Objective:To construct and analyze the visual nomogram predictive model for the prognosis of elderly advanced lung adenocarcinoma patients after surgery based on the Surveillance, Epidemiology, and End Results (SEER) database.Methods:SEER*Stat8.4.0.1 software was used to screen out the data from 17 register in SEER database between 2000 and 2019, and finally 4 453 lung adenocarcinoma patients aged ≥ 65 years who underwent surgical treatment and were diagnosed as stage Ⅲ and Ⅳ according to the 7th edition of the American Joint Committee on Cancer (AJCC) staging criteria were enrolled. The data were randomly divided into the training set (3 117 cases) and the validation set (1 336 cases) in a 7:3 ratio; the epidemilogical data and clinicopathological characteristics of the two groups were compared. LASSO regression was used for data dimensionality reduction to select the best predictors from the prognostic factors of patients. Cox proportional risk model was used to perform univariate and multivariate analyses of the screened variables, and based on R software rms package and the prognostic independent risk factors, the nomogram was constructed to predict the 1-, 3-, and 5-year cancer-specific survival (CSS) rates of the patients. The validation set was validated by using Bootstrap method with 1 000 equal repeated samples with playback, and the accuracy of the nomogram model was verified by using the C-index, receiving operating characteristic (ROC) curves and calibration curves.Results:There were no statistically significant differences in age, gender, race, tumor location, Grade grading, surgery methods, the number of lymph node dissection, radiotherapy, tumor diameter, tumor metastasis, marriage, living condition, TNM staging, radiochemotherapy of training set and validation set (all P > 0.05). In training set, 18 variables were included into LASSO regression analysis and were performed with dimensionality reduction; ultimately, 11 optimal predictive variables were selected, including age ≥ 85 years ( HR = 2.34, 95% CI: 1.803-3.037, P < 0.01), male ( HR = 1.326, 95% CI: 1.228-1.432, P < 0.01), Grade grading Ⅲ-Ⅳ ( HR = 1.333, 95% CI: 0.844-2.105, P < 0.01), undissected lymph nodes ( HR = 2.261, 95% CI: 2.023-2.527, P < 0.01), tumor diameter ≥3.7 cm ( HR = 1.445, 95% CI: 1.333-1.566, P < 0.01), bone metastasis ( HR = 1.535, 95% CI: 1.294-1.819, P < 0.01), brain metastasis ( HR = 1.308, 95% CI: 1.117-1.532, P < 0.01), lung metastasis ( HR = 1.229, 95% CI: 1.056-1.431, P = 0.01), living in rural areas ( HR = 1.215, 95% CI: 1.084-1.363, P < 0.01), TNM staging Ⅳ ( HR = 1.155, 95% CI: 1.044-1.278, P = 0.01), postoperative radiotherapy ( HR = 1.148, 95% CI: 1.054-1.250, P < 0.01); lung adenocarcinoma patients with the above 11 factors had worse prognosis. Based on the variables, the nomogram predictive model was constructed to predict 1-, 3-, and 5-year CSS rates of elderly advanced lung adenocarcinoma patients. Bootstrap method was used for repeated sampling for 1 000 times to verify the modeling effect of nomogram. In the model group, C-index was 0.654 (95% CI: 0.641-0.668), 0.666 (95% CI: 0.646-0.685), respectively in the training set and the validation set. The nomogram was drawn to predict ROC curves of 1-, 3-, and 5-year CSS rates for elderly advanced lung adenocarcinoma patients after operation in the training set and validation set; the area under the curve (AUC) of 1-year, 3-year, and 5-year CSS rates was 0.730 (95% CI: 0.708-0.754) and 0.689 (95% CI: 0.672-0.710), 0.687 (95% CI: 0.668-0.711) and 0.731 (95% CI: 0.697-0.765), 0.712 (95% CI:0.684-0.740) and 0.714 (95% CI: 0.683-0.745), respectively in the training and validation sets. The calibration curve showed a high consistency between the predicted probability of the model and the actual probability. Conclusions:The nomogram model constructed by optimal predictive variables for predicting the prognosis of elderly advanced lung adenocarcinoma patients after surgery may be a convenient tool for survival prediction of these patients.

