Espace des ressources électronique en libre accès Bibliothèque de la Faculté SNVST de L'UAMOB
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Ouvrages de la bibliothèque en indexation 571 (3)



Genomic selection experiment in Lacaune dairy sheep : Progeny test results of rams initially selected either on parent average or on genomic prediction / Guillaume G. Baloche
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Titre : Genomic selection experiment in Lacaune dairy sheep : Progeny test results of rams initially selected either on parent average or on genomic prediction Type de document : document électronique Auteurs : Guillaume G. Baloche, Auteur ; Jean-Michel Astruc, Auteur Editeur : American Society of Animal Science Année de publication : 2013 Note générale : 10. World Congress on Genetics Applied to Livestock Production (WCGALP) Langues : Anglais (eng) Catégories : 571 Physiologie générale et sujets connexes Physiology and related subjectsTags : dairy sheep lacaune breed genomic selection experiment [q-bio] Index. décimale : 571 Résumé : A genomic selection experiment was carried out for the AI dairy Lacaune rams born in 2011: within 46 sires, 200 and 128 sons have been progeny tested,respectively after usual parent average preselection (classical rams), or after a genomic preselection of around one third (genomic rams). The superiority of the genomic rams (GR) compared to classical rams (CR) for the total merit index (TMI) was underestimated by 58 % using BLUP versus using single-step GBLUP: the true breeding value superiority of GR compared to CR was estimated to 0.52 TMI standard deviation, so that only 24 % of GR were eliminated versus 48 % of CR according to the TMI threshold used to select the proven rams. En ligne : https://hal.inrae.fr/hal-02742682 Format de la ressource électronique : Genomic selection experiment in Lacaune dairy sheep : Progeny test results of rams initially selected either on parent average or on genomic prediction [document électronique] / Guillaume G. Baloche, Auteur ; Jean-Michel Astruc, Auteur . - American Society of Animal Science, 2013.
10. World Congress on Genetics Applied to Livestock Production (WCGALP)
Langues : Anglais (eng)
Catégories : 571 Physiologie générale et sujets connexes Physiology and related subjectsTags : dairy sheep lacaune breed genomic selection experiment [q-bio] Index. décimale : 571 Résumé : A genomic selection experiment was carried out for the AI dairy Lacaune rams born in 2011: within 46 sires, 200 and 128 sons have been progeny tested,respectively after usual parent average preselection (classical rams), or after a genomic preselection of around one third (genomic rams). The superiority of the genomic rams (GR) compared to classical rams (CR) for the total merit index (TMI) was underestimated by 58 % using BLUP versus using single-step GBLUP: the true breeding value superiority of GR compared to CR was estimated to 0.52 TMI standard deviation, so that only 24 % of GR were eliminated versus 48 % of CR according to the TMI threshold used to select the proven rams. En ligne : https://hal.inrae.fr/hal-02742682 Format de la ressource électronique : Influence of gender, obesity, and muscle lipase activity on intramyocellular lipids in sedentary individuals / Cédric Moro
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Titre : Influence of gender, obesity, and muscle lipase activity on intramyocellular lipids in sedentary individuals Type de document : document électronique Auteurs : Cédric Moro, Auteur ; Jose E. Galgani, Auteur ; Lanchi Luu, Auteur ; Magdalena Pasarica, Auteur ; Aline Mairal, Auteur ; Sudip Bajpeyi, Auteur ; Gerd Schmitz, Auteur ; Dominique Langin, Auteur ; Gerhard Liebisch, Auteur ; Steven R. Smith, Auteur Année de publication : 2009 Langues : Anglais (eng) Catégories : 571 Physiologie générale et sujets connexes Physiology and related subjectsTags : Adult Aged Muscle,Skeletal Obesity Sex Factors Triglycerides Ceramides Diglycerides Female Humans Insulin Resistance Lipase Male Middle Aged Sciences du Vivant [q-bio] 571Biochimie, Biologie Moléculaire Index. décimale : 571 Résumé : Obesity and type 2 diabetes are associated with elevated