Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of n + Mn-55 cross section data up to 150 MeV neutron energy

A new evaluation was performed for the reaction system n + 55Mn in the neutron energy range from 0.001 to 150 MeV. The evaluation is based on the use of the ECIS96 and GNASH codes. A good description of available experimental data was achieved. A very limited set of existing evaluated data from the available international nuclear data libraries was used for the evaluation. The final general purpose data file was prepared in standard ENDF-6 format and was verified with standard format checking utilities. The data file will undergo benchmark testing and will be finally integrated into the JEFF-3.2 data library.
A biomechanical analysis of relationship between the head and neck position, vertebral column and limbs in the horse at walk and trot

Back pain is a common problem, and one contributing factor may be the training method used. The head and neck position plays an important role in the training of horses. However, how different positions affect the back and limb kinematics of the horse is not well described scientifically. It is important to understand how the rider affects the kinematics of the horse during training in order to prevent injury and also to facilitate rehabilitation of a horse with lameness or back dysfunction. The purpose of this thesis was to evaluate the effect of different head and neck positions on the kinematics of the back and limbs of the horse. The horses used in the present studies were privately owned riding horses competing at different levels. The measurements were done with skin-fixed markers and high speed cameras. The markers were placed on the head, neck, back and limbs of the horse. Cameras were positioned around a treadmill and in study III and IV the treadmill was instrumented with a force measuring system. In study I-II, the horses walked and trotted on the treadmill with three different head and neck positions achieved with side and long reins respectively. In study III and IV six positions were evaluated with and without rider. The head and neck position influenced the back and limb kinematics significantly of the horse, especially at walk. The range of flexion-extension movement of the back and the stride length decreased when the neck was restrained in the high position. Even a low position restricted the movement of the back. The different head and neck positions also affected the curvature of the back. With a raised position of the neck the cranial part of the spine was extended while a low position caused a flexion of the spine. The unrestrained horse seems to rely more on the forelimbs for vertical support and use the hind limbs in a more horizontal direction. At walk the stride length and the movement of the pelvis increased, which can be useful for training purposes, while at trot the gait economy is likely improved with a free head and neck position. Extreme elevation of the head and neck caused the most dramatic kinematic changes. Working the horse in this position for a long period of time or at high intensity may therefore lead to transition from training effect to injury. Intervention on the head and neck position can markedly affect the movement pattern at walk, even if the rider’s hand is light enough to allow the horse a normal range of neck movement. At trot the movement pattern is less sensitive to differences in the position at which the head and neck is restrained, as long as not extreme, but the movements differ clearly between restrained positions and free position. The head and neck position also affected the limb kinematics, weight distribution between fore- and hind limbs and thereby the ground reaction forces.
Computationally Efficient Robust Adaptive Beamforming for Passive Sonar

Recent work has highlighted the benefits of exploiting robust Capon beamformer (RCB) techniques in passive sonar. Unfortunately, the computational requirements for computing the standard RCB weights are cubic in the number of adaptive degrees of freedom, which may be computationally prohibitive in practical situations. Here, we examine recent computationally efficient techniques for computing the RCB weights and evaluate their performances for passive sonar. We also discuss the implementation of these efficient algorithms on parallel architectures, such as graphics processing units (GPUs), illustrating that further significant speed-ups are possible over a central processing unit (CPU) based implementation. (Less)
A model of laminar-turbulent transition based on viscous stream buckling

The model of viscous streams’ buckling is used to determine values of the local Reynolds numbers, for which transition to turbulence begins. These values are then used to estimate the global critical Reynolds numbers. The method discussed in this work has been used to determine the critical values of the Reynolds number in some well-known flows, e. g. flow over a flat plate, circular pipe flow and free jets. The values thus found agree well with the known critical Re.
Mathematical modeling and computer aided planning of communal sewage networks

In the paper the basic questions connected with modeling of wastewater networks are presented. Methods of modeling basic sewage parameters and appropriate calculation algorithms are described. The problem concerns the gravitational networks divided by nodes into branches and sectors. The nodes are the points of connection of several network segments or branches or the points of changing network parameters as well as of location of sewage inflows to the network. The presented algorithms for networks hydraulic calculation concern sanitary or combined sewage nets. It is assumed that the segments parameters such as shape, canal dimension, bottom slope or roughness are constant. Because of these assumptions all relations considered concern the steady state conditions for the network. The calculation of flow velocities and the filling heights in the segments of the wastewater net are carried out for the known slopes and diameters of the canals.
Derivation of tropospheric NO3 profiles using off‐axis differential optical absorption spectroscopy measurements during sunrise and comparison with simulations

