gebhart/patrepeval huggingface dataset:
Secondary ion mass spectrometry of metal halides. 2. Evidence for structure in alkali iodide clusters (1982)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSecondary ion mass spectrometry of metal halides. 2. Evidence for structure in alkali iodide clustersT. M. Barlak, J. R. Wyatt, R. J. Colton, J. J. DeCorpo, and J. E. CampanaCite this: J. Am. Chem. Soc. 1982, 104, 5, 1212–1215Publication Date (Print):March 1, 1982Publication History Published online1 May 2002Published inissue 1 March 1982https://pubs.acs.org/doi/10.1021/ja00369a010https://doi.org/10.1021/ja00369a010research-articleACS PublicationsRequest reuse permissionsArticle Views201Altmetric-Citations116LEARN 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
Self-writing a depressed index waveguide in bulk glass (2003)

Summary from only given. We recently observed such a decrease in bulk Nd-doped BK7 glass. Negative index changes allow a new range of waveguide structures to be self-written, and this has not been previously explored. We report here on the first numerical simulations of self-writing a depressed index structure, and present simulations of complicated self-written structures in a bulk geometry. Note that few simulations have been carried out in the bulk geometry as these calculations are computationally intensive.
Broken Glide-Symmetric Holey Structures for Bandgap Selection in Gap-Waveguide Technology (2019)

In this letter, we propose a new technique to tune the bandgap in gap-waveguide technology based on broken glide-symmetric holey structures. We demonstrate that breaking the glide symmetry in a proper manner provokes the presence of a passband within the bandgap due to the frequency sweep of the second propagating mode. This passband generates field leakage in the gap that is translated into a filtering property. This filtering effect may be used to reduce or eliminate filters in large complex devices. In order to avoid undesired coupling due to the leakage from the air gap between the plates, an absorbing sheet is proposed to dissipate the undesired fields. This idea has been numerically studied and experimentally validated with a specific design, a WR15-size gap-waveguide prototype with glide-symmetric holes with filtering properties.
Electronic switching in amorphous silicon devices: properties of the conducting filament (2002)

It has been amply demonstrated that non-volatile memory switching in metal-hydrogenated amorphous silicon-metal structures is crucially dependent on the formation of a conducting filament during the very first switching operation. In this paper we review the evidence which shows that the filament is an inclusion in the amorphous silicon made up of metallic particles from the top contact dispersed in an insulating matrix and that its critical dimensions are on the scale of nanometres. Particular attention is given to recent work on metal nonmetal transitions and a dielectric anomaly associated with the filament. These and earlier experiments all provide consistent evidence for the mesoscopic dimensions of the active filament region in which switching occurs.
Deep Learning in Finance (2016)

We explore the use of deep learning hierarchical models for problems in financial prediction and classification. Financial prediction problems -- such as those presented in designing and pricing securities, constructing portfolios, and risk management -- often involve large data sets with complex data interactions that currently are difficult or impossible to specify in a full economic model. Applying deep learning methods to these problems can produce more useful results than standard methods in finance. In particular, deep learning can detect and exploit interactions in the data that are, at least currently, invisible to any existing financial economic theory.
Effect of VHa locus allotype-suppression on the expression of closely linked VHx, VHy, and Cmun genes in heterozygous rabbits. (1976)

Injection of a1x-y-n81/a2x32y33n82 heterozygous rabbit at birth with anti-a2 allotype antiserum suppresses the production of the VHa2 gene product a2 Ig as well as the expression of the closely linked Cmun gene product n82 but not of the closely linked VHx and VHy gene products x32 and x33. This effect is related to the appearance of a2 and n82 on the same IgM molecules whereas a2, x32, and y33 appear on different Ig molecules.
Neue Wachstums- und Innovationspolitik in Deutschland und Europa (2003)

