a r t i c l e i n f o Keywords: Customer response predictive model Knowledge-based marketing RFM Neural networks Decision tree models Logistic regression Decision support techniques and models for marketing decisions are critical to retail success. Among different marketing domains, customer segmentation or profiling is recognized as an important area in research and industry practice. Various ...

In this paper, we compare the geometrical performance between the rigorous sensor model (RSM) and rational function model (RFM) in the sensor modeling of FORMOSAT-2 satellite images. For the RSM, we provide a least squares collocation procedure to determine the precise orbits. As for the RFM, we analyze the model errors when a large amount of quasi-control points, which are derived from the sat...

Social play and tolerance are positively correlated and playful signals are more freely expressed in egalitarian than in despotic species. Macaque species are organized along a continuum from intolerant to tolerant social systems and, for this reason, they are good models to test some hypotheses about the possible linkage between communication and tolerance. We compared facial playful communica...

INTRODUCTION At present there are no reliable non-traumatic and non- invasive methods to analyse the healing process and loosening status after total hip replacement. Therefore early as well as late loosening of prosthesis and interface component problems are difficult to be found or diagnosed at any time. METHODS In a cadaver study the potential application of Resonance Frequency Monitoring ...

In this paper, we try to validate existing theory on and develop additional insight into repeat-purchase behavior in a direct marketing setting by means of an illuminating case study. The case involves the detection and qualification of the most relevant RFM (Recency, Frequency and Monetary) variables, using a neural network wrapper as our input pruning method. Results indicate that elimination...

We describe the first large scale analysis of gene translation that is based on a model that takes into account the physical and dynamical nature of this process. The Ribosomal Flow Model (RFM) predicts fundamental features of the translation process, including translation rates, protein abundance levels, ribosomal densities and the relation between all these variables, better than alternative ...

Amplitude-weighted mean velocity from continuous wave (CW) Doppler spectra was used to measure aortic flow (QAo) and left ventricular mitral inflow (QLVin). These flows were used to quantify mitral regurgitation fraction: RFm = (QLVin-QAo).QLVin-1.100(%).QLVin was calculated from the diastolic time integral of amplitude-weighted mean velocity that was derived from CW spectra with the transducer...

A class of rifampin-resistant (rfm) mutations of Bacillus subtilis suppresses the temperature-sensitive sporulation of a fusidic acid-resistant mutant. FUS426, which has an altered elongation factor G. The rfm mutation suppressed only the sporulation defect caused by the elongation factor G mutation, but could not suppress other types of induced sporulation defects. Genetic and biochemical anal...

Poly(ADP-ribose) glycohydrolase (PARG) is the enzyme which degrades poly(ADP-ribose) polymers synthesized by poly(ADP-ribose) polymerase (PARP). Both enzymes are activated in response to different stimuli like oxidative stress and are involved in DNA repair processes. The retention of bovine foetal membranes (RFM) is supposed to be connected with oxidative stress conditions. The aim of the stud...

The objective of this study was to determine the effect of a calcium-energy supplement at calving on the incidence of calving-related disorders (CRD), fertility, BCS and milk yield in cows fed anionic diets and to establish any associations among outcome variables. In Florida, from October to December 1997, 479 cows were assigned to three groups and treated at calving as follows: Group 1: 160 n...