Miracle-dz/UniFAR-FTUs huggingface dataset:
Wavelets Some Applications in Physics

Martin Greiner, Peter Lipa, and Peter Carruthers started their collaboration at the University of Arizona in 1993. Their main research interests are to find organization principles in highenergy multiparticle dynamics in particular, and in complex reactions in general. Martin Greiner, m.greiner@physik.tu-dresden.de, Institut für Theoretische Physik, Technische Universität, D-01062 Dresden, Germany; Peter Lipa, lipa@hephy.oeaw. ac.at, Institut für Hochenergiephysik der Österreichischen Akademie der Wissenschaften, Nikolsdorfergasse 18, A-1050 Wien, Austria; Peter Carruthers, carruthers@ccit.arizona. edu, Department of Physics, University of Arizona, Tucson, AZ 85721, USA INTRODUCTION Rumors have spread to nearly everyone interested in natural sciences that wavelets represent a new and mystical tool developed in signal analysis. Indeed it is true that by now wavelet transformations have revolutionized this field as they are able to analyze, compress, and reconstruct (audio and video) signals much more efficiently than Fast Fourier techniques. The success of wavelet algorithms represents an important step toward the highly propagandized dream of an information highway. Cohorts of mathematicians have caught up with signal engineers and have helped to elaborate some very powerful techniques based on wavelets not only for signal analysis but also for the numerical solution of (nonlinear) partial differential equations and many further applications. Unfortunately the language used to describe all this progress is quite involved and repelling for physicists, chemists, biologists, and other researchers in applied sciences and technology. As a consequence, this community has hardly discovered the power of wavelets. For this reason, and, as physicists, we present a clear and simple introductory tutorial about the basic ideas tied to the wavelet transformation and the related concept of a multiresolution analysis. Furthermore we will point out some applications in (statistical) physics.
Polarized gluon distribution in the proton from holographic light-front QCD

We obtain the gluon parton distribution functions (PDFs) in the proton within the extended light-front holographic QCD framework, where the proton couples with the spin-two Pomeron in Anti-de Sitter space, together with constraints imposed by the Veneziano model. The gluon helicity asymmetry, after satisfying the perturbative QCD constraints at small and large longitudinal momentum regions, agrees with existing experimental measurements. The polarized gluon distribution is consistent with global analyses. We predict the gluon helicity contribution to the proton spin, $\Delta G=0.221^{+0.056}_{-0.044}$, close to the recent analysis with updated data sets and PHENIX measurement and the lattice QCD simulations. We subsequently present the unpolarized and polarized gluon generalized parton distributions in the proton.
V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel

Information theory research has shown that the rich-scattering wireless channel is capable of enormous theoretical capacities if the multipath is properly exploited. In this paper, we describe a wireless communication architecture known as vertical BLAST (Bell Laboratories Layered Space-Time) or V-BLAST, which has been implemented in real-time in the laboratory. Using our laboratory prototype, we have demonstrated spectral efficiencies of 20-40 bps/Hz in an indoor propagation environment at realistic SNRs and error rates. To the best of our knowledge, wireless spectral efficiencies of this magnitude are unprecedented and are furthermore unattainable using traditional techniques.
Having Trouble with Your Strategy ?

can help chart this difficult terrain. I THAT YOU ARE A GENERAL taking your troops into foreign territory. Obviously, you would need detailed maps showing the important towns and villages, the surrounding landscape, key structures like bridges and tunnels, and the roads and highways that traverse the region. Without such information, you couldn't communicate your campaign strategy to your field officers and the rest of your troops.
Optimal Design of an Interior Permanent Magnet Synchronous Motor by Using a New Surrogate-Assisted Multi-Objective Optimization

To optimize an interior permanent magnet synchronous motor (IPMSM) design for a fuel cell electric vehicle, a new surrogate-assisted multi-objective optimization (MOO) algorithm is proposed in this paper. The proposed algorithm is a multi-objective algorithm (MOO) that can account for three kinds of objectives such as the torque amplitude, torque ripple, and magnet usage simultaneously to improve the power transmission and to reduce the noise, vibration, and cost for various design variables. While the conventional MOO algorithms have a series that requires many function evaluations, especially considering many objectives and design variables, the proposed algorithm can create an accurate and well-distributed Pareto front set with few function evaluations. In comparison with the conventional MOO algorithms, the outstanding performance of the proposed algorithm is verified. Finally, the proposed algorithm is applied to an optimal design process of an IPMSM.
Scalable Single Source Shortest Path Algorithms for Massively Parallel Systems

