Miracle-dz/UniFAR-FTUs huggingface dataset:
Fundamentals and Stock Returns in Japan

This paper relates cross-sectional differences in returns on Japanese stocks to the underlying behavior of four variables: earnings yield, size, book to market ratio, and cash flow yield. Alternative statistical specifications and various estimation methods are applied to a comprehensive, high-quality data set that extends from 1971 to 1988. The sample includes both manufacturing and nonmanufacturing firms, companies from both sections of the Tokyo Stock Exchange, and also delisted securities. The authors' findings reveal a significant relationship between these variables and expected returns in the Japanese market. Of the four variables considered, the book to market ratio and cash flow yield have the most significant positive impact on expected returns. Copyright 1991 by American Finance Association.
The development of the k 0 method in Peru : Past , present , and future perspectives

The k0 method was implemented at the Peruvian Institute of Nuclear Energy (IPEN), by 1993. Since the middle of 1994, almost all INAA work at IPEN is performed by the k0 method. The establishment, applications, development and future of the method in Peru are presented from a retrospective and prospective view. Attention is paid to difficult aspects, e. g. counting efficiency, characterization of irradiation facility; non ideal behaviour of the epithermal neutron spectrum and consistency of nuclear input data.
Evaluating the Effective Factors in Loyalty of Athletes to Sports Brands in the Archery League Teams

The purpose of this study is to evaluate and prioritize the factors affecting loyalty of athletes to Sports Brands in the archery league teams. The method of the study is descriptive and the needed data for the survey were collected in measuring way. The sample of the study consisted of 90 athletes participating in premier archery teams in 1393, 65 men and 25 women, but according to Kerjesi and Moorgan Table sample size decrease to 73. To select a representative sample of the population, a randomly stratified by gender, 53 males and 20 females, were determined and availability research questionnaire was distributed among them. Questionnaire of the survey was adapted from Lau and colleagues (2006) of 11 subscales (brand name, product quality, price, style of product, environment of store, advertising, quality of services, influence of others, social class, lifestyle and volume of advertising ), and 40 items were designed. Validity of the questionnaire was determined by outstanding masters of sports management and 0.77 Cronbach's Alpha showed acceptable reliability of the questionnaire. The KS test, stepwise regression, and Friedman were used for statistical analysis of data. Results showed that the components of price, volume of advertising, lifestyle and environment of store were stronger predictors for Sport Brands, respectively. Friedman test showed, among other components are the components of the product style, social class, lifestyle, quality of services, and the volume of advertising in the priority groups.
Reconstruction of photonic crystal geometries using a reduced basis method for nonlinear outputs

Maxwell solvers based on the hp-adaptive finite element method allow for accurate geometrical modeling and high numerical accuracy. These features are indispensable for the optimization of optical properties or reconstruction of parameters through inverse processes. High computational complexity prohibits the evaluation of the solution for many parameters. We present a reduced basis method (RBM) for the time-harmonic electromagnetic scattering problem allowing to compute solutions for a parameter configuration orders of magnitude faster. The RBM allows to evaluate linear and nonlinear outputs of interest like Fourier transform or the enhancement of the electromagnetic field in milliseconds. We apply the RBM to compute light-scattering off two dimensional photonic crystal structures made of silicon and reconstruct geometrical parameters.
DOES PERSONALITY MATTER FOR SMALL BUSINESS SUCCESS

Personality traits influence occupational choice and are valid predictors of managerial success. The primary objective of this study was to investigate whether a relationship exists between possessing certain personality traits and small business success. The personality dimensions of the five-factor model of personality, Extraversion, Conscientiousness, Openness to experience, Agreeableness and Neuroticism were the focus of this study. Convenience sampling was employed and 383 usable questionnaires were returned. The validity and reliability of the measuring instrument was assessed. Multiple regression analysis was undertaken to establish relationships between the independent variable (the five dimensions of personality) and the dependent variable, Business success. The findings of this study show that individuals who have high levels of the personality traits Extraversion, Conscientiousness and Openness to experience are more likely to have successful small businesses. Openness to experience is of specific importance as it demonstrates the strongest influence, and is the only trait that has a positive influence on both the financial and growth performance of the business. As such, insights are provided into the personality profile most suited to successful small-business ownership.
Higher Relative Degree Nonlinear Systems With ilc Using Lower‐order Differentiations

This paper addresses the problem of iterative learning control (ILC) for a class of nonlinear continuous‐time systems with higher relative degree. The proposed ILC solution is a family of updating laws using differentiations of tracking error with the order less than the system relative degree. A unified convergence condition for this family of ILC updating laws is provided and proved to be independent of the highest order of differentiation. The application to path tracking of a robotic manipulator is presented to illustrate the effectiveness of the proposed method.
Does game self-congruity increase usage and purchase?

