Objective The purpose of this study was to explore the application effect of BOPPPS combined with case simulation teaching method in nursing risk education of nursing students.By comparing the traditional teaching methods,the in-fluence of BOPPPS combined with case simulation teaching method on nursing students' occupational risk cognition ability,pa-tient safety perception ability and teaching satisfaction was evaluated.Methods 100 cases of nursing students in geriatric oncol-ogy department were divided into observation group and control group,50 cases in each group.The control group used traditional teaching methods;the observation group adopted the teaching mode of BOPPPS combined with case teaching method.The occu-pational risk cognition ability,patient safety perception ability and satisfaction with teaching mode were compared between the two groups.Results The occupational risk cognitive ability,patient safety perception ability and teaching satisfaction of the observa-tion group were better than those of the control group(P＜0.05).Conclusion The application of BOPPPS combined with case simulation teaching method in nursing risk teaching of nursing students can improve their occupational risk cognition ability,pa-tient safety perception ability and teaching satisfaction.

Objective To analyze the relationship between post-traumatic growth(PTG)and health-related quality of life(HRQOL)among long-term cancer survivors(time since diagnosis≥5 years)and to explore the trends and reasons for changes over time.Methods A total sampling method was used to conduct baseline and follow-up surveys on long-term cancer survivors from 6 cancer registries in Germany during 2008-2011 and 2018-2019.General information questionnaires,Post-Traumatic Growth Inventory,and European Organization for Research and Treatment of Cancer-Quality of Life Questionnaire were applied.The collected data were analyzed using a linear mixed-effects regression model for longitudinal relationships.Results A total of 2704 long-term cancer survivors completed the baseline and follow-up surveys and the effective sample size is 2 686.The high PTG group had a significantly higher overall health status/QOL score than the low PTG group,with a statistically significant difference(P＜0.05).However,the difference in scores between the 2 groups at follow-up was not statistically significant(P＞0.05).The interaction between PTG groups and time was statistically significant for overall health status and insomnia(all P＜0.05).There was a stable positive relationship between PTG and economic difficulty scores with a statistically significant difference(P＜0.001).Conclusion There is a positive correlation between PTG and HRQOL among long-term cancer survivors that weakens over time,and the perceived economic burden related to health is a continuous source of stress.

Artificial intelligence (AI) integrated with time-lapse (TL) imaging for embryo selection significantly minimizes subjectivity and workload in traditional methods, marking a pivotal advancement in the realm of assisted reproductive technology. This review comprehensively summarizes the representative studies conducted in recent years within these domains and delves into the application of AI combined with TL imaging for embryo selection from three perspectives: data selection, model selection, and model evaluation. While AI research has yet to fully achieve automated embryo selection, it has already commenced assisting embryologists in annotating and selecting embryos to a considerable extent, thereby reducing subjective discrepancies and easing the workload. Existing software for oocyte quality scoring, embryo ploidy prediction, and transfer outcome forecasting has exhibited promising performance in studies. However, there remains an ongoing need for the development of high-quality datasets and the conduct of prospective, multicenter studies with large sample sizes across diverse devices. The evolution of AI combined with TL imaging in the field of embryo selection merits heightened attention from both clinicians and embryologists.

Artificial intelligence (AI) integrated with time-lapse (TL) imaging for embryo selection significantly minimizes subjectivity and workload in traditional methods, marking a pivotal advancement in the realm of assisted reproductive technology. This review comprehensively summarizes the representative studies conducted in recent years within these domains and delves into the application of AI combined with TL imaging for embryo selection from three perspectives: data selection, model selection, and model evaluation. While AI research has yet to fully achieve automated embryo selection, it has already commenced assisting embryologists in annotating and selecting embryos to a considerable extent, thereby reducing subjective discrepancies and easing the workload. Existing software for oocyte quality scoring, embryo ploidy prediction, and transfer outcome forecasting has exhibited promising performance in studies. However, there remains an ongoing need for the development of high-quality datasets and the conduct of prospective, multicenter studies with large sample sizes across diverse devices. The evolution of AI combined with TL imaging in the field of embryo selection merits heightened attention from both clinicians and embryologists.

