Objective: To identify biomolecular markers closely related to the occurrence of kidney renal clear cell carcinoma (KIRC) and verify their expression levels in clinical samples. Methods: Stage Ⅰ KIRC mRNA sequencing data were obtained from The Cancer Genome Atlas (TCGA).Principal component analysis (PCA) was used for dimensionality reduction to screen differentially expressed genes (DEGs)，which then underwent GO and KEGG analyses.Weighted gene co-expression network analysis (WGCNA) was used to screen genes significantly related to KIRC，and a protein-protein interaction (PPI) network was constructed to screen hub genes.The diagnostic value of hub genes was evaluated with receiver operating characteristic (ROC) curve，and their prognostic value was analyzed using survival curve plots.The correlation between the mRNA expressions of hub genes and the pathological stages of KIRC was analyzed.Clinical samples of 20 patients with stage Ⅰ KIRC treated in our hospital were included，and the expressions of the hub genes in cancerous and adjacent tissues were detected with reverse transcription real-time quantitative polymerase chain reaction (RT-qPCR)，Western blotting，and enzyme-linked immunosorbent assay (ELISA). Results: A total of 8223 DEGs were screened out，including 4092 up-regulated ones and 4131 down-regulated ones.GO analysis showed that DEGs were related to bioadhesion，plasma membrane composition，and transporter activity.KEGG analysis showed that DEGs were related to pathways such as cell adhesion molecules，cytokine-cytokine receptor interactions，and interactions between viral proteins and cytokines and cytokine receptors.WGCNA analysis obtained 171 genes that were significantly related to stage Ⅰ KIRC.The hub gene，lymphocyte cytosolic protein 2 (LCP2)，screened out by the PPI network，was significantly related to stage Ⅰ KIRC.The area under the ROC curve was 0.96.The expression level was negatively correlated with the overall survival rate of patients.The expression of LCP2 was related to the stage and lymph node metastasis.Clinical verification showed that the mRNA and protein relative expressions of LCP2 in KIRC tissues were significantly higher than those in adjacent tissues (P<0.000 1). Conclusion: LCP2 is significantly up-regulated in stage Ⅰ KIRC tissues and can be used as a potential biomarker for the early diagnosis and treatment of KIRC.

Bone defect has always been a major clinical challenge because of its great difficulty and long period of treatment. Drynariae Rhizoma is a commonly used medicine in osteology and traumatology of traditional Chinese medicine， and its active ingredients（mainly flavonoids） facilitate osteoblast differentiation of bone marrow mesenchymal stem cells， osteoclast proliferation， vascular-osteogenic coupling， and inhibit osteoclast activity to promote bone mineralization， and repair and reconstruction of bone defect. As a good substitute for bone regeneration drugs， the active constituents of Drynariae Rhizoma can be loaded on scaffold materials of tissue engineering， which greatly improves the bioavailability of the drug. Meanwhile， the sustained-release microspheres also solve some problems such as sudden drug release from the scaffolds， and the composite scaffolds with active ingredient of Drynariae Rhizoma prepared by them have good ossification activity and osteoinduction， with precise bone repair effects， which meet the diverse performance requirements of bone grafts and have a promising clinical application prospect.

The recording and analysis of activities of calcium signals in neurons is of critical importance in the field of neuroscience.Over the past three decades,various fluorescent calcium imaging techniques not only have been used in the imaging study of functional activities of neuronal communities,but also can be combined with specific markers to record the functional activities of specific types of neuronal communities.To analyze neural activities at the cellular level,a series of preprocessing such as motion correction,cell body recognition,calcium signal extraction and peak deconvolution is required for the collected video.However,current methods for manual preprocessing are time-consuming and laborious,so computer automatic analysis technology is urgently needed to quickly repair the jitter in the video,identify the position and outline of a single cell,extract its activity trajectory and infer the action potential peak.In this paper,the methods of calcium imaging data processing used in recent years are summarized,and the future developments are predicted.

Objective To build a neural network based on the Unet infrastructure for recognition and segmentation of two-dimensional calcium imaging fluorescence images.Methods The in vivo miniaturized two-photon microscope(mTPM)was used for brain calcium imaging in freely moving mice.The imaging data was motion corrected using the NoRMCorre algorithm and processed using ImageJ software to obtain the original images after correction,and the labels were produced using the Labelme software.The neural network HDCGUnet was built using the original images and labels for training,and optimized to improve the model structure according to the training effect.Finally,the evaluation indexes were selected and compared with those of other models to verify the utility of this model.Results The HDCGUnet model,which was collected and made on our own,performed best in the two-photon calcium imaging dataset compared to other models,and performed well on the BBBC dataset either.Conclusion The HDCGUnet model provides a novel alternative for the recognition and segmentation of two-photon calcium imaging images.

A young maxillary lateral incisor of Oehlers type Ⅲ Dens invaginatus with peri-invagination periodontitis was reconstructed by CBCT,with the help of guided endodontics,the pathway to invagination was successfully established.The invaginated pseudo-root canal was treated with Vitapex mediation while preserving the pulp.After 6-month follow-up,the tooth was clinically asymptomatic.Radiological ex-amination indicated complete healing of the peri-invagination lesion with narrowed open apex,and the thickened root canal wall.

