Miracle-dz/UniFAR-FTUs huggingface dataset:
A Frequency Domain Selection Criterion for Regression with Autocorrelated Errors

Abstract We consider the regression model yt = η t + e t , t = 0, 1, …, n − 1, where y t are scalar observations, η t is the unknown regression function, and e t are unobservable errors generated by a zero-mean weakly stationary process, independent of η t and with completely unknown autocorrelation structure. We propose a data-driven method for selecting a parametric or nonparametric estimator of η t . The method is based on cross-validation in the frequency domain and requires no assumptions about the form of the estimator or the error correlations. It does, however, require the discrete Fourier transform (DFT) of the signal η t to be a smooth complex function of frequency, as is the case, for example, with transient signals or growth and decay curves. After giving some general motivations for the method, we focus on the special case of linear estimators of a nonparametric regression function, including both kernel and spline estimators. For these estimators, we develop efficient methods of evaluating t.
Large Kerr coefficient induced by THz driven to intersubband of a GaN/AlGaN asymmetric quantum well nanostructure

In this article, a large Kerr nonlinearity induced by THz driven to intersubband of a GaN/AlGaN asymmetric quantum well nanostructure is investigated. To obtain the Kerr nonlinearity of the nanostructure, potential profiles, energy eigenvalues and wavefunctions, and overlap integrals are obtained by solving the Schrödinger and Poisson equations self-consistently. Knowing energy levels and related wavefunctions, one can investigate the nonlinear response of the structure by solving the density matrix equations of motion in the rotating wave approximation. The effect of the THz field, the control field, and the effect of the THz field detuning on the Kerr nonlinearity and the nonlinear absorption are observed. Our obtained results show that these parameters variations can cause a large Kerr nonlinearity and nonlinear absorption in GaN/AlGaN asymmetric quantum well nanostructure.
Quantification of Reservoir Fluid Prediction Uncertainty Using AVO Fluid Inversion (AFI)

The AVO fluid inversion (AFI) technique was used to assess for fluids at the target levels of OPL-X in the deepwater Niger Delta, Nigeria. In this study, attempt is made to get a quantitative probability estimate of the possible reservoir fluids in both the shallow and deeper target levels. This was achieved through the development of a stochastic AVO model and an inversion to probability of different fluids using the Bayesian approach. AVO Fluid Inversion (AFI) technique provides a robust and inexpensive method for identifying potential hydrocarbon-filled reservoirs and provides a quantitative estimates of the uncertainties inherent in the prediction.
The Use of Spraying Methods and of Volatile Suspending Media in the Preparation of Specimens for Electron Microscopy

Developments have been made in the use of spraying methods in the preparation of specimens for examination in the electron microscope. At the same time, two wholly volatile diluents, containing electrolytes and adjusted to normal pH, have been developed for use in forming the spray drops. The use of volatile electrolytes makes it unnecessary to wash the specimen after the droplet patterns have been formed on the specimen screens.There are several qualitative and quantitative uses and advantages of the spray technique as described. The qualitative ones are these: (1) the brief drying time of the droplets helps to preserve the shapes of particles upon drying, and also allows studies to be made of rapidly reacting systems; (2) since the drop patterns are reproducibly representative samples of the suspension under investigation, qualitative assays of the particulate composition of the suspension can be made, and a comparison of the particulate composition of two closely similar suspensions can be made under i.
Effect of Pink Rock Rose Extract with or Without Ascorbic Acid and Sodium Ascorbate for the Preservation of Ready-to-Eat Frankfurter Type Sausages

