Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of selenium foliar application on its content in winter wheat grain

The effect of foliar application of graduated Se rates (0.5, 1.0, 10 and 20 g Se/ha) on the winter wheat grain yield and Se accumulation in grain was investigated in the accurate field fertilization experiment. Selenium fertilization was realized together with the application of liquid fertilizer DAM-390 (30 kg N/ha) in the growth stage of the 6th leaf (Zadoks = 29). Applied treatments of Se fertilization did not influence the yields of grain. These yields fluctuated within the range of from 5.98 to 6.08, 5.65 to 5.71, and 7.78 to 8.04 t/ha of grain in the years 1999, 2000 and 2001, respectively. Highly significant lower grain yields in the year 2000 comparing to the other experimental years were caused by unfavorable weather conditions. Both the rates of 10 and 20 g Se/ha highly significantly increased Se accumulation in grain in all experimental years. The average Se content in grain dry matter was 0.045 mg/kg under unfertilized treatment and with the Se rates of 10 g and 20 g/ha it increased to the value of 0.088 and 0.145 mg/kg, respectively. The total offtake of Se by grain yield increased in the similar way. It results from the experiment that the rate of 10 g Se/ha is sufficient for achieving the required Se content in winter wheat grain.
Fiscal Decentralization in Developing Countries: The Effects of Local Corruption and Tax Evasion

A movement toward fiscal decentralization is underway in many countries across the world. This movement is partly justified by appeal to the classic argument of Tiebout (1956), who claimed that decentralized provision of public goods allows better fulfillment of diverse individual demands. Many commentators, however, have expressed concern that the conditions justifying Tiebout's argument are not present in many developing countries. This paper analyzes the consequences of altering Tiebout's model to include local corruption and tax evasion, which may exist in many developing countries. The analysis shows that these forces indeed limit the benefits from fiscal decentralization. By raising public-good costs, corruption cancels some of the gains from better demand fulfillment, which arise as Tiebout sorting generates homogeneous local jurisdictions. By creating incentives for mixing, thereby preventing formation of homogeneous communities, tax evasion may block the operation of the Tiebout mechanism, eliminating the gains from fiscal decentralization.
The Distributions of the Density and the Mass for Spiral Galaxies

Expressions for the distributions of the density and mass of spiral galaxies have been derived for three different orientations of rotation curves with a turn over radius (rt). The central region of the galaxy is found to rotate as a rigid body with a constant density and with a central mass as a function of r 3 . The density of the outer regions (r > rt) is found to vary inversely with the radius (r), and the corresponding mass is found to be a function of r 2 .
Risk Behavior of Students on the Internet.

The aim of this research is to examine risk behaviour of students (adolescents) on the internet, i.e. which risk websites students visit most in their free time, and whether there are differences among students considering the type of school they attend (gymnasium, four-year high school and three-year high school). The research was carried out in the school year 2014/2015 in 18 high schools on a sample of 2395 participants in Republic of Croatia (two counties). According to research results, students most often visit websites that reproduce movies and music and offer entire channels without having to pay any sort of fee. Websites where they can upload pictures and stories that might affect other people 's reputation are the least visited. A difference in visiting risk websites considering the type of school students attend has also been confirmed. According to research results, there are no statistically significant differences among students considering the way they spend their free time and the amount of free time they spend on the internet.
Resource Fault Prediction Models

The use of tools to forecast faults over computational resources composing highly distributed system, like Grid systems, represents an interesting approach to control the comprehensive performance of these systems, limiting the number of job submissions to those computational resources temporally unable to complete any job. The analysis of log information retrieved from a real system shows an homogeneous behavior of the computational resources involved, and therefore the possibility to bu ild forecasting tools limiting the number of job submissions that fail. The results obtained in this paper show on one side the possibility to obtain high percentage of correct forecasts even with simple models, and from the other side the difficulty to improve these results even using adaptive models relatively complex.
Towards scaling up DynAlloy analysis using predicate abstraction

