A5064966758- Advanced optical system design
- Advanced Breast Cancer Therapies
- Chronic Lymphocytic Leukemia Research
- Mathematics and Applications
- Advanced Vision and Imaging
- Mathematical functions and polynomials
- Functional Equations Stability Results
- Petroleum Processing and Analysis
- Fluid Dynamics and Mixing
- Fault Detection and Control Systems
- Advanced Numerical Analysis Techniques
- Lung Cancer Research Studies
National Human Genome Research Institute
2025
Wuhan University of Science and Technology
2025
China University of Petroleum, Beijing
2017
State Key Laboratory of Modern Optical Instruments
2013-2014
Zhejiang University
2013-2014
We propose an approach to deal with the problem of freeform surface illumination design without assuming any symmetry based on concept that this is similar optimal mass transport. With approach, converted into a nonlinear boundary for elliptic Monge-Ampére equation. The theory and numerical method are given solving problem. Experimental results show feasibility in tackling
Abstract Cyclin-dependent kinases 4 and 6 (CDK4/6) are crucial in regulating cell cycle progression cancer development. Targeting CDK4/6 has shown considerable promise treating various cancers, including breast cancer. Despite significant therapeutic efficacy, resistance to inhibitors (CDK4/6i), such as palbociclib, remains a substantial hurdle clinical practice. Using co-culture system, cytokine array, quantitative high-throughput combinatorial screening (qHTCS), we discovered mechanism by...
The Monge-Ampère (MA) equation arising in illumination design is highly nonlinear so that the convergence of MA method strongly determined by initial design. We address this paper with L(2)-Kantorovich (LMK) theory. An efficient approach proposed to find optimal mapping LMK problem. characteristics new are introduced and limitations theory presented. Three examples, including beam shaping collimated point light source, given illustrate potential benefits results show converges more stably...
The pour point of the crude oil treated with depressant (PPD) is easily affected by shear history effect. Models for PPD-treatment effect based on Bayesian regularized artificial neural network (BRANN) were established. results showed that BRANN models not only had a good ability fitting to training data, but also predicting testing data. By evaluating performance several statistical indicators, three have excellent performance, high accuracy, and strong generalization ability. influence...