Quantum pattern recognition techniques have recently raised attention as potential candidates in analyzing vast amount of data. The necessity to obtain faster ways to process data is imperative where data generation is rapid. The ever-growing size of sequence databases caused by the development of high throughput sequencing is unprecedented. Current alignment methods have blossomed overnight but there is still the need for more efficient methods that preserve accuracy in high levels. In this work, a complex method is proposed to treat the alignment problem better than its classical counterparts by means of quantum computation. The basic principal of the standard dot-plot method is combined with a quantum algorithm, giving insight into the effect of quantum pattern recognition on pairwise alignment. The central feature of quantum algorithmic -quantum parallelism- and the diffraction patterns of x-rays are synthesized to provide a clever array indexing structure on the growing sequence databases. A completely different approach is considered in contrast to contemporary conventional aligners and a variety of competitive classical counterparts are classified and organized in order to compare with the quantum setting. The proposed method seems to exhibit high alignment quality and prevail among the others in terms of time and space complexity.
An efficient analytical method is presented involving effective sample clean-up with solid-phase extraction and HPLC-UV analysis for the simultaneous determination of carbendazim, thiabendazole, and o-phenylphenol residues in lemons. Sample preparation involves extraction with acetonitrile acidified with trifluoroacetic acid and an ethyl acetate/petroleum ether mixture. Purification of the crude extract was carried out with liquid-liquid partitioning after addition of an aqueous ammonia solution. Final clean-up was performed on polymeric reversed-phase cartridges pretreated with sodium dodecyl sulfate. Chromatographic analysis was performed on a reversed-phase HPLC column isocratically eluted with an acetonitrile/water/ammonia mixture and UV detection at 254 nm. The chromatographic method is repeatable, reproducible, and sensitive. Fungicide recoveries from lemon samples fortified at levels of 5 and 1 mg kg(-1) were 81-85% for carbendazim, 96-98% for thiabendazole, and 81-106% for o-phenylphenol with coefficients of variation of 2.5-7.4%. Detection limits for carbendazim, thiabendazole, and o-phenylphenol in lemons were 0.21, 0.27, and 0.51 mg kg(-1), respectively.
SummaryA capillary electrophoretic method for the determination of l",,vo benzimiclazoJe fungicides, carbenclazim and thiabenclazole, in lemons has been developed. The l",,vo fungicides were separated in a Iow-pH phosphate buffer containing acetonitrile. Reproducibility tests measuring both migration times and peak areas gave low relative standard-deviation values. Calibration graphs were linear and the detection limits, defined as a signal-to-noise ratio of 3:1, were 2.3 and 2.0 ~g mL 1 for thiabendazole and carbendazim, respectively. Analysis of carbendazim and thiabendazole residues in lemons was performed after lemon homogenization, extraction with ethyl acetate and purification through a series of separatory-funnel, acid-base partitions. This lemon clean-up procedure ensured no interference in the capillary electrophoretic analysis from lemon endogenous ingredients.
A model of quantum information processing is proposed for applications in health-care and assistive environments. It uses implanted nano-chips which could incorporate quantum computing technology and make use of the advantages of high computing and large memory capacity of a quantum system to the data storage procedure of a medical sensor. Quantum information and its storage has not yet been physically demonstrated due to the problem of decoherence that dominates such quantum systems. Fault-tolerant quantum error-correction (QEC) circuits have done great efforts to reduce the noise level. In this work a QEC circuit simulator is proposed which takes into consideration the memory noise and the gate noise produced during the evolving process of qubits. For any computational step the probability crash is estimated under different error rates and various parameters. A case study is presented involving data recorded by a pacemaker.
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