Miracle-dz/UniFAR-FTUs huggingface dataset:
The XMM-Newton view of the eclipse and dips of the dwarf nova Z Chamaleontis

Context. A cataclysmic variable contains a white dwarf that accretes material from a secondary star via the Roche lobe mechanism. Systems with high line-of-sight inclination angles offer the possibility to pinpoint the location of the X-ray emitting region by characterizing the observed eclipse by the secondary star. Aims. We present an XMM-Newton observation of the dwarf nova Z Chamaleontis that we analyzed to determine the properties of the X-ray and optical light curves, as well as the high-energy spectrum. Methods. We performed a spectral analysis of the data taken by the EPIC camera, and a timing analysis of the observed X-ray and optical OM light curves. Results. We find that a multi-temperature plasma component absorbed by ionized material is required to describe the data. In particular, we estimate that the total absorbed flux in the 0.2–9.0 keV band is F Abs.2−9.0 = (4.1 ± 0.1) × 10 −12 erg s −1 cm −2 ,w hich, when accounted for absorption and bolometric correction, corresponds to a bolometric luminosity of L Bol = (6.9 ± 0.1) × 10 30 erg s −1 at a
Refinements to the Graves and Pitarka (2010) Broadband GroundMotion Simulation Method

This brief article describes refinements to the Graves and Pitarka (2010) broadband ground-motion simulation methodology (GP2010 hereafter) that have been implemented in version 14.3 of the Southern California Earthquake Center (SCEC) Broadband Platform (BBP). The updated version of our method on the current SCEC BBP is referred to as GP14.3. Our simulation technique is a hybrid approach that combines lowand high-frequency motions computed with different methods into a single broadband response. The separate lowand high-frequency components have traditionally been called deterministic and stochastic, respectively; however, this nomenclature is an oversimplification. In reality, the low-frequency approach includes many stochastic elements, and likewise, the highfrequency approach includes many deterministic elements (e.g., Pulido and Kubo, 2004; Hartzell et al., 2005; Liu et al., 2006; Frankel, 2009; Graves and Pitarka, 2010; Mai et al., 2010). Although the traditional terminology will likely remain in use by the broader modeling community, in this paper we will refer to these using the generic terminology lowand highfrequency approaches. Furthermore, one of the primary goals in refining our methodology is to provide a smoother and more consistent transition between the lowand high-frequency calculations, with the ultimate objective being the development of a single unified modeling approach that can be applied over a broad frequency band. GP2010 was validated by modeling recorded strong motions from four California earthquakes. Although the method performed well overall, several issues were identified including the tendency to overpredict the level of longer period (2–5 s) motions and the effects of rupture directivity. The refinements incorporated in GP14.3 are aimed at addressing these issues with application to the simulation of earthquakes in western United States (WUS). These refinements include the addition of a deep weak zone (details in following section) to the rupture characterization and allowing perturbations in the correlation of rise time and rupture speed with the specified slip distribution. In addition, we have extended the parameterization of GP14.3 so that it is also applicable for simulating eastern North America (ENA) earthquakes. This work has been guided by the comprehensive set of validation studies described in Goulet et al. (2015) and Dreger et al. (2015). The GP14.3 method shows improved performance relative to GP2010, and we direct the interested reader to Dreger et al. (2015) for a detailed assessment of the current methodology. In this paper, we concentrate on describing the modifications in more detail and also discussing additional refinements that are currently being developed.
Point-of-Care Knowledge-Based Resource Needs of Clinicians

M.A. Ellsworth1; J.M. Homan2; J.J. Cimino3,4; S.G. Peters5; B.W. Pickering6,7; V. Herasevich6,7 1Division of Neonatal Medicine, Mayo Clinic, Rochester, MN; 2Mayo Clinic Libraries, Mayo Clinic, Rochester, MN; 3Laboratory for Informatics Development, NIH Clinical Center, Bethesda, MD; 4Department of Biomedical Informatics, Columbia University, New York, NY; 5Division of Pulmonary and Critical Care, Mayo Clinic, Rochester, MN; 6Department of Anesthesiology, Mayo Clinic, Rochester, MN; 7Multidisciplinary Epidemiology and Translation Research in Intensive Care (METRIC), Mayo Clinic, Rochester, MN
Scattering of electrons from 1-butene, H2C=CHCH2CH3, and 2-methylpropene, H2C=C(CH3)2, molecules