[1] Early morning vertical profiles of tropospheric NO3 were derived by spectroscopy of scattered sunlight in off-axis geometry during sunrise. The measurements were carried out in the urban area of Heidelberg, Germany (April, July, and August 1999). The retrieval algorithm is based on the nitrate radical's rapid photolysis during sunrise, radiative transfer, as well photochemical modeling. We derived NO3 near-ground concentrations of typically (0.2–18) × 107 cm−3, concentrations above 3 km of (5–50) × 107 cm−3, and a NO3 maximum at a height of ∼350 m with concentrations of (100–900) × 107 cm−3. Assuming the case of very high terpene levels even at higher altitudes, which is very unlikely for the atmospheric conditions during the measurements, we obtain a different mathematical solution of our inversion problem yielding the NO3 maximum at altitudes of ∼2.5 km. The enriched layer was found to hold the bulk of the tropospheric nighttime NO3. The retrieved profile confirms earlier suggestions that ground-level measurements may be significantly underestimating the oxidative capacity of the boundary layer under stable nocturnal conditions. The NO3 layer is probably formed as a result of the vertical profiles of the NO3 educts (NO2 and O3), with NO2 concentrations falling off more slowly with height than the NO3 scavengers, e.g., anthropogenic NO as well as volatile organic compounds emitted at ground level. Independently from these measurements model simulations with a comprehensive three-dimensional model system were performed for an area, which includes the measurement site. A pronounced maximum (3.3 × 109 cm−3) of the nocturnal NO3 concentration was found at ∼250 m above the surface, i.e., at the top of the nocturnal stable boundary layer. The average NO3 concentration close to the surface was 5 × 107 cm−3. The only significant difference between the observations and the model results was a steeper decrease of the NO3 concentration above the maximum of the observed profiles.
Neutral Molecules in Tokamak Edge Plasma - Role of Vibrationally Excited Hydrogen Molecules

The role of neutral molecules in edge plasma is discussed with special emphasis on the vibrationally excited hydrogen. Neutral molecules are formed mostly by surface processes on the walls and then released to the edge plasma where they take part in volumetric reactions with other particles. Typically these molecules are formed in excited states and data are needed for their reactions on the wall and in the volume. Processes in edge plasma determine particle and energy flux what is especially critical issue in tokamak divertor region. Various cross sections and reaction rates are needed for modelling edge plasma and its interaction with walls.
Bankruptcy Prediction of Turkish Commercial Banks Using Financial Ratios

In the last few years Turkey experienced a serious financial crisis. In the aftermath of this crisis, immediate economic effects of the crisis were felt almost in all areas of the business world, and several banks were taken over by the Savings Deposits Insurance Fund (SDIF). The main purpose of this research is to make a bankruptcy prediction of Turkish Commercial Banks using data compiled from the years 1997 and 1999. Logistic Regression was used to form a prediction model with financial ratios. 42 commercial banks were included in this research. Those which were taken over by the Savings Deposits Insurance Fund (SDIF) were determined as failed banks: 8, 3, and 7 in 1999, 2000, and 2001, respectively. Prediction models were created using 1997 – 1999 period data set and validated using 1999 - 2001 data set for prediction. It was observed that 80% of failed banks could be predicted two years a priori, and Logistic Regression can be used as a part of an “early warning” system. As is known, predicting bank failures reduces the losses incurred and helps avoid misallocation of resources.
A Study of the c-C3HD/c-C3H2 Ratio in Low-mass Star-forming Regions

We use the deuteration of c-C3H2 to probe the physical parameters of starless and protostellar cores, related to their evolutionary states, and compare it to the N2H+-deuteration in order to study possible differences between the deuteration of C- and N-bearing species. We observed the main species c-C3H2, the singly and doubly deuterated species c-C3HD and c-C3D2, as well as the isotopologue c-H13CC2H toward 10 starless cores and five protostars in the Taurus and Perseus complexes. We examined the correlation between the N(c-C3HD)/N(c-C3H2) ratio and the dust temperature along with the H2 column density and the CO depletion factor. The resulting N(c-C3HD)/N(c-C3H2) ratio is, within error bars, consistent with 10% in all starless cores with detected c-C3HD. This also accounts for the protostars except for the source HH211, where we measure a high deuteration level of 23%. The deuteration of N2H+ follows the same trend but is considerably higher in the dynamically evolved core L1544. We find no significant correlation between the deuteration of c-C3H2 and the CO depletion factor among the starless and protostellar cores. Toward the latter the coolest objects show the largest deuterium fraction in c-C3H2. We show that the deuteration of c-C3H2 can trace the early phases of star formation and is comparable to that of N2H+. However, the largest c-C3H2 deuteration level is found toward protostellar cores, suggesting that while c-C3H2 is mainly frozen onto dust grains in the central regions of starless cores, active deuteration is taking place on ice.
Power Quality improvement by using DSTATCOM in power distribution system fed BLDC motor

