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Analysis and geometry on worm domains  [PDF]
Steven G. Krantz,Marco M. Peloso
Mathematics , 2007,
Abstract: We describe recent work on the Bergman kernel of the (non-smooth) worm domain in several complex variables. An asymptotic expansion is obtained for the Bergman kernel. Mapping properties of the Bergman projection are studied. Irregularity properties of the kernal at the boundary are established. This is an expository paper, and considerable background is provided. Discussion of the smooth worm is also included.
Paradigmatic and Exploration of Blind Worm  [PDF]
Yellamandaiah Gogula, E.Jhansi Rani
International Journal of Engineering Trends and Technology , 2012,
Abstract: Active worms pose major security threats to the Internet. This is due to the ability of active worms to propagate in an automated fashion as they continuously compromise computers on the Internet. Active worms evolve during their propagation and thus pose great challenges to defend against them. In this paper, we investigate a new class of active worms, referred to as Tarnen Worm (C-Worm in short). The C-Worm is different from traditional worms because of its ability to intelligently manipulate its scan traffic volume over time. Thereby, the C-Worm camouflages its propagation from existing worm exploration systems based on analyzing the propagation traffic generated by worms. We analyze characteristics of the C-Worm and conduct a comprehensive comparison between its traffic and non-worm traffic (background traffic). We observe that these two types of traffic are barely distinguishable in the time domain. However, their distinction is clear in the frequency domain, due to the recurring manipulative nature of the C-Worm. Motivated by our observations, we design a novel spectrum-based scheme to detect the C-Worm. Our scheme uses the Power Spectral Density (PSD) distribution of the scan traffic volume and its corresponding Spectral Flatness Measure (SFM) to distinguish the C-Worm traffic from background traffic. Using a comprehensive set of exploration metric s and real-world traces as background traffic, we conduct extensive performance evaluations on our proposed spectrum-based exploration scheme. The performance data clearly demonstrates that our scheme can effectively detect the C-Worm propagation. Furthermore, we show the generality of our spectrum-based scheme in effectively detecting not only the C-Worm, but traditional worms as well.
The worm in the world and the world in the worm
Mark Blaxter, Dee R Denver
BMC Biology , 2012, DOI: 10.1186/1741-7007-10-57
Abstract: See research article http://www.biomedcentral.com/1741-7007/10/59 webciteCaenorhabditis elegans, the free-living nematode tamed as a new model organism by Sydney Brenner in the 1960s [1], has become a keystone species in the ecology of scientific knowledge. The ease with which C. elegans can be grown, manipulated and observed has driven biomedical research into new areas and 'the worm' has been a silent collaborator in three Nobel prizes, and thousands of research articles over the past 50 years. While primarily chosen because of the ease of genetic analysis, interest in C. elegans was redoubled when it became the first animal to have its whole genome sequenced [2]. The genome revealed much about the basic machinery of being an animal, and the specifics of being a nematode. One of the greatest surprises was the discovery of over 1,280 putative chemoreceptor genes [3]. This exuberant repertoire (even dogs have only approximately 1,200 olfactory and chemoreceptor genes) suggests that the nematodes' wild environment must be extraordinarily complex. However, the true ecology of C. elegans has remained enigmatic. In the laboratory it is clearly a boom-and-bust 'r-strategist' - a single self-fertilizing hermaphrodite (with an occasional rare male), given enough agar plates, Escherichia coli food and willing lab assistants, could produce over a billion great-granddaughters in a month. But where does it live, feed and reproduce in the wild? And how has its wild environment shaped the biology now explored in high-throughput investigations in labs worldwide? Marie-Anne Félix and Fabien Duveau report in BMC Biology [4] new findings from nematode populations in orchards near Paris that provide some answers to these questions.While often called a 'soil nematode', C. elegans has rarely been isolated from soils [5]. Sydney Brenner's C. elegans, the iconic N2 strain, came from mushroom compost in Bristol, UK. Like many related nematodes, C. elegans can enter a facultative diapause
Theoretical study on real tooth surface of novel toroidal worm by the forming method  [cached]
Zhang Xiaoping,Wang Junze,Zhang Yan
Research Journal of Applied Sciences, Engineering and Technology , 2012,
Abstract: The novel toroidal worm-gearing is a kind of worm transmission with spherical meshing elements, which is made up of worm, steel balls and worm gear, and its loading capacity and adaptability to errors can be improved by the mismatched technology applied to the meshing pair. Based on the directrix of worm surface, the mathematic model of worm surface is established, and the directrix-based forming method for machining worm surface is proposed. Further, the principle error in the machining process is analyzed, and the theoretic and real tooth surfaces of worm are fitted and compared on OpenGL platform. The results show that the tooth profile error can be controlled at the range of 0~1×10-5mm, and it is always 0 at the pressure angle.
