Background:This study aimed to explore the efficacy and safety of Ping Chuan Ke Li (PCKL) as an adjunctive therapy to oral montelukast compared with placebo plus montelukast for treating patients with chronic asthma (CAS).Methods:This randomized controlled trial involved 72 patients with CAS. They were randomly allocated to an intervention group or a control group, 36 subjects per group. Participants in the intervention group received PCKL and oral montelukast, while those in the control group received placebo and oral montelukast. The primary outcome was lung function, measured by forced expiratory volume in 1 second (FEV1). The secondary outcomes included quality of life, measured by St. George's Respiratory Questionnaire (SGRQ), and adverse events (AEs).Results:Compared to placebo plus montelukast, PCKL and montelukast revealed greater efficacy in lung function, measured by FEV1 (P <.05), and quality of life, measured by the SGRQ scale (P <.05). Additionally, no significant differences were found in AEs between the 2 groups.Conclusion:Traditional Chinese medicine PCKL as an adjunctive therapy to oral montelukast alleviated the symptoms of CAS. Future studies with larger sample sizes are still needed to verify the efficacy and safety of PCKL plus montelukast in patients with CAS.

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We applied a recently developed method, laser metrology, to characterize the influence of collector rotation on porosity gradients of electrospun polycaprolactone (PCL) widely investigated for use in tissue engineering. The prior- and post-sintering dimensions of PCL scaffolds were compared to derive quantitative, spatially-resolved porosity ‘maps’ from net shrinkage. Deposited on a rotating mandrel (200 RPM), the central region of deposition reaches the highest porosity, ~92%, surrounded by approximately symmetrical decreases to ~89% at the edges. At 1100 RPM, a uniform porosity of ~88–89% is observed. At 2000 RPM, the lowest porosity, ~87%, is found in the middle of the deposition, rebounding to ~89% at the edges. Using a statistical model of random fiber network, we demonstrated that these relatively small changes in porosity values produce disproportionately large variations in pore size. The model predicts an exponential dependence of pore size on porosity when the scaffold is highly porous (e.g., >80%) and, accordingly, the observed porosity variation is associated with dramatic changes in pore size and ability to accommodate cell infiltration. Within the thickest regions most likely to ‘bottleneck’ cell infiltration, pore size decreases from ~37 to 23 μm (38%) when rotational speeds increased from 200 to 2000 RPM. This trend is corroborated by electron microscopy. While faster rotational speeds ultimately overcome axial alignment induced by cylindrical electric fields associated with the collector geometry, it does so at the cost of eliminating larger pores favoring cell infiltration. This puts the bio-mechanical advantages associated with collector rotation-induced alignment at odds with biological goals. A more significant decrease in pore size from ~54 to ~19 μm (65%), well below the minimum associated with cellular infiltration, is observed from enhanced collector biases. Finally, similar predictions show that sacrificial fiber approaches are inefficient in achieving cell-permissive pore sizes.

Ultra-smooth and low-damage processing of single-crystalline 4H-SiC has become a research focus as a substrate for third-generation semiconductor wafers. However, the high hardness and strong chemical inertia significantly affect 4H-SiC chemical-mechanical polishing (CMP) efficiency and accuracy. In this study, polishing process optimization experiments of 4H-SiC are conducted based on the grey relational analysis method to achieve low surface roughness (Ra) and high material removal rate (MRR). First, MRR and Ra of Si surface (0001) are obtained by orthogonal experiments considering down force, rotation speed, slurry flow rate and abrasive particle size as four key factors. Then the grey relational coefficient and grey relational grade of MRR and Ra are calculated by data processing. The results show that significant factors of the single-objective process are rotation speed, down force, particle size, and flow rate, while the factors of the multi-objective process are down force, flow rate, rotation speed, and particle size in turn. Finally, the MRR of 208.12 nm/h and Ra of 0.391 nm are polished using multi-objective optimization process parameters. The polishing efficiency and accuracy were improved, confirming the applicability of grey relational analysis in CMP.