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Zidek Jiri - One of the best experts on this subject based on the ideXlab platform.
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Addendum and update to Zidek (2020):Catalogue of species-group names assigned to \u3ci\u3eCopris\u3c/i\u3e Geoffroy, \u3ci\u3eCoptodactyla\u3c/i\u3e Burmeister, \u3ci\u3eLitocopris\u3c/i\u3e Waterhouse, \u3ci\u3eMicrocopris\u3c/i\u3e Balthasar, \u3ci
DigitalCommons@University of Nebraska - Lincoln, 2020Co-Authors: Zidek JiriAbstract:The catalogue of species-group names of nine Coprine genera (Coleoptera: Scarabaeidae: Scarabaeinae: Coprini), published earlier this year, is updated and revised. Presented are species-group taxa overlooked in compiling the catalogue and new species-group taxa described in 2020, i.e. after the cut-off date of the catalogue
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Catalogue of species-group names assigned to \u3ci\u3eCopris\u3c/i\u3e Geoffroy, \u3ci\u3eCoptodactyla\u3c/i\u3e Burmeister, \u3ci\u3eLitocopris\u3c/i\u3e Waterhouse, \u3ci\u3eMicrocopris\u3c/i\u3e Balthasar, \u3ci\u3eParacopris\u3c/i\u3e Balthasar,
DigitalCommons@University of Nebraska - Lincoln, 2020Co-Authors: Zidek JiriAbstract:Presented are species-group names published in the nine Coprine genera (Coleoptera: Scarabaeidae: Scarabaeinae: Coprini) having only one lateral carina on each elytron. The data include authorships, dates and pages of original descriptions, geographic distributions, and references to works pertinent to the topic. The following catalogue is a compilation intended to serve for orientation in the vast number of species names, their original generic / subgeneric assignments and pertinent references. A word of caution is in order concerning the dates of Ferreira’s papers in the Instituto de Investigação Científica de Moçambique periodicals, especially the Revista de Entomologia de Moçambique, which were often released a year or more after the date indicated on the title page and at the bottom of each following page of the monograph. This is also evidenced by the authoress referring to species described by her as new in another Revista paper released only a year later. Unfortunately, the real date of publication is apparent only from a hardly noticeable small-print statement in the center of otherwise empty outside back cover, which is not included in pdf versions of papers available in on-line bibliographies, and I have not been able to find these discrepancies corrected anywhere in on-line library records. The genera and species are listed alphabetically and, for convenience, names of species belonging to all other included genera are left in the first and longest Copris list, where they are annotated by the generic name in boldface (e.g. “see Litocopris”). As in any work of this nature, omissions can be expected and reporting them would be appreciated. The cut-off date of the literature search is December 2019
Jianjun Huang - One of the best experts on this subject based on the ideXlab platform.
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sparsity based space time adaptive processing for airborne radar with coprime array and coprime pulse repetition interval
International Conference on Acoustics Speech and Signal Processing, 2018Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime pulse repetition interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.
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ICASSP - Sparsity-Based Space-Time Adaptive Processing for Airborne Radar with Coprime Array and Coprime Pulse Repetition Interval
2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2018Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime pulse repetition interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.
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Space-Time Adaptive Processing for Airborne Radars With Space-Time Coprime Sampling Structure
IEEE Access, 2018Co-Authors: Xiaoye Wang, Zhaocheng Yang, Huiping Huang, Jianjun Huang, Mei JiangAbstract:Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom with low cost. In this paper, different from traditional airborne radar with uniform transmitting pulses, the considered radar is configured with a coprime array in receiver and transmits the pulses with coprime repetition intervals. Because this sampling structure violates the conditions of the conventional clutter rank estimation rules, we first propose a novel method to estimate the clutter rank based on effective aperture-bandwidth product. Then, two space-time adaptive processing (STAP) algorithms, namely, the sample matrix inverseand principal components-STAP, are proposed by using the reconstructed virtual space-time snapshots. Additionally, a thoroughly theoretical convergence analysis of the proposed algorithms is conducted. Exclusive simulation results are provided to demonstrate the effectiveness of the proposed STAP algorithms.
