Objective: To explore the relationship between related factors of non-suicidal self-injury behavior (NSSI) among middle school students in Guizhou Province, so as to provide the evidence for preventing high risk behaviors in adolescents. Methods: A stratified cluster random sampling method was used to select 1 034 junior and senior middle school students from Zunyi City, Qiannan Prefecture and Tongren City in Guizhou Province from April to October in 2023. Questionnaire survey was conducted to collect information including Adolescent Self injury Scale and Family Assessment Device. The R 4.4.1 software was employed for network analysis visualization, centrality indicators, and result stability assessment. Results: The detection rate of NSSI behavior among middle school students in Guizhou province was 29.6%, with a detection rate of 25.5% for boys and 33.1% for girls, showing a statistically significant difference ( χ 2=7.07, P <0.05). There were statistically significant differences in scores of emotional communication, egoism, family rules, positive communication, problem solving, expression of positive emotions and management of negative emotions self-efficacy, and bullying victimization in various dimensions between middle school students with and without NSSI ( Z =-13.66 to -7.05, P <0.01). NSSI among middle school students was positively correlated with social/relational bullying, depression and anxiety, and there were relatively close connections in the network ( r =0.35, 0.43, 0.42, P <0.01). Centrality indicators showed that the highest in strength and closeness centrality were stress ( Z =1.29, 1.58), the highest in betweenness centrality was for emotional communication ( Z =1.91), and the highest in expected influence index was for physical bullying ( Z =1.44)( P < 0.05). Conclusions Stress, emotional communication and physical bullying have significant impacts in the network of factors related to NSSI. Social/relational bullying, depression and anxiety have strong direct correlations with NSSI behavior among middle school students.

The emergence and evolution of digital intelligent technology has profoundly influenced the development of minimally invasive research-oriented hepatobiliary and pancreatic surgery discipline. Over various periods, our team has always adhered to the principle of "being oriented by clinical issues and driven by clinical needs", continuously carried out innovative research across interdisciplinary boundaries, propelling the evolution of digital intelligent technology. Spanning over two decades, this journey includes the progression from digital virtual human, three-dimensional visualization, molecular fluorescence imaging, augmented reality and mixed reality, artificial intelligence, to the realm of human visualization meta-universe. This evolution facilitates the shift from two-dimensional empirical diagnoses of hepatobiliary and pancreatic surgical diseases to deep learning intelligent diagnostics, the transition from morphology-based tumor diagnoses to molecular imaging-based diagnostics, and from conventional empirical surgery to intelligent navigation surgery. The authors provide a comprehensive review of our developmental process and achievements within the realm of digital intelligent diagnostic and therapeutic technologies, with the aims to promote the development and application of digital intelligent medicine.

As 2021 is known as the “first year of the metaverse”, the concept of metaverse is promoting a multi-field innovation revolution on a global scale. The new experiences and technologies it brings are expected to provide solutions for the difficulties in the field of human visualization surgery in disease diagnosis, preoperative planning, surgical treatment, medical education, health management and patient experience. This opens up opportunities for the next wave of disruptive technology innovation. This paper proposes a new concept of “human visualization metaverse”, and summarizes its innovative application, future development direction and challenges to promote the research and development of human visualization metaverse,and to explore the application potential of metaverse technology in the field of surgery to advance the research and development of the metaverse for human visualization.

To establish the amplification-refractory mutation system quantitative real-time PCR (ARMS-qPCR) method based on qPCR technique for detecting the c.2T>C mutation of SLC25A13 gene and validate its diagnostic performance. According to the principle of ARMS-qPCR primer design, the specific primers were designed for the conserved sequence of SLC25A13. The c.2T>C mutation ARMS-qPCR detection assay of SLC25A13 gene and the corresponding Sanger sequencing system were established through the use of the synthetic plasmids of homozygous mutation and 200 human peripheral blood specimens which were verified by Sanger sequencing as templates, and the diagnostic efficacy of the qPCR assay was validated by using nucleic acid extracted from another 200 human peripheral blood specimens and the results obtained were compared with the Sanger sequencing results as the gold standard, and the consistency of the two detection methods was analyzed. The results showed that the qPCR assay could accurately identify artificial plasmids carrying different mutations of SLC25A13 gene, and distinguish between wild type SLC25A13 gene and the c.2T>C mutation. This method was used to detect the mutation status of SLC25A13 c.2T>C in human peripheral blood, and the detection results were 100% consistent with the Sanger sequencing results. Among the 200 blood samples, 8 samples (4%) carried the c.2T>C mutation of SLC25A13 gene and 192 samples (96%) did not carry it. In conclusion, the ARMS-qPCR test established in this study can quickly, simply and accurately detect the c.2T>C mutation of SLC25A13 gene, which is helpful for the diagnosis of citrin deficiency (CD).

