gebhart/patrepeval huggingface dataset:
Phenethylamines. IV. Dimethoxy and Dihydroxyphenyl-n-propylamines (β-Methyl-β-pheńethylamines)<sup>1</sup> (1942)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTPhenethylamines. IV. Dimethoxy and Dihydroxyphenyl-n-propylamines (β-Methyl-β-pheńethylamines)1E. H. WoodruffCite this: J. Am. Chem. Soc. 1942, 64, 12, 2859–2862Publication Date (Print):December 1, 1942Publication History Published online1 May 2002Published inissue 1 December 1942https://pubs.acs.org/doi/10.1021/ja01264a038https://doi.org/10.1021/ja01264a038research-articleACS PublicationsRequest reuse permissionsArticle Views130Altmetric-Citations7LEARN 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
Detection of NPM1 exon 12 mutations and FLT3 – internal tandem duplications by high resolution melting analysis in normal karyotype acute myeloid leukemia (2008)

HRM is a rapid and efficient method of screening NK-AML samples for both novel and known NPM1 and FLT3 mutations. NPM1 mutations can be observed in both primary and secondary NK-AML cases.
Heart failure and Alzheimer′s disease (2014)

It has recently been proposed that heart failure is a risk factor for Alzheimer's disease. Decreased cerebral blood flow and neurohormonal activation due to heart failure may contribute to the dysfunction of the neurovascular unit and cause an energy crisis in neurons. This leads to the impaired clearance of amyloid beta and hyperphosphorylation of tau protein, resulting in the formation of amyloid beta plaques and neurofibrillary tangles. In this article, we will summarize the current understanding of the relationship between heart failure and Alzheimer's disease based on epidemiological studies, brain imaging research, pathological findings and the use of animal models. The importance of atherosclerosis, myocardial infarction, atrial fibrillation, blood pressure and valve disease as well as the effect of relevant medications will be discussed.
Parametric Response Map As an Imaging Biomarker to Distinguish Progression From Pseudoprogression in High-Grade Glioma (2010)

Purpose To assess whether a new method of quantifying therapy-associated hemodynamic alterations may help to distinguish pseudoprogression from true progression in patients with high-grade glioma. Patients and Methods Patients with high-grade glioma received concurrent chemoradiotherapy. Relative cerebral blood volume (rCBV) and blood flow (rCBF) maps were acquired before chemoradiotherapy and at week 3 during treatment on a prospective institutional review board–approved study. Pseudoprogression was defined as imaging changes 1 to 3 months after chemoradiotherapy that mimic tumor progression but stabilized or improved without change in treatment or for which resection revealed radiation effects only. Clinical and conventional magnetic resonance (MR) parameters, including average percent change of rCBV and CBF, were evaluated as potential predictors of pseudoprogression. Parametric response map (PRM), an innovative, voxel-by-voxel method of image analysis, was also performed. Results Median radiation dose was 72 Gy (range, 60 to 78 Gy). Of 27 patients, stable disease/partial response was noted in 13 patients and apparent progression was noted in 14 patients. Adjuvant temozolomide was continued in all patients. Pseudoprogression occurred in six patients. Based on PRM analysis, a significantly reduced blood volume (PRM rCBV ) at week 3 was noted in patients with progressive disease as compared with those with pseudoprogression (P < .01). In contrast, change in average percent rCBV or rCBF, MR tumor volume changes, age, extent of resection, and Radiation Therapy Oncology Group recursive partitioning analysis classification did not distinguish progression from pseudoprogression. Conclusion PRM rCBV at week 3 during chemoradiotherapy is a potential early imaging biomarker of response that may be helpful in distinguishing pseudoprogression from true progression in patients with high-grade glioma.
Assessing the antifouling properties of cold-spray metal embedment using loading density gradients of metal particles (2014)

Particles of copper, bronze and zinc were embedded into a polymer using cold-spray technology to produce loading density gradients of metal particles. The gradients were used to identify the species with the highest tolerance to the release of copper and zinc ions. The gradients also established the minimum effective release rates (MERRs) of copper and zinc ions needed to prevent the recruitment of fouling under field conditions. Watersipora sp. and Simplaria pseudomilitaris had the highest tolerances to the release of metal ions. Copper and bronze gradient tubes were similar in their MERRs of copper ions against Watersipora sp. (0.058 g m(-2) h(-1) and 0.054 g m(-2) h(-1), respectively) and against S. pseudomilitaris (0.030 g m(-2) h(-1) and 0.025 g m(-2) h(-1), respectively). Zinc was not an effective antifoulant, with failure within two weeks. In conclusion, cold-spray gradients were effective in determining MERRs and these outcomes provide the basis for the development of cold-spray surfaces with pre-determined life-spans using controlled MERRs.
Identification of a High-T<sub>c</sub> Superconducting Phase in the Bi-Ca-Sr-Cu-O System (1988)

