Miracle-dz/UniFAR-FTUs huggingface dataset:
THE IMPACT OF STRATEGIC HUMAN RESOURCE MANAGEMENT ON ORGANIZATIONAL PERFORMANCE

The main purpose of this paper is to study the effect of Human Resource Management Strategy on Organizational Performance in Tehran Stock Exchange Market. To assess this, a model with 6 latent variables has been presented in which each of the variables has been measured by other indicators. To measure the indicators of the model, a questionnaire was prepared and distributed among 84 Human Resource Management Departments of firms on Tehran Stock Exchange. The model was examined using PLS Path Modeling Technique. According to the results, Human Resource Strategy leads to human resource effectiveness because of enriching organizational performance.
Global strong solution for the incompressible flow of liquid crystals with vacuum in dimension two

This paper is devoted to the study of the initial-boundary value problem for density-dependent incompressible nematic liquid crystal flows with vacuum in a bounded smooth domain of \begin{document}$\mathbb{R}^2$\end{document} . The system consists of the Navier-Stokes equations, describing the evolution of an incompressible viscous fluid, coupled with various kinematic transport equations for the molecular orientations. Assuming the initial data are sufficiently regular and satisfy a natural compatibility condition, the existence and uniqueness are established for the global strong solution if the initial data are small. We make use of a critical Sobolev inequality of logarithmic type to improve the regularity of the solution. Our result relaxes the assumption in all previous work that the initial density needs to be bounded away from zero.
Impacts of Climate Change on Rainfall Erosivity in the Huai Luang Watershed, Thailand

This study focuses on the impacts of climate change on rainfall erosivity in the Huai Luang watershed, Thailand. The multivariate climate models (IPCC AR5) consisting of CCSM4, CSIRO-MK3.6. 0 and MRI-CGCM3 under RCP4.5 and RCP8.5 emission scenarios are analyzed. The Quantile mapping method is used as a downscaling technique to generate future precipitation scenarios which enable the estimation of future rainfall erosivity under possible changes in climatic conditions. The relationship between monthly precipitation and rainfall erosivity is used to estimate monthly rainfall erosivity under future climate scenarios. The assessment compared values of rainfall erosivity during 1982–2005 with future timescales (i.e., the 2030s, 2050s, 2070s and 2090s). The results indicate that the average of each General Circulation Model (GCM) combination shows a rise in the average annual rainfall erosivity for all four future time scales, as compared to the baseline of 8302 MJ mm ha−1 h−1 year−1, by 12% in 2030s, 24% in 2050s, 43% in 2070s and 41% in 2090s. The magnitude of change varies, depending on the GCMs (CCSM4, CSIRO-MK3.6.0, and MRI-CGCM3) and RCPs with the largest change being 82.6% (15,159 MJ mm ha−1 h−1 year−1) occurring under the MRI-CGCM3 RCP8.5 scenario in 2090s. A decrease in rainfall erosivity has been found, in comparison to the baseline by 2.3% (8114 MJ mm ha−1 h−1 year−1) for the CCSM4 RCP4.5 scenario in 2030s and 2.6% (8088 MJ mm ha−1 h−1 year−1) for the 2050s period. However, this could be considered uncertain for future rainfall erosivity estimation due to different GCMs. The results of this study are expected to help development planners and decision makers while planning and implementing suitable soil erosion and deposition control plans to adapt climate change in the Huai Luang watershed.
The removal of toxic metals from liquid effluents by ion exchange resins. Part XV: Iron(II)/H+/Lewatit TP208

