limit the specificity of the technique. The sensitivity for the detection of malignant lesions was 87% and the positive predictive value was 94%. The whole-body FDG-PET method is promising both in determining the nature of a localized lesion and in defining the systemic extent of malignant disease.
Incorporating clinical metadata with digital image features for automated identification of cutaneous melanoma (2013)

This paper proposes an enhanced CAD system incorporating clinical metadata into the learning process for automatic classification of melanoma. Results demonstrate that the additional metadata and the mechanism to incorporate them are useful for improving CAD of melanoma.
A control Lyapunov function approach to multiagent coordination (2002)

In this paper, the multiagent coordination problem is studied. This problem is addressed for a class of robots for which control Lyapunov functions can be found. The main result is a suite of theorems about formation maintenance, task completion time, and formation velocity. It is also shown how to moderate the requirement that, for each individual robot, there exists a control Lyapunov function. An example is provided that illustrates the soundness of the method.
The Photodegradation of Polypropylene Films. II. Photolysis of Ketonic Oxidation Products (1969)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTThe Photodegradation of Polypropylene Films. II. Photolysis of Ketonic Oxidation ProductsD. J. Carlsson and D. M. WilesCite this: Macromolecules 1969, 2, 6, 587–597Publication Date (Print):November 1, 1969Publication History Published online1 May 2002Published inissue 1 November 1969https://doi.org/10.1021/ma60012a006RIGHTS & PERMISSIONSArticle Views700Altmetric-Citations172LEARN 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 (1 MB) Get e-Alerts Get e-Alerts
Protein Nanopatterns and Biosensors Using Gold Binding Polypeptide as a Fusion Partner (2006)

An efficient strategy for immobilizing proteins on a gold surface was developed by employing the gold binding polypeptide (GBP) as a fusion partner. Using the enhanced green fluorescent protein (EGFP), severe acute respiratory syndrome coronavirus (SARS-CoV) envelope protein (SCVme), and core streptavidin (cSA) of Streptomyces avidinii as model proteins, specific immobilization of the GBP-fusion proteins onto the gold nanoparticles and generation of protein nanopatterns on the bare gold surface were demonstrated. The GBP-fused SCVme bound to gold nanoparticles successfully interacted with its antibody and showed changes in absorbance and color, allowing efficient diagnosis of SARS-CoV. The fusion proteins could be successfully immobilized on the gold surface by nanopatterning and microcontact printing as examined by atomic force microscopy and surface plasmon resonance analysis. The poly(dimethylsiloxane) microfluidic channels were created on the gold surface and were used for antigen-antibody and DNA-DNA interaction studies. Specific immobilization of GBP-EGFP fusion protein and its interaction with the antibody in the microchannels could be demonstrated. By immobilizing the DNA probe through the use of GBP-fused cSA, specific hybridization of the target DNA prepared from Salmonella could also be achieved. The GBP-fusion method allows immobilization of proteins onto the gold surface without surface modification and in bioactive forms suitable for studying protein-protein, DNA-DNA, and other biomolecular interaction studies. Furthermore, these studies can be carried out in a microfluidic system, which allows high-throughput analysis of biomolecular interactions.
Comparative Analysis of Codon Usage Patterns Among Mitochondrion, Chloroplast and Nuclear Genes in <i>Triticum aestivum</i> L. (2007)

Abstract In many organisms, the difference in codon usage patterns among genes reflects variation in local base compositional biases and the intensity of natural selection. In this study, a comparative analysis was performed to investigate the characteristics of codon bias and factors in shaping the codon usage patterns among mitochondrion, chloroplast and nuclear genes in common wheat ( Triticum aestivum L.). GC contents in nuclear genes were higher than that in mitochondrion and chloroplast genes. The neutrality and correspondence analyses indicated that the codon usage in nuclear genes would be a result of relative strong mutational bias, while the codon usage patterns of mitochondrion and chloroplast genes were more conserved in GC content and influenced by translation level. The Parity Rule 2 (R2) plot analysis showed that pyrimidines were used more frequently than purines at the third codon position in the three genomes. In addition, using a new alterative strategy, 11, 12, and 24 triplets were defined as preferred codons in the mitochondrion, chloroplast and nuclear genes, respectively. These findings suggested that the mitochondrion, chloroplast and nuclear genes shared particularly different features of codon usage and evolutionary constraints.
Using hidden Markov models to evaluate the quality of discovered process models (2008)