This study aimed to determine the effect of pink rock rose extract (PRR) with or without ascorbic acid and sodium ascorbate for improving the shelf life of sausages. Analyzed parameters were DPPH radical scavenging capacity of PRR extract; total aerobic count, thiobarbituric acid reactive substance, heme iron, pH, water activity, proximate composition, and color values of MAP packaged sausages for 12 weeks at 4 °C. Treatments: (1) Control (0.02% ascorbic acid and 0.05% sodium ascorbate – AA-SA), (2) electrostatic spray application of PRR extract (2%) – ES-PRR, (3) 0.02% AA and, 0.05% PRR extract, (4) 0.05% SA and 0.02% PRR, (5) 0.07% PRR extract. PRR extract had the half maximal inhibitory concentration (IC50) value of 13.04 ± 0.133 µg/mL. Sausages formulated with 0.07% PRR had the lowest microbial growth rate, followed by AA-PRR formulation. The AA-PRR treatment had the lowest TBARS values for most of the storage. This study reveals that PRR extract can be added as a natural antioxidant in sausages, and it could be used as a replacement or for the reduction of ascorbic acid and sodium ascorbate in sausage formulations.
Modulation of oxidative burst with exposure to cytokines in neutrophil cell activation

Neutrophils are essential for killing microorganisms and have a significant role in regulation of inflammatory response. Generation of reactive oxygen species (ROS) is one of the critical events that modulate the immune response in phagocytic cells. Stimulated neutrophils activate membrane-associated NADPH oxidase (NOX2) resulting in a powerful oxidative burst during which a large amount of oxygen is consumed generating ROS. The Agilent Seahorse XF analyzer is used to quantify oxygen consumption rate (OCR) as a direct non-invasive measure of neutrophil activation. In this study, neutrophil activation in the presence of cytokines known to be expressed within microenvironments in normal and disease states is evaluated. Treatment of neutrophils with the inflammatory cytokine TNFα induces oxidative burst within an hour of treatment, as observed in real time using the XF analyzer. Interestingly, pretreatment with TNFα reduces the oxidative burst observed when neutrophils were activated with phorbol myristate acetate (PMA). In contrast, treatment with GM-CSF and IL1 β had no acute effect in inducing oxidative burst. Rather, pretreatment of neutrophils with GM-CSF and IL1 β primed them for an enhanced response to PMA and a reduced elapsed time to reach maximal activation. Of note, the oxidative burst observed is associated with simultaneous increased of proton efflux rate (PER), indicative of the dependence on glycolysis and pentose phosphate pathway for production of NADPH during oxidative burst. These results, show the utility of the XF neutrophil activation assay to study the effect of modulators such drug treatments, microenvironment and disease progression during innate immune response.
Acceleration of the generalized Landweber method in Banach spaces via sequential subspace optimization

Abstract The Landweber method is a well-known iterative procedure to compute regularized solutions of linear operator equations in Hilbert spaces. Unfortunately it is also known to be very slow. Likewise its generalization to Banach spaces has good regularizing properties but slow convergence. This article intends to give a short survey about the use of sequential subspace optimization to accelerate this method while preserving its regularizing properties.
Graphical Exploratory Analysis of Survival Data

Abstract We present dynamic and static graphs for exploratory analysis of survival data. These graphs are based on a smooth semiparametric estimate of the survival probability as a function of time and a covariate. We overlay a contour plot of the conditional survival distribution on a scatterplot of time and covariate. This is augmented by plots of the estimated survival function at particular covariate values and the receiver operating characteristic curve at particular time points. In our XLisp-Stat implementation these plots are linked and the time and covariate values for the augmenting plots can be varied dynamically. The methods are illustrated on data from a clinical study of liver disease.
Pair collisions of fluid-filled elastic capsules in shear flow: Effects of membrane properties and polymer additives

The dynamics and pair collisions of fluid-filled elastic capsules during Couette flow in Newtonian fluids and dilute solutions of high-molecular weight (drag-reducing) polymers are investigated via direct simulation. Capsule membranes are modeled using either a neo-Hookean constitutive model or a model introduced by Skalak et al. [“Strain energy function of red blood-cell membranes,” Biophys. J. 13, 245 (1973)], which includes an energy penalty for area changes. This model was developed to capture the elastic properties of red blood cells. Polymer molecules are modeled as bead-spring trimers with finitely extensible nonlinearly elastic springs; parameters were chosen to loosely approximate 4000 kDa poly(ethylene oxide). Simulations are performed with a novel Stokes flow formulation of the immersed boundary method for the capsules, combined with Brownian dynamics for the polymer molecules. The results for isolated capsules in shear indicate that at the very low concentrations considered here, polymers have.
Orthogonal Information Structures: a Model to Evaluate the Information Provided by a Second Opinion

