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The paper describes a simple analytical framework to be used when designing control algorithms for systems of specific type - in which the state derivatives go in feedback as accelerometer signals, and the overall controller explicitly exhibits an algebraic disturbance feedback loop. A simplified hydrofoil craft linear model is treated as an example. The method proposed combines all the approaches
Antibody-based microarrays have emerged as an established proteomic technology allowing multiplexed and sensitive profiling of complex proteomes, in a high-throughput and miniaturized manner. Recently, numerous applicative efforts have been pursued generating disease-associated protein signatures that now could be further explored for improved disease diagnostics, prognostics and classification.
The optical design for the proposed Euro50 extremely large telescopewith integrated adaptive optics (AO) is presented. For atmosphericturbulence correction, we propose using single and dual-conjugate AOsystems working with natural and laser guide stars. The corrective shapeof the deformable mirrors (DMs) is derived from an analytical algorithmbased on minimization of the sum of the residual power
Streptococcus pneumoniae (pneumococcus) is a pathogen that causes severe local and life-threatening invasive diseases, which are associated with high mortality rates. Pneumococci have evolved several strategies to evade the host immune system, including complement to disseminate and to survive in various host niches. Thus, pneumococci bind complement inhibitors such as C4b-binding protein (C4BP) a
OBJECTIVE: To compare costs of transurethral prostatic resection (TURP) and transurethral microwave thermotherapy (TUMT) for symptomatic benign prostatic hyperplasia (BPH) in a randomized, controlled trial. METHODS: In 70 BPH patients all costs were calculated for management, including complications and repeat treatment, during TURP or TUMT and 24-month follow-up. Clinical outcome was judged from
Components derived from cartilage have been suggested to maintain the inflammation in joints in arthritis. Small leucine-rich repeat proteins (SLRPs) are structural components of cartilage important in organizing the meshwork of extracellular matrix components. It has recently been shown that the SLRP fibromodulin interacts with complement initiator C1q, leading to complement activation. The compl
The proportion of CD4- CD8- double-negative (DN) alpha beta T cells is increased both in the thymus and in peripheral lymphoid organs of TCR alpha chain-transgenic mice. In this report we have characterized this T cell population to elucidate its relationship to alpha beta and gamma delta T cells. We show that the transgenic DN cells are phenotypically similar to gamma delta T cells but distinct f
Background Knowledge about how elderly persons perceive the impact of chronic heart failure (CHF) on daily life is important when planning nursing care. For this purpose, disease specific instruments are needed. However, few instruments have been developed or tested specifically on elderly persons. Aim To validate a Swedish version of the Minnesota Living with Heart Failure Questionnaire (LHFQ)
The appropriate secretion of insulin from pancreatic beta-cells is critically important to the maintenance of energy homeostasis. The beta-cells must sense and respond suitably to postprandial increases of blood glucose, and perturbation of glucose-sensing in these cells can lead to hypoglycaemia or hyperglycaemias and ultimately diabetes. Here, we review beta-cell glucose-sensing with a particula
The view on reactive oxygen species (ROS) in inflammation is currently shifting from being considered damaging toward having a more complex role in regulating inflammatory reactions. We recently demonstrated a role of ROS in regulation of animal models for the autoimmune disease rheumatoid arthritis. Low levels of ROS production, due to a mutation in the Ncf1 gene coding for the Ncf1 (alias p47pho
Human polyclonal and monoclonal antibodies against pathogens and toxins are potentially useful in the treatment of various diseases. A number of human monoclonal antibodies with protective capacity in vitro have been established by conventional hybridoma technology. However, with the development of phage-display technology, the possibility of specifically tailoring antigen-binding properties has i
Type 1 diabetes is a common, multifactorial disease with strong familial clustering (genetic risk ratio [{lambda}S] ~ 15). Approximately 40% of the familial aggregation of type 1 diabetes can be attributed to allelic variation of HLA loci in the major histocompatibility complex on chromosome 6p21 (locus-specific {lambda}S ~ 3). Three other disease susceptibility loci have been clearly demonstrated
Antibody evolution in vivo proceeds mainly by stepwise improvements, accomplished by single base pair substitutions. Lately, receptor revision, i.e. exchange of large parts of the V gene for another sequence, has been suggested to provide a complementary route for affinity maturation. By employing a receptor revision like evolution process in vitro using combinatorial libraries and phage display s
Conventional road accident risk is measured by the undesirable events/exposure ratio. Common exposure indicators are activity-based, so event-based exposure is needed to achieve event-based safety assessment. Furthermore, road safety simulation is a growing research field. The influence of some software parameters is still unknown. Besides, the use of simulation for exposure assessment is incipien
Sizeable number of stellar-mass black holes (BHs) in globular clusters (GCs) can strongly influence the dynamical evolution and observational properties of their host cluster. Using results from a large set of numerical simulations, we identify the key ingredients needed to sustain a sizeable population of BHs in GCs up to a Hubble time. We find that while BH natal kick prescriptions are essential
The pyISC is a Python API and extension to the C++ based Incremental Stream Clustering (ISC) anomaly detection and classification framework. The framework is based on parametric Bayesian statistical inference using the Bayesian Principal Anomaly (BPA), which enables to combine the output from several probability distributions. pyISC is designed to be easy to use and integrated with other Python li