Iron(II) was removed from aqueous solutions by the use of the cationic ion exchange resin Lewatit TP208 (Na+ form). The influence of different experimental variables was investigated on the ion exchange process: stirring speed, temperature, pH of the solution and resin dosage. At stirring speeds included in the 300-1200 min-1, iron(II) uptake onto the resin fitted well to the film-diffusion model, whereas the increase of the temperature, from 20 to 60 oC, was accompanied by an increase in the metal loaded onto the resin, thus, resulting in an endothermic ion exchange process. This ion exchange process was influenced by the variation of the pH of the solution: there was a decrease in metal uptake when the pH of the solution was shifted towards more acidic values. Also the ion exchange process was sensitive towards the variation of Lewatit TP208 resin dosage, being the process associated to the Freundlich isotherm model. This variation in the resin dosage had also an influence in the fitting of the experimental data, at various resin dosages, with the kinetics model associated to them. At the highest resin dosage (1 g·L-1) the exchange process fitted well (r2= 0.999) to the pseudo-second order model, however, at the lowest resin dosage (0.13 g·L-1), the process fitted (r2= 0.997) the first-order model. Metal uptake was compared with that yielded with other cation-exchange resins and also against the use of multiwalled carbon nanotubes. Iron(II) loaded onto the resin was eluted using acidic solutions.
Form factors in the massless coset models su ( 2 ) k + 1 ⊗ su ( 2 ) k / su ( 2 ) 2 k + 1 Part II

Massless flows from the coset model su(2)k+1 ⊗ su(2)k/su(2)2k+1 to the minimal model Mk+2 are studied from the viewpoint of form factors. These flows include in particular the flow from the Tricritical Ising model to the Ising model. By analogy with the magnetization operator in the flow TIM → IM, we construct all form factors of an operator that flows to Φ1,2 in the IR. We make a numerical estimation of the difference of conformal weights between the UV and the IR thanks to the ∆-sum rule; the results are consistent with the conformal weight of the operator Φ2,2 in the UV. By analogy with the energy operator in the flow TIM → IM, we construct all form factors of an operator that flows to Φ2,1. We propose to identify the operator in the UV with σ1Φ1,2. PACS: 11.10. -z 11.10. Kk 11.55. Ds grinza@lpm.univ-montp2.fr benedicte.ponsot@anu.edu. au
Compensating Q effects in viscoelastic media by adjoint-based least-squares reverse-time migration

Low values of P and S wave quality factors Qp and Qs result in strong intrinsic seismic attenuation in both seismic modeling and imaging. We use a linearized waveform inversion approach, by generalizing least-squares reverse-time migration (LSRTM) for viscoelastic media (Q-LSRTM), to compensate the attenuation loss for both P and S images.We use the first-order particle velocity, stress, and memory variable equations, with explicit Q in the formulations, based on the generalized standard linear solid (GSLS), as the forward modeling operator. The linearized two-way viscoelastic modeling operator is obtained with modulus perturbations introduced for the relaxed P and S moduli. The viscoelastic adjoint operator, and the P and S imaging conditions for modulus perturbations are derived using the adjoint-state method and an augmented Lagrangian functional. Q-LSRTM solves the viscoelastic linearized modeling operator for generating synthetic data, and the adjoint operator is used for back propagating the data re.
ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI – FASCICLE

In the last years, the synthetic cannabinoids have become popular recreational drugs of abuse because of their psychoactive properties. It is known that some JWH synthetic cannabinoids are even more toxic than their natural counterpart, i.e. cannabis (tetrahydrocannabinol, THC). For this reason, their acute toxic effects may even lead to death under certain circumstances. The aim of the research presented in this paper was to compute different toxicity measures for some of the newest JWH synthetic cannabinoids, by using dedicated software packages. The same toxicity measures have also been determined for THC, which was chosen as standard compound. For this purpose, the geometries of the molecules have been optimized by using the AM1 semiempirical quantum method. The results of a comparative analysis of toxicities of synthetic and natural cannabinoids are presented.
ANNALS OF “DUNAREA DE JOS” UNIVERSITY OF GALATI – FASCICLE