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space time adaptive processing for clutter suppression in coprime array and coprime pulse repetition interval airborne radar
International Symposium on Intelligent Signal Processing and Communication Systems, 2017Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime pulse repetition interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.
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ISPACS - Space-time adaptive processing for clutter suppression in coprime array and coprime pulse repetition interval airborne radar
2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2017Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime pulse repetition interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.
Xiaoye Wang - One of the best experts on this subject based on the ideXlab platform.
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sparsity based space time adaptive processing for airborne radar with coprime array and coprime pulse repetition interval
International Conference on Acoustics Speech and Signal Processing, 2018Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime pulse repetition interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.
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ICASSP - Sparsity-Based Space-Time Adaptive Processing for Airborne Radar with Coprime Array and Coprime Pulse Repetition Interval
2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2018Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime pulse repetition interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.
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Space-Time Adaptive Processing for Airborne Radars With Space-Time Coprime Sampling Structure
IEEE Access, 2018Co-Authors: Xiaoye Wang, Zhaocheng Yang, Huiping Huang, Jianjun Huang, Mei JiangAbstract:Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom with low cost. In this paper, different from traditional airborne radar with uniform transmitting pulses, the considered radar is configured with a coprime array in receiver and transmits the pulses with coprime repetition intervals. Because this sampling structure violates the conditions of the conventional clutter rank estimation rules, we first propose a novel method to estimate the clutter rank based on effective aperture-bandwidth product. Then, two space-time adaptive processing (STAP) algorithms, namely, the sample matrix inverseand principal components-STAP, are proposed by using the reconstructed virtual space-time snapshots. Additionally, a thoroughly theoretical convergence analysis of the proposed algorithms is conducted. Exclusive simulation results are provided to demonstrate the effectiveness of the proposed STAP algorithms.
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space time adaptive processing for clutter suppression in coprime array and coprime pulse repetition interval airborne radar
International Symposium on Intelligent Signal Processing and Communication Systems, 2017Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime pulse repetition interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.
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ISPACS - Space-time adaptive processing for clutter suppression in coprime array and coprime pulse repetition interval airborne radar
2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2017Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime pulse repetition interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.
Zhaocheng Yang - One of the best experts on this subject based on the ideXlab platform.
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sparsity based space time adaptive processing for airborne radar with coprime array and coprime pulse repetition interval
International Conference on Acoustics Speech and Signal Processing, 2018Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime pulse repetition interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.
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ICASSP - Sparsity-Based Space-Time Adaptive Processing for Airborne Radar with Coprime Array and Coprime Pulse Repetition Interval
2018 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2018Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:In this paper, we present a sparsity-based space-time adaptive processing (STAP) algorithm with coprime array and coprime pulse repetition interval (PRI). The considered space-time coprime configuration can significantly save the cost. However, the direct STAP does not exploit the advantage of the large aperture brought by coprime configuration and the recently developed spatial-temporal smoothed-based STAP requires a large number of training snapshots. To solve these issues, we propose a sparsity-based STAP algorithm by using the spacial-temporal sparsity of clutter in virtual domain. Simulation results show that the proposed algorithm can obtain a much higher output signal-to-interference-plus-noise ratio and improve the convergence speed.
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Space-Time Adaptive Processing for Airborne Radars With Space-Time Coprime Sampling Structure
IEEE Access, 2018Co-Authors: Xiaoye Wang, Zhaocheng Yang, Huiping Huang, Jianjun Huang, Mei JiangAbstract:Coprime arrays and coprime time samplers have been receiving attractive attention recently due to their advantages of large apertures and achievable degrees of freedom with low cost. In this paper, different from traditional airborne radar with uniform transmitting pulses, the considered radar is configured with a coprime array in receiver and transmits the pulses with coprime repetition intervals. Because this sampling structure violates the conditions of the conventional clutter rank estimation rules, we first propose a novel method to estimate the clutter rank based on effective aperture-bandwidth product. Then, two space-time adaptive processing (STAP) algorithms, namely, the sample matrix inverseand principal components-STAP, are proposed by using the reconstructed virtual space-time snapshots. Additionally, a thoroughly theoretical convergence analysis of the proposed algorithms is conducted. Exclusive simulation results are provided to demonstrate the effectiveness of the proposed STAP algorithms.