DynAlloy is an extension to the Alloy specification language suitable for modeling properties of executions of software systems. DynAlloy provides fully automated support for verifying properties of programs, in the style of the Alloy Analyzer, i.e., by exhaustively searching for counterexamples of properties in bounded scenarios (bounded domains and iterations of programs). But, as for other automated analysis techniques, the so called state explotion problem makes the analysis feasible only for small bounds. In this paper, we take advantage of an abstraction technique known as predicate abstraction, for scaling up theion technique known as predicate abstraction, for scaling up the analysis of DynAlloy specifications. The implementation of predicate abstraction we present enables us to substantially increase the domain and iteration bounds in some case studies, and its use is fully automated. Our implementation is relatively efficient, exploiting the reuse of already calculated abstractions when these are available, and an “on the fly” check of traces when looking for counterexamples. We introduce the implementation of the technique, and some preliminary experimental results with case studies, to illustrate the benefits of the technique.
The Profitability Premium: Macroeconomic Risks or Expectation Errors?

Macroeconomic risks only partially capture the profitability premium, while adding a misvaluation factor based on investor sentiment helps explain a substantial amount of it. The profitability premium mainly exists in firms whose market valuations are inconsistent with their profitability and therefore subject to ex-ante expectation errors during high sentiment periods. Direct evidence shows that firms with high profitability but low market valuation have significantly higher abnormal earnings announcement returns, analyst earnings forecast errors and forecast revisions than firms with low profitability but high market valuation. Return decomposition further confirms that the profitability premium is driven by the unexpected cash-flow component.
Prognostic Impact Of P 53 , EGFR And HER 2 / Neu Proteins On Renal Cell Carcinoma

The expression of p53, HER2/neu and EGFR in renal cell carcinoma was studied using immunohistochemical methods in paraffin-embedded nephrectomy specimens from 40 patients. Expression of p53, EGFR and HER2/neu was observed in 22 (55%), 33 (82.5%) and 10 (25%) patients respectively. In the Cox regression analysis overall expression of p53 was not statistically significant with a p value of 0.5 for total expression, 0.6 for weak expression and 0.2 for strong p53 expression. The HER2 positivity was also not statistically significant with a p value of 0.2 and a hazard ratio of 0.4. Similar results were obtained for EGFR overexpression with a p value of 0.591 for overall positivity, 0.3 for weak staining and 0.56 for strong staining. Our results indicate that p53, EGFR and HER2/neu proteins may play a role in determining the prognosis in RCC. However the results were insignificant and a greater patient cohort is required before any true conclusions can be made.
Disruption of NBS1 gene leads to early embryonic lethality in homozygous null mice and induces specific cancer in heterozygous mice

Nijmegen breakage syndrome (NBS) is a rare autosomal recessive chromosome instability syndrome characterized by microcephaly, growth retardation, immunodeficiency, and cancer predisposition, with cellular features similar to that of ataxia telangiectasia (AT). NBS results from mutations in the mammalian gene Nbs1 that codes for a 95-kDa protein called nibrin, NBS1, or p95. To establish an animal model for NBS, we attempted to generate NBS1 knockout mice. However, NBS1 gene knockouts were lethal at an early embryonic stage. NBS1 homozygous(-/-) blastocyst cells cultured in vitro showed retarded growth and subsequently underwent growth arrest within 5 days of culture. Apoptosis, assayed by TUNEL staining, was observed in NBSI homozygous(-/-) blastocyst cells cultured for four days. NBSI heterozygous(+/-) mice were normal, and exhibited no specific phenotype for at least one year. However, fibroblast cells from NBSI heterozygous(+/-) mice displayed an enhanced frequency of spontaneous transformation to anchorage-independent growth as compared to NBS1 wild-type(+/+) cells. Furthermore, heterozygous(+/-) mice exhibited a high incidence of hepatocellular carcinoma after one year compared to wild-type mice, even though no significant differences in the incidence of other tumors such as lung adenocarcinoma and lymphoma were observed. Taken together, these results strongly suggest that NBS1 heterozygosity and reduced NBSI expression induces formation of specific tumors in mice.
Enhancing Learning through Information and Communication Technology: University of Ilorin Pre-Service Teachers' Perception