Hidden Markov Models (HMMs) are a stochastic signal modeling formalism that is actively used in the machine learning community for a wide range of applications such as speech and activity recognition. Efficient techniques exist to learn HMM models from a given data set, and to estimate the data likelihood with respect to a given HMM (i.e., “How probable is it that these data were produced by this HMM?”). The latter enables the evaluation and selection of suitable models. In the domain of process mining the evaluation of models (i.e., “How can we measure the quality of a mined process model?”) is still subject to ongoing research. Because the types of models used in process mining are typically on a higher level of abstraction (i.e., they are more expressive as they, for example, allow to capture concurrency), the problem of model evaluation is challenging. In this paper, we investigate the possibilities and limitations of using HMMs for evaluating process models and compare the resulting quality measurements to the metrics typically used in the process mining domain.
The presence of the adenovirus E3 region improves the oncolytic potency of conditionally replicative adenoviruses. (2002)

These results indicate that the presence of E3 can enhance the antitumor potency of CRAds over and above the levels conferred by the enhancement of infectivity via Arg-Gly-Asp (RGD).
Dual-Functional Antifogging/Antimicrobial Polymer Coating (2016)

Dual-functional antifogging/antimicrobial polymer coatings were prepared by forming a semi-interpenetrating polymer network (SIPN) of partially quaternized poly(2-(dimethylamino)ethyl methacrylate-co-methyl methacrylate) and polymerized ethylene glycol dimethacrylate network. The excellent antifogging behavior of the smooth coating was mainly attributed to the hydrophilic/hydrophobic balance of the partially quaternized copolymer, while the covalently bonded, hydrophobic quaternary ammonium compound (5 mol % in the copolymer) rendered the coating strongly antimicrobial, as demonstrated by the total kill against both Gram-positive Staphylococcus epidermidis and Gram-negative Escherichia coli. The antimicrobial action of the SIPN coating was based on contact killing, without leaching of bactericidal species, as revealed by a zone-of-inhibition test. This type of dual-functional coating may find unique applications where both antimicrobial and antifogging properties are desired.
Localization of T and B lymphocytes in histologically normal adult human donor liver. (2004)

The presence of lymphocytes in the human liver is usually considered a hallmark of pathology. The demonstration of significant lymphocyte populations in pristine liver, particularly in the parenchyma, supports the hypothesis that the human liver harbors tissue-resident lymphocytes.
Power-Controlled Medium Access Control Protocol for Full-Duplex WiFi Networks (2015)

Recent advances in signal processing have demonstrated in-band full-duplex capability at WiFi ranges. In addition to simultaneous two-way exchange between two nodes, full-duplex access points can potentially support simultaneous uplink and downlink flows. However, the atomic three-node topology, which allows simultaneous uplink and downlink, leads to inter-client interference. In this paper, we propose a random-access medium access control protocol using distributed power control to manage inter-client interference in wireless networks with full-duplex-capable access points that serve half-duplex clients. Our key contributions are two-fold. First, we identify the regimes in which power control provides sum throughput gains for the three-node atomic topology, with one uplink flow and one downlink flow. Second, we develop and benchmark PoCMAC, a full 802.11-based protocol that allows distributed selection of a three-node topology. The proposed MAC protocol is shown to achieve higher capacity as compared to an equivalent half-duplex counterpart, while maintaining similar fairness characteristics in single contention domain networks. We carried out extensive simulations and software-defined radio-based experiments to evaluate the performance of the proposed MAC protocol, which is shown to achieve a significant improvement over its half-duplex counterpart in terms of throughput performance.
Inhibition of interleukin-1 receptor-associated kinase 1 (IRAK1) as a therapeutic strategy (2018)

