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112 articles for “Influence Function”
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EditorialOpen accessIn the abstractChasing the Fat Demon: Fat Chance, Buddy?David L. Katz, Joachim Storsberg, Christian SchmidtScience is an interesting profession. At times, one could get caught up in his or her own world of thoughts, perception, far away from reality, sometimes referred to as the proverbial ivory tower (Lederberg, 1972). Science for the sake of science is, per se, not without merit, with our fragmented understanding of a given issue providing ample justification for experimentation … …American Journal of Immunology, Vol. 13, Issue 2 · 29 May 2017 · 8,134 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Influence of Local Wisdom on the Actualisation of Educative, Scientific and Religious Behaviour on anAcademic Environment in a UniversityEdi Suryadi, KusnendiThis paper examines the influence of local wisdom on academic environment in an Institution of higher education. The Sundanese values have been used as a case in point to examine how culture, scientific and religious values can influence educationwithin an academic society. In Sundanese culture, we find patterned intellectual and moral creativity which contains a system ofmoral values and norms … …American Journal of Applied Sciences, Vol. 13, Issue 4 · 2 May 2016 · 7,508 accessesView PDFCite
InvestigationOpen accessIn the abstractBackpropagation Vs. Radial Basis Function Neural Model: Rainfall Intensity Classification For Flood Prediction Using Meteorology DataSoo See Chai, Wei Keat Wong, Kok Luong GohRainfall is one of the important weather variables that vary in space and time. High mean daily rainfall (>30 mm) has a high possibility of resulting in flood. Accurate prediction of this variable would save human lives and properties. Soft computing methods have been widely applied in this field. Among the various soft computing methods, Artificial Neural Network (ANN) is … …Journal of Computer Science, Vol. 12, Issue 4 · 15 Apr 2016 · 8,705 accessesView PDFCite
Research ArticleOpen accessIn the abstractMETHODS OF COMPLEX OBJECT'S TRANSFER FUNCTION CALCULATION FOR DISTRIBUTED CONTROL SYSTEMAlexander V. Martirosyan, Karina V. Martirosyan, Eduard G. YanukyanOne of the ways of solving the stable operation mode of the mineral water field's setting problem is the development and implementation of the hydromineral recourses distributed control system. In this article the consideration of the control system's development on the basis of regulator synthesis approach is offered. The purpose of this study is to present a technique of the … …Journal of Mathematics and Statistics, Vol. 10, Issue 3 · 9 Oct 2014 · 6,749 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Ecotourism Travel Risk on Word-of-Mouth: Via Fuzzy Set PerspectiveFangyi Liu, Cheng-Hsi Fang, Hsueh-Lan Chan, Tom Meng-Yen LinBecause of the subjective cognition on Word-Of Mouth (WOM) influence and the fuzziness on perceived-risk judgment, perceived risk in WOM Influence is a venture variable, which cannot be measured directly. The aim of this study is to define the mathematics meaning of the influence and develop a new fuzzy set method to build the influence membership function to exactly measure … …American Journal of Applied Sciences, Vol. 10, Issue 5 · 31 May 2013 · 7,143 accessesView PDFCite
Research ArticleOpen accessIn the abstractMelanoma-Associated Suppression of the Dendritic Cell Lines DC2.4 and JawsiiKristian Michael Hargadon, Yonathan Tarekegne Ararso, Osric Anthony Forrest, Chad Mason HarteDendritic cells function as potent regulators of both innate and adaptive immunity to tumors and the regulatory activities of these cells are tightly linked to their maturation and activation status. Despite the critical role played by dendritic cells in the induction of anti-tumor immune responses, the number of dendritic cells that can be isolated from experimental animals is limiting and … …American Journal of Immunology, Vol. 8, Issue 4 · 3 Nov 2012 · 9,559 accessesView PDFCite
Research ArticleOpen accessIn the abstractSwarm-Based Feature Selection for Handwriting IdentificationSiti Zaiton Mohd Hashim, Khaled Mohammed Bin AbdlProblem statement: Handwriting identification is the study for identifying or verifying the writer of a given handwritten document. Since the handwriting features are the cornerstone in the writers' classification process, the classifier accuracy is sensitive in terms of how the writers are scored based on the used features. Approach: In this study, we introduced swarm intelligence as a features weighting … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 7,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting Gold Prices Using Multiple Linear Regression MethodZ. Ismail, A. Yahya, A. ShabriProblem statement: Forecasting is a function in management to assist decision making. It is also described as the process of estimation in unknown future situations. In a more general term it is commonly known as prediction which refers to estimation of time series or longitudinal type data. Gold is a precious yellow commodity once used as money. It was made … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 11,091 accessesView PDFCite
Research ArticleOpen accessIn the abstractBridging from Cells to Cognition in Autism Pathophysiology: Biological Pathways to Defective Brain Function and PlasticityMatthew P. Anderson, Brian S. Hooker, Martha R. HerbertWe review evidence to support a model where the disease process underlying autism may begin when an in utero or early postnatal environmental, infectious, seizure, or autoimmune insult triggers an immune response that increases reactive oxygen species (ROS) production in the brain that leads to DNA damage (nuclear and mitochondrial) and metabolic enzyme blockade and that these inflammatory and oxidative … …American Journal of Biochemistry and Biotechnology, Vol. 4, Issue 2 · 30 Jun 2008 · 17,455 accessesView PDFCite
Research ArticleOpen accessIn the abstractVulnerability Assessment of Power System Using Radial Basis Function Neural Network and a New Feature Extraction MethodAhmed M.A. Haidar, Azah Mohamed, Aini HussainVulnerability assessment in power systems is important so as to determine how vulnerable a power system in case of any unforeseen catastrophic events. This paper presents the application of Radial Basis Function Neural Network (RBFNN) for vulnerability assessment of power system incorporating a new proposed feature extraction method named as the Neural Network Weight Extraction (NNWE) for dimensionality reduction of … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,153 accessesView PDFCite