Purpose – The aim of this paper is to measure the empirical relationship between self‐congruity and game usage and purchase. This is important because it highlights that games affect self concept and the symbolic value that can be obtained from the game. It is aimed to implement this study across four game types.Design/methodology/approach – A total of 493 consumers were surveyed and confirmatory factor analysis and structural equation modelling conducted across four game groups to model this same relationship.Findings – It was found that self‐congruity was positively related to game usage and purchase.Practical implications – Game development for consumers online, on wireless devices and on consoles should place greater emphasis on the practical implications of self‐congruity. Games impact self concept through self‐congruity. So, it is important that marketers understand the potential harm and positive impact of games on the consumers' cognition.Originality/value – This is the first paper to explore and .
Experimental Investigation on the Influence of Dust on PV Panel Performance and Its Surface Temperature

The energy demand and present climate change are critically driving all countries of the world towards solar energy as a sustainable renewable and environment friendly source of energy. Solar photovoltaic (PV) is required to convert solar energy into electrical energy and its performance is primarily dictated by its surrounding environmental parameters, such as dust, temperature, wind speed and humidity. The deposition of dust on the PV module surface procreates less impact on an open circuit voltage, whereas it procreates significant impacts on the short circuit current and maximum power output of PV panel. This study shows that the reduction of short circuit current and output power of PV module are 0 to 30.56% and 0 to 40%, respectivel,y with the deposition of the dust from 0 to 11gm on the module surface. Moreover, this study also demonstrates that the surface temperature of the dusty panel is higher (12.32%) than the clean panel under the same working conditions.
The inexpressibility of validity

Tarski's Undefinability of Truth Theorem comes in two versions: that no consistent theory which interprets Robinson's Arithmetic (Q) can prove all instances of the T-Scheme and hence define truth; and that no such theory, if sound, can even express truth. In this note, I prove corresponding limitative results for validity. While Peano Arithmetic already has the resources to define a predicate expressing logical validity, as Jeff Ketland has recently pointed out (2012, Validity as a primitive. Analysis 72: 421-30), no theory which interprets Q closed under the standard structural rules can define nor express validity, on pain of triviality. The results put pressure on the widespread view that there is an asymmetry between truth and validity, viz. that while the former cannot be defined within the language, the latter can. I argue that Vann McGee's and Hartry Field's arguments for the asymmetry view are problematic.
REDUCED POPULATION GROWTH OF GRAY SEALS AT SABLE ISLAND: EVIDENCE FROM PUP PRODUCTION AND AGE OF PRIMIPARITY

Pup production on Sable Island, Nova Scotia, has been increasing exponentially since the early 1960s and by 1997 Sable Island was the largest gray seal colony worldwide. Using an aerial photographic survey, as in previous years, we estimated pup production in January 2004 to determine if this exponential rate of increase had continued. A total of 33,268 pups was counted on the color positives. When corrected for the proportion pups missed on the imagery (1.106 for the 12th; 1.527 on the 13th), the proportion of pups that died prior to the survey (0.031), and the proportion of pups born before the survey (east colony 0.966, west colony 0.962), estimated total pup production was 41,500 with SE = 4,381. The 2004 estimate indicates that pup production on Sable Island has continued to increase, but suggests that the rate of increase (r) may have declined (0.070 compared to previous 0.128). Females from the 1998‐2000 cohorts were about 16 times less likely to give birth for the first time at age 4 yr and more than twice as likely at age 6 yr compared to those in the mid-late 1980s. The new estimate of pup production and observed changes in age of primiparity provide the first indication of changes in vital rates of this population. However, additional estimates of pup production and vital rates are needed to confirm this conclusion and to investigate the underlying mechanisms.
Filaments in carbonaceous meteorites: mineral crystals, modern bio-contaminants or indigenous microfossils of trichomic prokaryotes?