Pre-service teachers are the trainees who prepared to undertake the teaching role of a teacher. However, the efforts in the use of information and communication technology (ICT) in pre-service teachers training on how to use it in teaching-learning process have not been fully addressed. ICT encourages the transformation of instruction from teachercenteredness to learner-centeredness. Thus, this study examined the usefulness of ICT in enhancing learning among pre-service teachers in the University of Ilorin. The population for the study comprised of 1,400 final year pre-service teachers in the Faculty of Education while 150 students were randomly selected from all the departments in the Faculty of Education. Descriptive survey research type was adopted and a 4-point Likert-type scale questionnaire comprising 21 items was administered. Thus, four research questions and two research hypotheses were answered and tested using mean rating and t-test statistical tool, respectively. The findings revealed amongst others that; ICT enhanced learning among preservice teachers with the mean rating of 3.3 using 2.0 as the benchmark. Also, pre-service teachers had positive attitude towards using ICT with the mean rating of 3.2 using 2.0 as the benchmark. Therefore, no significant difference existed between the perceptions of male and female pre-service teachers on the usefulness of ICT in learning. Also, no significant difference existed between the perceptions of male and female pre-service teachers on their attitude towards the use of ICT in learning. Based on the findings, it was recommended 72 Malaysian Journal of Distance Education 18(1), 71–85 (2016) amongst others that efforts should be made to improve on the use of ICT in learning among pre-service teachers.
Microcomputer Playfulness: An Antecedent to Understanding User Intention to Adopt

This study investigates the relationship between microcomputer playfulness, an individual’s intention to adopt an information technology (IT), and their attitude toward adopting an IT. Analysis indicates that microcomputer playfulness is a significant variable in the determination of attitude toward adopting an information technology as well as end-user intention to adopt. The identification of high and low playfulness individuals, and the characteristics they deem important regarding innovations, allow the organization to customize technology introduction, training and implementation processes as to increase the likelihood of successful technology diffusion. The study identifies a significance of microcomputer playfulness as a behavioral input into innovation diffusion theory that has yet to be previously investigated from a technology adoption perspective. Introduction The growing use of microcomputers and information technology (IT) has promised rapid increases in the productivity of end-users, but the promise to some extent remains unfulfilled. This unfulfilled promise is due to, among other factors, a lack of understanding of the adoption behavior of the end-user: the unwillingness of many workers to first accept and secondly utilize innovations (Davis, 1989; Moore and Benbasat, 1990). Previous research examining the causes of ineffective computer adoption or use has demonstrated that the major portion of these causes are behavioral rather than technical (Turnage, 1990). While rational reasons may be important to the acceptance of innovations, other research has shown that microcomputer playfulness can also be a contributor to an individuals’ willingness to try something new. Microcomputer playfulness represents the degree of cognitive spontaneity, creativity, exploration and inventiveness in microcomputer interactions (Webster and Martocchio, 1992). Playfulness exist on multiple levels as a characteristic of individuals of interpersonal interactions and of social systems. This research will focus on playfulness as an individual characteristic (trait), that is, a predisposition to define and engage in activities in a spontaneous, fanciful or non-serious manner to increase enjoyment (Webster & Martocchio, 1992). The primary purpose of this research is to investigate the relationship between “microcomputer playfulness" in individuals and its effect on their intention to adopt an information technology.
Determination of the accumulator plants in Kucukcekmece Lake (Istanbul)

