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  • 1
    Online Resource
    Online Resource
    An Adaptive Sparsity Estimation KSVD Dictionary Construction Method for Compressed Sensing of Transient Signal
    Hindawi Limited ; 2022
    In:  Mathematical Problems in Engineering Vol. 2022 ( 2022-7-20), p. 1-12
    Details
    In: Mathematical Problems in Engineering, Hindawi Limited, Vol. 2022 ( 2022-7-20), p. 1-12
    Abstract: Overcomplete dictionaries occupy an essential position in the sparse representation of signals. The dictionary construction method typically represented by K singular value decomposition (KSVD) is widely used because of its concise and efficient features. In this paper, based on the background of transient signal detection, an adaptive sparse estimation KSVD (ASE-KSVD) dictionary training method is proposed to solve the redundant iteration problem caused by fixed sparsity in existing KSVD dictionary construction. The algorithm features an adaptive sparsity estimation strategy in the sparse coding stage, which adjusts the number of iterations required for dictionary training based on the pre-estimation of the sample signal characteristics. The aim is to decrease the number of solutions of the underdetermined system of equations, reduce the overfitting error under the finite sparsity condition, and improve overall training efficiency. We compare four similar algorithms under the speech signal and actual shock wave sensor network data conditions, respectively. The results show that the proposed algorithm has obvious performance advantages and can be applied to real-life scenarios.
    Type of Medium: Online Resource
    ISSN: 1563-5147 , 1024-123X
    URL: Article
    DOI: 10.1155/2022/6489917
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2014442-8
    SSG: 11
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  • 2
    Online Resource
    Online Resource
    Glutaraldehyde-Polymerized Hemoglobin: In Search of Improved Performance as Oxygen Carrier in Hemorrhage Models
    Hindawi Limited ; 2020
    In:  Bioinorganic Chemistry and Applications Vol. 2020 ( 2020-09-01), p. 1-11
    Details
    In: Bioinorganic Chemistry and Applications, Hindawi Limited, Vol. 2020 ( 2020-09-01), p. 1-11
    Abstract: Hemoglobin- (Hb-) based oxygen carriers (HBOC) have for several decades been explored for treatment of hemorrhage. In our previous top-up tests, HBOC with lower in vitro prooxidant reactivity (incorporating a peroxidase or serum albumin to this end) showed a measurable but small improvement of oxidative stress-related parameters. Here, such HBOCs are tested in a hemorrhage set-up; ovine hemoglobin is also tested for the first time in such a setting, based on in vitro data showing its improved performance versus bovine Hb against oxidative and nitrosative stress agents. Indeed, ovine Hb performs better than bovine Hb in terms of survival rates, arterial tension, immunology, and histology. On the other hand, unlike in the top-up models, where the nonheme peroxidase rubrerythrin as well as bovine serum albumin copolymerized with Hb were shown to improve the performance of HBOC, in the present hemorrhage models rubrerythrin fails dramatically as HBOC ingredient (with a distinct immunological reaction), whereas serum albumin appears not feasible if its source is a different species (i.e., bovine serum albumin fares distinctly worse than rat serum albumin, in HBOC transfusions in rats). An effect of the matrix in which the HBOCs are dissolved (PBS versus gelofusine versus plasma) is noted.
    Type of Medium: Online Resource
    ISSN: 1565-3633 , 1687-479X
    URL: Article
    DOI: 10.1155/2020/1096573
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2020
    detail.hit.zdb_id: 2213020-2
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  • 3
    Online Resource
    Online Resource
    Oxidative Stress and the Microbiota-Gut-Brain Axis
    Hindawi Limited ; 2018
    In:  Oxidative Medicine and Cellular Longevity Vol. 2018 ( 2018-12-09), p. 1-12
    Details
    In: Oxidative Medicine and Cellular Longevity, Hindawi Limited, Vol. 2018 ( 2018-12-09), p. 1-12
    Abstract: The gut-brain axis is increasingly recognized as an important pathway of communication and of physiological regulation, and gut microbiota seems to play a significant role in this mutual relationship. Oxidative stress is one of the most important pathogenic mechanisms for both neurodegenerative diseases, such as Alzheimer’s or Parkinson’s, and acute conditions, such as stroke or traumatic brain injury. A peculiar microbiota type might increase brain inflammation and reactive oxygen species levels and might favor abnormal aggregation of proteins. Reversely, brain lesions of various etiologies result in alteration of gut properties and microbiota. These recent hypotheses could open a door for new therapeutic approaches in various neurological diseases.
