Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Losartan in Complete Freund’s Adjuvant –Induced Arthritis in Rats

Rheumatoid arthritis (RA) is an autoimmune inflammatory disease characterized by joint infiltration and bone damage. The aim of the present study was to evaluate the beneficial effects of losartan in adjuvant-induced arthritis (AIA). Arthritis was induced in rats by subcutaneous injection of 0.2 mL of Complete Freund’s adjuvant (CFA) in the planter surface of the hind paw. Arthritic rats were allocated into three groups (n = 10), the first group (arthritis control), received 1% of tween 80, the second and the third groups received prednisolone (10 mg/kg/day; p.o) and losartan (20 mg/kg/day; p.o) respectively for two weeks. A fourth group (vehicle control) received 1% tween 80. At the end of the experiment, blood samples were collected for biochemical, oxidative stress, and hematological analysis. Histopathological and macroscopical examinations on joints were also performed. Our results revealed that losartan significantly reduced serum levels of tumor necrosis factor alpha (TNFα), interleukin-6 (IL-6) , rheumatoid factor (RF), and erythrocytes sedimentation rate (ESR). It significantly decreased serum malondialdehyde and increased blood glutathione . Losartan exhibited significant decrease in serum level of total cholesterol (TC), triglycerides (TG) and low density lipoprotein (LDL) coupled with marked increase in high density lipoprotein (HDL). Furthermore, losartan decreased white blood cell cells (WBC’s) count and increased red blood cells (RBC’s) , hemoglobin (Hb) , platelets, and hematocrit (Hct) counts. These findings were further supported by histopathological and macroscopical examinations. It could be concluded that losartan was able to repress biochemical, oxidative and hematological changes associated with AIA. These effects could be attributed to anti-arthritic, hypolipidemic, antioxidant and anti-anemic properties.
Effect of sputtering power on the structural and optical properties of RF magnetron sputtered ITO films

The structural and optical properties of RF magnetron sputtered ITO films without in situ substrate heating and post-deposition annealing are investigated. The structure and orientation of ITO films strongly depends on the energy of the sputtered particles arriving at the substrate. As the sputtering power increases from 15 to 100 W, the preferred orientation of the ITO film changes from (222) to (400). It is observed that the lattice constant of the film increases initially as sputtering power increases from 15 to 50 W and then decreases with further increase of sputtering power. The higher the sputtering power, the smaller the oxygen content of the film. The oxygen deficiency is used to explain the loss of transmittance or blackening of ITO films deposited at high sputtering power. Several material parameters, such as optical constants and energy gap, have been derived and discussed. The figure of merit of the films ranges from 81.3 to 117.6 Omega -1.
Indices to Assess the Integration of Renewable Energy Resources on Transmission Systems

The continuous increase on the penetration levels of Renewable Energy Sources (RESs) in power systems has led to radical changes on the design, operation, and control of the electrical network. This paper investigates the influence of these changes on the operation of a transmission network by developing a set of indices, spanning from power losses to GHG emissions reduction. These indices are attempting to quantify any impacts therefore providing a tool for assessing the RES penetration in transmission networks, mainly for isolated systems. These individual indices are assigned an analogous weight and are mingled to provide a single multiobjective index that performs a final evaluation. These indices are used to evaluate the impact of the integration of RES into the classic WSCC 3-machine, 9-bus transmission network.
Multiple timescale Continuous-time Coding with Spiking Neurons

Recent experimental work has suggested that the neural firing rate can be interpreted as a fractional derivative, at least when signal variation induces neural adaptation. Here, we show that the actual neural spike-train itself can be considered as the fractional derivative, provided that the neural signal is approximated by a sum of power-law kernels. Empirically, we find that the online approximation of signals with a sum of power-law kernels is beneficial for encoding signals with slowly varying components, like long-memory self-similar signals. For such signals, the online power-law kernel approximation typically required less than half the number of spikes for similar SNR as compared to sums of similar but exponentially decaying kernels. We also find that for encoding such signals, the optimal power-law exponent is similar to that reported for neural adaptation in several experiments. As power-law kernels can be accurately approximated using sums or cascades of weighted exponentials, we demonstrate that the corresponding decoding of spike-trains by a receiving neuron allows for natural and transparant temporal signal filtering by tuning the weights of the decoding kernel.
Henry Fayol and Frederick Winslow Taylor’s Contribution to Management Thought: An Overview