Objective To investigate the risk factors for pediatric acute perforation appendicitis,and to construct a nomogram predictive model and conduct the verification.Methods A total of 426 children patients with appendectomy in this hospital from June 30,2020 to June 30,2022 were selected as the study subjects 340 children with acute appendicitis admitted to the hospital from 30 June 2020 to 28 February 2022 were the training set and 86 children patients with appendicitis hospitalized in this hospital from March 1,2022 to June 30,2022 conducted the external validation(verification set).The univariate and multivariate logistic regression models were employed to analyze the independent risk factors of pediatric acute perforation appendicitis.The nomograms predictive model was constructed.The receiver operating characteristic(ROC)curve and calibra-tion curve were used to evaluate the predictive efficiency of the model.The decision curve analysis(DCA)was used to evaluate the application value of the model.Results Of the 426 children,198 were perforated and 228 were not perforated.The univariate and multivariate logistic regression analyses revealed that elevated C-reac-tive protein(CRP),presence of stercorolith in appendiceal cavity,time of onset to visiting hospital ≥2 d and body temperature ≥37.3 ℃ were the independent risk factors for pediatric acute perforation appendicitis(P＜0.05).The Hosmer-Lemeshow test demonstrated that the nomogram predictive model had good fitting(P=0.869),and the area under the curve(AUC)for the training and validation sets were 0.808 and 0.860 respectively,showing the good predictive ability of the model.The calibration curve closely approach the ideal diagonal.The model showed good discrimination,consistency and accuracy.The DC A revealed that the curve was far away from oblique and horizontal lines,and the model had good clinical practicability.Conclusion The constructed nomogram model of pediatric acute perforation appendicitis has good predictive ability and may help clinic to identify as early as possible.

Cranial defects may result from clinical brain tumor surgery or accidental trauma. The defect skulls require hand-designed skull implants to repair. The edge of the skull implant needs to be accurately matched to the boundary of the skull wound with various defects. For the manual design of cranial implants, it is time-consuming and technically demanding, and the accuracy is low. Therefore, an informer residual attention U-Net (IRA-Unet) for the automatic design of three-dimensional (3D) skull implants was proposed in this paper. Informer was applied from the field of natural language processing to the field of computer vision for attention extraction. Informer attention can extract attention and make the model focus more on the location of the skull defect. Informer attention can also reduce the computation and parameter count from N ² to log( N). Furthermore,the informer residual attention is constructed. The informer attention and the residual are combined and placed in the position of the model close to the output layer. Thus, the model can select and synthesize the global receptive field and local information to improve the model accuracy and speed up the model convergence. In this paper, the open data set of the AutoImplant 2020 was used for training and testing, and the effects of direct and indirect acquisition of skull implants on the results were compared and analyzed in the experimental part. The experimental results show that the performance of the model is robust on the test set of 110 cases fromAutoImplant 2020. The Dice coefficient and Hausdorff distance are 0.940 4 and 3.686 6, respectively. The proposed model reduces the resources required to run the model while maintaining the accuracy of the cranial implant shape, and effectively assists the surgeon in automating the design of efficient cranial repair, thereby improving the quality of the patient's postoperative recovery.
Humans ; Computer-Aided Design ; Skull/surgery* ; Prostheses and Implants ; Head

Strengthening practical teaching, together with improving innovation ability is one of the key tasks of Emerging Engineering Education. This paper is based on the revision of the training program of bioengineering in School of Chemical Engineering and Technology, Tianjin University, improved the practical teaching system and curriculum content, built a five-level teaching system for basic experiment, comprehensive experiment, course design, scientific research and practical training. In order to cultivate outstanding innovative talents with practical ability and innovative spirit, innovative teaching reform mode is proposed. Furthermore the new thought and new schemes for Emerging Engineering Education are put forward.
Bioengineering ; education ; Curriculum

