Objective To explore the efficiency improvement in segmenting neural network with the application of Transformer + U-Net artificial intelligence (AI) and modeling with the application of Python scripts in three-dimensional (3D) printing brachytherapy. Methods A Transformer + U-Net AI neural network model was constructed, and Adam optimizer was used to ensure rapid gradient descent. Computed tomography or magnetic resonance imaging data of patients were standardized and processed as self-made data sets. The training set was used to train AI and the optimal result weight parameters were saved. The test set was used to evaluate the AI ability. Python programming language was used to write an automated script to obtain the output segmentation image and convert it to the STL file for import. The source applicator and needle could be automatically modeled. The time of automatic segmentation and modeling and the time of manual segmentation and modeling were entered by two people, and the difference was verified by paired t-test. Results Dice similarity coefficient (DSC), mean intersection over union (MIOU), and Hausdorff distance (HD95) were used for evaluation. DSC was 0.9341, MIOU was 0.8762, and mean HD95 was 2.516. The mean time of manual segmentation was 1187 s, and the mean time of AI segmentation was 145 s (P < 0.01). The mean time of manual modeling was 321 s, and the mean time of modeling with Python automated scripts was 18 s (P < 0.01). Conclusion The application of Transformer + U-Net automatic segmentation and Python automated scripts can effectively improve work efficiency in the 3D printing brachytherapy for cervical cancer.

Background Injury poses a serious threat to human health. As global warming continues to intensify, there is an urgent need to explore the impact of temperature changes on injury deaths. However limited research has focused on this issue. Objective To investigate the relationship between daily mean temperature change (Tm) and injury death, as well as to estimate the associated future death burden in Hunan Province. Methods We employed an individual-level, time-stratified case-crossing design to establish a conditional logistic regression model to analyze the exposure-response relationship between daily mean temperature change and injury death in Hunan Province from 2013 to 2018. Consequently, we conducted subgroup analysis of gender, age group, and injury type. Finally, we estimated the excess burden of injury death attributable to temperature changes under a sustainable development path [low emission scenario (SSP1-2.6)], regional competition path [high emission scenario (SSP3-7.0)], or fossil fuel development path [very high emission scenario (SSP5-8.5)]. Results The study collected 155577 injury deaths in Hunan Province. The results indicated that for each 1 ℃ increment in daily mean temperature, the cumulative excess risk (CER) of injury mortality among Hunan residents increased by 0.71% (95%CI: 0.53%, 0.90%). Notably, the CER for intentional injuries (1.06%, 95%CI: 0.51%, 1.61%) was higher than that for unintentional injuries (0.66%, 95%CI: 0.46%, 0.87%). Warmer temperatures were positively associated with CER of mortality due to drowning, falls, transport injuries, assaults, and suicides, while they were negatively associated with mortality due to poisoning. Compared with 2010–2019, for 2090–2099, the excess mortality rate (EMR) due to ambient temperature increase in Hunan Province under the SSP5-8.5 scenario (14.62/100000, 95%CI: 10.81/100000, 18.40/100000) would be higher than that of the SSP3-7.0 scenario (10.28/100000, 95%CI: 7.58/100000, 12.97/100000) and the SSP1-2.6 scenario (3.35/100000, 95%CI: 2.46/100000, 4.23/100000); the EMR would be around 2.5 times among men (20.64/100000, 95%CI: 14.44/100000, 26.8/100000) than that among women (8.33/100000, 95%CI: 3.98/100000, 12.6/100000). Among unintentional injuries, the leading contributors to EMR would be drowning (4.46/100000), falls (3.96/100000), and transport injuries (2.96/100000). And among intentional injuries, the EMR for suicide (2.08/100000) would be higher than that for assault (0.47/100000). Conclusion Climate warming will increase the total burden of injury-related deaths among residents in Hunan Province, especially in the absence of effective mitigation strategies and measures. It is necessary to strengthen the prevention and control of severe injuries closely related to temperature changes, such as drowning, falls, traffic, and suicides injuries, in order to reduce injury deaths associated with climate change.