Bismuth-based copper oxides with varying nominal compositions in the Bi-Ca-Sr-Cu-O system were prepared and identified by the methods of X-ray and electron diffraction, spectroscopic microanalysis and electrical resistivity measurement. It yielded a pseudo single phase with an offset superconducting transition temperature of 70 K and a width of 10 K. The major phase concerned with the superconducting transition near 75 K has a composition of Bi 2 CaSr 1.5 Cu 2 O y and is orthorhombic with unit cell dimensions of a =5.40, b =27.0 and c =30.6 Å. The X-ray diffraction pattern for the pseudo single phase was in good agreement with that simulated on the basis of proposed structure models which are fairly different from the structure of the layered bismuth titanate.
Plasmonic and metamaterial cloaking: physical mechanisms and potentials (2008)

Artificial materials, metamaterials and plasmonic media have recently received tremendous attention from the scientific communities, media and the general public, following novel ideas and suggestions for their potential use in a variety of applications such as cloaking. Here we briefly review and highlight some of the available solutions for invisibility and cloaking that employ metamaterials and plasmonic materials at various frequencies. We briefly overview some of the different cloaking mechanisms recently proposed in the literature, such as plasmonic cloaking based on scattering cancelation, coordinate-transformation cloaking and anomalous localized resonances for cloaking, in particular providing some details for scattering-cancelation-based plasmonic cloaking. We mention the main analogies and differences among these various approaches and we discuss some possible ideas for realizations and applications of these results, with particular attention to the physical phenomena involved.
Prothetische Stimmrehabilitation nach totaler Kehlkopfentfernung - eine historische Abhandlung seit Billroth (1873) (2007)

Im Jahre 1873 führte Theodor Billroth die erste Laryngektomie durch und versah den Patienten mit einem künstlichen Kehlkopf. Seit der Einführung dieser Operation in die Therapie von Larynxkarzinomen und das Wissen um den verstümmelnden Charakter der Laryngektomie haben Operateure und Stimmtherapeuten intensive Bemühungen unternommen, den Betroffenen eine Rehabilitation der Stimme zu ermöglichen. Auf die verschiedenen Möglichkeiten zur Stimmrehabilitation, einschließlich elektromechanischer Sprechhilfen, wird in dieser Arbeit anhand ausgewählter Beispiele in ihrer historischen Entwicklung eingegangen. Nach einer kurzen Übersicht über die konservativen Möglichkeiten der Stimmrehabilitation nach Laryngektomie wurden im Weiteren die wegweisenden modernen chirurgischen Verfahren dargestellt. Das eigentliche Kernstück dieser Arbeit bildet die Sammlung und ausführliche Beschreibung von insgesamt 30 internen und 13 weitgehend in Vergessenheit geratenen externen Stimmprothesen aus den Jahren 1859 - 2004, ergänzt durch biographische Daten ihrer Erfinder. Dabei konnte aufgezeigt werden, dass sich die Fortschritte der industriellen Möglichkeiten zur Fertigung künstlicher Stimmprothesen eng an die in der jeweiligen Epoche verwendeten Modelle und Materialien anlehnten. Zwar haben sich Beschaffenheit und Form der Prothesen stetig gewandelt und weiter entwickelt, die entscheidenden Probleme bezüglich der unzureichenden Klangqualität und Lautstärke der Ersatzstimme jedoch sind weitgehend dieselben geblieben. An maßgeblichen Verbesserungen im historische Rückblick sind zu nennen: besserer Tragekomfort der neueren Prothesen, einfachere Handhabung und Wechselprozeduren, geringere Aspirationsgefahr durch längere Haltbarkeit der Materialien, insbesondere des Ventilmechanismus. Trotz zahlreicher Weiterentwicklungen, Modifikationen und der Erforschung neuer Materialien sowie prothetischer und operativer Techniken wurden die Ansprüche an eine optimale Stimmprothese bis heute nicht erreicht.
Selective extraction systems for detection and purification of membrane proteins (2000)

