Multivariate adaptive regression splines (MARS) has been adopted as a popular surrogate function to model the unknown relationships between input and output variables in complex systems. Searching optimal solutions on complicated response surface of MARS serves important tasks various applications. In this paper, we present an efficient effective approach find global value models that incorpora...

This paper introduces a novel hybrid approach, combining machine learning algorithms with feature selection, for efficient modelling and forecasting of complex phenomenon governed by multifactorial nonlinear behaviours, such as crop yield. We have attempted to harness the benefits soft computing algorithm multivariate adaptive regression spline (MARS) selection coupled support vector (SVR) arti...

AIM The aim of this study was to assess the effects of the molecular absorbent recirculating system (MARS) on patients with acute liver failure (ALF) and liver failure with cirrhosis (AoCLF) as well as in cholestatic patients with intractable pruritus in a Mexican population. MATERIAL AND METHODS From August 2003 to December 2011, MARS was used in 38 patients with ALF, 15 patients with AoCLF,...

Multivariate adpative regression splines (MARS) provide a flexible statistical modeling method that employs forward and backward search algorithms to identify the combination of basis functions that best fits the data and simultaneously conduct variable selection. In optimization, MARS has been used successfully to estimate the unknown functions in stochastic dynamic programming (SDP), stochast...

Matrix attachment regions (MARs) can be operationally defined as DNA fragments that bind to the nuclear matrix. We have created a library of randomly obtained MARs from tobacco (Nicotiana tobacum) by cloning DNA fragments that co-isolate with nuclear matrixes prepared by a method involving lithium diiodosalicylate. The interactions of several of the cloned MARs with nuclear matrixes were tested...

[1] The objectives of the Mars Reconnaissance Orbiter (MRO) Radio Science Gravity Investigation are to improve knowledge of the static structure and characterize the temporal variability of the Martian gravitational field relevant to the planet’s internal dynamics, the structure and dynamics of the atmosphere, and the orbital evolution of spacecraft at Mars. The investigation will utilize range...

The most popular form of arti cial neural network, feedforward networks with sigmoidal activation functions, and a new statistical technique, multivariate adaptive regression splines (MARS) can both be classi ed as nonlinear, nonparametric function estimation techniques, and both show great promise for tting general nonlinear multivariate functions. In comparing the two methods on a variety of ...

The Viking mission was the only mission to date that conducted life detection experiments. It revealed ambiguous and still controversial results. New findings and hypotheses urge a re-evaluation of the Viking results and a re-evaluation of the evidence for the possible presence of life on Mars in general. Recent findings of abundant water ice on Mars, the presence of liquid contemporary water o...

The Arabidopsis thaliana genome is currently being sequenced, eventually leading towards the unravelling of all potential genes. We wanted to gain more insight into the way this genome might be organized at the ultrastructural level. To this extent we identified matrix attachment regions demarking potential chromatin domains, in a 16 kb region around the plastocyanin gene. The region was cloned...

Introduction: In future human exploration of Mars, many challenges face us. Mars is a dusty planet and dust and windblown particulates will present one of the most significant difficulties [1]. The dust and granular regolith will challenge materials, machines, and people. Our experience with dust-covered astronauts on the Moon and with landers and rovers on Mars suggests that significant effort...