Objective To evaluate the influence of the wearing position of dosimeters outside lead aprons on effective dose estimation for interventional radiology workers, analyze the differences between single and double dosimeter methods in effective dose estimation, and provide a reference for the personal dose monitoring of interventional radiology workers. Methods This study employed a combined approach of on-site monitoring and Monte Carlo simulation to evaluate the impact of the wearing position of dosimeters outside lead aprons on effective dose estimation, as well as the differences between effective doses measured using single and double dosimeters. Interventional radiology workers wore dosimeters at three positions: the neck outside the lead collar, the left chest outside the lead apron, and inside the lead apron. Effective doses were estimated using the single and double dosimeter methods specified in GBZ 128-2019 Specifications for individual monitoring of occupational external exposure, and the impact of different wearing positions on the estimation results was compared. Geant4 Monte Carlo simulations were used to model dose distributions at the neck outside the lead collar and at the left chest outside the lead apron for operators performing cardiovascular interventions under tube voltages of 70, 80, 90, and 100 kVp and exposure angles of posteroanterior (PA), anteroposterior (AP), and left anterior oblique 45° (LAO45°) positions. The study assessed the impact of dosimeter wearing position on effective dose estimation. Results Monte Carlo simulations demonstrated that neck doses consistently exceeded left chest doses across different tube voltages and exposure angles, with neck-to-chest dose ratios of 0.80-0.90. Under identical tube voltage conditions, AP showed the highest doses, followed by LAO45°, and PA demonstrated the lowest doses. The single and double dosimeter methods exhibited consistent patterns in effective dose estimation. Single dosimeter method generally yielded higher effective doses with relative deviations of 9.9% to 83%, though these deviations decreased under high tube voltages. Field monitoring data indicated that most interventional radiology workers maintained relative deviations between single and double dosimeter calculations below 6%, with neck-to-chest dose ratios of 0.95-1.1. The estimation patterns remained consistent across both methods, though single dosimeter method showed slightly higher results. Conclusion Under PA, AP, or LAO45°, the doses at the neck consistently exceeded those at the left chest. Therefore, when wearing lead protective equipment, the dosimeter should be properly positioned at the neck outside the lead collar to accurately reflect the radiation doses of surgeons. Some interventional radiology workers improperly positioned the dosimeter (intended at the neck outside the lead collar) at the left chest outside the lead apron, and this may result in an underestimation of the effective dose.

Objective To evaluate the efficacy and safety of brexpiprazole in treating acute schizophrenia.Methods Patients with schizophrenia were randomly divided into treatment group and control group.The treatment group was given brexpiprozole 2-4 mg·d-1 orally and the control group was given aripiprazole 10-20 mg·d-1orally,both were treated for 6 weeks.Clinical efficacy of the two groups,the response rate at endpoint,the changes from baseline to endpoint of Positive and Negative Syndrome Scale(PANSS),Clinical Global Impression-Improvement(CGI-S),Personal and Social Performance scale(PSP),PANSS Positive syndrome subscale,PANSS negative syndrome subscale were compared.The incidence of treatment-related adverse events in two groups were compared.Results There were 184 patients in treatment group and 186 patients in control group.After treatment,the response rates of treatment group and control group were 79.50％(140 cases/184 cases)and 82.40％(150 cases/186 cases),the scores of CGI-I of treatment group and control group were(2.00±1.20)and(1.90±1.01),with no significant difference(all P＞0.05).From baseline to Week 6,the mean change of PANSS total score wese(-30.70±16.96)points in treatment group and(-32.20±17.00)points in control group,with no significant difference(P＞0.05).The changes of CGI-S scores in treatment group and control group were(-2.00±1.27)and(-1.90±1.22)points,PSP scores were(18.80±14.77)and(19.20±14.55)points,PANSS positive syndrome scores were(-10.30±5.93)and(-10.80±5.81)points,PANSS negative syndrome scores were(-6.80±5.98)and(-7.30±5.15)points,with no significant difference(P＞0.05).There was no significant difference in the incidence of treatment-related adverse events between the two group(69.00％vs.64.50％,P＞0.05).Conclusion The non-inferiority of Brexpiprazole to aripiprazole was established,with comparable efficacy and acceptability.

