Buscar

Mostrando ítems 1-10 de 330

NMDA receptor signaling is important for neural tube formation and for preventing antiepileptic drug-induced neural tube defects

Sequerra, Eduardo Bouth; Goyal, Raman; Castro, Patricio A.; Levin, Jacqueline B.; Borodinsky, Laura N. (2018)

Histone methylations in the developing central nervous system and in neural tube defects

Villarreal, Alejandro; Franz, Henriette; Vogel, Tanja (De Gruyter, 2018-05)

Understanding central nervous system genesis is of crucial relevance to decode different human diseases such as microcephaly or neural tube defects, which arise from incorrect developmental processes. Epigenetic mechanisms ...

Investigations into the use of the finite element method and artificial neural networks in the non-destructive analysis of metallic tubes

Universidade Estadual Paulista (Unesp) (2002-01-01)

This work presents an investigation into the use of the finite element method and artificial neural networks in the identification of defects in industrial plants metallic tubes, due to the aggressive actions of the fluids ...

Investigations into the use of the finite element method and artificial neural networks in the non-destructive analysis of metallic tubes

Universidade Estadual Paulista (Unesp) (2002-01-01)

Prevalence and association of upper and lower neural tube defects with illnesses and drugs [Defectos del tubo neural altos y bajos, prevalencia, y asociación con enfermedades y medicamentos]

Molina, J.J.; Ponce, C.O.; Alfaro, N. (2002)

Objective. To determine the prevalence of upper and lower neural tube defects and identify its association with the exposure to illnesses and drugs during pregnancy. Material and methods. This is a case-control study of ...

1
2
3
4
. . .
33

Buscar

NMDA receptor signaling is important for neural tube formation and for preventing antiepileptic drug-induced neural tube defects

Histone methylations in the developing central nervous system and in neural tube defects

Investigations into the use of the finite element method and artificial neural networks in the non-destructive analysis of metallic tubes

Investigations into the use of the finite element method and artificial neural networks in the non-destructive analysis of metallic tubes

Prevalence and association of upper and lower neural tube defects with illnesses and drugs [Defectos del tubo neural altos y bajos, prevalencia, y asociación con enfermedades y medicamentos]

[Upper and lower neural tube defects: prevalence and association with illnesses and drugs]

[Upper and lower neural tube defects: prevalence and association with illnesses and drugs]

Syndecan 4 interacts genetically with Vangl2 to regulate neural tube closure and planar cell polarity.

Frecuencia de los defectos de cierre del tubo neural en las maternidades públicas de Santiago durante el año 1999

Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network

Buscar

Filtros

NMDA receptor signaling is important for neural tube formation and for preventing antiepileptic drug-induced neural tube defects

Histone methylations in the developing central nervous system and in neural tube defects

Investigations into the use of the finite element method and artificial neural networks in the non-destructive analysis of metallic tubes

Investigations into the use of the finite element method and artificial neural networks in the non-destructive analysis of metallic tubes

Prevalence and association of upper and lower neural tube defects with illnesses and drugs [Defectos del tubo neural altos y bajos, prevalencia, y asociación con enfermedades y medicamentos]

[Upper and lower neural tube defects: prevalence and association with illnesses and drugs]

[Upper and lower neural tube defects: prevalence and association with illnesses and drugs]

Syndecan 4 interacts genetically with Vangl2 to regulate neural tube closure and planar cell polarity.

Frecuencia de los defectos de cierre del tubo neural en las maternidades públicas de Santiago durante el año 1999

Classification of steam generator tube defects using Linear Predictive Coding and a self-organizing neural network