The paper discusses the value of information when a numberof independent sources provide information related to acommon set of states of nature.The starting point is the Information Economic model ofInformation Structures. The model is augmented to representindependence of informational sources by means oforthogonality of the information structures.A new mathematical operator, orthogonal product, is definedand its properties are probed. It is shown that thisoperator maintains some mathematical properties such asclosure, association, unity element, null element, etc. Itis demonstrated how the orthogonal product represents thenotion of multi-source information.The paper proves that an orthogonal product is generallymore informative than its multipliers, namely, if cost isnot considered a constraining factor, then there is a nonnegativevalue to obtaining a second opinion.The paper concludes with a numerical example and adiscussion on the applicability of the model oforthogonality.
Real-Time Multi-Pattern Detection over Event Streams

Rapid advances in data-driven applications over recent years have intensified the need for efficient mechanisms capable of monitoring and detecting arbitrarily complex patterns in massive data streams. This task is usually performed by complex event processing (CEP) systems. CEP engines are required to process hundreds or even thousands of user-defined patterns in parallel under tight real-time constraints. To enhance the performance of this crucial operation, multiple techniques have been developed, utilizing well-known optimization approaches such as pattern rewriting and sharing common subexpressions. However, the scalability of these methods is limited by the high computation overhead, and the quality of the produced plans is compromised by ignoring significant parts of the solution space. In this paper, we present a novel framework for real-time multi-pattern complex event processing. Our approach is based on formulating the above task as a global optimization problem and applying a combination of sharing and pattern reordering techniques to construct an optimal plan satisfying the problem constraints. To the best of our knowledge, no such fusion was previously attempted in the field of CEP optimization. To locate the best possible evaluation plan in the resulting hyperexponential solution space, we design efficient local search algorithms that utilize the unique problem structure. An extensive theoretical and empirical analysis of our system demonstrates its superiority over state-of-the-art solutions.
A new function of the optical-multiplex image-acquisition system

We have previously reported an image capturing system called the optical-multiplex system comprised of an image sensor and a multi-lens array, which is compact and light and has a deep depth of field. In the system, light passes through five lenses in an aperture sheet and the object is detected by an image sensor. This system is unique because the object data passing through each of the lenses is a specific range of data, which is coordinated on the pixel array. This is in contrast to the current multi-lens systems, in which the object data from each lens is completely independent. We are now able to report that our system can coordinate data from both an object at a very far distance and an object at a measurable distance, suggesting that information from these two categories of objects can be separated by the opticalmultiplex system using new algorithm.
The Conway–Maxwell–Poisson-generalized gamma regression model with long-term survivors

In this paper, we proposed a flexible cure rate survival model by assuming the number of competing causes of the event of interest following the Conway–Maxwell distribution and the time for the event to follow the generalized gamma distribution. This distribution can be used to model survival data when the hazard rate function is increasing, decreasing, bathtub and unimodal-shaped including some distributions commonly used in lifetime analysis as particular cases. Some appropriate matrices are derived in order to evaluate local influence on the estimates of the parameters by considering different perturbations, and some global influence measurements are also investigated. Finally, data set from the medical area is analysed.
Optical constants of Inconel alloy films

The optical constants n and k of Inconel alloy films are presented for film thicknesses between 200 and 900 A for the visible and near infrared spectrum. Values of n and k were determined from ellipsometric measurements and, separately, from reflection and transmission measurements at normal and oblique incidence. Results of both methods are compared and the effects of film preparation, aging, and surface condition are discussed.
RESONANCES OF AN ELASTIC PLATE IN A COMPRESSIBLE CONFINED FLUID