    Type of Medium: Online Resource
    ISSN: 1942-0900 , 1942-0994
    URL: Article
    DOI: 10.1155/2018/2406594
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2018
    detail.hit.zdb_id: 2455981-7
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  • 4
    Online Resource
    Online Resource
    Glutaraldehyde-Polymerized Hemerythrin: Evaluation of Performance as an Oxygen Carrier in Hemorrhage Models
    Hindawi Limited ; 2022
    In:  Bioinorganic Chemistry and Applications Vol. 2022 ( 2022-12-30), p. 1-6
    Details
    In: Bioinorganic Chemistry and Applications, Hindawi Limited, Vol. 2022 ( 2022-12-30), p. 1-6
    Abstract: Hemoglobin-based oxygen carriers (HBOCs) have been proposed and tested for several decades for the treatment of hemorrhage. We have previously proposed replacing hemoglobin (Hb) in HBOC with the oxygen-carrying protein hemerythrin (Hr), from marine worms, showing that Hr-based derivatives can perform at least as well or even better than Hb-based HBOC in a range of in vitro assays involving oxidative and nitrosative stress as well as in top-up animal models, where small amounts of Hr- or Hb-HBOC were injected into rats. Here, these experiments are extended to a hemorrhage experiment, in which Hr polymerized with glutaraldehyde, alone or conjugated with human serum albumin, is administered after a loss of 20–30% blood volume. The performance of these preparations is compared with that of Hb-based HBOC measured under the same conditions. Polymerized Hr is found to decrease the survival rate and can hence cannot be used as an oxygen carrier in transfusions. On the other hand, an Hr-albumin copolymer restores survival rates to 100% and generally yields biochemical and histological parameters similar to those of glutaraldehyde-polymerized bovine hemoglobin, with the exception of an acid-base imbalance. The latter may be solved by employing an allogeneic albumin as opposed to the human albumin employed in the present study.
    Type of Medium: Online Resource
    ISSN: 1687-479X , 1565-3633
    URL: Article
    DOI: 10.1155/2022/2209101
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2022
    detail.hit.zdb_id: 2213020-2
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  • 5
    Online Resource
    Online Resource
    Feasibility Pump Algorithm for Sparse Representation under Laplacian Noise
    Hindawi Limited ; 2019
    In:  Mathematical Problems in Engineering Vol. 2019 ( 2019-02-24), p. 1-9
    Details
    In: Mathematical Problems in Engineering, Hindawi Limited, Vol. 2019 ( 2019-02-24), p. 1-9
    Abstract: The Feasibility Pump is an effective heuristic method for solving mixed integer optimization programs. In this paper the algorithm is adapted for finding the sparse representation of signals affected by Laplacian noise. Two adaptations of the algorithm, regularized and nonregularized, are proposed, tested, and compared against the regularized least absolute deviation (RLAD) model. The obtained results show that the addition of the regularization factor always improves the algorithm. The regularized version of the algorithm also offers better results than the RLAD model in all cases. The Feasibility Pump recovers the sparse representation with good accuracy while using a very small computation time when compared with other mixed integer methods.
    Type of Medium: Online Resource
    ISSN: 1024-123X , 1563-5147
    URL: Article
    DOI: 10.1155/2019/5615243
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2014442-8
    SSG: 11
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