We report absolute grand total cross sections (TCSs) for electron scattering from 1-butene (H2C=CHCH2CH3) and 2-methylpropene (H2C=C(CH3)2) molecules, measured at electron impact energies ranging from 1 to 400 eV and from 1 to 350 eV, respectively, using a linear electron-transmission technique. The general shape of cross sections for both butene isomers looks similar. Two structures in each TCS energy curve are discernible: a small peak in the vicinity of 2.3 eV and a pronounced very broad enhancement with the maximum located around 8 eV. The magnitude of TCS for 2-methylpropene appears somewhat higher than that for 1-butene below 20 eV, while above 70 eV the TCS curves practically overlap. In addition, comparison is made of TCSs for an ethylene (H2C=CH2) molecule and its mono and double methyl-substituted derivatives: propene (H2C=CHCH3) and 2-methylpropene.
Correlation between Diffusion Equation and Schrödinger Equation

The well-known Schrd? inger equation is reasonably derived from the well-known diffusion equation. In the present study, the imaginary time is incorporated into the diffusion equation for understanding of the collision problem between two micro particles. It is revealed that the diffusivity corresponds to the angular momentum operator in quantum theory. The universal diffusivity expression, which is valid in an arbitrary material, will be useful for understanding of diffusion problems.
Axial and transverse stress–strain characterization of the EU dipole high current density Nb3Sn strand

We have measured the critical current (Ic) of a high current density Nb3Sn strand subjected to spatial periodic bending, periodic contact stress and uniaxial strain. The strand is destined for the cable-in-conduit conductors (CICC) of the European dipole (EDIPO) 12.5 T superconducting magnet test facility. The spatial periodic bending was applied on the strand, using the bending wavelengths from 5 to 10 mm with a peak bending strain of 1.5%, a periodic contact stress with a periodicity of 4.7 mm and a stress level exceeding 250 MPa. For the uniaxial strain characterization, the voltage–current characteristics were measured with an applied axial strain from −0.9% to +0.3%, with a magnetic field from 6 to 14 T, temperature from 4.2 to 10 K and currents up to almost 900 A. In addition the axial stiffness was determined by a tensile axial stress–strain test. The characterization of the strand is essential for understanding the behaviour of the strand under mainly axial thermal stress variation during cool down and transverse electromagnetic forces during charging, which is essential for the design of the CICC for the dipole magnet. The strand appears to be fully reversible in the compressive regime during the axial strain testing, while in the tensile regime, the behaviour is already irreversibly degraded when reaching the maximum in the critical current versus strain characteristic. The degradation is accentuated by an immediate decrease of the n value by a factor of 2. The parameters for the improved deviatoric strain description are derived from the Ic data, giving the accuracy of the scaling with a standard deviation of 4 A, which is by far within the expected deviation for the large scale strand production of such a high Jc strand. The Ic versus the applied bending strain follows the low resistivity limit, indicative of full interfilament current transfer, while a strong decrease is observed at a peak bending strain of ∼0.5%. For the periodic contact stress it appears that beyond 60 MPa, the Ic becomes noticeably irreversible. The n value, being a better indicator for the irreversible behaviour than the Ic, seems to indicate a somewhat lower level of the transverse stress irreversibility. Since the strand appears to be quite sensitive to the tensile strain, for the EDIPO CICC design, the tensile intrinsic axial strain in the filamentary region should stay well below zero (only compressive) and the contact stress sufficiently below 50 MPa. These requirements are feasible, in particular for a CICC design with steel conduit which would provide sufficient thermal compression, a sufficiently low void fraction and a cabling pattern that limits the peak bending strain during transverse load to about 0.3%.
High-Inductance-Density MEMS 3D-solenoid Transformers with Inserted Thin-Film Ferrite Magnetic Core For On-Chip Integrated DC-DC Power Conversions

