101 research outputs found
CUSUM Algorithms for Parameter Estimation in Queueing Systems with Jump Intensity of the Arrival Process
Chitosan-Cellulose Composite for Wound Dressing Material. Part 2. Antimicrobial Activity, Blood Absorption Ability, and Biocompatibility
Chitosan (CS), a polysaccharide derived from chitin, the second most abundant polysaccharide, is widely used in the medical world because of its natural and nontoxic properties and its innate ability for antibacterial and hemostasis effects. In this study, the novel composites containing CS and cellulose (CEL) (i.e., [CELβ+βCS]), which we have previously synthesized using a green and totally recyclable method, were investigated for their antimicrobial activity, absorption of anticoagulated whole blood, anti-inflammatory activity through the reduction of tumor necrosis factor-Ξ± (TNF-Ξ±) and interleukin-6 (IL-6), and the biocompatibility with human fibroblasts. The [CELβ+βCS] composites were found to inhibit the growth of both Gram positive and negative micro-organisms. For examples, the regenerated 100% lyophilized chitosan material was found to reduce growth of Escherichia coli (ATCC 8739 and vancomycin resistant Enterococcus faecalis (ATCC 51299) by 78, 36, and 64%, respectively. The composites are nontoxic to fibroblasts; that is, fibroblasts, which are critical to the formation of connective tissue matrix were found to grow and proliferate in the presence of the composites. They effectively absorb blood, and at the same rate and volume as commercially available wound dressings. The composites, in both air-dried and lyophilized forms, significantly inhibit the production of TNF-Ξ± and IL-6 by stimulated macrophages. These results clearly indicate that the biodegradable, biocompatible and nontoxic [CELβ+βCS] composites, particularly those dried by lyophilizing, can be effectively used as a material in wound dressings
Parameter estimation and change-point detection for AR(p)/ARCH(q) process with unknown parameters
CUSUM algorithms for parameter estimation in queueing systems with jump intensity of the arrival process
On the self-testing (m,n)-code checker design
We propose an approach to a self-testing (m, n)code checker design, based on subdividing the set of all code words into special subsets called segments. The checker circuit is constructed by using one- and two-output configurable logic blocks (CLB). Previously, in each output of a CLB, a function representing exactly one segment was implemented. In the proposed approach, at each CLBs output, it is possible to implement functions that represent several segments and to provide the self-testing property. It allows reducing the number of CLBs and simplifying the circuit of the checker
In situ classification of raw audio samples by convolutional neural networks in electronic beehive monitoring
Cumulative sum algorithms for automatic detection of gas well parameter changes
The problem of the change point detection in a sequence of random variables is considered. The task arises in control of technological processes, particularly, in oil and gas production management. Some equipment parameters are to be controlled in order to detect a change of the equipment characteristics and, consequently, a breakdown of its technological regime. As a rule, the data observed are stochastic with the unknown distribution
Choice of the Parameters of the CUSUM Algorithms for Parameter Estimation in the Markov Modulated Poisson Process
CUSUM algorithm for controlling chain state switching in the Markov modulated Poissonprocess was investigated via simulation. Recommendations concerning the parameter choice were givensubject to characteristics of the process. Procedure of the process parameter estimation was described
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