Miracle-dz/UniFAR-FTUs huggingface dataset:
Characteristics of a new Class of Transport related MHD Modes in JET H-mode Plasmas

A new type of magnetohydrodynamic (MHD) mode, provisionally termed the wash board (WB) mode, has been observed during H-mode plasmas in JET. It occurs in all types of H-mode discharges, but is not seen during L-mode even at high values of . The WB mode appears to be linked with saturation in the plasma confinement and central plasma temperatures. These modes have high m and n numbers and are localized in the outer part of the plasma, typically from the q = 2 surface to the plasma edge. They rotate with the electron diamagnetic frequency and have a strong ballooning character. There is a good correlation between increasing plasma pressure and the growth of both the spectral extent and amplitude of the WB modes. Changes in the electron temperature profile also correlate well with changes in the amplitude of these modes. They are, therefore, regarded as a possible candidate to play a role in the confinement degradation of H-mode plasmas. Although these modes appear in all types of H-modes in JET, most of the analysis has been carried out during the hot-ion H-mode period of the 100% T discharges, since these modes are practically the only MHD activity left and the small-scale density fluctuations can, therefore, be analysed.
Mean-Variance-Skewness Portfolio Selection Model Based on RBF-GA

The classical Markowitz’s mean-variance model in modern investment science uses variance as risk measure while it ignores the asymmetry of the return distribution. This article introduces skewness, V-type transaction costs, cardinality constraint and initial investment proportion, and builds a new class of nonlinear multi-objective portfolio model (mean-variance-skewness portfolio selection model). To solve the model, we develop a genetic algorithm(GA) which contains radial basis function(RBF) neural network, called RBF-GA. The experimental results show that the proposed model is more effective and more realistic than others.
Antiproliferative Properties of Leaf Extract of Hopea ponga (Dennst.) Mabberly

OBJECTIVE: The present study aimed to evaluate the antiproliferative properties of hydroalchoholic extract of Hopea ponga leaves. METHODS: The antiproliferative capacity of extract was assessed by employing different assays such as by brine shrimp lethality assay, MTT assay and trypan blue assay in HeLa cells. Results were compared with standard vincristine. RESULTS: In vitro antiproliferative study of the hydroalcoholic extract of H.ponga was evaluated by brine shrimp lethality assay, MTT assay and trypan blue assay in HeLa cells. The results indicated that the hydroalcoholic extract of H. ponga possessed good antiproliferative property when compared to the standard drug vincristine. CONCLUSION: The result suggests that the hydroalochoholic extracts of H. ponga plays an important role in antiproliferative activity.The activity may be due to the presence of flavonoids. It is further suggested that in vivo studies and characterisation of fractionated extracts May be conducted in this extract, to establish its effect. Hopea ponga ( Dennst.)Mabberly. H. ponga has been used as a source of timbre for construction and agricultural implements shows its potential as being used as antiproliferative, anti-inflammatory and antioxidant, so it can be concluded that this species should be conserved and explored further.
Numerical simulations of the local generation of internal solitary waves in the Bay of Biscay

Abstract. Oceanic observations from the Bay of Biscay, Portugal, Mozambique Channel and Mascarene Ridge have provided evidence of the generation of internal solitary waves due to an internal tidal beam impinging on the thermocline from below – a process referred to as "local generation". Here we present two-dimensional numerical simulations with a fully nonlinear nonhydrostatic model of situations that are relevant for the Bay of Biscay in summer. We show that a beam impinging on a thermocline initially at rest can induce a displacement of the isopycnals, large enough for internal solitary waves to be generated. These internal solitary waves however differ from those observed in the Bay of Biscay through their amplitude and distance between wave trains. We then show that the latter feature is recovered when the background flow around the thermocline as found in the Bay of Biscay is included in the forcing, thereby yielding a more accurate view on the local generation mechanism.
Workforce Factors and Banking Performance

