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Mutual information as a measure of mixing efficiency in viscous fluids

Yihong Shi1, Ramin Golestanian1,2,3,*, and Andrej Vilfan1,4,†

  • *ramin.golestanian@ds.mpg.de
  • †andrej.vilfan@ds.mpg.de

Methodological limitations of linear parametric analysis in biological research: A critical review of NEO-Five personality traits and sleep characteristics study

Yoshiyasu Takefuji

Sleep Medicine Reviews 81 102094 (2025)

Information-Optimal Mixing at Low Reynolds Number

Luca Cocconi, Yihong Shi, and Andrej Vilfan

Phys. Rev. Lett. 135 037101 (2025)

Computational modeling of fluid motion and mass transfer in a rocking bioreactor with application to cultivated meat production

Minki Kim, Daniel M. Harris, and Radu Cimpeanu

International Journal of Multiphase Flow 193 105375 (2025)

Pitfalls of XAI interpretation in environmental modeling: A warning on model bias in air quality data analysis

Souichi Oka, Takuma Yamazaki, and Yoshiyasu Takefuji

Environmental Modelling & Software 194 106700 (2025)

Letter to the Editor: Complementary statistical approaches for interpreting machine learning feature importance in osteoporosis risk

Souichi Oka, Takuma Yamazaki, and Yoshiyasu Takefuji

Computers in Biology and Medicine 196 110710 (2025)

Beyond predictive accuracy: Statistical validation of feature importance in biomedical machine learning

Souichi Oka, Nobuko Inoue, and Yoshiyasu Takefuji

Computer Methods and Programs in Biomedicine 272 109085 (2025)

Re-evaluating structural equation modelling in nursing research: Insights from compassion fatigue and empowerment in Chinese intensive care units

Mana Egawa, Souichi Oka, and Yoshiyasu Takefuji

Australian Critical Care 38 101292 (2025)

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