Arend Bayer And
نویسنده
چکیده
We give a construction of the moduli space of stable maps to the classifying stack Bμr of a cyclic group by a sequence of r-th root constructions on M0,n. We prove a closed formula for the total Chern class of μreigenspaces of the Hodge bundle, and thus of the obstruction bundle of the genus zero Gromov-Witten theory of stacks of the form [C/μr ]. We deduce linear recursions for all genus-zero Gromov-Witten invariants.
منابع مشابه
Exploring the Trade Openness, Energy Consumption and Economic Growth Relationship in Iran by Bayer and Hanck Combined Cointegration and Causality Analysis
This paper aims to investigate the direction of causality between economic growth, energy consumption and trade openness in case of Iran for the period 1967–2012. We apply the newly developed combined cointegration test proposed by Bayer and Hanck (2013). Vector Error Correction Model (VECM) is applied to determine the direction of causality between these three variables. The result of Bayer-Ha...
متن کاملمقایسه تأثیر اکریل Bayer با آکریل Acropars برچسبندگی کاندیدا آلبیکنس
Background: this infection is caused by Candida albicans a flora of mouth. Since one of the problems in dentureusers is it's contamination with C.albicans and discoloration, and lack of information about adhesionof C.albicans to different resins, we designed this study to compare the effect of two types of acrylicresin on adhesion of C.albicans.Candidiasis is one of the most common fungal infec...
متن کاملMicrobiological Leaching of Al from the Waste of Bayer Process by Some Selective Fungi
In present investigation the biological leaching of aluminum by isolated fungi from red mud, the main waste product of the alkaline extraction of Al from bauxite was studied. Biological leaching experiments were carried out using indigenous, date and orange specimen fungi, Aspergillus Niger, Penicillium simplicissimum notatum. Savored Dextrose chloramphenicol Agar (SDA) wa...
متن کاملPrediction of Red Mud Bound-Soda Losses in Bayer Process Using Neural Networks
In the Bayer process, the reaction of silica in bauxite with caustic soda causes the loss of great amount of NaOH. In this research, the bound-soda losses in Bayer process solid residue (red mud) are predicted using intelligent techniques. This method, based on the application of regression and artificial neural networks (AAN), has been used to predict red mud bound-soda losses in Iran Alumina C...
متن کاملComparing the capability of various models for predicting of the Bayer process parameters
In the present study, prediction of Alumina recovery efficiency (A.R.E), the amount of produced red mud (A.P.R), red mud settling rate (R.S.R) and bound-soda losses (B.S.L) in Bayer process red mud has been carried out for the first time in the field. These predictions are based on Lime to bauxite ratio and chemical analyses of bauxite and lime as Bayer process feed materials. Radial basis func...
متن کامل