Henry Fayol and Frederick Winslow Taylor made outstanding contribution to development of management thought. Fayol wrote as a practical man of business reflecting on his long managerial career and setting drown the principles he had observed. He clearly specified the functions of management by a systematic analysis of management process. This isolation and analysis of management as a separate discipline was his original contribution to the body of management theory. He was father of management principles many of which have stood the test of time. Frederick W. Taylor was a pioneer who propounded principles of Scientific Management. Taylor worked in different capacities in steel industry saw the urgent necessity for elimination of wastages rampant in industrial organization. He observed that the only way to attract wastages and achieve efficiency to apply method of science to the field of management. They both applied scientific methods to the problems of management. Their work was essentially complementary; different in their approach was merely reflection of their different careers. If we call Taylor the “Father of Scientific Management”, it would be fair to describe Fayol as the “Father of Management”.
A Review and Analysis of the Article ‘An Evaluation of the Testing Effect with Third Grade Students’

This paper reviews and analysis the article in four stages. In the first stage, major approaches to educational research are briefly reviewed and the selected article is classified in these terms and the classification is justified. In the second stage, a concise synopsis of the aims, research design and major findings of the article are presented. In the third stage, the main strengths of the selected research as a contribution to policy, practice, knowledge or understanding are explained. And in the final stage, some ways in which the reported research in the selected article could have been improved are suggested, and any difficulties which might have been encountered in following these recommendations will be analysed.
The Photometric Investigation of V921 Her using the Lunar-based Ultraviolet Telescope of Chang'e-3 mission

The light curve of V921 Her in ultraviolet band observed by the Lunar-based Ultraviolet Telescope (LUT) is analyzed by the Wilson-Devinney code. Our solutions conclude that V921 Her is an early type marginal contact binary system with an additional close-in component. The binary system is under poor thermal contact with a temperature difference of nearly $700K$ between the two components. The close-in component contributes about $19\,\%$ of the total luminosity in the triple system. Combining the radial velocity study together with our photometric solutions, the mass of the primary star and secondary one are calculated to be $M_1 = 1.784(\pm0.055)M_\odot$, $M_2 = 0.403(\pm0.012)M_\odot$. The evolutionary scenario of V921 Her is discussed. All times of light minimum of V921 Her available in the bibliography are taken into account and the $O - C$ curve is analyzed for the first time. The most probable fitting results are discussed in the paper, which also confirm the existence of a third component ($P_3=10.2$ year) around the binary system. The period of V921 Her is also undergoing a continuously rapid increase at a rate of $dP/dt=+2.79\times{10^{-7}}day\cdot year^{-1}$, which may due to mass transfer from the less massive component to the more massive one.
High-pressure granulites of the Bohemian Massif: recent advances and open questions

The paper presents a summary of recent knowledge of high-pressure granulites of the Bohemian Massif, focusing mainly on the felsic ones with peak mineral assemblage garnet-kyanite-ternary feldspar-quartz. Evidence for formation of these rocks under high pressures and temperatures is presented. Established mineral assemblages, mineral reactions,major element zoning of garnet, P-T estimates e.o. are used to reconstruct P-T paths for the granulites. Results of U-Pb zircon dating and its interpretations are discussed. Synopsis of the published P-T paths, cooling and exhumation rates as well as their geotectonic interpretations are presented.
Convergence properties of functional estimates for discrete distributions

Suppose P is an arbitrary discrete distribution on acountable alphabet 𝒳. Given an i.i. d. sample (X1,…,Xn) drawnfrom P, we consider the problem of estimating the entropy H(P) or some other functional F=F(P) of the unknown distribution P. We show that, for additive functionals satisfying mild conditions (including the cases of the mean, the entropy, and mutual information), the plug‐in estimates of F are universally consistent. We also prove that, without further assumptions, no rate‐of‐convergence results can be obtained for any sequence of estimators. In the case of entropy estimation, under a variety of different assumptions, we get rate‐of‐convergence results for the plug‐in estimate and for a nonparametric estimator based on match‐lengths. The behavior of the variance and the expected error of the plug‐in estimate is shown to be in sharp contrast to the finite‐alphabet case. A number of other important examples of functionals are also treated in some detail. © 2001 John Wiley & Sons, Inc. Random Struct. Alg. , 19: 163–193, 2001
NUMERICAL AND EXPERIMENTAL DESCRIPTION OF THE FLOW, BOUNDARY LAYER AND BED EVOLUTION IN BORE-DRIVEN SWASH ON A COARSE SEDIMENT BEACH

