|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | Precise localization of small pulmonary nodules using Pre-VATS with Xper-CT in combination with real-time fluoroscopy-guided coil:report of 15 patients显示文摘Purpose: This study aimed to evaluate the value of precise localization of nodules using pre-video-assisted thoracic surgery(VATS) Xper–CT in combination with real-time fluoroscopy-guided coil in the resection of pulmonary nodules using VATS. Materials and Methods: Precise localization of nodules using Xper-CT in combination with real-time fluoroscopy-guided coil and wedge resection using VATS were conducted on 15 patients with 17 small pulmonary nodules(diameter 0.5–1.5 cm) from April 2015 to January 2016. The value of localization was evaluated in terms of procedure time, type of coils, associated complications of localization, and VATS success rate. Results: The success rate of coil localization was found to be 100% in the primary stage(as shown by the CT scan), and the average procedure time was 30–45 min(35.6 ± 3.05 min). No deaths or major complications occurred. Minor complications included five incidents of pneumothorax(the morbidity was 29.4%, 5/17; no patient required chest tube drainage). The dislocation of coil was found in one patient. The results of pathological examination of 17 small pulmonary nodules revealed 11 primary lung cancers, 1 mesenchymal tumor, 3 nonspecific chronic inflammations, 1 hamartoma, and 1 tuberculosis. Two patients with primary lung cancer underwent lobectomy with mediastinal lymph node dissection. Conclusion: The preoperative precise localization of small pulmonary nodules using Xper-CT-guided coil is an effective and safe technique. It helps in the resection of nodules using VATS. It increases the rate of lung wedge resection with few complications and allows for proper diagnosis with a low thoracotomy conversion rate. | Jiemin Cheng Changyu Li Liangwen Wang Jiting Liang Zhiping Yan Jiani Hu Huibing Shi | 2018 | Journal of Interventional Medicine2018，1，2： | 8 |
| 2 | Cbln1和Cbln4在结构上相似但与GluD2相互作用显著不同显示文摘文章简介本研究以参与突触形成的Cbln家族为研究对象。Cbln家族包含4个成员,其中Cbln1通过在突触间隙中结合Nrxn蛋白和δ-谷氨酸受体参与突触形成;然而,尽管Cbln4与Cbln1有高达74%的序列等同性,文献报道Cbln4不能结合Nrxn蛋白和δ-谷氨酸受体,而是DCC的配体。 | 钟琛 Jinlong Shen Huibing Zhang Guangyi Li Senlin Shen Fang Wang Kuan Hu Longxing Cao Yongning He 丁建平 | 2018 | 科学新闻2018，0，4： | 0 |
| 3 | Cyclodextrin/chitosan nanoparticles for oral ovalbumin delivery: Preparation, characterization and intestinal mucosal immunity in mice显示文摘A novel oral protein delivery system with enhanced intestinal penetration and improved antigen stability based on chitosan(CS) nanoparticles and antigen-cyclodextrin(CD) inclusion complex was prepared by a precipitation/coacervation method. Ovalbumin(OVA) as a model antigen was firstly encapsulated by cyclodextrin, either β-cyclodextrin( β-CD) or carboxymethyl-hydroxypropyl-β-cyclodextrin(CM-HP-β-CD) and formed OVA-CD inclusion complexes, which were then loaded to chitosan nanoparticles to form OVA loaded β-CD/CS or CM-HP-β-CD/CS nanoparticles with uniform particle size(836.3 and 779.2 nm, respectively) and improved OVA loading efficiency(27.6% and 20.4%, respectively). In vitro drug release studies mimicking oral delivery condition of OVA loaded CD/CS nanoparticles showed low initial releases at p H 1.2 for 2 h less than 3.0% and a delayed release which was below to 30% at p H 6.8 for further 72 h. More importantly, after oral administration of OVA loaded β-CD/CS nanoparticles to Balb/c mice, OVA-specific sIgA levels in jejunum of OVA loaded β-CD/CS nanoparticles were 3.6-fold and 1.9-fold higher than that of OVA solution and OVA loaded chitosan nanoparticles, respectively. In vivo evaluation results showed that OVA loaded CD/CS nanoparticles could enhance its efficacy for inducing intestinal mucosal immune response. In conclusion, our data suggested that CD/CS nanoparticles could serve as a promising antigen-delivery system for oral vaccination. | Muye He Chen Zhong Huibing Hu Yu Jin Yanzuo Chen Kaiyan Lou Feng Gao | 2019 | Asian Journal of Pharmaceutical Sciences2019，14，2： | 0 |
| 4 | RHMX:Bus Arrival Time Prediction via Mixed Model显示文摘With the widespread use of information technologies such as IoT and big data in the transportation business,traditional passenger transportation has begun to transition and upgrade into intelligent transportation,providing passengers with a better riding experience.Giving precise bus arrival times is a critical link in achieving urban intelligent transportation.As a result,a mixed model-based bus arrival time prediction model(RHMX)was suggested in this work,which could dynamically forecast bus arrival time based on the input data.First,two sub-models were created:bus station stopping time prediction and interstation running time prediction.The former predicted the stopping time of a running bus at each downstream station in an iterative manner,while the latter projected its running time on each downstream road segment(stations as the break points).Using the two models,a group of time series data on interstation running time and bus station stopping time may be predicted.Following that,the time series data from the two sub-models was fused using long short-term memory(LSTM)to generate an approximate bus arrival time.Finally,using Kalman filtering,the LSTM prediction results were dynamically updated in order to eliminate the influence of aberrant data on the anticipated value and obtain a more precise bus arrival time.The experimental findings showed that the suggested model's accuracy and stability were both improved by 35%and 17%,respectively,over AutoNavi and Baidu. | Fei Jia Huibing Zhang Xiaoli Hu | 2021 | Journal of Electronic Research and Application2021，5，6： | 0 |
您所在的机构暂未开通此部分的功能，请联系管理员