Miracle-dz/UniFAR-FTUs huggingface dataset:
CO2 Spontaneous Raman Scattering: an alternative thermometry for turbulent reactive flows

Economic and ecological issues make necessary an in-depth study of combustion processes. Whether in-situ measurements of temperature are a key point to validate numerical combustion model, yet they still challenging in high temperature reactive flows. Previous studies have shown that non-intrusive thermometry method based on spectral fitting of N 2 Spontaneous Raman Scattering (SRS) was relevant to precisely characterize turbulent air flames. However, this technique may be less appropriate to study emerging processes such as oxyfuel combustion. The purpose of this paper is to demonstrate that spectral fitting of CO 2 SRS is a compelling alternative for temperature measurements in oxyfuel flames where N 2 is absent. Using a pure vibrational description of CO 2 SRS spectra, spectral fitting temperature measurements are made in several cases (heated gases, premixed laminar CH4/air Bunsen flames) to assess the accuracy over a wide range of temperature, from 300 K to 2200 K. Measurements uncertainties depending on experimental conditions and CO 2 signal levels are also discussed. Finally, single-shot temperature profiles in the flame front of a premixed CH 4 /O 2 /CO 2 Bunsen flame shows an excellent agreement with simulation. This study opens a lot of prospects for future experimental studies of turbulent oxyfuel flames, especially in the objective of carbon capture and storage.
APPLICATION OF ADDITIVE MIXED EFFECTS MODELS TO STUDY THE STEM RADIAL GROWTH OF EUCALYPTUS TREE

Classical techniques such as simple and multiple parametric regression analyses assume the linearity of the relationship between the response and independent variables. Moreover, these classical techniques rely on the rigid assumptions of constant variance and the independent and identical distributions of the error terms. Consequently, a consideration of a more flexible approach can greatly influence the accuracy of our analysis. The objectives of this study are to evaluate and suggest an alternative approach to the classical parametric methods. The stem radius data obtained from Sappi landholdings in eastern South Africa were used. Stem radius of two hybrid clones, namely Eucalyptus grandis × Eucalyptus urophylla and E. grandis × E. Camaldulensis clone was used as the response variable. Additive mixed effects model that incorporates a non-parametric smooth function is used. Different additive mixed models were fitted to show the functional relationship between stem radius and tree age. The relationship between stem radius and tree age depends on clone and season. This study suggests semi-parametric approach as an alternative to the usual parametric approaches especially when the functional relationship between the response and the covariate is not known.
Detail Diversity Analysis of Novel Visual Database for Digital Image Evaluation

The evaluation of the visual quality of digital images is most commonly performed with various objective and subjective quality assessment methods. To calculate and analyse these methods, usually one of predefined image databases, e.g. TID2008 or TID2013, is used to compare an unmanipulated image with a manipulated one. When comparing quality assessment parameters to the communication value of images, a different, hi-resolution and more detail-oriented image database is required; therefore, a novel database for the evaluation of digital images was developed. Using detail coverage and color difference calculations, the research team designed a series of 30 color images with 28 manipulations that can be successfully used for determining the correlations among various quality assessment parameters, metrics and the communication value (ability to communicate) of digital images. The parameters that were used to manipulate images include sharpness, contrast, noise, compression, resizing and lightness (all were chosen based on real-life photography usage). Using RMSE (root mean square error), PSNR (peak signal to noise ratio) and SSIM index (structural similarity index) assessment methods, the influence of image details on quality parameters was calculated. The calculations demonstrate the importance of each parameter and its influence on the image visual quality. The results show a new way of understanding quality parameters and predicting which quality parameter is more important when the image is more or less complex. Complexity as a mathematical value is closely correlated to the content of an image. Hence, understanding the results of this research can help photographers and editors choose a more suitable digital image for publication. The benefits are not only theoretical, but can be applied instantly in real-life use.
Genetic variation and divergence in Scots pine ( Pinus sylvestris L . ) within its natural range in Italy 26 27

(Article begins on next page) Anyone can freely access the full text of works made available as "Open Access". Works made available under a Creative Commons license can be used according to the terms and conditions of said license. Use of all other works requires consent of the right holder (author or publisher) if not exempted from copyright protection by the applicable law. Availability: This is the author's manuscript
Themediating role of training and development practices