We present a theoretical study of the resonances of a fluid-structure problem, an elastic plate placed in a duct in the presence of a compressible fluid. The case of a rigid plate has been largely studied. Acoustic resonances are then associated to resonant modes trapped by the plate. Due to the elasticity of the plate, we need to solve a quadratic eigenvalue problem in which the resonance frequencies k solve the equations γ(k) = k2, where γ are the eigenvalues of a self-adjoint operator of the form A + kB. First, we show how to study the eigenvalues located below the essential spectrum by using the min-max principle. Then, we study the fixed-point equations. We establish sufficient conditions on the characteristics of the plate and of the fluid to ensure the existence of resonances. Such conditions are validated numerically. © The author 2007. Published by Oxford University Press; all rights reserved.
A Review on Data Mining Algorithms in Cloud Environment

Data and information are basis for today’s industrial and day to day applications of almost every domain. The volume of data for most of human friendly applications is generally enormous in nature and thus it is mandatory to scale them in pre-defined clusters based on their properties. Data mining has always interested the researchers to characterize the data and is integrated in applications like: Statistics, Machine Learning, Artificial Intelligence, pattern recognition etc. Data mining applications can derive much demographic information concerning customers that was previously not known or hidden in the data. We have recently seen an increase in data mining techniques targeted to such applications as fraud detection, identifying criminal suspects, and prediction of potential terrorists. By and large, data mining systems that have been developed to data for clusters, distributed clusters and grids have assumed that the processors are the scarce resource, and hence shared. When processors become available, the data is moved to the processors. This paper surveys some data mining methods in their actual nature and modifications made in their algorithms for better output in their performance.
BUBBLE DYNAMICS IN 2D BUBBLE COLUMN: COMPARISON BETWEEN HIGH-SPEED CAMERA IMAGING ANALYSIS AND 4-POINT OPTICAL PROBE

Two-dimensional (2D) bubble columns have been used in the literature to study the detailed flow field for evaluation and validation of computational fluid dynamics (CFD) and for developing the needed closures and interfacial forces models for gas-water systems. Hence, this work focuses on investigating the bubble dynamics (i.e., local gas holdup, bubble velocity, bubble chord length, and frequency) in a 2D bubble column. Two advanced measurement techniques were implemented in this work, high-speed video camera imaging and a four-point optical probe. A new method for analysis of video camera imaging was employed. The results of both techniques were compared. The results show good overall agreement between the two methods for the horizontal profile of both bubble size and gas holdup. The findings revealed a strong positive correlation between bubble size and gas holdup. It was found that video image analysis could become an accurate, noninvasive alternative to fiber optical probes, at least in 2D systems, although the technique needs more refinement.
Coherent and incoherent d band dispersions in SrVO 3

We have performed an angle-resolved photoemission spectroscopy study of ${\text{SrVO}}_{3}$ thin films. Utilizing thin films prepared in situ, with well-defined and atomically flat surfaces, contributions from surface states centered at $\ensuremath{\sim}\ensuremath{-}1.5\text{ }\text{eV}$ were dramatically reduced, enabling us to study the bulklike $\text{V}\text{ }3d$ states, including the incoherent part. A clear band dispersion is observed not only in the coherent part but also in the incoherent part and the spectral weight of the incoherent part is larger within the Fermi volume. These findings are particularly significant since the description of the so-called incoherent Hubbard band in ${\text{SrVO}}_{3}$ needs to include the nonlocal interaction between the atoms. These trends are well reproduced by dynamical mean-field theory calculations.
Distributed feedback gallium nitride nanowire lasers

Achieving single-mode laser operation in nanowire lasers remains a challenge due to a lack of mode selection approaches. We have implemented single-mode lasing using distributed feedback by externally coupling gallium nitride nanowires to a dielectric grating to achieve mode-control. The effective periodicity of the grating experienced by the nanowire was altered using nanomanipulation to change the angular alignment between the nanowire and the grating. The effective periodicity controls the spectral location of the distributed feedback stop-band. Single-mode emission was achieved at an alignment, where the designed periodicity of the grating was experienced by the nanowire.
Single‐crystal growth and piezoelectric properties of lead potassium niobate