We consider the single-source shortest path (SSSP) problem: given an undirected graph with integer edge weights and a source vertex <inline-formula><tex-math notation="LaTeX">$v$</tex-math><alternatives> <inline-graphic xlink:href="chakaravarthy-ieq1-2634535.gif"/></alternatives></inline-formula>, find the shortest paths from <inline-formula><tex-math notation="LaTeX">$v$</tex-math><alternatives> <inline-graphic xlink:href="chakaravarthy-ieq2-2634535.gif"/></alternatives></inline-formula> to all other vertices. In this paper, we introduce a novel parallel algorithm, derived from the Bellman-Ford and Delta-stepping algorithms. We employ various pruning techniques, such as edge classification and direction-optimization, to dramatically reduce inter-node communication traffic, and we propose load balancing strategies to handle higher-degree vertices. These techniques are particularly effective on power-law graphs, as demonstrated by our extensive performance analysis. In the largest tested configuration, an R-MAT graph with <inline-formula><tex-math notation="LaTeX">$2^{38}$</tex-math> <alternatives><inline-graphic xlink:href="chakaravarthy-ieq3-2634535.gif"/></alternatives></inline-formula> vertices and <inline-formula><tex-math notation="LaTeX">$2^{42}$</tex-math><alternatives> <inline-graphic xlink:href="chakaravarthy-ieq4-2634535.gif"/></alternatives></inline-formula> edges on 32,768 Blue Gene/Q nodes, we have achieved a processing rate of three Trillion Edges Per Second (TTEPS), a four orders of magnitude improvement over the best published results.
Closed-Loop Control Methods for Interleaved DCM/CCM Boundary Boost PFC Converters

In this paper, a systematic overview of PLL-based closed-loop control methods for interleaved DCM/CCM boundary boost PFC converters is presented. It is shown that the PLL-based closed-loop methods always provide stable operation, unlike the open-loop control methods, where the only method which results in stable operation is the slave synchronization to the turn-on instant of the master with current-mode control. It is also shown that the dynamic response of the PLL-based closed-loop methods with master-slave approach and democratic approach is almost identical. Experimental results obtained on a 300-W, universal input, 400-V output, interleaved DCM/CCM boundary boost PFC prototype circuit with a dedicated controller IC utilizing a democratic, PLL-based closed-loop method is also provided.
Feed-Forward Transient Current Control for Low-Voltage Ride-Through Enhancement of DFIG Wind Turbines

High penetration of wind power requires reliable wind energy generation. A successful low-voltage ride-through (LVRT) scheme is a key requirement to achieve reliable and uninterrupted electrical power generation for wind turbines equipped with doubly fed induction generators (DFIGs). This paper proposes a feed-forward transient current control (FFTCC) scheme for the rotor side converter (RSC) of a DFIG to enhance its LVRT capability. This new control scheme introduces additional feed-forward transient compensations to a conventional current regulator. When three phase faults occur, these compensation terms correctly align the RSC ac-side output voltage with the transient-induced voltage, resulting in minimum transient rotor current and minimum occurrence of crowbar interruptions. With little additional computational effort, the proposed control scheme helps relieve the transient current stress on the RSC and helps maintain an uninterrupted active and reactive power supply from the wind turbines to the power grid. Simulation results are shown to demonstrate the effectiveness of the proposed FFTCC scheme in suppressing transient rotor currents.
Higher‐Order Improvements of a Computationally Attractive k‐Step Bootstrap for Extremum Estimators

