Miracle-dz/UniFAR-FTUs huggingface dataset:
A MESH MORPHING BASED FSI METHOD USED IN AERONAUTICAL OPTIMIZATION APPLICATIONS

Abstract. In this paper a fast and efficient mesh morphing based technique to perform FSI analyses for aeroelastic design and optimization applications is presented. The procedure is based on the finite volume CFD solver (OpenFOAM® and SU2) coupled with the RBF MorphTM tool capable of deforming the surface and volume mesh of the computational domain according to the mode superposition method. Structural vibration modes of the geometry of interest are calculated in a pre-processing stage by means of a FEM solver and later imported into the RBF MorphTM tool to create a set of individual basic deformations. Aerodynamic loads calculated with a CFD solver are then projected onto the accounted structural modes to get modal loads and modal coordinates which are applied to the computational model in order to obtain the deformed configuration. An FSI cycle incorporating a CFD simulation and morphing of its mesh can be iteratively repeated upon convergence to the final deformed shape. Since the modal parameterization and the mesh calculation have to be prepared only once per FSI analysis, its computation time is drastically reduced compared to a standard two-way coupling method in which a structural analysis has to be done at each cycle. Present procedure was applied to two geometries, HIRENASD fuselage-wing geometry for the purpose of testing the procedure and a Pipistrel’s electric aircraft propeller for the purpose of optimization of its shape. By utilizing a DoE and a response surface method an increase of four percent of propeller efficiency was obtained by converging to a most favourable propeller pitch and twist configuration incorporating also FSI deformation. The abovementioned procedure was developed in the framework of the EU-funded RBF4AERO project (Grant Agreement No: 605396) and is available through the RBF4AERO platform.
The consequential Nationalist–Globalist policy divide in contemporary Britain: some initial analyses

ABSTRACT The verdict delivered by voters in the 2015 and 2017 British General Elections and the European Union Referendum surprised pollsters, pundits, the media, and even the victors. Political choices representative of Globalist outlooks saw defeat at the polls. Liberal Democratic support was below 10% and voting to remain in the EU underperformed predictions. Empirical analyses demonstrate that there is a Nationalist–Globalist policy divide, partially rooted in demographics and authoritarian predispositions, which go beyond traditional valence factors in explaining the recent choices of the British electorate. Moreover, this outlook influences how satisfied citizens are with the way democracy works in Britain. Nationalist viewpoints, when juxtaposed against Globalist outlooks, are salient in a way they were not during the height of Thatcherism, encompass left–right economic concerns and may portend a new era in British political culture.
Analysis on Image Color Model

Color models play an important role in real world applications such as computer graphics, image processing, television broadcasting, etc. Each color model has its own significance and applicable in different application domains. One of the interesting areas of digital image processing is to improve the image information for better processing image information for machine representation. Use of the color spectrum in image processing helps in objects recognition and extraction from the scene. In this paper, various (image) color models are studied to analyse their constituent components, application areas along with their merits and demerits.
EXPLOITING FEATURE MATCHING IN 3D RECONSTRUCTION FROM MULTIPLE IMAGES USING GVC

The improved GVC Algorithm (Yadav, K. et al., 2012) proposed aims at high quality of 2-D to 3-D reconstruction by incorporating additional check of edge detection and usage of Histogram- based consistency as a photo consistency measure. In this paper, we focus on features of a scene from (Yadav K. et al., 2012) methodology. The reconstruction of a complex scene from multiple images is a fundamental problem in the field of computer vision. Volumetric methods of scene reconstruction are considered, and GVC is used as the base algorithm. Whenever any 2-D image is used to reconstruct a volume based object (voxels), the features in the images make color consistency check to fail i.e. carving of some required voxels. This inability to detect the color variance along the edges is faced by majority of the models proposed prior. Our approach comprises of feature matching and volumetric method GVC to obtain a good quality reconstruction.
Differentiation between Snake and Bee Venom using Fluorescence Spectroscopy and Computational Approach

Phospholipase A2 (PLA2) represents a major venom component of snakes and bees and exhibits a broad range of biological effects including myotoxicity, neurotoxicity, hemolysis, cardiotoxicity, anticoagulant and antiplatelet activities. Melittin, is the main component and the major pain producing substance of honeybee venom. The aim of the present study was to differentiate between snake and bee venoms using Aqueous Olive Leaf Extract (AOLE) employing fluorescence techniques. Tryptophan, which is contained in both snake and bee venoms is fluorescent at UV wavelength and hence widely used as a tool to monitor conformational changes in proteins and to draw inferences regarding local structure and dynamics. Fluorescence spectroscopy and molecular modeling have been used to analyze enzyme activity in the absence and presence of AOLE and to verify potential binding of AOLE components to the enzyme. Changes in the fluorescence intensities with blue and red shifts were obtained with bee and snake venoms, respectively. Binding of AOLE constituents near the active site of the enzyme could be evidenced and possible modes of interaction are discussed. The fluorescence method used was rapid and sensitive and was able to differentiate between snake and bee venoms utilizing AOLE.
Nonlinear Soil-Site Effects in Probabilistic Seismic-Hazard Analysis