This paper presents high-inductance-density MEMS 3D-solenoid magnetic core transformers that are wafer-level fabricated by a novel thick-metal micro-casting technique. With the embedded thin-film high-permeability ferrite core, an over 7 times boost in inductance (from 43.3 nH to 334.2 nH) and 25% increment in coupling coefficient (from 0.76 to 0.96) are achieved. For the batch-fabricated transformer in a tiny footprint of 6 mm2, an over 1.6 A saturated current and one of the best-reported power transfer efficiency of 89.5% at a lower frequency of 10 MHz are demonstrated. The proposed magnetic core transformers are ideal for high-efficiency integrated DC-DC power conversion applications.
Defect level distributions and atomic relaxations induced by charge trapping in amorphous silica

We compute the distribution of electronic levels of native defects in amorphous silica from total energy differences of charge-state density functional theory calculations over an ensemble of atomic structures. The predicted distributions reproduce results from trap spectroscopy by charge injection experiments, validating the calculations. Furthermore, our study characterizes the experimentally inaccessible contributions of individual defect types to the overall distribution. Computed electron and hole trapping levels provide insight into the positive charge buildup in bulk silica observed in negative-bias-temperature-instability, an important degradation mechanism of metal-oxide-semiconductor devices.
Fluctuations and turbulence in an electric field Bumpy Torus plasma

In this experiment, strong radial electric fields were imposed along the minor radius of a steady‐state bumpy torus plasma by biasing it with electrodes maintained at kilovolt potentials. Digitally implemented spectral analysis techniques were used to experimentally investigate the characteristics of the fluctuations of plasma number density and electrostatic potential below the ion plasma and ion cyclotron frequencies. The dispersion relation between ω and k for azimuthally propagating waves was determined experimentally, and, when linear, was consistent with the E/B drift velocity. Above 100 kHz, the power spectra of both density and potential fluctuations obeyed a power law of the form P(ω) α ω−p. The spectral index p of this plasma turbulence assumed values which varied with operating conditions. The fluctuations of density and potential ranged from highly coherent rotating spokes, to highly turbulent conditions with a Gaussian distribution in amplitude.
Spin-orbit coupling in the solar system

The existence of the exact commensurability between the periods of rotation and revolution of a satellite orbiting a planet is not a rare phenomenon in the Solar system. In fact, there are several examples of such resonances with the Earth-Moon system being the most familiar example of a 1:1 (synchronous) resonance. In this report, I will discuss the questions of stability of five resonant systems (Moon – Earth, Enceladus - Saturn, Dione Saturn, Rhea – Saturn, and Mercury – Sun (the only non – synchronous resonance among the evolved spin – orbit resonances in the Solar system). Several authors have investigated the stability of spin-orbit resonances, and, in this report, I will concentrate on the two most recent investigations.
A Solar-Driven Wearable Multiplexed Bio-Sensing System For Noninvasive Healthcare Monitoring In Sweat

In this study, we developed a novel solar-powered wearable miniaturized human sweat tracker that specifically monitors key metabolic analytes (pH, glucose, and cortisol levels) and body temperature. Its wearability and self-monitoring platform allow users to track their physical and mental status. Our fully integrated system in smartwatch construction offers an accessible avenue for quantitative analysis. Furthermore, the laser printing electrode method reduces the cost of fabrication, eliminates the complexity of multiple target biomarkers screening, and enables large-scale production. It can also contribute to revolutionizing self-powered wireless sensor networks for other biomedical devices.
A Critical Survey on Real-Time Traffic Sign Recognition by using CNN Machine Learning Algorithm

Real-Time Traffic Sign Recognition System (RTTSRS) is used for recognizing the traffic signboards (Take left, take right, speed limit 60 kmph… etc.), it plays a crucial role in the domains of driverless vehicles etc. By using Real-Time Traffic Sign Recognition, Traffic related problems can be reduced. It is categorized into two types- localization and recognition. Localization deals with identifying and locating traffic sign regions within the radius. Real-Time Traffic Sign Recognition is used to identify the traffic sign region within the space (rectangular) provided. This study describes an approach for a traffic sign recognition system, many machine learning algorithms like Support Vector Machine (SVM) and Convolutional Neural Networks (CNN) have been studied for recognizing traffic signs. This study has conducted a critical investigation on various machine learning algorithms which gives high accuracy to predict, recognize real-time traffic signs.
Non-uniform in time stabilization for linear systems and tracking control for non-holonomic systems in chained form

