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Search Results: 1 - 10 of 260 matches for " Bafétigué Ouattara "
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DFT Study, Linear and Nonlinear Multiple Regression in the Prediction of HDAC7 Inhibitory Activities on a Series of Hydroxamic Acids  [PDF]
Doh Soro, Lynda Ekou, Bafétigué Ouattara, Mamadou Guy-Richard Kone, Tchirioua Ekou, Nahossé Ziao
Computational Molecular Bioscience (CMB) , 2019, DOI: 10.4236/cmb.2019.93006
Abstract: In this work, we conducted a QSAR study on 18 molecules using descriptors from the Density Functional Theory (DFT) in order to predict the inhibitory activity of hydroxamic acids on histone deacetylase 7. This study is performed using the principal component analysis (PCA) method, the Ascendant Hierarchical Classification (AHC), the linear multiple regression method (LMR) and the nonlinear multiple regression (NLMR). DFT calculations were performed to obtain information on the structure and information on the properties on a series of hydroxamic acids compounds studied. Multivariate statistical analysis yielded two quantitative models (model MLR and model MNLR) with the quantum descriptors: electronic affinity (AE), vibration frequency of the OH bond (ν(OH)) and that of the NH bond (ν(NH)). The LMR model gives statistically significant results and shows a good predictability R2 = 0.9659, S = 0.488, F = 85 and p-value < 0.0001. Electronic affinity is the priority descriptor in predicting the activity of HDAC7 inhibitors in this study. The results obtained suggest that the descriptors derived from the DFT could be useful to predict the activity of histone deacetylase 7 inhibitors. These models were evaluated according to the criteria of Tropsha et al.
Public Expenditure Contribution to Pro-Poor Growth in Cote D’Ivoire: A Micro Simulated General Equilibrium Approach  [PDF]
Wautabouna Ouattara
Modern Economy (ME) , 2012, DOI: 10.4236/me.2012.33043
Abstract: The purpose of the present study is to analyze the public expenditure contribution to the improvement of the profitable economic growth to the poor in Cote d’Ivoire. The paper tried to show out the explanatory power of the government actions concerning the poor populations’ well-being. This reflection is based on a micro simulated general equilibrium analysis with the data provided by the national institute of the statistical (INS). These data are obtained from the investigations achieved on the households’ level of the lives. The results of the study suggest that the Ivorian authorities contributed meaningfully to the reduction of poverty severity. In other words, the poor benefited from fruits of the economic growth induced by the public investments.
Endogenous Choice of Managerial Incentives in a Mixed Duopoly with a Foreign Private Firm  [PDF]
Kadohognon Sylvain Ouattara
Theoretical Economics Letters (TEL) , 2016, DOI: 10.4236/tel.2016.62029
Abstract: This paper studies the endogenous choice of managerial incentives in a mixed duopoly where a public firm competes with a foreign private firm. The foreign firm is partly owned by domestic investors and the firm’s owners have the option to hire a manager. We focus on a new incentive scheme of public firm’s managers that is a linear combination of social welfare and sales revenue. In equilibrium we find that when the weight attached to the foreign firm’s profits in social welfare is high enough, only the public firm hires a manager. This is in contrast with the classical sales delegation contract used in existing literature.
Quantum Chemistry Prediction of Molecular Lipophilicity Using Semi-Empirical AM1 and Ab Initio HF/6-311++G Levels  [PDF]
Ouanlo Ouattara, Nahossé Ziao
Computational Chemistry (CC) , 2017, DOI: 10.4236/cc.2017.51004
Abstract: Reliable prediction of lipophilicity in organic compounds involves molecular descriptors determination. In this work, the lipophilicity of a set of twenty-three molecules has been determined using up to eleven quantum various descriptors calculated by means of quantum chemistry methods. According to Quantitative Structure Property Relationship (QSPR) methods, a first set of fourteen molecules was used as training set whereas a second set of nine molecules was used as test set. Calculations made at AM1 and HF/6-311++G theories levels have led to establish a QSPR relation able to predict molecular lipophilicity with over 95% confidence.
Globalization: an open door for the knowledge economy
Andreea MARIN-PANTELESCU,Gabriela TIGU,Olimpia STATE
Economia : Seria Management , 2009,
Abstract: Globalization refers to an emphasized process of global integration and spreading a set of ideas related to the economical activity and goods’ production, the premises being the liberalization of international commerce and the capital flows, the speeding up of the technological progress and informational society. The cognitive society is more and more obvious and unanimously accepted, which actually proves its efficiency. If traditional, conservative communities, which are not open to change and reject from the start anything new on the horizon, still exist today, they are isolated cases that will eventually be "converted" by this wave of information that has become indispensable to any development because in its absence resources could not be used efficiently. Taking into consideration these elements, this paper wishes to give arguments to the fact that globalization can be seen as being an open door for the cognitive society.
