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Feasibility study for transforming spectral and instrumental artifacts for multivariate calibration maintenance.

Applied spectroscopy

Ottaway J, Kalivas JH.
PMID: 25664837
Appl Spectrosc. 2015 Mar;69(3):407-16. doi: 10.1366/14-07651. Epub 2015 Feb 01.

Frequently, a spectral-based multivariate calibration model formed on a particular instrument (primary) needs to predict samples measured on other (secondary) instruments of the same spectral type. This situation is often referred to as calibration maintenance or transfer. A new...

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Ottaway J, Kalivas JH. Feasibility study for transforming spectral and instrumental artifacts for multivariate calibration maintenance. Appl Spectrosc. 2015;69(3):407-16doi: 10.1366/14-07651.
Ottaway, J., & Kalivas, J. H. (2015). Feasibility study for transforming spectral and instrumental artifacts for multivariate calibration maintenance. Applied spectroscopy, 69(3), 407-16. https://doi.org/10.1366/14-07651
Ottaway, Joshua, and Kalivas, John H. "Feasibility study for transforming spectral and instrumental artifacts for multivariate calibration maintenance." Applied spectroscopy vol. 69,3 (2015): 407-16. doi: https://doi.org/10.1366/14-07651
Ottaway J, Kalivas JH. Feasibility study for transforming spectral and instrumental artifacts for multivariate calibration maintenance. Appl Spectrosc. 2015 Mar;69(3):407-16. doi: 10.1366/14-07651. Epub 2015 Feb 01. PMID: 25664837.
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Characterization of the frequency stability of frequency-hopping sources.

IEEE transactions on ultrasonics, ferroelectrics, and frequency control

Kalivas GA, Harrison RG.
PMID: 18267604
IEEE Trans Ultrason Ferroelectr Freq Control. 1991;38(5):429-35. doi: 10.1109/58.84287.

A method that applies time-domain stability measures, hitherto used only in the context of fixed-frequency sources, to the characterization of frequency-hopped sources is introduced. This method has been successfully applied to the testing of a novel practical frequency-hopping synthesizer....

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Kalivas GA, Harrison RG. Characterization of the frequency stability of frequency-hopping sources. IEEE Trans Ultrason Ferroelectr Freq Control. 1991;38(5):429-35doi: 10.1109/58.84287.
Kalivas, G. A., & Harrison, R. G. (1991). Characterization of the frequency stability of frequency-hopping sources. IEEE transactions on ultrasonics, ferroelectrics, and frequency control, 38(5), 429-35. https://doi.org/10.1109/58.84287
Kalivas, G A, and Harrison, R G. "Characterization of the frequency stability of frequency-hopping sources." IEEE transactions on ultrasonics, ferroelectrics, and frequency control vol. 38,5 (1991): 429-35. doi: https://doi.org/10.1109/58.84287
Kalivas GA, Harrison RG. Characterization of the frequency stability of frequency-hopping sources. IEEE Trans Ultrason Ferroelectr Freq Control. 1991;38(5):429-35. doi: 10.1109/58.84287. PMID: 18267604.
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Acousto-optic matrix-matrix multiplier.

Optics letters

Kalivas DS, Albanese G, Sawchuk AA.
PMID: 19745876
Opt Lett. 1988 Apr 01;13(4):291-3. doi: 10.1364/ol.13.000291.

A new architecture for an optical matrix-matrix multiplier is presented. It is based on the beam-modulation and Its parallel structure makes it very fast. Some physical limitations are discussed.

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Kalivas DS, Albanese G, Sawchuk AA. Acousto-optic matrix-matrix multiplier. Opt Lett. 1988;13(4):291-3doi: 10.1364/ol.13.000291.
Kalivas, D. S., Albanese, G., & Sawchuk, A. A. (1988). Acousto-optic matrix-matrix multiplier. Optics letters, 13(4), 291-3. https://doi.org/10.1364/ol.13.000291
Kalivas, D S, et al. "Acousto-optic matrix-matrix multiplier." Optics letters vol. 13,4 (1988): 291-3. doi: https://doi.org/10.1364/ol.13.000291
Kalivas DS, Albanese G, Sawchuk AA. Acousto-optic matrix-matrix multiplier. Opt Lett. 1988 Apr 01;13(4):291-3. doi: 10.1364/ol.13.000291. PMID: 19745876.
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A role for glutamate transmission in addiction to psychostimulants.