Environmental (ESEM) and Field Emission Scanning Electron Microscopy (FESEM) investigations have resulted in the detection of a large number of complex filaments in a variety of carbonaceous meteorites. Many of the filaments were observed to be clearly embedded the rock matrix of freshly fractured interior surfaces of the meteorites. The high resolution images obtained combined with tilt and rotation of the stage provide 3-dimensional morphological and morphometric data for the filaments. Calibrated Energy Dispersive X-ray Spectroscopy (EDS) and 2-D elemental X-ray maps have provided information on the chemical compositions of the filaments and the minerals of the associated meteorite rock matrix. These observations are used to evaluate diverse hypotheses regarding the possible abiotic or biogenic nature of the filaments found embedded in these meteorites.
Genetic Diversity and Population Structure of Liza klunzingeri from the Northern Persian Gulf Based on AFLP Analysis

The main purpose of this study was to investigate the genetic diversity and population structure of Liza klunzingeri in two regions of the Persian Gulf. In this study, the amplified fragment length polymorphism (AFLP) was employed to analyze population genetic diversity between two populations (Ziyarat & Hendijan). Seven primer combinations (E-AAG/M-CTA, E-ACT/ M-CAA, E-ACT/ M-CTA, E-AAG/M-CTG, E-ACT/MCAT, E- AAG/ M- CAC and E-AAG/ M- CAG) were used. A total of 358 fragments were identified from 40 individuals (two populations), with percentage of polymorphic bands (PPB) being 86.63% at the population level, respectively. The average gene diversity was 0.2528 and Shannon’s information index was 0.4030. Coefficient of gene differentiation between populations (GST) was 0.0585. AMOVA analysis revealed high genetic variations within populations (90%). The estimated number of migrants per generation (Nm) was 8.0419, indicating a high level of gene flow among populations. The UPGMA dendrogram clustered all 40 individuals into 2 groups. In some cases individuals from the same region were grouped together, but in most cases, gene exchange was observed to be common among the groups. To study the genetic relationships among populations, a principal coordinate analysis (PCoA) based on Nei’s genetic distances was performed. Results of this study showed that AFLP marker can be a useful tool for investigating the genetic diversity of Liza klunzingeri genotypes.
A Study of Iranian EFL Learners' Autonomy Level and its Relationship with Learning Style

Foreign language learning has become an essential component in people’s lives over the past decades. Knowing the importance of students learning style, autonomy level and their impact on learning helps teachers take into consideration such factors when choosing the appropriate techniques and tasks for their lessons. This study investigated learners’ autonomy level and its relationship with learning style in a sample of 200 undergraduate students studying at the Department of Foreign Languages, of Azad University, in Shiraz Branch by means of two questionnaires. The data of the study were analyzed by a two-way ANOVA and Pearson Product Moment Correlation with SPSS Version 16.0. The results revealed that visual and auditory learning styles were significantly and positively related to their learner autonomy. However there were no significant differences among males and females regarding language learning style and autonomy level.
High strength solution-strengthened ferritic ductile cast iron

High Silicon ductile iron (SSFs) represents a state-of-art in standardized ductile Iron grades, because it uniquely combines uniform hardness, intermediate strength and ductility rivalling that of some steels. Also backed by economic and technical potentials, it is imperative to take advantage of these unique properties to explore avenues to reach even higher strength levels in this grade. Within the SSF grade, strengthening limit with Silicon is reached at 4.3wt% with mechanical properties markedly plunging at this point, necessitating the need to investigate alternative strengthening measures aside expensive heat treatments, hence thesis objective to research methods to develop high strength SSF ductile irons as-cast. Casting process and production methods to mitigate against challenges of current SSF irons also form part of this objective. Researching and developing high strength SSF offers to the engineering materials pool, aside from obvious financial benefits, additional options in material selection for different applications, energy savings due to lighter castings, improved tool life from uniform hardness and boost knowledge on suitability of cast irons as viable replacements for steel in some applications. The solution approach in the thesis started with extensive literature reviews and background researches on DI standardized grades with emphasis on the SSFs and strengthening mechanisms to understand present challenges of these grades. The idea was then to aim for higher strength using the EN-GJS-600-10, the SSSF grade with the highest Silicon content and strength as both reference and base iron for designing the experimental high strength SSF. Using a succession of elimination methods in the product development process based on identified parameters for high strength in DIs, such as improving graphite properties, reducing carbidic presence etc., controlled chemical composition with Cobalt (Co) as alloying element was proposed. The result of the casting trials proved that Co indeed fortified the experimental SSF showing increase in strength and elongation. Graphite properties were improved, with refined nodules and higher nodule counts. In addition, no apparent graphite degeneracy was noticed in the microstructure with a homogenous ferritic matrix. The overall qualities of the Co-alloyed irons were better compared to the reference EN-GJS-600-10. The significance of the results is that silicon limit in current SSF grade does not affect the possibility of reaching higher strength via controlled alloying with other element. Co alloying provided better graphite attributes in the Iron which influenced elongation and cast quality. Although from the result data, it is statistically insufficient to ascertain if further increase in Co will be proportional to strength or elongation, Co however, similar in effect to Si, stabilizes austenite contributing positively to strength, increased nucleation and nodularisation efficiency.
Different Species and Proteins Classifiers and Protein's Structure Predictors Systems

