Miracle-dz/UniFAR-FTUs huggingface dataset:
Regimenes Cambiarios y Performance Fiscal DIRECTOR

This paper analyzes the influence of exchange rate regimes on fiscal performance, focusing on the difference between fixed and flexible exchange rates. For these ends, a sample of 83 countries for the 1974-1998 period, the GMM methodology for dynamic proposal panel models proposed by Arellano and Bond (1991) and diverse exchange rate classifications are used. In relation to the latter, this paper discusses recent regimes classifications and proposes a new one that permits to cover possible inconsistencies between the commitment of the central bank and its observed behavior. The results suggest that regimes’ influence on fiscal performance depend on the international context, specifically the possibility of indebtedness and of the characteristics of the international finance system –integration, volatility and dominant financial structure-. In other words, it depends on credit availability as well as on the conditions or potential sanctioning of the finance system. It is found that in contexts where there is no original fiscal discipline and the authorities have the possibility of financing with debt of relatively low cost, fixed regimes do not purvey per se greater fiscal discipline than the flexible ones. On the contrary, flexible ones generate more discipline. In contexts with strong financing restrictions, the discipline’s effects of both regimes are not substantially different. While in situations with abundance of capitals but where they are highly integrated, volatile and possibly subject to contagion effect, the same functioning of the international finance system can, through their potential sanction, achieve greater discipline in economies with fixed regimes that wish to remain as such.
Double Generalized Beta-Binomial and Negative Binomial Regression Models

Overdispersion is a common phenomenon in count datasets, that can greatly affect inferences about the model. In this paper develop three joint mean and dispersion regression models in order to fit overdispersed data. These models are based on reparameterizations of the beta-binomial and negative binomial distributions. Finally, we propose a Bayesian approach to estimate the parameters of the overdispersion regression models and use it to fit a school absenteeism dataset.
Positive Psychotherapy Effect on Life Expectancy and General Health of Type 2 Diabetic Patients: A Randomized Controlled Trial

oday diabetes is one of the worldwide important health problems (1,2). The chronic disease causes more fatality, life quality reduction and therapeutic costs (3). Past studies showed that diabetes has negative effect on physical health as well as psychological status (4). For example stress is one of the important mental conditions which are risk factor of type 2 diabetes. Stress effects metabolic system and imbalance the blood sugar control. Poor glycemic control influences the psychological health too (5). Beside stress, depression (6) and anxiety (7) are respectively the most common mental disorders among diabetic patients. Social dysfunction, life expectancy reduction, T 1. Ph.D. Student of General Psychology, Department of Humanistic Sciences, Urmia University, Iran. 2. Ardakan Aging Center Research, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran. 3. Department of Clinical Psychology, Faculty of Medicine, Kermanshah University of Medical Science, Kermanshah, Iran. 4. Yazd Diabetes Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran. 5. Department of Clinical Psychology, Faculty of Medicine, Shahid Beheshti University of Medical Science, Tehran, Iran.
Small-Signal Dynamic DQ Model of Modular Multilevel Converter for System Studies

This paper presents three dynamic linear state-space models of the modular multilevel converter (MMC) which are suitable for small-signal dynamic studies and controller design. The three models differ by the number of states (two, six, and ten) and, therefore, are suitable for different applications based on the required accuracy. The 2nd- and 6th-order models ignore dynamics of the second harmonics and circulating current suppression control (CCSC). The main challenges of dynamic analytical modelling of MMC are the nonlinear multiplication terms in ABC frame equations for modulating oscillating signals. The multiplication nonlinear terms are therefore considered directly in the rotating DQ frame. This requires simultaneous modeling in zero sequence, fundamental frequency DQ and double fundamental frequency DQ2 frames. The proposed linear analytical models are implemented in state space in MATLAB. The validity and accuracy of the models are verified against a detailed 401-level MMC model in PSCAD/EMTDC in both time and frequency domains. The results show very good accuracy for the 10th-order model and decreasing accuracy for the lower order models. The influence of phase-locked loop and CCSC gains on the MMC dynamic is also studied using the proposed 10th model, and the results verify the suitability of the model for this purpose.
Can morphological analysis reveal the existence of subspecies of Praon exsoletum (Nees, 1811) (Hymenoptera: Braconidae, Aphidiinae) in various geographical regions?

