Lung cancer is one of the malignant tumors with the greatest threat to human health, and studies have shown that some genes play an important regulatory role in the occurrence and development of lung cancer. In this paper, a LightGBM ensemble learning method is proposed to construct a prognostic model based on immune relate gene (IRG) profile data and clinical data to predict the prognostic survival rate of lung adenocarcinoma patients. First, this method used the Limma package for differential gene expression, used CoxPH regression analysis to screen the IRG to prognosis, and then used XGBoost algorithm to score the importance of the IRG features. Finally, the LASSO regression analysis was used to select IRG that could be used to construct a prognostic model, and a total of 17 IRG features were obtained that could be used to construct model. LightGBM was trained according to the IRG screened. The K-means algorithm was used to divide the patients into three groups, and the area under curve (AUC) of receiver operating characteristic (ROC) of the model output showed that the accuracy of the model in predicting the survival rates of the three groups of patients was 96%, 98% and 96%, respectively. The experimental results show that the model proposed in this paper can divide patients with lung adenocarcinoma into three groups [5-year survival rate higher than 65% (group 1), lower than 65% but higher than 30% (group 2) and lower than 30% (group 3)] and can accurately predict the 5-year survival rate of lung adenocarcinoma patients.
Wistar rats weaned were raised through 10 weeks under cyclic illumination of 12 hours light and 12 hours darkness,with four different fluorescent colour lighting condition:75 lx and 300lx blue light,300 lux white and 300lux pink light to study the change of superoxide dismutases(SOD)and lipid peroxied(LPO)in the retina.This paper shows that photic oxidative reaction reduces SOD in the retina and oxidizes polyunsaturated fatty acids to become LPO and that complex visible light oxidizes retina easier than simple wave lengths visible light does.The shorter the wave lengths of visible light is and the brighter the illumination is the more serious the oxidative damage of the retina is. （Chin J Ocul Fundus Dis,1993,9:14-16）
ObjectiveTo compare the safety, effectiveness, and stability of 3D Max lightweight patch and standard patch in laparoscopic transabdominal preperitoneal (TAPP) herniorrhaphy. MethodsThe clinical data of 147 patients who underwent laparoscopic TAPP herniorrhaphy with 3D Max from May 2013 to May 2014 in this hospital were collected. Of all the patients, the lightweight patches were used in 75 patients (observation group), the standard patches were used in 72 patients (control group). The mean operative time, mean early postoperative ambulation time, mean bleeding volume, postoperative pain, postoperative foreign body sensation, complications, average hospital stay, and average costs were compared between these two groups. The postoperative pain point was determined by using visual analogue scale (VAS). The foreign body sensation of postoperative groin area was determined basing on the pain point. ResultsThere were no significant differences in the terms of the mean operation time, the mean early postoperative ambulation time, the mean bleeding volume, the average costs, and the average hospital stay between the observation group and the control group (P > 0.05). On postoperative 2 d, the pain point of the observation group was slightly lower than that of the control group, but there was no statistically significant difference between these two groups (P=0.132); On postoperative 1 month and 6 months, the postoperative pain points of the observation group were significantly lower than those of the control group, the differences were statistically significant (P=0.031, P=0.018). There was no recurrence of hernia and complications in the two groups. ConclusionsThe cost of 3D Max lightweight patch in laparoscopic TAPP herniorrhaphy application is slightly higher than that in standard patch, but it could alleviate postoperative pain, reduce postoperative foreign body sensation, and make patients feel more comfortable. It is safe, effective, and stable in clinical application of laparoscopic TAPP herniorrhaphy.
Illumimaton intensities of 6 indirect opthalmoscopes and 5 slit lamps were measured and calculated. The results showed the retinal irradiance from these instruments is quite high with dilated pupils ahd clear media. Although such illuminating intensity is a potential risk factor for the human retina, with careful use and reduced intensity, they are relatively safe. We suggest that ophthalmologists try their best to avoid using brighter source beyond useful illumination and unnecessary wide slit. （Chin J Ocul Fundus Dis,1992,8:133-137）
ObjectiveTo observe the diagnostic value of six classification intelligent auxiliary diagnosis lightweight model for common fundus diseases based on fundus color photography. MethodsA applied research. A dataset of 2 400 color fundus images from Nanjing Medical University Eye Hospital and Zhejiang Mathematical Medical Society Smart Eye Database was collected, which was desensitized and labeled by a fundus specialist. Of these, 400 each were for diabetic retinopathy, glaucoma, retinal vein occlusion, high myopia, age-related macular degeneration, and normal fundus. The parameters obtained from the classical classification models VGGNet16, ResNet50, DenseNet121 and lightweight classification models MobileNet3, ShuffleNet2, GhostNet trained on the ImageNet dataset were migrated to the six-classified common fundus disease intelligent aid diagnostic model using a migration learning approach during training as initialization parameters for training to obtain the latest model. 1 315 color fundus images of clinical patients were used as the test set. Evaluation metrics included sensitivity, specificity, accuracy, F1-Score and agreement of diagnostic tests (Kappa value); comparison of subject working characteristic curves as well as area under the curve values for different models. ResultCompared with the classical classification model, the storage size and number of parameters of the three lightweight classification models were significantly reduced, with ShuffleNetV2 having an average recognition time per sheet 438.08 ms faster than the classical classification model VGGNet16. All 3 lightweight classification models had Accuracy > 80.0%; Kappa values > 70.0% with significant agreement; sensitivity, specificity, and F1-Score for the diagnosis of normal fundus images were ≥ 98.0%; Macro-F1 was 78.2%, 79.4%, and 81.5%, respectively. ConclusionThe intelligent assisted diagnosis of common fundus diseases based on fundus color photography is a lightweight model with high recognition accuracy and speed; the storage size and number of parameters are significantly reduced compared with the classical classification model.