Die Unterschiedlichkeit der Wachstumsraten in der Eurozone und insbesondere die Wachstumsschwache Deutschlands im Vergleich zu der starken Wachstumsbeschleunigung in den USA in den 90er Jahren sind Anlass fur die fundierte Untersuchung von Wirtschafts- und Wachstumstrends in diesem Band. Dabei wird die Wachstumsdynamik in Verbindung mit strukturellem Wandel sowie Innovations- und Aussenhandelsdynamik analysiert. Besondere Berucksichtigung findet die Wachstumsrelevanz der New Economy. Neben weiteren empirischen Befunden zur Spezialisierungsentwicklung steht die Diskussion der Optionen einer neuen Wachstums- und Innovationspolitik im Vordergrund. Auch Probleme der EU-Fiskalpolitik werden diskutiert.
Data from The Ashitaba (<i>Angelica keiskei</i>) Chalcones 4-hydroxyderricin and Xanthoangelol Suppress Melanomagenesis By Targeting BRAF and PI3K (2023)

&lt;div&gt;Abstract&lt;p&gt;Malignant melanoma is an aggressive tumor of the skin and still lacks effective preventive and therapeutic treatments. In melanoma, both the BRAF/MEK/ERK and PI3-K/AKT signaling pathways are constitutively activated through multiple mechanisms, which result in cell-cycle progression and prevention of apoptosis. Therefore, the development of novel strategies for targeting BRAF and PI3K are of utmost importance. In this study, we found that Ashitaba (&lt;i&gt;Angelica keiskei&lt;/i&gt;) chalcones, 4-hydroxyderricin (4HD) and xanthoangelol (XAG), suppressed melanoma development by directly targeting both BRAFV600E and PI3K, which blocked the activation of downstream signaling. This led to the induction of G&lt;sub&gt;1&lt;/sub&gt; phase cell-cycle arrest and apoptosis in melanoma cells. Importantly, 4HD or XAG dramatically attenuated tumor incidence and volume in the BRAF-activated &lt;i&gt;Pten&lt;/i&gt;-deficient melanoma mouse model. Our findings suggest that 4HD and XAG are promising chemopreventive or potential therapeutic agents against melanomagenesis that act by targeting both BRAF and PI3K, providing hope for rapid clinical translation. &lt;i&gt;Cancer Prev Res; 11(10); 607–20. ©2018 AACR&lt;/i&gt;.&lt;/p&gt;&lt;/div&gt;
Development and evaluation of LISP-based instant VPN services (2013)

The Locator/ID Separation Protocol (LISP) is being standardized in IETF, which separates the IP address functionality into routing locators (RLOC) and endpoint identifiers (EID). LISP is applicable for instant Virtual Private Network (VPN) services because it has IP tunneling features. However, there are two main issues with application to VPN. One is a Map server/Map resolver (MS/MR) basically allows any third party to know a mapping table even if it is irrelevant to the VPN. The other is an MS/MR should identify the VPN to which the requested site belongs because the requested EIDs can be private addresses and may overlap with other VPN sites. A simple solution is to deploy an independent MS/MR for every VPN. However, this is undesirable from a cost perspective. We present a new LISP-MS/MR that provides a large number of VPN services using a single set. This MS/MR creates a logically separated EID-to-RLOC mapping table for each VPN and selects an appropriate type according to the requesting VPN site. To ensure this, our scheme uses Authentication data included in the Map register for an initial VPN identification of the registering site and associates the identified VPN ID with the registered RLOC. In following Map requests, the appropriate mapping table for the requesting VPN site is selected based on its RLOC. We confirmed the basic network functions of VPN using the prototype system. The results of scalability tests show that our MS/MR completes the transaction for nearly-simultaneous 10,000 Map registers or requests within three seconds.
Applications of Optical Fibers to Spectroscopy: Detection of High Explosives and Other Threat Chemicals (2012)

Natalie Gaensbauer1, Madeline Wrable-Rose1, Gabriel Nieves-Colon2, Migdalia Hidalgo-Santiago2, Michael Ramirez2, William Ortiz2, Oliva M. Primera-Pedrozo2, Yahn C. Pacheco-Londono2, Leonardo C. Pacheco-Londono2 and Samuel P. Hernandez-Rivera2 ALERT DHS Center of Excellence for Explosives 1Northeastern University, Boston, MA, 2Department of Chemistry, University of Puerto Rico, Mayaguez, 1USA 2Puerto Rico
Electrostatically Stabilised Nanoparticles: Self-Organization and Electron-Beam Patterning (2005)

