Miracle-dz/UniFAR-FTUs huggingface dataset:
Assessment of Genetic Variability for Yield and Bran oil Content in Segregating Generations of Rice

The development of superior rice genotypes involved the intelligent use of available genetic variability both indigenous as well as exotic to cater the need of various farming situations of rice. The grain yield is the primary trait targeted for improvement of rice productivity in both favourable and unfavourable environments from its present level. Knowledge on the genetic architecture of genotypes is necessary to formulate efficient breeding methodology. It is essential to find out the relative magnitude of additive and non-additive genetic variances, heritability and genetic gain with regard to the characters of concern to the breeder. Yield of paddy is controlled by many genes interacting with environment. Selection of parents on the basis of yield is often misleading. Hence, it is imperative to know the cause and effect relationship between yield and yield attributing characters for an efficient selection strategy for the plant breeders. The systematic breeding programme involves the steps like creating genetic variability, practicing selection and utilization of selected progenies to evolve promising genotypes. The large spectrum of genetic variability in segregating populations depends on the level of genetic diversity among genotypes offer better scope for selection. Heritability and genetic advance International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 11 (2017) pp. 117-124 Journal homepage: http://www.ijcmas. com
Three Essays on Mixed Quantitative-Qualitative Assessment Using Multiple Criteria Decision Analysis

This dissertation consists of three essays on applications of multiple criteria decision making (MCDM) for mixed quantitative-qualitative assessments. Essay one focuses on proposing an approach to assess the change management capability of organizations/projects by computing an agility index. Several criteria are involved in such an assessment. In this sense, an MCDM model founded on the concept of membership function, as defined in fuzzy set theory is presented. Essay two develops a two-dimensional risk-based project-to-organization matching matrix to help project owners/managers in their go-no-go decision making process. It presents a more realistic approach towards project risk assessment, in comparison with commonly practiced single dimension approaches, by jointly considering project risk levels and company risk manageability levels. Essay three concentrates on developing a two-stage multiple criteria dynamic programming approach for the problem of supplier selection and order allocation. Selection of suppliers is a typical multiple criteria decision making (MCDM) problem that involves both qualitative and quantitative criteria. In the order allocation model, the manufacturer is to determine the quantity she should purchase from each supplier when a minimum total cost of purchase (TCP) and a maximum total value of purchase (TVP) is desired. Due to dynamism embedded in ordering prices, demand and other parameters, we seek a solution for this bi-objective optimization problem through a dynamic programming approach.
Time budget of Greater Snow Geese during the brood-rearing period

The time budget of Greater Snow Geese Anser (Chen) caerulescens atlanticus was measured on northern Baffin Island from 27 July to 17 August 1981, during the rearing of young by moulting parents and the post-moult of non-breeding geese. Adults with young spent only 25% of the time feeding and 40% in alert position, probably because of the presence of arctic foxes in the area. Non-breeders spent the same amount of time (28%) foraging as they did preening their new feathers. Daily activity of young consisted mostly of foraging (55%) and resting (24%). No clear activity rhythms could be detected under the 24-hour daylight regime with one exception: adult geese with young rested more during the 06.00-12.00 hrs period.
Multifractal Nature of Diesel Engine Rattle Noise in Vehicle

The investigation results of the emission of noises accompanying the diesel engine powertrain running in unloaded condition at low or idle speed, are presented in the hereby paper. The multifractal nature of the tested signals was confirmed by means of two groups of parameters. The proposed local parameters are based on the distribution of the probability density of measures, segregated into subsets according to pointwise Holder exponents. The obtained spectra constitute a set of multifractal measures related to singularities representing the local scaling of measures in various points of the time series. Global parameters were defined on the basis of multifractal measures of the parametrised Renyi’s entropy. These are properties treating summarily the whole spectrum of the emitted noise and reflecting changes of the vibroacoustic energy levels generated by noise sources. The tests encompassing simultaneous application of both groups of parameters confirmed their efficiency in the comparative analysis as well as in the subjective assessment of the noise level generated in the drive system of vehicles with diesel engines. This opens new possibilities within the simulation range of vehicle noises, for the needs of constructing the passive and active reduction systems of the effects of the vibroacoustic energy propagation.
Search for the electroweak production of supersymmetric particles in √ s = 8 TeV pp collisions with the ATLAS detector

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Application of artificial neural networks to predict the deflections of reinforced concrete beams