Corresponding author: Abbas Ali Zamani, E-mail: azamani@razi.ac. ir Copyright © 2016, Hadadian et al. This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Can morphological analysis reveal the existence of subspecies of Praon exsoletum (Nees, 1811) (Hymenoptera: Braconidae, Aphidiinae) in various geographical regions?
Multiphase simulation of fiber suspension flows using immersed boundary methods

Abstract Fiber suspension simulations are challenging since they involve transient fluid flow with immersed solid objects subject to large displacements and rotations. In the present work, a beam model in corotational formulation is coupled with a fluid solver using immersed boundary methods. The model is used to simulate a fiber in a shear flow and excellent agreement is found with Jeffery's equations. The shapes of fibers deforming in a shear flow are found to be in qualitative agreement with shapes observed in experiments. The flow of a fiber suspension is studied by simulating early paper forming with one-way and semi-two-way coupling. It is found that the flow through the fiber web needs to be resolved in order to predict the retention of fibers in the fiber web.
Estimating Densities of Functions of Observations

Abstract Density estimates, such as histograms and more sophisticated versions, are important in applied and theoretical statistics. In applied statistics, a density estimate gives the data analyst a graphical overview of the shape of the distribution. This overview allows the data analyst to arrive immediately at a qualitative impression of the location, scale, and various aspects of the extremes of the distribution. In theoretical statistics, the shape of the density allows the researcher to link the data to families of curves, perhaps indexed parametrically. By estimating a density nonparametrically, certain aspects of the data can be viewed without the restriction of a priori imposing limitations of a class of parametric curves. In this article we introduce density estimation for functions of observations. To motivate the study, one type of function used is the interpoint distance between observations arising in spatial statistics from the fields of biometry and regional science. A second type of func.
Universality in the Hubbard model Tadahiro Miyao

A new viewpoint of universality is introduced in strongly correlated electron systems; Our description relies on the operator theoretic correlation inequalities. We explain the Marshall-Lieb-Mattis theorem and Lieb’s theorem from a viewpoint of universality; in addition, from the new perspective, we prove that Lieb’s theorem still holds true even if the electron-phonon and electron-photon interactions are taken into account. We also study Nagaoka-Thouless’ theorem and its stabilities in terms of universality.
Design of Dual-Band Slotted Patch Hybrid Couplers Based on PSO Algorithm

A planar 3 dB patch hybrid coupler using cross and circular-shape slots is presented for a dual-band application. By inductively loading a pair of cross slots and four circular holes on a square patch, the matching and isolation performance of the miniaturized patch hybrid coupler is improved. In addition, the open-circuited shunt stubs are further installed at four ports to realize two operating bands. Since the slotted patch resonator cannot be characterized by the closed-form transmission line theory, the particle swarm optimization (PSO) algorithm is constructed and integrated with a full-wave solver to determine the variable parameters of the proposed structure. Finally, a prototype dual-band coupler operating at 915 MHz and 1575 MHz is designed and fabricated. Measured results show a good agreement with those obtained from simulation.
A higher‐order Boussinesq‐type model with moving bottom boundary: applications to submarine landslide tsunami waves

