BackgroundIndividuals with schizophrenia are prone to higher rates of hospital readmission， presenting significant clinical challenges and imposing considerable social burdens within the mental health domain. In recent years， various risk prediction models have been developed to forecast readmission in patients with schizophrenia and support clinical decision-making， but their predictive performance and clinical applicability require comprehensive evaluation. ObjectiveTo systematically evaluate the risk prediction models for readmission in patients with schizophrenia， so as to provide insights for the development of high-performance and highly applicable readmission risk prediction models for patients with schizophrenia. MethodsOn July 5， 2025， a systematic literature search was conducted across multiple electronic databases， including PubMed， Embase， Cochrane Library， Web of Science， CINAHL， CNKI， China Biomedical Literature Database， Wanfang Database， and VIP Database， to identify risk prediction models for readmission in patients with schizophrenia. The search period was from the establishment of the databases to July 1， 2025. Two researchers independently performed literature screening， data extraction， risk of bias assessment， and applicability assessment. ResultsA total of 9 studies were included in this review， encompassing 18 risk prediction models for readmission in patients with schizophrenia. Among them， 4 models reported the area under the receiver operating characteristic （ROC） curve （AUC）， ranging from 0.734 to 0.820， 16 models provided AUC values of 0.642–0.879 for internal validation， and 1 model demonstrated an AUC of 0.841 for external validation. Key predictors included disease duration and the concomitant therapy of antipsychotic medications. The risk of bias was assessed as "high" in all included studies. ConclusionThe development of risk prediction models for readmission in patients with schizophrenia remains in an exploratory stage. Although the model exhibits favorable predictive performance， it is associated with a high risk of bias and insufficient performance evaluation.

[Objective] : To predict the autophagy-related pathogenesis and key diagnostic genes of diabetic kidney disease (DKD) through bioinformatics analysis, and to identify related Chinese medicines. [Methods] : Data from sequencing microarrays GSE30528, GSE30529, and GSE1009 in the Gene Expression Omnibus (GEO) were employed. Differentially expressed genes (DEGs) with adjusted P < 0.05 from GSE30528 and GSE30529 were identified. Combining these DEGs with the human autophagy gene database, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses, and protein-protein interaction (PPI) network analysis were conducted on the obtained DKD autophagy-related genes. Subsequently, the least absolute shrinkage and selection operator (LASSO) regression and support vector machine-recursive feature elimination (SVM-RFE) algorithms were adopted to select autophagy-related genes. The diagnostic capability of these genes was assessed through analysis with the external validation set from microarray GSE1009, and relevant Chinese medicines were inversely predicted using the SymMap database. [Results] : A total of 2 014 DEGs were selected from GSE30528 and GSE30529, leading to the identification of 37 DKD autophagy-related genes. GO analysis indicated 681 biological mechanisms, including autophagy regulation and plasma membrane microdomain activity. KEGG enrichment analysis identified 112 related signaling pathways. PPI network analysis showed a marked enrichment of autophagy-related genes in DKD. Through LASSO regression and SVM-RFE, four core diagnostic genes for autophagy in DKD were identified: protein phosphatase 1 regulatory subunit 15A (PPP1R15A), hypoxia inducible factor 1 alpha subunit (HIF1α), deleted in liver cancer 1 (DLC1), and ceroid lipofuscinosis neuronal 3 (CLN3). The external validation set demonstrated high diagnostic efficiency for these genes. Finally, 146 kinds of potential Chinese medicines were predicted using the SymMap database, with heatclearing and detoxifying medicine and blood-activating and stasis-eliminating medicine accounting for the largest proportion (25/146 and 13/146, respectively). [Conclusion] This study analyzed and validated bioinformatics sequencing databases to elucidate the potential molecular mechanisms of DKD autophagy and predicted key diagnostic genes, potential therapeutic targets, and related Chinese medicines, laying a solid foundation for clinical research and application.

Objective:To explore the in vitro radiation levels and in vivo neutron activation after patients receiving boron neutron capture therapy (BNCT). Methods:Totally 29 BNCT treatments were performed for 21 patients with head and neck and brain cancer using the NeuPex accelerator-based boron neutron capture therapy (AB-BNCT) system in Xiamen Humanity Hospital from October, 2022 to April, 2024. The ambient dose equivalent rate around the patients was measured with an X/gamma dose rate survey meter. The gamma radiation dose rates were measured at 0, 0.5, 1.0, and 2.0 m from the irradiation position, at 0, 0.5, 1.0, and 2.0 m from the opposite side of the irradiation position, and at the navel and the affected knee, respectively. Meanwhile, a portable high-purity germanium gamma spectrometer was used to measure the spectrum of activated nuclides in the bodies of patients who had underwent the treatment, and the types of radionuclides generated by neutron activation during each BNCT treatment were analyzed.Results:The radionuclides 24Na, 38Cl, and 49Ca were mainly produced in the bodies of patients treated with BNCT. 20 minutes after BNCT treatment, the ambient dose equivalent rate at a distance of 1.0 m from the irradiation position was lower than 2.5 μSv/h. Conclusions:The dose delivered to the staff and family members by the patients undergoing BNCT is relatively low, and the resulting radiation risk is low. According to the ALARA principle, it is recommended that certain control actions be taken for patients having received BNCT treatment to minimize the exposure doses of both patients and staff as much as possible.

