319 research outputs found
Investigation of phase-equivalent potentials by a halo transfer reaction
Using the supersymmetric quantum mechanics we investigate the wave
function-sensitive properties of the supersymmetric potentials which have
received a lot of attention in the literature recently. We show that a
superdeep potential and its phase-equivalent shallow-partner potential give
very similar "rms" values for the weakly bound systems such as the deuteron and
11Be nuclei. Although the corresponding eigenstates differ in the node-number,
our investigation on the 11Be(p,d)10Be single nucleon halo transfer reaction at
35 MeV show that also other physical quantities such as the cross section
angular distributions calculated using these wave functions reflect the nodal
structure rather weakly. This lends support to two nearly equivalent treatments
of the Pauli principle.Comment: 20 pages article in LaTEX (uses standard article.sty). Figures can be
obtained from author(s). Please check "http://www1.gantep.edu.tr/~ozer" for
other studies of Nuclear Physics Group at University of Gaziante
Data Mining Feature Subset Weighting and Selection Using Genetic Algorithms
We present a simple genetic algorithm (sGA), which is developed under Genetic Rule and Classifier Construction Environment (GRaCCE) to solve feature subset selection and weighting problem to have better classification accuracy on k-nearest neighborhood (KNN) algorithm. Our hypotheses are that weighting the features will affect the performance of the KNN algorithm and will cause better classification accuracy rate than that of binary classification. The weighted-sGA algorithm uses real-value chromosomes to find the weights for features and binary-sGA uses integer-value chromosomes to select the subset of features from original feature set. A Repair algorithm is developed for weighted-sGA algorithm to guarantee the feasibility of chromosomes. By feasibility we mean that the sum of values of each gene in a chromosome must be equal to 1. To calculate the fitness values for each chromosome in the population, we use K Nearest Neighbor Algorithm (KNN) as our fitness function. The Euclidean distance from one individual to other individuals is calculated on the d-dimensional feature space to classify an unknown instance. GRaCCE searches for good feature subsets and their associated weights. These feature weights are then multiplied with normalized feature values and these new values are used to calculate the distance between features
A Case Study of Using Domain Analysis for the Conflation Algorithms Domain
This paper documents the domain engineering process for much
of the conflation algorithms domain. Empirical data on the process and
products of domain engineering were collected. Six conflation
algorithms of four different types: three affix removal, one successor
variety, one table lookup, and one n-gram were analyzed. Products of
the analysis include a generic architecture, reusable components, a
little language and an application generator that extends the scope of
the domain analysis beyond previous generators. The application
generator produces source code for not only affix removal type but
also successor variety, table lookup, and n-gram stemmers. The
performance of the stemmers generated automatically was compared with
the stemmers developed manually in terms of stem similarity, source
and executable sizes, and development and execution times. All five
stemmers generated by the application generator produced more than
99.9% identical stems with the manually developed stemmers. Some of
the generated stemmers were as efficient as their manual equivalents
and some were not
The impact of intimate partner violence on womenâs labour market outcomes
This paper investigates the impact of intimate partner violence on the participation of women in the labour market and their access to employment in the form of being a wage worker, self-employed or unpaid family worker. To address the possibility of endogeneity, especially due to simultaneity, between intimate partner violence and female labour force participation, we use the history of violence, both of the woman and her partner, as instrumental variables. Our results provide evidence that intimate partner violence is associated with an increased probability of a woman participating in the labour market. Further analysis shows that the rent extraction mechanism is the most likely explanation for the positive relationship
3D fracture analysis of concrete under uniaxial tension at the mesoscale
