Prescription optimization is a crucial aspect in the study of traditional Chinese medicine （TCM） compounds. In recent years， the introduction of mathematical methods， data mining techniques， and artificial neural networks has provided new tools for elucidating the compatibility rules of TCM compounds. The study of TCM compounds involves numerous variables， including the proportions of different herbs， the specific extraction parts of each ingredient， and the interactions among multiple components. These factors together create a complex nonlinear dose-effect relationship. In this context， it is essential to identify methods that suit the characteristics of TCM compounds and can leverage their advantages for effective application in new drug development. This paper provided a comprehensive review of the cutting-edge optimization experimental design methods applied in recent studies of TCM compound compatibilities. The key technical issues， such as the optimization of source material selection， dosage optimization of compatible herbs， and multi-objective optimization indicators， were discussed. Furthermore， the evaluation methods for component effects were summarized during the optimization process， so as to provide scientific and practical foundations for innovative research in TCM and the development of new drugs based on TCM compounds.

Objective To carry out a joint simulation exercise of tabletop deduction for the staff performing overseas medical services on hospital ships,so as to improve the infection prevention and control.Methods Sixty mission members were selected by convenience sampling to carry out joint simulation drills for tabletop deduction.The effects of the drills were assessed by the survey on the satisfaction and participation of mission members,before-and-after control study,and mission execution.Results Overseas medical service tasks were successfully completed through the desktop-propelled joint simulation drills.The total score of response for infectious emergencies,prevention score,preparedness score,and rescue score after training were higher than those before training(P<0.05).There were high degrees of participation and satisfaction in the drills(≥4.5 points).Conclusion The tabletop deduction and simulation exercise achieve good results in the infection prevention and control of hospital ships.The scheme of tabletop deduction combined with simulation drills will be optimized to continuously improve the infection prevention and control of hospital ships.

Objective:To compare image quality and diagnostic parameters of whole-brain CT perfusion scans under different scanning conditions and assess the utility of deep learning image reconstruction algorithm (DLIR) in reducing tube current during low-dose scans.Methods:Method A total of 105 patients with suspected acute ischemic stroke (AIS) were prospectively enrolled in the First Affiliated Hospital of Zhengzhou University from March, 2022 to March, 203 and their baseline information was recorded. All patients underwent head non-contrast CT and CT perfusion (CTP) examinations. CTP scanning was performed at 80 kV in two groups with the tube current of 150 mA (regular dose) and 100 mA (low dose), respectively. The CTP images of 150 mA group were reconstructed using filtered back-projection algorithm as well as adaptive statistical iterative reconstruction-V (ASIR-V) at 40% and 80% strength levels, which were denoted as groups A-C. The CTP images of 100 mA group were reconstructed using ASIR-V80%, DLIR-M, and DLIR-H, which were denoted as groups D-F. Clinical baseline characteristics and radiation doses were compared between the two groups under different scanning conditions. Furthermore, we assessed the subjective and objective image quality, conventional perfusion parameters, and abnormal perfusion parameters of AIS patients across the six groups of reconstructed CTP images.Results:Under the scanning conditions of 150 mA and 100 mA, 47 and 48 patients were diagnosed with AIS, respectively. There were no significant differences in the baseline characteristics between the two groups. However, there was a significant difference in the mean effective radiation dose (5.71 mSv vs. 3.80 mSv, t = 2 768.30, P < 0.001). The standard deviation (SD) of noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) of gray matter (GM) and white matter (WM) were significantly different among the six groups of reconstructed images ( F = 40.58-212.13, P < 0.001). In GM, the SD values in groups C, D, and F were lower than those in other groups ( P < 0.05), and the SNR values in groups C and F were higher than those in other groups ( P < 0.05). In WM, the SD and SNR values in groups C and F were significantly different from those in other groups ( P < 0.05). Additionally, CNR values in groups C and F were higher than those in other groups ( P < 0.05). There was no significant difference in subjective scores among groups B, C, and F ( P > 0.05). Regarding perfusion parameters in the brain GM, groups D and E had lower cerebral blood volume (CBV) values compared to groups A to C ( P < 0.05), and group F had lower CBV values than group B ( P < 0.05). In the brain WM, group D had consistently lower mean transit time (MTT) values compared to the other groups ( P < 0.05). Notably, there were no significant differences in AIS lesion detection rates and relevant diagnostic parameters across the six image groups. Conclusions:Low-tube current CTP scan combined with the DLIR-H algorithm can enhance image quality without affecting perfusion parameters such as CBV and MTT, while reducing radiation dose by 30%. This algorithm can be routinely applied in brain CTP examinations.

BACKGROUND:With the development of genetic engineering and tumor molecular biology, gene therapy for tumors has become a new treatment modality.
OBJECTIVE:To explore the effect of the KDR gene silencing on the proliferation and invasion capacity of breast cancer MCF-7 cel s.
METHODS:Interfering RNA (siRNA) sequences for smal molecule KDR gene was designed and transferred into human breast cancer MCF-7 cel s. Then, RT-PCR and western blot assay were used to detect the KDR mRNA and protein expression. Flow cytometry, cel counting kit-8 test and Transwel test were employed to detect the cel cycle, proliferative capacity and invasion capacity of breast cancer MCF-7 cel s after the KDR gene silencing.
RESULTS AND CONCLUSION:After 48 hours of KDR silencing, the mRNA and protein expressions of KDR in MCF-7 cel s were decreased obviously;MCF-7 cel s arrested at G0/G1 stage and the number of cel s at S stage was reduced. Cel proliferation was inhibited significantly. The amount of cel s passing through the filtering membrane became less. After KDR gene silencing, the proliferation and invasion of breast cancer MCF-7 cancer stem cel s were inhibited remarkably, indicating that KDR gene silencing may be a new target for the effective treatment of breast cancer.

Recent studies reported that thymoquinone (TQ), a component derived from the medicinal spice Nigella sativa (also called black cumin), exhibited inhibitory effects on cell proliferation of many cancer cell lines. This study was performed to investigate the anti-metastatic effect of thymoquinone on the pancreatic cancer in vitro and in vivo. The results showed that thymoquinone suppressed the migration and invasion of Panc-1 cells in a does-dependent manner. To investigate the possible mechanisms involved in these events, Western blotting analysis was performed, and found that thymoquinone significantly down-regulates NF-kappaB and MMP-9 in Panc-1 cells. In addition, metastatic model simulating human pancreatic cancer was established by orthotropic implantation of histologically intact pancreatic tumor tissue into the pancreatic wall of nude mice. And administration of thymoquinone significantly reduced tumor metastasis compared to untreated control. Furthermore, the expression of NF-kappaB and MMP-9 in tumor tissues was also suppressed after treatment with thymoquinone. Taken together, the results indicate that thymoquinone exerts anti-metastatic activity on pancreatic cancer both in vitro and in vivo, which may be related to down-regulation of NF-kappaB and its regulated molecules such as MMP-9 protein. Consequently, these results provide important insights into thymoquinone as an antimetastatic agent for the treatment of human pancreatic cancer.