Interleukin-1 receptor-associated kinases (IRAK1, IRAK2, IRAK3 [IRAK-M], and IRAK4) are serine-threonine kinases involved in toll-like receptor and interleukin-1 signaling pathways, through which they regulate innate immunity and inflammation. Evidence exists that IRAKs play key roles in the pathophysiologies of cancers, and metabolic and inflammatory diseases, and that IRAK inhibition has potential therapeutic benefits. Molecules capable of selectively interfering with IRAK function and expression have been reported, paving the way for the clinical evaluation of IRAK inhibition. Herein, we focus on IRAK1, review its structure and physiological roles, and summarize emerging data for IRAK1 inhibitors in preclinical and clinical studies.
In Situ Identification of Intracellular Bacteria Related to <i>Paenibacillus</i> spp. in the Mycelium of the Ectomycorrhizal Fungus <i>Laccaria bicolor</i> S238N (2003)

Bacterial proliferations have recurrently been observed for the past 15 years in fermentor cultures of the ectomycorrhizal fungus Laccaria bicolor S238N, suggesting the presence of cryptic bacteria in the collection culture of this fungus. In this study, intracellular bacteria were detected by fluorescence in situ hybridization in combination with confocal laser scanning microscopy in several collection subcultures of L. bicolor S238N. They were small (0.5 micro m in diameter), rare, and heterogeneously distributed in the mycelium and were identified as Paenibacillus spp. by using a 16S rRNA-directed oligonucleotide probe initially designed for bacteria isolated from a fermentor culture of L. bicolor S238N.
Phosphorylated Ssk1 Prevents Unphosphorylated Ssk1 from Activating the Ssk2 Mitogen-Activated Protein Kinase Kinase Kinase in the Yeast High-Osmolarity Glycerol Osmoregulatory Pathway (2008)

In Saccharomyces cerevisiae, external high osmolarity activates the Hog1 mitogen-activated protein kinase (MAPK), which controls various aspects of osmoadaptation. Ssk1 is a homolog of bacterial two-component response regulators and activates the Ssk2 MAPK kinase kinase upstream of Hog1. It has been proposed that unphosphorylated Ssk1 (Ssk1-OH) is the active form and that Ssk1 phosphorylated (Ssk1 approximately P) at Asp554 by the Sln1-Ypd1-Ssk1 multistep phosphorelay mechanism is the inactive form. In this study, we show that constitutive activation of Ssk2 occurs when Ssk1 phosphorylation is blocked by either an Ssk1 mutation at the phosphorylation site or an Ssk1 mutation that inhibits its interaction with Ypd1, the donor of phosphate to Ssk1. Thus, Ssk1-OH is indeed necessary for Ssk2 activation. However, overexpression of wild-type Ssk1 or of an Ssk1 mutant that cannot bind Ssk2 prevents constitutively active Ssk1 mutants from activating Ssk2. Therefore, Ssk1 has a dual function as both an activator of Ssk2 and an inhibitor of Ssk1 itself. We also found that Ssk1 exists mostly as a dimer within cells. From mutant phenotypes, we deduce that only the Ssk1-OH/Ssk1-OH dimer can activate Ssk2 efficiently. Hence, because Ssk1 approximately P binds to and inhibits Ssk1-OH, moderate fluctuation of the level of Ssk1-OH does not lead to nonphysiological and detrimental activation of Hog1.
Studies on 1,2,3,4-tetrahydroisoquinolines. VI. Reutilization of the unwanted (R)-isomer of (S)-(-)-5,7-dihydroxy-1-(3,4,5-trimethoxybenzyl)-1,2,3,4-tetrahydroisoquinoline (TA-073). (1983)

Racemization of the unwanted isomer (R-1) of (S)-(-)-5, 7-dihydroxy-1-(3, 4, 5-trimethoxybenzyl)-1, 2, 3, 4-tetrahydroisoquinoline (TA-073) via the imine 6 was examined. Reduction of 6 with NaBH4 followed by hydrogenolysis over 10% Pd-C gave (±)-TA-073 in a good yield. Asymmetric reduction of 6 to S-4, the precursor of TA-073, by the use of the chiral reducing agent (I), prepared from NaBH4 (1 eq) and (S)-N-benzyloxycarbonylproline (3 eq), was also investigated. Treatment of 6 with I in a halogenated alkane such as CHCl2CH3 or CHCl2CHCl2 at -30°C afforded S-4 in an excellent optical yield (87% e.e.).