This paper examined the workforce factors to predict Indonesian banking performance measured by per employee metrics. Using purposive sampling, 31 banks listed on Indonesia Stock Exchange (IDX) in 2012 were utilized. Five workforce factors were employed as independent variables and banking performance as dependent variable was measured using revenue per employee and market capitalization per employee. Data needed to measure the five workforce factors as well as revenue are available in the annual reports. However, market capitalization data are available in the IDX statistics. Five hypotheses were tested using multiple regression analysis. The authors concluded on two things. Firstly, the larger the number of employees, the worsen revenue per employee and market capitalization per employee. Secondly, higher remuneration for directors and commissioners induced better performance, as measured by the two indicators. This study is limited in so far as it considers banking companies listed on IDX only and conducted for only one financial year. However, the result could give better understanding of performance and its drivers and lead to managerial practices that can improve banking performance. This study also provides relevant information to scholars, policy makers, investors, and other stakeholders as a basic reference and guide to analyze the banking performance.
The Effect of Higher Education Brand Images on Satisfaction and Lifetime Value from Students’ Viewpoint

Abstract This study examined the relationship between the brand image students have of their colleges and their satisfaction and lifetime customer value. Institutes of higher education can use the results of the analysis to make improvements, correct weaknesses and make policies. The research framework was based on literature review and relevant research variables. The subjects were college students in Taiwan. Questionnaires were administered and a total of 270 valid samples were collected. Data analysis using structural equation models (SEM) and Multigroup Analysis showed that brand image affected customer satisfaction, and subsequently affected customer lifetime value. Customer satisfaction was also a partial mediating variable between brand image and customer lifetime value.
Bayesian nonparametric estimation and asymptotics with misspecified density models

In this paper we summarize some recent findings concerning Bayesian misspecified density models. We first discuss a prior summability condition for the posterior to accumulate around the densities in the model closest in the Kullback– Leibler sense to the data generating density. This condition is shown to be satisfied by popular nonparametric priors such as infinite mixtures of normal densities and Gaussian process priors. In smooth parametric models, the posterior shrinks at a √ n-rate of convergence around the parameter value minimizing the Kulback– Leibler divergence. In this setting we show how Gaussian process priors can be used to consistently estimate the discrepancy of the parametric model from the data generating density. A novel Monte Carlo Markov Chain methods is devised for dealing with intractable normalizing constants. Abstract In questo lavoro verranno richiamati alcuni recenti risultati sulla stima Bayesiana per modelli di densità mal specificati. Si discuterà una condizione di sommabilità sulla distribuzione a priori sufficiente a garantire che la massa di probabilità a posteriori si concentri attorno a densità vicine, rispetto alla divergenza di Kullback-Leibler, a quella che genera i dati . Tale condizione è soddisfatta da ben note distribuzioni a priori non parametriche quali misture infinite di densità normali e processi Gaussiani. Nel caso di modelli parametrici che soddisfano opportune ipotesi di differenziabilià, la distribuzione a posteriori converge al tasso √ n attorno al valore del parametro che minimizza la divergenza di Kullback-Leibler. In questo contesto si mostrerà come usare processi Gaussiani per stimare la discrepanza del modello parametrico dalla densità che genera i dati.
Distribution and Diversity of Freshwater Fishes in Aami River, Gorakhpur, India

The fish diversity of the Aami River in relation to physicochemical parameters was studied by monthly samples taken from January 2011 to August 2012. The water of the River is used for industry, fishery and local area people. Cast net were used for fish sampling, which was done from 9:00 AM to 5:00 PM. The results of present investigation reveal the occurrence of 18 fish species belonging to 6 order, 11 family and 17genera. Among the collected species, order Cypriniformes was the most abundant in all sites besides this order Beloniformes, Mastacembelida, Symbranchiformes, Perciformes, Centropomidae, Amphipnoidae, Ophiocephalaidae, Clupeidae, Sisoridae, Clariidae, Bagridae, Saccobrachidae also were present but its number is very less in all sites. Over fishing, industrial, chemical, agricultural runoff and other form of pollution are the most important which should be restricted for the conservation of freshwater fish diversity. Therefore, it may be concluded that preparation of zone wise database of these information and their implementation through government and non-government organization would be the key tools for conservation of freshwater fish biodiversity.
Effect of fuel content on structural and magnetic properties of solution combusted Mn 0 . 8 Zn 0 . 2 Fe 2 O 4 powders

