Objective:To propose a semi-supervised learning method for dynamic generation of organ geometric contours, leveraging bladder volume variations and its relative position to the uterus to accurately generate uterine contours in cervical cancer radiotherapy.Methods:A total of 120 sets of pelvic planning CT images (including both full and empty bladder scans) from 60 patients with cervical cancer treated at the Department of Radiation Oncology, Nanfang Hospital of Southern Medical University between January and December 2023 were retrospectively collected. A conditional generative adversarial network (CGAN) based on a squeeze-and-excitation channel attention mechanism was proposed to accurately generate uterine geometric contours under varying bladder filling states. By emphasizing the critical spatial relationships between the bladder and uterus, the model learned the relative anatomical positions of pelvic organs and their motion correlations. The generative performance was quantitatively evaluated using the average Dice similarity coefficient (DSC), intersection over union (IoU), and the 95 th percentile Hausdorff distance (HD95), and was compared with GAN model, CGAN model, and Pix2Pix model. Pairwise comparisons were perfomed by paired-sample t-test. Results:The proposed SE-CGAN model achieved the best performance on the test set, with DSC of 0.83±0.09, IoU of 0.71±0.05, HD95 of (6.74±1.23) mm, improving DSC by 7.5%, 4.9%, and 3.6% compared to the GAN, CGAN, and Pix2Pix models, respectively (all P<0.001), and reducing the mean HD95 by 32.9%-45.3%. Statistical analysis revealed significant differences between SE-CGAN model and the other 3 baseline models, whereas no significant difference was observed between CGAN model and Pix2Pix model. The visualization results further demonstrated that the GAN model produced uterine contours deviated greatly from the real shape, and the edge was fuzzy; CGAN and Pix2Pix model achieved better overlap but lacked of precision in boundary reconstruction. In contrast, the contours generated by SE-CGAN model closely matched the ground truth with clearly defined edges, indicating superior reconstruction accuracy. Conclusions:In this study, we propose a generative adversarial network method that establishes a dynamic modulation mechanism by which the bladder state influences the uterine geometric contour, enabling accurate generation of the uterine contours from the bladder contours of any given localization CT scan. This approach effectively addresses the uncertainty in radiotherapy target delineation caused by pelvic organ motion.

Objective:To propose a semi-supervised learning method for dynamic generation of organ geometric contours, leveraging bladder volume variations and its relative position to the uterus to accurately generate uterine contours in cervical cancer radiotherapy.Methods:A total of 120 sets of pelvic planning CT images (including both full and empty bladder scans) from 60 patients with cervical cancer treated at the Department of Radiation Oncology, Nanfang Hospital of Southern Medical University between January and December 2023 were retrospectively collected. A conditional generative adversarial network (CGAN) based on a squeeze-and-excitation channel attention mechanism was proposed to accurately generate uterine geometric contours under varying bladder filling states. By emphasizing the critical spatial relationships between the bladder and uterus, the model learned the relative anatomical positions of pelvic organs and their motion correlations. The generative performance was quantitatively evaluated using the average Dice similarity coefficient (DSC), intersection over union (IoU), and the 95 th percentile Hausdorff distance (HD95), and was compared with GAN model, CGAN model, and Pix2Pix model. Pairwise comparisons were perfomed by paired-sample t-test. Results:The proposed SE-CGAN model achieved the best performance on the test set, with DSC of 0.83±0.09, IoU of 0.71±0.05, HD95 of (6.74±1.23) mm, improving DSC by 7.5%, 4.9%, and 3.6% compared to the GAN, CGAN, and Pix2Pix models, respectively (all P<0.001), and reducing the mean HD95 by 32.9%-45.3%. Statistical analysis revealed significant differences between SE-CGAN model and the other 3 baseline models, whereas no significant difference was observed between CGAN model and Pix2Pix model. The visualization results further demonstrated that the GAN model produced uterine contours deviated greatly from the real shape, and the edge was fuzzy; CGAN and Pix2Pix model achieved better overlap but lacked of precision in boundary reconstruction. In contrast, the contours generated by SE-CGAN model closely matched the ground truth with clearly defined edges, indicating superior reconstruction accuracy. Conclusions:In this study, we propose a generative adversarial network method that establishes a dynamic modulation mechanism by which the bladder state influences the uterine geometric contour, enabling accurate generation of the uterine contours from the bladder contours of any given localization CT scan. This approach effectively addresses the uncertainty in radiotherapy target delineation caused by pelvic organ motion.