This paper aims to provide a sound estimation of the true value and proportion of white matter (WM), gray matter (GM), and cerebrospinal fluid (CSF) of the brain DTI images for a proper 3D volume reconstruction. During the pre-processing stage, two nonlinear filters are operated, i.e. bilateral and anisotropic diffusion. The segmentation of each brain tissue is performed using the k-means clustering algorithm. To minimize filters bias and for obtaining the best reproducible results, a statistical analysis has been performed. Thus, the skewness and kurtosis statistics features were computed for each segmented brain tissue and filter. The fuzzy k-means method allows for clustering analysis and the Bland-Altman analysis investigates the agreement between two filtering techniques of the same statistics feature and brain tissue. Then the 3D reconstruction method is presented using ImageJ and the image stacks for raw and processed data. We conclude that anisotropic diffusion filter offers the best results and 3D reconstruction of brain tissues is feasible.
Absolute test using the conjugate differential method

The conjugate differential method has been applied to the absolute test of flat, cylindrical, and axicon surfaces. In the previous work, simulations and correspond experiments have been carried out to verify the feasibility of the method. To analyze the influences of different factors upon the measurement result, the conjugate differential method is discussed in detail. Considering the characteristics of the test surface such as surface types and surface profiles, the application ranges of the conjugate differential method are discussed into three parts. According to the three surface types using the conjugate differential method, the method can be extended to the absolute test of the spherical surfaces based on spherical coordinate system. The reconstructed errors caused by different aberrations expressed as Zernike polynomial terms show that they are more sensitive to high order aberration terms of the surface under test. And for surfaces with different frequency distributions, the surface with less mid-spatial frequency information is less sensitive to the sampling frequency. The influence from the other factors in interferometric test are also discussed into three parts. The influences from the uncertainty of shifts are correlated with the increased aperture diameters, since the integration error caused by the shift error increases gradually with the expanding of the integration path. The integration error changes by the influences from the coherent noise and pixel noise related to pixel deviations. The reconstructed deviations get increased while the peak pixel deviation is increasing. For the balance of the differential deviation and integration error, the optimization of sampling resolution should take considered for accuracy improvement.
Biodegradation of petroleum hydrocarbons by psychrotrophic Pseudomonas strains possessing both alkane (alk) and naphthalene (nah) catabolic pathways

Three hydrocarbon-degrading psychrotrophic bacteria were isolated from petroleum-contaminated Arctic soils and characterized. Two of the strains, identified as Pseudomonas spp. , degraded C5 to C12 n-alkanes, toluene, and naphthalene at both 5 and 25 degrees C and possessed both the alk catabolic pathway for alkane biodegradation and the nah catabolic pathway for polynuclear aromatic hydrocarbon biodegradation. One of these strains contained both a plasmid slightly smaller than the P. oleovorans OCT plasmid, which hybridized to an alkB gene probe, and a NAH plasmid similar to NAH7, demonstrating that both catabolic pathways, located on separate plasmids, can naturally coexist in the same bacterium.
Invariant solutions for nonlinear models of illiquid markets

A general nonlinear model of illiquid markets with feedback effects is considered. This equation with 2 free functional parameters contains as partial cases the classical Black‐Scholes equation, Schönbucher‐Wilmott equation, and Sircar‐Papanicolaou equation of option pricing. We obtain here the complete group classification of the equation, and for every parameters specification we obtain the principal Lie algebra and its optimal system of 1‐dimensional subalgerbras. For every such subalgebra we calculate the invariant submodel and invariant solution, when it is possible. Thus, the series of invariant submodels and invariant solutions are derived for the considered nonlinear model.
Fracture Propagation Behavior of Jointed Rocks in Hydraulic Fracturing

Jointed rocks are typical examples of heterogeneous materials with joints. The existence of joints influences the physical properties of rock mass and propagation of fractures, which can affect production operations in engineering. A series of simulations is performed to understand the failure patterns and fracture propagation behavior of jointed rocks in hydraulic fracturing. Three points, that is, dip-angle joint, joint strength, and complex joints, are considered in the simulations. Results demonstrate three basic kinds of hydraulic fractures on jointed rock, namely, along the joint, across the joint, and partly along the joint and partly across the joint. The maximum principal stress is the control factor of fracture propagation in global scale, and the joint plane is the control factor of fracture propagation in local scale. In the propagation path, when the dip angle is small or the joint is weak, the fracture propagates along the joint; otherwise, the fracture propagates across the joint. In the multijoint interconnection models, hydraulic fractures propagate along joints in the tensile stress regions near the propagating fracture tip without dip angle limitation. Subsequently, the fractures connect with one another to form a complex fracture network based on the joint morphology.
Pinisi Discretion Review