Single phase Mn0.8Zn0. 2Fe2O4 powders were synthesized by solution combustion method. The solution combustion method relies on the exothermic self-sustained reactions in reactive solution containing of oxidizers and organic fuels. In this work, the effects of various amounts of glycine as fuel on the powder characteristics were investigated. The structure, cation distribution, microstructure and magnetic properties were characterized by X-ray diffraction, electron microscopy and vibrating sample magnetometry techniques. The cation distributions determined by Bertaut method in which the observed reflection intensities compared with the calculated ones for supposed crystal structures. The Mn0.8Zn0. 2Fe2O4 exhibited partially inverse structure in which Zn preferentially occupied tetrahedral (A) sites. The ascombusted Mn0.8Zn0. 2Fe2O4 powders showed spongy structure due to the liberation a large amount of gaseous products. However, the porosity decrease with the increase of fuel content due to the increase of adiabatic combustion temperature. The saturation magnetization of the as-combusted Mn0.8Zn0. 2Fe2O4 powders increased from 43 to 69 emu/g with the increase of f from 0.5 to 1 and then slightly decreases to 67 emu/g for f=1.5. The highest saturation magnetization (69 emu/g) for f=1 was attributed to the highest crystallite size and crystallinity. The coercivity also increased from 27 to 67 Oe with fuel content.
The effect of seed size on yield and yield components of chickpea and lentil

This study was carried out in order to determine the effect of seed size on the yield and yield components of chickpea and lentil. Two field experiments, composed of three chickpea (Cicer arietinum L.) varieties, four lentil (Lens culinaris Medik.) and two seed sizes, were conducted in southeastern Anatolia, Turkey in 2005 and 2006 in randomized complete block designs. The seeds of the three grading sizes used in this study were evaluated for yield and its components in chickpea and lentil. For chickpea, effect of seed size on yield and 100 seed weight were significant, but no difference in seed size affects other yield components, and correlations between seed size and seed yield and 100 seed weight were positive. For lentil, effect of seed size on yield and yield components was not significant.
Technical note: Pitfalls in using log-transformed flows within the KGE criterion

Abstract. Log-transformed discharge is often used to calculate performance criteria to better focus on low flows. This prior transformation limits the heteroscedasticity of model residuals and was largely applied in criteria based on squared residuals, like the Nash–Sutcliffe efficiency (NSE). In the recent years, NSE has been shown to have mathematical limitations and the Kling–Gupta efficiency (KGE) was proposed as an alternative to provide more balance between the expected qualities of a model (namely representing the water balance, flow variability and correlation). As in the case of NSE, several authors used the KGE criterion (or its improved version KGE′) with a prior logarithmic transformation on flows. However, we show that the use of this transformation is not adapted to the case of the KGE (or KGE′) criterion and may lead to several numerical issues, potentially resulting in a biased evaluation of model performance. We present the theoretical underpinning aspects of these issues and concrete modelling examples, showing that KGE′ computed on log-transformed flows should be avoided. Alternatives are discussed.
Combustion of Gaseous Alternative Fuels in Compression Ignition Engines