The purpose of this paper is to review the research on the influence and mechanism of intolerance of uncertainty （IU） on anxiety both at home and abroad in recent years. IU refers to the individual's disgust response due to the intolerance of perceived lack of prominent， critical or sufficient information， and it has individual tendency. IU plays an important role in the occurrence and development of anxiety， but the specific process and mechanism remain unclear. This paper reviews the influence of IU on anxiety， and clarifies its mechanism of action on the generation and development of anxiety from the perspectives of cognition， emotion and behavior， so as to provide references for preventing the development of general anxiety into anxiety disorders and developing new psychological intervention and treatment strategies.

Background: Domestic yaks are the most important livestock species on the Qinghai-Tibetan Plateau. Adult female yaks normally breed in the warm season (July to September) and enter anestrous in the cold season (November to April). Nevertheless, it is unclear how ovarian activity is regulated at the molecular level. Objectives: The peculiarities of yak reproduction were assessed to explore the molecular mechanism of postpartum anestrus ovaries in yaks after pregnancy and parturition. Methods: Sixty female yaks with calves were observed under natural grazing in Haiyan County, Qinghai Province. Three yak ovaries in pregnancy and postpartum anestrus were collected. RNA sequencing and quantitative proteomics were employed to analyze the pregnancy and postpartum ovaries after hypothermia to identify the genes and proteins related to the postpartum ovarian cycle. Results: The results revealed 841 differentially expressed genes during the postpartum hypoestrus cycle; 347 were up-regulated and 494 genes were down-regulated. Fifty-seven differential proteins were screened: 38 were up-regulated and 19 were down-regulated. The differential genes and proteins were related to the yak reproduction process, rhythm process, progesterone-mediated oocyte maturation, PI3K/AKT signaling pathway, and MAPK signaling pathway categories. Conclusions Transcriptome and proteomic sequencing approaches were used to investigate postpartum anestrus and pregnancy ovaries in yaks. The results confirmed that BHLHE40, SF1IX1, FBPX1, HSPCA, LHCGR, BMP15, and ET-1R could affect postpartum hypoestrus and control the state of estrus.

Cervical cancer has become a serious threat to women's health worldwide, advanced cervical cancer has limited treatment options. 5-year survival rate is less than 20%, which is a huge challenge for the gynecologic oncology community. Immunotherapy is one of the important treatment for patients with advanced cervical cancer. including immune checkpoint inhibitors, therapeutic vaccines, and periprocedural T-cell immunotherapy, etc. However, immunotherapy resistance makes some patients non-responsive and ineffective. Therefore, there is an urgent need to study and explore the mechanism of immune resistance to improve drug resistance. The present review summarizes the relevant studies on the mechanism of immune resistance in cervical cancer in recent years, mainly divided into factors such as intrinsic tumor and altered external immune environment, and introduces the countermeasures and progresses proposed for immune resistance.