Purpose – This paper aims to investigate the relationship between home-to-work spillover, measured as positive and negative home–work interference (HWI) and turnover intentions, as well as the mediating role of perceptions concerning training and development practices. Design/methodology/approach – Data were collected among 418 respondents who were working at two business schools. A confirmative structural equation modeling analysis was conducted for the analysis. Findings – As expected, positive HWI showed negative relationships with turnover intentions, while negative HWI related positively to turnover intentions. Training and development practices mediated the relationship between positive HWI and turnover intentions; the mediation effect was stronger for women than it was for men. Training and development practices did not mediate the relationship between negative HWI and turnover intentions, however. Practical implications – The outcomes suggest that helping employees to balance their work and home lives can be beneficial for employees, as well as for employers in terms of reducing turnover intentions. Originality/value – As contributions, additional insight into the relationship between positive and negative non-work factors and turnover intentions by examining the ways in which both positive as well as negative HWI are related to turnover intentions. Furthermore, the research considers the mediating role played by perceptions concerning human resource (HR) practices, and particularly training and development EJTD 42,3/4
VIBRATION ASSISTED RESIN TRANSFER MOULDING (VIARTM)

One of the most promising liquid composite moulding techniques is the Resin Transfer Moulding (RTM) that is the low-pressure injection of resin into a closed cavity filled with fiber preforms. The present paper deals with a new technique developed towards the resin flow enhancement through the fiber preform to reduce voids, bubbles and injection time. The study and the identification of the flow phenomena that emerge during the vibration of the mould and the preform has been revealed some very interesting mechanisms that dominates the resin flow through porous media, the fiber preform at the present case.
EVOLUTION OF DEVELOPMENTAL PROGRAMS IN VOLVOX (CHLOROPHYTA)

The volvocine green algal genus Volvox includes ! 20 species with diverse sizes (in terms of both diameter and cell number), morphologies, and developmental programs. Two suites of characters are shared among distantly related lineages within Volvox. The traits characteristic of all species of Volvox—large (>500) numbers of small somatic cells, much smaller numbers of reproductive cells, and oogamy in sexual reproduction—have three or possibly four separate origins. In addition, some species have evolved a suite of developmental characters that differs from the ancestral developmental program. Most multicellular volvocine algae, including some species of Volvox, share an unusual pattern of cell division known as palintomy or multiple fission. Asexual reproductive cells (gonidia) grow up to many times their initial size and then divide several times in rapid succession, with little or no growth between divisions. Three separate Volvox lineages have evolved a reduced form of palintomy in which reproductive cells are small and grow between cell divisions. In each case, these changes are accompanied by a reduction in the rate of cell division and by a requirement of light for cell division to occur. Thus, two suites of characters—those characteristic of all Volvox species and those related to reduced palintomy—have each evolved convergently or in parallel in lineages that diverged at least 175 million years ago (mya).
A Family of Riordan Group Automorphisms

In 2006, Bacher introduced a family of Riordan group automorphisms parametrized by three complex numbers. Bacher’s family is a subgroup of the group of automorphisms of the Riordan group and so is the subfamily parametrized only by two real numbers. Here, we study some of the algebraic properties of this subfamily and use the elements to point out isomorphisms between Riordan subgroups. In this context, we prove that the set of Riordan arrays whose row sum sequence is a sequence of partial sums, forms a Riordan subgroup. Moreover, we show that the well-known recursive matrices may be constructed from sequences of images of a Riordan array under automorphisms. Our construction also discloses a correspondence between the recursive matrices and a pair of well-defined Riordan arrays.
ANALYSIS OF THE RECOVERY OF PATIENTS WITH STROKE

The aim of current study was to assess the role of the rehabilitation for improvement of the functional capacity, the autonomy in the daily routines, ergotherapeutic activities and the quality of life of patients with stroke. Methods: 47 patients with stroke were included in the research and their functional status was assessed according to the Brunnstrom stages of stroke recovery, the modified Rankin scale, the Barthel index, Subjective Quality of Life. Results: In the beginning of the complex rehabilitation therapy the patients were almost entirely dependent and were notable to accomplish ergoterapeutic activities. At the end of the second rehabilitation course it was found a significant improvement of the general motor skills of the study participating patients (p<0.001). The results of the applied specialized rehabilitation program show that from 25.53 % for stages І and ІІ and 46.81 % for stage ІІІ of Brunnstrom patients from the beginning of the first course of rehabilitation until the end of the second course of rehabilitation recover the motor functions up to 60.47 % for stage ІV and 25.58 % for stages V and VІ. At the end of the second course of rehabilitation program, the patients without significant neurological deficit with mRS (0-2) are 90.69 % and with significant neurological deficit mRS (3-6) are 9.31%. Conclusion: The results confirmed the efficiency of the applied complex approach, but the recovery is not sufficient in terms of independence of the general movements and the patients’ social integration.
Robotic Mobile Testing for Truly Black Box Automation