Objective To analyze the relationship between post-traumatic growth(PTG)and health-related quality of life(HRQOL)among long-term cancer survivors(time since diagnosis≥5 years)and to explore the trends and reasons for changes over time.Methods A total sampling method was used to conduct baseline and follow-up surveys on long-term cancer survivors from 6 cancer registries in Germany during 2008-2011 and 2018-2019.General information questionnaires,Post-Traumatic Growth Inventory,and European Organization for Research and Treatment of Cancer-Quality of Life Questionnaire were applied.The collected data were analyzed using a linear mixed-effects regression model for longitudinal relationships.Results A total of 2704 long-term cancer survivors completed the baseline and follow-up surveys and the effective sample size is 2 686.The high PTG group had a significantly higher overall health status/QOL score than the low PTG group,with a statistically significant difference(P＜0.05).However,the difference in scores between the 2 groups at follow-up was not statistically significant(P＞0.05).The interaction between PTG groups and time was statistically significant for overall health status and insomnia(all P＜0.05).There was a stable positive relationship between PTG and economic difficulty scores with a statistically significant difference(P＜0.001).Conclusion There is a positive correlation between PTG and HRQOL among long-term cancer survivors that weakens over time,and the perceived economic burden related to health is a continuous source of stress.

Objective The purpose of this study was to explore the application effect of BOPPPS combined with case simulation teaching method in nursing risk education of nursing students.By comparing the traditional teaching methods,the in-fluence of BOPPPS combined with case simulation teaching method on nursing students' occupational risk cognition ability,pa-tient safety perception ability and teaching satisfaction was evaluated.Methods 100 cases of nursing students in geriatric oncol-ogy department were divided into observation group and control group,50 cases in each group.The control group used traditional teaching methods;the observation group adopted the teaching mode of BOPPPS combined with case teaching method.The occu-pational risk cognition ability,patient safety perception ability and satisfaction with teaching mode were compared between the two groups.Results The occupational risk cognitive ability,patient safety perception ability and teaching satisfaction of the observa-tion group were better than those of the control group(P＜0.05).Conclusion The application of BOPPPS combined with case simulation teaching method in nursing risk teaching of nursing students can improve their occupational risk cognition ability,pa-tient safety perception ability and teaching satisfaction.

Promoting wound healing is a common clinical challenge faced by surgeons, with a variety of repair method and materials currently available for clinical use. In recent years, with the continuous development of disciplines such as tissue engineering, regenerative medicine, and materials science, research on wound repair materials has progressed rapidly. This article will organize the classification, advantages and disadvantages, and the latest advancements in the preparation processes of wound repair materials. It will also discuss the current challenges faced by wound repair materials and future research directions, with the aim of providing a reference for related studies in wound repair.

Objective To explore the clinical effect of reconstructing distal radioulnar ligament with al-lograft tendon under wrist arthroscopy in the treatment of chronic PalmerⅠD type triangular fibrocarti-lage complex injury complicated with distal radioulnar joint instability.Methods Clinical data of 15 pa-tients with chronic PalmerⅠD type triangular fibrocartilage complex injury and admitted to our hospital between January 2017 to January 2020 were retrospectively analyzed.All of them were treated with wrist arthroscopic allograft tendon reconstruction of distal radioulnar ligament.During the postoperative follow-up,the wrist range of motion and grip strength were evaluated,while the wrist pain and wrist function were assessed using the visual analogue scale(VAS)and modified Mayo score.Results All pa-tients were followed up twelve to twenty-four months,with an average of(18.15±2.20)months.The postoperative VAS score was(2.56±0.69),significantly better than the preoperative one(6.78±1.24)(P<0.05).Moreover,the postoperative ratio of grip strength between the affected and the healthy hand was(76.18±9.72)%,significantly better than that of(50.18±6.79)%(P<0.05),with increased grip strength.Meanwhile,the postoperative rotational motion of wrist joint[(151.09±12.38)°]improved significantly compared with that before operation[(142.87±10.19)°](P<0.05).According to the modi-fied Mayo score,8 cases were excellent,6 cases were good,and 1 case was fair,reaching an excel-lent and good rate of 93.33%.Conclusion Wrist arthroscopic reconstruction of distal radioulnar liga-ment with allograft tendon is effective in the treatment of chronic PalmerⅠD type triangular fibrocarti-lage complex injury with lower radioulnar joint instability,relieving pain and promoting grip strength and rotational motion.

