In a highly competitive medical industry, hospitals can continue to create values and advantages using data mining technologies identify patients’ needs provide the services needed by various patients. This research focuses on outpatients in center Taiwan adopts recency, frequency, monetary (RFM) model, self-organizing maps, K-means method construct set of exploration procedures so that hospita...

Synthetic biology constructs often rely upon the introduction of “circuit” genes into host cells, in order to express novel proteins and thus endow with a desired behavior. The expression these new “consumes” existing resources cell, such as ATP, RNA polymerase, amino acids, ribosomes. Ribosomal competition among strands mRNA may be described by system nonlinear ODEs called Flow Model (RFM). fo...

The stochastic trajectory-based (Lagrangian) approach has gained increasing importance and sophistication in atmospheric transport and dispersion modelling over the last few decades. State-of-the-art Lagrangian particle dispersion model (LPDMs) are used to compute trajectories of a large number of ‘marked’ particles and numerically simulate the dispersion of a pollutant (passive tracer) in the ...

Translation is a crucial step in gene expression. During translation, macromolecules called ribosomes “read” the mRNA strand in a sequential manner and produce a corresponding protein. Translation is known to consume most of the cell’s energy. Maximizing the protein production rate in mRNA translation, subject to the bounded biomolecullar budget, is thus an important problem in both biology and...

A Doyle–Fuller–Newman (DFN) model for the charge and discharge of nano-structured lithium iron phosphate (LFP) cathodes is formulated on basis that transport within nanoscale LFP electrode particles much faster than cell discharge, therefore not rate limiting. We present some numerical solutions to show relevant parameter values, a variety C-rates, it possible sharp fronts form intrude into fro...

in today's competitiveenvironment, customers are the most important asset to any company. therefore,in order to retain customers, it is essential to understandtheirbehaviour for developing effective strategies. one of the most commonmethods for customer analysis is market segmentation that helps companies todevelop marketing technique by dividing market into several smaller homogeneousgrou...

In this paper, a mathematical programming model is presented for integrated problem of closed loop supply chain network design and supplier selection. The suppliers  propose discount policy based on purchase amount and loyalty of buyers which are both taken from the elements of RFM (Recency, Frequency and Monetary) technique. The main objective of this paper which is formulated by a mixed-integ...

This paper deals with an overview of predictive modeling approaches adopted by marketers to identify segments in the target market which would have the largest response rates pertaining to a certain product or service being offered. The three approaches in the predictive modeling, which have been discussed are Heuristic approach, Statistical approach and Data Mining approach. However, with refe...

During this pandemic, the number of customers a securities company has increased quite high. This requires companies to conduct analysis related security customer data against transaction so that can find out segmentation registered and also predict patterns in company. In processing data, RFM (Recency, Frequency, Monetary) model be used as way group according their business values. After doing...