Animal localization and trajectory tracking are of great value for the study of brain spatial cognition and navigation neural mechanisms. However, traditional optical lens video positioning techniques are limited in their scope due to factors such as camera perspective. For pigeons with excellent spatial cognition and navigation abilities, based on the beacon positioning technology, a three-dimensional (3D) trajectory positioning and tracking method suitable for large indoor spaces was proposed, and the corresponding positioning principle and hardware structure were provided. The results of in vitro and in vivo experiments showed that the system could achieve centimeter-level positioning and trajectory tracking of pigeons in a space of 360 cm × 200 cm × 245 cm. Compared with traditional optical lens video positioning techniques, this system has the advantages of large space, high precision, and high response speed. It not only helps to study the neural mechanisms of pigeon 3D spatial cognition and navigation, but also has high reference value for trajectory tracking of other animals.
Objective To evaluate the efficacy of the light cured flowable composite resin and the light cured pit and fissure sealant in the prevention of dental caries in children. Methods EMbase, CBM, The Cochrane Library, PubMed, Web of Science, CNKI, WanFang Data and VIP databases were searched from inception to January 1st, 2017 for randomized controlled trials (RCTs) or quasi-RCTs about the application of the light cured flowable composite resin and the light cured pit and fissure sealants. Two reviewers independently screened literature, extracted data and assessed the risk of bias of included studies. Then, the RevMan 5.3 software was applied to conduct meta-analysis. Results A total of 13 studies were included. The results of meta-analysis showed that the complete retention rate of the light cured flowable composite resin group was higher than that of the light cured pit and fissure sealant group (6 months: RR=1.03, 95%CI 1.00 to 1.06, P=0.03; 12 months: RR=1.09, 95%CI 1.04 to 1.13, P=0.000 3; 24 months: RR=1.22, 95%CI 1.13 to 1.31, P<0.000 01). The incidence of caries of the light cured flowable composite resin group was lower than that of the light cured pit and fissure sealant group (12 months: Peto OR=0.30, 95%CI 0.16 to 0.56,P=0.000 2; 24 months: Peto OR=0.44, 95%CI 0.31 to 0.63, P<0.000 01). Conclusion The light cured flowable composite resin is superior to the light cured pit and fissure sealant in the complete retention and caries prevention. The above conclusions are needed to be verified by more high-quality clinical studies because of the limitation of the quality and follow-up time of studies.
Objective To study the retinal light sensitivity of central visual field in normal children. Methods The QZS-Ⅱ automated perimetry was used to assess the visual field of centro-30deg;and centro-6deg; in normal or ametropic eyes in 60 eyes of 5～9 years old children. Results The mean sensitivity(MS)was not influenced by sex,age and laterality and ametropia of the eye.The normal type of dB distribution was obviously higher than the abnormal(P＜0.01).We set normal range as 30deg;MS＞19.3 dB, 6deg;MS＞22.5 dB.The abnormality of value or distribution didnprime;t appear in the same field. Conclusions In normal children,the dB distribution of visual field was mainly of the normal type.We suggest that in evaluating function of visual filed of the children,the dB distribution of centro-30deg;and centro-6deg;field and the value of MS should be included. (Chin J Ocul Fundus Dis, 1999, 15: 137-138)
The poor mechanical property and vulnerability to bacterial infections are the main problems in clinic for dental restoration resins. Based on this problem, the purpose of this study is to synthesize silver-titanium dioxide (Ag-TiO2) nanoparticles with good photocatalytic properties, and add them to the composite resin to improve the mechanical properties and photocatalytic antibacterial capability of the resin. The microstructure and chemical composition of Ag-TiO2 nanoparticles and composite resins were characterized. The results indicated that Ag existed in both metallic and silver oxide state in the Ag-TiO2, and Ag-TiO2 nanoparticles were uniformly dispersed in the resins. The results of mechanical experiments suggested that the mechanical properties of the composite resin were significantly improved due to the incorporation of Ag-TiO2 nanoparticles. The antibacterial results indicated that the Ag-TiO2 nanoparticle-filled composite resins exhibited excellent antibacterial activities under 660 nm light irradiation for 10 min due to the photocatalysis, and the Ag-TiO2 nanoparticle-filled composite resins could also exhibit excellent antibacterial activities after contact with bacteria for 24 h without light irradiation because of the release of Ag ions. In summary, this study provides a new antibacterial idea for the field of dental composite resins.
To address the issue of a large number of network parameters and substantial floating-point operations in deep learning networks applied to image segmentation for cardiac magnetic resonance imaging (MRI), this paper proposes a lightweight dilated parallel convolution U-Net (DPU-Net) to decrease the quantity of network parameters and the number of floating-point operations. Additionally, a multi-scale adaptation vector knowledge distillation (MAVKD) training strategy is employed to extract latent knowledge from the teacher network, thereby enhancing the segmentation accuracy of DPU-Net. The proposed network adopts a distinctive way of convolutional channel variation to reduce the number of parameters and combines with residual blocks and dilated convolutions to alleviate the gradient explosion problem and spatial information loss that might be caused by the reduction of parameters. The research findings indicate that this network has achieved considerable improvements in reducing the number of parameters and enhancing the efficiency of floating-point operations. When applying this network to the public dataset of the automatic cardiac diagnosis challenge (ACDC), the dice coefficient reaches 91.26%. The research results validate the effectiveness of the proposed lightweight network and knowledge distillation strategy, providing a reliable lightweighting idea for deep learning in the field of medical image segmentation.