The problem of alternative fuels for combustion engines has been growing in im‐ portance recently. This is connected not only with decreasing fossil fuel resources, but also with the growing concern for the natural environment and the fight against global warming. This paper discusses the possibility of utilizing alternative gaseous fuels in compression-ignition engines, using dual-fuel, gas-liquid operation strat‐ egy. Current state of the art of this technology had been introduced, along with its benefits and challenges to be countered. The discussion had been supported by au‐ thors own research experience on dual-fuel engines. The latest results of research on the impact of gas composition on combustion process in the Common Rail dual fuel engine had been presented, at the same illustrating the environmental benefits of using gaseous fuels. The Utilization of gaseous fuels with varying composition was illustrated systematically, starting with natural gas. The possibility of using fuels with lower content of methane (the so-called low-calorie gases) was shown by the impact of depleting natural gas with carbon dioxide. Industrial gases, such as syn‐ gas contain a large amount of hydrogen, carbon monoxide or higher hydrocarbons (ethane, propane). The possibility of fueling CI engines with these gasses was pre‐ sented by the influence of enriching natural gas with mentioned components. The results cover engine dynamometer tests for different operating conditions with the analysis of the combustion process and detailed emission measurements discussion. The results of experimental studies were supplemented by simulation results, using mathematical models, developed by the authors for multi-fuel enginesr.
Variation of energy and carbon fluxes from a restored temperate freshwater wetland and implications for carbon market verification protocols

Temperate freshwater wetlands are among the most productive terrestrial ecosystems, stimulating interest in using restored wetlands as biological carbon sequestration projects for greenhouse gas reduction programs. In this study, we used the eddy covariance technique to measure surface energy carbon fluxes from a constructed, impounded freshwater wetland during two annual periods that were 8 years apart: 2002–2003 and 2010–2011. During 2010–2011, we measured methane (CH4) fluxes to quantify the annual atmospheric carbon mass balance and its concomitant influence on global warming potential (GWP). Peak growing season fluxes of latent heat and carbon dioxide (CO2) were greater in 2002–2003 compared to 2010–2011. In 2002, the daily net ecosystem exchange reached as low as −10.6 g C m−2 d−1, which was greater than 3 times the magnitude observed in 2010 (−2.9 g C m−2 d−1). CH4 fluxes during 2010–2011 were positive throughout the year and followed a strong seasonal pattern, ranging from 38.1 mg C m−2 d−1 in the winter to 375.9 mg C m−2 d−1 during the summer. The results of this study suggest that the wetland had reduced gross ecosystem productivity in 2010–2011, likely due to the increase in dead plant biomass (standing litter) that inhibited the generation of new vegetation growth. In 2010–2011, there was a net positive GWP (675.3 g C m−2 yr−1), and when these values are evaluated as a sustained flux, the wetland will not reach radiative balance even after 500 years.
Effects of root extract of Withania somnifera in 3- Nitropropionic Acid-Induced Cognitive Dysfunction and Oxidative Damage in Rats

Purpose: To investigate the possible modulatory role of root extract of Withania somnifera (WS) in 3-Nitroproiponic acid (3-NP)-induced cognitive impairment and altered level of oxidative defense in discrete areas of rat brain. Methods: 3-NP was administered in a dose of 10 mg/kg for 14 days where as WS root extract (100 and 200 mg/kg) was administered orally along with 3-NP. Cognitive dysfunctions were assessed in Morris water maze and plus-maze performance task paradigms. On 15th day the animals were scarified and reduced glutathione, total glutathione, oxidized glutathione (GSSG), glutathione-S-transferase (GST) and acetylcholinesterase enzyme levels were estimated in the striatum, cortex and hippocampus of the rat brian. Results: Chronic WS root extract (100, 200 mg/kg) treatment for a period of 14 days significantly improved 3-NP-induced cognitive impairment in Morris water and plus maze tests (p<0.05). Further, WS root extract treatment significantly restored GSH, total glutathione, oxidized glutathione, GST and attenuated acetylcholinesterase levels in striatum, cortex and hippocampus regions of brain. Conclusion: There is possible neuroprotective effect of WS root extract against a 3-NP- induced neurotoxicity in rats. Key words: Huntington’s disease, 3-Nitropropionic acid, Oxidative stress, Withania somnifera
Development and validation of an RNAi screen for ABT-737 sensitizers

