gebhart/patrepeval huggingface dataset:
Transient picosecond Raman studies of high-field electron transport in GaAs-based<i>p</i>-<i>i</i>-<i>n</i>nanostructure semiconductors (1995)

High-field electron transport in GaAs-based p-i-n nanostructure semiconductors has been studied by transient picosecond Raman spectroscopy at T=80 K. Both electron-distribution functions and electron-drift velocities have been directly measured as a function of (1) excitation photon energy, (2) electron density, and (3) electric-field intensity. Our experimental results show that for incident photon energies \ensuremath{\Elzxh}\ensuremath{\omega}=1.951 and 1.92 eV, as the injected electron density was increased from n=${10}^{17}$ to ${10}^{18}$ ${\mathrm{cm}}^{\mathrm{\ensuremath{-}}3}$, the measured drift velocity was found to decrease substantially; on the other hand, the observed electron-distribution function changed from an extremely nonequilibrium one to an almost shifted Fermi-Dirac distribution. When the electric-field intensity E was increased from 15 to 35 kV/cm, the electron-drift velocity did not change significantly. As the incident photon energy \ensuremath{\Elzxh}\ensuremath{\omega} was decreased to 1.83 eV, the electron-distribution function remained extremely nonequilibrium even for an injected electron density n=${10}^{18}$ ${\mathrm{cm}}^{\mathrm{\ensuremath{-}}3}$. All of these experimental results were compared with ensemble Monte Carlo calculations.
The kinetics of slow-binding and slow, tight-binding inhibition: the effects of substrate depletion (1993)

Inhibitors with dissociation constants in the micromolar to nanomolar range are important, but hard to characterize kinetically, especially when the substrate concentration in the assay is less than Km. When inhibition increases during the course of the assay (slow-binding inhibition) the concentration of substrate may decrease appreciably. Methods that take substrate depletion into account are described for analysing experiments in which the initial substrate concentration is below Km. Fitting progress curves gives the rate constants for the second (slow) step in a two-step mechanism. An approximate value for the overall dissociation constant may be determined from measurements of rates when the reaction is treated as a first-order process. When the concentrations of inhibitor and enzyme are comparable numerical methods are required. Procedures, suitable for implementation on a microcomputer, for the solution of the differential equations and the fitting of progress curves are described.
On the Zeros of Some Polynomials that Arise in Numerical Quadrature and Convergence Acceleration (1983)

In this work the zeros of a sequence of polynomials that arise in convergence acceleration and some new numerical quadrature formulas are studied. In particular, it is proved that those polynomials that arise in numerical quadrature have all their zeros on $[0,1]$ and that they are simple, and a characterization theorem for these polynomials is also provided. Furthermore, the zeros are shown to have an interlacing property.
Molecular Characterization of an Ependymin Precursor from Goldfish Brain (1989)

Abstract: Ependymins are thought to be implicated in fundamental processes involved in plasticity of the goldfish CNS. Gas‐phase sequencing of purified ependymins β and γ revealed that they share the same N‐terminal sequence. Each sequence displays microheterogeneities at several positions. Based on the protein sequences obtained, we constructed synthetic oligonucleotides and used them as hybridization probes for screening cDNA libraries of goldfish brain. In this article we describe the full‐length sequence of a mRNA encoding a precursor of ependymins. A cleavable signal sequence characteristic of secretory proteins is located at the N‐terminal end, followed directly by the ependymin sequence. Also, two potential N‐glycosylation sites were detected. A computer search revealed that ependymins form a novel family of unique proteins.
Gateless AlGaN/GaN HEMT response to block co-polymers (2004)

Gateless AlGaN/GaN high electron mobility transistor (HEMT) structures exhibit large changes in source-drain current upon exposing the gate region to various block co-polymer solutions. The polar nature of some of these polymer chains lead to a change of surface charges in gate region on the HEMT, producing a change in surface potential at the semiconductor/liquid interface. The nitride sensors appear to be promising for a wide range of chemical gas, combustion gas, liquid and strain sensing. © 2003 Elsevier Ltd. All rights reserved.
Reduction of Low-Density Lipoprotein Cholesterol by Monoclonal Antibody Inhibition of PCSK9 (2014)