The self-organisation of citrate- and magnesium oleate-stabilised gold nanoparticles on SiO2/Si substrates was investigated. In drop deposition, nucleation of citrate-stabilised gold nanoparticles was observed at the rim of the droplet, symmetric or multibranched dendroid gold structures were found in the area between the rim and the central part of the droplet, depending on the drying temperature. Homogeneous submonolayer nanoparticle coverage was obtained by immersion of amineterminated SiO2/Si surfaces into a citrate-stabilised colloidal gold acidic solution. Drop deposition of magnesium oleate-stabilised gold nanoparticles onto the SiO2/Si surfaces resulted in the formation of uniformly close-packed nanoparticle arrays. Under electron beam irradiation, no apparent changes were found for monolayer films of citrate-stabilized particles, but sintering of the nanoparticles was observed in multilayer films. In contrast, coalescence of magnesium oleate-stabilised gold nanoparticle occurred in monolayer films after electron irradiation.
Coronary calcium scores on dual-source photon-counting computed tomography: an adapted Agatston methodology aimed at radiation dose reduction (2022)

• Mono-energy level-specific Agatston thresholds allow for reproducible coronary artery calcium quantification on mono-energetic images. • Increased calcium contrast-to-noise ratio at reduced mono-energy levels allows for coronary artery calcium quantification at 50% reduced radiation dose for medium- and high-density calcifications.
Exploiting Structure for Fast Kernel Learning (2018)

We propose two methods for exact Gaussian process (GP) inference and learning on massive image, video, spatial-temporal, or multi-output datasets with missing values (or "gaps") in the observed responses. The first method ignores the gaps using sparse selection matrices and a highly effective low-rank preconditioner is introduced to accelerate computations. The second method introduces a novel approach to GP training whereby response values are inferred on the gaps before explicitly training the model. We find this second approach to be greatly advantageous for the class of problems considered. Both of these novel approaches make extensive use of Kronecker matrix algebra to design massively scalable algorithms which have low memory requirements. We demonstrate exact GP inference for a spatial-temporal climate modelling problem with 3.7 million training points as well as a video reconstruction problem with 1 billion points.
Pentraxin 3 as a marker of vasospasm following subarachnoid hemorrhage (2008)

In order to find out the frequency rates of domestic and wild animal bites as well as the evaluation of the prevalence rates of rabies disease in the human population in the Province of Kerman, a retrospective study was designed to analyze statistically the collected recorded data related to this project. Methods This study was conducted within the framework of MPVM student research projects by means of collaboration between
Using A Dsp Controller To Control A Three Phase Induction Motor (2024)

A new course was developed jointly by EE and EET departments at IUPUI to teach power systems that are used in electric vehicles.The course content includes an overview of electric vehicles and has modules that cover batteries, power electronics, motors, and three-phase induction motor control in detail.It has weekly laboratories and a required laboratory project that extends for several weeks.This paper concentrates on the induction motor control module, but gives an overview of the entire course as well.In the portion of the course that examines motor control, students program a DSP controller in C language to control a three-phase induction motor.The new Texas Instruments TMS320C24x DSP controller with a space vector PWM peripheral is used.This device provides a single-chip solution to three-phase induction motor control.All students in the course write an open loop motor control program in C language.Students write software to setup a time base and control a motor by calculating the vector components of the space vectors that switch power transistors of a 3-phase inverter.Special low overhead programming techniques such as sin table lookup must be used to program a fixed-point processor so that it executes fast enough to continuously generate motor outputs in real-time.Students, who choose motor control as their laboratory focus area, are required to implement a closed loop fuzzy logic motor speed control algorithm.The fuzzy logic block examines the motor load, slip angle, and velocity error to determine the next output.The three-phase induction motor control techniques are presented in this paper.
Silver Medal in Acoustical Oceanography (2009)