Objective To evaluate the application of three deep learning algorithms in automatic segmentation of clinical target volumes (CTVs) in high-dose-rate brachytherapy after surgery for endometrial carcinoma. Methods A dataset comprising computed tomography scans from 306 post-surgery patients with endometrial carcinoma was divided into three subsets: 246 cases for training, 30 cases for validation, and 30 cases for testing. Three deep convolutional neural network models, 3D U-Net, 3D Res U-Net, and V-Net, were compared for CTV segmentation. Several commonly used quantitative metrics were employed, i.e., Dice similarity coefficient, Hausdorff distance, 95th percentile of Hausdorff distance, and Intersection over Union. Results During the testing phase, CTV segmentation with 3D U-Net, 3D Res U-Net, and V-Net showed a mean Dice similarity coefficient of 0.90 ± 0.07, 0.95 ± 0.06, and 0.95 ± 0.06, a mean Hausdorff distance of 2.51 ± 1.70, 0.96 ± 1.01, and 0.98 ± 0.95 mm, a mean 95th percentile of Hausdorff distance of 1.33 ± 1.02, 0.65 ± 0.91, and 0.40 ± 0.72 mm, and a mean Intersection over Union of 0.85 ± 0.11, 0.91 ± 0.09, and 0.92 ± 0.09, respectively. Segmentation based on V-Net was similarly to that performed by experienced radiation oncologists. The CTV segmentation time was < 3.2 s, which could save the work time of clinicians. Conclusion V-Net is better than other models in CTV segmentation as indicated by quantitative metrics and clinician assessment. Additionally, the method is highly consistent with the ground truth, reducing inter-doctor variability and treatment time.

italic>Polygonum capitatum is a characteristic Miao medicine in Guizhou, commonly used in clinical practice to treat gastrointestinal and urinary tract infections. Research has found that it has good antibacterial and anti-inflammatory effects, and its main active ingredient is flavonoids. Lavonoid O-methyltransferase (FOMT) is a key enzyme for oxymethylation modification of flavonoid compounds. In order to understand the function and properties of FOMT protein in Polygonum capitatum, the transcriptome was sequenced by Illumina HiSeq 4000 high throughput sequencing technology. Then, the obtained transcripts were annotated and analyzed, and the whole genome of the FOMT gene family in Polygon capitalis was mined and identified. A total of 99 298 Unigenes were obtained, of which 71 514 were successfully annotated by the public database. In the genome of Polygonum capitatum, a total of 50 FOMT genes were identified. The phylogenetic tree showed that FOMT genes were divided into two subfamilies: caffeoyl CoA O-methyltransferase (CCoAOMT) and caffeic acid O-methyltransferase (COMT). Gene sequence analysis showed that the number of FOMT encoded amino acids ranged from 99 to 1 053 aa, the molecular weight ranged from 11 224.91 to 86 687.42 Da, and the isoelectric point ranged from 4.79 to 9.45. The 50 FOMT family members were hydrophobic proteins. Subcellular localization results showed that 54% of FOMT subfamily CCoAOMT and COMT members were located in cytoplasm and 28% were located in chloroplasts. The FOMT gene was tissue specific and highly expressed in the flowers of Polygonum capitatum, followed by the stems, and the least expressed in the roots. In this study, the FOMT gene family of Polygonum capitatum was identified and analyzed to provide theoretical basis for further study of FOMT function and biosynthesis of methylated flavonoids.

