Evolving features-algorithms knowledge map to support NIDS data intelligence and learning loop architecting – a generalised approach to NIDS pattern feature space knowledge processing

This paper describes a proposed new approach to the Computer Network Security Intrusion Detection Systems (NIDS) application domain knowledge processing focused on a topic map technology-enabled representation of features of the threat pattern space as well as the knowledge of situated efficacy of alternative candidate algorithms for pattern recognition within the NIDS domain. Thus an integrative knowledge representation framework for virtualisation, data intelligence and learning loop architecting in the NIDS domain is described together with specific aspects of its deployment.

Improving the nutritional quality of milk

Epidemiological evidence suggests high milk consumption protects against certain chronic diseases, and yet the high saturated fatty acid (SFA) concentration of milk fat has lead to research into reducing SFA and trans- fatty acid content, and enhancing conjugated linoleic acid (CLA) content. The most successful method of reducing SFA content is by feeding dairy cows supplemental oilseeds, although amount, type and form of oilseed influence the degree of effect. Also, the high unsaturated fatty acid content of oilseeds leads to increases in milk fat trans- fatty acids unless the oilseed is protected from rumen metabolism.

The nutritional significance of cheese in the UK diet

Cheese currently suffers from an adverse nutritional image largely due to a perceived association between saturated fatty acid, cholesterol and the salt content of cheese with cardiovascular disease. However, cheese is also a rich source of essential nutrients such as, proteins, lipids, vitamins and minerals that play an integral part of a healthy diet. This review outlines the composition, structure and physiological characteristics of the nutritionally significant components of cheese, whilst presenting some of the controversies that surround the role of cheese in dietary guidelines and the potential cheese has to improve health in the UK population.

Intestinal microflora of human infants and current trends for its nutritional modulation

Diet, among other environmental and genetic factors, is currently recognised to have an important role in health and disease. There is increasing evidence that the human colonic microbiota can contribute positively towards host nutrition and health. As such, dietary modulation has been proposed as important for improved gut health, especially during the highly sensitive stage of infancy. Differences in gut microflora composition and incidence of infection occur between breast- and formula-fed infants. Human milk components that cannot be duplicated in infant formulae could possibly account for these differences. However, various functional food ingredients such as oligosaccharides, prebiotics, proteins and probiotics could effect a beneficial modification in the composition and activities of gut microflora of infants. The aim of the present review is to describe existing knowledge on the composition and metabolic activities of the gastrointestinal microflora of human infants and discuss various possibilities and opportunities for its nutritional modulation.

Integrating features for man-made target tracking from FLIR image sequence using particle filter

A new man-made target tracking algorithm integrating features from (Forward Looking InfraRed) image sequence is presented based on particle filter. Firstly, a multiscale fractal feature is used to enhance targets in FLIR images. Secondly, the gray space feature is defined by Bhattacharyya distance between intensity histograms of the reference target and a sample target from MFF (Multi-scale Fractal Feature) image. Thirdly, the motion feature is obtained by differencing between two MFF images. Fourthly, a fusion coefficient can be automatically obtained by online feature selection method for features integrating based on fuzzy logic. Finally, a particle filtering framework is developed to fulfill the target tracking. Experimental results have shown that the proposed algorithm can accurately track weak or small man-made target in FLIR images with complicated background. The algorithm is effective, robust and satisfied to real time tracking.

Nutritional status and clinical outcome in elderly female surgical orthopaedic patients

The possible relationship between nutritional status and clinical outcome following orthopaedic hip surgery was investigated. The nutritional status of 60 elderly female patients admitted for elective total hip replacement (THR) and emergency fractured neck of femur surgery (FNF) was measured over time. Specific measures of clinical outcome, including well-being and functional status, were monitored during hospital stay and at 4, 8 and 26 weeks following discharge. Patients were allocated to a high nutritional risk group where any three of the following were less than the 5th percentile value: serum albumin, haemoglobin, triceps skinfold thickness, mid-upper arm muscle circumference and body weight. Using this definition, malnutrition was present in 4% of THR patients and 41% of FNF patients. It was found that the high risk patients had significantly longer convalescence periods, (median stay27.5 days compared with 0 days, P < 0.0009), and a greater proportion were dependent upon walking frames at 6 months (46% compared with 11%, P < 0.01). Fifty percent of the high risk patients had been living independently prior to admission, in contrast only 29% had returned to their homes at 6 months after discharge. The results indicate an apparent link between clinical outcome and nutritional status based upon the allocation procedure employed, which has the potential for ensuring cost-effective nutritional intervention.