A two‐dimensional depth‐integrated numerical model is developed using a fourth‐order Boussinesq approximation for an arbitrary time‐variable bottom boundary and is applied for submarine‐landslide‐generated waves. The mathematical formulation of model is an extension of (4,4) Padé approximant for moving bottom boundary. The mathematical formulations are derived based on a higher‐order perturbation analysis using the expanded form of velocity components. A sixth‐order multi‐step finite difference method is applied for spatial discretization and a sixth‐order Runge–Kutta method is applied for temporal discretization of the higher‐order depth‐integrated governing equations and boundary conditions. The present model is validated using available three‐dimensional experimental data and a good agreement is obtained. Moreover, the present higher‐order model is compared with fully potential three‐dimensional models as well as Boussinesq‐type multi‐layer models in several cases and the differences are discussed. The high accuracy of the present numerical model in considering the nonlinearity effects and frequency dispersion of waves is proven particularly for waves generated in intermediate and deeper water area. Copyright © 2006 John Wiley & Sons, Ltd.
New Syntheses of Benzobarrelenes

New syntheses of both substituted and unsubstituted benzobarrelenes are described. Treatment of 3,5-cyclohexadiene-cis-1,2-diol with benzadehyde dimethyl acetal in the presence of a catalytic amount of p-toluenesul- fonic acid gave 1,2-(benzylidenedioxy)-3,5-cyclohexadiene (2). Addition of benzynes to 2 provided (3) and (4). Treatment of (3) and (4) with excess LDA and potassium tert-butoxide afforded benzobarrelenes (1) and (5) in good yields
Energy-Efficient Virtual Screening with ARM-CPU-Based Computers

We attempted to find a more sustainable solution for performing virtual screening with AutoDock Vina which uses less electricity than computers using typical x64 CPUs. We tested a cluster of ODROID-XU3 Lite computers with ARM CPUs and compared its performance to a server with x64 CPUs. In order to be a viable solution, our cluster needed to perform the screen without sacrificing speed or increasing hardware costs. The cluster completed the virtual screen in a little less time than our comparison server while using just over half the electricity that the server used. Additionally, the hardware for the cluster cost about 38% less than the server, making it a viable solution.
Marginal Price of Lake Recreation and Aesthetics: An Hedonic Approach

Abstract Efficient allocation of water requires knowledge of water's value in both consumptive and nonconsumptive uses. This study estimates the marginal value of water in lake recreational and aesthetic (RA) use. An hedonic price equation (employing the Box-Cox functional form) indicates lake front location, distance to lake, and scenic view are significant RA characteristics of housing. Water front properties command a premium price for the private access they offer. Beyond the water front, the marginal RA price falls rapidly with increasing distance, becoming asymptotic to some minimum. Twenty-two percent of housing price is found to be attributable to the RA component.
Metal Catalyst-Free Amination of 2-chloro-5-nitrobenzoic Acid in Superheated Water

A series of N-arylanthranilic acid derivatives were synthesised by amination of 2-chloro-5-nitrobenzoic acid with various arylamine in superheated water with potassium carbonate as base. Good yields were achieved within 2-3 h at 150-190 °C. The results indicated that this metal catalyst-free method is a simple, environmentally-friendly and efficient synthesis of N-phenylanthranilic acid derivatives. Furthermore, it will work with an alkylamine and phenol.
Wildfire Predictions: Determining Reliable Models using Fused Dataset

Wildfires are a major environmental hazard that causes fatalities greater than structural fire and other disasters. Computerized models have increased the possibilities of predictions that enhanced the firefighting capabilities in U.S. While predictive models are faster and accurate, it is still important to identify the right model for the data type analyzed. The paper aims at understanding the reliability of three predictive methods using fused dataset. Performances of these methods (Support Vector Machine, K-Nearest Neighbors, and decision tree models) are evaluated using binary and multiclass classifications that predict wildfire occurrence and its severity. Data extracted from meteorological database, and U.S fire database are utilized to understand the accuracy of these models that enhances the discussion on using right model for dataset based on their size. The findings of the paper include SVM as the best optimum models for binary and multiclass classifications on the selected fused dataset.
Evaluating soluble and insoluble ash, alkalinity of soluble and insoluble ash and total alkalinity of ash in honey using electrical conductivity measurements at 20 °C