Modeling the structural behavior of concrete has always been an important engineering problem because of the importance and widespread usage of concrete in construction of various structures. Numerical simulations are often used to explore the mechanical behavior of concrete. In this study, the dynamic fracture response of concrete under uniaxial tension is investigated within a three-dimensional computational framework. Most of the efforts for the numerical analysis of concrete in the literature are limited to two-dimensional studies since three-dimensional numerical analyses are computationally expensive, which makes the use of parallel computing vital. Hence, a scalable parallel implementation for the finite-element analysis of concrete specimens is proposed. Concrete is modeled at the mesoscale allowing the representation of first level heterogeneities, namely the modeling of aggregates and mortar paste explicitly using linear elastic continuum finite elements. Crack initiation and propagation are modeled with dynamically inserted cohesive elements. The macroscopic tensile stress-strain response of the specimen is investigated at both prepeak and postpeak strength regions and the results obtained are compared with earlier simulations, which were conducted in two dimensions. Microcrack density and crack percolation in the mesostructure models of both two and three-dimensional setups are compared under different strain rates using cohesive crack maps and dissipated fracture energy
Comparison of the Satisfaction of Students who Use Different Learning Management Systems in Distance Education Processes
This study aims to compare the distance education process and system-related satisfaction of students using different learning management systems (Moodle, Google Classroom). Research samples of this mixed explanatory design comprise a total of 7318 students enrolled in UĆak University for the 2020â2021 academic year. The sample categories include 3294 students using Moodle and 3332 utilizing Classroom system besides the 692 students who experienced both environments. Research data were collected by a questionnaire, semi-structured interview form and system log records. At the end of the six-week application process, a distance education process satisfaction questionnaire was applied to the students with the experience in both education software and their opinions were obtained. The results regarding the sample including students with experience on both software tools indicate the students using Classroom have higher satisfaction levels in the distance education process in system infrastructure, online lecture system, assessment, and evaluation dimensions than the ones using Moodle. The qualitative data collected from the interview form hints at problems the students experienced in the synchronous- asynchronous, test and assessment systems of the Moodle system which reduced their satisfaction
Metal complexes of saccharin and thiosaccharin as potential anticancer and antimicrobial agents
Acknowledgements The support provided by our universities (KTU, EOGU and UA) in accessing scientific databases (WOS, Scopus, SciFinder and CCDC) was greatly appreciated.Peer reviewe
The effect of smoking on cardiac diastolic parameters including Vp, a more reliable and newer parameter
Background: Previous studies have focused mainly on the acute effects of smoking on the
diastolic function of the heart. The present study was conducted to demonstrate the chronic
effects of smoking on the diastolic functional parameters of the heart, including transmitral
M- mode coloured flow propagation velocity (Vp), among relatively younger asymptomatic adults.
Method: Hundred smokers with histories of incessant smoking for at least one year prior to the
time of the investigation were included in the prospectively designed study as group I. Group II
consisted of 35 non-smokers, matched for age and gender. Addiction to smoking was graded
according to the modified Fagerström test for nicotine dependence (M-FNDT). Each smoker
was designated by a nicotine dependence index (NDI) according to the M-FNDT. Groups I
and II were compared with respect to major diastolic functional parameters on transthoracic
echocardiography (TTE), including the E/A ratio, deceleration time (DT), isovolumic relaxation
time (IVRT) and Vp, along with basic clinical and echocardiographic parameters.
Results: Thirty one smokers in group 1 and 5 non-smokers in group 2 were excluded from the study
according to the pre-defined exclusion criteria. Therefore 69 smokers (mean age: 30 ± 4.9 years,
M/F: 32/37) in group I were compared with 30 non-smokers (mean age: 31.4 ± 4.8 years,
M/F: 15/15) in group II. In group I the mean values of E/A and Vp were significantly lower
(p < 0.001), whereas the mean values of IVRT and DT were significantly higher (p < 0.001)
than in group II. In group I the value of NDI was positively correlated with the values of DT
and IVTR (p < 0.001) and negatively correlated with the value of Vp (p < 0.001).
Conclusion: Conventional and relatively new parameters of cardiac diastolic function, in
particular Vp, were found to be impaired in smokers demonstrating the chronic adverse effects
of smoking on the diastolic function of the heart. The severity of this impairment was closely
correlated with the degree of addiction to smoking. (Cardiol J 2007; 14: 281-286
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