Miracle-dz/UniFAR-FTUs huggingface dataset:
Structural Identification of Systems with Distributed Lag

The problem of structural identification of systems with the distributed lag in the conditions of uncertainty is considered. Known statistical approaches are laborious and not always allow making the decision on lag structure. Therefore in work for the problem decision the special class of static structures (SS) (virtual portraits) explored system is introduced. Process of the decision of a problem consists of two steps. At the first step set of secants for initial system is under construction. Completeness of set of secants is a sign of linearity of system. Nonfulfilment of conditions of completeness is a sign of nonlinearity of system. Estimation of nonlinearity of system execute on an indicator of level of nonlinearity of the system, offered in work. At the second step the special structural space is introduced and is defined SS for a nonlinear part of system. The estimation of nonlinear properties of system is executed on the basis of identification of parameters of set of secants SS. Criteria and algorithms of decision-making on structure of a lag on the basis of the analysis of virtual portraits are offered. The analogue of criterion of Durbin-Watson is offered. The received results are generalized on a case of the distributed lag in input and output variables of system. It is shown that to structural identification of systems with the distributed lag we will not apply the analysis of sector sets. The approach to parametrical identification of system with the distributed lag in the conditions of uncertainty is offered.
Constraints and Meaning-Making: Dealing With the Multifacetedness of Social Studies in Audited Teaching Practices

Purpose: The backdrop of the article is the emergence of an international and politically motivated ambition that aims at standardising the purpose and outcomes of teaching practices via various forms of outcome controls. This ambition of standardisation is discussed in a Swedish context in relation to social studies teaching, which, at its core, has highly diverse and sometimes conflicting aims and purposes. The purpose of the article is to analyse tensions that arise in practice as ten experienced Swedish social studies teachers implement outcome-focused reforms in their teaching, and to critically discuss implications for social studies teaching. Method: Interviews, observations and a conceptual framework built on Paul Ricœur’s discussion on the concept of practical reason has been used to analyse tensions that arose when the teachers implemented standardised tests and grading. Findings: Teaching practices shifted from social studies extrinsic dimensions (emphasising an open and individual understanding from social issues) toward social studies intrinsic dimensions (emphasising knowledge about a predetermined content) as a result of policy changes, teachers meaning-making of the reforms, and in relation to external constraints. In conclusion, it is argued that this shift risks circumscribing tools that can be used to deal with inherently complex subject dimensions.
Army Lightweight ExoAtmospheric Projectile ( LEAP )

This paper will discuss the progress of the Army Lightweight Exo-Atmospheric Projectile (LEAP) Program in the development and demonstration of light weight technologies for kinetic energy kill vehicles. The Army LEAP program is demonstrating these advanced technologies by integrating them into the smallest and lightest interceptor technology demonstrator being developed for the Strategic Defense Initiative Organization. The LEAP design and the results of the final two tests in the ground test program, a full up strapdown test and a free flight hover test, will be discussed as well as future design enhancements and test plans.
The Impacts of Helicobacter Pylori Antigen Positivity on Ankylosing Spondylitis Helicobacter Pylori Antijen Pozitivitesinin Ankilozan Spondilit Üzerine Etkileri

Aim: We aimed to clarify the impacts of H. pylori infection on disease activity and clinical findings of AS. Material and Method: Forty-eight patients with AS were included in this study. The demographic data including age, sex, durations of the disease and medication of the patients were recorded. The laboratory analysis comprised Erythrocyte sedimentation rate (ESR), C-reactive protein (CRP) and H. pylori antigen determination in gaita. The disease activity, functional disability and clinical status were assessed using the Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), The Bath Ankylosing Spondylitis Functional index (BASFI) and The Bath Ankylosing Spondylitis Metrology Index (BASMI) respectively. We divided patients according to H. pylori antigen positivity in gaita as H. pylori positive and negative patients. Results: The mean age of patients was 41.9+11.8. CRP levels were slightly but not significantly higher in patients with positive H. pylori antigen com pared to those in patients without H. pylori antigen in gaita (p=0.08). There was no significant difference in terms of ESR levels, BASDAI, BASFI and BASMI scores in patients with positive H. pylori antigen compared to those in patients with negative H. pylori antigen in gaita (p-values were >0.05 for all). In regression model BASDAI score was found to have no relationship with H. pylori antigen positivity, ESR and CRP levels (p-values were >0.05 for all). Discussion: H. pylori seemed to have probable impacts on the disease activity of AS. Studies with greater patient population and longer follow-up periods are warranted to enlighten this issue.
alibration and on-line data selection of multiple optical flow sensors for dometry applications