Addiction biology

Kalivas PW.
PMID: 20575849
Addict Biol. 2000 Jul 01;5(3):325-9. doi: 10.1111/j.1369-1600.2000.tb00199.x.

Abstract Psychostimulant addiction results in the emergence of undesirable behaviors such as drug craving and paranoia. Using animal models of addiction the neurobiological substrates mediating these behaviors have been examined. Studies have focused on cellular adaptations within the motive...

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Kalivas PW. A role for glutamate transmission in addiction to psychostimulants. Addict Biol. 2000;5(3):325-9doi: 10.1111/j.1369-1600.2000.tb00199.x.
Kalivas, P. W. (2000). A role for glutamate transmission in addiction to psychostimulants. Addiction biology, 5(3), 325-9. https://doi.org/10.1111/j.1369-1600.2000.tb00199.x
Kalivas, P W. "A role for glutamate transmission in addiction to psychostimulants." Addiction biology vol. 5,3 (2000): 325-9. doi: https://doi.org/10.1111/j.1369-1600.2000.tb00199.x
Kalivas PW. A role for glutamate transmission in addiction to psychostimulants. Addict Biol. 2000 Jul 01;5(3):325-9. doi: 10.1111/j.1369-1600.2000.tb00199.x. PMID: 20575849.
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Spectral multivariate calibration with wavelength selection using variants of Tikhonov regularization.

Applied spectroscopy

Ottaway J, Kalivas JH, Andries E.
PMID: 21144157
Appl Spectrosc. 2010 Dec;64(12):1388-95. doi: 10.1366/000370210793561655.

Tikhonov regularization (TR) is a general method that can be used to form a multivariate calibration model and numerous variants of it exist, including ridge regression (RR). This paper reports on the unique flexibility of TR to form a...

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Ottaway J, Kalivas JH, Andries E. Spectral multivariate calibration with wavelength selection using variants of Tikhonov regularization. Appl Spectrosc. 2010;64(12):1388-95doi: 10.1366/000370210793561655.
Ottaway, J., Kalivas, J. H., & Andries, E. (2010). Spectral multivariate calibration with wavelength selection using variants of Tikhonov regularization. Applied spectroscopy, 64(12), 1388-95. https://doi.org/10.1366/000370210793561655
Ottaway, Joshua, et al. "Spectral multivariate calibration with wavelength selection using variants of Tikhonov regularization." Applied spectroscopy vol. 64,12 (2010): 1388-95. doi: https://doi.org/10.1366/000370210793561655
Ottaway J, Kalivas JH, Andries E. Spectral multivariate calibration with wavelength selection using variants of Tikhonov regularization. Appl Spectrosc. 2010 Dec;64(12):1388-95. doi: 10.1366/000370210793561655. PMID: 21144157.
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Polyvinyl alcohol-montmorillonite composites for water purification: Analysis of clay mineral cation exchange and composite particle synthesis.

Polyhedron

Brown K, Mendoza M, Tinsley T, Bee-DiGregorio MY, Bible M, Brooks JL, Colorado M, Esenther J, Farag A, Gill R, Kalivas EN, Lara R, Lutz A, Nazaire J, Rasines Mazo A, Rodriguez RS, Schwabacher JC, Zestos AG, Hartings MR, Fox DM.
PMID: 34305255
Polyhedron. 2021 Sep 01;205. doi: 10.1016/j.poly.2021.115297. Epub 2021 May 29.

Municipal and residential water purification rely heavily on activated carbon (AC), but regeneration of AC is costly and cannot be performed at the point-of-use. Clay minerals (CMs) comprise a class of naturally abundant materials with known capacities for analyte...

