Miracle-dz/UniFAR-FTUs huggingface dataset:
Zr Tracer Diffusion in AZrO 3 ( A = Ca , Sr , Ba )

Cation tracer diffusion in polycrystalline AZrO3 (A = Ca, Sr, Ba) perovskites was studied at 1300–1500 ◦C in air using the stable isotope 96Zr. Thin films of ZrO2 were deposited on polished ceramic pellets by drop casting of an aqueous precursor solution containing the tracer. The pellets were subjected to thermal annealing, and the isotope depth profiles were measured by secondary ion mass spectrometry. Two distinct regions with different slopes in the profiles enabled to assess separately the lattice and grain boundary diffusion coefficients using Fick’s second law and Whipple–Le Clair’s equation. The cation diffusion along grain boundaries was 4–5 orders of magnitude faster than the corresponding lattice diffusion. The magnitude of the diffusivity of Zr4+ was observed to increase with decreasing size of the A-cation in AZrO3, while the activation energy for the diffusion was comparable 435 ± 67, 505 ± 56, and 445 ± 45 and kJ·mol−1 for BaZrO3, SrZrO3, and CaZrO3, respectively. Several diffusion mechanisms for Zr4+ were considered, including paths via Zrand A-site vacancies. The Zr4+ diffusion coefficients reported here were compared to previous data reported on B-site diffusion in perovskites, and Zr4+ diffusion in fluorite-type compounds.
Deconvolution Filtering for Nonlinear Stochastic Systems with Randomly Occurring Sensor Delays via Probability-Dependent Method

This paper deals with a robust deconvolution filtering problem for discrete-time nonlinear stochastic systems with randomly occurring sensor delays. The delayed measurements are assumed to occur in a random way characterized by a random variable sequence following the Bernoulli distribution with time-varying probability. The purpose is to design an deconvolution filter such that, for all the admissible randomly occurring sensor delays, nonlinear disturbances, and external noises, the input signal distorted by the transmission channel could be recovered to a specified extent. By utilizing the constructed Lyapunov functional relying on the time-varying probability parameters, the desired sufficient criteria are derived. The proposed deconvolution filter parameters include not only the fixed gains obtained by solving a convex optimization problem but also the online measurable time-varying probability. When the time-varying sensor delays occur randomly with a time-varying probability sequence, the proposed gain-scheduled filtering algorithm is very effective. The obtained design algorithm is finally verified in the light of simulation examples.
Satellite orbit estimation using earth magnetic field measurements

This paper presents the design of an estimation algorithm for the determination of a low-Earth satellite orbit based only on the measurements of the Earth magnetic field. The algorithm is based on the extended Kalman filter (EKF) and the measure of the magnitude of the magnetic field, which provides an estimation method independent of the satellite attitude. The satellite orbit is described with a state vector formed by the classical Keplerian orbital elements. The simulation test resulted in an accurate estimation of the state vector components and yielded only a few kilometres error on the satellite position. The effect of the variation of the orbit inclination and eccentricity on the filter performances was also investigated.
Inverse system design based on the volterra modeling of a parametric loudspeaker system

Parametric loudspeaker systems have been widely used for projecting high directional audible sound beams. However, the nonlinear interaction among primary waves also generates harmonics, which distort the desired signal and degrade the sound quality. In order to investigate this inherent nonlinear mechanism, a baseband distortion model is developed from nonlinear system identification using an adaptive Volterra filter. For the conventional double-sideband amplitude modulation (DSBAM) technique, it is found that the harmonic distortion is largely attributed to the second harmonic. The adaptation results derived from both simulation and measurement indicate that the first few coefficients of the second-order kernel are dominant. Based on the Volterra model, a pth-order inverse system is designed to compensate the harmonic distortions present in the demodulated signal. Simulation and measurement results demonstrate that the harmonic distortion can be greatly reduced to an acceptable level when the inverse sy.
Application of macroergonomics principles in the implementation of computer integrated manufacturing systems

Muchas implementaciones de Sistemas de Manufactura Integrada por Computador (CIMS, por sus siglas en Ingles) han estado plagadas de fallas e imprevistos. En algunos casos se han identificado como causa raiz de estas fallas el desconocimiento y la no consideracion de las dimensiones humanas y organizacionales de un cambio tecnico de gran escala. En este articulo se utilice el Analisis y Diseno Macroergonomico (MEAD, su sigla en Ingles) como un marco de referencia para reconocer de manera implicita estos factores y considerarlos desde las fases de diseno de un nuevo sistema de trabajo.
A Model to Assess Technological Innovations at Institutions of Higher Learning in Kenya