Published phase I and II trials with two fully human monoclonal antibodies to PCSK9 have provided comprehensive evidence that inhibiting PCSK9 is a very effective method to reduce low-density lipoprotein cholesterol (LDL-C). In all populations studied so far, whether on statins or LDL-C-reducing diet alone, with or without a genetic defect in the LDL receptor, and in subjects intolerant to statins, the LDL-C reductions have been large and consistent. Even the most efficacious statin, rosuvastatin, at its highest dose has not achieved such reductions. The clinical trials have established that monoclonal antibody therapy targeted to PCSK9 may be administered subcutaneously every two or four weeks. Current data suggest these drugs will provide an effective therapeutic option for LDL-C reduction and that, if proven safe in phase III trials, they will be as important to LDL-C control, and likely to cardiovascular disease risk reduction, as statins have been over the past three decades.
Motion Compensation for Ultrasound Thermal Imaging Using Motion-Mapped Reference Model: An <i>in vivo</i> Mouse Study (2014)

Ultrasound (US)-based thermal imaging is very sensitive to tissue motion, which is a major obstacle to apply US temperature monitoring to noninvasive thermal therapies of in vivo subjects. In this study, we aim to develop a motion compensation method for stable US thermal imaging in in vivo subjects. Based on the assumption that the major tissue motion is approximately periodic caused by respiration, we propose a motion compensation method for change in backscattered energy (CBE) with multiple reference frames. Among the reference frames, the most similar reference to the current frame is selected to subtract the respiratory-induced motions. Since exhaustive reference searching in all stored reference frames can impede real-time thermal imaging, we improve the reference searching by using a motion-mapped reference model. We tested our method in six tumor-bearing mice with high intensity focused ultrasound (HIFU) sonication in the tumor volume until the temperature had increased by 7°C. The proposed motion compensation was evaluated by root-mean-square-error (RMSE) analysis between the estimated temperature by CBE and the measured temperature by thermocouple. As a result, the mean ±SD RMSE in the heating range was 1.1±0.1°C with the proposed method, while the corresponding result without motion compensation was 4.3±2.6°C. In addition, with the idea of motion-mapped reference frame, total processing time to produce a frame of thermal image was reduced in comparison with the exhaustive reference searching, which enabled the motion-compensated thermal imaging in 15 frames per second with 150 reference frames under 50% HIFU duty ratio.
Serum Oxidant/Antioxidant Status in Patients with Systemic Lupus Erythematosus (2002)

The levels of malondialdehyde and ceruloplasmin, and superoxide dismutase activity were higher, while transferrin concentration and the activities of glutathione peroxidase and catalase were lower in serum of patients with systemic lupus erythematosus (n=24) compared with healthy controls (n=20). Disease activity index correlated positively with serum malondialdehyde level (r=0.47, p<0.05), erythrocyte sedimentation rate (r=0.41, p<0.05) and C-reactive protein concentration (r=0.41, p<0.05), while it correlated negatively with serum superoxide dismutase (r=0.42, p<0.05) and glutathione peroxidase (r=-0.44, p<0.05) activities in patients. No such correlations were found in healthy control subjects. It remains to be seen whether correlations found between disease activity score and serum malondialdehyde level, and also activities of serum superoxide dismutase and glutathione peroxidase enzymes observed in the present study may be used to predict prognosis in patients with systemic lupus erythematosus.
Optimization of a 660 MWe Supercritical Power Plant Performance—A Case of Industry 4.0 in the Data-Driven Operational Management. Part 2. Power Generation (2020)