Objective: To examine sleep characteristics of preschool children who were born preterm, which could provide a reference for the future intervention in the risk population. Methods: This retrospective cohort study was conducted from March 2017 to November 2018 in hospitals in cities of Guangzhou, Zhongshan, and Shenzhen, Guangdong Province, China, we recruited 202 preschool children aged 4-6 years, including 40 early-and moderate preterm (gestational age <34 weeks), 56 late preterm (34-36 weeks) , and 106 full-term preschool children (≥37 weeks). Caregivers reported children’s sleep time and habits using Chinese version of Children’s Sleep Habits Questionnaire (CSHQ). Results: Compared to the full-term group, the very-or-moderate-preterm group had shorter nighttime sleep duration (9.07±0.75 vs 9.33±0.59 h; adjusted β=-0.33), shorter total sleep duration (10.39±0.86 vs 11.05±1.32 h; adjusted β=-0.70), higher sleep duration score of CSHQ (4.60 ± 1.57 vs 3.97 ± 1.25 points; adjusted β=0.58), and higher sleepdisordered breathing score of CHSQ (3.78±1.27 vs 3.41±0.71 points; adjusted β=0.49). The late preterm group had lower parasomnias score of CSHQ (8.40±1.65 vs 8.75±1.72 points; adjusted β=-0.57), than the full-term group(P<0.05). When gestational age was analyzed as a continuous variable, it was positively associated with the total sleep duration (adjusted β= 0.06), while was inversely associated with sleep-disordered breathing scores of CSHQ (adjusted β=-0.06). Conclusion Very-or-moderate preterm children have shorter sleep duration and more sleep disordered breathing problems than full-term children, and have more disorders of sleeping duration and sleeping breathing than full-term children, while the late preterm children have less sleeping disorders than full-term children. The children of lower gestational age can have shorter sleep duration and more sleep-disordered breathing which should be addressed in future intervention.

Objective:To investigate the anti-fatigue phenomenon induced by forced swimming in the mice,and to explore the anti-fatigue effect of argininyl fructoyl glucose (AFG) from red ginseng in the mice and its mechanism.Methods:The AFG was extracted from red ginseng.The ICR mice were divided into blank control group,low dose of AFG group (100 mg · kg-1),middle dose of AFG group (200 mg · kg-1) and high dose of AFG group (400 mg · kg-1) (n=20).The mice mere given a forced swimming test after continuous gavage for 28 d.The weights,organ indexes,time of forced swimming,contents of lactic acid (LD),blood urea nitrogen (BUN),hepatic glycogen (Gly) and expressing levels of PGC-1α in gastrocnemius of the mice in various groups were detected.Results:Compared with blank control group,the weights and organ indexes of the mice in low,middle and high doses of AFG groups had no significant differences (P＞ 0.05).Compared with blank control group,the time of forced swimming,contents of Gly and expressing levels of PGC-1α of the mice in low,middle and high doses of AFG groups were significantly increased (P＜0.05 or P＜0.01) in a dose-dependent manner.Compared with blank control group,The contents of LD and BUN in serum of the mice in low,middle and high doses of AFG groups were significantly decreased (P＜0.01).Conclusion:AFG has anti-fatigue effect in mice,and its mechanism may be related to energy metabolism.