This paper establishes the higher-order equivalence of the k-step bootstrap, introduced recently by Davidson and MacKinnon (1999), and the standard bootstrap. The k-step bootstrap is a very attractive alternative computationally to the standard bootstrap for statistics based on nonlinear extremum estimators, such as generalized method of moment and maximum likelihood estimators. The paper also extends results of Hall and Horowitz (1996) to provide new results regarding the higher-order improvements of the standard bootstrap and the k-step bootstrap for extremum estimators (compared to procedures based on first-order asymptotics). The results of the paper apply to Newton-Raphson (NR), default NR, line-search NR, and Gauss-Newton k-step bootstrap procedures. The results apply to the nonparametric iid bootstrap and nonoverlapping and overlapping block bootstraps. The results cover symmetric and equal-tailed two-sided t tests and confidence intervals, one-sided t tests and confidence intervals, Wald tests and confidence regions, and J tests of over-identifying restrictions.
Learning Arbitrary State Transition Kernels for Prediction

Predicting future states of noisy dynamical systems requires efficient inference algorithms that are robust to uncertainty. Markovian state-space models are especially effective at such tasks, allowing realtime inference and efficient training from data. Most prior work focuses on learning state-space models where state densities and dynamics have analytically tractable forms. We present a model that learns Markov processes with arbitrary state transition kernels and non-Gaussian, multi-modal state densities to predict the temporal evolution of nonlinear Markovian systems. The model uses radial basis function approximators to represent predictive state transition kernels. Conjugate gradient forms the basis of a generalized expectation-maximization algorithm for unsupervised learning of the function approximators. A particle-based state representation admits non-Gaussian state distributions. Particle smoothing estimates maximum a posteriori state sequences for model inference. After learning, the model can be used for prediction, filtering, or fixed-lag smoothing. We demonstrate the model’s robustness by predicting nonlinear, non-Gaussian state sequences from artificially generated noisy time-series data.
Influence of the deposition geometry on structural and ferroelectric properties of epitaxial PMN-PT films

Ferroelectric 0.68Pb(Mg<inf>1/3</inf>Nb<inf>2/3</inf>)<inf>3</inf>-0.32PbTiO<inf>3</inf> (PMN-PT) films were prepared on La<inf>0.7</inf>Sr<inf>0.3</inf>CoO<inf>3</inf> (LSCO) buffered SrTiO<inf>3</inf>(STO) substrates by pulsed laser deposition (PLD). The influence of different deposition geometries on the structural and ferroelectric properties of the grown PMN-PT films was studied. Whereas an epitaxial growth was observed in a wide temperature range, most of the films showed a secondary phase with a pyrochlore structure in addition to the desired perovskite phase. As a result, high leakage currents were measured in these films due to the secondary phase. A pure perovskite phase growth with promising ferroelectric properties were obtained in PMN-PT PT/LSCO/STO film architectures deposited by on-axis PLD below 600°C. The peak split of the PMN-PT (00ℓ) reflections indicate the coexistence of different structures in these layers.
Iron and folic acid supplements and reduced early neonatal deaths in Indonesia.

OBJECTIVE To examine the relationship between antenatal care, iron and folic acid supplementation and tetanus toxoid vaccination during pregnancy in Indonesia and the risk of early neonatal death (death in days 0-6 of life). METHODS We analysed pooled data on neonatal survival in singleton infants born in the 5 years before each of the Indonesian demographic and health surveys of 1994, 1997 and 2002-2003. Only the most recently born infant of each mother was included. Multivariate Cox proportional hazards models were used to identify factors linked to early neonatal death. FINDINGS Of the 40 576 infants included, 442 experienced early neonatal death. After adjustment, the risk of early neonatal death was significantly reduced for infants of mothers who received either any form of antenatal care (hazard ratio, HR: 0.48; 95% confidence interval, CI: 0.31-0.73), any quantity of iron and folic acid (HR: 0.53; 95% CI: 0.36-0.77) or >or= 2 tetanus toxoid injections (HR: 0.66; 95% CI: 0.48-0.92). When we analysed different combinations of these measures, iron and folic acid supplementation provided the main protective effect: early neonatal deaths were still significantly reduced among infants whose mothers received iron and folic acid supplements but no other form of antenatal care (HR: 0.10; 95% CI: 0.01-0.67), or the supplements but < 2 tetanus toxoid injections (HR: 0.46; 95% CI: 0.29-0.73). Subsequent analysis showed that 20% of early neonatal deaths in Indonesia could be attributed to a lack of iron and folic acid supplementation during pregnancy. CONCLUSION Iron and folic acid supplementation during pregnancy in Indonesia significantly reduced the risk of early neonatal death and could also do so in other low- and middle-income countries.
Chemical Composition and antioxidant activity of Date Palm pollen grains ( Phoenix dactylifera L . Palmae ) essential oil for Siwe Cultivar Cultivated in Egypt