Objective: The aim was to develop an innovation assessment model to analyse the impact of broadband in spurring innovations in Kenya by studying the role of broadband diffusion, the impact of broadband collaborations, the influence of electronic research and the role of online broadband products usability. Background: Many countries in Africa invest in broadband infrastructure because they have realized that broadband encourages innovation leading to economic development and prosperity. Understanding the relationship between universities, business enterprises and government enabled by broadband is critical in assessing a country's innovative capacity. Methodology: This study applied descriptive survey research design. It used a logistic regression model as an inferential analysis tool in the quantitative aspects of the research. The target population for this study was institutions of higher learning (IHL) operating in Kenya by 31st December, 2015 which included both private and public accredited universities in Kenya. Results: The response rate from the sampled population was at 75% Reliability measures were above the recommended level of 0.70 as an indicator for adequate internal consistency. The overall model evaluation, goodness-of-fit statistics, statistical tests of individual predictors and validations of predicted probabilities. Showed that the data fitted the model and the model performed well. Conclusion: Institutions of higher learning in Kenya have a positive but low capacity in technological innovation implementation. Broadband diffusion is inhibited by poor infrastructural development attributed to high costs of connections and bandwidth acquisition and a high demand for broadband among the students and staff.
Fusion of texture and contour based methods for object recognition

We propose a new approach to object detection based on data fusion of texture and edge information. A self organizing Kohonen map is used as the coupling element of the different representations. Therefore, an extension of the proposed architecture incorporating other features, even features not derived from vision modules, is straight forward. It simplifies to a redefinition of the local feature vectors and a retraining of the network structure. The resulting hypotheses of object locations generated by the detection process are finally inspected by a neural network classifier based on co-occurence matrices.
Fingerprint Recognition Using Local Features and Hu Moments

Person identification systems based on fingerprint patterns called Automatic Fingerprint Identification Systems, AFIS,are some of the most widely used biometric methods since they provide a high degree of success. The accuracy ofAFIS is mainly due to some unique characteristics called minutiae, which are points where a curve track finishes,intersects with another curve track, or branches off. During past decades several efficient minutia-based fingerprintrecognition algorithms have been proposed which achieve false recognition rates close to 1%, however, theirrecognition rate may be still improved. To this end, this paper presents a fingerprint recognition method using acombination of the Fast Fourier Transform (FFT) with Gabor filters for image enhancement. Next, fingerprintrecognition is carried out using a novel recognition stage based on Local Features and Hu invariant moments forverification.
Experimental Tests of Realistic Local Theories via Bell's Theorem

We have measured the linear polarization correlation of the photons emitted in a radiative atomic cascade of calcium. A high-efficiency source provided an improved statistical accuracy and an ability to perform new tests. Our results, in excellent agreement with the quantum mechanical predictions, strongly violate the generalized Bell's inequalities, and rule out the whole class of realistic local theories. No significant change in results was observed with source-polarizer separations of up to 6.5 m.
Giant Resonances based on Unitarily Transformed Two-Nucleon plus Phenomenological Three-Nucleon Interactions

We investigate giant resonances of spherical nuclei on the basis of the Argonne V18 potential after unitary transformation within the similarity renormalization group or the unitary correlation operator method supplemented by a phenomenological three-body contact interaction. Such Hamiltonians can provide a good description of ground-state energies and radii within Hartree–Fock plus low-order many-body perturbation theory. The standard random phase approximation is applied here to calculate the isoscalar monopole, isovector dipole, and isoscalar quadrupole excitation modes of the , , and nuclei. Thanks to the inclusion of the three-nucleon interaction and despite the minimal optimization effort, a reasonable agreement with experimental centroid energies of all three modes has been achieved. The role and scope of the Hartree–Fock reference state in RPA methods are discussed.
Dear G.T. Wilson and Editorial Team, Please, receive our manuscript titled: "Moderators of the Effect of Psychological Interventions on Depression and Anxiety in Cardiac Surgery Patients: A Systematic Review