This work proposes a calibration method and a computational algorithm to integrate the data of multiple optical flow sensors for two-dimensional trajectory measurements. Optical flow sensors offer a different kind of odometer as compared to the wheel encoder. Using multiple sensors can reduce the effect of measurement uncertainties. Since all sensors are mounted on a rigid body, their measurement data must obey a certain relation, which is utilized in this work. Additionally, mathematical formulae are develeywords: ptical flow sensor ptical mouse dometry ultiple sensors oped to realize the computation. Analytical results show that the calibration procedure can be cast as an optimization problem given measurement data. Furthermore, the rigid-body relation is formulated as a null-space constraint using the calibrated parameters. Unreliable sensor measurements can be removed during operation by accessing the error distance to the null space. Experimental results are presented to support the proposed methods. t i a f t ( t g c s m s t a t a c alibration ata selection
The Globalisation of Labour Markets: A Content Analy sis of the Demand for Transnational Human Capital in Job Advertisements

This article analyses how globalisation has affected the demand for transnational human capital (foreign language skills, cross-cultural competence, knowledge about other countries and international experiences) over time, across levels of qualification, professional fields and countries. A content analysis of job advertisements in German and Dutch newspapers, as well as Eurobarometer survey data, shows that the demand for transnational human capital, especially in the form of foreign language skills, has increased in recent decades, with that demand being most pronounced among high‐skilled jobs in the service sector. Moreover, there are significant national differences in the importance of transnational human capital, determined by a country’s level of globalisation and the global diffusion of its official language. Our study shows, however, that there are methodological limits to the content analysis of job postings for determining labour market demand, especially when specific skills and qualifications, e.g. English language skills, are increasingly taken for granted.
Molecular cloning and tissue expression analyses of a UF 3 GT gene from Capsicum annuum L .

1 College of Horticulture and Landscape, Yunnan Agricultural University, Kunming 650201, China. 2 Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, Kunming 650224, China. 3 Institute of Vegetable Crops, Hunan Academy of Agricultural Science, Changsha 410125, China. 4 Faculty of Animal Science and Technology, Yunnan Agricultural University, Kunming 650201, China.
Supersymmetry searches at CMS - Summary of selected Supersymmetry searches of CMS at √s = 8 TeV

The accumulation of 19 fb −1 of data at 8 TeV has been a unique window for Su- persymmetry searches at the LHC, allowing the CMS collaboration to search for specific supersymmetric particles. This article covers the search for supersymmetric particles in a variety of production- and decay-modes as well as channels. It focuses on the search for the lightest scalar top (stop) in the single lepton channel, stop which might be the only observable in the case where Supersymmetry is realized in nature, and which can play a unique role in "naturalness".
The REMPARK System

As it has been presented and described in previous chapters, Parkinson’s Disease is a progressive neurological condition. Unfortunately, there is no known cure for the disease and only treatments focused to the management and mitigation of the different symptoms are available to patients. A well-designed and adapted technological approach (mainly based on WT and machine learning, as suggested in Chapter 2) can help both, the patients and their neurologists, for a better management and follow-up of the disease evolution. This will open the possibility to more effective therapies in order to improve patients’ daily activities. From the beginning, with this specific aim, REMPARK project proposed four main objectives to be covered:
Comparison of Wavelets and a new DCT Algorithm for Sparsely Sampled Reconstruction

1() . minimize m s t F m y Ω Ψ= In equation 1 represents the transform, m the reconstructed image, F the sub sampled Fourier transform matrix and y the k-space samples. For the Wavelet variant of the minimization represents the Wavelet transform, whereas in the DCT variant it represents a windowed version of the DCT. For computing these minimization problems a variant of POCS was implemented. RESULTS In order to compare the DCT and Wavelet based approaches in MRI, two complex images of 256x256 pixels were obtained using a 0.5T Philips Gyroscan scanner. Two knee images were taken in the sagittal and coronal planes using 2DFT spin echo trajectories with TE=30ms and TR=500ms. The DCT approach was compared with Wavelet algorithms using Daubechies 4 and Daubechies 8 Wavelets. All three were implemented with an asymmetric 35% k-space sub sampling using 90 of 256 lines, with 53 central lines. The results were compared with a fully sampled reconstruction using the MSE and PSNR indices given in equations 2 and 3. The reconstructed images are shown in figures 1 and 2 while the performance indices for each method are shown in the table below. 11 2
Experimental platform for the investigation of magnetized-reverse-shock dynamics in the context of POLAR

