Objective:To construct a classification management model on the basis of Kraljic matrix for electrocardiogram(ECG)monitoring equipment in emergency intensive care unit(ICU),so as to explore its application value in the management for ECG monitoring equipment in emergency ICU.Methods:The classification management model on the basis of index for ECG monitoring equipment in emergency ICU was constructed.According to two classification dimensions included the market supply risk and the self-value,an indicator system of classification management,which aimed at strategic materials with high value and high risk,leverage materials with high value and low risk,bottleneck materials with low value and high risk,and conventional materials with low value and low risk,was constructed.A total of fifty-one ECG monitoring equipment in the emergency ICU of The People's Hospital of Longhua of Shenzhen from January to December 2023 were selected,and they were managed respectively by conventional management mode(25 sets)and classification management mode(26 sets)according to different management modes.The standardization level of operation management for equipment,the occurrence of safety risk and the level of management for equipment of the two management modes were compared,and the satisfaction of 30 relative personnel,who used and managed these equipment,for classification management of equipment also were compared.Results:The average values of the percentage of standardization level of normality of equipment operation,disinfection and sterilization,maintenance and fault repair of using classification management mode were respectively(91.58±4.33)%,(92.1±3.28)%,(91.49±3.54)%and(92.58±3.32)%,all of which were higher than those of conventional management mode,and the differences were statistically significant(t=12.537,15.706,14.196,18.946,P<0.05),repsectively.The average incidences of the risk of pressure injury,electrical injury and body fluid extravasation of adopting classification management mode were respectively(2.54±0.87)%,(3.02±0.82)%and(1.29±0.65)%,all of which were lower than those of adopting conventional management mode,and the differences were statistically significant(t=22.825,17.453,24.424,P<0.05),respectively.The satisfaction scores of 30 relative management personnel,who used equipment on the process rationality,system standardization and quality effectiveness,of adopting classification management mode were respectively(94.26±3.54),(92.57±4.36)and(91.87±3.69),all of which were higher than those of conventional management mode,and the differences were statistically significant(t=14.052,13.991,13.551,P<0.05),respectively.The reasonable placement rate,recording rate of standardization,and intact rate of equipment in the 26 equipment by adopting classification management mode were respectively 92.31%,92.31%and 88.46%,all of which were significantly higher than those by adopting conventional management mode,and the differences were statistical significant(x2=12.052,10.398,11.338,P<0.05).Conclusion:The classification management model of ECG monitoring equipment in emergency ICU can increase the management efficiency for the equipment in operating room of hospital,and improve the operation quality of equipment,and enhance the safety of equipment in clinical use,and the standardization of operation management for equipment.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To investigate the mid-term efficacy of Pulsar-18 stent in the treatment of spontaneous isolated superior mesen-teric artery dissection(SIDSMA)through a retrospective analysis.Methods:A retrospective analysis was performed for the data of pa-tients with SIDSMA who received treatment with Pulsar-18 stent from April 2019 to March 2021.Basic information was collected,such as sex,age,underlying disease,and radiological features,and the patients were observed in terms of the improvement in clinical symp-toms,stent patency rate,and vascular remodeling during follow-up.Results:A total of 45 patients were included in this study,with 41 male patients and 4 female patients.The patients had an age of 45-72 years,and the patients with hypertension accounted for 48.89%(22/45).The surgical success rate was 100%.A total of 63 stents were placed for the 45 patients,with a stent diameter ranging from 5 mm to 7 mm.There were no perioperative complications such as acute thrombosis of the stent,and the probability of hematoma at the puncture point was 0%.The stent patency rate was 100%at 3 months,6 months,1 year,and 2 years after stent placement,and the com-plete vascular remodeling rate was 64.4%,82.2%,82.2%,and 86.7%,respectively.One patient developed bloody stool at 5 months af-ter surgery and was diagnosed with duodenal ulcer,and the patient fully recovered after endoscopic hemostasis.The other patients had no recurrent abdominal pain,new-onset aneurysms,or enlargement of the false lumen within 2 years.Conclusion:Pulsar-18 stent placement is an effective treatment method for SIDSMA and can provide a high rate of complete vascular remodeling,with a high pa-tency rate during mid-term follow-up.

