Activation of the mitochondrial ATP-sensitive K+ channel (mitoKATP) and its regulation by PKC are critical events in preconditioning induced by ischemia or pharmaceutical agents in animals and humans. The properties of the human cardiac mitoKATP channel are unknown. Furthermore, there is no evidence that cytosolic PKC can directly regulate the mitoKATP channel located in the inner mitochondrial...

Dendritic/tumor fusion cell (FC) vaccine is an effective approach for various types of cancer but has not yet been standardized. Antitumor activity can be modulated by different mechanisms such as dendritic cell (DC) maturation state. This study addressed optimal strategies for FC preparations to enhance Ag-specific CTL activity. We have created three types of FC preparations by alternating fus...

Research in support of indoor mapping and modelling (IMM) has been active for over thirty years. This research has come in the form of As-Built surveys, Data structuring, Visualisation techniques, Navigation models and so forth. Much of this research is founded on advancements in photogrammetry, computer vision and image analysis, computer graphics, robotics, laser scanning and many others. Whi...

This paper concentrates on multitarget tracking (MTT) simulation. The purpose of this paper is to simulate 11 targets in the noisy environment. The sensors used in the simulations are passive. First, we use the interactive multiple model (IMM) algorithm with the probabilistic data association (PDA) algorithm. The PDA is not capable to process attribute observations (i.e. observations of feature...

For the problem of tracking multiple manoeuvering targets in false and missing measurements the paper develops a characterization of the exact Bayesian equations of the conditional density. Since in these exact equations both IMM and PDA are Jointly performed over all targets, we also develop two Joint IMMPDA type of filters and compare them with other combinations of IMM and JPDA through Monte...

This paper considers the problem of bearings only tracking of manoeuvring targets. A learning particle filtering algorithm is proposed which can estimate both the unknown target states and unknown model parameters. The algorithm performance is validated and tested over a challenging scenario with abrupt manoeuvres. A comparison of the proposed algorithm with the Interacting Multiple Model (IMM)...

An interference prediction scheme is proposed for power control in packet-switched TDMA wireless networks. The prediction scheme is based on the interacting multiple model (IMM) estimator, and it is adaptive to a wide range of nonstationary dynamic characteristics of the interference power. Compared to Leung’s scheme, it can predict the interference power more accurately and allow us to adjust ...