The position of teaching materials on the monitor and its effect on the e-learning success
Janko ?ufi?,Maja Ru?i? Baf,Predrag Zarevski
Journal of Information and Organizational Sciences , 2011,
Abstract: There are various elements in designing e-teaching materials that could have an impact in raising the efficiency of e-learning. This paper is based on the experiments aiming to investigate whether there are certain positions on the monitor in which students are able to better perceive and/or remember e-teaching materials. Our research was carried out at the Juraj Dobrila University of Pula. Participants were first year students attending the teacher education programme (aged 19.5 – 20.5). The research design included two pre-experimental groups and one experimental group. The monitor was virtually divided into 24 zones. Students read the teaching material displayed on the screen; in each reading four texts in different positions were used. The relative ease/difficulty of remembering the text was taken into account by introducing different ponders to each text. Regarding the memory efficiency, our results show statistically significant differences between certain screen positions (these differences ranged from +29.6% to -42.6% from the average result). Keywords: efficient e-learning, text position on the screen
Relationship between geomagnetic classes’ activity phases and their occurrence during the sunspot cycle
Frédéric Ouattara
Annals of Geophysics , 2009, DOI: 10.4401/ag-4634
Abstract: Four well known geomagnetic classes of activity such as quiet days activity, fluctuating activity, recurrent activity and shock activity time occurrences have been determined not only by using time profile of sunspot number Rz but also by using aa index values. We show that recurrent wind stream activity and fluctuating activity occur in opposite phase and slow solar wind activity during minimum phase and shock activity at the maximum phase. It emerges from this study that fluctuating activity precedes the sunspot cycle by π/2 and the latter also precedes recurrent activity by π/2. Thus in the majority the activities do not happen at random; the sunspot cycle starts with quiet days activity, continues with fluctuating activity and during its maximum phase arrives shock activity. The descending phase is characterized by the manifestation of recurrent wind stream activity.
The relationship between fetal biophysical profile and cord blood PH
Valadan M,Moridi M,Davari Tanha F,Rahimi Sher Baf F
Tehran University Medical Journal , 2009,
Abstract: "nBackground: The Biophysical Profile (BPP) is a noninvasive test that predicts the presence or absence of fetal asphyxia and, ultimately, the risk of fetal death in the antenatal period. Intervention on the basis of an abnormal biophysical profile result has been reported to yield a significant reduction in prenatal mortality, and an association exists between biophysical profile scoring and a decreased cerebral palsy rate in a given population. The BPP evaluates five characteristics: fetal movement, tone, breathing, heart reactivity, and amniotic fluid (AF) volume estimation. The purpose of study was to determine whether there are different degree of acidosis at which the biophysical activity (acute marker) are affected. "nMethods: In a prospective study of 140 patients undergoing cesarean section before onset of labor, the fetal biophysical profile was performed 24h before the time of cesarean and was matched with cord arterial PH that was obtained from a cord segment (10-20cm) that was double clamped after delivery of newborn. (using cord arterial PH less than 7.20 for the diagnosis of acidosis). "nResults: The fetal biophysical profile was found to have a significant relationship with umbilical blood PH. The sensitivity, specificity, positive predictive value, negative predictive value of fetal biophysical profile score were: 88.9%, 88.6%, 50%, 98.1%. "nConclusion: The first manifestations of fetal acidosis are nonreactive nonstress testing and fetal breathing loss; in advanced acidemia fetal movements and fetal tone are compromised. A protocol of antepartum fetal evaluation is suggested based upon the individual biophysical components rather than the score alone.
Unsupervised Segmentation Method of Multicomponent Images based on Fuzzy Connectivity Analysis in the Multidimensional Histograms  [PDF]
Sié Ouattara, Georges Laussane Loum, Alain Clément
Engineering (ENG) , 2011, DOI: 10.4236/eng.2011.33024
Abstract: Image segmentation denotes a process for partitioning an image into distinct regions, it plays an important role in interpretation and decision making. A large variety of segmentation methods has been developed; among them, multidimensional histogram methods have been investigated but their implementation stays difficult due to the big size of histograms. We present an original method for segmenting n-D (where n is the number of components in image) images or multidimensional images in an unsupervised way using a fuzzy neighbourhood model. It is based on the hierarchical analysis of full n-D compact histograms integrating a fuzzy connected components labelling algorithm that we have realized in this work. Each peak of the histo- gram constitutes a class kernel, as soon as it encloses a number of pixels greater than or equal to a secondary arbitrary threshold knowing that a first threshold was set to define the degree of binary fuzzy similarity be- tween pixels. The use of a lossless compact n-D histogram allows a drastic reduction of the memory space necessary for coding it. As a consequence, the segmentation can be achieved without reducing the colors population of images in the classification step. It is shown that using n-D compact histograms, instead of 1-D and 2-D ones, leads to better segmentation results. Various images were segmented; the evaluation of the quality of segmentation in supervised and unsupervised of segmentation method proposed compare to the classification method k-means gives better results. It thus highlights the relevance of our approach, which can be used for solving many problems of segmentation.
Analysis of the Relevance of Evaluation Criteria for Multicomponent Image Segmentation  [PDF]
Sié Ouattara, Georges Laussane Loum, Alain Clément, Bertrant Vigouroux
Journal of Software Engineering and Applications (JSEA) , 2011, DOI: 10.4236/jsea.2011.46042
Abstract: Image segmentation is an important stage in many applications such as image, video and computer processing. Generally image interpretation depends on it. The materials and methods used to demonstrate are described. The results are presented and analyzed. Several approaches and algorithms for image segmentation have been developed, but it is difficult to evaluate the efficiency and to make an objective comparison of different segmentation methods. This general problem has been addressed for the evaluation of a segmentation result and the results are available in the literature. In this work, we first presented some criteria of evaluation of segmentation commonly used in image processing with reviews of their models. Then multicomponent synthetic images of known composition are applied to these criteria to explore the operation and evaluate its relevance. The results show that choosing an assessment method depends on the purpose, however the criterion of Zeboudj appears powerful for the evaluation of region segmentations for properly separated classes, on the contrary the criteria of Levine-Nazif and Borsotti are adapted to the methods of classification and permit to build homogeneous regions or classes. The values of the Rosenbeger criterion are generally low and similar, so hard to make a comparison of segmentations with this criterion.
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