The influence of a strong external magnetic field on the collimation of a high Mach number plasma flow and its collision with a solid obstacle is investigated experimentally and numerically. The laser irradiation ( $I\sim 2\times 10^{14}~\text{W}\cdot \text{cm}^{-2}$ ) of a multilayer target generates a shock wave that produces a rear side plasma expanding flow. Immersed in a homogeneous 10 T external magnetic field, this plasma flow propagates in vacuum and impacts an obstacle located a few mm from the main target. A reverse shock is then formed with typical velocities of the order of 15–20 $\pm$ 5 km/s. The experimental results are compared with 2D radiative magnetohydrodynamic simulations using the FLASH code. This platform allows investigating the dynamics of reverse shock, mimicking the processes occurring in a cataclysmic variable of polar type.
Key aspects for the development of applications for Mobile Cloud Computing

Mobile networking has changed people's lifestyles and the business world drastically. It can be widely implemented and with the ability to use this mobile computing, companies can increase their productivity greatly through this practice. Devices and mobile networks have limitations, such as battery life or processing speed, these further hinder the utilization of this method of work. Cloud Computing is an application that reduces the impact of the limitations that mobile computing presents. However, besides the characteristics of mobile computing as well as the technological advances, such as mobile TV or workplaces that implement BYOD, clearly differentiate even more Cloud Computing from traditional mobile computing. Due to the impact that this kind of computing brings to society one must rethink the solutions that developer propose while creating and developing of new applications for Mobile Cloud Computing.
The role of FLO 11 inSaccharomyces cerevisiae bio ¢ lmdevelopment ina laboratorybased £ ow-cell system

A role of the FLO11 in Saccharomyces cerevisiae biofilm development in a flow cell system was examined. We carried out an ectopic FLO11 expression in the wild type (wt) BY4741 strain that has low levels of endogenous FLO11 transcript. In contrast to the nonadhesive wt, the FLO11 overexpression strain (BY4741 FLO11) readily adhered to both liquid-hydrophobic and liquid-hydrophilic solid interfaces and was able to grow as a biofilm monolayer in a flow system. Cellular features associated with FLO11 were examined and found to be consistent with the previous studies conducted in different strains of S. cerevisiae. When grown in suspended liquid culture, BY4741 FLO11 formed larger cellular aggregates (clumps), consisting of from five to 60 cells, and displayed an increased cell surface hydrophobicity, without changes in the cell size or growth rate, compared to wt. However, the invasive growth associated with FLO11 expression was not observed in BY4741 FLO11. The significance of these findings is discussed in the context of clinically and industrially relevant biofilms.
Combination of Natural Dye (Crocetin) and Synthetic Dye (Indoline D205) for DSSCs Application

Dye-sensitized solar cells (DSSCs) are reckoned as emerging next-generation solar cells of a high potency. Co-sensitization of dyes facilitates widening of the light absorption range of a sensitizer and is one of possible options to improve overall DSSC performance. In this work, an effect of combination of the natural crocetin dye and synthetic metal free indoline D205 dye was studied. Molecular design of a complex formed from the individual dyes was attempted. The structures, vibrational and electronic spectra of the species were computed by DFT and TD-DFT B3LYP5 methods with mid-sized basis sets. The UV-vis absorption spectra were measured for individual dyes and their mixture in chloroform solutions. Electron density distribution of the frontier molecular orbitals and energy levels alignment were used for analysis of the electronic spectra and mechanism of transitions. The results indicated that the designed complex can be considered as a potential candidate for DSSCs application with improved properties compared to the individual dyes.
The Effects of Delayed Visual Feedback on Postural Dynamics

We report on experiments and modeling of the interactions between delayed visual feedback and postural control in human quiet stance. A heuristic model is derived based on physiological and psychophysical parameters. The level of agreement found between the data and the model was found to be very good for power spectral densities, probability density functions and mean-squared displacements (or Hurst exponents). The stochastic delayed differential model identifies critical time scales of postural corrections. We also investigate properties of the model such as stability, small delay approximations and the power spectral density. Lastly, we use nonlinear time series techniques to investigate the temporal structure of the experimental postural dynamics. We propose the first dynamical model of visually assisted posture control.
Phenotypic plasticity of wall ultrastructure in the green alga Pediastrum s.l. (Chlorophyta, Sphaeropleales)

This study examined wall ultrastructure variability in the microscopic green alga Pediastrum s.l. Its value as a diagnostic character is discussed. Field and cultured material of 21 taxa were compared using light and scanning electron microscopy. Nine ultrastructural elements occurring on the surface of Pediastrum are documented with LM and SEM micrographs. The highest number of taxa showed reticulate ornamentation composed of a trigonal mesh and granules situated on its corners. The paper considers the use of wall ultrastructure to reconcile traditional and modern taxonomical systems with regard to Pediastrum varieties, and addresses the phylogenetic relationships between strains representing different varieties.
The Effects of Cooperative Learning on Different Ability Level Students ' Perceptions of the Science Classroom Environment