intramyocellular lipids (IMCLs) and insulin resistance. OBJECTIVE: We tested the hypothesis that skeletal muscle lipases activity could influence IMCL content (including diacylglycerol and ceramides). DESIGN AND PATIENTS: The present study included 48 subjects with a wide range of age (19-68 yr) and body mass index (20-45 kg/m(2)) who underwent skeletal muscle biopsy, dual-energy x-ray absorptiometry and a hyperinsulinemic euglycemic clamp. MAIN OUTCOME MEASURES: Insulin sensitivity by hyperinsulinemic clamp, and intramyocellular triacylglycerol (IMTG), diacylglycerol (DAG), and ceramides content, and triacylglycerol and diacylglycerol hydrolase activities were measured in biopsies of vastus lateralis. IMCL was measured by (1)H-magnetic resonance spectroscopy in a subgroup of 25 subjects. Multivariate regression analyses were performed to identify the main predictors of IMCL. RESULTS: Body fat was the main predictor of IMTG independently of the method and the type of muscle; IMTG concentration was higher in females vs. males and obese vs. nonobese subjects. Muscle DAG and ceramides concentrations were elevated in obese and type 2 diabetic subjects and were not related to body fat and fasting free fatty acids, whereas a direct association with the ratio of diacylglycerol hydrolase to triacylglycerol hydrolase activity (an index of incomplete triacylglycerol hydrolysis) was observed, which explained 54 and 38% of the variance in DAG and ceramides (P < 0.001), respectively. DAG content was the main determinant of insulin resistance. CONCLUSIONS: These data suggest that intramyocellular DAG is an independent predictor of insulin resistance in humans and that its levels correlate with lipolytic enzymes activity in skeletal muscle but not with markers of adiposity. En ligne : https://hal.science/inserm-00410118v1 Format de la ressource électronique : HTML Influence of gender, obesity, and muscle lipase activity on intramyocellular lipids in sedentary individuals [document électronique] / Cédric Moro, Auteur ; Jose E. Galgani, Auteur ; Lanchi Luu, Auteur ; Magdalena Pasarica, Auteur ; Aline Mairal, Auteur ; Sudip Bajpeyi, Auteur ; Gerd Schmitz, Auteur ; Dominique Langin, Auteur ; Gerhard Liebisch, Auteur ; Steven R. Smith, Auteur . - 2009.
Langues : Anglais (eng)
Catégories : 571 Physiologie générale et sujets connexes Physiology and related subjectsTags : Adult Aged Muscle,Skeletal Obesity Sex Factors Triglycerides Ceramides Diglycerides Female Humans Insulin Resistance Lipase Male Middle Aged Sciences du Vivant [q-bio] 571Biochimie, Biologie Moléculaire Index. décimale : 571 Résumé : Obesity and type 2 diabetes are associated with elevated intramyocellular lipids (IMCLs) and insulin resistance. OBJECTIVE: We tested the hypothesis that skeletal muscle lipases activity could influence IMCL content (including diacylglycerol and ceramides). DESIGN AND PATIENTS: The present study included 48 subjects with a wide range of age (19-68 yr) and body mass index (20-45 kg/m(2)) who underwent skeletal muscle biopsy, dual-energy x-ray absorptiometry and a hyperinsulinemic euglycemic clamp. MAIN OUTCOME MEASURES: Insulin sensitivity by hyperinsulinemic clamp, and intramyocellular triacylglycerol (IMTG), diacylglycerol (DAG), and ceramides content, and triacylglycerol and diacylglycerol hydrolase activities were measured in biopsies of vastus lateralis. IMCL was measured by (1)H-magnetic resonance spectroscopy in a subgroup of 25 subjects. Multivariate regression analyses were performed to identify the main predictors of IMCL. RESULTS: Body fat was the main predictor of IMTG independently of the method and the type of muscle; IMTG concentration was higher in females vs. males and obese vs. nonobese subjects. Muscle DAG and ceramides concentrations were elevated in obese and type 2 diabetic subjects and were not related to body fat and fasting free fatty acids, whereas a direct association with the ratio of diacylglycerol hydrolase to triacylglycerol hydrolase activity (an index of incomplete triacylglycerol hydrolysis) was observed, which explained 54 and 38% of the variance in DAG and ceramides (P < 0.001), respectively. DAG content was the main determinant of insulin resistance. CONCLUSIONS: These data suggest that intramyocellular DAG is an independent predictor of insulin resistance in humans and that its levels correlate with lipolytic enzymes activity in skeletal muscle but not with markers of adiposity. En ligne : https://hal.science/inserm-00410118v1 Format de la ressource électronique : HTML PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics / Luis F. Gomez