One example of a franchise that has increased in a number of outlets is fast-food restaurants or often called fast food. The purpose of this study was to determine the effect of price and product quality on customer satisfaction on Giant Fried Chicken Citra Raya. The research method uses quantitative with a population of 22,577 customers, the determination of the sample using the Slovin formula with an error rate of 10% obtained 100 respondents. Data collection methods using primary data and secondary data. Test the instrument using the validity and reliability test, the prerequisite data test uses the normality test, autocorrelation test, multicollinearity test, and heteroscedasticity test, while the statistical test uses multiple regression equations, correlation coefficient test, coefficient of determination test and significance test. The results show that the price and quality of the product have a positive effect on consumer satisfaction with a regression equation Y = 19.846 + 0.329X1 + 0.312X2 + e. The better the price determination and the higher the quality of the product, the more it will increase customer satisfaction. Vice versa, if the price and quality of products are low, customer satisfaction will also decrease. The simultaneous contribution of price and product quality is 40.8% while the remaining 59.2% is influenced by other factors. the calculated F value is greater than the F table or (9669> 3.090), it is also reinforced by the significance of 0,000 <0.05. Thus H0 is rejected and H1 is accepted. This means that there is a positive and significant effect simultaneously between price and product quality on customer satisfaction on Giant Fried Chicken Citra Raya.
Computationally efficient model predictive control for a class of linear parameter‐varying systems

The use of linear parameter varying (LPV) prediction models has been proven to be an effective solution to develop model predictive control (MPC) algorithms for linear and non-linear systems. However, the computational effort is a crucial issue for LPV-MPC, which has severely limited its application especially in embedded control. Indeed, for dynamical systems of dimension commonly found in embedded applications, the time needed to form the quadratic programming (QP) problem at each time step, can be substantially higher than the average time to solve it, making the approach infeasible in many control boards. This study presents an algorithm that drastically reduces this computational complexity for a particular class of LPV systems. They show that when the input matrix is right-invertible, the rebuild phase of the QP problem can be accelerated by means of a coordinate transformation which approximates the original formulation. Then they introduce a variant of the algorithm, able to further reduce this time, at the cost of a slightly increased sub-optimality. The presented results on vehicle dynamics and electrical motor control confirm the effectiveness of the two novel methods, especially in those applications where computational load is a key indicator for success.
Reconstruction 3D en tomographie à rayons X à l'aide d'un modèle a priori hiérarchique utilisant la transformation de Haar

Dans cet article, on considere le probleme de reconstruction en tomographie 3D a rayons X en utilisant une approche bayesienne avec un modele a priori hierarchique (HHBM: Haar based Hierarchical Bayesian Method). La loi de Student generalisee est utilisee pour imposer la structure parcimonieuse des coefficients de la transformation multi-niveaux de Haar sur le volume. Des comparaisons avec l'etat de l'art sont presentees, montrant que la methode proposee donne des resultats de reconstruction plus precis et une convergence plus rapide. Des resultats de simulation sont egalement fournis pour montrer l'efficacite du modele propose pour une reconstruction avec un nombre limite de projections.
Accuracy of predictive equations for resting energy expenditure estimation in mechanically ventilated Thai patients