ObjectiveTo observe the clinical effect of Jieyu Qingxin formula granules combined with remote interactive cognitive behavioral therapy for insomnia （CBT-I） on chronic insomnia of liver depression and fire-turning type. MethodThis study was a prospective randomized controlled trial. 120 patients with chronic insomnia of liver depression and fire-turning type in Lu'an traditional Chinese medicine Hospital from January 2022 to June 2023 were selected as objects. They were randomly divided into two groups，with 60 cases in each group. The control group received remote interactive CBT-I. The observation group was treated with Jieyu Qingxin formula granules on the basis of the control group. Intervention treatment lasted for four weeks，and observation lasted for six weeks. Comparison of data of each group：clinical efficacy，changes in traditional Chinese medicine （TCM） syndrome score before and after treatment，changes in insomnia severity index （ISI） score，self-rating depression scale （SDS） and self-rating anxiety scale （SAS） score changes，total sleep time，wake time，sleep latency，sleep efficiency， Actigraphy sleep parameter value changes，serum neuron specific enolase （NSE） ，adenosine，dopamine （DA）， 5-hydroxytryptamine （5-HT） level changes，and adverse reactions. ResultThe total effective rate in the observation group （92.45%，49/53） was higher than that in the control group（76.92%，40/52）， and the difference was statistically significant（χ²=4.711 1，P<0.05）. After treatment，TCM syndrome score，ISI score，SAS score， and SDS score were decreased in all groups. The total sleep time was extended，and wake time and sleep latency were shortened. The sleep efficiency was increased，but the NSE and DA levels were decreased. Adenosine and 5-HT levels were increased in all groups（P<0.05）. After treatment，compared with the control group，the observation group had lower TCM syndrome score，ISI score，SAS score， and SDS score，longer total sleep time，higher sleep efficiency，shorter wake time and sleep latency，lower NSE and DA levels， and higher adenosine and 5-HT level （P<0.05）. There was one case of nausea in the observation group and no adverse reaction in the control group during treatment. There was no significant difference between the two groups. ConclusionBy reducing NSE and DA and increasing the levels of 5-HT and adenosine，the anxiety （SAS score） and depression （SDS score） of patients can be improved， so as to improve their sleep and effectively treat chronic insomnia of liver depression and fire-turning type.

Objective:To investigate the effect of serine/arginine-rich splicing factor 2 (SRSF2) on ferroptosis and its possible mechanism in glioblastoma cells.Methods:The online database of gene expression profiling interactive analysis 2 (GEPIA 2) and Chinese Glioma Genome Atlas were used to analyze the expression of SRSF2 in glioblastoma tissue and its association with patients prognosis. To validate the findings of the online databases, the pathological sections of glioblastoma and non-tumor brain tissues from Tianjin Medical University General Hospital, Tianjin, China were collected and analyzed by using immunohistochemistry. Silencing SRSF2 gene expression in glioblastoma cells by siRNA was analyzed with Western blot. The proliferation index was detected by using CCK8 assay. The rescued experiment was conducted by using expression plasmid of pcDNA3.1(+)-SRSF2. The activity of ferroptosis was assessed by using the levels of iron ions and malondialdehyde in glioblastoma cells and the changes in the ratio of glutathione to oxidized glutathione. The changes of gene expression and differential pre-mRNA alternative splicing (PMAS) induced by SRSF2 were monitored by using the third-generation sequencing technology analysis, namely Oxford nanopore technologies (ONT) sequencing analysis.Results:SRSF2 expression was higher in glioblastoma tissues than non-tumor brain tissues. Immunohistochemistry also showed a positive rate of 88.48%±4.60% in glioblastoma tissue which was much higher than the 9.97%±4.57% in non-tumor brain tissue. The expression of SRSF2 was inversely correlated with overall and disease-free disease survivals ( P<0.01). The proliferation index of glioblastoma cells was significantly reduced by silencing with SRSF2 siRNA ( P<0.01) and could be reversed with transfection of exogenous SRSF2. The levels of intracellulariron ions and malondialdehyde increased ( P<0.05), but the glutathione/oxidized glutathione ratio and the expression of key proteins in the glutathione pathway remained unchanged ( P>0.05). ONT sequencing results showed that silencing SRSF2 in glioblastoma cells could induce a significant alternative 3' splice site change on ferroptosis suppressor protein 1 (FSP1). Conclusion:SRSF2 inhibits the ferroptosis in glioblastoma cells and promotes their proliferation, which may be achieved by regulating FSP1 PMAS.

