A non-linear index to evaluate a journal's scientific impact

The purpose of this study is to define a bibliometric indicator of the scientific impact of a journal, which combines objectivity with the ability to bridge many different bibliometric factors and in particular the side factors presented along with celebrated ISI impact factor. The particular goal is to determine a standard threshold value in which an independent self-organizing system will decide the correlation between this value and the impact factor of a journal. We name this factor "Cited Distance Factor (CDF)" and it is extracted via a well-fitted, recurrent Elman neural network. For a case study of this implementation we used a dataset of all journals of cell biology, ranking them according to the impact factor from the Web of Science Database and then comparing the rank according to the cited distance. For clarity reasons we also compare the cited distance factor with already known measures and especially with the recently introduced eigenfactor of the institute of scientific information (ISI)

A semantic self-organising webpage-ranking algorithm using computational geometry across different knowledge domains

In this paper we introduce a method for Web page-ranking, based on computational geometry to evaluate and test by examples, order relationships among web pages belonging to different knowledge domains. The goal is, through an organising procedure, to learn from these examples a real-valued ranking function that induces ranking via a convexity feature. We consider the problem of self-organising learning from numerical data to be represented by a well-fitted convex polygon procedure, in which the vertices correspond to descriptors representing domains of web pages. Results and Statistical evaluation of procedure show that the proposed method may be characterised as accurat

Arachnoiditis ossificans with progressive syringomyelia and spinal arachnoid cyst

We present a 30-year-old man with progressive spastic paraparesis. Spinal imaging revealed extensive calcification of the thoracic cord and cauda equina arachnoid, an intradural extramedullary cyst and evidence of rapidly progressing syringomyelia. Radiological diagnosis was arachnoiditis ossificans and an attempt at surgical decompression was made because of progressive neurologic deterioration. Due to tenacious adhesion of the calcified plaques to the cord and roots, only cyst drainage was achieved; the patient had no clinical improvement. A literature review revealed only two other cases reported in the literature with co-existence of arachnoiditis ossificans and syringomyelia. In none of the previous cases was there an intradural extramedullary arachnoid cyst, nor did the syrinx progress in such a rapid fashion. An attempt is made to explain possible pathophysiological mechanisms leading to this unusual pathology. (c) 2006 Elsevier Ltd. All rights reserved

Fingerprint Verification Based On Image

this paper the problem of fingerprint verification via the Internet is investigated. Specifically, the method that is used for the above purpose is based on a traditional finger scanning technique, involving the analysis of small unique marks of the finger image known as minutiae. Minutiae points are the ridge endings or bifurcations branches of the finger image. The relative position of these minutiae is used for comparison, and according to empirical studies, two individuals will not have eight or more common minutiae. [1,2]. A typical live-scan fingerprint will contain 30-40 minutiae. Other systems analyze tiny sweat pores on the finger that, in the same way as minutiae, are uniquely positioned. Furthermore, such methods may be subject to attacks by hackers when biometric features are transferred via Internet [3