Volatile constituents of Date palm pollen grains essential oil cultivated in Egypt, were hydrodistilled and identified using gas chromatography – mass spectrometry. Twenty one compounds detected accounting for 74.2% of the total oil, whereas dimethoxytoluene isomers (19.75%), p-cymen-4-ol (13.51%), caryophyllene (9.51%) and phenylethanol (8.75%) constitute the major aroma components. Antioxidant activity and radical scavenging were investigated using diphenpierylhydrazyl DPPH and β-Carotene-linoleic bleaching assays. The obtained results revealed an activity in pollen volatile oil with inhibition constant 50 IC50 0.89 mg/ml. This is in agreement with the total phenolic content, which measured for the oil and identified 57.9 mg GA/g according to Folin-Ciocalteu reagent.
Data assimilation for Mars: an overview of results from the Mars Global Surveyor period, proposals for future plans and requirements for open access to assimilation output

Abstract not available. From the introduction: 'The Thermal Emission Spectrometer (TES) aboard Mars Global Surveyor (MGS) has produced an extensive atmospheric data set, both during the initial aerobraking hiatus and later from the scientific mapping phase of the mission which lasted almost three complete Martian seasonal cycles. Thermal profiles for the atmosphere below about 40 km, and total dust and water ice opacities, have been retrieved from TES spectra (Conrath et al., 2000, Smith et al., 2000). '.
CRITICAL POINT IN FERROELECTRIC LANGMUIR-BLODGETT POLYMER FILMS

Critical point in ferroelectric Langmuir-Blodgett polymer films Stephen Ducharme University of Nebraska Lincoln, sducharme1@unl.edu A.V. Bune University of Nebraska Lincoln L.M. Blinov Institute of Crystallography of the Russian Academy of Sciences, Moscow, Russia V.M. Fridkin Institute of Crystallography of the Russian Academy of Sciences, Moscow, Russia S.P. Palto Institute of Crystallography of the Russian Academy of Sciences, Moscow, Russia See next page for additional authors
Dissipation and high disorder

Given a fieldfB(x)gx2Zd of independent standard Brownian motions, indexed by Z d , the generator of a suitable Markov process on Z d ; G; and suciently nice function : [0;1)! [0;1); we consider the influence of the parameter on the behavior of the system, dut(x) = (Gut)(x) dt + (ut(x))dBt(x) [t > 0; x2 Z d ]; u0(x) = c0 0(x); We show that for any
Stability of linear neutral time-delay systems: exact conditions via matrix pencil solutions

In this paper, we study the stability properties of linear neutral delay systems. We consider systems described by both neutral differential-difference and state-space equations, and we seek to determine the delay margin of such systems, that is, the largest range of delay values for which a neutral delay system may preserve its stability. In both cases, we show that the delay margin can be found by computing the eigenvalues and generalized eigenvalues of certain constant matrices, which can be executed efficiently and with high precision. The results extend previously known work on retarded systems, and demonstrate that similar stability tests exist for neutral systems; in particular, the tests require essentially the same amount of computation required for retarded systems.
Optimal Vegetation Maintenance Scheduling of Overhead Electric Power Distribution Systems

Vegetation maintenance involves trimming or removing trees and brush near the overhead conductors to reduce the number of tree related outages and maintain system reliability. This paper reports a maintenance scheduling algorithm that determines the optimal location and time for performing vegetation maintenance on overhead distribution feeders. A vegetation failure rate model is developed that quantifies the impact of the maintenance schedule on the reliability of a distribution system. Using this reliability model and a predictive reliability assessment algorithm, the maintenance scheduling algorithm is formulated as a combinatorial optimization problem that considers different objective functions and constraints. After experimentation with several heuristic search techniques, a hybrid genetic algorithm-hill climbing technique consistently found the highest quality maintenance schedules. The results from applying the maintenance scheduling algorithm to a real distribution system are also presented. It is shown that the new maintenance scheduling algorithm can find lower cost and more reliable schedules as compared to standard fixed interval schedules.
Merging Color Shift Keying and Complementary Pulse Position Modulation for Visible Light Illumination and Communication