Soils are polluted by actions like using commercial fertilizers, pesticides, soil regulators and hormones to increase the amount and quality of agricultural production, discharge of soil and liquid wastes, performing wastewater sludge applications, using polluted waters in agricultural irrigation, atmospheric precipitations and radioactive sprays. It is an important environmental problem to reform and clean the soils polluted with heavy metals. Phytoremediation is a measure which uses several plants to remove the pollutants from water and soil to reduce, completely extract, control or immobilize them. The plants used for this reason are referred to as the accumulators. Metal accumulation can occur in several different families like small annual grass to perennial bushes and trees. For remediation or cleaning of the soils polluted with heavy metals, the ideal plant species are the ones which can produce high amounts of biomass, and can accumulate and tolerate the pollutants. In this study, the Cd and Zn contents obtained from Kucukcekmece Lake border were monitored on monthly basis and it was aimed at determining the plant species with accumulation ability. The plants chosen for this activity were Labiatae galatica, Compositae cardueae, Cypereace carex, and Phragmites australis . Compositae cardueae was the most efficient species in terms of mean heavy metal intake performance. Key words : Heavy metals, accumulators, phytoremediation, soil pollution, Cd, Zn.
A Model for Movie Recommender Systems Based on Collaborative Filtering

The recommender systems are used in different fields such as movie, music, social networks and etc. their aim is giving attractive suggestions to users concerning their performance in the system. Content-based methods and participatory filtering are the most popular recommender systems. The participatory method has two main problems. The first one is a cold start of users and the next problem is loyal users believe. In this article, one recommender system has been designed with a combination of the content-based and participatory filtering methods as a boosting system. Besides, that includes the problem solving of a cold start, trusting and attention to the loyal users. The recommender method consists of three steps: 1) the primary classification of all users and assigning a suitable classification to a new user. 2) The determination of an appropriate weight for each characteristic of slightly users and close neighbors of a new user. 3) Making a scores adjacency matrix of the neighbors close to available movie and the scores calculation of new users for each movie. The presented method, concerning demographic information of users, utilizes content-based system capability for primary classification. The gained consequences show that, mean absolute error and the root mean square error for the recommender method compare with Naive Bayes, C 2 4.5, C M 4.5 and RCA has improved about 8.4%.
The Effect of Sub-division (Two or Three Sub-populations) of a Population on Genetic Gain and Genetic Diversity

Breeding efficiencies were compared among three population schemes: a single population, a population with two sub- populations and a population with three sub-populations. A simulation experiment of selection was carried out for 10 generations with 20 replications each by comparing average breeding values and inbreeding coefficients among the three population schemes. Phenotypes of three traits were generated with a model comprising 36 loci, each with additive genetic effects and residuals distributed normally. Among the three population schemes, the single population scheme was definitely superior to the other two with regards to selection response and inbreeding. The multiple sub-population scheme was, however, considered to be an alternative population scheme when the difference in economic weights of the traits was small among the sub-populations, assuming moderate inbreeding depression for traits and crossbreeding. The scheme with two sub-populations had a higher genetic value than that with three sub- populations; however, the genetic values of the schemes were comparable when maternal heterosis was taken into account. The choice of population schemes may depend on the cost-sharing policy between the breeding population and the commercial population rather than just the breeding efficiency. (Asian-Aust. J. Anim. Sci. 2002. Vol 15, No. 6 : 767-771)
Pollen Characters and Their Evolutionary Significance With Special Reference to the Flora of Karachi