Because the experimental techniques that have been used to determine protein structure such as the x-ray crystallography and Nuclear Magnetic Resonance "NMR" spectroscopy are very expensive and cannot be applied all the time, so the prediction may be the way to get the protein structure. Most of previous works in the field of protein structure prediction given a certain protein sequence works on a database of proteins from different species. In this proposed work we will use a given protein sequence such as hemoglobin, insulin, and albumin to recognize first the species that this sequence belongs to. Knowing the species to which the sequence belongs will give better results in predicting the structure of that sequence, either the 3D or the secondary structures. Knowing the species can even help in the correct recognition of the protein type given the protein sequence. In this paper we used the neural network, Hidden Markov model, and Euclidean distance techniques in the classification and prediction processes.
Financial Constraints and Inventory Investment of Listed Non-Financial Firms in Nigeria

Firms can experience financial constraints in periods when the monetary authority embarks on contractionary monetary policy. Firms with good internal sources of funds are usually not affected during this time, but those with poor internal sources of funds and coupled with high asymmetric information with lenders are expected to be financially constrained. The response of firms during this period has been of much concern to researchers. This study examined a sample of 76 quoted firms in the Nigerian Stock Exchange (NSE) to verify this hypothesis, using a system GMM method of econometrics, our result shows that financial constraints does not have any significant impact on inventory investment. The implication of this study is that, asymmetric information between borrowers and lenders may have little or no effect in the credit market in Nigeria.
Thermal responses in a coronal loop maintained by wave heating mechanisms

A full 3-dimensional compressible magnetohydrodynamic (MHD) simulation is conducted to investigate the thermal responses of a coronal loop to the dynamic dissipation processes of MHD waves. When the foot points of the loop are randomly and continuously forced, the MHD waves become excited and propagate upward. Then, a high-temperature corona is produced naturally as the wave energy dissipates. The excited wave packets become non-linear just above the magnetic canopy, and the wave energy cascades into smaller spatial scales. Moreover, collisions between counter-propagating Alfv\'{e}n wave packets increase the heating rate, resulting in impulsive temperature increases. Our model demonstrates that the heating events in the wave-heated loops can be nanoflare-like in the sense that they are spatially localized and temporally intermittent.
Estimating mixed layer nitrate in the North Atlantic Ocean

Here we present an equation for the estimation of nitrate in surface waters of the North Atlantic Ocean (40° N to 52° N, 10° W to 60° W). The equation was derived by multiple linear regression (MLR) from nitrate, sea surface temperature (SST) observational data and model mixed layer depth (MLD) data. The observational data were taken from merchant vessels that have crossed the North Atlantic on a regular basis in 2002/2003 and from 2005 to the present. It is important to find a robust and realistic estimate of MLD because the deepening of the mixed layer is crucial for nitrate supply to the surface. We compared model data from two models (FOAM and Mercator) with MLD derived from float data (using various criteria). The Mercator model gives a MLD estimate that is close to the MLD derived from floats. MLR was established using SST, MLD from Mercator, time and latitude as predictors. Additionally a neural network was trained with the same dataset and the results were validated against both model data as a "ground truth" and an independent observational dataset. This validation produced RMS errors of the same order for MLR and the neural network approach. We conclude that it is possible to estimate nitrate concentrations with an uncertainty of ±1.4 μmol L−1 in the North Atlantic.
Earnings Quality Determinants of the Jordanian Manufacturing Listed Companies

The current study aimed to identify the factors that affect the earnings quality of Manufacturing Companies listed at Amman Stock Exchange (ASE). Accordingly, four variables were selected, namely: Financial leverage, Firms performance, investment decisions and accounting conservation, in presence of two control variables, namely: firms size and cash holding. Ordinary least square (OLS) cross sectional regression model was applied on a sample of (58) manufacturing companies listed at Amman Stock Exchange (ASE) during the period 2000-2013 resulting in 812 firm/year observation. The results of the analysis showed the existence of statistically significant direct impact for each of firm performance, financial leverage and accounting conservation on earnings quality. These results are consistent with the view that the greater the company’s earnings are, it becomes the less likely to practice creative accounting or earnings management, what led to increased earnings quality. Also, these results are consistent with the point of view that external creditors are considered as external control tool over management’s performance, what in turns, reduces the agency cost and reduces the likelihood of practicing creative accounting or earnings management, which will reflect positively on the quality of earnings. Finally, accounting conservation plays a role in the reduction of the practice of creative accounting or earnings management.