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Additional file 1: Table S1-3. Showed primary antibodies used in immunohistochemistry and immunofluorescence in the experiment; surgery finding, inflammatory features and NMDAR subunits expression in teratomas from patients without anti-NMDARE.

To improve the accuracy and acceptance of driver fatigue recognition in practical applications and vehicle safety, by comparing the driver's face expression features, car driving characteristics and other multi-source fatigue information collection and driver acceptance, a fatigue driving state recognition scheme based on multi-source information fusion is proposed. The scheme includes two cameras and a steering angle sensor. The front-up camera collects eye position, frequency of blinks, frequency of glancing, staring time, and other indicators; The side camera collects the information of driver's head position; the steering angle sensor collects the steering wheel angle data. The fatigue driving state of the driver is classified and defined by a multi-source information detection method such as pupil characteristics, head tilt angle and steering wheel angle data. Through a comparison of Test Schemes for fatigue driving, it is concluded that the simulation driving experiment scheme has the best comprehensive index in terms of safety, economics, driving state fit and so on. Based on the work above, an experimental platform for fatigue driving recognition was established.

Rationale: Tuberous sclerosis complex (TSC) is an uncommon multiple systems disorder. The main characteristics of the disease in the central nervous system include cortical or subcortical tubers, subependymal nodules, and subependymal giant cell astrocytoma. However, progressive cystic lesions in the cerebral hemispheres have rarely been reported in previous studies of TSC. Patient concerns: We present the case of a 35-year-old man with TSC who was admitted to our hospital for a sudden attack of serious headache, vomiting, and left hemiplegia. Brain computerized tomography and magnetic resonance imaging (MRI) revealed multiple subependymal calcific nodes and multiple cystic lesions in the right frontal, temporal, and parietal lobes. The solid nodule in the lesion demonstrated contrast enhancement. Diagnoses: The patient was diagnosed with TSC, but the properties of the cystic lesion in the brain were unclear and a tumor was suspected. Interventions: Emergency operation was performed immediately. Pathological examination of the lesion revealed a vascular malformation, but no tumor cells. Outcomes: In the fourth year after the surgery, brain MRI revealed a relapse of the cystic mass and surgery was suggested again. However, the patient refused to undergo surgery again. Lessons: This case describes an atypical MRI presentation of TSC occurring in middle-age. This condition can cause a life-threatening condition and may recur after surgery. Our finding emphasizes the importance of neuroimaging surveillance in patients older than 25 years old and after lesion resection.

Lack of visibility in a supply chain will cause the uncertainty of demand. Usually, the suppliers at upstream always carry much higher inventory level than the actual demand. However, the strategy of CPFR provides a way to reduce the huge loss led by bullwhip effect by scientifically forecasting the customer's demand and reasonably replenishing the inventory. This paper discusses the way to realize CPFR by demand forecast with time series analysis and push/pull integrated inventory management system, and brings out a demand forecast and pre-alarm integrated quick response warehousing system design in the end.