This study presents effective probabilistic procedures for evaluating ground-motion hazard at the free-field surface of a nonlinear soil deposit located at a specific site. Ground motion at the surface, or at any depth of interest within the soil formation (e.g., at the structure foundation level), is defined here in terms either of a suite of oscillator-frequency-dependent hazard curves for spectral acceleration, , or of one or more spectral acceleration uniform-hazard spectra, each associated s S ( f ) a with a given mean return period. It is presumed that similar information is available for the rock-outcrop input. The effects of uncertainty in soil properties are directly included. This methodology incorporates the amplification of the local soil deposit into the framework of probabilistic seismic hazard analysis (PSHA). The soil amplification is characterized by a frequency-dependent amplification function, AF( f ), where f is a generic oscillator frequency. AF( f ) is defined as the ratio of to the spectral s S ( f ) a acceleration at the bedrock level, . The estimates of the statistics of the ampli- s S ( f ) a fication function are obtained by a limited number of nonlinear dynamic analyses of the soil column with uncertain properties, as discussed in a companion article in this issue (Bazzurro and Cornell, 2004). The hazard at the soil surface (or at any desired depth) is computed by convolving the site-specific hazard curve at the bedrock level with the probability distribution of the amplification function. The approach presented here provides more precise surface ground-motion-hazard estimates than those found by means of standard attenuation laws for generic soil conditions. The use of generic ground-motion predictive equations may in fact lead to inaccurate results especially for soft-clay-soil sites, where considerable amplifi- cation is expected at long periods, and for saturated sandy sites, where high-intensity ground shaking may cause loss of shear strength owing to liquefaction or to cyclic mobility. Both such cases are considered in this article. In addition to the proposed procedure, two alternative, easier-to-implement but approximate techniques for obtaining hazard estimates at the soil surface are also briefly discussed. One is based on running a conventional PSHA with a rock- attenuation relationship modified to include the soil response, whereas the other consists of using a simple, analytical, closed-form solution that appropriately mod- ifies the hazard results at the rock level.
Why is there a Home Bias? A Case Study of Wine*

Abstract Domestic products have a disproportionately high market share on many goods markets. We examine the contribution of preferences to such “home bias”, using detailed data on wine sales in New Hampshire (weekly sales by brand by store for one year). In counterfactual simulations, where we use the same set of products as currently available, the U.S. market share falls from 58 percent to 38 percent if all country-of-origin effects are set equal. Home bias on this market is not explained by higher marginal costs for imports or by lesser store coverage of imported brands. The evidence rather points to higher foreign fixed costs of entry, coupled with a preference for U.S. wines, as the main sources for the high domestic market share. (JEL Classification: F12, F14, L13, L66)
A hybrid MCDM framework combined with DEMATEL-based ANP to evaluate enterprise technological innovation capabilities assessment

Article history: Received February 14, 2014 Accepted June 22, 2014 Available online June 26 2014 The efficient evaluation of technological innovation capabilities of enterprises is an important factor to enhance competitiveness. This paper aims to assess and to rank technological innovation evaluation criteria in order to provide a practical insight of systematic analysis by gathering the qualified experts’ opinions combined with three methods of multi-criteria decision making approach. A framework is proposed and uses a novel hybrid multiple criteria decision-making (MCDM) model to address the dependence relationships of criteria with the aid of the Decision-Making Trial and Evaluation Laboratory (DEMATEL), analytical network process (ANP) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje). The study reports that the interaction between criteria is essential and influences technological innovation capabilities; furthermore, this ranking development of technological innovation capabilities assessment is also one of key management tools for managements of other related hightech enterprises. Managers can then judge the need to improve and determine which criteria provide the most effective direction towards improvement. © 2014 Growing Science Ltd. All rights reserved.
Analysis of Burnout Level of Police Officers: Evidence from Malatya, Turkey

Burnout, a relatively new concept, is defined as feeling cold and distant about one’s job or profession due to extreme stress or low level of job satisfaction. Police profession is considered to be one of the most likely places to observe burnout for obvious reasons. There are numerous empirical studies conducted in highly stressful or dangerous professions. They find that burnout level increases with age, lower level of job satisfaction and length of service. This study investigates the current situation burnout among Turkish police officers using a sample surveyed in the province of Malatya. The study compares the stress and burnout levels of police employees with respect to their gender, position and length of service; and finds that burnout level is higher among ordinary police officers, male police employees and more experienced police employees.
Theoretical and Logical Prerequisites for Legal Translation