Cardiac surgery patients may be provided with psychological interventions to counteract depression and anxiety associated with surgical procedures. This systematic review and metaanalysis investigated whether intervention efficacy was impacted by type of cardiac procedure/ cardiac event; control condition content; intervention duration; intervention timing; and facilitator type. MEDLINE, EMBASE, and PsycINFO were searched for randomized controlled trials comparing anxiety and depression outcomes, pre and post psychological and cardiac interventions. Twenty studies met the inclusion criteria for the review (N=2229) and 15 of those were meta-analyzed (N=1851). Depression and anxiety outcomes were reduced more when interventions were delivered after the cardiac procedure, when the controls offered some psychological content; and in patients receiving the ‘longer’ interventions. Anxiety (but not depression) was reduced most when interventions were delivered by a trained psychologist, and in implantable cardioverter defibrillator patients. Depression (but not anxiety) was reduced most in coronary artery bypass graft patients. In addition to estimating efficacy, future work in this domain needs to take into account the moderating effects of intervention, sample, and study characteristics.
On the Incompatibility of Special Relativity and Quantum Mechanics

Some of the strategies which have been put forward in order to deal with the inconsistency between quantum mechanics and special relativity are examined. The EPR correlations are discussed as a simple example of quantum mechanical macroscopic effects with spacelike separation from their causes. It is shown that they can be used to convey information, whose reliability can be estimated by means of Bayes' theorem. Some of the current reasons advanced to deny that quantum mechanics contradicts special relativity are refuted, and an historical perspective is provided on the issue.
Latent Semantic Analysis Based Automatic Cross-Language Plagiarism Detector for Paragraph Written in Two Syntactically Distinct Languages

The number of scientific publication in Bahasa Indonesia is now in steady rise. As a speaker of under-resourced language, Indonesian author often consult documentation in other language, especially English. The necessity for an automated cross-language plagiarism checker has now become prominent. There are several methods available for an automated cross-language plagiarism detection but, most of them only works well on syntactically similar language. Unfortunately both Bahasa Indonesia and English come from a very different language family, therefore they have completely different syntax. This paper investigates the possibility of expanding the use of Latent Semantic Analysis (LSA) for an automated cross-language plagiarism checker between two syntactically distinct languages. LSA's bag of word concept is exploited, removing the necessity to use grammatically correct automatic translator. Several modifications to the LSA algorithm are also proposed to improve its performance. The proposed a proof of concept algorithm is capable to find similarities between a paragraph and its exact translation written in different languages. The exact translation of a paragraph can be identified with 81.82% up to 90.91% accuracy in all test cases.
The role of retrospectively perceived parenting style and adult attachment behaviour in music performance anxiety

This study aimed to examine the extent to which music performance anxiety relates to retrospectively perceived parenting style and adult attachment behaviour. Participants were 82 music students (Mage = 23.5 years, SD = 3.4) with the majority being vocal (30.5%), string (24.4%) or piano (19.5%) students each with about 20 performance opportunities per year. Music performance anxiety was assessed using the German version of the Kenny Music Performance Anxiety Inventory. Parenting style was measured by retrospective self-report using the German version of the Measure of Parenting Style, adult attachment behaviour by the Relationship Questionnaire based on Bartholomew’s four-category model. Furthermore, general anxiety-related symptoms were assessed by the Severity Measure for Generalized Anxiety Disorder. Canonical and partial canonical correlation analyses were used to measure the dependence between multi-dimensional constructs: Both parenting style and adult attachment behaviour were related to music performance anxiety as measured by a performance-related sub-scale of the Kenny Music Performance Anxiety Inventory (r = 0.45, p = 0.01 and r = 0.37, p = 0.02, respectively). The partial canonical correlation analysis, however, showed no significant relations between music performance anxiety and parenting styles or adult attachment behaviour. A strong link of music performance anxiety and generalised anxiety was found in all analyses. This study expands on more theoretical research in this area and provides first empirical insight into this complex multi-dimensional relationship.
Looking forward: Applying an ecological model web to assess impacts of climate change

Abstract Climate change is a major threat to the world's protected areas, yet the difficulty of making good predictions of the impacts of change constrains management, planning, and policy making. An important factor limiting development of these predictions is the inability of existing computer models, which simulate ecosystem and related processes, to easily exchange information. The ecological Model Web, now in the early stages of development, addresses this limitation. The Model Web will be an open-ended network of interoperable computer models and databases that use web services to communicate with one another and with end-users. Analogous to the World Wide Web, it will grow organically and opportunistically within a framework of broad goals and high-level standards. Making it easier for models to communicate will increase their collective power and the breadth of questions they can address, while providing web access to their results will facilitate greater extraction of societal benefits by managers, policy makers, and the public.
One Click Focusing: An SQL-based Fast Loop Road Extraction Method for Mobile Map Services

