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Crop production currently relies on the widespread use of agrochemicals to ensure food security. This practice is considered unsustainable, yet has no viable alternative at present. The plant microbiota can fulfil various functions for its host, some of which could be the basis for developing sustainable protection and fertilization strategies for plants without relying on chemicals. To harness such functions, a detailed understanding of plant‒microbe and microbe‒microbe interactions is necessary. Among interactions within the plant microbiota, those between bacteria are the most common ones; they are not only of ecological importance but also essential for maintaining the health and productivity of the host plants. This review focuses on recent literature in this field and highlights various consequences of bacteria‒bacteria interactions under different agricultural settings. In addition, the molecular and genetic backgrounds of bacteria that facilitate such interactions are emphasized. Representative examples of commonly found bacterial metabolites with bioactive properties, as well as their modes of action, are given. Integrating our understanding of various binary interactions into complex models that encompass the entire microbiota will benefit future developments in agriculture and beyond, which could be further facilitated by artificial intelligence-based technologies.

Currently, monitoring system of awareness of the depth of anesthesia has been more and more widely used in clinical practices. The intelligent evaluation algorithm is the key technology of this type of equipment. On the basis of studies about changes of electroencephalography (EEG) features during anesthesia, a discussion about how to select reasonable EEG parameters and classification algorithm to monitor the depth of anesthesia has taken place. A scheme which combines time domain analysis, frequency domain analysis and the variability of EEG and decision tree as classifier and least squares to compute Depth of anesthesia Index (DOAI) is proposed in this paper. Using the EEG of 40 patients who underwent general anesthesia with propofol, and the classification and the score of the EEG annotated by anesthesiologist, we verified this scheme with experiments. Classification and scoring was based on a combination of modified observer assessment of alertness/sedation (MOAA/S), and the changes of EEG parameters of patients during anesthesia. Then we used the BIS index to testify the validation of the DOAI. Results showed that Pearson's correlation coefficient between the DOAI and the BIS over the test set was 0.89. It is demonstrated that the method is feasible and has good accuracy.

Objective: Discuss the clinical features of primary ectopic thyroid carcinoma., Method: The clinical data of three cases diagnosed of primary ectopic thyroid carcinoma in our department since 1990 were analyzed ret respectively and related literature was reviewed., Result: All three patients were young females that had cervical lumps before surgery. The pathology results confirmed the diagnosis of ectopic thyroid papillary carcinoma. All cases had followed up till now and no relapse signs occurred., Conclusion: Ectopic thyroid tissue is resulting from developmental defects at early stages of thyroid gland embryogenesis. They can cancerization, the treatment of ectopic thyroid carcinoma is also controversial. Here,we report 3 cases of primary ectopic thyroid papillary carcinoma, all of which were removed by surgery, take thyroxin orally after surgery and have a great prognosis.

Objective: To relatively detect the Runx2 mRNA expression in papillary thyroid carcinoma (PTC) and thyroid adenoma, then to investigate the role of Runx2 in the development and progression in PTC and the relationship with the micro calcification in PTC., Method: The expression of Runx2 mRNA in 14 samples of PTC and 14 samples of thyroid adenoma was examined by relatively real-time RT-PCR., Result: The deltaCT value of the carcinoma group and adenoma group was 2.395 +/- 0.302 and 5.028 +/- 1.179 respectively (P<0.01). The 2(-deltadeltaCT) value of the carcinoma group and adenoma group was 7.826 +/- 5.004 and 1 respectively (P<0.01). The carcinoma group was divided into two groups by calcification and there was no statistical difference (P>0.05), and the adenoma group as well. The carcinoma group was divided into two groups by the size of carcinoma (<1 cm and > or = 1 cm). The deltaCT value was 2.629 +/- 0.300 and 2.212 +/- 0.124 respectively (P<0.05) and the 2(-deltadeltaCT) value was 167.33 +/- 33. 823 and 221.69 +/- 18.843 respectively (P<0.01). The TSH level in carcinoma group and adenoma group had no statistical significance (P>0.05)., Conclusion: The expression of Runx2 mRNA was high in PTC, and was related to the size of carcinoma which was higher in bigger size carcinoma. The role of Runx2 may contribute to the formation of the micro-calcification and the development and progression in PTC and other malignant tumors, such as breast cancer, prostatic carcinoma and osteosarcoma.