The paper presents the results of a comparison between a fully coupled numerical model for the hydro- and morphodynamics of the swash zone. The model solves simultaneously the Non-Linear Shallow Water Equations and the Exner equation for the bed updates. The model uses the simple Grass formula for the sediment transport and the momentum integral method for the bottom shear stress prediction. The laboratory tests were carried out at the University of Aberdeen swash facility and aimed at studying the hydrodynamics and sediment transport of a single, bore-generated swash event. The comparison is carried out in terms of water depth and horizontal velocity (depth average and profiles) and sediment transport. The model performs well in predicting these quantities, above all during the run-up.
A LOW-COST ACOUSTIC ARRAY FOR DETECTING AND TRACKING MULTIPLE ACOUSTIC TARGETS

Case, Ellen E. M.S. Egr. , Department of Electrical Engineering, 2008. A Low-Cost Acoustic Array for Detecting and Tracking Multiple Acoustic Targets. A wide variety of real-world targets emit distinct acoustic signatures that not only distinguish them from one another but also provide spectral separation from background clutter. While acoustic signatures are distinct, they can also be highly variable, even for an individual target, making detection and tracking a challenging problem. This thesis presents a low-cost acoustic array using commercial off-the shelf (COTS) hardware to detect and track multiple small, moving, acoustic targets. It implements a cross-correlation method for calibration, delay-and-sum beamforming, CA-CFAR detection, a discrete Kalman filter for tracking, and nearest neighbor data association. In addition, the array is designed to be adaptable in use, mobile, and reproducible.
Resilient Entrepreneurship among European Higher Education Graduates

Resilience represents the ability of systems and individuals to adapt and overcome the difficulties and challenges they face. Resilient entrepreneurs are those who cope with stressful or adverse situations by relying on both internal and external factors. This article examines the way higher education graduates express entrepreneurial resilience in various national contexts. We analyze the Research into Employment and professional Flexibility (REFLEX) data set that provides information on early career of higher education graduates leaving education in the academic year 1999/2000 in 13 European countries. We study resilience in entrepreneurship by considering both how long higher education graduates succeed to remain in self-employment and the extent to which they re-entry in entrepreneurship after exiting. Survival analyses, logistic and cox regressions indicate important differences in patterns of starting, remaining and returning in self-employment and in factors influencing the retention in entrepreneurship among higher education graduates. It is argued that structural factors, personal characteristics and educational background explain a large amount of variation in resilient entrepreneurship.
AKARI near-infrared spectroscopy of the aromatic and aliphatic hydrocarbon emission features in the galactic superwind of M 82

Aims. We investigate the properties of hydrocarbon grains in the galactic superwind of M 82. Methods. With AKARI, we performed near-infrared (2.5 - 4.5 um) spectroscopic observations of 34 regions in M 82 including its northern and southern halos. Results. Many of the spectra show strong emission at 3.3 um due to polycyclic aromatic hydrocarbons (PAHs) and relatively weak features at 3.4 - 3.6 um due to aliphatic hydrocarbons. In particular, we clearly detect the PAH 3.3 um emission and the 3.4 - 3.6 um features in halo regions, which are located at a distance of 2 kpc away from the galactic center. We find that the ratios of the 3.4 - 3.6 um features to the 3.3 um feature intensity significantly increase with distance from the galactic center, while the ratios of the 3.3 um feature to the AKARI 7 um band intensity do not. Conclusions. Our results clearly confirm the presence of small PAHs even in a harsh environment of the halo of M 82. The results also reveal that the aliphatic hydrocarbons emitting the 3.4 - 3.6 um features are unusually abundant in the halo, suggesting that small carbonaceous grains are produced by shattering of larger grains in the galactic superwind.
Solving molecular crystal structures from laboratory X-ray powder diffraction data with DASH: the state of the art and challenges

The crystal structures of 35 molecular compounds have been redetermined from laboratory monochromatic capillary transmission X-ray powder diffraction data using the simulated-annealing approach embodied within the DASH structure solution package. The compounds represent industrially relevant areas (pharmaceuticals; metal coordination compounds; nonlinear optical materials; dyes) in which the research groups in this multi-centre study are active. The molecules were specifically selected to form a series within which the degree of structural complexity (i.e. degrees of freedom in the global optimization) increased systematically, the degrees of freedom increasing with increasing number of optimizable torsion angles in the structural model and with the inclusion of positional disorder or multiple fragments (counterions; crystallization solvent; Z′ > 1). At the lower end of the complexity scale, the structure was solved with excellent reproducibility and high accuracy. At the opposite end of the scale, the more complex search space offered a significant challenge to the global optimization procedure and it was demonstrated that the inclusion of modal torsional constraints, derived from the Cambridge Structural Database, offered significant benefits in terms of increasing the frequency of successful structure solution by restricting the magnitude of the search space in the global optimization.
Comparison of machine learning approaches on Arabic twitter sentiment analysis

