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Chapter and Conference Paper
Interictal EEG Based Prediction of ACTH Efficacy in Infantile Epileptic Spasms
Infantile epileptic spasms (IESS) are a common and refractory childhood epilepsy syndrome. Adrenocorticotropic hormone (ACTH) is one of the most effective drugs for the treatment of IESS disorder, but not effe...
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Article
Open AccessMultiphoton excited singlet/triplet mixed self-trapped exciton emission
Multiphoton excited luminescence is of paramount importance in the field of optical detection and biological photonics. Self-trapped exciton (STE) emission with self-absorption-free advantages provide a choice...
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Article
Open AccessBioinformatic analysis and preliminary validation of potential therapeutic targets for COVID-19 infection in asthma patients
Severe acute respiratory syndrome coronavirus 2 causes coronavirus disease 19 (COVID-19). The number of confirmed cases of COVID-19 is also rapidly increasing worldwide, posing a significant challenge to human...
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Article
Open AccessUse of machine learning models to predict prognosis of combined pulmonary fibrosis and emphysema in a Chinese population
Combined pulmonary fibrosis and emphysema (CPFE) is a novel clinical entity with a poor prognosis. This study aimed to develop a clinical nomogram model to predict the 1-, 2- and 3-year mortality of patients w...
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Article
Open AccessPrediction of long-term mortality by using machine learning models in Chinese patients with connective tissue disease-associated interstitial lung disease
The exact risk assessment is crucial for the management of connective tissue disease-associated interstitial lung disease (CTD-ILD) patients. In the present study, we develop a nomogram to predict 3‑ and 5-yea...
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Article
Electrolyte-mediated dense integration of graphene-MXene films for high volumetric capacitance flexible supercapacitors
High conductivity two-dimensional (2D) materials have been proved to be potential electrode materials for flexible supercapacitors because of its outstanding chemical and physical properties. However, electrod...
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Chapter and Conference Paper
Retinal Vessel Segmentation Network Based on Patch-GAN
In order to segment the blood vessels from the retina more accurately, a new retinal vessel segmentation network called Patch-GAN is proposed in this paper. The proposed Patch-GAN retinal vessel segmentation n...
