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https://www.selleckchem.com/products/glutathione.html A full, personalized pulmonary rehabilitation program was initiated with the help of the physical therapists, the respiratory therapy, the doctors, the nurses and psychotherapist team based on the functional levels. The rehabilitation intervention was conducted on postoperative day 4, This included posture management, airway clearance techniques, respiratory training, muscle strength training, transfer training, daily therapeutic bronchoscopy and psychological support. The ECMO was removed successfully on the fifth day. the patient's physical function, muscle strength and the quality of life has been improved. The good prognosis after rehabilitation indicates that early rehabilitation intervention is effective and feasible and safety for patients after lung transplantation. Rolandic epilepsy (RE) is a common pediatric idiopathic partial epilepsy syndrome. Children with RE display varying degrees of cognitive impairment. In epilepsy, age-related neuroanatomic and cognitive changes differ greatly from those observed in the healthy brain, and may be defined as accelerated brain aging. Connectome-based predictive modeling (CPM) is a recently developed machine learning approach that uses whole-brain connectivity measured with neuroimaging data ("neural fingerprints") to predict brain-behavior relationships. The aim of the study will be to develop and validate a CPM for predicting brain age in patients with RE. A multicenter, cross-sectional study will be conducted in 5 Chinese hospitals. A total of 100 RE patients (including 50 patients receiving anti-epileptic drugs and 50 drug-naïve patients) and 100 healthy children will be recruited to undergo a neuropsychological test using the Wechsler Intelligence Scale. Magnetic resonance images will also be collected. CPM will be applied to predict the brain age of children with RE based on brain functional connectivity. The findings of the study will facilitate our understan

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