The Effects of Cooperative Learning on Different Ability Level Students' Perceptions of the Science Classroom Environment The purpose of this study was to determine the effects of different types of cooperative learning environments on low, average, and high ability students' perceptions of the middle school science classroom environment. To analyze the impact of these effects, students in no cooperative learning environments, average cooperative learning environments, and high cooperative learning environments were compared to one another on five measures of perceptions: cohesiveness, satisfaction, friction, competitiveness, and difficulty. Fifteen teachers and 1185 students participated in the study which was conducted in the sixth, seventh, and eighth grades of two middle schools. Several types of data were collected: pretest and posttest data, descriptive data gathered from a questionnaire completed by the classroom teachers to assess the quality and quantity of cooperative learning, informal interviews with teachers, and classroom observation data. Using the My Class Inventory (MCI), all participants of the study were administered a pretest and posttest. A 3 x 3 Factorial Mult_variate Analysis of Covariance was use to statistically analyze the data. The classroom was used as the unit of analysis. The perception dimensions on the pretest were used as the covariates, and posttest perception dimensions as the dependent variables. A Tukey post hoc procedure was employed to determine which groups were significantly different from each other. The results indicated the dimensions of cohesiveness and competitiveness were significant for the main effect of type of cooperative learning environment. Students in the no cooperative learning environments perceived the science classroom as more cohesive than the students in the average and high cooperative learning environments. There was no significant difference between the high cooperative and average cooperative learning environments on this dimension. On the dimension of competitiveness, the average cooperative learning classes perceived themselves as less competitive than the no and high cooperative learning classes. There was no difference between the no cooperative learning classes and the high cooperative learning classes. Cohesiveness with ability level was significant where low ability students perceive the science classroom as more cohesive than their average ability peers, and high ability students perceive their science learning environment as the least cohesive of the three ability levels. No significant interaction effects were found between the type of cooperative learning environment and ability level. The dimensions of satisfaction, friction, and difficulty were not significant. The qualitative data werr. used to aid in the interpretation of the statistical resuts. The implications and recommendations for science educators, teacher educators and researchers are given.
Influence of sample size on flatness estimation and uncertainty in three-dimensional measurement

To respond correctly to its function in a mechanism, a mechanical part should have a good dimensional and geometric quality. In three-dimensional measurement, the preferred tool of control is currently the coordinate measuring machine CMM, the evaluation of flatness defect of a part is a very common task in this area, and the decisions made based on the measurement result may be outliers when the uncertainty of measurement result is not taken into account. The evaluation of uncertainty is a delicate task in this area given the diversity of parameters that relies in. The number of points collected on the surface is one of the influencing factors. The choice of this parameter is left to the operator, and the value taken by this parameter affects both the estimated flatness and the associated uncertainty. In this paper we present the effect of a number of points collected during the inspection of a surface on the estimated flatness and the associated uncertainty. A new identification method is presented here. The flatness deviation uncertainty is quantified by applying the law of propagation of uncertainties. The treated data sets are the result of experimental measurements performed on a CMM by measuring an industrial part.
Wireless sensor networks for activity monitoring in safety critical applications

The ability to monitor posture is essential to many application areas, including virtual reality, health, and sports applications. The work here focuses on the use of postural monitoring in safety critical missions such as explosive ordnance disposal (EOD) missions. The operatives undertaking these missions are commonly placed under a high level of physical and psychological strain due to the weight of the protective armoured suit and the potential risk of their work. Remote monitoring of posture may allow a better understanding of the operative’s status. When combined with additional health information, posture can enhance the accuracy of operative’s global state estimation. Previously, a Body Sensor Network based (BSN) posture monitoring system consisting of nine accelerometers was designed and implemented by the authors here. The system was able to recognise six specific postures (sitting, kneeling, crawling, and three variations of laying on the ground) with high accuracy. However, the system was unable to consistently distinguish between a subject standing, walking or running. In order to counteract this limitation, a new prototype utilising additional sensors and an augmented data processing method has been implemented and evaluated and is reported here.
Trade, global value chains and wage-income inequality

The rise in global value chain (GVC) participation has coincided with significant changes in the distribution of wage income both within and across countries. This paper sets out to identify the linkages between these phenomena. It shows that GVC participation has a small effect on the distribution of wages and, when it has, it can reduce wage inequality when it concerns participation related to low-skilled segments of the labour force. This suggests that the potential tensions between equity and aggregate economic outcomes of GVC participation hold only in particular cases, namely when participation relates to high-skilled segments of the labour force. For policy-makers seeking to maximise the benefits of GVC participation, questions of a more equitable distribution of returns to workers might focus on skill-upgrading of low-skilled labour by promoting further tertiary education and development of skills.