The main research aim is to look at how formal principles of legal theory and logic across national jurisdictions affect translation of legislative texts. In the analyzed institutional legal context, official legislative drafting guidelines comprise the canon of good/quality legislation, universal and binding for each legal system. One of my research tasks is to juxtapose Polish legislative drafting guidelines with the European Union drafting guidelines, as well as with selected common law bill drafting manuals to see how certain parameters affect the way we process legislative texts in translation, and how different legal cultures influence the way we interpret legal texts. The qualitative analysis encompasses the legislative recommendations as to the formulation of legal definitions, the use of conjunctions, negation, and the grammatical category of aspect, mood and tense. Attempts are also made to search for any cross-cultural patterns of the analyzed parameters of normative texts. Thus, the comparison of normative texts between legal cultures, first, allows to observe that the legislative guidelines from various legal cultures differ with respect to the compared domains, and secondly, that these differences affect translated texts and the process of legal translation as such, as a result of the global processes of “Europeanization”, standardization, unification and hybridization of the national legal/legislative discourses. The results show that law, as a system of norms, always actualizes in a particular language and a particular culture. The national perspective in legal communication, which also contains many universal elements, conditions the quality assessment of legislative translation. A good legal translation is supposed to reproduce normative patterns vested in national legal culture and system. Cite as: Jopek-Bosiacka , JLL 7 (2018), 47–69, DOI: 10.14762/jll.2018. 047
Numerical analysis of a three‐dimensional super‐elastic constitutive model

This note deals with the efficient approximation of a non‐linear constitutive relation arising in the study of the three‐dimensional mechanical behaviour of shape memory alloys at constant temperature. In particular, a variable time‐step discretization is investigated. For such an algorithm we prove sharp error estimates of optimal order and exactness for a class of experimentally relevant situations. We also report numerical results relative to proportional and non‐proportional loading tests which fully confirm the theoretical analysis. Copyright © 2004 John Wiley & Sons, Ltd.
Some advances in numerical analysis techniques for quantitative electromagnetic nondestructive evaluation

In this paper, some progresses in numerical techniques mainly made in our research group for the forward and inverse simulation of electromagnetic nondestructive evaluation (ENDE) signals are introduced. For the first part, efficient forward analysis schemes for the simulation of eddy current testing (ECT), remote field ECT (RFECT) and magnetic flux leakage testing (MFLT) signals are described respectively, in addition to some numerical examples. Fast and accurate ECT signal simulation is realised by introducing a database type strategy using precalculated unflawed potential field data. To meet the high accuracy requirement of the simulation of RFECT signals, a hybrid scheme using 2D and 3D geometry and a new formula for pickup signal are proposed. To improve the efficiency of MFLT signal simulation, a fast scheme is developed based on a FEM–BEM hybrid code of polarisation method. In addition, a phenomenological method is also described in the first part, which is developed for the qualitative estimation of eddy current distribution and pickup signals. The second part of this review paper is on the reconstruction of defect from the detected ENDE signals (mainly ECT signals). Reconstruction schemes based on conjugate gradient (CG) method of deterministic category and NN method, metaheuristic methods of stochastic category are developed and sizing of both artificial and natural cracks are performed by using measured signals. It is clarified through applications that a deterministic optimisation method is more efficient for treating simple cracks, while a stochastic way is prefer for defects of complicated geometry such as a stress corrosion crack and multiple cracks. In the crack modelling and parameterisation, an element of discontinuous material property is introduced to treat crack of arbitrary shape based on a given regular mesh. Several numerical models are proposed for natural cracks, which makes the reconstruction of some natural cracks become possible.
Ovicidal effect of some insecticides on Bruchus pisorum L. (Coleoptera: Chrysomelidae) eggs.

It was studied the effect of insecticides Neonicotinoids: Mospilan 20 SP–300 g ha – 1 , Calypso 480 SC–300 ml ha –1 , Proteus 110 OD–700 ml ha –1 ; Pyrethroids: Duet 530 EC–500 ml ha –1 , Nurelle D–40 ml ha –1 and Fury 10 EC–100 ml ha –1 on Bruchus pisorum eggs under field conditions during 2011 and 2012. The insecticides were applied at the time of the first egg occurrence on lower pods. It was found that the females of B. pisorum laid more than 60% of the eggs in the form of two eggs clusters. The treatment with Mospilan, Fury, Proteus and Calypso significantly reduced the rate of pea weevil eggs survival compared to control. Mospilan 20 SP (300 g ha –1 dose) had the lowest level of B. pisorum eggs survival (37.7 %) and the highest ovicidal efficacy (51.63 %). From the comparison of the mean pea weevil eggs survival and efficacy, expressed separately for the group of pyrethroid and neonicotinoid insecticides, the neonicotinoid group emerged as significantly more effective. Keyword: Bruchus pisorum, egg, neonicotinoids, pyrethroids, ovicidal effect
Modeling scattering polarization in molecular solar lines in spherical geometry