Formaldehyde is a prevalent organic solvent in industrial and indoor environment,which can seriously harm human health,so it is of great significance to develop highly sensitive formaldehyde sensors with fast response,low detection limit and long life.In this study,the NiO-In2O3 composite structure was prepared using indium-based metal organic framework(In-MOF)as the precursor,and the formaldehyde gas sensor was constructed with In2O3 and NiO-In2O3 composite structure as the sensitive material.The results demonstrated that the In2O3 material had a microflower-like structure,while the NiO-In2O3 composite structure was composed of NiO nanoparticles attached to the surface of In2O3.The sensor exhibited excellent detection performance for formaldehyde in the environment of relative humidity of 33%and 75%,especially the response characteristic of the NiO-In2O3 composite structure sensor to formaldehyde was considerably better than that of the In2O3 sensor under the same test conditions,which was closely related to the catalytic effect of NiO and the heterogeneous structure formed between NiO and In2O3.The NiO-In2O3 composite structure sensor had a response value of 21.3 and 12.6 to 10 μL/L formaldehyde when the relative humidity was 33%and 75%at 200℃.The response/recovery time was 4/6 s and 7/10 s,and the limit of detection(LOD)was 1.2×10-7 μL/L and 4.1×10-5 μL/L respectively.Meanwhile,the sensor had excellent selectivity and long-term stability.This sensor showed a wide application prospect in the field of high-performance detection of low concentration of formaldehyde gas.

Objective To achieve automatic segmentation of cell nuclei in gastrointestinal cancer pathological images by using a deep learning algorithm,so as to assist in the quantitative analysis of subsequent pathological images.Methods A total of 59 patients with gastrointestinal cancer treated in Ruijin Hospital,Shanghai Jiao Tong University School of Medicine from Jan 2022 to Feb 2022,were selected as the research objects.Python and LabelMe were used for data anonymization,image segmentation,and region of interest annotation of patients'pathological images.A total of 944 pathological images were included,and 9 703 nuclei were annotated.Then,a new semantic segmentation model based on deep learning was constructed.The model introduced deformable attention transformer(DAT)to realize automatic,accurate and efficient segmentation of pathological image nuclei.Finally,multiple segmentation evaluation criteria are used to evaluate the model's performance.Results The mean absolute error of the segmentation results of the model proposed in this paper was 0.112 6,and the dice coefficient(Dice)was 0.721 5.Its effect was significantly better than the U-net baseline model,and it was ahead of models such as ResU-net++,R2Unet and R2AttUnet.Moreover,the segmentation results were relatively stable with good generalization.Conclusion The segmentation model established in this study can accurately identify and segment the nuclei in the pathological images,with good robustness and generalization,which is helpful to play an auxiliary diagnostic role in practical applications.

Objective:To investigate the current situation of diet management in patients with colorectal cancer after stent-based diverting technique, and to provide basis for formulating relevant nursing intervention strategies.Methods:Objective sampling method was used to conduct semi-structured interviews on 15 patients who underwent stent-based diverting technique for colorectal cancer and had the bypass tube removed from Sir Run Run Shaw Hospital Affiliated to Medical College of Zhejiang University from March to July 2023. The interview outline was established based on information-motivation-behavioral skills(IMB) model, and the data were analyzed, summarized and extracted by Colaizzi 7-step analysis method.Results:There were 10 males and 5 females, aged 34-76 years old. According to the three elements of the IMB model, the current situation of diet management was summarized into nine themes. The information included the difficulty in obtaining effective diet guidance information, the lack of specific diet guidance content, the need for individualized diet information guidance mode, and the poor continuity of information exchange after discharge. The motivations included ignoring the importance of diet management, dislike the taste of oral nutritional preparations, and weak support from family members. Behavioral skills include inadequate tube care skills and lack of oral nutrition preparation skills.Conclusions:There are many problems in the diet management of patients after colorectal cancer stent-based diverting technique. Medical staff should optimize the diet education information of colorectal cancer patients after surgery, provide multi-level, multi-time and multi-form continuous care, mobilize the active participation of family members, improve the motivation of patients′ diet management, refine the nursing process of the bypass tube, strengthen the application guidance of oral nutrition preparation skills, and improve patients′ diet management ability.