ObjectiveTo explore the influence of the core symptoms of attention deficit hyperactivity disorder （ADHD） on behavioral problems of children with ADHD propensity， so as to provide references for early identification and targeted intervention for children with ADHD propensity. MethodsFrom July to August 2021， 25 children with ADHD propensity were screened as the ADHD propensity group， and 25 children matched for age， gender and grade were included as the normal group in an elementary school in Guangzhou. ADHD core symptoms were assessed by the Chinese version of the Swanson Nolan and Pelham， version IV-parent form for ADHD （SNAP-IV）， and behavioral problems were assessed by Questionnaire-Children with Difficulties （QCD） and Conners Parental Symptom Questionnaire （PSQ）. Spearman correlation analysis was used to examine the correlation between ADHD core symptoms and QCD and PSQ scores， and hierarchical linear regression analysis was used to explore the effect of ADHD core symptoms on behavioral problems. Results① The differences between the groups showed that both attention deficit and hyperactivity-impulsivity factor scores were higher in the ADHD propensity group than those in the normal group （t=7.771， 6.726， P<0.01）. ② Correlation analysis showed that the attention deficit factor score was negatively correlated with QCD total score （r=-0.440， P<0.05）， and positively correlated with the learning problem factor score of PSQ （r=0.457， P<0.05）. The score of hyperactivity-impulsivity was negatively correlated with score of anxiety factor in PSQ （r=-0.457， P<0.05）， and positively correlated with impulse-hyperactivity factor score （r=0.552， P<0.01）. ③ Hierarchical linear regression analysis showed that the attention deficit factor score negatively predicted the total score of QCD （B=-0.682， P<0.05， R²=0.468）. The hyperactivity-impulsivity factor score had a negative predictive effect on the anxiety factor score of PSQ （B=-0.048， P<0.05， R²=0.367）， and had a positive predictive effect on the impulsivity-hyperactivity factor score （B=0.077， P<0.01， R²=0.424）. ConclusionChildren with ADHD propensity have significant attention deficit symptoms， hyperactivity-impulsivity symptoms and behavioral problems， and the attention deficit may be the main cause of their daily behavioral problems， while hyperactivity-impulsivity may be the main cause of their impulsive-hyperactivity problems.

Objective To establish a HPLC method for determination of madecassoside and asiaticoside in Centella asiatica formula granules.Methods Chromatographic separation was performed on Ultimate AQ-C18 column(4.6 mm×250 mm,5 μm) with mobile phase of acetonitrile(A)-2 mmol/L β-cyclodextrin(0~30 min:21% A→23% A;30~60 min:23% A→25% A).The flow rate was set at 1.0 ml/min, the column temperature at 30 ℃ and detection wavelength at 205 nm.Results Madecassoside and asiaticoside showed good linearity (r>0.9995) in the ranges of 0.187 7~3.754 μg and 0.184 3~3.686 μg respectively.The specificity, repeatability, precision,recovery and stability were satisfied to the method validation requirements of China Pharmacopoeia.Conclusion The method can determine madecassoside and asiaticoside in Centella asiatica formula granules.

Animals ; Gene Expression Regulation ; physiology ; Gills ; metabolism ; Intestinal Mucosa ; metabolism ; Lancelets ; genetics ; metabolism ; Liver ; metabolism ; MicroRNAs ; biosynthesis ; genetics

Objective To investigate the feasibility of centerline measurement method in estimating aortic diameter at the proximal landing zone in Stanford B type aortic dissection. Methods CT angiography materials of 30 patients with type B aortic dissection were randomly selected from the hospital database (24 males with a median age of 49.5 years), which were retrospectively analyzed with multiplanar reformation (MPR) and centerline technique by two experts in vascular radiology. Difference between two measurement techniques was analyzed by using mixed linear model, and the agreement of measurements between two readers as well as between two techniques were evaluated by Bland-Altman plots. Results The diameters measured with MPR method by two experts were (29.73±2.99) mm and (29.86±2.95) mm respectively, while the diameters measured with centerline measurement method by two experts were (29.66 ±2.81) mm and (29.71 ±2.91) mm respectively. No statistically significant differences in the diameter value existed between the two measurement methods, although the results determined by centerline measurement method were more stable. Conclusion In determining aortic diameter at the proximal landing zone in Stanford B type aortic dissection, the centerline analysis provides a checking method for MPR measurement.