Modern data analytics techniques and computationally inexpensive software tools are fueling the commercial applications of data-driven decision making and process optimization strategies for complex industrial operations. In this paper, modern and reliable process modeling techniques, i.e., multiple linear regression (MLR), artificial neural network (ANN), and least square support vector machine (LSSVM), are employed and comprehensively compared as reliable and robust process models for the generator power of a 660 MWe supercritical coal combustion power plant. Based on the external validation test conducted by the unseen operation data, LSSVM has outperformed the MLR and ANN models to predict the power plant’s generator power. Later, the LSSVM model is used for the failure mode recovery and a very successful operation control excellence tool. Moreover, by adjusting the thermo-electric operating parameters, the generator power on an average is increased by 1.74%, 1.80%, and 1.0 at 50% generation capacity, 75% generation capacity, and 100% generation capacity of the power plant, respectively. The process modeling based on process data and data-driven process optimization strategy building for improved process control is an actual realization of industry 4.0 in the industrial applications.
Experimental and theoretical study of the equation of state of liquid ethylene (1982)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTExperimental and theoretical study of the equation of state of liquid ethyleneJorge C. G. Calado, Paulette Clancy, Andreas Heintz, and William B. StreettCite this: J. Chem. Eng. Data 1982, 27, 4, 376–385Publication Date (Print):October 1, 1982Publication History Published online1 May 2002Published inissue 1 October 1982https://pubs.acs.org/doi/10.1021/je00030a004https://doi.org/10.1021/je00030a004research-articleACS PublicationsRequest reuse permissionsArticle Views147Altmetric-Citations31LEARN 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
A case study of 3D stereoscopic vs. 2D monoscopic tele-reality in real-time dexterous teleoperation (2005)

This paper reports a case study of using single 3D stereoscopic visual feedback for real-time teleoperation of dexterous tasks. In traditional teleoperation systems, real-time visual feedbacks of multiple monoscopic views of the robot workspace are provided for remote operator. However, it is difficult for the operator to control remote robot to perform dexterous tasks by looking at multiple video feedbacks at the same time. During teleoperation, remote operators usually find multiple 2D visual feedbacks confusing, especially when performing dexterous tasks that require accurate positioning and orientating of robot end-effectors. In this paper, we propose to provide single real-time 3D stereoscopic visual feedback for remote operators so that they perceive remote robot workspace with the sense of depth. This sense of 3D empowers remote operators to accurately position and orient robot end-effector with confidence. Experiments have been conducted to reveal the usefulness of real-time 3D stereoscopic video feedback over multiple monoscopic video feedback in real-time teleoperation.
cis -Prenyltransferase interacts with a Nogo-B receptor homolog for dolichol biosynthesis in Panax ginseng Meyer (2017)

Partial complementation of the yeast dolichol biosynthesis mutant <i>rer2Δ</i> suggested that PgCPT1 is involved in dolichol biosynthesis. Direct protein interaction between PgCPT1 and a human Nogo-B receptor homolog suggests that PgCPT1 requires an accessory component for proper function.
Workflow Technology Enabled e-Training System: Toward Work Process (2009)

E-training has become one of the most important means of human resource development in many industries. However, there are many problems, such as lecture-dominated rather than process-oriented, de-contextualization of training, and the flow of training activities not visualized in the system. The author proposes to use workflow technology to tackle these problems. This paper builds a new training paradigm which is oriented to work process by integrating workflow technology into e-training, and develops workflow-enabled e-training course, activity structure and system architecture to support training. This novel system makes the training more relevant for the trainee, and enhances the efficiency and effectiveness of e-training.
[Al<sub>4</sub>(OH)<sub>2</sub>(OCH<sub>3</sub>)<sub>4</sub>(H<sub>2</sub>N‐bdc)<sub>3</sub>]⋅<i>x</i> H<sub>2</sub>O: A 12‐Connected Porous Metal–Organic Framework with an Unprecedented Aluminum‐Containing Brick (2009)

Al together now! A new stable aluminum aminoterephthalate system contains octameric building blocks that are connected by organic linkers to form a 12-connected net (see picture). The structure adopts a cubic centered packing motive in which octameric units replace individual atoms, thus forming distorted octahedral (red sphere) and tetrahedral cages (green spheres) with effective accessible diameters of 1 and 0.45 nm, respectively.
Quantum capacitance devices (1988)