Objective:To explore the effectiveness of modified objective structured clinical examination (OSCE) for evaluating the core competencies of new nurses on standardized training in neurosurgery.Methods:Thirty-seven new nurses on standardized training in neurosurgery were evaluated using a modified OSCE protocol that was focused on core competencies required for clinical nursing practice on the basis of a clinical case library, which consisted of diagnostic assessment upon entrance, process teaching evaluation during training, and outcome assessment upon exit, at five OSCE stations (nursing assessment, skill practice, clinical thinking, health education, and humanistic care). SPSS 26.0 was used to perform the t-test and rank sum test. Results:The nurses highly recognized the effectiveness of modified OSCE and were largely satisfied with teaching. There were significant differences at entrance and exit in terms of the mean OSCE score ( t=24.21, P<0.001), independent learning ability ( t=10.29, P<0.001), and the scores of core competencies—good personal traits ( Z=5.24, P<0.001), clinical nursing ability ( Z=5.07, P<0.001), support and interpersonal communication ability ( Z=5.12, P<0.001), critical clinical thinking ability ( Z=5.17, P<0.001), professional construction and self-development ( Z=5.05, P<0.001), and the total score ( Z=5.27, P<0.001). Conclusions:The modified OSCE can comprehensively evaluate the core competencies of new nurses in neurosurgery standardized training, with good feasibility and effectiveness, which provides a reference for teaching management of standardized training programs.

Objective:To explore the current situation of the intrinsic capacity of elderly people in the community and analyze its influencing factors.Methods:From September 2022 to March 2023, convenience sampling was used to select 360 elderly community residents from Xicheng District, Beijing, and Xingtai City, Hebei Province, as the research subjects. The subjects were surveyed using the Intrinsic Capacity Assessment Questionnaire, Intrinsic Capacity Influencing Factors Questionnaire, Barthel Index, and Lawton Instrumental Activities of Daily Living Scale.Results:A total of 360 questionnaires were distributed, and 360 valid questionnaires were collected, with an effective response rate of 100.0% (360/360). The overall impairment rate of intrinsic capacity among 360 elderly people in the community was 90.3% (325/360), and the impairment rates in various fields from high to low were sensation, psychology, vitality, cognition, and exercise. Multiple linear regression analysis showed that age, gender, residential pattern, education level, work status, grip strength, number of geriatric syndrome, self-rated health status, adverse life events, number of social activities, transportation conditions, and social security were the influencing factors of the intrinsic capacity of elderly people in the community, and the difference was statistically significant ( P<0.05) . Conclusions:The impairment rate of intrinsic capacity among elderly people in the community is relatively high. Grassroots medical and nursing staff should assess the intrinsic capacity of elderly people in the community in health promotion work, identify elderly people with decreased intrinsic capacity early and carry out effective interventions to prevent elderly people from becoming disabled and dependent on care.

Objective:To explore the genotypes and frequency distribution of thalassemia in Lingui District,Guilin City,and provide reference for the prevention and control of thalassemia in this area. Methods:The results of genetic testing for thalassemia in 1501 suspected cases at the Second Affiliated Hospital of Guilin Medical University were analyzed retrospectively. The deletional mutations of α-thalassemia were detected by gap-PCR,the non-deletional mutations of α-thalassemia and β-thalassemia mutations were detected by PCR-reverse dot blot (PCR-RDB). Results:In 1501 samples,a total of 678 cases of thalassemia carriers were detected,with a detection rate of 45.17％. Among them,379 cases were α-thalassemia (including deletional α-thalassemia and non-deletional α-thalassemia),with a detection rate of 25.25％,the most common genotype was--SEA/αα (227 cases,15.12％),followed by-α3.7/αα (53 cases,3.53％). 270 cases of β-thalassemia were detected,with a detction rate of 17.99％,and βCD41-42/βN (144 cases,9.59％) was the main genotypes,followed by βCD17/βN (66 cases,4.40％) . In addition,there were 29 cases of αβ compound thalassemia,accounting for 1.93％,and the most common genotype was--SEA/αα complex βCD41-42/βN (5 cases,0.33％). Conclusion:Lingui District in Guilin City is a high-incidence area of thalassemia,and the genotypes of carriers are complex and diverse,with genetic heterogeneity. The results of this study provide a scientific basis for genetic counseling and prenatal diagnosis in this area.