Insights into artificial intelligence in clinical oncology:opportunities and challenges

Cancer continues to be a major public health issue worldwide.Given the complexity of the etiology and pathophysiology of cancer,challenges always exist at every step of cancer management,including early screening,diagnosis,treatment selection,and surveillance.Emerging novel technologies hold promise in addressing a wide range of healthcare problems.Artificial intelligence(AI),which is capable of learning of features from given datasets.

Rayleigh-Taylor instability under multimode perturbation:Discrete Boltzmann modeling with tracers

The two-dimensional Rayleigh-Taylor Instability(RTI)under multi-mode perturbation in compressible flow is probed via the Discrete Boltzmann Modeling(DBM)with tracers.The distribution of tracers provides clear boundaries between light and heavy fluids in the position space.Besides,the position-velocity phase space offers a new perspective for understanding the flow behavior of RTI with intuitive geometrical correspondence.The effects of viscosity,acceleration,compressibility,and Atwood number on the mixing of material and momentum and the mean nonequilibrium strength at the interfaces are investigated separately based on both the mixedness defined by the tracers and the non-equilibrium strength defined by the DBM.The mixedness increases with viscosity during early stage but decreases with viscosity at the later stage.Acceleration,compressibility,and Atwood number show enhancement effects on mixing based on different mechanisms.After the system relaxes from the initial state,the mean non-equilibrium strength at the interfaces presents an initially increasing and then declining trend,which is jointly determined by the interface length and the macroscopic physical quantity gradient.We conclude that the four factors investigated all significantly affect early evolution behavior of an RTI system,such as the competition between interface length and macroscopic physical quantity gradient.The results contribute to the understanding of the multi-mode RTI evolutionary mechanism and the accompanied kinetic effects.

Academic Integration of Chinese Students in Finland and Germany: A Comparative Perspective

It has been recognized that international students studying in non-Anglophone countries face more challenges in integrating into local higher education institutions for a number of reasons,such as the local language barrier and cultural differences.This study aims to understand the challenges and coping strategies of academic integration in non-Anglophone countries from the students’perceptive,taking Chinese students as an example and using a qualitative approach based on semi-structured interviews with 58 Chinese students in Germany and Finland.It shows that,despite learning environment differences between Finland and Germany,Chinese students face similar challenges,including individual ones,such as the mismatch between their academic background and learning requirements,or contextual ones,such as a lack of consideration for international students in the pedagogical approach and curriculum design adopted by the host higher education institutions.The results challenge the existing stereotype of Chinese students and present evidence of students’resourcefulness in generating novel approaches to develop their learning capabilities.It also shows that traditional learning techniques may be used as pathways to achieving deep learning and understanding.