Objective:To investigate the effect of a rapid rehabilitation nursing model under the theoretical framework of Rogers' Science of Unitary Human Beings in the postoperative care of children undergoing radical operation on Hirschsprung's disease.Methods:A total of 91 children with Hirschsprung's disease and their parents who underwent radical surgery at the Children's Hospital Affiliated to Zhengzhou University (Henan Children's Hospital, Zhengzhou Children's Hospital) between January 2022 and January 2024 were selected by convenience sampling. Using a computer-generated random number table, they were randomly divided into an intervention group ( n=46) and a control group ( n=45). The control group received routine surgical nursing, while the intervention group received a rapid rehabilitation nursing model based on Rogers' theoretical framework in addition to routine care. Postoperative pain stress, anorectal function, gastrointestinal functional recovery, and parental satisfaction were compared between the two groups. Results:On the third postoperative day, the intervention group had lower scores on the FLACC scale, better anorectal function, and shorter times to first bowel sound, first anal exhaust, and first defecation than the control group. The overall parental satisfaction rate in the intervention group was 86.96% (40/46), higher than 51.11% (23/45) in the control group, and the differences were statistically significant (all P<0.05) . Conclusions:The rapid rehabilitation nursing model under the theoretical framework of Rogers' Science of Unitary Human Beings showed significant effectiveness in children undergoing radical operation on Hirschsprung's disease. It reduced postoperative pain, promoted recovery of anorectal and gastrointestinal function, and improved parental satisfaction.

Objective:To explore the predictive value of systemic immune inflammation index combined with stress response index for postoperative urinary tract infection in patients with complicated kidney stones.Methods:From June 2021 to June 2023,97 patients who underwent treatment for urinary tract infection after complex kidney stone operation in Cangzhou Hospital of Integrated Traditional and Western Medicine were selected as infected group,and 87 patients who did not develop urinary tract infection after complex kidney stone operation were selected as uninfected group.Systemic immunoinflammatory index(SII),neutrophils,lympho-cyte,platelet,malondialdehyde(MDA),superoxide dismutase(SOD),catalase(CAT)levels were detected.Multivariate Logistic regression analysis was performed to analyze risk factors of postoperative urinary tract infection,and ROC curve was drawn to analyze the predictive value of SII,MDA,SOD and CAT alone and combined detection for postoperative urinary tract infection in patients with complex kidney stones.Results:Compared with uninfected group,levels of SII,neutrophils and MDA were increased in infected group,while levels of SOD and CAT were decreased(P<0.05).Levels of lymphocytes and platelets were decreased,the difference was not statistically significant(P>0.05).Multivariate Logistic regression analysis showed that presence of urinary tract history,opera-tion time≥100 min,urinary catheter retention time≥7 d,presence of preoperative urinary tract infection,stone load≥1 000 mm2,combined renal dysfunction,and preoperative blood glucose≥6.15 mmol/L were main risk factors for postoperative urinary tract infection in patients with complex kidney stones.ROC curve showed that combined detection was significantly more effective than single detec-tion of SII,MDA,SOD and CAT in the diagnosis of postoperative urinary tract infection in patients with precomplex kidney stones.Conclusion:Patients with urinary tract infection after complicated kidney stones have increased SII and MDA,decreased SOD and CAT levels,and the abnormal increased or decreased expression level are the predictors of risk of urinary tract infection after compli-cated kidney stones,which may be related with the diagnosis,development and prognosis of the disease.

Objective:To explore the predictive value of systemic immune inflammation index combined with stress response index for postoperative urinary tract infection in patients with complicated kidney stones.Methods:From June 2021 to June 2023,97 patients who underwent treatment for urinary tract infection after complex kidney stone operation in Cangzhou Hospital of Integrated Traditional and Western Medicine were selected as infected group,and 87 patients who did not develop urinary tract infection after complex kidney stone operation were selected as uninfected group.Systemic immunoinflammatory index(SII),neutrophils,lympho-cyte,platelet,malondialdehyde(MDA),superoxide dismutase(SOD),catalase(CAT)levels were detected.Multivariate Logistic regression analysis was performed to analyze risk factors of postoperative urinary tract infection,and ROC curve was drawn to analyze the predictive value of SII,MDA,SOD and CAT alone and combined detection for postoperative urinary tract infection in patients with complex kidney stones.Results:Compared with uninfected group,levels of SII,neutrophils and MDA were increased in infected group,while levels of SOD and CAT were decreased(P<0.05).Levels of lymphocytes and platelets were decreased,the difference was not statistically significant(P>0.05).Multivariate Logistic regression analysis showed that presence of urinary tract history,opera-tion time≥100 min,urinary catheter retention time≥7 d,presence of preoperative urinary tract infection,stone load≥1 000 mm2,combined renal dysfunction,and preoperative blood glucose≥6.15 mmol/L were main risk factors for postoperative urinary tract infection in patients with complex kidney stones.ROC curve showed that combined detection was significantly more effective than single detec-tion of SII,MDA,SOD and CAT in the diagnosis of postoperative urinary tract infection in patients with precomplex kidney stones.Conclusion:Patients with urinary tract infection after complicated kidney stones have increased SII and MDA,decreased SOD and CAT levels,and the abnormal increased or decreased expression level are the predictors of risk of urinary tract infection after compli-cated kidney stones,which may be related with the diagnosis,development and prognosis of the disease.