Epitopes are the basis of antigenicity and the smallest functional unit to induce immune response.Identification of B-cell epitopes is of great significance for the development of new vaccines and therapeutic drugs as well as diagnostic reagents.In this paper,the methods applied in the study of B-cell epitopes mapping in recent years are reviewed and their advantages and shortages are analyzed.

To establish the amplification-refractory mutation system quantitative real-time PCR (ARMS-qPCR) method based on qPCR technique for detecting the c.2T>C mutation of SLC25A13 gene and validate its diagnostic performance. According to the principle of ARMS-qPCR primer design, the specific primers were designed for the conserved sequence of SLC25A13. The c.2T>C mutation ARMS-qPCR detection assay of SLC25A13 gene and the corresponding Sanger sequencing system were established through the use of the synthetic plasmids of homozygous mutation and 200 human peripheral blood specimens which were verified by Sanger sequencing as templates, and the diagnostic efficacy of the qPCR assay was validated by using nucleic acid extracted from another 200 human peripheral blood specimens and the results obtained were compared with the Sanger sequencing results as the gold standard, and the consistency of the two detection methods was analyzed. The results showed that the qPCR assay could accurately identify artificial plasmids carrying different mutations of SLC25A13 gene, and distinguish between wild type SLC25A13 gene and the c.2T>C mutation. This method was used to detect the mutation status of SLC25A13 c.2T>C in human peripheral blood, and the detection results were 100% consistent with the Sanger sequencing results. Among the 200 blood samples, 8 samples (4%) carried the c.2T>C mutation of SLC25A13 gene and 192 samples (96%) did not carry it. In conclusion, the ARMS-qPCR test established in this study can quickly, simply and accurately detect the c.2T>C mutation of SLC25A13 gene, which is helpful for the diagnosis of citrin deficiency (CD).

As 2021 is known as the “first year of the metaverse”, the concept of metaverse is promoting a multi-field innovation revolution on a global scale. The new experiences and technologies it brings are expected to provide solutions for the difficulties in the field of human visualization surgery in disease diagnosis, preoperative planning, surgical treatment, medical education, health management and patient experience. This opens up opportunities for the next wave of disruptive technology innovation. This paper proposes a new concept of “human visualization metaverse”, and summarizes its innovative application, future development direction and challenges to promote the research and development of human visualization metaverse,and to explore the application potential of metaverse technology in the field of surgery to advance the research and development of the metaverse for human visualization.

Objective To investigate the clinical and imaging features of testicular interstitial lesions in children.Methods The clinical and imaging data of 8 children with testicular interstitial lesions confirmed by pathology were analyzed retrospectively.Results There were 8 cases of precocious puberty,5 cases of elevated sex hormones,and 2 cases of congenital adrenal hyperplasia(CAH).The lesions were located in the unilateral testis in 6 cases,bilateral in 2 cases,single in 4 cases,and multiple in 4 cases,with diameters 3-14 mm,all of them with clear boundaries.4 cases of leydig cell hyperplasia(LCH)showed heterogeneous hypoechoic lesions,with slightly significant blood flow signal on color Doppler flow imaging(CDFI);CT showed iso-density lesions with mild enhanced after enhancement;MRI showed iso-signal on T1WI,and T2WI fat suppression were iso-signal mainly with mild enhanced after enhancement.2 cases of leydig cell tumor(LCT)showed heterogeneous hypoechoic lesions with significant blood flow signals inside and around on CDFI,CT showed iso and slightly low density with low-density necrosis,which were inhomogeneously and significantly enhanced after enhancement.2 cases of testicular adrenal rest tumor(TART)showed heterogeneous hypoechoic lesions with significant blood flow signals inside and around on CDFI;CT showed iso and slightly low density,with inhomogeneouly and significantly enhanced after enhancement;MRI showed iso-signal mainly on T1WI,and T2WI fat suppression were slightly low signal mainly with mixed signal,which were inhomogeneously and significantly enhanced after enhancement,complicated with adrenal hyperplasia.Conclusion The imaging findings of testicular interstitial lesions in children have certain characteristics,and the combination of clinical manifestations,basic diseases,laboratory and a variety of imaging examinations are helpful in improving diagnostic efficiency.

