Publications by authors named "Boning Huang"
Article Synopsis
- Bound states in the continuum (BICs) are localized modes within radiation continuum, first predicted for single particles but now general in many wave systems; their application in many-body quantum physics is still largely unexplored.
- Researchers predict a new type of multiparticle state in the Bose-Hubbard model, creating a quasi-BIC that behaves differently under various boundary conditions—appearing as a bound pair influenced by a third particle.
- The study reveals that modulating onsite interactions can realize Thouless pumping of these quasi-BICs, where the overall center of mass shifts while the bound pair moves oppositely in relation to a standing wave.
Ethnopharmacological Relevance: Xuefu Zhuyu Decoction (XZD), a renowned traditional Chinese medicine prescription, is widely employed for the management of conditions characterized by qi-stagnation and blood stasis. Although its anti-thrombotic effect on deep vein thrombosis (DVT) patients has been clinically observed, the underlying mechanism remains largely unexplored.
Aim Of The Study: Our aim was to investigate the mechanisms by which XZD exerted its effect on DVT.
Article Synopsis
- SARS-CoV-2, responsible for COVID-19, poses significant risks due to its ability to mutate, particularly with variants like Delta and Omicron, challenging existing vaccines and treatments.
- Researchers are focusing on the viral 3CLpro enzyme, essential for the virus's replication, as a potential therapeutic target for developing broad-spectrum antiviral drugs.
- A new deep learning model, GraphDPI-3CL, was developed to screen and identify high-affinity compounds targeting 3CLpro, demonstrating superior performance with significant findings for 10 promising molecules.
Scientific risk assessment is an important guarantee for the healthy development of an enterprise. With the continuous development and maturity of machine learning technology, it has played an important role in the field of data prediction and risk assessment. This paper conducts research on the application of machine learning technology in enterprise risk assessment.
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