A Power quality problem is an occurrencemanifested as a nonstandard voltage, current or frequencythat results in a failure or a miss operation of end userequipment’s. Utility distribution networks, sensitiveindustrial loads and critical commercial operations sufferfrom various types of outages and service interruptionswhich can cost significant financial losses. With therestructuring of power systems and with shifting trendtowards distributed and dispersed generation, the issue ofpower quality. Utility distribution networks, sensitiveindustrial loads and critical commercial operations sufferfrom various types of outages and service interruptionswhich can cost significant financial losses. Distribution static compensator DSTATCOM) is ashunt compensation device that is generally used tosolve power quality problems in distribution systems. DSTATCOMforces load to operate always at rated power. Hence,customers need to pay for constant power continuously,whereas rated heating losses will take place in theequipments for entire operation. This concept proposes a hybrid control algorithm to maximize utilization and functionality of distribution staticcompensator (DSTATCOM). In this paper,implementing Power quality circuit with voltagesource converter in the BLDC Motor drive isdeveloped. The control of BLDC drive used is FieldOriented Control using pulse with Modulation. Thepower quality circuit proposed here improves thepower factor and reduces harmonic distortion.Simulation work is performed using MATLAB /SIMULINK environment.
IMS IS TO CERTIFY THAT Till'. THFSIS PREPARED UNDER MY SUPERVISION BY Jqnn

The present study is an examination of the effects of cerebral organization and mood on subjects' ratings of tachistoscopicatly presented facial stimuli. There were three presentation types; unilateral right, unilateral left, and bilateral presentation. Unilateral presentations consisted of one face to the right or to the left of center fixation. Bilateral presentations consisted of two faces presented simultaneously, one to the right and one to the left of center fixation. Subjects were asked to rate the extent to which they liked each face on a seven point scale. Predictions were based on a neuropsychological model of emotion (Heller 1990) in which dynamic patterns of cerebral activity result in various affective experiences. The hypotheses were that faces presented unilaterally would be rated differentially by visual field of presentation (i.e. faces presented on unilateral right trials would be rated as more positive than faces presented on unilateral left trials), whereas faces presented bilaterally would not be rated differentially by visual field of presentation. In addition, we examined the effects of mood state on subjects' ratings of the stimuli. We had no hypotheses as to what extent mood might affect subjects' ratings. Results were in the direction predicted for left hemisphere active males (as measured using the Levy Chimeric Faces Task). The importance of delineating the role of individual differences in characteristic hemispheric activation is discussed in the context of emotion research. Acknowledgements I would like to thank Elizabeth Jerrison-Terry tor her help in the early stages of this project and Don Hess for his trigonometric expertise. Thanks also to Art Kramer, the honors program director, for his helpful comments and advice. Finally, I would like to thank Wendy Heller for her support, encouragement, and assistance at every stage of this project. Cerebral Organization and Emotion iv Cerebral Organization and Emotion v Table of
OIL PRICE AND BANKRUPTCY PROBABILITY OF OIL AND GAS COMPANIES (STUDIES IN 3 ASIA-PACIFIC COUNTRIES)

The decline in oil prices is not only happen to oil prices in Indonesia, but also world oil prices. The world oil prices downturn has an impact on the world's oil and gas companies financial health. This study aims to provide empirical evidence about the effect of oil prices on the probability of bankruptcy in Indonesia, Singapore, and Australia. The probability of bankruptcy in this study is measured by Altman Z-Score, developed by Edward Altman (1968). The price of oil in this study is measured by the price of Brent crude. The sample was 20 manufacturing firms listed at Indonesia Stock Exchange (IDX), Australian Securities Exchange (ASX) and Singapore Exchange (SGX) during the period 2013-2015 selected through purposive sampling The results of this study indicate that by using simple regression model, oil prices significantly influence the probability of oil and gas companies in Indonesia, Singapore, and Australia. Keywords: Oil Price, Probability of Bankruptcy, Altman Z-Score, Purposive Sampling, Simple Regresion Model
Teachers’ Attitudes towards the Implementation of the National Standards in School-Based EFL Curriculum in South Sulawesi Primary Schools in Indonesia

This research signifies primary EFL teachers’ viewpoints on the implementation of the National Standards (NS) into their School-Based EFL Curriculum (KTSP) in primary schools in South Sulawesi Province in Indonesia, through interviews with eleven individuals. Teachers’ attitudes towards the NS varied. Most teachers expressed their fidelity to the NS, some preferring adaptation to their own specific contexts, and a few others to using other resources. Some teachers were critical about the inadequate time allocation for EFL teaching in classrooms, and a number of them relied on textbooks as their curriculum.
Common Drivers in Emerging Market Spreads and Commodity Prices

