Triangulation positioning system - Network and topology issues

This paper presents ongoing work on localization and positioning through triangulation procedure. Issues of scalability and topology are also examined and areas that are problematic and need further analysis and implementation in the network are analyzed. In a Fixed Stations Network, as it was presented in [1] a triangulation problem is becoming high complicated when we have a large number of sensors and transmitters.Sensors bearings and data readings have to be checked on a case by case basis.The combination and processing of a vast number of data needs filtering and implementation of the various cases, whilst synchronously data processing in various stages can provide accurate results

Bioprofiling over grid for early detection of dementia

Summarization: The primary aim of this paper is to present a new concept, bioprofiling over Grid, and to illustrate how Grid computing may be used to support individualisation of healthcare in future, with the aid of a new test bed, the BIOPATTERN Grid. The BIOPATTERN Grid is designed to facilitate seamless sharing of geographically distributed bioprofile databases and to support the analysis of bioprofiles to combat major diseases such as brain diseases and cancer within a major EU project, BIOPATTERN (www.biopattern.org). The main objectives in this paper are 1) to report the development of the BIOPATTERN Grid for biopattern analysis and bioprofiling in support of individualisation of healthcare; 2) to illustrate how the BIOPATTERN Grid could be used for biopattern analysis and bioprofiling for early detection of dementia. We present the architecture and general functionalities of BIOPATTERN Grid, and the development of a prototype test bed (including a Grid Portal and Grid services for early detection of dementia). We illustrate the concept of bioprofiling over Grid and discuss issues such as scalability in high through-put computing for biodata analysis associated with bioprofiling for dementia. Results show benefits in both high throughput computing in biodata analysis and for individualisation of healthcare using Grid computing which makes it possible to access geographically distributed patient's information for subject-specific data analysis for early detection of dementia.Παρουσιάστηκε στο: 1st international conference on Scalable information system

Dating the Origin and Estimating the Transmission Rates of the Major HIV‐1 Clusters in Greece: Evidence about the Earliest Subtype A1 Epidemic in Europe

Our aim was to estimate the date of the origin and the transmission rates of the major local clusters of subtypes A1 and B in Greece. Phylodynamic analyses were conducted in 14 subtype A1 and 31 subtype B clusters. The earliest dates of origin for subtypes A1 and B were in 1982.6 and in 1985.5, respectively. The transmission rate for the subtype A1 clusters ranged between 7.54 and 39.61 infec-tions/100 person years (IQR: 9.39, 15.88), and for subtype B clusters between 4.42 and 36.44 infections/100 person years (IQR: 7.38, 15.04). Statistical analysis revealed that the average difference in the transmission rate between the PWID and the MSM clusters was 6.73 (95% CI: 0.86 to 12.60; p = 0.026). Our study provides evidence that the date of introduction of subtype A1 in Greece was the earliest in Europe. Transmission rates were significantly higher for PWID than MSM clusters due to the conditions that gave rise to an extensive PWID HIV‐1 outbreak ten years ago in Athens, Greece. Transmission rate can be consid-ered as a valuable measure for public health since it provides a proxy of the rate of epidemic growth within a cluster and, therefore, it can be useful for targeted HIV prevention programs. © 2022 by the authors. Licensee MDPI, Basel, Switzerland