Objective:To investigate the predictive value of differential distribution of peripheral lymphocyte subsets before and after the first 131I treatment on the therapeutic response to 131I treatment in patients with papillary thyroid cancer (PTC). Methods:A retrospective study was conducted on 46 PTC patients (16 males, 30 females, age 20-77 years) who underwent total thyroidectomy and received 131I treatment between January 2021 and August 2021 in First Hospital of Shanxi Medical University. Peripheral blood lymphocyte subsets (T, B, CD4 + T, CD8 + T, natural killer (NK), helper T (Th)1, Th2, Th17, and regulatory T (Treg) cells) were measured 1-2 d before and 30 d after 131I treatment. Based on serological and imaging evidence, therapeutic response at 6-12 months post- 131I therapy was categorized as either excellent response (ER) or non-excellent response (NER). Differences of preablative stimulated thyroglobulin (psTg) and clinical baseline characteristics between two groups were assessed by using independent-sample t test, paired t test, or Mann-Whitney U test. Predictive value of lymphocyte subsets before and after 131I treatment for therapeutic response was assessed through logistic regression analysis, ROC curve analysis, and decision curve analysis (DCA). Results:In ER group ( n=33) and NER group ( n=13), most lymphocyte subsets showed different degrees of reduction 30 d after 131I treatment compared to before 131I treatment, such as T, B, CD4 + T and Th1 cells in ER group, as well as T, B, CD4 + T, Th1, Th2, Th17, and Treg cells in NER group ( t values: 2.41-9.57, all P<0.05). Before 131I treatment, NER group had significantly higher levels of psTg, Th2, Th17, and Treg cells compared to the ER group ( t values: from -3.32 to -2.48, U=29.00, all P<0.05). After 131I treatment, most of lymphocyte subsets in NER group (T, B, CD4 + T, CD8 + T, Th1 and Treg cells) showed higher trend than those in ER group but without statistical significances ( t values: from -1.12 to -0.06, all P>0.05). Th2 cells before 131I treatment (odds ratio ( OR)=25.00, 95% CI: 1.36-459.10, P=0.030) was identified as a risk factor for NER. ROC curve analysis indicated that AUCs of psTg and Th2 cells for predicting therapeutic response were 0.932 and 0.790, respectively, which was 0.958 for the combined psTg and Th2 cells. DCA showed that within the threshold probability range of 10%-60%, the curves for psTg, Th2 cells, and the combined psTg and Th2 cells were all higher than the extreme curve, suggesting good effect. Conclusions:Most lymphocyte subsets decrease to varying degrees, and NER group shows a significant decrease 30 d after 131I treatment. Th2 cells may be a risk factor for poor response to 131I treatment, providing a certain value in predicting the therapeutic response to 131I treatment.

Objective Traditional Chinese medicine tongue diagnosis plays an important role in the clinical diagnosis and treatment of diseases,but the current research results are not applicable to the evaluation of clinical efficacy.This study conducted a hierarchical quantitative study on tongue color based on hyperspectral data of tongue images,making it suitable for clinical efficacy evaluation.Methods Establish inclusion and exclusion criteria,obtain tongue images of different spectral wavelengths within the visible light range of 400-1000 nm,and use traditional Chinese medicine clinical experts to distinguish between red tongue and yellow coating in four different color levels(mild,moderate,severe,and severe).Finally,establish a quantitative prediction model for the grade of red tongue and yellow coating based on machine learning models.Results There were significant differences in hyperspectral curve characteristics between red tongue and yellow coating with different color levels,which could be used as the basis for grade quantification.With the help of principal component analysis+random forest model,85.79%and 88.34%of the red tongue and yellow coating with different color levels could be predicted.Conclusion The use of hyperspectral image data features and machine learning models for predicting different color levels of tongue color has achieved good accuracy.