This paper proposes a method for the fast loop roads extraction for mobile Web map services and applications. Since the existing loop road extraction method has drawbacks such as those related to the processing speed and interactivity, it has been difficult to apply the method to real-time applications such as mobile Web map services directly. Therefore, this paper proposes a fast extraction method that involves acquiring information on all loop roads with high efficiency in advance and storing the information in a database and querying those with SQL statements. The proposed method is 51.0 times faster than the previous method, and for expanded loop road extraction, it is 16.4-25.3 times faster than the previous method. Further, when used to build a loop road database, the proposed method, which involves the use of a tabulation method, is 3.86 times faster than the conventional method. We have developed the Web API function in order to acquire loop roads easily from other Web services. For the application of the proposed method, we have developed the One Click Focusing function that can modify the size, position, and scale of the focus automatically in fisheye-view maps. Keywords-fisheye views, focus+glue+context,Web map service
An Approach for Self-Calibration by a Quartered Circle

The camera calibration is a key step for converting a projective reconstruction into a metric one, which is equivalent to recovering the unknown intrinsic parameters with each image. A circle is a common geometric primitive for the camera self-calibration. To avoid the limit of circle center to the camera self-calibration in a planar template, a method how to solve out the vanishing line is proposed. Then using the property of vanishing line, the camera intrinsic parameters are figured out and the camera self-calibration is achieved. The template contains a quartered circle in the study. Firstly, the camera is used to take photographs of the template from three or more direction. Secondly, using the ellipse and two mutually perpendicular diameters which are extracted from the image, according to the polarity principle and making use of the invariant property of cross-ratio of four lines which are intersected in one same point, the vanishing line can be solved out. In the end, the circular points can be figured out by the intersection between vanishing line and the circle. And using the property of the circular points, the self- calibration is realized.
Bayesian model comparison and analysis of the Galactic disc population of gamma-ray millisecond pulsars

Pulsed emission from almost one hundred millisecond pulsars (MSPs) has been detected in γ-rays by the Fermi Large-Area Telescope. The global properties of this population remain relatively unconstrained despite many attempts to model their spatial and luminosity distributions. We perform here a self-consistent Bayesian analysis of both the spatial distribution and luminosity function simultaneously. Distance uncertainties, arising from errors in the parallax measurement or Galactic electron-density model, are marginalized over. We provide a public python package (available from http://github.com/tedwards2412/MSPDist) for calculating distance uncertainties to pulsars derived using the dispersion measure by accounting for the uncertainties in Galactic electron-density model YMW16. Finally, we use multiple parametrizations for the MSP population and perform Bayesian model comparison, finding that a broken power-law luminosity function with Lorimer spatial profile are preferred over multiple other parametrizations used in the past. The best-fitting spatial distribution and number of γ-ray MSPs is consistent with results for the radio population of MSPs.
Method n2 according to fajfar

A relatively simple nonlinear method for the seismic performance evaluation of structures (the N2 method) is presented. The method combines the nonlinear static (pushover) analysis and the response spectrum approach. The method yields results of reasonable accuracy if the structure oscillates predominantly in the first mode. In the paper the method is formulated in the acceleration – displacement format. This versions combine the advantages of the visual representation of CSM developed by Freeman. By reversing the analysis process, the method can be used as a tool for the implementation of the direct displacement-based design approach.
Subcellular localization and developmental regulation of cytosolic, soluble pyrophosphatase isoforms in Arabidopsis thaliana

Pyrophosphate (PPI) is the by-product of several reversible key reactions of primary metabolism. Thus, generated PPi should be removed by hydrolysis via pyrophosphatases to prevent accumulation and to drive anabolism. In plastids, a plastidic, soluble pyrophosphatase splits PPi released by ADPG pyrophosphorylase. The cytosolic PPi pool is believed to be hydrolyzed by tonoplast- and/or Golgi-integral H+-translocating pyrophosphatases. The Arabidopsis thaliana (L.) Heynh. genome encodes 6 soluble pyrophosphatase isoforms (PPas), 1 of which was shown to be localized in plastids. The remaining 5 of those PPas (PPas 1-5) are more similar to each other with highly conserved protein sequences. They all lack known targeting sequences and are thought to reside in the cytosol. To address their role and redundancy in plants, we performed (i) subcellular targeting of C-terminal PPa:EGFP fusions, (ii) analysis of transgenic promoter Beta-glucuronidase (GUS) lines to depict differential expression during plant development, and (iii) transcript quantification via real-time PCR to corroborate promoter-GUS data. The results revealed pronounced tissue specificity and developmental regulation for each PPa isoform, but also partial redundancy with coexpression of several PPa isoforms in all plant tissues.