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Relationships between hair growth rate and morphological parameters of human straight hair : a same law above ethnical origins ? / C. Saint-Olive Baque in INTERNATIONAL JOURNAL OF COSMETIC SCIENCE, Vol. 34, N° 2 (04/2012)
[article]
Titre : Relationships between hair growth rate and morphological parameters of human straight hair : a same law above ethnical origins ? Type de document : texte imprimé Auteurs : C. Saint-Olive Baque, Auteur ; J. Zhou, Auteur ; W. Gu, Auteur ; C. Collaudin, Auteur ; S. Kravtchenko, Auteur ; J. Y. Kempf, Auteur ; Didier Saint-Léger, Auteur Année de publication : 2012 Article en page(s) : p. 111-116 Note générale : Bibliogr. Langues : Anglais (eng) Catégories : Cheveux -- Croissance
Cuticule
Follicule pileux
Groupe ethniqueIndex. décimale : 668.5 Parfums et cosmétiques Résumé : After measurement of individual growth rates, natural hair fibres from Asian and Caucasian subjects were analysed using scanning electron microscopy. In total, more than 1000 hairs were analysed. Measurements of diameter, medulla and interscale distance (average distance between two successive cuticle scales) show these parameters strongly correlated with hair growth rate. A thicker hair fibre corresponds to a faster growth rate, a shorter interscale distance and greater probability to have a medulla, and vice versa, a thin hair fibre shows slower growth rate, a larger interscale distance and a lower probability to have a medulla. Very interestingly, this finding appears to be unrelated to the ethnic origin of the subjects, suggesting a common characteristic of human hair, at least for the straight or semi-straight hair studied. From a practical viewpoint, this finding clearly suggests an alternative method for measuring hair growth rates, by measuring the interscale distance, which appears easier than using common laboratory equipments. Note de contenu : - MATERIALS AND METHODS : Human volunteers and hair sampling - Measurement of growth - Determination of the presence of medulla - Measurement of the diameter and interscale distance
- RESULTS AND DISCUSSION : Medullation of hairDOI : 10.1111/j.1468-2494.2011.00687.x En ligne : https://onlinelibrary.wiley.com/doi/10.1111/j.1468-2494.2011.00687.x Format de la ressource électronique : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=14380
in INTERNATIONAL JOURNAL OF COSMETIC SCIENCE > Vol. 34, N° 2 (04/2012) . - p. 111-116[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 13819 - Périodique Bibliothèque principale Documentaires Disponible Single and multi objective optimization for injection molding using numerical simulation with surrogate models and genetic algorithms / J. Zhou in INTERNATIONAL POLYMER PROCESSING, Vol. XXI, N° 5 (11/2006)
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Titre : Single and multi objective optimization for injection molding using numerical simulation with surrogate models and genetic algorithms Type de document : texte imprimé Auteurs : J. Zhou, Auteur ; A. Kramschuster, Auteur ; Lih-Sheng Turng, Auteur Année de publication : 2006 Article en page(s) : p. 509-520 Note générale : Bibliogr. Langues : Anglais (eng) Index. décimale : 668.9 Polymères Résumé : The objective of this study is to develop an integrated computer-aided engineering (CAE) optimization system that can quickly and intelligently determine the optimal process conditions for injection molding. This study employs support vector regression (SVR) to establish the surrogate model based on executions of three-dimensional (3D) simulation for a selected dataset using the latin hypercube sampling (LHS) technique. Once the surrogate model can satisfactorily capture the characteristics of simulations with much less computing resources, a hybrid optimization genetic algorithm (GA) or a multi-objective optimization GA is then used to evaluate the surrogate model to search the global optimal solutions for the single or multiple objectives, respectively. The performance and capabilities of other surrogate modeling approaches, such as polynomial regression (PR) and artificial neural network (ANN), are also investigated in terms of accuracy, robustness, efficiency, and requirements for training samples. Experimental validations and applications of this work for process optimization of a special box mold and a precision optical lens are presented. DOI : https://doi.org/10.3139/217.0039 En ligne : https://drive.google.com/file/d/1mBD1yMeW8gfEGVhA3oz3Uz7RlSZ5rvE-/view?usp=drive [...] Format de la ressource électronique : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=2806
in INTERNATIONAL POLYMER PROCESSING > Vol. XXI, N° 5 (11/2006) . - p. 509-520[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 005699 - Périodique Bibliothèque principale Documentaires Disponible