One of the important matters about the reviewing the conclusion of the Electronic Contracts, which are concluded through different Electronic devices like telephone, telegram, fax, in the cyber space and through Email, is the matter of the Electronic signature. Indeed the Electronic documents and specially the Electronic Contracts will be completed by signature and will be attributable to the relevant party. The comparison between the Electronic and traditional signature, will be helpful for achieving a better conception of the issue.The importance of this discussion is for supporting the contractual right both for the sender of data massages and also the receiver. In the other words conclusion or non-conclusion of the Contract formatted via Electronic devices and subsequently forming the rights and the obligations of the parties, is substantially focused on this key question that whether the relevance of data massage to the sender is attributable? The idea of insured data massage or insured Electronic signature and also suggesting the certification authority is based on possible avoidance of any kind of doubt or ambiguity about the attribution of data massage.

Signature is one of the personal identification methods. In this paper we have proposed a signature identification approach which is based on using dynamic information of signature video. It composes of four stages. First, the foreground image is extracted. Second the signature shape is obtained by detecting and tracking the pen tip in each frame. The pen tip detection error rate is decreased using a proposed modification. Third, some features based on energy motion image are calculated. At the last stage, the signature model is formed which is used in signature identification procedure.We have generated a signature video database of 50 persons to evaluate the proposed method. The number of 13 signatures of each person are used for training. In addition 8 genuine and 8 fake signatures are used for testing purposes. The Accuracy and Equal Error Rate measures areobtained as 95.02% and 3.8% respectively.

Gastric cancer (GC) is one of the most common types of cancer and the second leading cause of cancer-associated mortality. Identification of novel biomarkers is critical to prolonging patient survival. MicroRNAs (miRNAs) proved to play diverse roles in the physiological and pathological state in cancers including GC. Herein we aimed at performing a meta-analysis on miRNA profiling studies that used microarray platforms. Relevant studies were retrieved from PubMed and GEO databases. We used the robust rank aggregation to perform the meta-analysis. Moreover, for meta-signature miRNAs target genes, we performed pathway enrichment and GO molecular function enrichment analysis. A total of 19 upregulated miRNAs and seven downregulated miRNAs in GC samples were identified. However, only three upregulated and one downregulated miRNA reached statistical significance after multiple test correction. Here we showed that hsa-miR-21-5p, hsa-miR-93-5p, hsa-miR-25-3p, and hsa-miR-375 are differentially expressed in GC samples.

This article concerned on the study of signature submanifolds for curves under Lie group actions SE(2), SA(2) and for surfaces under SE(3). Signature submanifold is a regular submanifold which its coordinate components are differential invariants of an associated manifold under Lie group action, and therefore signature submanifold is a key for solving equivalence problems.

E-signature is an electronic data that is attached to a data message. As to its probative value, E-signature is divided into simple E-signature and secure E- signature. The main rule about E-signature is that E-signature has the same effects as handwritten signature.Another issue on digital signature is how to determine the attribution of a digital signature to a specific person. In this article we consider probative value of electronic signature and its definition.