The rising need of indoor broadband services without increasing the electromagnetic pollution has led the scientific community to look for smart spectrum usage. From this, it stems the need of emerging paradigm of visible light communications. In the context of the IEEE 802.15. 7 Task Group activities, a new modulation format named color shift keying (CSK), based on sending signals spaced in the domain of the wavelength and able to both support the communication and the illumination of indoor environments, has been proposed. In this paper, we propose a transmission/reception scheme based on CSK modulation that also makes use of a modulation format that descends from the pulse position modulation by taking care of illumination level to be granted. The aim of this contribution is twofold: to propose the receiver architecture for that kind of transmission and to evaluate its performance by performing also comparisons with other contributions in the literature. The proposed scheme is robust with respect to optical interference and presents high rate and low bit error rate at the cost of a limited increasing of complexity of the receiver with respect to other approaches.
Programming TLS in Isabelle / HOL

Isabelle/HOL is not just a theorem prover, it has become a functional programming language. Algebraic datatypes and (pure) recursive functions are defined with various packages and compiled to executable code with the code generator. In this work, we explore whether and how this programming language is suitable for developing applications, which are stateful, interact with the environment, and use external libraries. To that end, we have implemented a prototype of the TLS network protocol as a case study. We present a model of interaction in HOL and its compilation, and discuss on the challenges in application development that the theorem prover/HOL Isabelle poses.
Sensitivity Optimization of Epitaxial Graphene-Based Gas Sensors

Epitaxial 4H-SiC graphene films for use in ambient gas sensing are fabricated and tested. The sensitivity response to nitrogen dioxide is optimized by varying both operation temperatures and humidity. A relative resistance change response of <formula formulatype="inline"><tex Notation="TeX">${-}{45\%}$</tex> </formula> is obtained upon application of elevated temperatures and a gas mixture containing <formula formulatype="inline"><tex Notation="TeX">${\rm NO}_{2}$</tex></formula> at a concentration of 10 parts per billion (10 ppb). The sensitivity response increased linearly with <formula formulatype="inline"><tex Notation="TeX">${\rm NO}_{2}$</tex></formula> concentration, reaching <formula formulatype="inline"><tex Notation="TeX">${-}{60\%}$</tex></formula> at a concentration of 250 ppb, followed by saturation at 1 part per million (ppm) level.
A Fast Analytical Approach to Multi-cycle Soft Error Rate Estimation of Sequential Circuits

In this paper, we propose a very fast analytical approach to measure the overall circuit Soft Error Rate (SER) and to identify the most vulnerable gates and flip-flops. In the proposed approach, we first compute the error propagation probability from an error site to primary outputs as well as system bistables. Then, we perform a multi-cycle error propagation analysis in the sequential circuit. The results show that the proposed approach is four to five orders of magnitude faster than the Monte Carlo (MC) simulation-based fault injection approach with 92% accuracy. This makes the proposed approach applicable to industrial-scale circuits.
Parasitic capacitance cancellation in filter inductors

This paper introduces a technique for improving the high-frequency performance of filter inductors and common-mode chokes by cancelling out the effects of parasitic capacitance. This technique uses additional passive components to inject a compensation current that cancels the parasitic current, thereby improving high-frequency filtering performance. Two implementation approaches for this technique are introduced. The first implementation achieves cancellation using an additional small winding on the filter inductor and a small capacitor. This approach is effective where very high coupling of the windings can be achieved or where only moderate performance improvements are required. The second implementation utilizes a small RF transformer in parallel with the filter inductor to inject cancellation currents from the compensation capacitor. This technique requires an additional component (the transformer), but can provide a high degree of cancellation. Experimental results confirm the theory in both implementations.