This paper presents and evaluates the hypothesis that emerging countries specialized in commodity production are prone to experience non orthogonal commercial and financial shocks. Specifically, we investigate a set of global macroeconomic variables that, in principle, could simultaneously determine in opposite direction commodity prices and bonds spreads in commodity-exporting emerging economies. Employing common factors techniques and pairwise correlation analysis we find a strong negative correlation between commodity prices and emerging market spreads. Moreover, the empirical FAVAR (Factor Augmented VAR) model developed to test our main hypothesis confirms that this negative association pattern is not only explained by the fact that commodity prices are one of the most relevant fundamentals of bond spreads of commodity exporters. In particular, we find that reductions in international interest rates and global risk appetite; rises in quantitative global liquidity measures and equity returns; and US dollar depreciations, tend to diminish spreads of emerging economies and strengthen commodity prices at the same time. These results are relevant in order to improve our knowledge regarding the reasons behind some typical characteristics of emerging commodity producers, such as their tendency to experience high levels of macroeconomic volatility and procyclicality, or their propensity to be affected from exchange rate overshooting, external crisis and sudden stops. Concerning policy lessons, a mayor conclusion is the complexity of the task of disentangle challenges coming from financial openness and structural considerations in emerging economies, such as the lack of diversification of the productive structure or the difficulties of a grow strategy solely based on natural recourses. It would be profitable to internalize the connection between these two key variables in formulating and conducting economic policy.
SUBJECTIVE PERCEPTION OF AN INDIVIDUAL WITHIN SOCIALISATION

This a pilot study where the study method “Autoidentification and Identification Method According to Oral Portrayals of Character”. Contemporary psychological studies show that a person’s behaviour in social context is not only simple consequences of the objective conditions having effect on him or her, it significantly depends on subjective perception and interpretation of the aggregate of external events, i.e., determination of situation carried out by an individual. Autoidentification method according to oral portrayals of character (Эйдемиллер, 1973) was used for diagnosing the personality and image of “I” accentuation types. The pilot study involved two groups of adolescents; one group included adolescents with deviant behaviour (n=60, 39 boys, 21 girl) but the second group included adolescents without actual behaviour disorders (n= 60, 35 boys, 25 girls). The study allowed determination of differences between the results presented by both groups with constituting grounds for performing further empiric study with a larger selection of study in the future.
Tracing the gas at redshift 1.7–3.5 with the Lyα forest: the FLO approach

We present FLO (From Lines to Overdensities), a new technique to reconstruct the hydrogen density field for the Lyα forest lines observed in high-resolution QSO spectra. The method is based on the hypothesis that the Lyα lines arise in the low to intermediate density intergalactic gas and that the Jeans length is the typical size of the Lyα absorbers. The reliability of FLO is tested against mock spectra obtained from cosmological simulations. The recovering algorithm gives satisfactory results in the range from the mean density to overdensities of ∼30 and reproduces correctly the correlation function of the density field and the 1D power spectrum on scales between ∼20 and 60 comoving Mpc. A sample of Lyα forests from 22 high-resolution QSO spectra is analysed, covering the redshift range 1.7 � z � 3.5. For each line of sight, we fit Voigt profiles to the lines of the Lyα forest, providing the largest, homogeneous sample of fitted Lyα lines ever studied. The line number density evolution with redshift follows a power-law relation: dn/dz = (166 ± 4) [(1 + z)/3.5] (2.8±0.2) (1σ errors). The two-point correlation function of lines shows a signal up to separations of ∼2 comoving Mpc; weak lines [logN (H i) < 13.8] also show a significant clustering but on smaller scales (r � 1.5 comoving Mpc). We estimate with FLO the hydrogen density field toward the 22 observed lines of sight. The redshift distribution of the average densities computed for each QSO is consistent with the cosmic mean hydrogen density in the analysed redshift range. The two-point correlation function and the 1D power spectrum of the δ field are estimated. They are both consistent with the analogous results computed from hydrosimulated spectra obtained in the framework of the concordance cosmological model. The correlation function shows clustering signal up to ∼4 comoving Mpc.
Deconvolution of ultrasonic nondestructive evaluation signals using higher-order statistics

In ultrasonic nondestructive evaluation (NDE) of materials, pulse echo measurements are masked by the characteristics of the measuring instruments, the propagation paths taken by the ultrasonic pulses, and are corrupted by additive noise. Deconvolution operation seeks to undo these masking effects and extract the defect impulse response which is essential for identification. We show that the use of higher-order statistics (HOS)-based deconvolution methods is more suitable to unravel the aforementioned effects. Synthetic and real ultrasonic data obtained from artificial defects is used to show the improved performance of the proposed technique over conventional ones, based on second-order statistics (SOS), commonly used in ultrasonic NDE.