The pollen morphology of 353 species from Karachi, belonging to 67 families of angiosperms, distributed in 58 dicots and 9 monocots were investigated by scanning electron microscope (S.E.M.) and light microscope (L.M.). Examination of these families revealed great pollen diversity in their qualitative and quantitative characters. However, from a phylogenetic and evolutionary point of view, polarity, symmetry, apertural types and exine sculpturing are the most important characters. In general, dicot pollen is relatively more specialized than that of monocots. Dicotyledons are generally characterized by radially symmetrical, isopolar, colporate, colpate and porate pollen, whereas monocotyledon are usually heteropolar, bilaterally symmetric, boat-shaped, monocolpate and monoporate pollen. With few problematic exceptions, the pollen data supports the general classification. The relatively most primitive pollen type i.e. monosulcate (monocolpate), heteropolar, bilaterally symmetric pollen are restricted to the most primitive subclass of dicots i.e., Magnoliidae and to the monocots. In contrast to this, the highly advanced subclass Asteridae exhibits the greatest array of specialized pollen types, especially the family compositae.
Towards a 'pattern language' for spatial simulation models

Computational models are widely used in fields from spatial ecology to transportation, and from archaeology to urban geography. Explicitly spatial simulation models are increasingly commonplace, and exhibit a seemingly broad diversity of underlying structures. The challenges of documenting such models are such that it can be difficult to see past details of specific models in order to generalise findings from any particular model. This is a challenge to making progress in computational model-oriented science.
The Effect of Job Rotation on Career Management

Job rotation is a type of on-the-job training where an employee is encouraged to gain a range of information, skills and competencies in the workplace.The purpose of this study is to examine the influence of job rotation on career management.Toward this objective, a survey was carried out among st 76 assistant registrars in one public university in Malaysia.Factor analysis has revealed that there are three distinct dimensions of job rotation, namely, business knowledge, technical knowledge and administrative knowledge, as well as a single dimension of career management.Multiple regression results shows that only two dimensions of job rotation have significantly influence on career management, with the exception of business knowledge.This finding has also indicated that job rotation practice affects the career management through the enhancement and enrichment of employees’ knowledge and skills, which in turn will influence their career progression in the workplace
MHDSTS: a new explicit numerical scheme for simulations of partially ionised solar plasma

The interaction of plasma with magnetic field in the partially ionised solar atmosphere is frequently modelled via a single-fluid approximation, which is valid for the case of a strongly coupled collisional media, such as solar photosphere and low chromosphere. Under the single-fluid formalism the main non-ideal effects are described by a series of extra terms in the generalised induction equation and in the energy conservation equation. These effects are: Ohmic diffusion, ambipolar diffusion, the Hall effect, and the Biermann battery effect. From the point of view of the numerical solution of the single-fluid equations, when ambipolar diffusion or Hall effects dominate can introduce severe restrictions on the integration time step and can compromise the stability of the numerical scheme. In this paper we introduce two numerical schemes to overcome those limitations. The first of them is known as super time-stepping (STS) and it is designed to overcome the limitations imposed when the ambipolar diffusion term is dominant. The second scheme is called the Hall diffusion scheme (HDS) and it is used when the Hall term becomes dominant. These two numerical techniques can be used together by applying Strang operator splitting. This paper describes the implementation of the STS and HDS schemes in the single-fluid code MANCHA3D. The validation for each of these schemes is provided by comparing the analytical solution with the numerical one for a suite of numerical tests.
GPU accelerated hough transform for high level trigger application

The charged particle trajectory recognition is a very complex and time consuming process particularly when the multiplicity becomes very large during the heavy ion collisions at relativistic energies. Since all the events may not be of interest to record, it is essential to have a fast algorithm to select the desired events through online triggering which is known as high level trigger(HLT). ALICE (A Large Hadron Collider Experiment) is a general purpose detector, being used at CERN, LHC to study nucleus-nucleus and protonproton collisions at different centre of mass energies [1]. The task of the ALICE High level trigger (HLT) is to select the events of interest using various fast track reconstruction algorithms. A fast track-reconstruction algorithm for the time projection chamber of ALICE detector has been discussed in Ref. [2] based on linear Hough Transform (HT). In this work, a similar implementation of HT is done using graphic processing unit(GPU), using both circular and linear HT with simulated data as discussed below.