With the dramatic expansion of information over internet, users around the world express their opinion daily on the social network such as Facebook and Twitter. Large corporations nowadays invest on analyzing these opinions in order to assess their products or services by knowing the people feedback toward such business. The process of knowing users’ opinions toward particular product or services whether positive or negative is called sentiment analysis. Arabic is one of the common languages that have been addressed regarding sentiment analysis. In the literature, several approaches have been proposed for Arabic sentiment analysis and most of these approaches are using machine learning techniques. Machine learning techniques are various and have different performances. Therefore, in this study, we try to identifying a simple, but workable approach for Arabic sentiment analysis on Twitter. Hence, this study aims to investigate the machine learning technique in terms of Arabic sentiment analysis on Twitter. Three techniques have been used including Naive Bayes, Decision Tree (DT) and Support Vector Machine (SVM). In addition, two simple sub-tasks pre-processing have been also used; Term Frequency-Inverse Document Frequency (TF-IDF) and Arabic stemming to get the heaviest weight term as the feature for tweet classification. TF-IDF aims to identify the most frequent words, whereas stemming aims to retrieve the stem of the word by removing the inflectional derivations. The dataset that has been used is Modern Arabic Corpus which consists of Arabic tweets. The performance of classification has been evaluated based on the information retrieval metrics precision, recall and f-measure. The experimental results have shown that DT has outperformed the other techniques by obtaining 78% of f-measure.
Effect of Transient Nicotine Load Shock on the Performance of Pseudomonas sp. HF-1 Bioaugmented Sequencing Batch Reactors

Bioaugmentation with degrading bacteria can improve the treatment of nicotine-containing tobacco industrial wastewater effectively. However, the transient and extremely high feeding of pollutants may compromise the effectiveness of the bioaugmented reactors. The effect of transient nicotine shock loads on the performance of Pseudomonas sp. HF-1 bioaugmented SBRs were studied. The results showed that, under 500–2500 mg/L of transient nicotine shocks, all the reactors still could realize 100% of nicotine degradation in 4 days of recovery, while the key nicotine degradation enzyme HSP hydroxylase increased in expression. Though the dramatic increase of activities of ROS, MDA, SOD, and CAT suggested that transient nicotine shock loads could induce oxidative stress on microorganisms in activated sludge, a decrease to control level demonstrated that most of the microorganisms could resist 500–1500 mg/L of transient nicotine shock under the protection from strain HF-1. After 8 cycles of recovery, high ROS level and low TOC removal in high transient shock reactors implied that 2000–2500 mg/L of transient nicotine shock was out of its recovery of strain HF-1 bioaugmented system. This study enriched our understanding on highly efficient nicotine-degrading strain bioaugmented system, which would be beneficial to tobacco waste or wastewater treatment in engineering.
A Different Single-Phase Hybrid Five-Level Voltage- Source Inverter Using DC-Voltage Modules

This paper presents another circuit configuration of single-phase hybrid five-level voltage-source inverter obtained from the H-bridge inverter and DC-voltage modules. Some features are achieved by using the proposed inverter configuration such as its modular structure and minimum number of the power devices required to construct the inverter circuits. The proposed five-level inverter circuit is examined through computer simulation using PSIM software. Furthermore, laboratory experimental tests were also performed to verify the prototype of the proposed five-level inverter circuits. The computer simulation and experimental test results shows that the proposed hybrid five-level voltage source inverter works properly to generate a five-level voltage waveform and sinusoidal current with low harmonics contents.
Applying learning algorithms to extract anxiety levels using the heart rate variability measure

The classification problems in biological measures have been studied since mathematical methods and statistical tools werecreated to determine difference between two distinct samples. In this paper we present a mathematical methodology capableof differing 29 non-clinical volunteers with distinct degrees of trait anxiety (high or low) according to the State and TraitAnxiety Inventory (STAI-T) using an electrocardiogram (ECG) data as starting point. Specifically, the wavelet transforms andits statistical measures were used to extract simple patterns from the resting ECG and classify the group as low or high traitanxiety. The Daubechies, Haar and Symlet mother function were used to filter the original ECG data. Then, by means ofthe Weka Learning Algorithm and using only 5 attributes (Pearson Coefficient from Haar and Symlet, Median from Haar andMode of Haar and Daubechies) we achieved a higher level of reliability, 96.90% ( p < .05), with low training percentages. Theresults showed the efficiency of this methodology to classify volunteers according to their anxiety levels through an ECG datacollection.