Cone-beam computed tomography (CBCT) is widely used in dentistry, surgery, radiotherapy and other medical fields. However, repeated CBCT scans expose patients to additional radiation doses, increasing the risk of secondary malignant tumors. Low-dose CBCT image reconstruction technology, which employs advanced algorithms to reduce radiation dose while enhancing image quality, has emerged as a focal point of recent research. This review systematically examined deep learning-based methods for low-dose CBCT reconstruction. It compared different network architectures in terms of noise reduction, artifact removal, detail preservation, and computational efficiency, covering three approaches: image-domain, projection-domain, and dual-domain techniques. The review also explored how emerging technologies like multimodal fusion and self-supervised learning could enhance these methods. By summarizing the strengths and weaknesses of current approaches, this work provides insights to optimize low-dose CBCT algorithms and support their clinical adoption.
Cone-Beam Computed Tomography/methods* ; Deep Learning ; Humans ; Algorithms ; Image Processing, Computer-Assisted/methods* ; Radiation Dosage ; Artifacts

Objective:To investigate human factors underlying radiotherapy planning safety incidents and quantitatively explore their interrelationships.Methods:A total of 1 619 safety incidents recorded in the automated plan checking system developed by West China Hospital of Sichuan University were utilized. Human factors were identified and statistically analyzed using the Human Factors Analysis and Classification System (HFACS). A Bayesian network model was developed and combined with sensitivity analysis for quantitative assessment.Results:Key contributing factors included organizational processes (12.89%), inadequate supervision (11.85%), and personnel factors (13.50%). Utilizing the established HFACS Bayesian network hybrid model in conjunction with sensitivity analysis, it has been found that the most significant influences on skill‐based errors and decision errors were condition of operators and environmental factors, with corresponding indices of 0.96 and 0.76. Additionally, personnel factors had the greatest impact on routine, with an index of 3.51.Conclusions:Key contributing factors span all HFACS levels, with organizational processes, supervision, personnel, and condition of operators each playing a significant role. Upstream factors — such as organizational climate, environment factors, and personnel factors — strongly influence downstream risks. These offer actionable insights for developing targeted safety protocols.

Traditional development of small protein scaffolds has relied on display technologies and mutation-based engineering, which limit sequence and functional diversity, thereby constraining their therapeutic and application potential. Protein design tools have significantly advanced the creation of novel protein sequences, structures, and functions. However, further improvements in design strategies are still needed to more efficiently optimize the functional performance of protein-based drugs and enhance their druggability. Here, we extended an evolution-based design protocol to create a novel minibinder, BindHer, against the human epidermal growth factor receptor 2 (HER2). It not only exhibits super stability and binding selectivity but also demonstrates remarkable properties in tissue specificity. Radiolabeling experiments with ^99mTc, ⁶⁸Ga, and ¹⁸F revealed that BindHer efficiently targets tumors in HER2-positive breast cancer mouse models, with minimal nonspecific liver absorption, outperforming scaffolds designed through traditional engineering. These findings highlight a new rational approach to automated protein design, offering significant potential for large-scale applications in therapeutic mini-protein development.

Space medicine,as a comprehensive discipline ensuring the safety,health,and efficient performance of astronauts during manned space missions,focuses on elucidating the underlying mechanisms of multi-system physiological effects induced by extreme space environments and developing corresponding protective strategies.With China's space program transitioning into an application and development phase,space medical experiments—a critical domain within space applications—face significant opportunities and challenges.This paper reviews the international development trend in the field of medical experiments and the progress in China from perspectives including platform system construction,utilization of novel technologies,and scientific discoveries.It further outlines the engineering framework,guiding ideology,and key research directions for space medical experiments under China's Space Station Application and Development Project.Deliberations and prospects center on the in-depth analysis of the adaptation law of life in space flight,the application of big data and artificial intelligence technology,the emerging challenges it faces,and the scientific research organization models.This work aims to provide a reference for the development of space medical experiment field in China.