R obots are widely used for many repetitive tasks. Why not software testing? Robotic Testing could give testers a completely new form of ‘blackbox’ testing, that is inherently more black box than anything witnessed previously. This article provides a comparison between the state-of-the-art simulated-based mobile test automation and our proposed robotic mobile testing. We give with scenarios for which robotic testing is beneficial (even essential), introducing a robotic mobile device test generator, Axiz. We illustrate the application of Axiz to a popular Google Calculator app.
Enhancement of Mechanical Properties of Melt-spun Process Al- Li Based Metallic Alloys for Aerospace Applications

Mechanical testing plays a significant role in evaluating properties of engineering materials, add to in developing new materials and in controlling the quality of materials for use in design and construction to using as part of an engineering structure for aerospace applications. In this study, Al-2Li-Cux (where x= 0.1, 0.3, 0.5, 0.7 and 1wt. %) alloys were produced by melt-spun technique, examined by different techniques. XRD and Differential scanning calorimetry shows that intermetallic compound (IMC) θ'(Al2Cu) formation, led to decreasing of thermal properties, melting temperature range (ΔT), energy transferred and tensile strength, increasing internal friction, due to the impact of the solute atoms upon the solvent lattice and the interaction of difference atomic species. On the contrary, alloys that do not formation θ'(Al2Cu), it's observed we have achieved significant improvements in mechanical properties and tensile strength (strength/density) and stiffness (elastic modulus/density) with small copper additions that are promising in the aerospace industry. It's obvious that best values of young modulus and ultimate tensile strength are 112 GPa and 514 MPa at 0.3wt%Cu, respectively. It was found that the degree of the yield point effect is influenced by the amounts of the solute atoms, the interaction energy between the solute atoms and the dislocations.
“ Development of Interpretable Models through Neuro-Fuzzy Networks ”

In this paper a methodology for development of linguistically interpretable fuzzy models is presented. The implementation of the model is conducted through the training of a neuro-fuzzy network, i.e., a neural net architecture capable of representing a fuzzy system. In the first phase the structure of the model is obtained by subtractive clustering, which allows the extraction of a set of relevant rules based on a set of representative input-output data samples. In the second phase, the model parameters are tuned via the training of a neural network through backpropagation. In order to attain interpretability goals, the method described imposes some restrictions on the tuning of parameters and performs membership function merging. In this way, it will be easy to assign linguistic labels to each of the membership functions used. Therefore, the model obtained for the system under analysis will be described by a set of linguistic rules, easily interpretable.
Self-Perceptions and Practices of a Group of Omani Cooperating Teachers for Supervising EFL Student Teachers ’ Grammar Teaching during Practicum

This study sought to investigate: a) practicum supervisors’ attitudes towards grammar teaching, b) Their perceptions of their practices in developing student teachers’ grammar teaching, and c) the relationship between their attitudes towards grammar teaching and their practices in preparing student teachers to teach grammar. The participants were 47 cooperating teachers from a variety of locations throughout Al-Batinah in the Sultanate of Oman in the 20102011 academic year. Data were collected via a literature-based instrument whose analysis revealed that 86.4% of the cooperating teachers “agreed” with the statements associated with the grammar teaching self-perception scale with a mean of 4.32. This implied they showed a positive self-perception. Results indicated that the average mean of participants’ practices on the four subscales, namely: modeling, personal attributes, pedagogical knowledge and feedback was 4.04. This implied that they perceived themselves as having “medium” capability to supervise grammar teaching. Results also confirmed that cooperating teachers’ self-perceptions on teaching grammar were positively related to their own practices for supervising grammar teaching. Implications were drawn from the study for practicum programs and the training of cooperating teachers.
The Emotional Needs of Women in Sports: An Exploration of Self-Efficacy, Self-Compassion, and Self-Conscious Emotions

This study examined the self-efficacy, self-conscious emotions, and self-compassion of women college athletes. While female athletes may benefit greatly from the athletic experience, little research has been done to address their emotional and mental well-being. Self-efficacy and the self-conscious emotions have been shown to be tied to both athletic success and emotional wellbeing while self-compassion has been identified as an effective tool for enhancing psychological well-being, particularly in athletes (Mosewich, Crocker, Kowalski, & DeLongis, 2013). In order to measure shame, a version of the Test of Self-Conscious Affect (Tangney & Dearing, 2003), was administered to volunteer subjects. Self-efficacy was measured using the Physical SelfEfficacy Scale (McAuley & Gill, 1983; Ryckman, Robbins, Thornton, & Cantrell, 1982) and selfcompassion was measured using the Self-Compassion Scale (Neff, 2003b). Results indicate that athletes experience an increased amount of self-conscious emotions and identify less self-efficacy than non-athletes. Practice implications for clinicians, coaches and athletes are explored with a focus on the specific needs of women in sports.
IAA-PDC-1504-13 METRICS FOR EVALUATING EFFECTIVE DISRUPTION OF HAZARDOUS NEAR-EARTH OBJECTS

