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Background: Delayed cerebral ischemia (DCI) is a primary contributor to death after subarachnoid hemorrhage (SAH), with significant incidence. Therefore, early determination of the risk of DCI is an urgent need. Machine learning (ML) has received much attention in clinical practice.

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Background: Alzheimer's disease (AD) is a serious neurodegenerative disorder without a clear understanding of pathophysiology. Recent experimental data have suggested neuronal excitation-inhibition (E-I) imbalance as an essential element of AD pathology, but E-I imbalance has not been systematically mapped out for either local or large-scale neuronal circuits in AD, precluding precise targeting of E-I imbalance in AD treatment.

Method: In this work, we apply a Multiscale Neural Model Inversion (MNMI) framework to the resting-state functional MRI data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) to identify brain regions with disrupted E-I balance in a large network during AD progression.

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Research on educational simulations has attempted to decipher the simulation-based learning (SBL) process by examining factors that facilitate and impede this process. In the current study, we examined the role of SBL participants' hindrances, in particular their experience of anxiety or fear, which we view using the framework of leaving one's comfort zone. Departure from one's comfort zone has never been studied in the context of SBL in teacher education.

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Cerebrovascular disease is the leading causes of death and disability worldwide. Intracranial atherosclerotic stenosis (ICAS) is one of the major causes of ischemic stroke, especially in the Asian population. It is urgent to explore effective screening methods for early diagnosis to improve prognosis of patients with ICAS.

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Fibrolamellar hepatocellular carcinoma (FHCC) is a rare variant of hepatocellular carcinoma (HCC), characterised by a poorer prognosis in later stages compared with conventional HCC due to a high rate of local recurrence, lymph node metastasis and peritoneal metastasis. Conventional chemotherapy is generally ineffective, making surgery the only potentially curative treatment. Currently, surgery is also indicated in cases of recurrence, always aiming for an R0 resection.

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