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Brown K, Mendoza M, Tinsley T, et al. Polyvinyl alcohol-montmorillonite composites for water purification: Analysis of clay mineral cation exchange and composite particle synthesis. Polyhedron. 2021;205doi: 10.1016/j.poly.2021.115297.
Brown, K., Mendoza, M., Tinsley, T., Bee-DiGregorio, M. Y., Bible, M., Brooks, J. L., Colorado, M., Esenther, J., Farag, A., Gill, R., Kalivas, E. N., Lara, R., Lutz, A., Nazaire, J., Rasines Mazo, A., Rodriguez, R. S., Schwabacher, J. C., Zestos, A. G., Hartings, M. R., & Fox, D. M. (2021). Polyvinyl alcohol-montmorillonite composites for water purification: Analysis of clay mineral cation exchange and composite particle synthesis. Polyhedron, 205. https://doi.org/10.1016/j.poly.2021.115297
Brown, Karlena, et al. "Polyvinyl alcohol-montmorillonite composites for water purification: Analysis of clay mineral cation exchange and composite particle synthesis." Polyhedron vol. 205 (2021). doi: https://doi.org/10.1016/j.poly.2021.115297
Brown K, Mendoza M, Tinsley T, Bee-DiGregorio MY, Bible M, Brooks JL, Colorado M, Esenther J, Farag A, Gill R, Kalivas EN, Lara R, Lutz A, Nazaire J, Rasines Mazo A, Rodriguez RS, Schwabacher JC, Zestos AG, Hartings MR, Fox DM. Polyvinyl alcohol-montmorillonite composites for water purification: Analysis of clay mineral cation exchange and composite particle synthesis. Polyhedron. 2021 Sep 01;205. doi: 10.1016/j.poly.2021.115297. Epub 2021 May 29. PMID: 34305255; PMCID: PMC8297557.
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Characterization of the Genetic Diversity Present in a Diverse Sesame Landrace Collection Based on Phenotypic Traits and EST-SSR Markers Coupled With an HRM Analysis.

Plants (Basel, Switzerland)

Stavridou E, Lagiotis G, Kalaitzidou P, Grigoriadis I, Bosmali I, Tsaliki E, Tsiotsiou S, Kalivas A, Ganopoulos I, Madesis P.
PMID: 33808174
Plants (Basel). 2021 Mar 30;10(4). doi: 10.3390/plants10040656.

A selection of sesame (

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Stavridou E, Lagiotis G, Kalaitzidou P, et al. Characterization of the Genetic Diversity Present in a Diverse Sesame Landrace Collection Based on Phenotypic Traits and EST-SSR Markers Coupled With an HRM Analysis. Plants (Basel). 2021;10(4)doi: 10.3390/plants10040656.
Stavridou, E., Lagiotis, G., Kalaitzidou, P., Grigoriadis, I., Bosmali, I., Tsaliki, E., Tsiotsiou, S., Kalivas, A., Ganopoulos, I., & Madesis, P. (2021). Characterization of the Genetic Diversity Present in a Diverse Sesame Landrace Collection Based on Phenotypic Traits and EST-SSR Markers Coupled With an HRM Analysis. Plants (Basel, Switzerland), 10(4), . https://doi.org/10.3390/plants10040656
Stavridou, Evangelia, et al. "Characterization of the Genetic Diversity Present in a Diverse Sesame Landrace Collection Based on Phenotypic Traits and EST-SSR Markers Coupled With an HRM Analysis." Plants (Basel, Switzerland) vol. 10,4 (2021). doi: https://doi.org/10.3390/plants10040656
Stavridou E, Lagiotis G, Kalaitzidou P, Grigoriadis I, Bosmali I, Tsaliki E, Tsiotsiou S, Kalivas A, Ganopoulos I, Madesis P. Characterization of the Genetic Diversity Present in a Diverse Sesame Landrace Collection Based on Phenotypic Traits and EST-SSR Markers Coupled With an HRM Analysis. Plants (Basel). 2021 Mar 30;10(4). doi: 10.3390/plants10040656. PMID: 33808174; PMCID: PMC8066031.
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Extrasynaptic therapeutic targets in substance use and stress disorders.

Trends in pharmacological sciences

Hodebourg R, Kalivas PW, Kruyer A.
PMID: 34753604
Trends Pharmacol Sci. 2022 Jan;43(1):56-68. doi: 10.1016/j.tips.2021.10.006. Epub 2021 Nov 06.

Treatments for substance use and stress disorders are based on ameliorating behavioral symptoms, not on reversing the synaptic pathology that has the potential to cure disorders. This failing arises in part from a research focus on how pre- and...