Trente echantillons de miel provenant du Pays Basque ont ete recoltes a l'automne 1987. Les cendres solubles (cs) et leur alcalinite, de meme que les cendres insolubles (ci) et leur alcalinite, ont ete determinees selon les methodes de Leach et Winton. Lors de la determination de l'alcalinite des cs et des ci, le point final de la titration a ete fixe en mesurant le pH et en calculant le second derive, ce qui fournit une prevision du point final plus sure qu'avec le methylorange. L'alcalinite totale des cendres est la somme des alcalinites des cs et des ci
Efficient estimation of Pareto model using modified maximum likelihood estimators

In this article, we have proposed some modifications in the maximum likelihood estimation for estimating the parameters of the Pareto distribution and evaluated performance of these modified estimators in comparison to the existing maximum likelihood estimators. Total Relative Deviation (TRD) and Mean Square Error (MSE) have been used as performance indicators for goodness of fit analysis. The modified and traditional estimators have been compared for different sample sizes and different parameter combinations using a Monto Carlo simulation in R-language. We have concluded that the modified maximum likelihood estimator based on expectation of empirical Cumulative Distribution Function (CDF) of first-order statistic performs much better than the traditional ML estimator and other modified estimators based on median and coefficient of variation. The superiority of the said estimator is independent of sample size and choice of true parameter values. The simulation results were further corroborated by employing the proposed estimation strategies on two real-life data sets.
Juzi

This paper describes Juzi, a tool for automatic repair of complex data structures. Juzi takes a Java class representing the data structure as well as a predicate method that specifies the structural integrity constraints as inputs. Juzi instruments its inputs and generates a new Java class which behaves similarly to the original class, yet automatically repairs itself when the structural integrity constraints are violated. Juzi implements a novel repair algorithm. Given a structure that violates its integrity constraints, Juzi performs a systematic search based on symbolic execution to repair the structure, i.e., mutate it such that the resulting structure satisfies the given constraints. Experiments on structures ranging from library classes to standalone applications, show that Juzi repairs complex structures while enabling programs to recover from erroneous executions caused by data structure corruptions.
Convergence of nonsmooth descent methods via Kurdyka-Lojasiewicz inequality on Riemannian manifolds

We develop a subgradient-oriented descent method in nonsmooth optimization on Riemannian manifolds and prove convergence of the method in the sense of subsequences for nonsmooth functions whose standard models are strict. Moreover, we present a nonsmooth version of the Kurdyka-Lojasiewicz inequality and show that a locally Lipschitz C-function defined on an analytic manifold satisfies this inequality. Finally, we prove that if the objective function satisfies the Kurdyka-Lojasiewicz inequality and its standard model is strict, then the sequence of iterates of the subgradient-oriented descent algorithm converges to a singular critical point.
Socio-demographic factors as determinants of poverty in crude oil polluted crop farms in Rivers State, Nigeria.

This paper focused on use of socio-demographic factors as determinants of poverty using tobit analysis in crude oil polluted crop farms in Rivers State, Nigeria. Multistage sampling was used to obtain data from 17 local government areas. A total of 296 questionnaires were used for analysis. The results showed that dependency ratio, household size, mean adult equivalent expenditure, ratio of food expenditure to total expenditure were factors that significantly decreased incidence of poverty, while marital type, age and occupation marginally increased poverty. Increase in mean adult equivalent expenditure reduced probability of poverty by 8.66% and 6.70%; intensity of poverty by 4.31% and 4.56% in crude oil polluted and non-polluted farm-households respectively. Decrease in ratio of food expenditure to total expenditure reduced probability of poverty by 5.02% and 0.85%; intensity of poverty by 2.50% and 0.58% in crude oil polluted and non-polluted farm-households. Poverty was higher in crude oil polluted farm-households.
Age Adjustment by Italian Firms: Any Difference During the Crisis? A Survey-Based Analysis