With the rapid advancement of synthetic biology, CRISPR-Cas systems have emerged as a powerful tool for gene editing, demonstrating significant potential in various fields, including medicine, agriculture, and industrial biotechnology. This review comprehensively summarizes the significant progress in applying artificial intelligence (AI) technologies to the design, mining, and modification of CRISPR-Cas systems. AI technologies, especially machine learning, have revolutionized sgRNA design by analyzing high-throughput sequencing data, thereby improving the editing efficiency and predicting off-target effects with high accuracy. Furthermore, this paper explores the role of AI in sgRNA design and evaluation, highlighting its contributions to the annotation and mining of CRISPR arrays and Cas proteins, as well as its potential for modifying key proteins involved in gene editing. These advancements have not only improved the efficiency and precision of gene editing but also expanded the horizons of genome engineering, paving the way for intelligent and precise genome editing.
CRISPR-Cas Systems/genetics* ; Artificial Intelligence ; Gene Editing/methods* ; RNA, Guide, CRISPR-Cas Systems/genetics* ; Machine Learning ; Humans ; Genetic Engineering/methods* ; Synthetic Biology

Objective:To explore the in vitro radiation levels and in vivo neutron activation after patients receiving boron neutron capture therapy (BNCT). Methods:Totally 29 BNCT treatments were performed for 21 patients with head and neck and brain cancer using the NeuPex accelerator-based boron neutron capture therapy (AB-BNCT) system in Xiamen Humanity Hospital from October, 2022 to April, 2024. The ambient dose equivalent rate around the patients was measured with an X/gamma dose rate survey meter. The gamma radiation dose rates were measured at 0, 0.5, 1.0, and 2.0 m from the irradiation position, at 0, 0.5, 1.0, and 2.0 m from the opposite side of the irradiation position, and at the navel and the affected knee, respectively. Meanwhile, a portable high-purity germanium gamma spectrometer was used to measure the spectrum of activated nuclides in the bodies of patients who had underwent the treatment, and the types of radionuclides generated by neutron activation during each BNCT treatment were analyzed.Results:The radionuclides 24Na, 38Cl, and 49Ca were mainly produced in the bodies of patients treated with BNCT. 20 minutes after BNCT treatment, the ambient dose equivalent rate at a distance of 1.0 m from the irradiation position was lower than 2.5 μSv/h. Conclusions:The dose delivered to the staff and family members by the patients undergoing BNCT is relatively low, and the resulting radiation risk is low. According to the ALARA principle, it is recommended that certain control actions be taken for patients having received BNCT treatment to minimize the exposure doses of both patients and staff as much as possible.

Objective To explore the research dynamics and hotspots of project management in the field of hospital man-agement,and analyze the contents that still need to be improved,so as to provide references for the subsequent research,and provide hospital managers with practical experience in hospital management.Methods Based on the PubMed database,we used the citexs data analysis platform to analyze the literature and big data from January 2012 to December 2022 on the application of project management in the field of hospital management.Results The effective literature was retrieved from 4236 articles,and the analysis found thatthe annualnumberofpublicationsinthisfield hasbeenincreasing,2021 sawthe highestannualnumberof 573 articles,and the fastest growth rate was 20.36% in 2017.The country with the most publications is the United States(1 546 articles,36.5% ),the research institution with the most publications is Monash University,Australia,the journal with the most publications is BMJ Open(124 articles),and the key words with the highest frequency of occurrence in the retrieved literature are quality improvement,primary care improvement,covid-19,telemedicine.Conclusion The research in this field has been rapidly developed and is in a fast rising phase.In almost every organization and industry,the share of project management or"projectization"is increasing,and project management has become an important part of hospital management research and prac-tice.In the context of building a modern hospital management system,the application of project management to hospital manage-ment is an effective means of improving the level of fine hospital management.

Objective To sort out and summarize the research hotspots and trends of Chinese medicine nursing technolo-gy at the present stage.Methods We searched the research literature on TCM nursing technology included in China Knowledge,Wanfang,and Wipu build-up to November 30,2023,and used CiteSpace 6.1.R6 software to perform co-occurrence analysis of research institutions and keyword clustering,timeline,and emergence analysis.Results A total of 5 771 documents were in-cluded,with a general upward trend in the number of publications,peaking at 692 publications in 2021.5 206 documents from 673 journals were included in the research literature,of which 19 journals had ≥50 publications(35.47％).2 087 research or-ganizations were involved,of which 27 had ≥20 publications(13.24％).Involving 9 484 authors,there were a total of 8 au-thors ≥5 in the cluster,indicating the existence of stable teamwork in the cluster.The keyword co-occurrence analysis yielded the research hotspots of TCM nursing technology as TCM nursing,training,nursing management,clinical efficacy,complica-tions,and quality of life.Conclusion Based on the econometrics and visualization analysis of the literature on TCM nursing technology,we explored the research hotspots and trends in this field,and provided two theoretical paths for medical institution managers to construct and optimize the management system of TCM nursing technology:to standardize the TCM nursing technology in hospitals and establish a clinical access management system;and based on the multidimensional management method,to inno-vate the training system of TCM nursing technology.