Recent studies have shown that shorter periods of ejaculatory abstinence may enhance certain sperm parameters, but the molecular mechanisms underlying these improvements are still unclear. This study explored whether reduced abstinence periods could improve semen quality, particularly for use in assisted reproductive technologies (ART). We analyzed semen samples from men with normal sperm counts ( n = 101) and those with low sperm motility or concentration ( n = 53) after 3-7 days of abstinence and then after 1-3 h of abstinence, obtained from the Reproductive & Genetic Hospital of CITIC-Xiangya (Changsha, China). Physiological and biochemical sperm parameters were evaluated, and the dynamics of transfer RNA (tRNA)-derived fragments (tRFs) were analyzed using deep RNA sequencing in five consecutive samples from men with normal sperm counts. Our results revealed significant improvement in sperm motility and a decrease in the DNA fragmentation index after the 1- to 3-h abstinence period. Additionally, we identified 245 differentially expressed tRFs, and the mitogen-activated protein kinase (MAPK) signaling pathway was the most enriched. Further investigations showed significant changes in tRF-Lys-TTT and its target gene mitogen-activated protein kinase kinase 2 ( MAP2K2 ), which indicates a role of tRFs in improving sperm function. These findings provide new insights into how shorter abstinence periods influence sperm quality and suggest that tRFs may serve as biomarkers for male fertility. This research highlights the potential for optimizing ART protocols and improving reproductive outcomes through molecular approaches that target sperm function.
Male ; Humans ; Spermatozoa/metabolism* ; RNA, Transfer/genetics* ; Sperm Motility/genetics* ; Adult ; Semen Analysis ; Sexual Abstinence/physiology* ; Sperm Count ; DNA Fragmentation

Objective To investigate the relationship between the expression of platelet autophagy related factors and peritoneal metastasis of gastric cancer.Methods The data of 360 patients with gastric cancer who underwent surgery in Hunan Provincial People's Hospital from January 2021 to May 2023 were reviewed.Patients were divided into non-peritoneal metastasis group(n=322)and peritoneal metastasis group(n=38)according to whether peritoneal metastasis occurred or not.The following information was collected:patient's personal information(i.e.age,sex,body mass index)and tumor characteristics(i.e.location,size,pathological type,histopathological differentiation,lymphatic infiltration).Platelets were collected from all subjects,and the levels of autophagy-associated protein 7(ATG7),benzalkonium chloride 1(BECN1),microtubule-associated protein 1 light chain 3(LC3)and sequestosome 1(p62)were measured by enzyme-linked immunosorbent assay(ELISA).Results Among the 360 patients included,peritoneal metastasis was detected in 38 cases.Compared with the non-peritoneal metastasis group,the peritoneal metastasis group exhibited decreased BMI(P<0.05),while the tumor size,non-ulcerative tumor,number of lymph node metastasis,infiltration depth,number of cases of lymphatic invasion,platelet count,platelet LC3-Ⅱ level,platelet ATG7 level and CEA level were increased(P<0.05).Multivariate logistic regression analysis showed that BMI(OR=1.094),lymphatic invasion(OR=2.658),and LC3-Ⅱ(OR=3.793)and ATG7(OR=2.010)were independent influencing factors for peritoneal metastasis in patients with gastric cancer(P<0.05).LC3-Ⅱ>2.59ng/ml had the highest ability to predict peritoneal metastasis in patients with gastric cancer(AUC=0.932),followed by ATG7(AUC=0.916).Conclusions Elevated levels of platelet LC3-Ⅱ and ATG7 are independently related to peritoneal metastasis in patients with gastric cancer,and can be used to predict the occurrence of peritoneal metastasis,which is helpful to guide individualized treatment.