Objective: To examine the mediating effects of mindfulness level on resilience and symptoms of anxiety and depression among healthcare workers, so as to provide the reference for developing effective psychological intervention. Methods: The clinical doctors, nurses and public health professionals were selected using the stratified random cluster sampling method from hospitals, disease prevention and control centers, and health departments in five cities in Shandong Province, including Qingdao, Jinan, Rizhao, Jining and Liaocheng in January 2023. Basic information, mindfulness level, resilience and symptoms of anxiety and depression among healthcare workers were collected using general demographic questionnaires, the 5-item Mindful Attention Awareness Scale, 10-item Connor-Davidson Resilience Scale, Generalized Anxiety Disorder Scale and Patient Health Questionnaire, respectively. The Process program was used to analyze the mediating effects of mindfulness level on resilience and symptoms of anxiety and depression. Results: A total of 1 836 healthcare workers were investigated, including 472 males (25.71%) and 1 364 females (74.29%), and the median age was 39 (interquartile range, 12) years. There were 629 clinical doctors (34.26%), 963 nurses (52.45%) and 244 public health professionals (13.29%). The median scores of mindfulness level and resilience were 22 (interquartile range, 7) and 20 (interquartile range, 4) points, respectively. The detection rates of anxiety and depression symptoms were 49.78% and 72.28%, respectively. The mediation analysis showed that mindfulness level exerted a partial mediating effect between resilience and anxiety symptoms (β=-0.510, P<0.001), with a direct effect value of -0.130 and a mediating effect value of -0.046, and the mediating effect accounted for 26.14% of the total effect; mindfulness level also exerted a partial mediating effect between resilience and depression symptoms (β=-0.575, P<0.001), with a direct effect value of -0.120 and a mediating effect value of -0.052, and the mediating effect accounted for 30.23% of the total effect. Conclusion Mindfulness level plays a mediating effect between resilience and symptoms of anxiety and depression among healthcare workers.

Objective:To investigate the pathway of self-disclosure to posttraumatic growth in patients after cervical cancer surgery, and to provide reference for improving the level of posttraumatic growth in patients.Methods:A convenient sampling method was used to investigate 300 patients with cervical cancer after surgery in Shandong Provincial Hospital Affiliated to Shandong First Medical University from June to November 2022 by using general data questionnaire, Distress Disclosure Index (DDI), Connor-Davidson Resilience Scale (CD-RISC), the Shortened Chinese Version of the Family Resilience Assessment Scale (FRAS-C) and the Posttraumatic Growth Inventory (PTGI) in a cross-section study.Results:A total of 290 valid questionnaires were collected, with an effective recovery rate of 96.7%. The patients were aged 23-70(48.13 ± 10.39) years. The scores of self-disclosure, resilience, family resilience and posttraumatic growth were (46.41 ± 9.82), (67.06 ± 14.63), (108.18 ± 11.06) and (58.24 ± 17.86) respectively. The results of pathway analysis showed that self-disclosure could not only directly predict posttraumatic growth, but also indirectly predict posttraumatic growth through the mediating role of resilience and family resilience, and the chain mediating role of resilience and family resilience, respectively. The direct effect of self-disclosure on posttraumatic growth was 0.236(95% CI 0.138-0.335), and the chain mediating effect of family resilience and resilience between self-disclosure and posttraumatic growth was 0.036(95% CI 0.018-0.060). Conclusions:Medical staff should not only consider the direct influence of self-disclosure on posttraumatic growth, but also pay attention to improve the resilience and family flexibility of patients after cervical cancer surgery, so as to promote their posttraumatic growth.

Objective To improve the CT image quality of the anorectal junction in venous phase using a new deep learning image reconstruction(DLIR)algorithm.Methods A retrospective analysis was conducted on 71 patients undergoing pelvic computed tomography(CT)scans.All CT images were reconstructed at a thin slice thickness of 0.625 mm using 50%ASiR-V,low-,medium-and high-intensity DLIR(DLIR-L,DLIR-M and DLIR-H).The CT attenuations and standard deviation values of anal canal and hip fat were measured for each reconstruction group.With the standard deviation of hip fat as background noise,the contrast-to-noise ratio(CNR)and signal-to-noise ratio(SNR)of anal canal were calculated.Two radiologists independently assessed image quality and diagnostic confidence for local invasion of rectal cancer using the 5-point Likert scale.The objective measurement indicators and subjective scores were analyzed and compared,and Kappa test was used to evaluate the consistency.Results The differences in CT value of anal canal and hip fat among the groups were trivial(P>0.05),but fat SD,anal canal SNR and CNR(P<0.05)differed significantly,with lowest fat SD,highest anal canal SNR and CNR in DLIR-H group,while highest fat SD,lowest anal canal SNR and CNR in 50%ASiR-V group.Compared with 50%ASiR-V group,DLIR-H group decreased fat SD by 44.3%,but increased anal canal SNR and CNR by 89.5%and 92.1%,respectively(P<0.05).The subjective score of 4 groups were significantly different(P<0.05),decreasing from DLIR-H to 50%ASiR-V,and the inter-group differences were significant(P<0.05),except the difference between 50%ASiR-V group and DLIR-L group(P>0.05).There was a statistically significant difference in the diagnostic confidence for local invasion of rectal cancer among different groups(P<0.05),and the scores were significantly higher in DLIR-M and DLIR-H groups than in 50%ASiR-V and DLIR-L groups(P<0.05).Conclusion Compared with the standard 50%ASiR-V image,DLIR-M and DLIR-H reconstruction algorithms can effectively improve the image quality for the anorectal junction in CT imaging.The higher-intensity DLIR results in better image quality and stronger ability to display fine structures,which can provide more evidences for clinical precision evaluation and personalized precision treatment.