Objective:To study the anti-inflammatory effect of the ethanol extract of Coptis chinensis Franch.in vitro.Methods: An inflammatory cell model was established by stimulating the mouse peritoneal macrophages in vitro with lipopolysaccharide(LPS).LPS stimulated of RAW264.7 cells for a long time after administration of intervention.Effect of ethanol extract of Coptis chinensis Franch.on RAW264.7 cell growth activity was analyzed by MTT assay.The production of tumor necrosis factor-α(TNF-α),IL-1β,IL-6,NO,prostaglandin E2(PGE2) was determined by ELISA.The expression of mRNA of TNF-α,induced nitric oxide synthase(iNos) and HO-1 was detected by real-time fluorescent quantitative PCR(RT-PCR).Results: The ethanol extract of Coptis chinensis had no inhibition effect on the scope of RAW 264.7 cells the scope of 5-80 mg/L.Each treatment group concentration of interleukin-6 (IL-6),interleukin-1β (IL-1β),TNF-α,NO,prostaglandin E2 (PGE2) content of LPS stimulation model group were significantly (P<0.01),and content was not related to concentration.Real-time quantitative (RT-PCR) showed,the concentration of each treatment group were significantly lower iNos,HO-1 and TNF-α mRNA expression (P<0.05,P<0.05,P<0.01),and content was not related to concentration.Conclusion: Coptis chinensis Franch.ethanol extract has anti-inflammatory effects in vitro,the mechanism may be related to inhibition of TNF-α,NO and other inflammatory factors and the impact of the activation of arachidonic acid (AA) metabolism.

Papers published by 70 public hospitals in Jilin Province from 2011 to 2015 were retrieved from CNKI, China Citations Database, and Wanfang Database. The scientific papers and their research hot spots were analyzed in aspects of the total number of published papers and different institutions-published papers, high output authors, cited papers, journals that published the papers, and foundation-supported papers in order to provide reference for subsequent research and policy-making.

Objective To compare the efficacy of endovenous laser treatment combined with transilluminated powered phlebectomy and traditional surgical treatment for great saphenous varicosity. Methods From January 2014 to January 2015,77 patients diagnosed as great saphenous varicosity were enrolled. They were randomly divided into two groups, 37 patients received endovenous laser treatment combined with transilluminated powered phlebectomy and the other 40 patients underwent traditional surgical treatment. The related indicators were compared.Results The mean operation time,average bleeding volume,operative incisionquantity and average hospitalization time of EVLT+ TIPP group were (66.1±14.7) min,(24.4±10.5) ml,5.7±1.7,(5.6±1.4) d respectively,of control group were (84.3±18.5) min,(59.0±15.6) ml,8.0±1.8,(10.1±3.1) d respectively,there were significant differences between the two groups(t =-4.749,-11.460,-5.714;P<0.001) .There were no significant complications in the two groups.In the EVLT+ TIPP group,6 patientsoccurred patsubcutaneous induration, 5 patients occurred subcutaneous hematoma and 7 patients had skinparesthesias.In the traditional operation group,2 cases occurred patsubcutaneous induration,3 cases occurredsubcutaneous hematoma and 2 cases had skin paresthesias.The EVLT+ TIPP group was slightly higher than thetraditional operation group in the complications, but there were no significant differences between them ( P>0.05).During a mean follow?up time of (18±7) months(12 months to 24 months),1 patient recurrence in theEVLT+ TIPP group,2 cases recurrence in the traditional operation group.The recurrence rates of the two groupswere similar,the difference was not significant between them(P=1.000) .Conclusion Endovenous lasertreatment combined with transilluminated powered phlebectomy for great saphenous varicosity is effective andsafe.It also has the advanta and better cosmetic results.

Objective:To screen and characterize aptamers against BCR-ABL fusion protein.Methods:A 90bp single stranded DNA( ssDNA) random library was subjected to 13 rounds of selection against BCR-ABL fusion protein by systematic evolution of ligands by expotential enrichment ( SELEX ) method, the selected aptamers were cloned and sequenced.The primary sequences and structure of aptamers were analyzed by Clustal W and DNA Folding Sever and the percentage of the ssDNA pool bound to BCR-ABL core protein were determinated.Results: after 13 rounds selection, the percentage of ssDNA pool bound to BCR-ABL fusion protein increased from 0.3%to 47.1%,the results showed that affinities of the Aptamers were different,the second structure analysis revealed possible stem-loops for binding to BCR-ABL fusion protein,the affinity of aptamer A2 to BCR-ABL fusion protein was highest with Kd values as low as 72 nmol/L.Conclusion:Aptamers against BCR-ABL fusion protein has been identified by SELEX methods from a 90 bp single stranded DNA library.And provide certain reference for the clinical treatment of chronic myelogenous.