Decentralized and robust target tracking with sensor networks

In this paper we address the problem of decentralized and robust linear filtering for target tracking using networks of (radar) sensors taking nonlinear range and bearing measurements. The algorithm introduced in this paper permits efficient data fusion from multiple sensors through a summation style fusion architecture. Moreover, we prove that the state estimation error for the linear filtering algorithm is bounded.

Regulation of STARS and its downstream target suggest a novel pathway involved in human skeletal hypertrophy and atrophy

Skeletal muscle atrophy is a severe consequence of ageing, neurological disorders and chronic disease. Identifying the intracellular signalling pathways controlling changes in skeletal muscle size and function is vital for the future development of potential therapeutic interventions. Striated activator of Rho signalling (STARS), an actin-binding protein, has been implicated in rodent cardiac hypertrophy; however its role in human skeletal muscle has not been determined. This study aimed to establish if STARS, as well as its downstream signalling targets, RhoA, myocardin-related transcription factors A and B (MRTF-A/B) and serum response factor (SRF), were increased and decreased respectively, in human quadriceps muscle biopsies taken after 8 weeks of both hypertrophy-stimulating resistance training and atrophy-stimulating de-training. The mRNA levels of the SRF target genes involved in muscle structure, function and growth, such as α-actin, myosin heavy chain IIa (MHCIIa) and insulin-like growth factor-1 (IGF-1), were also measured. Following resistance training, STARS, MRTF-A, MRTF-B, SRF, α-actin, MHCIIa and IGF-1 mRNA, as well as RhoA and nuclear SRF protein levels were all significantly increased by between 1.25- and 3.6-fold. Following the de-training period all measured targets, except for RhoA, which remained elevated, returned to base-line. Our results show that the STARS signalling pathway is responsive to changes in skeletal muscle loading and appears to play a role in both human skeletal muscle hypertrophy and atrophy.

Neurotoxic, redox-competent Alzheimer's --amyloid is released from lipid membrane by methionine oxidation

The amyloid β peptide is toxic to neurons, and it is believed that this toxicity plays a central role in the progression of Alzheimer's disease. The mechanism of this toxicity is contentious. Here we report that an Aβ peptide with the sulfur atom of Met-35 oxidized to a sulfoxide (Met(O)Aβ) is toxic to neuronal cells, and this toxicity is attenuated by the metal chelator clioquinol and completely rescued by catalase implicating the same toxicity mechanism as reduced Aβ. However, unlike the unoxidized peptide, Met(O)Aβ is unable to penetrate lipid membranes to form ion channel-like structures, and β-sheet formation is inhibited, phenomena that are central to some theories for Aβ toxicity. Our results show that, like the unoxidized peptide, Met(O)Aβ will coordinate Cu₂₊ and reduce the oxidation state of the metal and still produce H2O2. We hypothesize that Met(O)Aβ production contributes to the elevation of soluble Aβ seen in the brain in Alzheimer's disease.

Body weight and weight loss : are health messages reaching their target?

Objective: To investigate lay peoples’ knowledge of health risks of overweight, accuracy of self-perception of body weight and perceived benefits of weight loss. Method: A nine item questionnaire was administered to a cross sectional survey of adults in metropolitan shopping centres, height and weight were measured. Results: Two hundred and nine (57% female) adults completed the survey. Thirty eight percent had a healthy BMI (18.5-24.9), 38% were overweight (BMI 25-29.9) and a further 22% were obese (BMI>30). However only 46% perceived themselves ‘overweight’, 50% considered themselves ‘just about right’ and 4% considered themselves ‘underweight’. Of those with a BMI of 25 or greater 28% considered their weight ‘just about right’. Over 80% thought ‘being overweight’ was ‘likely’ or ‘very likely’ to be a risk factor for cardiovascular disease, hypertension, diabetes and stroke; however 20% of overweight or obese individuals did not think their health would improve if they lost weight. Conclusion: A significant proportion of overweight or obese individuals do not accurately perceive their body weight and do not recognise the health advantages of weight loss despite recognising excess body weight as a risk factor for chronic diseases. Implications: Increasing the awareness of an individual’s BMI and promoting the benefits of modest weight loss maybe two underutilized strategies for population level weight control.

Vision-based target tracking and surveillance with robust set-valued state estimation

Tracking a target from a video stream (or a sequence of image frames) involves nonlinear measurements in Cartesian coordinates. However, the target dynamics, modeled in Cartesian coordinates, result in a linear system. We present a robust linear filter based on an analytical nonlinear to linear measurement conversion algorithm. Using ideas from robust control theory, a rigorous theoretical analysis is given which guarantees that the state estimation error for the filter is bounded, i.e., a measure against filter divergence is obtained. In fact, an ellipsoidal set-valued estimate is obtained which is guaranteed to contain the true target location with an arbitrarily high probability. The algorithm is particularly suited to visual surveillance and tracking applications involving targets moving on a plane.

Mitrochondrial target discovery in diabetic skeletal muscle

This study identified the protein PARL (Presenilin-associated rhomboid like) as a potential mediator of the mitochondrial abnormalities that are observed in diabetic skeletal muscle. This was demonstrated by analysing PARL expression in an animal model of type 2 diabetes and by investigating the biological effects of genetic variation in the human PARL gene.