The Silver Medal is presented to individuals, without age limitation, for contributions to the advancement of science, engineering, or human welfare through the application of acoustic principles, or through research accomplishment in acoustics.
Inhibitory Effect of Pilocarpine on Norepinephrine Release from Electrically Stimulated Iris Dilator Muscles of Rabbits as a Most Possible Mechanism of Pilocarpine-induced Miosis. (1993)

Instillation of pilocarpine-induced a miosis in a rabbit. In an isolated iris sphincter muscle of rabbit, pilocarpine induced a small contraction and behaved as an antagonist of carbachol. The contractile response of an isolated rabbit dilator muscle to a field stimulation was inhibited by pilocarpine. This inhibitory action of pilocarpine was antagonized by atropine in a concentration-dependent manner. An amount of norepinephrine released from the electrically stimulated dilator muscle was inhibited by pilocarpine. The inhibitory effect of pilocarpine on norepinephrine release was decreased by atropine. A following explanation is proposed as a most possible mechanism for the pilocarpine-induced miosis in the rabbit. Pilocarpine activates the prejunctional cholinoceptors to inhibit norepinephrine release from the adrenergic nerve in the dilator muscle. Thus pilocarpine decreases tonus of the dilator muscle and induces the miosis.
Global injectivity and multiple equilibria in uni- and bi-molecular reaction networks (2012)

Dynamical system models of complex biochemical reaction networks are high-dimensional, nonlinear, and contain many unknown parameters.The capacity for multiple equilibria in such systems plays a key rolein important biochemical processes. Examples show that there is a verydelicate relationship between the structure of a reaction network andits capacity to give rise to several positive equilibria. In thispaper we focus on networks of reactions governed by mass-actionkinetics. As is almost always the case in practice, we assume that noreaction involves the collision of three or more molecules at the sameplace and time, which implies that the associated mass-actiondifferential equations contain only linear and quadratic terms. Wedescribe a general injectivity criterion for quadratic functions ofseveral variables, and relate this criterion to a network's capacityfor multiple equilibria. In order to take advantage of this criterionwe look for explicit general conditions that imply non-vanishing ofpolynomial functions on the positive orthant.In particular, we investigate in detail the case of polynomials withonly one negative monomial, and we fully characterize the case ofaffinely independent exponents.We describe several examples, including an example that shows howthese methods may be used for designing multistable chemical systemsin synthetic biology.
Detection of Pinosylvins in Solid Wood of Scots Pine Using Fourier Transform Raman and Infrared Spectroscopy (1999)

Abstract Diffuse reflectance Fourier transform infrared (DRIFT) and near infrared (NIR) FT-Raman spectroscopy were used to detect pinosylvins in the wood of Pinus sylvestris L. trees. NIR FT-Raman spectroscopy offered the possibility of revealing pinosylvins simply by visual inspection of Raman spectra whereas DRIFT spectra needed a more complicated evaluation. Pinosylvin and resin acids from Scots pine were examined as to the possibility of their being the cause of observed spectral differences between sapwood and heartwood. Since pinosylvins are important compounds for the decay resistance of Scots pine wood, the detection of pinosylvins with Raman spectroscopy might be used to assess durability of wood products.
Transition State Force Field for the Asymmetric Redox-Relay Heck Reaction (2020)

A transition state force field (TSFF) was developed using the quantum-guided molecular mechanics (Q2MM) method to describe the stereodetermining migratory insertion step of the enantioselective redox-relay Heck reaction for a range of multisubstituted alkenes. We show that the TSFF is highly predictive through an external validation of the TSFF against 151 experimentally determined stereoselectivities resulting in an <i>R</i><sup>2</sup> of 0.89 and MUE of 1.8 kJ/mol. In addition, limitations in the underlying force field were identified by comparison of the TSFF results to DFT level calculations. A novel application of the TSFF was demonstrated for 31 cases where the enantiomer predicted by the TSFF differed from the originally published values. Experimental determination of the absolute configuration demonstrated that the computational predictions were accurate, suggesting that TSFFs can be used for the rapid prediction of the absolute stereochemistry for a class of reactions. Finally, a virtual ligand screen was conducted utilizing both the TSFF and a simple molecular correlation method. Both methods were similarly predictive, but the TSFF was able to show greater utility through transferability, speed, and interpretability.
A PCA mixture model with an efficient model selection method (2002)