Chinese materia medica is the material basis of the development of traditional Chinese medicine， but the rapid growth of the demand for Chinese materia medica resources and environmental deterioration make a large number of wild medicine resources endangered. At present， artificial cultivation of Chinese medicinal materials is the main way to alleviate the contradiction between supply and demand in the market， but the production and quality of medicinal materials are seriously affected by the lack of process control， specialization and fine management in medicinal plant cultivation. Early prediction and evaluation of the growth， yield， diseases and insect pests of medicinal plants is an important technical means to guarantee the yield and quality of Chinese medicinal materials， and effective and non-destructive process monitoring technology is the prerequisite for realizing the modernization of Chinese medicine agriculture. With the advantages of rapid， non-destructive and accurate detection， hyperspectral remote sensing has been widely used in recent years for plant growth information extraction and yield assessment， as well as monitoring crop growth and response to adversity stress， becoming an important technical tool for precision agricultural production such as quality monitoring and pest and disease prevention. Therefore， combined with hyperspectral data processing and analysis methods， the application of hyperspectral remote sensing technology in monitoring plant physiological characteristics， environmental stress， resource investigation and quality inspection of medicinal materials is systematically reviewed， and combined with the characteristics of medicinal plants， the application prospect of hyperspectral remote sensing technology in improving the monitoring ability of production process of Chinese medicinal materials， realizing real-time dynamic monitoring of medicinal materials cultivation， developing early diagnosis technology of pests and diseases for nondestructive detection， and establishing quality traceability of high-quality Chinese medicinal materials is discussed， in order to solve the related problems in precision cultivation of Chinese medicine agriculture by hyperspectral remote sensing technology， and provide new ideas and solutions for the sustainable utilization of Chinese medicine resources and the development of intelligent Chinese medicine agriculture.

ObjectiveIn this study， the two different origins of Lycii Cortex in the 2020 edition of Chinese Pharmacopoeia were determined to analyze their chemical consistency by comparing their main chemical composition. MethodThirty representative batches of Lycii Cortex were collected， content determination and fingerprint analysis methods were established by ultra performance liquid chromatography-photodiode array detector （UPLC-PDA） combining with multivariate statistical analysis to evaluate the similarities and differences between two origins of Lycii Cortex. Respectively by the mobile phase of acetonitrile （A）-0.15% trifluoroacetic acid aqueous solution （B） and the mobile phase of acetonitrile （A）-0.1% formic acid aqueous solution （B） for gradient elution （0-4 min， 5%-12%A； 4-8 min， 12%A； 8-12 min， 12%-14%A； 12-15 min， 14%-30%A； 15-17 min， 30%-40%A； 17-18 min， 40%-90%A）， and the detection wavelength was set at 280 nm. ResultThis established content determination and fingerprint methods had good precision， stability and repeatability. The similarities of 30 batches of Lycii Cortex were above 0.90 by comparing with the control fingerprint， and the eight common peaks in fingerprints of Lycii Cortex from Lycium barbarum and L. chinense were all phenolic amides， which were kukoamine B， N-（4，9，13-triazatridecan-1-yl）-3，4-dihydroxybenzenepropanamide， feruloylputrescine， N₁，N₅-bis （dihydrocaffeoyl） spermidine or N₅，N₁₀-bis （dihydrocaffeoyl） spermidine， N₅-caffeoyl-N₁₀-dihydrocaffeoylspermidine， N₅-dihydrocaffeoyl-N₁₀-caffeoylspermidine， N₁，N₅-bis （caffeoyl） spermidine and lyciumin A. Among them， the content ranges of kukoamine B in Lycii Cortex from L. chinense and L. barbarum were 1.22%-8.18%， 2.52%-12.24%， respectively. ConclusionThe established UPLC analysis method can be used for the content determination and fingerprint analysis of Lycii Cortex. This study indicates that chemical contour of Lycii Cortex from L. barbarum and L. chinense are similar， there are no significant differences in kukoamine B content， and they have consistency in the chemical composition.