Increased understanding of membrane proteins is important for characterization of biochemical processes. Improved membrane protein isolation methods is a key issue for effective functional and structural determination of the large amount of unknown membrane proteins. In this thesis, a novel approach towards selective membrane protein purification is introduced. Polymer induced micelle extraction (PIME) systems are formed in mixtures between nonionic detergents and water-soluble polymers. Over a critical concentration the detergent/polymer/water mixture separates into two phases and forms a detergent-rich and a polymer-rich phase. Separation of membrane proteins from cytosolic proteins and insoluble materials is achieved by the large difference in distribution between the phases. In general, membrane proteins are extracted into the micelle-enriched phase, while water-soluble proteins partitions in the polymer-rich phase. Membranes can be solubilized directly into the PIME system at low temperature with many commonly used nonionic detergents. The developed micelle-based extraction system is suggested to replace the traditional solubilization step in membrane protein purification. A combined solubilization and primary purification of the target proteins can be obtained. Such smart solubilization in PIME systems was utilized to pre-fractionate membrane proteins prior to detection of a putative membrane bound receptor. The partitioning and phase separation mechanism in the PIME systems was examined in detail and explained in a thermodynamic context. An understanding how to optimize the system for membrane protein extraction was gained. Several approaches to further increase the separation between hydrophobic and hydrophilic proteins was studied such as addition of affinity ligands, salts and ionic detergents. A novel high-resolution method was developed, called affinity PIME systems. A selective membrane protein extraction system was obtained by affinity partitioning of the target membrane protein into the polymer-rich phase, while contaminating membrane proteins remained in the opposite micelle-rich phase. The concept was successfully demonstrated by metal affinity purification of the His-tagged integral membrane protein, cytochrome bo3 ubiquinol oxidase from Escherichia coli membranes. Affinity PIME systems should be of great importance for a fast purification of structural intact membrane proteins due the mild and selective properties of the system. PIME systems can be applied for purification of amphiphilic fusion proteins. An effective purification of the amphiphilic fusion protein endoglucanase I-hydrophobin I was obtained from a Trichoderma reesei fermentation filtrate. A method was developed for removal of detergent from the purified fusion protein.
A Mechanism of Automated Monitoring Deployment in Grid Environment (2008)

Constructing monitoring systems beforehand cannot satisfy the requirement of dynamically organizing resources. This paper describes a script-based approach to automate the deployment of grid monitoring service components. An automated deployment monitoring mechanism uses the information of dynamical
Roadmapping ICT: An Absolute Energy Efficiency Metric (2011)

We describe an absolute energy efficiency metric (measured in dBε) that can be universally applied to any ICT system, subsystem and component. It shows what energy efficiency improvements are possible for any data processing/transmission/storage system. The metric’s versatility is also displayed by applying it to biologically based and quantum-level information systems. As an exemplar, we identify ten different and independent approaches, each of which on its own could achieve at least a 50% energy efficiency saving, so as to enable a thousand-fold (i.e., 30 dB) improvement in overall energy efficiency in photonic telecommunications networking.
Bioavailability of total dietary iron from beef and soy protein isolate, alone or combined, in anemic and healthy rats. (1991)

Eighteen lactic acid bacteria (LAB) strains isolated from dairy products, all identified as Lactobacillus delbrueckii subsp. bulgaricus, were tested for their ability to grow on three different oligosaccharides: fructo-oligosaccharides (FOS), gluco-oligosaccharides (GOS) and galacto-oligosaccharides (GalOS). The growth of LAB on different oligosaccharides was very different. Study of the antimicrobial activities of these LAB indicated that the system of uptake of unusual sugars influenced in a specific way the production of antimicrobial substances (bacteriocins) specific against gram-negative bacteria. The added oligosaccharides induced LAB to form end-products of a typical mixed acid fermentation. The utilization of different types of oligosaccharides may help to explain the ability of Lactobacillus strains to compete with other bacteria in the ecosystem of the human gastro-intestinal tract.
SYS‐FLASH. Systemic saturation in FLASH MR imaging (1987)

A simple modification of FLASH (Fast Low Angle SHot) MR imaging, which results in a variable reduction of the intensity of flowing blood and flow artifacts in transaxial tomograms, is reported. Here a nonselective radiofrequency pulse of variable flip angle is used before the acquisition of each projection in FLASH imaging to saturate flowing blood within the whole volume (SYstemic Saturation = SYS-FLASH).
Vehicle speed prediction via a sliding-window time series analysis and an evolutionary least learning machine: A case study on San Francisco urban roads (2014)