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Hodebourg R, Kalivas PW, Kruyer A. Extrasynaptic therapeutic targets in substance use and stress disorders. Trends Pharmacol Sci. 2021;43(1):56-68doi: 10.1016/j.tips.2021.10.006.
Hodebourg, R., Kalivas, P. W., & Kruyer, A. (2022). Extrasynaptic therapeutic targets in substance use and stress disorders. Trends in pharmacological sciences, 43(1), 56-68. https://doi.org/10.1016/j.tips.2021.10.006
Hodebourg, Ritchy, et al. "Extrasynaptic therapeutic targets in substance use and stress disorders." Trends in pharmacological sciences vol. 43,1 (2022): 56-68. doi: https://doi.org/10.1016/j.tips.2021.10.006
Hodebourg R, Kalivas PW, Kruyer A. Extrasynaptic therapeutic targets in substance use and stress disorders. Trends Pharmacol Sci. 2022 Jan;43(1):56-68. doi: 10.1016/j.tips.2021.10.006. Epub 2021 Nov 06. PMID: 34753604.
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Whole-genome resequencing of .

Horticulture research

Xanthopoulou A, Montero-Pau J, Mellidou I, Kissoudis C, Blanca J, Picó B, Tsaballa A, Tsaliki E, Dalakouras A, Paris HS, Ganopoulou M, Moysiadis T, Osathanunkul M, Tsaftaris A, Madesis P, Kalivas A, Ganopoulos I.
PMID: 31645952
Hortic Res. 2019 Aug 11;6:94. doi: 10.1038/s41438-019-0176-9. eCollection 2019.

No abstract available.

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Xanthopoulou A, Montero-Pau J, Mellidou I, et al. Whole-genome resequencing of . Hortic Res. 2019;6:94doi: 10.1038/s41438-019-0176-9.
Xanthopoulou, A., Montero-Pau, J., Mellidou, I., Kissoudis, C., Blanca, J., Picó, B., Tsaballa, A., Tsaliki, E., Dalakouras, A., Paris, H. S., Ganopoulou, M., Moysiadis, T., Osathanunkul, M., Tsaftaris, A., Madesis, P., Kalivas, A., & Ganopoulos, I. (2019). Whole-genome resequencing of . Horticulture research, 694. https://doi.org/10.1038/s41438-019-0176-9
Xanthopoulou, Aliki, et al. "Whole-genome resequencing of ." Horticulture research vol. 6 (2019): 94. doi: https://doi.org/10.1038/s41438-019-0176-9
Xanthopoulou A, Montero-Pau J, Mellidou I, Kissoudis C, Blanca J, Picó B, Tsaballa A, Tsaliki E, Dalakouras A, Paris HS, Ganopoulou M, Moysiadis T, Osathanunkul M, Tsaftaris A, Madesis P, Kalivas A, Ganopoulos I. Whole-genome resequencing of . Hortic Res. 2019 Aug 11;6:94. doi: 10.1038/s41438-019-0176-9. eCollection 2019. PMID: 31645952; PMCID: PMC6804688.
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Comparative metagenomics reveals alterations in the soil bacterial community driven by N-fertilizer and Amino 16® application in lettuce.

Genomics data

Kalivas A, Ganopoulos I, Psomopoulos F, Grigoriadis I, Xanthopoulou A, Hatzigiannakis E, Osathanunkul M, Tsaftaris A, Madesis P.
PMID: 28794989
Genom Data. 2017 Aug 02;14:14-17. doi: 10.1016/j.gdata.2017.07.013. eCollection 2017 Dec.

Nutrients in the form of fertilizers and/or other additives such as amino acids, dramatically influence plant development and growth, plant nutrient composition and the level of soil pollution. Moreover, the treatment of soil microbiota is emerging as a new...

