Electronic mailing systems are the dominant communication systems in private and business matters. Public administrations deliver documents to citizens and businesses – subpoenas, legal verdicts, notifications, administrative penalties etc. However, official activities are more strongly linked to legal regulations than in civil law. Delivery of crucial and strictly personal documents raises the...

Communication is essential in software engineering. Especially in distributed open-source teams, communication needs to be supported by channels including mailing lists, forums, issue trackers, and chat systems. Yet, we do not have a clear understanding of which communication channels stakeholders in open-source projects use. In this study, we fill the knowledge gap by investigating a statistic...

Email marketing is increasingly recognized as an effective Internet marketing tool. In this study, a questionnaire is constructed and distributed to a sample of 146 prospects of Aditi Technologies to find the factors associated with higher response rates. The collected data is analyzed using Factor Analysis and the 11 factors, From Line, Subject Line, Personalization of the subject line, Timing...

This paper presents a Web-based system that automates some processes to connect machines to a network, create accounts, mount remote home directories, set mailing lists, and so on by cooperating with multiple servers, and describes its implementation. By introducing this novel system, a lot of task has been reduced compared with the conventional administrative tasks, and it has become easier fo...

The nonperturbative modification of the evolution equation for QCD generating functional is applied to the analysis of the factorial moments of the intrajet particle distributions in QCD. Nonperturbative preasymptotic correction to the factorial moments scaling (F-scaling) is calculated. The results are compared with the available experimental data. The data show the possible presence of such a...

An important task for a direct mailing company is to detect potential customers in order to avoid unnecessary and unwanted mailing. This paper describes a non-linear methodology to predict profiles of potential customers using dARTMAP neural networks. The paper discusses advantages of the proposed approach over similar techniques based on MLP neural networks.

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