An electronic record system in nursing education: evaluation and utilization

The main objective of the present work is to analyze the results of the utilization and evaluation of the LORETO Record System (LRS), providing improvement areas in the teaching-learning process and technology, in second year nursing students. A descriptive, prospective, cross sectional study using inferential statics has been carried out on all electronic records reported by 55 nursing students during clinical internships (April 1º-June 26º, 2013). Electronic record average rated 7.22 points (s=0.6; CV=0.083), with differences based on the clinical practice units (p<0,05). Three items assessed did not exceed the quality threshold set at 0.7 (p<0.05). Record Rate exceeds the quality threshold set at 80% for the overall sample, with differences based on the practice units. Only two clinical practice units rated above the minimum threshold (p <0.05). Record of care provision every 3 days did not reach the estimated quality threshold (p <0.05). There is a dichotomy between qualitative and quantitative results of LRS. Improvement areas in theoretical education have been identified. The LRS seems an appropriate learning and assessment tool, although the development of a new APP version and the application of principles of gamification should be explored.

An Electronic Reconfigurable Neural Architecture for Intrusion Detection

The explosive growth of the traffic in computer systems has made it clear that traditional control techniques are not adequate to provide the system users fast access to network resources and prevent unfair uses. In this paper, we present a reconfigurable digital hardware implementation of a specific neural model for intrusion detection. It uses a specific vector of characterization of the network packages (intrusion vector) which is starting from information obtained during the access intent. This vector will be treated by the system. Our approach is adaptative and to detecting these intrusions by using a complex artificial intelligence method known as multilayer perceptron. The implementation have been developed and tested into a reconfigurable hardware (FPGA) for embedded systems. Finally, the Intrusion detection system was tested in a real-world simulation to gauge its effectiveness and real-time response.