Regularity of projection operators attached to worm domains  [PDF]
David Barrett,Dariush Ehsani,Marco Peloso
Mathematics , 2014,
Abstract: We construct a projection operator on an unbounded worm domain which maps subspaces of $W^s$ to themselves. The subspaces are determined by a Fourier decomposition of $W^s$ according to a rotational invariance of the worm domain.
Intelligent System for Worm Detection  [PDF]
Ibrahim Farag,Mohammed A. Shouman,Tarek S. Sobh,Heba El-Fiqi
International Arab Journal of e-Technology , 2009,
Abstract: Worms are on the top of malware threats attacking computer system although of the evolution of worms detectiontechniques. Early detection of unknown worms is still a problem. This paper produce a method for detecting unknown wormsbased on local victim information. The proposed system uses Artificial Neural Network (ANN) for classifying worm/ nonwormtraffic and predicting the percentage of infection in the infected network. This prediction can be used to support decisionmaking process for network administrator to respond quickly to worm propagation in an accurate procedure.
Subretinal worm and repeat laser photocoagulation  [cached]
Natesh Sribhargava,Harsha K,Nair Unnikrishna,Nair KGR
Middle East African Journal of Ophthalmology , 2010,
Abstract: Diffuse unilateral subacute neuroretinitis (DUSN) can be a diagnostic dilemma. Laser photocoagulation of the subretinal worm is an effective treatment for eradication. Early laser photocoagulation has been advocated. We report a case of a middle aged man who presented with decreased vision and a sub retinal macular worm that required two laser sessions for complete eradication of the worm.
Regularity of dbar on worm domains  [PDF]
Dariush Ehsani
Mathematics , 2014,
Abstract: A solution operator to the $\bar{\partial}$-equation is constructed on unbounded worm domains, $D_{\beta}$. Regularity estimates are proven showing the operator preserves regularity of the data. The operator may be viewed as a continuous mapping among appropriate subpaces of $W^s(D_{\beta})$, which depend on a rotational invariance of the domains.
A Multi-objective Optimization Approach for Design of Worm and Worm Wheel Based on Genetic Algorithm  [PDF]
Y.K. Mogal
Bonfring International Journal of Man Machine Interface , 2013, DOI: 10.9756/bijmmi.4403
Abstract: Number of conventional methods are available for solving different types of optimization problems. But due to their complexity and convergence problems these methods are not able to give optimal solution. A gear transmission problem is one of the most complex optimization problems because of relationship between different variables. A Gear design require the designer to compromise many design variables; i.e. continuous, discrete & integer variables in order to determine best performance of gear set. Therefore researchers are now going to use Evolutionary Techniques. Genetic Algorithm (GA) is one of such technique. In this paper the attempt has been made to optimize worm and worm wheel with multiple objectives, which takes gear ratio (i), face width of worm & worm wheel (b) and pitch circle diameters of worm (dw) & worm wheel (dg) as design variables. The main objective function is to minimize volume of worm and worm wheel and remaining objectives are taken as constraints such as centre distance, deflection of worm and beam strength of worm gear.
Gateway to the worm community
Chang-Su Lim
Genome Biology , 2001, DOI: 10.1186/gb-2001-3-1-reports2007
Abstract: This portal to information on Caenorhabditis elegans provides a tremendous service to the dedicated worm community and is also useful for the nonspecialist. Unique features are a robust search engine that allows one to search all the worm literature (including 'unpublished' information from the Worm Breeders' Gazette and meeting abstracts) and information about C. elegans for nonspecialists. This website also links to all of the other major worm websites, including WormBase (the genome sequence repository and more), the Caenorhabditis elegans Genetics Center (CGC; the strain repository) and pages with information about C. elegans methods, researchers and the newsgroup bionet.celegans, which includes information, discussion and announcements related to C .elegans.No registration is required and anyone can access the site. Once you get there, major links such as 'WormBase', 'Recent papers', 'CGC', 'EM Center', 'Software', 'Literature Search', 'Labs', 'Announcements' and so on, are lined up to choose from. For example, if you click 'Software', you will be given the option of accessing a few software programs, including the C. elegans genome database program ACeDB. If ACeDB is clicked, you will be given a brief description of its features and a link to the AceDB homepage. Navigating through the links is easy and the site is very user-friendly.The site is updated daily.The literature search feature is excellent due to its comprehensive coverage of all the past and recent literature including meeting abstracts.Updates on worm lab information were unsatisfactory as some of the links were out-of-date.Related websites WormBase provides a repository of mapping, sequencing and phenotypic information about C. elegans and some closely related nematodes. It includes the essentially complete genomic sequence.Caenorhabditis elegans WWW Serverthe UK mirror of the C. elegans WWW ServerWormBaseCaenorhabditis elegans Genetics CenterAceDB
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