[Identification and restoration strategy of key areas for territorial space ecological restoration in Shanghai, China based on ecological security pattern].

In the new era, ecological restoration of territorial space is the important task of maintaining regional ecological security, improving regional ecological quality and providing high-quality ecological products. From the perspective of ecological security, accurately determination of key areas to be restored in the territorial space is the primary work, and it is also a key and difficult problem to scientifically carry out ecological restoration. Based on the mainstream ecological security pattern theory, taking Shanghai as the research area, we integrated morphological spatial pattern analysis method and InVEST model to identify ecological sources, extracted ecological corridors, ecological "pinch points" and obstacle points with circuit theory, comprehensively determined the key areas to be restored, and proposed targeted restoration strategies.

Deep Learning for Accurate Diagnosis of Liver Tumor Based on Magnetic Resonance Imaging and Clinical Data.

Early-stage diagnosis and treatment can improve survival rates of liver cancer patients. Dynamic contrast-enhanced MRI provides the most comprehensive information for differential diagnosis of liver tumors. However, MRI diagnosis is affected by subjective experience, so deep learning may supply a new diagnostic strategy.

Nanoparticle based bio-bar code technology for trace analysis of aflatoxin B1 in Chinese herbs.

A novel and sensitive assay for aflatoxin B1 (AFB1) detection has been developed by using bio-bar code assay (BCA). The method that relies on polyclonal antibodies encoded with DNA modified gold nanoparticle (NP) and monoclonal antibodies modified magnetic microparticle (MMP), and subsequent detection of amplified target in the form of bio-bar code using a fluorescent quantitative polymerase chain reaction (FQ-PCR) detection method. First, NP probes encoded with DNA that was unique to AFB1, MMP probes with monoclonal antibodies that bind AFB1 specifically were prepared.