In moving the science of NEO threat mitigation to effective engineering, many questions transfer from the laboratory to simulations of these ideas applied in a low gravity environment. As our understanding of NEO characteristics becomes better, many research groups have developing simulation packages to investigate strategies to best deflect, disrupt, or otherwise mitigate a threatening mass on an impacting (or near-impacting) trajectory. If all uncertainties regarding the behavior of a particular body under a mitigation strategy could be eliminated, bounded, or modeled, then computer simulations would represent a near-perfect truth case. Even in this unrealistic scenario, there would still be operational uncertainties related to the actual mitigation mission. This is especially the case when disruption of a target is the intended outcome [1], or for higher energy deflection methods where unintentional disruption is a very real (even likely) possibility [2]. Disruption has been proposed as the method of highest readiness for mitigating the most likely near-term threat of small NEOs, which contribute to dangerous high-altitude airburst events [1,3].
Immigrant Entrepreneurs , Diasporas and Exports No 2018-01-January Working Paper

In this paper we highlight a new complementary channel to the business and social network effect à la Rauch (2001) through which immigrants generate increased export flows from the regions in which they settle to their countries of origin: they can become entrepreneurs. Using very small-scale (NUTS-3) administrative data on immigrants’ location in Italy, the local presence of immigrant entrepreneurs (i.e. firms owned by foreign-born entrepreneurs) in the manufacturing sector, and on trade flows in manufacturing between Italian provinces and more than 200 foreign countries, we assess the causal relationship going from diasporas and immigrant entrepreneurs towards export flows. Both the size of the diaspora and the number of immigrant entrepreneurs have a positive, significant and economically meaningful effect on exports. In particular, we find that increasing the stock of (non-entrepreneur) immigrants by 10% would lead to a 1.7% increase in exports in manufacturing, while increasing the number of immigrant entrepreneurs in manufacturing by 10% would raise exports by about 0.6%.
Orchestrating MeerKAT's Distributed Science Data Processing Pipelines

The 64-antenna MeerKAT radio telescope is a precursor to the Square Kilometre Array. The telescope’s correlator beamformer streams data at 600Gb/s to the science data processing pipeline that must consume it in real time. This requires significant compute resources, which are provided by a cluster of heterogeneous hardware nodes. Effective utilisation of the available resources is a critical design goal, made more challenging by requiring multiple, highly configurable pipelines. We initially used a static allocation of processes to hardware nodes, but this approach is insufficient as the project scales up. We describe recent improvements to our distributed container deployment, using Apache Mesos for orchestration. We also discuss how issues like nonuniform memory access (NUMA), network partitions, and fractional allocation of graphical processing units (GPUs) are addressed using a custom scheduler for Mesos.
Study of Commitment Items Quality Members Effect on Price Synchronism in Tehran Stock Exchange

Accounting profit always as an exhibited item in financial statements has been considered by investors whom are attended as the most significant users of financial statements, so profit is a basis for the most economical decisions. In the research, effect of committing item quality members with price synchronism (a criterion to measure the proportional amount of corporating special information, which has been reflected in price) has been investigated in accepted corporations in Tehran stock exchange. In research, committing item quality members are independent variables and price synchronism is dependent variable. Price synchronism is an amplitude which shows industry and market returns and stock return differences in corporation level. The research is application based on its aim, is measuring and describing based on its performance and is one of the best. 127 corporations from 2010 to 2014 have been chosen by systematic deletion. To test research hypotheses panel data method and fixed effect method have been used. Research conclusions show that there is no relationship between involuntary commitment items qualities with price synchronism, but there is a meaningful direct effect between voluntary committing items with price synchronism for accepted corporations in Tehran stock exchange.
CENTRE FOR ECONOMETRIC ANALYSIS

This paper considers maximum likelihood for estimating the factors and the loadings from high dimensional categorical/mixed-measurement data. Both factors and loadings are treated as parameters to be estimated. Convergence rate of the estimated factor space, consistency, convergence rate and asymptotic normality of the estimated factors and the estimated loadings are established under mild conditions that allow for linear models, Logit, Probit and some other nonlinear models. The density function is also allowed to vary across subjects, thus mixed-measurement models are explicitly allowed for. This paper also establishes the limit distributions of the parameter estimates, the conditional mean as well as the forecast when these estimated factors are used as proxies in factor-augmented regressions. All these results are derived under the asymptotic framework where the cross-section dimension and the time dimension tend to infinity jointly at the same rate.