Objective To observe the influence of functional ankle instability(FAI)on balance and lower limb explosive power. Methods A total of 26 male FAI participants,13 bilateral(bilateral group)and 13 left(left group),who regularly en-gaged in high-intensity exercise,were recruited at Harbin Sport University in May,2024.Meanwhile,13 unin-jured male participants who engaged in high-intensity exercise were recruited as control group.They were mea-sured the moving area of the left foot,right foot and body center of gravity standing on feet with the eyes opened and closed;as well as the sway angle,confidence ellipse diameter(maximum and minimum)to circle area ratio,sway ratio and confidence ellipse standing on single foot,with Gaitview plantar pressure analysis system.They were also tested with Y-balance test(YBT),and were measured flight time and center of gravity height during jumps single leg left/right drift,stiffness and counter movement jump using Opto-jump Optical Measurement of Motor Quality. Results There were significant differences among the groups in swing angle,confidence ellipse diameter(maximum and minimum)to circle area ratio,swing ratio and confidence ellipse as left-leg stance with eyes closed(F>3.300,P<0.05),which was the least in the control group(P<0.05).Swing angle,swing ratio and confidence ellipse were also different among the groups as right-leg stance with eyes closed(F>4.404,P<0.05),and they were less in the control group than in the bilateral group(P<0.05),and less in the left group than in the bilateral group(P<0.05),except swing angle.There was a significant difference in YBT results(F>3.649,P<0.05),which was the least in the bilateral group(P<0.05).There were significant differences in the flight time and center of gravity height during counter movement jump(F>7.458,P<0.01),which was the least in the bilateral group(P<0.05). Conclusion FAI may impair the static balance as single-leg stance with eyes closed,dynamic balance and lower limb ex-plosive power.

Objective To explore the effectiveness of a PBL-CBL teaching model oriented towards competency evaluation after the introduction of standardized patients in orthopedic clinical internship teaching.Methods Eighty-nine medical students undergoing orthopedic internships at our hospital from 2022 to 2023 were divided into an S-PC teaching group and a PC teaching group.Based on Milestones 2.0,a competency evaluation model for orthopedic interns was established,including six primary in-dicators:patient care,clinical knowledge and skills,interpersonal communication,and more.After the course,students were as-sessed according to the established model.Results The S-PC group showed statistically significant differences in scores for pa-tient care,clinical knowledge and skills,interpersonal communication,system-based practice,and practice-based learning com-pared to the PC group(P＜0.05),with all scores in the S-PC group being higher than those in the PC group.Conclusion In-troducing standardized patients into the PBL-CBL teaching model in clinical education significantly enhances the competency of orthopedic interns.

Objective To investigate the expression of fibroblast growth factor (FGF)19 in neonatal hyperbilirubinemia and its correlation with intestinal flora characteristics and β-glucuronidase (β-GD) activity. Methods Seventy-five neonates with hyperbilirubinemia in Daqing Longnan Hospital from January 2022 to January 2023 were selected as the observation group and 45 neonates with non-hyperbilirubinemia during the same period were selected as the control group.Serum FGF19,total bilirubin and total bile acid levels,intesti-nal flora characteristics and β-GD activity were compared between the two groups.The correlation between FGF19,intestinal flora and β-GD activity with serum total bilirubin level and total bile acid (TBA) level in newborns with hyperbilirubinemia and the correlation between FGF19 with the intestinal flora characteristics and β-GD activity were analyzed by the Pearson method.Results The serum FGF19 level in the observation group was lower than that in the control group,the total bilirubin and TBA levels and β-GD activity were higher,the number of bifidobacterium and Lactobacillus were much less,the number of Escherichia coli was more,and the differences were statistically significant (P<0.05).The FGF19 level and number of bifidobac-terium and Lactobacillus in newborns with hyperbilirubinemia were negatively correlated with the levels of se-rum total bilirubin and TBA levels,while the number of Escherichia coli and β-GD activity were positively cor-related with the levels of serum total bilirubin and TBA (P<0.05).FGF19 in hyperbilirubinemia neonates was positively correlated with the number of bifidobacterium and Lactobacillus,and negatively correlated with Escherichia coli and β-GD activity (P<0.05).Conclusion The serum FGF19 in neonates with hyperbilirubinemia is abnormally low expressed,moreover which is related to intestinal flora disturbance and β-GD activity.