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The genome of the extremophile crucifer Thellungiella parvula
Dassanayake, Maheshi,Oh, Dong-Ha,Haas, Jeffrey S,Hernandez, Alvaro,Hong, Hyewon,Ali, Shahjahan,Yun, Dae-Jin,Bressan, Ray A,Zhu, Jian-Kang,Bohnert, Hans J,Cheeseman, John M Nature Publishing Group, a division of Macmillan P 2011 Nature genetics Vol.43 No.9
Thellungiella parvula is related to Arabidopsis thaliana and is endemic to saline, resource-poor habitats, making it a model for the evolution of plant adaptation to extreme environments. Here we present the draft genome for this extremophile species. Exclusively by next generation sequencing, we obtained the de novo assembled genome in 1,496 gap-free contigs, closely approximating the estimated genome size of 140 Mb. We anchored these contigs to seven pseudo chromosomes without the use of maps. We show that short reads can be assembled to a near-complete chromosome level for a eukaryotic species lacking prior genetic information. The sequence identifies a number of tandem duplications that, by the nature of the duplicated genes, suggest a possible basis for T. parvula's extremophile lifestyle. Our results provide essential background for developing genomically influenced testable hypotheses for the evolution of environmental stress tolerance.
BENEFITS AND CHALLENGES OF CONTROLLING A LED AFS (ADAPTIVE FRONT-LIGHTING SYSTEM) USING FUZZY LOGIC
L. LUKACS,M. DASSANAYAKE,R. MAGALHAES,C. FONTES,M. EMBIRUCU,I. M. PEPE 한국자동차공학회 2011 International journal of automotive technology Vol.12 No.4
The vehicular illumination system has undergone considerable technological advances in recent decades such as the use of a Light Emitting Diode (LED) Adaptive Front-lighting System (AFS), which represents an industry breakthrough in lighting technology and is rapidly becoming one of the most important innovative technologies around the world in the lighting community. This paper presents AFS control alternatives using fuzzy logic (types 1 and 2) to determine its operating parameters taking into consideration the road conditions in the state of São Paulo (Brazil). Fuzzy logic is a well-known extension of the conventional (Boolean) logic that enables the treatment of uncertainty present in the information through the definition of intermediary membership values between the “completely true” and the “completely false”. This technique or modeling strategy is particularly important when a multi-parameter decision must be taken or the decisions are based on the human knowledge. The results show the potential of the methodology proposed and its suitability for light control providing safer nighttime driving.