Abstract Nonlinear structural mechanics should be taken into account in the practical design of reinforced concrete structures. Cracking is one of the major sources of nonlinearity. Description of deflection of reinforced concrete elements is a computational problem, mainly because of the difficulties in modelling the nonlinear stress-strain relationship of concrete and steel. In design practise, in accordance with technical rules (e.g., Eurocode 2), a simplified approach for reinforced concrete is used, but the results of simplified calculations differ from the results of experimental studies. Artificial neural network is a versatile modelling tool capable of making predictions of values that are difficult to obtain in numerical analysis. This paper describes the creation and operation of a neural network for making predictions of deflections of reinforced concrete beams at different load levels. In order to obtain a database of results, that is necessary for training and testing the neural network, a research on measurement of deflections in reinforced concrete beams was conducted by the authors in the Certified Research Laboratory of the Building Engineering Institute at Wrocław University of Science and Technology. The use of artificial neural networks is an innovation and an alternative to traditional methods of solving the problem of calculating the deflections of reinforced concrete elements. The results show the effectiveness of using artificial neural network for predicting the deflection of reinforced concrete beams, compared with the results of calculations conducted in accordance with Eurocode 2. The neural network model presented in this paper can acquire new data and be used for further analysis, with availability of more research results.
A control-oriented dynamic wind farm model: WFSim

Abstract. Wind turbines are often sited together in wind farms as it is economically advantageous. Controlling the flow within wind farms to reduce the fatigue loads, maximize energy production and provide ancillary services is a challenging control problem due to the underlying time-varying non-linear wake dynamics. In this paper, we present a control-oriented dynamical wind farm model called the WindFarmSimulator (WFSim) that can be used in closed-loop wind farm control algorithms. The three-dimensional Navier–Stokes equations were the starting point for deriving the control-oriented dynamic wind farm model. Then, in order to reduce computational complexity, terms involving the vertical dimension were either neglected or estimated in order to partially compensate for neglecting the vertical dimension. Sparsity of and structure in the system matrices make this model relatively computationally inexpensive. We showed that by taking the vertical dimension partially into account, the estimation of flow data generated with a high-fidelity wind farm model is improved relative to when the vertical dimension is completely neglected in WFSim. Moreover, we showed that, for the study cases considered in this work, WFSim is potentially fast enough to be used in an online closed-loop control framework including model parameter updates. Finally we showed that the proposed wind farm model is able to estimate flow and power signals generated by two different 3-D high-fidelity wind farm models.
THE PROFILE OF SCHOOL SPORTS COACHES IN A EUROPEAN

The present cross-national study was conducted with the objective of assessing the profiles of school sport educators in Portugal, France, Italy and Spain. With this purpose, a focus was upon understanding the teaching profile of these coaches of school sport in relation to the following models: traditional, technological, innovative, collaborative, communicative and critical. A quantitative methodological design was used with a sample of 345 subjects who completed a questionnaire that had been previously validated by Ibáñez (1996) and Feu (2006) with coaches of basketball and handball, respectively. Among the noteworthy Rev.int.med.cienc. act. fís. deportevol. 11 número 42 junio 2011 ISSN: 1577-0354 279 results was that the communicative coach profile was most highly valued by the participants followed by the critical and innovative profiles. Meanwhile the collaborative, traditional, and technological profiles were less valued.
Experimental Analysis of Spatial Evolution of Mean Droplet Diameters in Effervescent Sprays

Effervescent atomization has established itself in the past decade as a promising alternative to conventional spray formation mechanisms. A great effort is currently being put into understanding the involved phenomena and developing numerical models to predict outcomes of processes relying on effervescent atomizers (i.e. spray combustion, coating, drying). This still proves to be a formidable challenge as effervescent atomization is a complex process involving two phase flow. The presented paper focuses on mean droplet sizes and how they vary throughout effervescent sprays at different operating conditions. The experiment was performed using Phase Doppler Anemometry (PDA) and the droplet data were collected in multiple locations varying both axially and radially. At each measurement location the Sauter Mean Diameter (SMD) was computed. The preliminary results show that closer to the spray nozzle the bigger droplets are concentrated in the spray core, while the small droplets are in the peripheral regions. However, this trend is slowly reversing with increasing distance from the spray nozzle. Finally, from a certain distance the initial trend is completely reversed with the small droplets being in the spray core, while larger droplets are found closer to the edge of the spray. Moreover, this phenomenon seems to be independent of operating conditions. Reasons for such behaviour are suggested and discussed. Furthermore, SMD sensitivity to operating conditions is analysed.
Decay times of transitionally dense specularly reflecting meteor trails and potential chemical impact on trail lifetimes