The study analyses wage adjustment by Italian firms on the basis of information collected through a coordinated survey carried out in 17 European countries in two waves (at the beginning of 2008 and in the summer of 2009). The pre-crisis evidence indicates that the degree of wage rigidity is relatively high in Italy: wages remain unchanged on average for about two years, against an average of just over one year in the other countries. Italian firms hardly cut nominal wages, reflecting not only institutional constraints, but also an attempt to avoid a negative impact on their productivity. During the economic recession the firms most severely affected by the fall in demand reduced their costs mainly by adjusting the input of labour (in terms of both employment and hours worked). A higher incidence of skilled and white-collar workers was accompanied by greater recourse to strategies aimed at containing non-labour costs, presumably in order to preserve the human capital accumulated.
Market Performance – Liquidity or Knowledge? Evidence from the Market for Corporate Control

This is an Accepted Manuscript of a book chapter published by Routledge in Theory and Method of Evolutionary Political Economy on 19 January 2017, available online: https://www.routledge. com/Theory-and-Method-of-Evolutionary-Political-Economy-A-Cyprus-Symposium/Hanappi-Katsikides-Scholz-Wackerle/p/book/9781138204096.
ANALYSIS OF A CONVOLUTION METHOD FOR THE ASSESSMENT OF DISTRIBUTION GRIDS WITHIN PROBABILISTIC POWER FLOW CALCULATION

Probabilistic power flow calculation techniques are used in order to assess uncertainties due to current or future states of distribution grids (DG). These uncertainties are the stochastic behaviour of distributed energy resources (DER) and their hardly predictable number, installed capacity and location. This paper presents a consistent and comprising modelling of DER in form of parameterized probability density functions (PDF) and a convolution method, which takes into account correlations between DER and minimizes linearization errors by using a multilinearization approach.
INQUISITIONS INTO THE COMPLAIN AND THE NON-COMPLAIN CUSTOMERS: The Malaysian Customers' Insight

This is an inquisition study on the behaviours of Malaysian customers who complain and those who do not. Data was acquired from 214 mature working students from two Universities using two approaches. The first approach was an email-based approach that resulted in 83 returned questionnaires which accounts to 27.7 percent rate of return. The second was a self-administered approach which took place in classrooms whereby the respondents were selected randomly based on their seating. This approach resulted in 131 returned questionnaires with a 65.5 percent rate of return. The study attempts to uncover the nature of complainers and non-complainers in Malaysia and compare them with past studies from the West. The results of this study indicate that non-complain customers do exist here, and they are significantly different from those who used to complain. The complainers, as similar to that from the western studies, are more extroverted in nature as compared to the non-complainers. The findings suggest that non-complain customers from this part of the market are socially anxious, exhibit low self-efficacy, and high self-monitoring towards complaining. This paper enhanced knowledge on post-purchase perspectives from the Non-Western world represented by one of the Asian markets. The Asians, though multi-races, shared a unique culture among them that is close-knit family relationships which can either be detrimental or beneficial for marketers. The implication of this study to managers is the importance of devising a customer friendly procedure to complaining, and the importance of managing customer relationships.
Demand for fish and its substitutes in Malaysia: evidence of habit formation and structural change

This paper addresses the issue of changes in consumers' tastes in the demand for fish and meat products in Malaysia. Both, habit persistent effect and structural change in consumers' preferences towards fish and its substitutes are empirically examined using data from 1960 to 1990 with an Almost Ideal Demand System (AIDS) approach. In the dynamic AIDS model, it was found that there was a pervasiveness of habit formation in the demand for fish, chicken and pork but the amount of beef and mutton purchased during the last period tends to lower current budget allocation on these meat products. The structural change in consumers' preferences were tested using CUSUMSQ procedure and it was found that there was no structural break in the fish equation. This indicates that consumers' tastes do not change with respect to fish, consistent with a priori expectation, but the more health-conscious population are changing their preferences away from the red meats and currently demanding a bigger amount of white meat, which includes fish.