The paper contains certain results concerning non-uniform in time stabilization for linear time-varying systems by means of a linear time-varying feedback controller. These results enable us to present an explicit solution for the state feedback tracking control problem of non-holonomic systems in chained form under weaker hypotheses than those imposed in earlier existing works.
Time-Domain Control Algorithms of DSTATCOM in a 3-Phase, 3-Wire Distribution System

In this paper, A crystal clear explanation is seen regarding improvement in a power quality distribution system. When the electrical power system appears to be out of phase that is either unbalanced of power on the source side or load side irrespective of any case FACTS (Flexible AC Transmission system) devices are used FACTS is nothing more than a program that uses electronic controllers to boost the effectiveness of current power systems. Over the past few years, research on new developing technologies has also been ongoing. STATCOM is one of the important FACTS controller devices. Overall from a cost point of view, VSI (Voltage source inverter) is preferred. DSTATCOM (Supply static compensator) is placed at PCC (point of the mutual link) to solve the above problem which is to get into the phase of currents and voltages. A DSTATCOM has different theories to explain but here SRFT (Synchronous reference frame theory) and IRPT(Instantaneous reactive power theory) are explored. After processing, the results are simulated by using MATLAB/SIMULINK
Performance of Electric Spring Under Varying Non-Critical Load Power Factor in Isolated Microgrid

Smart loads have become one of the most trusted load-side power management devices used for voltage stabilization in isolated microgrid systems. This paper focuses on the performance study of a smart load used for voltage stabilization in an isolated system. To implement a smart load in a system first the system loads are divided into voltage-sensitive and voltage-insensitive categories. In this manuscript, a smart load combination is made from a bidirectional converter in series with the voltage-insensitive load. An in-phase voltage injection strategy has been suggested in this work for the control of the proposed smart load. The control strategy makes the electric spring capable of supplying both active as well as reactive power to the system. The performance of a smart load system greatly depends on the power factor of the non-critical load. The non-critical load power factor can affect the stability as well as the dynamic and steady-state performance of the system. This paper also investigates the sensitivity issues of the smart load with an in-phase voltage injection scheme for varying non-critical load power factors. The performance of the smart load at different power factors is also evaluated and the simulation results are shown in this work. A linearized model for the microgrid system is also developed in this work. The stability, transient and steady-state analysis of the proposed system is also included in this paper. The simulation and stability analysis of the system is carried out in MATLAB/Simulink environment.
CONSISTENCY FOR A SIMPLE MODEL OF RANDOM FORESTS

A heuristic analysis is presented in this paper based on a simplified version of RF denoted RF0. The results from RF0 support the empirical results from RF. RF0 regression is consistent using a value of mtry that does not depend on the number of cases N The rate of convergence to the Bayes rule depends only on the number of strong variables and not on how many noise variables are also present. This also implies consistency for the two class RF0 classification. The analysis also illuminates why RF is able to handle large numbers of input variables and what the role of mtry is.
RELATIVISTIC EQUATIONS FOR ADIABATIC, SPHERICALLY SYMMETRIC GRAVITATIONAL COLLAPSE

The Einstein equations for a spherically symmetrical distribution of matter are studied. The matter is described by the stress-energy tensor of an ideal fluid (heat flow and radiation are therefore excluded). In this case, the Einstein equations give a generalization of the Oppenheimer-Volkoff equations of hydrostatic equilibrium so as to include an acceleration term and a contribution to the effective mass of a shell of matter arising from its kinetic energy. A second equation also appears in this time-dependent case; it gives the rate of change of an appropriate "total energy" m(r, t) of each fluid sphere in terms of the work done on this sphere by the fluid surrounding it. These equations would be an appropriate starting point for a study of relativistic gravitational collapse in which an adiabatic equation of state more realistic than the p=0 form of Oppenheimer and Snyder could be used.
Steady-state fully noninductive operation with electron cyclotron current drive and current profile control in the tokamak à configuration variable (TCV)