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space time adaptive processing for clutter suppression in coprime array and coprime pulse repetition interval airborne radar
International Symposium on Intelligent Signal Processing and Communication Systems, 2017Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime pulse repetition interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.
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ISPACS - Space-time adaptive processing for clutter suppression in coprime array and coprime pulse repetition interval airborne radar
2017 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), 2017Co-Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun HuangAbstract:This paper develops two novel space-time adaptive processing (STAP) filters for clutter suppression in airborne radar with the coprime space-time sampling, which is realized by the coprime array and coprime pulse repetition interval (PRI). Different from the conventional STAP filters, the proposed STAP filters are derived by three steps. Firstly, a virtual space-time snapshot is constructed using the property of the coprime sampling. Secondly, an equivalent covariance matrix with enhanced degrees of freedom is computed by using spatial-temporal smoothing approach. Thirdly, two optimal STAP filters are derived based on the estimated covariance matrix. Simulations are conducted to validate the effectiveness of the proposed filters.
Adela Mora-gutierrez - One of the best experts on this subject based on the ideXlab platform.
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Interface Compositions as Determinants of Resveratrol Stability in Nanoemulsion Delivery Systems
Foods (Basel Switzerland), 2020Co-Authors: Adela Mora-gutierrez, Rahmat Attaie, Maryuri Núñez De González, Yoonsung Jung, Sixto MarquezAbstract:The incorporation of hydrophobic ingredients, such as resveratrol (a fat-soluble phytochemical), in nanoemulsions can increase the water solubility and stability of these hydrophobic ingredients. The nanodelivery of resveratrol can result in a marked improvement in the bioavailability of this health-promoting ingredient. The current study hypothesized that resveratrol can bind to caprine casein, which may result in the preservation of the biological properties of resveratrol. The fluorescence spectra provided proof of this complex formation by demonstrating that resveratrol binds to caprine casein in the vicinity of tryptophan amino acid residues. The caprine casein/resveratrol complex is stabilized by hydrophobic interactions and hydrogen bonds. Hence, to study the rate of resveratrol degradation during processing/storage, resveratrol losses were determined by reversed-phase high performance liquid chromatography (RP-HPLC) in nanoemulsions stabilized by bovine and caprine caseins individually and in combination with polysorbate-20. At 48 h oxidation, 88.33% and 89.08% was left of resveratrol in the nanoemulsions stabilized by caprine casein (αs1-I)/polysorbate-20 complex and caprine (αs1-II)/polysorbate-20 complex, while there was less resveratrol left in the nanoemulsions stabilized by bovine casein/polysorbate-20 complex, suggesting that oxygen degradation was involved. The findings of this study are crucial for the food industry since they imply the potential use of caprine casein/polysorbate-20 complex to preserve the biological properties of resveratrol.
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Hydration of Native and Rennin-Treated, Cold-Solubilized Caprine Caseins as Determined by Oxygen-17 Nuclear Magnetic Resonance
Journal of Dairy Science, 2001Co-Authors: Adela Mora-gutierrez, Harold M. FarrelAbstract:Abstract The hydration of native and rennin-coagulated bovine and caprine caseins was investigated by oxygen-17 nuclear magnetic resonance (NMR) and fitted by nonlinear regression analysis. A charge-charge interaction model (B 0 ) was employed to analyze the transverse relaxation (1/T 2 ) data. Relaxation differences between reconstituted native micelles at 10°C and rennin-coagulated, cold-solubilized micelles of caseins strongly suggest that important structural dissimilarities exist between these milk proteins that are due to differences in the ratios of α s1 - to β-CN. Variants of α s1 -CN had significant effects on caprine casein hydration. The differences were more pronounced in rennin-coagulated than in native casein micelles. All rennin-coagulated, cold-solubilized casein micelles demonstrated significant decreases in hydration. Micelles containing low α s1 -CN retain an open, highly hydrated structure, in comparison with similarly treated bovine and caprine casein micelles containing high α s1 -CN. Second virial coefficients (B 0 values) derived from oxygen-17 NMR data suggest that reconstituted bovine and caprine casein micelles containing high α s1 -CN exhibit strong interactions, which at first decrease then increase during clotting. In contrast, the native caprine casein micelles containing low α s1 -CN exhibit strong charge repulsions, which increase with clotting. The compositional differences are reflected in differences in the extent of protein-protein aggregation during casein clotting by rennin. Our results demonstrate that alteration in casein composition can dramatically alter cheese-making properties.