Context. The atmosphere of the Sun is permeated by a vast amount of magnetic flux that remains invisible in magnetograms based on the Zeeman effect. A model-independent way of measuring weak hidden magnetic fields makes use of the differential Hanle effect on the scattering polarization of molecular lines with different sensitivities to magnetic fields. Aims. The observed line scattering polarization steeply increases at the solar limb. Here we are interested in interpreting observations performed at the solar limb, where plane-parallel semi-infinite geometry is not valid. The main reason is that the sphericity of the atmosphere means that the line-of-sight optical path intersects only a finite part of the solar atmosphere. In this paper we revisit the modeling of scattering polarization in two molecular lines of C2 and MgH in the spectral range from 515.60 nm to 516.20 nm, where observations performed both inside and above the solar limb are available. Methods. The solar atmosphere is described by a one-dimensional, spherically symmetric medium following either the FALC or the FALX quiet Sun model. Both the line and background continuum scattering polarizations are computed by means of the “along-theray” approach. We assume a two-level atom formalism for the line source function, and we compute the molecule number densities and line opacities assuming LTE. We estimate the elastic and inelastic collision rates by fitting the line intensity and linear polarization in several couples of lines of the Second Solar Spectrum Atlas. Results. The limb variations of scattering polarization, both in the lines and in the continuum, are strongly modified when the sphericity of the solar atmosphere is accounted for. We show that the line polarization goes through a maximum at 0.4 �� above the limb, for both MgH and C2 lines. The contribution of the line rapidly goes to zero at a larger limb distance, but continuum polarization keeps increasing. The maximum polarization rates have an amplitude of 2% to 2.5% when the FALC model is used, which agrees with previous observations, whereas the FALX model leads to much higher rates. We then investigate the Hanle effect of microturbulent magnetic fields on the C2 line linear polarization. We show that polarization observed close to the limb would provide valuable diagnostics of weak magnetic fields in the region of the temperature minimum.
Progress on soft gluon exponentiation and long-distance singularities

I review the recent progress in studying long-distance singularities in gauge-theory scattering amplitudes in terms of Wilson lines. The non-Abelian exponentiation theorem, which has been recently generalised to the case of multi-leg amplitudes, states that diagrams exponentiate such that the colour factors in the exponent are fully connected. After a brief review of the diagrammatic approach to soft gluon exponentiation, I sketch the method we used to prove the theorem and illustrate how connected colour factors emerge in the exponent in webs that are formed by sets of multiple-gluon-exchange diagrams. In the second part of the talk I report on recent progress in evaluating the corresponding integrals, where a major simplification is achieved upon formulating the calculation in terms of subtracted webs. I argue that the contributions of all multiplegluon-exchange diagrams to the soft anomalous dimension take the form of products of specific polylogarithmic functions, each depending on a single cusp angle.
Miniature Electromagnetic Band-Gap Structure Using Spiral Ground Plane

An important application of electromagnetic band-gap (EBG) structures is reducing the mutual coupling and eliminating the scan blindness for array antennas. However, some array antennas have small element spacing, and traditional mushroom-like EBG materials are too large. Under this condition, miniature EBG structures are desired for these array antennas. In this paper, a novel method using spiral ground plane is proposed to reduce EBG structure sizes. A low frequency band-gap can be obtained by adjusting the width and length of the spiral arms. An experimental prototype is fabricated to validate the analysis. The measurement results show a good agreement with the simulation data. Compared with traditional mushroom-like EBG structures, the proposed EBG achieves more than 77% size diminution.
A Soft Computing Technique for Improving the Fidelity of Thumbprints Based Identification Systems

— With the advent of new thumbprint identification techniques, accurate personal identification is now easy and cheaper with approximately zero false acceptance rates. This paper focuses on developing an advance feature for thumbprint based identification systems with the help of soft computing and 2D transformation which makes the technique more flexible and Fidel. The thumbprint images of individuals were scanned with the help of H3 T&A terminal for collecting self generated datasets. The thumbprints of self generated and standard datasets were trained to form a refined set which includes linear and angular displacements of thumbprint images. The new obtained features of refined datasets were stored in the database for further identification. In the proposed technique, the minutiae coordinates and orientation angles of the thumbprint of a person to be identified are computed and merged together for comparison. The minutia coordinates and orientation angles of a person are compared with the minutiae trained set values stored in the database at different linear and angular rotations for identity verification. The proposed technique was tested on fifty persons self generated and standard datasets of FVC2002, FVC2004 and CASIA databases. In the experimentation and result analysis we observed that the proposed technique accurately identifies a person on the basis of minutiae features of a thumbprint with low FNMR (False Non-Match Rate) values.