Irrigation water management is crucial for agricultural production and livelihood security in many regions and countries throughout the world. Over the past decades, controversial and conflictladen water-allocation issues among competing municipal, industrial and agricultural interests have raised increasing concerns. Particularly, growing population, varying natural conditions and shrinking wa...

SUMMARY The aim of this research is the efficient cryptanalysis of the Shrinking Generator through its characterization by means of Linear Hybrid Cellular Automata. This paper describes a new known-plaintext attack based on the computation of the characteristic polynomials of sub-automata and on the generation of the Galois field associated to one of the Linear Feedback Shift Registers componen...

The Dantzig selector (Candes and Tao, 2007) is a new approach that has been proposed for performing variable selection and model fitting on linear regression models. It uses an L1 penalty to shrink the regression coefficients towards zero, in a similar fashion to the Lasso. While both the Lasso and Dantzig selector potentially do a good job of selecting the correct variables, several researcher...

A new monoclonal antibody to epithelial membrane antigen (EMA) E29. A comparison of its immunocytochemical reactivity with polyclonal anti-EMA antibodies and with another monoclonal antibody, HMFG-2. Summary Two polyclonal rabbit antibodies to epithelial membrane antogen (EMA), two mouse monoclonal antibodies (E29 and HMFG-2), and a "cocktail" of these two monoclonals have been compared using a...

In this paper we give a motivation for the shrinking rate 1/ √ n: Let p0 and qn be the outlier probability under the ideal model, and some member of a neighborhood about this ideal model of radius rn, respectively. Assuming n i.i.d. observations, the critical rate of rn may be de ned such that the minimax test for outlier probability qn = p0 vs. qn > p0 has asymptotic error probabilities bounde...

We define and study a new approach to the implementability of timed automata, where the semantics is perturbed by imprecisions and finite frequency of the hardware. In order to circumvent these effects, we introduce parametric shrinking of clock constraints, which corresponds to tightening these. We propose symbolic procedures to decide the existence of (and then compute) parameters under which...

Fisheries scientist David Conover, dean and director of the Marine Sciences Research Center at SUNY Stony Brook, is leading the most extensive laboratory study to date on the effects of size-selective harvesting in fish stocks. As described in Scientific American magazine, he and his team mimicked fishing by removing 90 percent of the largest fish from a lab population of Atlantic Siversides (M...

The intention of this article is to investigate the impact slip MHD stagnation point flow over a permeable shrinking/stretching sheet with double stratification in porous medium. Employing appropriate similarity transformations and non-dimensional variables, governing partial differential equations were reduced into set nonlinear ordinary equations. These solved using shooting method influence ...

The organogenesis and differentiation of striated tail musculature in Xenopus laevis (Amphibia, Anura) are an effective experimental model for studies on muscular dystrophy pathogenesis induced by oxidative stress [1]. Stage 37/38 embryo histopathological diagnosis reveals myoblasts with defects in contractile apparatus mainly localized at cell extremities and, in stage 47 larvae, myocyte myofi...

In this paper, we present continuous research on data analysis based on our previous work on the shrinking approach. Shrinking[2] is a novel data preprocessing technique which optimizes the inner structure of data inspired by the Newton’s Universal Law of Gravitation[1] in the real world. It can be applied in many data mining fields. Following our previous work on the shrinking method for multi...