correspondence: John c reed Sanford-Burnham Medical research Institute, 10901 north Torrey Pines road, La Jolla, cA, USA Tel +1 858-646-3100 Fax +1 858-646-3194 Email reedoffice@sanfordburnham.org Abstract: The chemical compound ABT-737 is a nanomolar inhibitor of several antiapoptotic Bcl-2 family members with potential therapeutic efficacy for a variety of cancers. Herein, we describe the development of a complementation-based RNAi assay that can be used to identify mechanisms of ABT-737-resistance. HeLa cells, which were resistant to ABT-737, were optimized for reverse-transfection efficiency and tested for siRNA-mediated silencing. The developed assay utilized HeLa cell reverse-transfection with 10 nM siRNA, followed by 48 h incubation, ABT-737 or DMSO treatment for 24 h, and cell viability measurement using ATPlite (which measures ATP levels as an indicator of cell viability). As a validation, the kinase subset of the Ambion Silencer Human Druggable Genome siRNA Library V2, which consisted of 865 genes (three siRNA sequences per gene), was screened. Several assay-positive siRNAs were tested and confirmed to sensitize cells to ABT-737. Transfection of cells with siRNAs targeting Bcl-2 family member Mcl-1 also potently sensitized HeLa cells to ABT-737. The current assay thus represents a screen that can be utilized to identify ABT-737-sensitizing siRNAs and correspondingly, potential new targets for drug discovery.
Using a General Dynamic Econometric Framework to Specify the Appropriate Model in Studying Agricultural Production Structure: A Case Study of Crop Production in Iran

This paper shows the role of the general dynamic model in empirical research of production technology in agriculture. The model is a first order autoregressive multivariate specification, first developed by Anderson and Blundell. This model is general enough to nest several simpler dynamic as well as static models within it. Therefore, it provides a framework for applying classical testing procedures and identifying the appropriate specification in the empirical econometric model of production. The usefulness of the general dynamic model is shown by estimating the production structure in the Iranian crop sector. The results indicate that the Iranian crop production is best characterized by a long-run static model derived from a non-homothetic translog specification which incorporates non-neutral technological change and allows for structural change after the Islamic Revolution of 1979.
Hydrodynamic limit and propagation of chaos for Brownian particles reflecting from a Newtonian barrier

In 2001, Knight constructed a stochastic process modeling the one dimensional interaction of two particles, one being Newtonian in the sense that it obeys Newton's laws of motion, and the other particle being Brownian. We construct a multi-particle analog, using Skorohod map estimates in proving a propagation of chaos and characterizing the hydrodynamic limit as the solution to a PDE with free boundary condition. Stochastic methods are used to show existence and uniqueness for the free boundary problem, and also present an algorithm of approximating the solution.
Religious Attendance and Subjective Well-Being in an Eastern-Culture Country: Empirical Evidence from Taiwan

This paper investigates the relationship between religious attendance and subjective well-being in an Eastern-culture country. The findings of this study indicate that religious attendance has positive relationships with happiness as well as domain satisfactions with interpersonal relationship, health, and marital life, but it is not significantly related to the satisfaction with personal financial status. Interestingly, for believers of Eastern religions, those who have a higher level of relative income tend to have higher levels of satisfaction with financial status and health status, but are less satisfied with being free of worry and interpersonal relationship. Moreover, for the adherents of Eastern religions, those who have a higher educational attainment appear to report lower levels of overall happiness and the satisfaction with being free of worry. It appears that the differences in the religious practices and organizational settings between Eastern religions and Western Christianity lead to different patterns of the relationships between religious attendance and various measures of subjective well-being.
Simulation and Optimum Design of Journal Porous Metal Bearing Under Elastohydrodynamic Lubrication

With some new simulation methods and software tools it is possible to make qualitative analysis of sliding bearing behavior taking elastic deformations in account. This paper presents simulation and structural optimization of journal porous metal bearing under complex load distribution. Surface of porous metal bearing is loaded inside with pressure distribution that is calculated by hydrodynamic lubrication theory. Besides there is also frictional force loading inner surface and nonuniform temperature distribution on bearing volume. The structure analysis is made for each kind of load separately and for complex load distribution of bearing. This simulation is realized by finite elements method (FEM) in structure analysis module of CATIA V5 software. Based on this simulation in second part of paper is given parameter optimization of porous metal bearing with taking elastic deformations of bearing shell into account.Copyright © 2005 by ASME