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79 articles for “Empirical Models”
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Research ArticleOpen accessIn the abstractInterpretive Perspective of Knowledge Management Stance in Agricultural Knowledge Information System to Fostering Research/Extension LinkageIraj MalekmohammadiProblem statement: Knowledge Management (KM) as a "starter" and Agricultural Knowledge Information System (AKIS) act as an "engine" to sustainable development. Approach: This article explored the role of KM as Agricultural Knowledge Initiative (AKI) to link up agricultural research and extension to foster agricultural development. A dominant-less dominant design was applied to describe the KM and AKIS integration frameworks as … …American Journal of Agricultural and Biological Sciences, Vol. 4, Issue 3 · 30 Sep 2009 · 8,127 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of Learning Styles on Education and the Teaching ProcessIbrahim Yasar KazuProblem statement: It is of great importance that individuals actively participate in the learning process; that, starting from the early ages, their awareness be raised about the efficiency of the learning styles in developing their academic success and self-confidence; and that the learning styles they have be determined. For this reason, this study aimed to reveal the learning styles having … …Journal of Social Sciences, Vol. 5, Issue 2 · 30 Jun 2009 · 17,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractSustainable Regional DevelopmentHelen Theodoropoulou, Roido Mitoula, Malvina VamvakariProblem statement: Demographic changes have increased the social and cultural diversity of tourist areas with historical heritage and natural beauty in Greece, causing an expansion in the cultural and economic horizons of local people and producing at the same time conflicts in their interests, values and lifestyles. This research was focused in the concept of sustainable development in three areas … …Journal of Social Sciences, Vol. 5, Issue 2 · 30 Jun 2009 · 7,668 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputable General Equilibrium Techniques for Carbon Tax ModelingAl-Amin, Chamhuri Siwar, Abdul HamidProblem statement: Lacking of proper environmental models environmental pollution is now a solemn problem in many developing countries particularly in Malaysia. Some empirical studies of worldwide reveal that imposition of a carbon tax significantly decreases carbon emissions and does not dramatically reduce economic growth. To our knowledge there has not been any research done to simulate the economic impact of … …American Journal of Environmental Sciences, Vol. 5, Issue 3 · 30 Jun 2009 · 6,950 accessesView PDFCite
Research ArticleOpen accessIn the abstractModeling of Oxygen Transfer Correlations for Stirred Tank Bioreactor Agitated with Atypical Helical Ribbon ImpellerMohd Shamzi Mohamed, Rosfarizan Mohamad, Ramakrishnan Nagasundara Ramanan et al.Problem Statement: Mixing filamentous fungi entails delicate balance between promoting high volumetric oxygen transfer coefficient (kLa) while keeping low hydrodynamic stresses in the microenvironment of cultures. This study examined the oxygen transfer capability of a prototype low shear helical impeller as a potential replacement for the standard Rushton turbine. Approach: The dependence of kLa upon specific power uptake, superficial gas … …American Journal of Applied Sciences, Vol. 6, Issue 5 · 31 May 2009 · 9,167 accessesView PDFCite
Research ArticleOpen accessIn the abstractVerifying Complex Interaction between Hardware ProcessesKiran Ramineni, Shireesh Verma, Ian G. HarrisProblem statement: Verification of correct functionality of semiconductor devices has been a challenging problem. Given the device fabrication cost, it is critical to verify the expected functionality using simulations of executable device models before a device manufactured. However, typical industrial scale devices today involve large number of interactions between their components. Complexity of verifying all interactions becomes almost intractable even … …Journal of Computer Science, Vol. 5, Issue 2 · 28 Feb 2009 · 6,953 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Generalized Discrete-Time Long Memory Volatility Model for Financial Stock ExchangeChin Wen CheongWe proposed a simple way to combine a few long memory models in financial market volatility modeling using daily, range and high frequency data. This model was able to fit the return, range of daily return or realized volatility under a parametric heavy-tailed distribution. Model was flexible to include additional volatility information as the contemporaneous variables. Empirical results found that … …American Journal of Applied Sciences, Vol. 4, Issue 12 · 31 Dec 2007 · 6,869 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Linear Programming Problems on the Parallel Virtual Machine EnvironmentJrJung Lyu, Hsing Luh, Ming-Chang LeeThis study developed a parallel algorithm to efficiently solve linear programming models. The proposed algorithm utilizes the Dantzig-Wolfe Decomposition Principle and can be easily implemented in a general distributed computing environment. The analytical performance of the well-known method, including the speedup upper bound and lower bound limits, was derived. Numerical experiments are also provided in order to verify the complexity … …American Journal of Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2004 · 7,837 accessesView PDFCite
Research ArticleOpen accessIn the abstractSuppression of Instabilities and Stochastic Pulsation at Laser-Plasma Interaction by Beam SmoothingFrederick Osman, Heinrich HoraThe key problem of direct drive laser fusion is the appearance of parametric instabilities, stochastic pulsation, self-focusing (filamentation) and other anomalies. During the long years studies, the empirical and intuitively developed methods for smoothing of the laser beam were rather successful but a transparent understanding of the physics has still to be found. The first theory how the instabilities are … …American Journal of Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2004 · 6,796 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEpileptic Seizure Detection from EEG Signal Using Progressive Channel Selection and Deep LearningSuraiya Akter Mumu, Shupta Das, M. A. H. Akhand et al.Epileptic Seizures (ES), marked by abrupt abnormal electrical discharges in the brain, represent the primary symptom of epilepsy, making timely and accurate detection critical because of their unpredictable recurrence and potentially severe consequences. The Electroencephalogram (EEG), a widely used, non-invasive, and economical method for monitoring brain activity, plays a key role in automated ES detection through Machine Learning (ML) and … …Journal of Computer Science, Vol. 22, Issue 6 · 8 Jul 2026 · 1,393 accessesView PDFCite