Abstract Background: Indirect calorimetry (IC) is the most precise approach for estimating calorie demand in critically ill patients. Despite this, owing to unaffordable devices, it is rarely used in practice. Predictive equations are the alternatives. Objectives: To assess the accuracy of 14 predictive resting energy expenditure(REE) equations in ventilated Thai patients. Methods: We compared the accuracy and agreement of 14 equations. The equations included the American College of Chest Physicians(ACCP) equation, Harris–Benedict equation(HBE), 1.2×HBE, 1.5×HBE, Mifflin–St. Jeor(MSJ), Ireton-Jones 1992 and 2002, Penn State 2003(HBE and MSJ) and 2010, Swinamer 1990, Faisy, Brandi 1999, and 25 kcal/kg equation. An equation was ascertained as accurate if the calculated values fell within ±10% of the measured REEs. Spearman correlation coefficient, Bland–Altman method, and intraclass correlation coefficient were used to analysis. Results: We obtained data from 24 ventilated patients undergoing REE measurement by IC. Fifty percent of them were male with a median age of 64.5 years, a median height of 160 cm, and a median body mass index of 22.95 kg/m2. The predictive precision of all equations was poor, with largely different accuracies from 6.7% to 48.1%. The most reliable equation was Penn State 2010. The ACCP, HBE, MSJ, and Penn State 2003(HBE) tended to underestimate calorie need. Contrastingly, the other equations tended to overestimate REEs. Despite a moderate degree of correlations, the Bland–Altman plots demonstrated clinically unacceptable discrepancies between measured REE and REE calculated by each equation. Conclusions: In ventilated Thai patients, there were no precise equations for determining REE.
Dynamic Response and Stability Analysis with Newton Harmonic Balance Method for Nonlinear Oscillating Dielectric Elastomer Balloons

Subject to various pressure and voltage values, the deformation of a hyperelastic dielectric elastomer membrane may attain different stable and unstable equilibria. In this paper, the neo-Hookean material model is adopted to describe the hyperelastic behavior of a dielectric elastomer membrane. The effects of initial stretch ratio, pressure and voltage on the nonlinear free vibration of a spherical dielectric elastomer balloon are investigated qualitatively and quantitatively. Through a linear stability analysis of the equilibrium states, the safe regime of initial stretch ratio for the deformation of dielectric elastomer balloon is confined. Under specific static driving pressure and voltage, the system oscillates about the stable equilibrium and there is no oscillation in the neighborhood of the unstable equilibrium. Besides, the critical pressure and voltage values are determined. Beyond the critical values, there is no periodic oscillation. Along with the stability analysis, complex dynamical behavior such as drastic change of output regime, sporadic instability and sudden bifurcations can be predicted. By applying the Newton Harmonic Balance (NHB) method for quantitative analysis, the frequency response can be readily predicted. It is found that the nonlinear free vibration frequency decreases with increasing initial stretch ratio and control parameters (pressure and voltage).
Quasi-exactly solvable polynomial extensions of the quantum harmonic oscillator

The (analytic) sextic oscillator is often considered as the prototype of quasi-exactly solvable (QES) Schrödinger equations, i.e., those Schrödinger equations for which at some ad hoc couplings a finite number of eigenstates can be found explicitly by algebraic means, while the remaining ones remain unknown. Recently, a (non-analytic) QES symmetrized quartic oscillator was introduced and shown to complete the list of (analytic) QES anharmonic oscillators, which does not contain any quartic one. Here we prove that such a quartic oscillator is amenable to an sl(2, ℝ) description. Furthermore, we generalize it to a symmetrized sextic oscillator. The latter is obtained by parting the real line into two subintervals ℝ− and ℝ+ on which the corresponding Schrödinger equations are solved by using the functional Bethe ansatz method, and the resulting wavefunctions and their first derivatives are matched at x = 0. Two categories of QES potentials are obtained: the first one containing the well-known analytic sextic potentials as a subset, and the second one of novel potentials with no counterpart in such a class.
Uniform estimates and uniqueness of stationary solutions to the drift–diffusion model for semiconductors

ABSTRACT We study the stationary problem of the drift–diffusion model with a mixed boundary condition. For this problem, the existence of solutions was established in general settings, while the uniqueness was investigated only in some special cases which do not entirely cover situations that semiconductor devices are used in integrated circuits. In this paper, we prove the uniqueness in a physically relevant situation. The key to the proof is to derive two-sided uniform estimates for the densities of the electron and hole. We establish a new technique to show the lower bound. This together with the Moser iteration method leads to the upper bound.