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100 results for “response relation”
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Research ArticleOpen accessIn the abstractIntegration of Electrical and Electromagnetic Investigation for Contaminated SiteAlberto Godio, Mario NaldiProblem statement: The environmental assessment of industrial areas is required to minimize the risk of soil and groundwater contamination. The survey of wide areas (e.g., some hectares) provides a high economical and complex logistical impact when random strategies of soil sampling are adopted. Recently, geophysical methods had been successfully adopted to drive the process of the spatial sampling of the … …American Journal of Environmental Sciences, Vol. 5, Issue 4 · 31 Aug 2009 · 7,163 accessesView PDFCite
Research ArticleOpen accessIn the abstractWeighted Semi-Blind Channel Identification by Cross Relation MethodMohamed Tahar Taba, S. FemmamProblem statement: The bandwidth efficiency of many communication systems could be improved if the transmission channel was estimated blindly without resort to training sequences. GMSK was a spectrum-efficient modulation scheme and it was adopted as the modulation standard of GSM systems. Approach: However, because of its phase modulation, Gaussian filtering and partial response signalling properties, Results: The simulation results showed … …American Journal of Applied Sciences, Vol. 6, Issue 6 · 30 Jun 2009 · 6,891 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Artificial Neural Networks in Analysis Cationic Trypsinogen Gene and Hepatitis B Surface AntigenLiu Qicai, Zeng Kai, Zhuang Zehao et al.Problem statement: More and more severe hepatitis cases reported in China are infected with HBV and the immune response of HBV will be reduced if mutations occur in the TCR, therefore it is very important to investigate the relation of T-cellular function and clinical effect by studying the function of T-cell receptor. Approach: Artificial Neural Networks (ANN) was applied to … …American Journal of Immunology, Vol. 5, Issue 2 · 30 Apr 2009 · 7,564 accessesView PDFCite
Research ArticleOpen accessIn the abstractAmphoteric Starch in Simultaneous Process Preparation with Box-Behnken Design for Optimal ConditionsSopa Cansee, Juntanee Uriyapongson, Commueng Watyotha et al.Cassava starch was chemically modified to produce an amphoteric starch. The amphoteric starch was prepared in a simultaneous process which was evaluated in relation to four factors: temperature (45-55 °C), 3-chloro-2-hydroxypropyltrimethylammonium chloride (CHPTAC, 4-12%) and sodium tripolyphosphate (STP, 2-8%) concentrations, and reaction time (2-6 h). The extent of amphoteric starch produced was determined by the degree of substitution (DS) of … …American Journal of Applied Sciences, Vol. 5, Issue 11 · 30 Nov 2008 · 7,523 accessesView PDFCite
Research ArticleOpen accessIn the abstractHormetic and Non-Hormetic Dose-Response Functions in Stress Effects on Memory and Synaptic Plasticity: Issues and MechanismsPhillip R. Zoladz, David M. DiamondOver a century of behavioral research has shown that stress can exert both positive and negative effects on memory. We have explored the idea that the complex effects of stress on learning and memory can be characterized by hormetic- and non-hormetic dose-response functions, in which stress may either stimulate or impair brain memory mechanisms, depending, in part, on the timing … …American Journal of Pharmacology and Toxicology, Vol. 3, Issue 1 · 31 Mar 2008 · 8,184 accessesView PDFCite
Research ArticleOpen accessIn the abstractCortisol Response Mediates HIV-1-Related Cognitive Deficits Among Injecting Drug AbusersRaymond L. Ownby, Drenna Waldrop-Valverde, Adarsh M. Kumar et al.The cortisol response is an important measure of the endocrine activity to environmental challenges and has been related to cognitive function and mood. Previous studies have shown that the cortisol response to stress is dysregulated in persons with HIV-1 infection. Since cortisol is neurotoxic and its levels have been related to cognitive dysfunction in various disorders, it is possible that … …American Journal of Infectious Diseases, Vol. 2, Issue 2 · 30 Jun 2006 · 6,759 accessesView PDFCite
Research ArticleOpen accessIn the abstractPower Prediction Model for Milling 618 Stainless Steel Using Response Surface MethodologyK. Kadirgama, K. A. Abou-El-HosseinThis study discussed the development of the first and second order power prediction model for milling 618 stainless steel with coated carbides cutting tool. The first and second order model has been developed by using response surface methodology with 4 factors. The surface methodology has been analysis by using statistical software Minitab. From the model the equation that relates the … …American Journal of Applied Sciences, Vol. 2, Issue 7 · 31 Jul 2005 · 7,085 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Empirical Analysis of Supply Response of Rubber in MalaysiaGhulam Mustafa, Ismail Abd Latif, Henry EgwumaSupply response of rubber to changes in economic incentives is analysed using co-integration approach. Time series data is taken for the period 1990 to 2014 and the vector error correction model framework has been applied. The empirical results confirmed the existence of a unique long-run equilibrium relationship among planted acreage, the relative price of rubber and price of fertilizer. Further, … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 4 · 25 Nov 2016 · 7,493 accessesView PDFCite
Research ArticleOpen accessIn the abstractGAUSSIAN COPULA MARGINAL REGRESSION FOR MODELING EXTREME DATA WITH APPLICATIONSutikno, Heri Kuswanto, Iis Dewi RatihRegression is commonly used to determine the relationship between the response variable and the predictor variable, where the parameters are estimated by Ordinary Least Square (OLS). This method can be used with an assumption that residuals are normally distributed (0, σ2). However, the assumption of normality of the data is often violated due to extreme observations, which are often found … …Journal of Mathematics and Statistics, Vol. 10, Issue 2 · 4 Apr 2014 · 7,620 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn Multiresponse Semiparametric Regression ModelSri Haryatmi, I. Nyoman Budiantara, Wahyu WibowoThe modeling between predictors and response in statistics sometimes deals with more than one response or multiresponse situation. Furthermore, it can be happen that some predictors have linear relationship with the responses and the others predictor have unknown relationship. To overcome this modeling problem we proposed multiresponse semiparametric regression model. This model has more than one response and contains both … …Journal of Mathematics and Statistics, Vol. 8, Issue 4 · 20 Feb 2013 · 7,068 accessesView PDFCite