Two-dimensional electron gas (2DEG) in a quantum well or inversion layer, unlike an ordinary grounded metallic plane, does not completely screen an applied transverse electric field. Owing to its Fermi degeneracy energy, a 2DEG manifests itself as a capacitor in series, whose capacitance per unit area equals CQ=me2/πℏ2, where m is the effective electron mass in the direction transverse to the quantum well. Partial penetration of an external field through a highly conducting 2DEG allows the implementation of several novel high-speed devices, including a three-terminal resonant-tunneling transistor and a gate-controlled thermionic emission transistor.
Efficient Computation in Adaptive Artificial Spiking Neural Networks (2017)

Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in ANNs exchange analog values in a frame-based manner, a computationally and energetically inefficient form of communication. This contrasts sharply with biological neurons that communicate sparingly and efficiently using binary spikes. While artificial Spiking Neural Networks (SNNs) can be constructed by replacing the units of an ANN with spiking neurons, the current performance is far from that of deep ANNs on hard benchmarks and these SNNs use much higher firing rates compared to their biological counterparts, limiting their efficiency. Here we show how spiking neurons that employ an efficient form of neural coding can be used to construct SNNs that match high-performance ANNs and exceed state-of-the-art in SNNs on important benchmarks, while requiring much lower average firing rates. For this, we use spike-time coding based on the firing rate limiting adaptation phenomenon observed in biological spiking neurons. This phenomenon can be captured in adapting spiking neuron models, for which we derive the effective transfer function. Neural units in ANNs trained with this transfer function can be substituted directly with adaptive spiking neurons, and the resulting Adaptive SNNs (AdSNNs) can carry out inference in deep neural networks using up to an order of magnitude fewer spikes compared to previous SNNs. Adaptive spike-time coding additionally allows for the dynamic control of neural coding precision: we show how a simple model of arousal in AdSNNs further halves the average required firing rate and this notion naturally extends to other forms of attention. AdSNNs thus hold promise as a novel and efficient model for neural computation that naturally fits to temporally continuous and asynchronous applications.
Discovery of Orally Bioavailable Cathepsin S Inhibitors for the Reversal of Neuropathic Pain (2008)

Cathepsin S inhibitors are well-known to be an attractive target as immunological therapeutic agents. Recently, our gene expression analysis identified that cathepsin S inhibitors could also be effective for neuropathic pain. Herein, we describe the efficacy of selective cathepsin S inhibitors as antihyperalgesics in a model of neuropathic pain in rats after oral administration.
Efficient Calf Thymus DNA Condensation upon Binding with Novel Bile Acid Polyamine Amides (2002)

Polyamine amides have been prepared from lithocholic and cholic acids (5beta-colanes) by acylation of tri-Boc-protected tetraamines spermine and thermine. These designed ligands for DNA are polyammonium ions at physiological pH. In NMR spectra, they display 14N-1H 1J = 51 Hz, 1:1:1 triplets, due to the symmetry of the R14NH(3)+ cations. The binding affinities of these conjugates for calf thymus DNA were determined using an ethidium bromide fluorescence quenching assay and compared with spermine and polylysine. DNA-binding affinities were dependent upon both salt concentration and the hydrophobicity or intermolecular bonding (facial effects) of the lipid moieties in these conjugates. Light scattering at 320 nm was used to determine DNA condensation and particle formation. The observed self-assembly phenomena are discussed with respect to DNA charge neutralization and DNA bending with loss of ethidium cation intercalation sites, ultimately leading to DNA condensation. These polyamine amides are models for lipoplex formation with respect to gene delivery (lipofection), a key first step in gene therapy.
Hyperpigmentation: a review of common treatment options. (2005)