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Oxygen-17 Nuclear Magnetic Resonance Studies of Bovine and Caprine Casein Hydration and Activity in Deuterated Sugar Solutions
Journal of Agricultural and Food Chemistry, 1997Co-Authors: Adela Mora-gutierrez, Thomas F. Kumosinski, Harold M FarrellAbstract:The hydration of bovine and genetically variable caprine caseins in D2O solutions of sucrose and lactose was investigated by oxygen-17 NMR and fitted by nonlinear regression analysis. A charge−charge interaction model was employed to analyze the transverse relaxation (1/T2) data. Lactose caused increased hydration of the bovine casein and the caprine casein naturally low in αs1-casein, whereas sucrose led to increased hydration of the caprine casein naturally high in αs1-casein. At pD 7.20 and 21 °C the effect of charge−charge repulsive interactions on the native caseins generally leads to decreased protein stability in bovine and caprine caseins. However, addition of sugars causes stronger (attractive) interactions yielding more stable casein complexes with increased hydration. The calculated preferential binding term −(∂gs/∂gp) for casein mixtures suggests that sucrose and lactose are “preferentially” excluded from these milk proteins, yielding greater access to much of the aqueous compartment. This is ...
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Comparison of Hydration Behavior of Bovine and Caprine Caseins As Determined by Oxygen-17 Nuclear Magnetic Resonance: Temperature Dependence of Colloidal Stability
Journal of Agricultural and Food Chemistry, 1996Co-Authors: Adela Mora-gutierrez, Harold M Farrell, Thomas F. KumosinskiAbstract:Oxygen-17 nuclear magnetic resonance (NMR) transverse relaxation rates for bovine and caprine casein micelles at various temperatures were analyzed by nonlinear regression analysis and a protein activity model. The dependence of the NMR transverse relaxation rates was markedly nonlinear due to interactions between protein molecules. Temperature dependences of the hydration parameters of the bovine and caprine casein micelles were in accordance with the hypothesis that hydrophobic interactions are the predominant forces responsible for the self-association of the caseins. Relaxation differences between reconstituted micelles of bovine and caprine caseins strongly suggest that important structural dissimilarities exist between these milk proteins that are due to differences in the ratios of αs1- to β-casein. A higher degree of hydration, characteristic of a more open and looser structure, is observed for caprine casein micelles high in αs1-casein at 21 and 37 °C. The observed hydration behavior of bovine ca...
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Comparison of Hydration Behavior of Bovine and Caprine Caseins As Determined by Oxygen-17 Nuclear Magnetic Resonance: Effects of Salt
Journal of Agricultural and Food Chemistry, 1995Co-Authors: Adela Mora-gutierrez, Harold M Farrell, Thomas F. KumosinskiAbstract:Oxygen-17 nuclear magnetic resonance (NMR) transverse relaxation measurements at 4.7 T were used to study the hydration properties of bovine and caprine casein solutions with and without NaCl. Measurements were carried out at 21 °C and pD 6.95. Nonlinear protein concentration dependences were observed for the oxygen-17 NMR transverse relaxation rates, but the fitting of the data did not require any higher order virial coefficients ; only B 0 was needed. This indicates that long-range, charge-charge repulsive interactions dominate entirely the protein activity in solution. Estimates of the bovine casein average net charge were obtained from the virial coefficient (B 0 ) and the partial specific volume ; these are in accord with published amino acid sequence data. For bovine casein, the α s1 - and β-components occur in nearly equal amounts, whereas in caprine casein, β-casein is the predominant species and α s1 -casein varies from high to low values, suggesting altered protein-protein interactions. Hydration levels of caprine casein high in the α s1 -casein component when compared with those of bovine casein (intermediate hydration) and the low α s1 -caprine casein (low hydration) are interpreted in terms of trapped water and preferential interactions with water on the basis of quantitative differences in casein monomer contents.