We propose a new type of principal component analysis (PCA) mixture model which consists of a combination of several PCA models as a good estimation model of complex data distribution. The proposed PCA mixture model has a fast and sub-optimal method of model order selection, so that the time-consuming EM learning procedure is executed only once, with all the PCA bases being kept for a given number of mixture components. Using the ordering property of PCA bases, the effect of PCA bases on a good model is evaluated from an appropriate selection criterion, where each less significant PCA base is pruned, starting from the most insignificant PCA base. As the optimal model order for the given problem, we select a pair of the number of mixture components and the number of PCA bases that results in the smallest classification error over the validation data set. Simulation results of the synthetic data classification and eye detection problem show that the proposed model selection method determines the model order appropriately and improves classification and detection performance.
Probabilistic Analytical Model for Settlement Risk Assessment of High-Speed Railway Subgrade (2015)

It is crucial for the design and operation of a high-speed railway to estimate and control the accumulative settlement of the subgrade induced by cyclic train loading. In this study, an analytical model, considering the effect of the initial stress state, is proposed to predict the accumulative settlement of high-speed railway subgrade. Dynamic load triaxial tests are conducted to determine the parameters involved in the computational model. Full-scale model experiments are carried out to verify the effectiveness of the proposed computational model in predicting the accumulative settlement of high-speed railway subgrade. A probabilistic analytical model is developed for a reliability-based settlement risk assessment of the subgrade by considering the uncertainties and randomness of the relevant parameters. The coefficient of variation (COV) of the dynamic stress on the subgrade surface caused by train loading is derived from field data measured on the Wuhan-Guangzhou High-Speed Railway, China. A Monte Carlo simulation is employed to analyze the statistical properties of the accumulative settlement. The effects of the dominant parameters on the reliability index, including the mean value and the COV of the stochastic parameters as well as water level variation, are calculated through a sensitivity analysis.
Ionospheric Simulation System for Satellite Observations and Global Assimilative Model Experiments - ISOGAME (2013)

Modeling and imaging the Earth's ionosphere as well as understanding its structures, inhomogeneities, and disturbances is a key part of NASA's Heliophysics Directorate science roadmap. This invention provides a design tool for scientific missions focused on the ionosphere. It is a scientifically important and technologically challenging task to assess the impact of a new observation system quantitatively on our capability of imaging and modeling the ionosphere. This question is often raised whenever a new satellite system is proposed, a new type of data is emerging, or a new modeling technique is developed. The proposed constellation would be part of a new observation system with more low-Earth orbiters tracking more radio occultation signals broadcast by Global Navigation Satellite System (GNSS) than those offered by the current GPS and COSMIC observation system. A simulation system was developed to fulfill this task. The system is composed of a suite of software that combines the Global Assimilative Ionospheric Model (GAIM) including first-principles and empirical ionospheric models, a multiple- dipole geomagnetic field model, data assimilation modules, observation simulator, visualization software, and orbit design, simulation, and optimization software.
Multi-user detection for asynchronous space-frequency block coded schemes in frequency selective environments (2012)

Multi-user detection is an efficient approach proposed to boost the spectral efficiency of a wireless communication system. While multi-user detection in synchronous systems or in flat fading environments has been successfully addressed, it is still an open and challenging problem in the practical case of asynchronous MIMO systems employing space-frequency (time) block coding and operating in frequency selective environments. In this paper, we show how the concept of multi-user detection can be efficiently extended to the latter case with a low complexity overhead and a small performance loss compared to the synchronous case.