EEG Processing for Fast and Efficient Analysis

Hobbies on the human body have never diminished and explore on it has never ceased since hundreds of years back. An investigation of EEG for examination of the creation of the cerebrum and intellectual methods for biomedical applications is progressing theme for exploration. For the legitimate conclusion of numerous neurological maladies, for example, epilepsy, tumors, issues connected with injury exact examination of EEG signs is key. Moreover, to upgrade the viability of Brain Computer Interface (BCI) frameworks it is obliged to focus systems for expanding the sign to-commotion proportion (SNR) of the watched EEG signals. EEG measured by setting cathodes on scalp generally has little abundancy in microvolts, so the examination of EEG information and the extraction of data from this information is a troublesome issue. This issue gets to be more entangled by the presentation of antiques, for example, line commotion from the force lattice, eye flickers, eye developments, pulse, breathing, and other muscle action. Discrete wavelet change offers a viable answer for denoising nonstationary EEG signals. In this paper, wavelet denoising is connected to EEG obtained amid performing diverse mental assignments. The initial decay of the EEG signal from database utilizing five unique sorts of wavelets viz. Haar, Daubechies, Symlet, Coiflet,Dmey is completed. In denoising process, the thresholding system utilized for expelling clamor from sullied EEG. Our goal to discover best suitable wavelet sort to specific errand which gave better execution measure, for example, bigger sign to-Noise Ratio (SNR). The EEG database from the Colorado state college is utilized for experimentation

Identification and Characterization of Novel Collagen Chains

Collagen VI and collagen XXVIII are two extracellular matrix proteins that belong to the superfamily of von Willebrand Factor A (VWA) domain containing molecules. Earlier studies on collagen VI indicated that this widely distributed protein is composed of α1, α2 and α3 polypeptide chains, which form a microfibrillar network in close association with basement membranes in muscle and other tissues. In contrast, an initial study on collagen XXVIII reported that it forms a homotrimer and has a very restricted localization at specific basement membranes of peripheral nerves. In this dissertation, the identification and characterization of three novel collagen VI chains, α4, α5 and α6, that show similarity to the collagen VI α3 chain is described. The genes coding for the new chains are arranged in tandem on mouse chromosome 9. The proteins contain seven N-terminal VWA domains followed by a collagenous domain, two C-terminal VWA domains and a unique domain. In addition the collagen VI α4 chain carries a Kunitz domain at the C-terminus whereas the collagen VI α5 chain contains an additional VWA domain and unique domain. The lengths of the collagenous domains and the positions of the structurally important cysteine residues are identical in the collagen VI α3, α4, α5 and α6 chains. In mouse, the new chains show a very restricted and differential expression mainly associated with basement membranes. They are sometimes detected in regions where the collagen VI α3 chain is not expressed, suggesting that the α3 chain is not required for their assembly. Analysis of the collagen VI α1 chain deficient mouse strain, confirmed that the new chains require the α1 chain and may substitute for the α3 chain, probably forming α1α2α4, α1α2α5 and α1α2α6 heterotrimers. In humans, only the genes coding for the collagen VI α5 and α6 chains are preserved. The COL6A4 gene has been inactivated due to large pericentric inversion on chromosome 3 that split the gene in two pieces and transformed it into two non-processed pseudogenes. In humans, the collagen VI α5 and α6 chains are present in close association with the basement membranes of skeletal muscle and skin. Ullrich Congenital Muscular Dystrophy (UCMD) and Bethlem Myopathy (BM) patients carrying mutations in COL6A1, COL6A2 and COL6A3 show also skin phenotypes like keloid scarring or keratosis pilaris. Immunohistochemical analysis of the new chains in the skin of UCMD and BM patients showed a disturbed staining pattern only when the COL6A1 or COL6A2 genes are affected. This indicates that the new chains may substitute for the collagen VI α3 chain forming α1α2α5 and α1α2α6 heterotrimers. However the exact role of new chains for the development of skin phenotypes in myopathy patients remains to be elucidated. The functional role of collagen XXVIII is not known. Therefore, the inactivation of the Col28a1 gene in mouse was initiated. A targeting vector disrupting the exon 2 of Col28a1 was generated in vitro, followed by ES cell targeting in vivo. Positive ES clones were injected into blastocysts and transferred to surrogate mothers, which resulted in a chimeric mice carrying both the wild type and the targeted allele. However, the targeted allele did so far not enter the germline

NMR investigation of contextuality in a quantum harmonic oscillator via pseudospin mapping

Physical potentials are routinely approximated to harmonic potentials so as to analytically solve the system dynamics. Often it is important to know when a quantum harmonic oscillator (QHO) behaves quantum mechanically and when classically. Recently Su et. al. [Phys. Rev. A {\bf 85}, 052126 (2012)] have theoretically shown that QHO exhibits quantum contextuality (QC) for a certain set of pseudospin observables. In this work, we encode the four eigenstates of a QHO onto four Zeeman product states of a pair of spin-1/2 nuclei. Using the techniques of NMR quantum information processing, we then demonstrate the violation of a state-dependent inequality arising from the noncontextual hidden variable model, under specific experimental arrangements. We also experimentally demonstrate the violation of a state-independent inequality by thermal equilibrium states of nuclear spins, thereby assessing their quantumness.Comment: 5 Pages, 3 Figures, context dependency illustrated, error below eq. 5 correcte

Instructive of Ooze Information

We study the following problem: A data distributor has given sensitive data to a set of supposedly trusted agents (third parties). Some of the data are leaked and bring into being in an unconstitutional place (e.g., on the web or somebody2019;s laptop). The distributor must evaluate the likelihood that the leaked data came from one or more agents, as opposed to having been independently gathered by other means. We propose data distribution strategies (across the agents) that improve the likelihood of identifying leakages. These methods do not rely on alterations of the released data (e.g., watermarks). In some cases, we can also inject 201C;realistic but replica201D; data records to further improve our chances of detecting leakage and identifying the guilty party. In the course of doing business, sometimes sensitive data must be handed over to supposedly trusted third parties. For example, a hospital may give patient records to Researchers who will devise new treatments. Similarly, a company may have partnerships with other companies that require sharing customer data. Another enterprise may outsource its data processing, so data must be given to various other companies. There always remains a risk of data getting leaked from the agent. Perturbation is a very valuable technique where the data are modified and made 201C;less sensitive201D; before being handed to agents. For example, one can add random noise to certain attributes, or one can replace exact values by ranges. But this technique requires modification of data. Leakage detection is handled by watermarking, e.g., a unique code is implanted in each distributed copy. If that copy is later discovered in the hands of an unconstitutional party, the leaker can be identified. But again it requires code modification. Watermarks can sometimes be destroyed if the data recipient is malicious

Experimental Modeling of NOx and PM Generation from Combustion of Various Biodiesel Blends for Urban Transport Buses

Biodiesel has diverse sources of feedstock and the amount and composition of its emissions vary significantly depending on combustion conditions. Results of laboratory and field tests reveal that nitrogen oxides (NOx) and particulate matter (PM) emissions from biodiesel are influenced more by combustion conditions than emissions from regular diesel. Therefore, NOx and PM emissions documented through experiments and modeling studies are the primary focus of this investigation. In addition, a comprehensive analysis of the feedstock-related combustion characteristics and pollutants are investigated. Research findings verify that the oxygen contents, the degree of unsaturation, and the size of the fatty acids in biodiesel are the most important factors that determine the amounts and compositions of NOx and PM emissions