Large single crystals of lead potassium niobate were grown by the method of pulling from a melt, and their piezoelectric properties were preliminarily investigated. The crystals have ferroelectric tungsten bronze structure with a Curie point of about 460°C. Spontaneous polarization lies perpendicular to the c axis as in ferroelectric PbNb2O6. Particularly large electromechanical coupling factors were measured; i.e., 0.69 ± 0.03, 0.73 ± 0.03, and 0.59 ± 0.01 for k15, k24, and kt, respectively. Temperature coefficients of the fundamental resonant frequencies in y‐ and z‐cut plates were found to be <30 ppm around room temperature.
OVERVIEW OF LANL PROGRESS IN PROCESS DEVELOPMENT , ADVANCED CHARACTERIZATION METHODS AND PROTOTYPE FABRICATION

Recent progress at LANL in process development, advanced characterization method development, prototype fabrication and alternate process development for monolithic LEU fuel will be discussed. Process development studies included HIP (Hot Isostatic Pressing) can design development and plasma spraying of zirconium. Progress on design and testing of formed HIP cans will be presented. Advanced characterization method development concentrated on interface bond strength measurement. Fracture energy results from both bulge testing and notched minicantilever testing will be presented. Maps of zirconium thickness on cold rolled LEU foils were performed using x-ray fluorescence. Residual stress measurements were made using synchrotron x-ray radiation and the incremental slitting method. The processing which produced two prototypical LEU foils will be discussed.
Near-Field Measurement and Modeling Results for Flight-Type Arcjet: Hydrogen Atom

Hydrogen atoms were probed in the near-e eld plume of a 1.8-kW e ight-type arcjet thruster, using two-photon laser-induced e uorescence. The arcjet was operated on an N 2/H2 gas mix simulating hydrazine decomposition products. Thevelocity distributionsof Hatoms were used to obtain theirtranslational temperatures. Comparisons of the laser-induced e uorescence signal intensity, radial linewidth, and derived density distribution with direct simulation Monte Carlo results were in good agreement except near the nozzle exit plane. A relatively weak signal was observed near the exit plane, while the maximum signal was unexpectedly obtained 0.8 cm downstream. Fluorescence quenching, linewidth variation, and self-absorption effects are proposed to account for most of the discrepancy in signal intensity. The results improve the knowledge of near-e eld e ow parameters for the arcjet and ultimately enhance the accuracy and understanding of predicted plume impingement torques and other arcjet plume phenomenology on spacecraft.
Teleportation of two-atom entangled state in resonant cavity quantum electrodynamics

An alternative scheme is presented for teleportation of a two-atom entangled state in cavity quantum electrodynamics (QED). It is based on the resonant atom–cavity field interaction. In the scheme, only one cavity is involved, and the number of the atoms needed to be detected is decreased compared with the previous scheme. Since the resonant atom–cavity field interaction greatly reduces the interaction time, the decoherence effect can be effectively suppressed during the teleportation process. The experimental feasibility of the scheme is discussed. The scheme can easily be generalized to the teleportation of N-atom Greeninger–Horne–Zeilinger (GHZ) entangled states. The number of atoms needed to be detected does not increase as the number of the atoms in the GHZ state increases.
Iterative determination of permittivity and conductivity profiles of a dielectric slab in the time domain

A numerical method is presented to compute one unknown constitutive parameter of an inhomogeoeous lossy dielectric slab from the reflected field in the time domain. The method is based upon a space-time discretization of the integral equation for the reflected field. In the inversion, especially those space-time points where the numerical computation of the electric-field strength in the slab is most accurate are taken into account. This is achieved by computing the unknown parameter iteratively. Alternately solving equations for an approximate direct-scattering problem and an approximate inverse-scattering problem yields successive approximations for the electric field in the slab and the unknown constitutive coefficient. Both problems lead to an infinite system of linear equations from which a finite subsystem is selected. General criteria for this selection are presented. Various profiles have been reconstructed numerically from the reflected field due to a sine-squared incident pulse.