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Kalivas A, Ganopoulos I, Psomopoulos F, et al. Comparative metagenomics reveals alterations in the soil bacterial community driven by N-fertilizer and Amino 16® application in lettuce. Genom Data. 2017;14:14-17doi: 10.1016/j.gdata.2017.07.013.
Kalivas, A., Ganopoulos, I., Psomopoulos, F., Grigoriadis, I., Xanthopoulou, A., Hatzigiannakis, E., Osathanunkul, M., Tsaftaris, A., & Madesis, P. (2017). Comparative metagenomics reveals alterations in the soil bacterial community driven by N-fertilizer and Amino 16® application in lettuce. Genomics data, 1414-17. https://doi.org/10.1016/j.gdata.2017.07.013
Kalivas, Apostolos, et al. "Comparative metagenomics reveals alterations in the soil bacterial community driven by N-fertilizer and Amino 16® application in lettuce." Genomics data vol. 14 (2017): 14-17. doi: https://doi.org/10.1016/j.gdata.2017.07.013
Kalivas A, Ganopoulos I, Psomopoulos F, Grigoriadis I, Xanthopoulou A, Hatzigiannakis E, Osathanunkul M, Tsaftaris A, Madesis P. Comparative metagenomics reveals alterations in the soil bacterial community driven by N-fertilizer and Amino 16® application in lettuce. Genom Data. 2017 Aug 02;14:14-17. doi: 10.1016/j.gdata.2017.07.013. eCollection 2017 Dec. PMID: 28794989; PMCID: PMC5547230.
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Understanding Addiction Using Animal Models.

Frontiers in behavioral neuroscience

Kuhn BN, Kalivas PW, Bobadilla AC.
PMID: 31849622
Front Behav Neurosci. 2019 Nov 29;13:262. doi: 10.3389/fnbeh.2019.00262. eCollection 2019.

Drug addiction is a neuropsychiatric disorder with grave personal consequences that has an extraordinary global economic impact. Despite decades of research, the options available to treat addiction are often ineffective because our rudimentary understanding of drug-induced pathology in brain...

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Kuhn BN, Kalivas PW, Bobadilla AC. Understanding Addiction Using Animal Models. Front Behav Neurosci. 2019;13:262doi: 10.3389/fnbeh.2019.00262.
Kuhn, B. N., Kalivas, P. W., & Bobadilla, A. C. (2019). Understanding Addiction Using Animal Models. Frontiers in behavioral neuroscience, 13262. https://doi.org/10.3389/fnbeh.2019.00262
Kuhn, Brittany N, et al. "Understanding Addiction Using Animal Models." Frontiers in behavioral neuroscience vol. 13 (2019): 262. doi: https://doi.org/10.3389/fnbeh.2019.00262
Kuhn BN, Kalivas PW, Bobadilla AC. Understanding Addiction Using Animal Models. Front Behav Neurosci. 2019 Nov 29;13:262. doi: 10.3389/fnbeh.2019.00262. eCollection 2019. PMID: 31849622; PMCID: PMC6895146.
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Correction to Consensus Outlier Detection Using Sum of Ranking Differences of Common and New Outlier Measures Without Tuning Parameter Selections.

Analytical chemistry

Brownfield B, Kalivas JH.
PMID: 28800222
Anal Chem. 2017 Sep 05;89(17):9609. doi: 10.1021/acs.analchem.7b02828. Epub 2017 Aug 11.

No abstract available.

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Brownfield B, Kalivas JH. Correction to Consensus Outlier Detection Using Sum of Ranking Differences of Common and New Outlier Measures Without Tuning Parameter Selections. Anal Chem. 2017;89(17):9609doi: 10.1021/acs.analchem.7b02828.
Brownfield, B., & Kalivas, J. H. (2017). Correction to Consensus Outlier Detection Using Sum of Ranking Differences of Common and New Outlier Measures Without Tuning Parameter Selections. Analytical chemistry, 89(17), 9609. https://doi.org/10.1021/acs.analchem.7b02828
Brownfield, Brett, and Kalivas, John H. "Correction to Consensus Outlier Detection Using Sum of Ranking Differences of Common and New Outlier Measures Without Tuning Parameter Selections." Analytical chemistry vol. 89,17 (2017): 9609. doi: https://doi.org/10.1021/acs.analchem.7b02828
Brownfield B, Kalivas JH. Correction to Consensus Outlier Detection Using Sum of Ranking Differences of Common and New Outlier Measures Without Tuning Parameter Selections. Anal Chem. 2017 Sep 05;89(17):9609. doi: 10.1021/acs.analchem.7b02828. Epub 2017 Aug 11. PMID: 28800222.
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Showing 1 to 12 of 53 entries