Hyperpigmentation disorders are common and include a multitude of forms. They are typically divided into three large categories: dermal, epidermal, or mixed, depending on the site of abnormality. The location of the increased melanin affects treatment options, but therapy within a group is often similar. This paper discusses the treatment modalities, including topical and surgical approaches, available for the different types of hyperpigmentation.
Jugend und Archäologie in der Schweiz: Museumspädagogik in archäologischen Museen (2017)

[nicht vorhanden / not available]
Crystal structure of the adenosine A<sub>2A</sub>receptor bound to an antagonist reveals a potential allosteric pocket (2017)

The adenosine A<sub>2A</sub> receptor (A<sub>2A</sub>R) has long been implicated in cardiovascular disorders. As more selective A<sub>2A</sub>R ligands are being identified, its roles in other disorders, such as Parkinson's disease, are starting to emerge, and A<sub>2A</sub>R antagonists are important drug candidates for nondopaminergic anti-Parkinson treatment. Here we report the crystal structure of A<sub>2A</sub> receptor bound to compound 1 (Cmpd-1), a novel A<sub>2A</sub>R/<i>N</i>-methyl d-aspartate receptor subtype 2B (NR2B) dual antagonist and potential anti-Parkinson candidate compound, at 3.5 Å resolution. The A<sub>2A</sub> receptor with a cytochrome b562-RIL (BRIL) fusion (A<sub>2A</sub>R-BRIL) in the intracellular loop 3 (ICL3) was crystallized in detergent micelles using vapor-phase diffusion. Whereas A<sub>2A</sub>R-BRIL bound to the antagonist ZM241385 has previously been crystallized in lipidic cubic phase (LCP), structural differences in the Cmpd-1-bound A<sub>2A</sub>R-BRIL prevented formation of the lattice observed with the ZM241385-bound receptor. The crystals grew with a type II crystal lattice in contrast to the typical type I packing seen from membrane protein structures crystallized in LCP. Cmpd-1 binds in a position that overlaps with the native ligand adenosine, but its methoxyphenyl group extends to an exosite not previously observed in other A<sub>2A</sub>R structures. Structural analysis revealed that Cmpd-1 binding results in the unique conformations of two tyrosine residues, Tyr9<sup>1.35</sup> and Tyr271<sup>7.36</sup>, which are critical for the formation of the exosite. The structure reveals insights into antagonist binding that are not observed in other A<sub>2A</sub>R structures, highlighting flexibility in the binding pocket that may facilitate the development of A<sub>2A</sub>R-selective compounds for the treatment of Parkinson's disease.
Priority based optimal resource reservation mechanism in constrained Networks for IOT applications (2016)

In recent times Internet of Things (IoT) has gained popularity because of its characteristics in connecting and providing communication among various physical objects and devices enabling collection of diverse data that help making smart and educated decisions which in turn help making human life simple, safe and efficient. Traditional Wireless Sensor Networks (WSNs) are now becoming mainstream data source for IoT applications by connecting to uniquely addressable and routable gateways. Wireless Sensor Networks are defined as a collection of devices with limited resources like processing, memory, power and bandwidth, deployed for sensing various scalar and multimedia data with diverse traffic types. These data are critical and has to reach the sink in time. The constrained nature of the network with inherent approach of best effort data delivery, not only imposes challenges in reliable transmission of data but also the real time delivery of the data. With increasing use of IoT technology in Smart solutions such as Access control, Real time inventory, Flow optimization, one of the key problems of next generation WSNs is the real-time management and control of network paths within the sensor network so that mission critical data from sensor nodes reaches the IoT Gateway in real-time. In addition, given the myriad type of applications in WSN, imposes the need to segregate and treat data traffic variedly based on the criticality of the application and/or data. Hence there is a need to address the aspects of optimal usage of resources for handling delivery of critical data satisfying its Quality of Service (QoS) requirements within the sensor network. This paper proposes optimal resource reservation mechanism which has resulted in optimal utilization of resources by allocating sufficient resources for prominent and critical data and hence reducing the delay and increasing the performance of the system.