Split hand/foot malformation (SHFM), formerly known as ectrodactyly is a rare congénital anomaly, its incidence varies from 1/8.500 to 1/25.000 live birth. It mainly affects the development of the limbs, its clin...Split hand/foot malformation (SHFM), formerly known as ectrodactyly is a rare congénital anomaly, its incidence varies from 1/8.500 to 1/25.000 live birth. It mainly affects the development of the limbs, its clinical variability is standard, can present as an isolated feature or as a syndrome associated with other congenital anomalies. Our objective was to present the two cases of SHFM, and to review the literature on the clinical aspects and discuss a probable origin. The father went to school and is a driver because the malformations concerned only the fingers, were less severe, and did not prevent the realization of certain simple gestures of the daily life. On the other hand, the malformations of the fingers of the newborn were severe and the absence of the thumbs compromised the later prehension function. Also the association of a microglossia and a cleft palate contributed to a weight loss that justified hospitalization. The clinical presentation of split hands and feet is variable and the prognosis depends on the type of anomaly. Familial cases suggest a probable genetic origin. Genetic testing is necessary to establish genetic counseling.展开更多
In this paper,a combined robust fault detection and isolation scheme is studied for satellite system subject to actuator faults,external disturbances,and parametric uncertainties.The proposed methodology incorporates ...In this paper,a combined robust fault detection and isolation scheme is studied for satellite system subject to actuator faults,external disturbances,and parametric uncertainties.The proposed methodology incorporates a residual generation module,including a bank of filters,into an intelligent residual evaluation module.First,residual filters are designed based on an improved nonlinear differential algebraic approach so that they are not affected by external disturbances.The residual evaluation module is developed based on the suggested series and parallel forms.Further,a new ensemble classification scheme defined as blended learning integrates heterogeneous classifiers to enhance the performance.A wide range of simulations is carried out in a high-fidelity satellite simulator subject to the constant and time-varying actuator faults in the presence of disturbances,manoeuvres,uncertainties,and noises.The obtained results demonstrate the effectiveness of the proposed robust fault detection and isolation method compared to the traditional nonlinear differential algebraic approach.展开更多
文摘Split hand/foot malformation (SHFM), formerly known as ectrodactyly is a rare congénital anomaly, its incidence varies from 1/8.500 to 1/25.000 live birth. It mainly affects the development of the limbs, its clinical variability is standard, can present as an isolated feature or as a syndrome associated with other congenital anomalies. Our objective was to present the two cases of SHFM, and to review the literature on the clinical aspects and discuss a probable origin. The father went to school and is a driver because the malformations concerned only the fingers, were less severe, and did not prevent the realization of certain simple gestures of the daily life. On the other hand, the malformations of the fingers of the newborn were severe and the absence of the thumbs compromised the later prehension function. Also the association of a microglossia and a cleft palate contributed to a weight loss that justified hospitalization. The clinical presentation of split hands and feet is variable and the prognosis depends on the type of anomaly. Familial cases suggest a probable genetic origin. Genetic testing is necessary to establish genetic counseling.
文摘In this paper,a combined robust fault detection and isolation scheme is studied for satellite system subject to actuator faults,external disturbances,and parametric uncertainties.The proposed methodology incorporates a residual generation module,including a bank of filters,into an intelligent residual evaluation module.First,residual filters are designed based on an improved nonlinear differential algebraic approach so that they are not affected by external disturbances.The residual evaluation module is developed based on the suggested series and parallel forms.Further,a new ensemble classification scheme defined as blended learning integrates heterogeneous classifiers to enhance the performance.A wide range of simulations is carried out in a high-fidelity satellite simulator subject to the constant and time-varying actuator faults in the presence of disturbances,manoeuvres,uncertainties,and noises.The obtained results demonstrate the effectiveness of the proposed robust fault detection and isolation method compared to the traditional nonlinear differential algebraic approach.