Fully noninductive, steady-state electron cyclotron current drive (ECCD) has been demonstrated for the first time in experiments carried out in the tokamak a configuration variable (TCV) [O. Sauter et al., Phys. Rev. Lett. 84, 3322 (2000)]. By appropriately distributing six 0.45 MW ECCD sources over the discharge cross section, fully noninductive, stable, and stationary plasmas with Ip up to 210 kA were obtained for the full discharge duration of 1.9 s, corresponding to more than 900 energy confinement times and more than 10 current redistribution times at an average current drive efficiency η20CD=0.01[1020 A W−1 m−2]. These experiments have also demonstrated for the first time the steady recharging of the ohmic transformer using ECCD only. The effect of localized off-axis electron cyclotron heating (ECH) and EC current drive (ECCD) (co- and counter-) is investigated showing that locally driven currents amounting to only 1% of Ip significantly alter sawtooth periods and crash amplitudes. An improved quasi.
A Novel Comb Design for Enhanced Power and Bandwidth in Electrostatic Mems Energy Converters

Silicon-based kinetic energy converters employing variable capacitors hold promise as power sources for Internet of Things devices. However, they are plagued by low power output and a limited range for operation frequency. The objective of this work is to address these important challenges for a harvester based on interdigitated variable capacitors and gap-closing topography. The approach explored here employs non-uniform cross-section electrodes and a springless mass. The purpose is to enable frequency-up conversion following electrodes’ impact and the impact of the springless mass with the shuttle mass. Frequency up-conversion is demonstrated experimentally and supported by the theoretical model.
Graphical Models for Causation, and the Identification Problem

This article (which is mainly expository) sets up graphical models for causation, having a bit less than the usual complement of hypothetical counterfactuals. Assuming the invariance of error distributions may be essential for causal inference, but the errors themselves need not be invariant. Graphs can be interpreted using conditional distributions, so thatwe can better address connections between the mathematical framework and causality in the world. The identification problem is posed in terms of conditionals. As will be seen, causal relationships cannot be inferred from a data set by running regressions unless there is substantial prior knowledge about the mechanisms that generated the data. There are fewsuccessful applications of graphicalmodels, mainly because few causal pathways can be excluded on a priori grounds. The invariance conditions themselves remain to be assessed.
Customer Insights Analysis Using Deep Learning

The number of organizations moving their activities online or expanding their online presence to compete in the current market is growing significantly. Increasingly, organizations are turning to online marketing strategies incorporating a comprehensive consumer engagement approach. In addition to maintaining existing customers and attracting new ones, customer segmentation is a key to organizational success. However, the unstructured data is segmented using an unsupervised learning algorithm. Traditional clustering algorithms are not guaranteed to be efficient for customer segmentation and behavior analysis. Consequently, after comparing the algorithms, only the most suitable algorithm is suggested for research KMeans, or KMeans combined with other algorithms, are the basis of most algorithms, according to the literature review. However, in the general approach, KMeans algorithms cannot handle large and high-dimensional data sets; therefore, for this research, Customer segmentation will be improved using K-means and Deep Cluster Networks (DCN). Further, traditional models of machine learning are not effective in analyzing the behavior of customers. Therefore, during the present study, a Deep Cluster Networks (DCN)-based architecture has also been used to produce effective results. Nowadays, customer Insights Analysis Deep Learning plays a very vital role.
Global regular solutions for the nonhomogeneous Carrier equation

We study in a n + 1 -dimensional cylinder Q global solvability of the mixed problem for the nonhomogeneous Carrier equation u t t − M ( x , t , || u ( t ) || 2 ) Δ u + g ( x , t , u t ) = f ( x , t ) without restrictions on a size of initial data and f ( x , t ) . For any natural n, we prove existence, uniqueness and the exponential decay of the energy for global generalized solutions. When n=2 , we prove C ∞ ( Q ) -regularity of solutions.