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Titre : PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics Type de document : document électronique Auteurs : Luis F. Gomez, Auteur ; Julian Fierrez, Auteur ; Mahdi Mahdi Ghafourian, Auteur ; Aythami Morales, Auteur Editeur : [S.l.] : IEEE (Institute of Electrical and Elctronic Engineers) Année de publication : 2023 Note générale : Index Terms—Remote photoplethysmography, Presentation at-
tacks detection, Convolutional Attention NetworkLangues : Anglais (eng) Catégories : 571 Physiologie générale et sujets connexes Physiology and related subjectsIndex. décimale : 571 Résumé : Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities. Recently, pulse detection based on remote photoplethysmography (rPPG) has been shown to be effective in face presentation attack detection.
This work presents three different approaches to the presentation attack detection based on rPPG: (i) The physiological domain, a domain using rPPG-based models, (ii) the Deepfakes domain, a domain where models were retrained from the physiological domain to specific Deepfakes detection tasks; and (iii) a new Presentation Attack domain was trained by applying transfer learning from the two previous domains to improve the capability to differentiate between bona-fides and attacks.
The results show the efficiency of the rPPG-based models for presentation attack detection, evidencing a 21.70% decrease in average classification error rate (ACER) (from 41.03% to 19.32%) when the presentation attack domain is compared to the physiological and Deepfakes domains. Our experiments highlight the efficiency of transfer learning in rPPG-based models and perform well in presentation attack detection in instruments that do not allow copying of this physiological feature.En ligne : https://arxiv.org/abs/2310.02140 Format de la ressource électronique : PAD-Phys: Exploiting Physiology for Presentation Attack Detection in Face Biometrics [document électronique] / Luis F. Gomez, Auteur ; Julian Fierrez, Auteur ; Mahdi Mahdi Ghafourian, Auteur ; Aythami Morales, Auteur . - [S.l.] : IEEE (Institute of Electrical and Elctronic Engineers), 2023.
Index Terms—Remote photoplethysmography, Presentation at-
tacks detection, Convolutional Attention Network
Langues : Anglais (eng)
Catégories : 571 Physiologie générale et sujets connexes Physiology and related subjectsIndex. décimale : 571 Résumé : Presentation Attack Detection (PAD) is a crucial stage in facial recognition systems to avoid leakage of personal information or spoofing of identity to entities. Recently, pulse detection based on remote photoplethysmography (rPPG) has been shown to be effective in face presentation attack detection.
This work presents three different approaches to the presentation attack detection based on rPPG: (i) The physiological domain, a domain using rPPG-based models, (ii) the Deepfakes domain, a domain where models were retrained from the physiological domain to specific Deepfakes detection tasks; and (iii) a new Presentation Attack domain was trained by applying transfer learning from the two previous domains to improve the capability to differentiate between bona-fides and attacks.
The results show the efficiency of the rPPG-based models for presentation attack detection, evidencing a 21.70% decrease in average classification error rate (ACER) (from 41.03% to 19.32%) when the presentation attack domain is compared to the physiological and Deepfakes domains. Our experiments highlight the efficiency of transfer learning in rPPG-based models and perform well in presentation attack detection in instruments that do not allow copying of this physiological feature.En ligne : https://arxiv.org/abs/2310.02140 Format de la ressource électronique :