Objective To investigate the expression and prognostic significance of serum protease C1 inhib-itor(SERPING1)and plasminogen activator inhibitor type 1(SERPINE1)in patients with sepsis.Methods A total of 132 patients with sepsis treated in the hospital from March 2018 to March 2020 were se-lected as the sepsis group.According to whether they died within 28 days of admission,they were divided into a death group(n=34)and a survival group(n=98).Enzyme linked immunosorbent assay was used to detect the expression of serum SERPING1 and SERPINE1.Multivariate Logistic regression model and receiver oper-ating characteristic curve were used to study the value of serum SERPING1 and serpine1 in evaluating the prognosis of patients'death.Results[Compared with the control group,serum SERPING1(331.12±51.80 ng/L vs.639.04±91.12 ng/L)was lower and serum serpine1(412.67±64.84 ng/L vs.42.33±10.32 ng/L)was higher in the sepsis group,and the differences were statistically significant(P＜0.05).[Compared to the survival group,the levels of serum SERPINE1,procalcitonin,C-reactive protein,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score and Sequential Organ Failure Assessment(SOFA)score in the death group were higher,while serum SERPING1 was lower,and the differences were statistically significant(all P＜0.05).Serum SERPING1 showed negative correlation with APACHE Ⅱ and SOFA scores(r=-0.779,-0.653,P＜0.05),while serum SERPINE1 showed positive correlation with APACHE Ⅱ and SO-FA scores(r=0.740,0.685,P＜0.05).APACHE Ⅱ score,SOFA score,and serum SERPINE1 were risk fac-tors affecting the prognosis of sepsis patients,while serum SERPING1 was a protective factor.The area under the curve of serum SERPING1 and SERPINE1 combined for the evaluation of the death in sepsis patients was 0.938(95％CI:0.893-0.968),which was significantly higher than 0.860(95％CI:0.812-0.899)and 0.838(95％CI:0.781-0.868)of the single detection,and the differences were statistically significant(Z=3.861,4.015,P＜0.001).Conclusion The elevated levels of serum SERPING1 and SERPINE1 in patients with sepsis are related to the severity of the patient's condition.The combination of the two has high prognos-tic value for sepsis patients.

Objective:To explore the clinical and molecular basis for a Chinese pedigree affected with Complete androgen insensitivity syndrome (CAIS).Methods:A CAIS pedigree presented at Tianjin Medical University General Hospital between 2019 and 2021 was selected as the study subject. Clinical data of the proband was collected, along with peripheral blood samples from the proband and her family members. Chromosomal karyotyping, sex-determining region of the Y chromosome ( SRY) testing, and next-generation sequencing (NGS) were carried out for the proband, and candidate variant was verified by Sanger sequencing of her family members. Prenatal diagnosis was provided for the sister of the proband. This study was approved by Medical Ethics Committee of the Tianjin Medical University General Hospital (Ethics No. IRB2023-WZ-070). Results:The 18-year-old proband, who has a social gender of female, underwent laparoscopic examination, which showed no presence of uterus and ovaries. The karyotype of peripheral blood sample was 46, XY, with SRY gene detected. NGS indicated that the proband has harbored a heterozygous c. 1988C>G (p.Ser663Ter) variant of the AR gene. Sanger sequencing confirmed that her mother and sister had both harbored the same variant, whilst her father and younger sister were of the wild-type. Prenatal diagnosis revealed that her sister′s first fetus had harbored carried the same variant, which had led to termination of pregnancy. Her second fetus did not carry the variant, and a healthy boy was born. Based on guidelines from the American College of Medical Genetics and Genomics (ACMG), the variant was classified as likely pathogenic (PM2_Supporting+ PM4+ PP3_Moderate+ PP4). Conclusion:The c. 1988C>G (p.Ser663Ter) variant of the AR gene probably underlay the CAIS in the proband. The accurate diagnosis of sex development disorders will rely on the physicians′ thorough understanding of the clinical symptoms and pathogenic genes. Genetic testing and counseling can enable precise diagnosis, prenatal diagnosis, and guidance for reproduction

Artificial intelligence technology encompasses a broad intersection of disciplines including informatics,biolo-gy,and logic,and its application in the healthcare field has garnered significant attention in recent years.Electronic medical re-cords(EMRs)contain vast amounts of medical data with potentially immeasurable medical value.Utilizing artificial intelligence technology to mine this potential value can assist clinicians in decision-making,improve diagnostic and treatment efficiency,and enhance service quality,which is of great significance for the development of the healthcare sector.This paper introduces the ap-plication of artificial intelligence technology in data mining of electronic medical records and quality control of medical record con-tent.It also discusses the existing limitations and challenges,while providing insights into future developments.