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G Theodoridis

Showing results (21-30 of 41) with videos related to

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Nature Human Behaviour|May 19, 2022
Negative partisanship is not more prevalent than positive partisanshipAmber Hye-Yon Lee, Yphtach Lelkes, Carlee B Hawkins, et al.
Australian Paediatric Journal|March 1, 1971
Plasma growth hormone levels in children with the Prader-Willi syndromeC G Theodoridis, G A Brown, G W Chance, et al.
Journal of Analytical Toxicology|January 27, 2018
Quantification of 15 Psychotropic Drugs in Serum and Postmortem Blood Samples after a Modified Mini-QuEChERS by UHPLC-MS-MSA Pouliopoulos, E Tsakelidou, A Krokos, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|December 12, 2018
Targeted urine metabolomics in preterm neonates with intraventricular hemorrhageK Sarafidis, O Begou, O Deda, et al.
Applied and Environmental Microbiology|May 1, 1989
Microbial transformation of the tetrazolinone herbicide f5231M J Schocken, R W Creekmore, G Theodoridis, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|November 26, 2016
A GC-MS method for the detection and quantitation of ten major drugs of abuse in human hair samplesA Orfanidis, O Mastrogianni, A Koukou, et al.
Chemosphere|May 23, 2021
Biodegradation of expanded polystyrene by mealworm larvae under different feeding strategies evaluated by metabolic profiling using GC-TOF-MSE D Tsochatzis, I E Berggreen, J V Nørgaard, et al.
Bioanalysis|December 22, 2011
Extraction methods for the removal of phospholipids and other endogenous material from a biological fluidF Michopoulos, A M Edge, Y-T Hui, et al.
Hippokratia|November 21, 2018
Urine metabolomic profile in neonates with hypoxic-ischemic encephalopa-thyK Sarafidis, N Efstathiou, O Begou, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|January 30, 2022
Quantitative structure retention relationship (QSRR) modelling for Analytes' retention prediction in LC-HRMS by applying different Machine Learning algorithms and evaluating their performanceT Liapikos, C Zisi, D Kodra, et al.
Pageof 5

Showing results (21-30 of 41) with videos related to

Sort By:
Pageof 5
Nature Human Behaviour|May 19, 2022
Negative partisanship is not more prevalent than positive partisanshipAmber Hye-Yon Lee, Yphtach Lelkes, Carlee B Hawkins, et al.
Australian Paediatric Journal|March 1, 1971
Plasma growth hormone levels in children with the Prader-Willi syndromeC G Theodoridis, G A Brown, G W Chance, et al.
Journal of Analytical Toxicology|January 27, 2018
Quantification of 15 Psychotropic Drugs in Serum and Postmortem Blood Samples after a Modified Mini-QuEChERS by UHPLC-MS-MSA Pouliopoulos, E Tsakelidou, A Krokos, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|December 12, 2018
Targeted urine metabolomics in preterm neonates with intraventricular hemorrhageK Sarafidis, O Begou, O Deda, et al.
Applied and Environmental Microbiology|May 1, 1989
Microbial transformation of the tetrazolinone herbicide f5231M J Schocken, R W Creekmore, G Theodoridis, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|November 26, 2016
A GC-MS method for the detection and quantitation of ten major drugs of abuse in human hair samplesA Orfanidis, O Mastrogianni, A Koukou, et al.
Chemosphere|May 23, 2021
Biodegradation of expanded polystyrene by mealworm larvae under different feeding strategies evaluated by metabolic profiling using GC-TOF-MSE D Tsochatzis, I E Berggreen, J V Nørgaard, et al.
Bioanalysis|December 22, 2011
Extraction methods for the removal of phospholipids and other endogenous material from a biological fluidF Michopoulos, A M Edge, Y-T Hui, et al.
Hippokratia|November 21, 2018
Urine metabolomic profile in neonates with hypoxic-ischemic encephalopa-thyK Sarafidis, N Efstathiou, O Begou, et al.
Journal of Chromatography. B, Analytical Technologies in the Biomedical and Life Sciences|January 30, 2022
Quantitative structure retention relationship (QSRR) modelling for Analytes' retention prediction in LC-HRMS by applying different Machine Learning algorithms and evaluating their performanceT Liapikos, C Zisi, D Kodra, et al.
Pageof 5