Abstract. Studies of transitionally dense meteor trails using radars which employ specularly reflecting interferometric techniques are used to show that measurable high-temperature chemistry exists at timescales of a few tenths of a second after the formation of these trails. This is a process which is distinct from the ambient-temperature chemistry that is already known to exist at timescales of tens of seconds and longer in long-lived trails. As a consequence, these transitionally dense trails have smaller lifetimes than might be expected if diffusion were the only mechanism for reducing the mean trail electron density. The process has been studied with four SKiYMET radars at latitudes varying from 10 to 75° N, over a period of more than 10 years, 24 h per day. In this paper we present the best parameters to use to represent this behaviour and demonstrate the characteristics of the temporal and latitudinal variability in these parameters. The seasonal, day–night and latitudinal variations correlate reasonably closely with the corresponding variations of ozone in the upper mesosphere. Possible reasons for these effects are discussed, but further investigations of any causative relation are still the subject of ongoing studies.
A DEEP CHANDRA OBSERVATION OF THE X-SHAPED RADIO GALAXY 4C +00.58: A CANDIDATE FOR MERGER-INDUCED REORIENTATION?

Although rapid reorientation of a black hole spin axis (lasting less than a few megayears) has been suggested as a mechanism for the formation of wings in X-shaped radio galaxies (XRGs), to date no convincing case of reorientation has been found in any XRG. Alternative wing formation models such as the hydrodynamic backflow models are supported by observed trends indicating that XRGs form preferentially with jets aligned along the major axis of the surrounding medium and wings along the minor axis. In this Letter, we present a deep Chandra observation of 4C +00.58, an odd XRG with its jet oriented along the minor axis. By using the X-ray data in tandem with available radio and optical data, we estimate relevant timescales with which to evaluate wing formation models. The hydrodynamic models have difficulty explaining the long wings, whereas the presence of X-ray cavities (suggesting jet activity along a prior axis) and a potential stellar shell (indicating a recent merger) favor a merger-induced reorientation model.
Self-synchronized converter for fast synchronization between low voltage microgrid and inverter connection

In this research, a fast-synchronization between single-phase microgrid and inverter in low voltage, which is based on virtual synchronous converter (VSCon) technique is been developed. This technique does not require any phase locked loop (PLL) circuit as an external control structure for the synchronization of the inverter. As known, PLL is a common technique in order to synchronize the amplitude, phase-angle and frequency between a microgrid and an inverter in distributed generation network. Previous studies show that, the disadvantage of PLLs is where the non-linear characteristic on the signal process will result the inverter control to be non-linear. Therefore, it is difficult and lengthy process to tune the PLL gains to reach suitable performance in order to synchronize the voltage, phase-angle and frequency between microgrid and inverter. As a result, a VSCon is been developed in which it is a selfsynchronized inverter which is based on synchronous generator mathematical model. This controller acts like as synchronous generator operating system in inverter control loop in order to achieve fast voltage, phase and frequency synchronization between inverter-microgrid connection. This technique has been modeled, simulated and tested in Matlab/Simulink software. It is by using a single-phase AC source input system connecting with several load variations during simulation period. This VSCon has been placed in inverter control loop to generate a pulse width modulation (PWM) signal that responds to the grid information for to synchronizing the inverter output voltage with the grid voltage. A single source input at 120V, 50Hz frequency and 240V, 50Hz frequency are used in order to see the self-synchronization response between a microgrid and an inverter. Furthermore, it also been tested when the grid frequency has been changed from the rated frequency at 50Hz to 51Hz and the result shows that, VSCon takes nearly 1-cycle to synchronize to this new frequency value. The grid phase angle test also has been conducted. For this test, the voltage grid which has 100 phase delay has been created in the input voltage source at microgrid side. As a result, the VSCon is also able to achieve self-synchronization with this new source input phase delay in just within 1.5 cycles or 30ms after the inverter has been connected to the microgrid. From all the results that have been collected, this technique can be an improved model for inverter to have synchronization between inverter and microgrid which is not require a PLL circuitry model in order to maximize the power transfer from the inverter to the microgrid when it been applied to the distributed generation network.
Biokinetics of americium and plutonium in the mussel Mytilus edulis

