Response Surface Methodology (RSM) was employed to optimise LIBS analysis of single crystal silicon at atmospheric pressure and under vacuum conditions (pressure ~10mbar). Multivariate analysis software (StatGraphics 5.1) was used to design and analyse several multi-level, full factorial RSM experiments. A Quality Factor (QF) was conceived as the response parameter for the experiments, represen...

In the last tenyears, the use andapplications ofmathematicalmodellinghave increased inchemistry and food science and technology. However, it is still common to find researchers using the ‘one at a time’ approach to test and select variables to develop and optimize products and processes. In this regard, the objectives of this review are to provide some statistical information related to mathema...

materials and methods phe degrading bacteria were isolated from surface sediments. isolated strains were then identified by biochemical and molecular (16s rdna gene sequence) analysis. rsm was employed to evaluate the optimum biodegradation of phe by the most effective isolated strain. the investigated parameters included the temperature, inoculum sizes, ph, nh4cl concentration, and salinity. o...

In the Bayesian approach to ill-posed inverse problems, regularization is imposed by specifying a prior distribution on the parameters of interest and Markov chain Monte Carlo samplers are used to extract information about its posterior distribution. The aim of this paper is to investigate the convergence properties of the random-scan random-walk Metropolis (RSM) algorithm for posterior distrib...

The main aim of this research is to assess the performance risk-appetite discriminated investors in PSX listed fertilizers industry, using RSM and non-RSM, maximize their portfolios' wealth. period (18 November 2015-June 30, 2021) well characterized by presence two distinct volatility-related bull-regime bear-regime, it divided into groups: in-sample out-sample. Throughout out-sample time, diff...

Traditionally, optimization in biological analyses has been carried out by monitoring the influence of one factor at a time; this technique is called one-variable-at-a-time. The disadvantage of this technique is that it does not include any interactive effects among the variables studied and requires a large number of experiments. Therefore, in recent years, the Response Surface Methodology (RS...

Kitchen wastes containing high amounts of carbohydrates have potential as low-cost substrates for fermentable sugar production. In this study, enzymatic saccharification of kitchen waste was carried out. Response surface methodology (RSM) was applied to optimize the enzymatic saccharification conditions of kitchen waste. This paper presents analysis of RSM in a predictive model of the combined ...

Statistical analysis techniques Experiment Design (ED) and Response-Surface-Method (RSM) have traditionally been employed to conduct and analyse real-world experiments. ' ED and RSM provide a systematic and efficient framework for conducting a minimum number of experiments while gaining a maximum amount of information from the experimental results. Recently, ED and RSM have been applied to comp...

In schistosomiasis mansoni, hepatic granulomatous inflammation surrounding parasite eggs is mediated by CD4(+) T helper (Th) cells sensitized to schistosomal egg antigens (SEA). We previously showed that a prominent lymphoproliferative response of CD4(+) Th cells from schistosome-infected C57BL/6 (BL/6) mice was directed against a 62-kDa component of SEA. A partial amino acid sequence of the 62...