The main goal of the current study is to take advantage of advanced numerical and intelligent tools to predict the speed of a vehicle using time series. It is clear that the uncertainty caused by temporal behavior of the driver as well as various external disturbances on the road will affect the vehicle speed, and thus, the vehicle power demands. The prediction of upcoming power demands can be employed by the vehicle powertrain control systems to improve significantly the fuel economy and emission performance. Therefore, it is important to systems design engineers and automotive industrialists to develop efficient numerical tools to overcome the risk of unpredictability associated with the vehicle speed profile on roads. In this study, the authors propose an intelligent tool called evolutionary least learning machine (E-LLM) to forecast the vehicle speed sequence. To have a practical evaluation regarding the efficacy of E-LLM, the authors use the driving data collected on the San Francisco urban roads by a private Honda Insight vehicle. The concept of sliding window time series (SWTS) analysis is used to prepare the database for the speed forecasting process. To evaluate the performance of the proposed technique, a number of well-known approaches, such as auto regressive (AR) method, back-propagation neural network (BPNN), evolutionary extreme learning machine (E-ELM), extreme learning machine (ELM), and radial basis function neural network (RBFNN), are considered. The performances of the rival methods are then compared in terms of the mean square error (MSE), root mean square error (RMSE), mean absolute percentage error (MAPE), median absolute percentage error (MDAPE), and absolute fraction of variances (R2) metrics. Through an exhaustive comparative study, the authors observed that E-LLM is a powerful tool for predicting the vehicle speed profiles. The outcomes of the current study can be of use for the engineers of automotive industry who have been seeking fast, accurate, and inexpensive tools capable of predicting vehicle speeds up to a given point ahead of time, known as prediction horizon (HP), which can be used for designing efficient predictive powertrain controllers.
Review of digital holographic microscopy for three-dimensional profiling and tracking (2014)

Digital holographic microscopy (DHM) is a potent tool to perform three-dimensional imaging and tracking. We present a review of the state-of-the-art of DHM for three-dimensional profiling and tracking with emphasis on DHM techniques, reconstruction criteria for three-dimensional profiling and tracking, and their applications in various branches of science, including biomedical microscopy, particle imaging velocimetry, micrometrology, and holographic tomography, to name but a few. First, several representative DHM configurations are summarized and brief descriptions of DHM processes are given. Then we describe and compare the reconstruction criteria to obtain three-dimensional profiles and four-dimensional trajectories of objects. Details of the simulated and experimental evidences of DHM techniques and related reconstruction algorithms on particles, biological cells, fibers, etc., with different shapes, sizes, and conditions are also provided. The review concludes with a summary of techniques and applications of three-dimensional imaging and four-dimensional tracking by DHM.
Jini meets UPnP: an architecture for Jini/UPnP interoperability (2003)

A service discovery framework provides a collection of protocols for developing dynamic client/server applications, allowing clients to find and use services without any previous knowledge of the locations or characteristics of the services. There are currently many service discovery, technologies available or in development, including Jini, UPnP, SLP, Salutation, Bluetooth SDP, and Ninja. These have similar high-level goals, but quite different architectures. Each software or hardware product utilizing service discovery will typically use only one of these protocols, meaning that clients and services using different technologies will not be able to cooperate. Since it is likely that several protocols will be widely used, there is a need for interoperability frameworks that allow clients and services written using different service discovery technologies to cooperate. This paper presents a Jini/UPnP interoperability framework that allows Jini clients to use UPnP services and UPnP clients to use Jini services, without modification to service or client implementations. As service specifications are typically developed independently for each protocol, a fully automatic interoperability solution is not currently practical, so we introduce service-specific proxies to bridge Jini and UPnP. Our goal is to reduce the amount of effort required to support new service types and our framework includes a substantial amount of support for rapid proxy development. A modest development effort is required to support each new service type, and our initial (and highly unscientific) measurements reveal that the level of effort is typically on the order of one day by a member of our team.
Fluid Loss Pills Control Losses through Sand Control Screens without Damage or Cleanup (2007)

Abstract This paper describes workover and completion operations offshore Trinidad & Tobago and the Gulf of Mexico in which the operator desired non-mechanical isolation of the reservoir section above the sand-control assembly. Each well required clear brine of kill-weight density and in the case of the five dry gas wells described, losses of significant volume of brine to the formation was unacceptable. Isolation of the reservoir was required for up to 18 days. The following objectives were specified: Reduce fluid losses to the formation from inside the sand control screen,Minimize the potential for formation or screen damage, andEliminate post-job, clean-up treatment of any kind. This paper describes the development of specially formulated fluid-loss control pills and their subsequent use in the field to provide reservoir isolation by placing a temporary filter cake on the inside surface of the sand control screen. The paper describes laboratory tests designed to optimize the pill formulation to seal the inside surface of each specific screen, minimize spurt loss, maintain rheological properties for an extended period at reservoir condition and, importantly, displace off the screen with gas production. In each of the cases described, field spotting procedures were designed to eliminate killing the wells by bullheading, thus significantly reducing the volume of fluid lost to the reservoir. The authors provide details of the properties of the pill and the field procedures used to place the pills in the wells. All wells were returned to production without any remedial treatment whatsoever or impact on productivity. Additionally, the savings in time, costs and lessons learned associated with these projects and recommendations for similar future projects are discussed.
Reactive power optimisation of power system with APPM (2013)

Artificial plant optimisation algorithm is a new stochastic optimisation algorithm inspired by the plant growing process. In this paper, the primary version is applied to solve reactive power optimisation of power system. To show the efficiency, IEEE118 bus systems is employed. Simulation results show it is effective.