Biokinetics in the mussel Mytilus edulis L. for americium and plutonium taken up from water and labelled dlatoms 73alassiosira pseudonana were studied in a series of laboratory experiments. Mussels concentrated Am and Pu 10 to 50 times from both water and labelled diatoms in 5 d. Mussels retained between 1.5 and 16 % of the Am ingested with labelled diatoms, the highest retention efficiency being reached for the lowest algal cell density tested. Retention efficiency for Am was about twice that for Pu. Pu kinetics in mussels fed Pu(II1-IV) and Pu(V-VI) labelled d~atoms were den tic al. Pu taken up from labelled diatoms was lost from soft parts at a slower rate than Am, resulting in decreasing Am/Pu ratios in the soft parts during the depuration phase. Am taken up from labelled diatoms was principally contained in the visceral mass and excreted in feces. Uptake of Pu and Am over 24 h from water was proportional to the ambient concentration for shell, soft parts, and whole animal. After 5 d uptake from water the Arn/Pu ratio in soft parts was 1.5 times higher than in the ambient seawater; 20 to 30 % of the Pu and 30 to 40 % of the Am body burden was assoc~ated with the soft parts. Following uptake from water, loss from soft parts and shells proceeded at similar rates. Whole body elimination was faster for both elements after uptake from labelled diatoms than from water, and after simultaneous uptake by both routes. Pu was lost slightly faster than Am. After 75 d of loss the biological half-life in the most slowly exchanging compartment ranged from 73 to 108 d for both elements. Pu was lost from dead shells faster than Am, resulting in increasing Am/Pu ratios during the loss phase. However, dissected shells from live mussels showed no increased Am/Pu ratio during the loss phase. Am and Pu leached from fecal pellets at rates (T,,: 2 to 3 W) which increased with temperature and salin~ty. The results show that uptake from water as well as from food will contribute to the mussels' Am and Pu body burden and that both routes of uptake could lead to the elevated Am/Pu ratios observed in soft parts of mussels contaminated in the natural environment.
Evidências de validade da escala de síndrome pré-menstrual

Preliminary Pre-Menstrual Syndrome Scale Validation Studies on exclusively female variables are rare in national literature. The present study aimed at a preliminary validation of the Premenstrual Syndrome Scale (PmSS). The instrument was elaborated based on proposals from nursing and nutrition specialists and was reviewed by judges who evaluated the proposed items and factors. Subsequently, the instrument was applied to 391 workers through a virtual link. The validity indicators were identified from the confirmatory factor analysis, where the best fit was presented by a two-factor model, with a lower chi-square, fewer degrees of freedom, in addition to a RMSEA of 0.04 and an CFI of 0.98. The two factors that make up the final scale (emotional factor and physical factor) contain a total of 38 items.
Reconfigurable Multimedia Environment

This paper presents a bespoke solution for a realtime reconfigurable audiovisual routing system for capture and playback within a pervasive multimedia environment. Having the ability to capture user interaction and experience is essential when conducting usability research. At the University of Sussex a Higher Education Funding Council for England (HEFCE) funded research lab has been developed to allow user centred research to be conducted. Within the lab a solution was required which would let researchers record from multiple camera sources as well as playback video feeds to many display devices. The desired solution would let researchers have control over audiovisual routing, allowing them to have design flexibility over their experiments without the need for dedicated technical support. The solution presented removes the need for the user to have any knowledge of the underlying hardware within the lab by creating a software layer used to re-route audiovisual capture, output, and playback. It allows for rapid setup giving users more freedom with experiment design, enabling them to design practically any type of experiment for large groups of people. Furthermore, experiments have a more realistic outcome as designs can be modified during runtime.
On Quantum Risk Modelling

This paper is devoted to the connection between the probability distributions which produce solutions of the one-dimensional, time-independent Schr? dinger Equation and the Risk Measures’ Theory. We deduce that the Pareto, the Generalized Pareto Distributions and in general the distributions whose support is a pure subset of the positive real numbers, are adequate for the definition of the so-called Quantum Risk Measures. Thanks both to the finite values of them and the relation of these distributions to the Extreme Value Theory, these new Risk Measures may be useful in cases where a discrimination of types of insurance contracts and the volume of contracts has to be known. In the case of use of the Quantum Theory, the mass of the quantum particle represents either the volume of trading in a financial asset, or the number of insurance contracts of a certain type.
Performance Analysis of Cavitating Flow in Centrifugal Pumps Using Multiphase CFD

A multi-phase CFD method is used to analyze centrifugal pump performance under developed cavitating conditions. The differential model employed is the homogeneous two-phase Reynolds-Averaged-Navier-Stokes equations, wherein mixture momentum and volume continuity equations are solved along with vapor volume fraction continuity. Mass transfer modeling is provided for the phase change associated with sheet cavitation. Quasi-three-dimensional (Q3D) and fully-three-dimensional analyses are performed for two impeller configurations. Using Q3D analysis, steady and time-dependent analyses were performed across a wide range of flow coefficients and cavitation numbers. Characteristic performance trends associated with offdesign flow and blade cavitation are observed. The rapid drop in head coefficient at low cavitation numbers (breakdown) is captured for all flow coefficients. Local flow field solution plots elucidate the principal physical mechanisms associated with the onset of breakdown. Results are also presented which illustrate the full three dimensional capability of the method.