Objective To explore the effect of transjugular intrahepatic portosystemic shunt(TIPS)on gut microbiota and blood ammonia level in patients with decompensated cirrhosis,and to analyze the correlation between the gut microbiota and blood ammonia level.Methods From July 2021 to December 2023,the patients with decompensated cirrhosis and portal hypertension complicated by esophagogastric variceal bleeding and/or refractory ascites,who received TIPS at Zhuhai Hospital of Guangdong Provincial Hospital of Traditional Chinese Medicine,were collected.The blood and stool samples were collected before and after TIPS.The changes in blood routine,prothrombin time,liver function,and blood ammonia level were determined.The change of gut microbiota was detected using 16S rRNA high-throughput sequencing,and Spearman correlation analysis was used to assess the correlation between the gut microbiota and blood ammonia level.Results In 20 patients,the post-TIPS one-month levels of AST,TBil,DBiL,PT,and blood ammonia were higher than their pre-TIPS values(P＜0.05),and the albumin(Alb)level was lower than the pre-TIPS value(P＜0.05).The post-TIPS 3-month levels of TBil,DBil,PT,and blood ammonia were higher than their pre-TIPS values(P＜0.05).One month after TIPS,the beta diversity of the gut microbiota became significantly different from the pre-TIPS pattern(P＜0.05).After TIPS,the harmful bacteria such as Veillonella,Streptococcus and Haemophilus were significantly reduced,the difference was statistically significant(P＜0.05).The correlation analysis of gut microbiota and blood ammonia level showed that in T0 group Colidextribacter was positively correlated with blood ammonia level,while Roxobella was negatively correlated with blood ammonia level;and in T1 group,Colidextribacter and Streptococcus were positively correlated with blood ammonia level,while Coprococcus,Bifidobacterium and Parasutterella were negatively correlated with blood ammonia level,and the differences were statistically significant(all P＜0.05).Conclusion In patients with decompensated cirrhosis after receiving TIPS,significant changes in the pattern of gut microbiota occur.Certain correlations exist between the changes of some microbiota and blood ammonia levels.Regulating the intestinal microecology may contribute to reducing blood ammonia level after TIPS.

The integrated network image printing system can realize rapid transmission and printing for image data,and significantly enhance printing efficiency,which has been a main trend in future development of printing system.In addition,the integrated network image printing system can provide more precise and efficient solution for printing tasks that need process medical imaging,professional photographs or other high-quality images.This study strengthened the process technique on the basis of image denoising and contrast with wavelet transform,which improved the existing integrated network image printing system and tested the improved system.The result indicated that this system can effectively improve image quality.This study summarized the cases of maintaining failure in the application of this system,which target was to provide references for the application of the integrated network image printing systems.

Objective:To analyze the expression of heat shock protein 90α (HSP90α) in pancreatic cancer tissues and its potential diagnostic value for pancreatic cancer.Methods:A retrospective study was conducted on surgical specimens and clinical data from 99 patients with pancreatic cancer who were treated at Qingdao Municipal Hospital from January 2018 to May 2023, including 58 males and 41 females, with the age of (63.5±23.5) years. Among them, 44 patients (44.4%) were used for pathological examination and prognostic analysis, while 55 patients (55.6%) were tested for plasma HSP90α levels to evaluate its diagnostic efficacy for pancreatic cancer. Blood samples from 119 healthy individuals undergoing routine physical examinations at the same hospital during the same period were collected, including 74 males and 45 females, with the age of (50.5±25.5) years, and plasma HSP90α levels were measured. Immunohistochemistry (IHC) was performed to detect the expression of HSP90α in cancerous and adjacent non-cancerous tissues. Receiver operating characteristic (ROC) curve analysis was used to assess the diagnostic performance of HSP90α, carcinoembryonic antigen (CEA), carbohydrate antigen 19-9 (CA19-9), and carbohydrate antigen 125 (CA125) for pancreatic cancer. Survival analysis was conducted using the Kaplan-Meier method, and the log-rank test was used to compare survival rates. The correlation between HSP90α positive expression in cancer tissues and mutant p53 positive expression was analyzed using Spearman correlation analysis.Results:Immunohistochemical analysis showed that the positive expression rate of HSP90α in pancreatic cancer tissues was 81.8%(36/44), higher than that in adjacent non-cancerous tissues 13.6%(6/44)( χ2=19.82, P<0.01). HSP90α positive expression in pancreatic cancer tissues was positively correlated with mutant p53 positive expression (correlation coefficient was 0.57, P<0.001). The median plasma HSP90α level in the pancreatic cancer group ( n=55) was 83.30 (48.30, 212.00) μg/L, which was significantly higher than that in the normal control group ( n=119), with a median of 37.00 (29.20, 43.50) μg/L, showing a statistically significant difference ( Z=-7.34, P<0.001). The area under the ROC curve (AUC) for plasma HSP90α in diagnosing pancreatic cancer was 0.85 (95% CI: 0.77-0.92), with an optimal cutoff value of 53.52 μg/L, yielding a sensitivity of 69.1% (38/55) and a specificity of 98.3% (117/119). The AUC for HSP90α in diagnosing pancreatic cancer was higher than that of CEA, CA19-9, and CA125. In the immunohistochemical analysis of cancer tissues, the one-year cumulative survival rate of the HSP90α-negative group ( n=8) was 87.5%, which was significantly higher than that of the HSP90α-positive group ( n=36), which was 18.8%( χ2=12.74, P<0.001). Conclusions:HSP90α is highly expressed in pancreatic cancer tissues, which is positively correlated with mutant p53 positive expression. Patients with positive HSP90α expression have a poorer prognosis. HSP90α demonstrates good diagnostic performance for pancreatic cancer and holds potential for clinical application.