Objective To explore the role of ferroptosis in DIC through bioinformatics analysis of hub genes involved in ferroptosis in doxorubicin-induced cardiomyopathy(DIC),combined with in vitro experimental validation.Methods Divalent iron fluorescence staining confirms the occurrence of ferroptosis in myocardial cells of DIC.The GSE207737 dataset was retrieved from the Gene Expression Comprehensive Database(GEO)and intersected with the FerrDb database to identify ferroptosis-related genes.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses of the intersected genes and intersecting the genes obtained from LASSO regression analysis and SVM-SFR machine learning methods were used to obtain ferroptosis hub genes for DIC.Real-time PCR was used to validate H9C2 cells in the control and DIC model groups,and Western blotting was used to further validate those whose bioinformatics and real-time PCR results that did not match.Results Thirty-eight ferroptosis-related genes in DIC were identified,and GO and KEGG analyses showed that these genes mainly participate in cell metabolism.Five hub genes for ferroptosis in DIC were obtained using machine learning methods:Mpc1,Prdx1,Kdm4a,Alox 12b,and Tfrc.Through in vitro experiments,the mRNA expression levels of Mpc1,Prdx1,and Kdm4a were downregulated in the DIC model group compared to those in the control group(P＜0.001),whereas the mRNA expression level of Alox12b was upregulated(P＜0.001).There were no significant differences in the mRNA or protein expression levels of Tfrc(P＞0.05).Conclusion Mpc1,Prdx1,Kdm4a,and Alox12b are key genes involved in ferroptosis in doxorubicin-induced cardiomyopathy and potential targets for the prevention and treatment of doxorubicin-induced cardiomyopathy in ferroptosis.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To construct a classification management model on the basis of Kraljic matrix for electrocardiogram(ECG)monitoring equipment in emergency intensive care unit(ICU),so as to explore its application value in the management for ECG monitoring equipment in emergency ICU.Methods:The classification management model on the basis of index for ECG monitoring equipment in emergency ICU was constructed.According to two classification dimensions included the market supply risk and the self-value,an indicator system of classification management,which aimed at strategic materials with high value and high risk,leverage materials with high value and low risk,bottleneck materials with low value and high risk,and conventional materials with low value and low risk,was constructed.A total of fifty-one ECG monitoring equipment in the emergency ICU of The People's Hospital of Longhua of Shenzhen from January to December 2023 were selected,and they were managed respectively by conventional management mode(25 sets)and classification management mode(26 sets)according to different management modes.The standardization level of operation management for equipment,the occurrence of safety risk and the level of management for equipment of the two management modes were compared,and the satisfaction of 30 relative personnel,who used and managed these equipment,for classification management of equipment also were compared.Results:The average values of the percentage of standardization level of normality of equipment operation,disinfection and sterilization,maintenance and fault repair of using classification management mode were respectively(91.58±4.33)%,(92.1±3.28)%,(91.49±3.54)%and(92.58±3.32)%,all of which were higher than those of conventional management mode,and the differences were statistically significant(t=12.537,15.706,14.196,18.946,P<0.05),repsectively.The average incidences of the risk of pressure injury,electrical injury and body fluid extravasation of adopting classification management mode were respectively(2.54±0.87)%,(3.02±0.82)%and(1.29±0.65)%,all of which were lower than those of adopting conventional management mode,and the differences were statistically significant(t=22.825,17.453,24.424,P<0.05),respectively.The satisfaction scores of 30 relative management personnel,who used equipment on the process rationality,system standardization and quality effectiveness,of adopting classification management mode were respectively(94.26±3.54),(92.57±4.36)and(91.87±3.69),all of which were higher than those of conventional management mode,and the differences were statistically significant(t=14.052,13.991,13.551,P<0.05),respectively.The reasonable placement rate,recording rate of standardization,and intact rate of equipment in the 26 equipment by adopting classification management mode were respectively 92.31%,92.31%and 88.46%,all of which were significantly higher than those by adopting conventional management mode,and the differences were statistical significant(x2=12.052,10.398,11.338,P<0.05).Conclusion:The classification management model of ECG monitoring equipment in emergency ICU can increase the management efficiency for the equipment in operating room of hospital,and improve the operation quality of equipment,and enhance the safety of equipment in clinical use,and the standardization of operation management for equipment.

