Zhu Xu

The widespread application of QR code technology is best represented by the health codes used in China’s pandemic prevention and control. This technology has enhanced the country’s ability to manage the pandemic by achieving higher efficiency and accuracy. Unfortunately, a certain segment of the older population has encountered difficulties in adapting and maintaining their daily activities. This indicates the limitations of QR code technology in achieving social isolation. This article argues that for a more comprehensive pandemic prevention and control policy system to be established, managing the implementation of this very technology should be done in a more humane fashion, i.e. under the guidance of three moral principles: benevolence, justice, and non-maleficence. By doing so, implementation of QR code technology is done in a way that is not only conducive to COVID-19 prevention and control but also mitigate marginalization of the older people. In the post-pandemic era, the socialization of digital technology will accelerate. Therefore, in the field of public health, we should direct attention not only to the fair distribution of resources but also to the issue of identity that arises due to digital divide.

Whether or not an intentional explanation of action necessarily involves law-like statements is related to another question, namely, is it a causal explanation? The Popper-Hempel Thesis , which answers both questions affirmatively, inevitably faces a dilemma between realistic and universalistic requirements. However, in terms of W.C. Salmon’s concept of causal explanation, intentional explanation can be a causal one even if it does not rely on any laws. Based on this, we are able to refute three characteristic arguments for the claim “reason is not a cause of action,” namely, the “proper logical” argument, the “logical relation” argument, and the “rule-following” argument. This rebuttal suggests that the causal relationship between reason and action can provide a justification for intentional explanations.

A novel data-driven model-free adaptive control approach is first proposed by combining the advantages of model-free adaptive control and data-driven optimal iterative learning control, and then its stability and convergence analysis is given to prove algorithm stability and asymptotical convergence of tracking error. Besides, the parameters of presented approach are adaptively adjusted with fuzzy logic to determine the occupied proportions of MFAC and DDOILC according to their different control performances in different control stages. Lastly, the proposed fuzzy DDMFAC approach is applied to the control of particle quality in drug development phase of spray fluidized-bed granulation process, and its control effect is compared with MFAC and DDOILC and their fuzzy forms, in which the parameters of MFAC and DDOILC are adaptively adjusted with fuzzy logic. The effectiveness of the presented FDDMFAC approach is verified by a series of simulations.

Introduction : towards philosophy of scientific practice -- The origin of the concept of practice -- Scientific practice: significance, types and scopes -- The nature of scientific practice -- The nature of knowledge : the local knowledge -- Knowledge and power -- The contextual normativity of scientific practice -- Philosophy of scientific practice and naturalism (I) -- Philosophy of scientific practices and naturalism (II) -- Philosophy of scientific practice and relativism -- Partner of philosophy of scientific practice : philosophy of scientific experimentation -- New empiricism : close relative of philosophy of scientific practice -- The starting point of scientific research: opportunity, question, or observation? -- New solution for the old problem : the relationship among observation, experiment and theory -- New studies on replicability of scientific experiment -- Local knowledge (I) : traditional chinese medicine (TCM) -- Local knowledge (II) : chinese theory of fengshui -- Local knowledge (III) : ethnobotany -- Conclusion : scientific practice in ongoing and unlimited process.