This article elaborates on the ecological mechanism of intelligent medical talent training, compares the training models of intelligent medical talents in China and globally, and combines the theory of educational ecology and the experience of intelligent medical talent training in College of Medical Informatics, Chongqing Medical University, to construct an ecological system for intelligent medical talent training from the three aspects of ecological subject, ecological object, and ecological environment, so as to realize the construction of intelligent medical discipline with the core of talent training, the focus on data construction, the support of platform service, and the purpose of medical application, thereby providing a reference for the training of comprehensive intelligent medical professionals in universities.

Objective To evaluate the regulatory effects of psilocybin on social behavior of male C57BL/6J mice.Methods Adult male C57BL/6J mice were intraperitoneally injected with psilocybin(0.2,1 and 5 mg/kg,i.p.),and the effects of psilocybin on prosocial behavior were evaluated by the three-chamber test.Stressed mice undergoing chronic social defeat stress(CSDS)were given acute intraperitoneal injection of psilocybin(1 mg/kg)to evaluate the moderation of social novelty preference behavior using the modified two-chamber test.Results Intraperitoneal injection of psilocybin(1 mg/kg)promoted prosocial behavior and prolonged social time(P＜0.01),while intraperitoneal injection of psilocybin(0.2 mg/kg)had no apparent effect on the prosocial behavior of mice,and intraperitoneal injection of psilocybin(5 mg/kg)inhibited prosocial behavior before promoting it.Further studies showed that intraperitoneal injection of psilocybin(1 mg/kg)increased the social novelty exploration time in stressed mice undergoing CSDS.Conclusion This study shows that 1 mg/kg dose of psilocybin can promote the prosocial behavior in mice,and potentially ameliorate the deficit of social novelty preference behavior in CSDS mice.

Laparoscopic right hemicolectomy is currently the most commonly used surgical procedure for right-sided colon cancer. Although this procedure is maturing in terms of key tech-niques such as the extent of surgical resection, the extent of lymph node dissection, and the recons-truction of digestive tract, it still lacks a standardized surgical procedure and quality control system. In the pre-preparation phase of the COLOR Ⅳ study (an international, multicenter, randomized contro-lled trail comparing the efficacy of intracorporeal anastomosis versus extracorporeal anasto-mosis in laparoscopic right hemicolectomy for right-sided colon cancer), the research team of the authors formulates a standardized procedure for laparoscopic right hemicolectomy based on the Delphi survey, and develops a competency assessment tool for surgical ability and quality. Attempts are being made to automate the evaluation of surgical techniques using artificial intelligence. It is hoped that the above work will help colorectal surgeons to standardize surgical operations and reduce complications, provide support for the homogenization of multicenter clinical studies, and promote the implementation of structured training for this procedure.

Purpose/Significance To explore the training path of smart medical compound talents with both medical knowledge and artificial intelligence(AI)engineering technology under the background of education digital transformation.Method/Process By apply-ing the methods of educational practice and literature research,the paper analyzes the challenges faced by education digital transforma-tion,expounds the construction method of the"real-virtual"digital transformation model of smart medical education,and puts forward the training path of smart medical talents.Result/Conclusion Under the background of education digital transformation,it is necessary to reshape the concept of smart medical education and innovate the evaluation mode of smart medical education,realize the reform of"teach-ing""learning"and"management"through the smart campus system.

The eutR gene deletion mutant of Salmonella enteritidis was successfully constructed by homologous recombination.Through the study of its biochemical characteristics,motility,resist-ance to stress in vitro and survival ability in RAW 264.7 cells,it was found that the biochemical characteristics and motility of the eutR gene deletion mutant of Salmonella enteritidis had no sig-nificant change compared with the wild type of Salmonella enteritidis.The ability of eutR gene de-letion strain of Salmonella enteritidis to resist acid,alkali and oxidation was significantly reduced,while the ability to resist heat was not significantly changed;the survival ability of eutR gene dele-tion strain in RAW 264.7 cells was significantly reduced compared with the wild type.In order to further analyze the effect of eutR gene on the expression of virulence factors of Salmonella enterit-idis,the relative expression levels of invH,ssav,ssrA,xthA,orf245,sodC,lrp,mrr1 and hflk virulence genes of the deletion strain and the wild strain were detected by SYBR Green PCR.It was found that the expression of the virulence factors mentioned above in the eutR gene deletion strain of Salmonella enteritidis was significantly down-regulated compared with that in the wild-type strain.The LD50 of the eutR gene-deleted strain of Salmonella enteritidis was determined by ani-mal experiments,and the results showed that the LD50 of the eutR gene-deleted strain was higher than that of the wild-type strain,indicating that the eutR gene could affect the virulence of Salmonella.This study clarified the effect of eutR gene on the survival ability,some biological characteristics and virulence of Salmonella enteritidis in macrophages,and provided a new gene knockout target for the development of attenuated Salmonella enteritidis genetic engineering vac-cine.