Objective To explore the role of ferroptosis in DIC through bioinformatics analysis of hub genes involved in ferroptosis in doxorubicin-induced cardiomyopathy(DIC),combined with in vitro experimental validation.Methods Divalent iron fluorescence staining confirms the occurrence of ferroptosis in myocardial cells of DIC.The GSE207737 dataset was retrieved from the Gene Expression Comprehensive Database(GEO)and intersected with the FerrDb database to identify ferroptosis-related genes.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses of the intersected genes and intersecting the genes obtained from LASSO regression analysis and SVM-SFR machine learning methods were used to obtain ferroptosis hub genes for DIC.Real-time PCR was used to validate H9C2 cells in the control and DIC model groups,and Western blotting was used to further validate those whose bioinformatics and real-time PCR results that did not match.Results Thirty-eight ferroptosis-related genes in DIC were identified,and GO and KEGG analyses showed that these genes mainly participate in cell metabolism.Five hub genes for ferroptosis in DIC were obtained using machine learning methods:Mpc1,Prdx1,Kdm4a,Alox 12b,and Tfrc.Through in vitro experiments,the mRNA expression levels of Mpc1,Prdx1,and Kdm4a were downregulated in the DIC model group compared to those in the control group(P＜0.001),whereas the mRNA expression level of Alox12b was upregulated(P＜0.001).There were no significant differences in the mRNA or protein expression levels of Tfrc(P＞0.05).Conclusion Mpc1,Prdx1,Kdm4a,and Alox12b are key genes involved in ferroptosis in doxorubicin-induced cardiomyopathy and potential targets for the prevention and treatment of doxorubicin-induced cardiomyopathy in ferroptosis.

【Objective】 To analyze the association of sexual development characteristics and phases with the cognitive and behavioral development of adolescents aged 10 to 14 in rural areas of Shaanxi Province, in order to provide scientific reference for enhancing adolescent health. 【Methods】 The study population was selected from a birth cohort study′s follow-up data for the adolescent phase. The Tanner quintile method was used to assess sexual development, the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-Ⅳ) was used to assess cognitive development, and the Youth Self-Rating Scale(YSR-2001) was used to assess behavioral development. Generalized linear models was used to examine the association of the stages of adolescent sexual development with their cognitive and behavioral development. 【Results】 A total of 1 887 adolescents were enrolled in this study, with 1 111 (58.9%) boys. The proportion of boys and girls who have started sexual development was 78.22% and 89.30%, respectively. The detection rate of behavioral problems in adolescents was 9.70%, with 11.80% in boys and 6.70% in girls, and the gender difference was significant (χ²=13.517, P<0.001). Compared to adolescents in Tanner stage Ⅰ, adolescents in stage Ⅲ had a higher total cognitive score of 2.19 (95%CI: 0.15 - 4.23), and a higher total score of 3.84 (95%CI: 0.85 - 6.83,P<0.05) in stages Ⅳ-Ⅴ. The detection rate of total behavioral problems of children in Tanner stages Ⅳ-Ⅴ was 2.63 times (95%CI:1.27 - 5.46,P<0.05) higher than that in stage Ⅰ. In boys, the rate of detection of internalizing problems was 3.96 times(95%CI:1.60 - 9.81,P<0.01) higher than that in stage Ⅰ, and the detection rate of internalizing problems was 2.88 times(95%CI:1.19 - 7.01,P<0.05) higher than that in stage Ⅰ. 【Conclusions】 There is a significant correlation of sexual developmental phrase with cognitive and behavioral development among adolescents aged 10 - 14 years in rural Shaanxi Province. The detection rate of adolescent behavioral problems increases with the increase of sexual development level and cognitive level, and there are significant gender differences.