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目的 利用可解释的机器学习模型，探讨轻型缺血性卒中（minor ischemic stroke，MIS）2年内复发相关危险因素。 方法 回顾性收集2020年7—12月山西省心血管病医院神经内科MIS患者一般资料、实验室结果、影像学等资料，单因素分析进行复发危险因素变量筛选，合成少数过采样技术-标称连续处理数据不平衡，数据集按8∶2的比例分为训练集与测试集，网格搜索10折交叉验证构建轻量梯度提升机（light gradient boosting machine，LightGBM）、支持向量机（support vector machine，SVM）模型，并与逻辑回归（logistic regression，LR）模型进行比较，基于ROC的AUC、校准曲线分别评价模型的区分度与校准度，性能最好的模型通过Shapley加性解释（Shapley additive explanation，SHAP）模型对预测结果进行解读。 结果 本研究共纳入520例MIS患者，2年内复发93例（17.9%），测试集中LightGBM、SVM、LR预测患者2年内复发的AUC分别为0.935（95%CI 0.896～0.973）、0.833（95%CI 0.770～0.896）、0.764（95%CI 0.691～0.835），准确度分别为0.890、0.773、0.693，布里尔分数分别为0.105、0.167、0.200。结果显示LightGBM模型性能最优，基于SHAP的LightGBM可解释模型重要性前5的是舒张压、年龄、糖尿病、LDL-C、吸烟。 结论 本研究建立的LightGBM模型预测效果良好，可为MIS患者2年内复发的预测提供借鉴。通过SHAP可解释性帮助临床医师更好地理解预测模型结果背后的原因，对MIS患者做出更个性化与合理化的临床决策。 Abstract: Objective To explore the risk factors related to the recurrence of minor ischemic stroke (MIS) within two years by using an interpretable machine learning model. Methods General data, laboratory results, imaging, and other data of patients with MIS in the Department of Neurology, Shanxi Cardiovascular Hospital from July to December 2020 were retrospectively collected. The risk factors for recurrence were screened by univariate analysis. Synthetic minority oversampling technique-nominal continuous treated the imbalance in the data. The data set was divided into a training set and a test set in a ratio of 8∶2. Grid search 10-fold cross-validation to build light gradient boosting machine (LightGBM) and support vector machine (SVM) models. Compared with the logistic regression (LR) model, the discrimination and calibration degree of the model were evaluated based on the AUC and calibration curve, respectively. The model with the best performance was interpreted by the Shapley additive explanation (SHAP) model. Results A total of 520 patients with MIS were included in this study, and 93 (17.9%) relapsed within two years. The AUC of LightGBM, SVM, and LR predicted recurrence within 2 years in the test set were 0.935 (95%CI 0.896-0.973), 0.833 (95%CI 0.770-0.896), and 0.764 (95%CI 0.691-0.835), respectively. The accuracy was 0.890, 0.773, 0.693, and the Brier score was 0.105, 0.167, and 0.200, respectively. The results showed that the LightGBM model had the best performance. The top 5 features of the SHAP-based LightGBM explanatory model were diastolic blood pressure, age, diabetes mellitus, LDL-C, and smoking. Conclusions The prediction effect of the LightGBM model established in this study is good, and it can provide a reference for predicting recurrence in patients with MIS within two years. SHAP interpretability helps clinicians better understand the reasons behind prediction model results and make more personalized and rational clinical decisions for patients with MIS.

随着数字经济的飞速发展，以及“全国一体化数据中心”和“东数西算”等基础设施的不断完善，数据要素流通的大趋势使数据服务逐步由面向单一空间域的数据管理转变为面向跨空间域的数据管理。跨域数据管理需要通过分布式共识算法使数据一致。然而，已有的分布式共识算法仅考虑单数据中心的情况，没有考虑跨数据中心之间的网络通信的不确定性，从而在跨空间域场景下面临日志同步时延大、系统吞吐量低下等问题。系统地梳理了跨空间域下的分布式共识算法的现状以及面临的新挑战，并针对解决这些挑战的技术路线进行了展望。

Lifting and transportation equipment can greatly contribute to the harvesting of mountain bananas in the agricultural industry. However, some challenges still remain during post-harvest transportation, such as high labor intensity and cost, easy damage to fruits, and safety accidents. In this study, an Unmanned aerial vehicle (UAV) autonomous lifting and transportation equipment was designed to harvest the mountain bananas. The autonomous grasping and unloading of banana shafts were realized during the lifting and transportation. Manual participation was effectively reduced to ensure the safety of operators. The grasping mechanism, lifting gear, guide mechanism, and connecting parts were designed, according to the measured morphological features of the mountain banana. The specific needs were fully met by the postharvest transportation of mountain bananas. A three-dimensional model of the equipment was established using SOLIDWORKS software. The communication system of the upper and lower machines was also built. The key components of lifting and transportation equipment were simulated and theoretically calculated, using the explicit dynamics and magnetostatic analysis of ANSYS Workbench software. The parameters of an electromagnet and steering gear were determined to meet the requirements. The simulation highlighted that the better performance of equipment was achieved for subsequent testing. A laboratory experiment was then carried out to validate the efficacy of the equipment. The success rates of lifting and transportation were 92.59%, 96%, and 88.89%, respectively. The average time of grasping and unloading was 63.8 and 20.8 s, respectively. The effectiveness of equipment was verified to transport the mountain bananas. Furthermore, the field experiment UAV was carried out on the lifting and transportation equipment. The success rate of lifting and transportation was 83.33%, the total time of grasping and unloading was 90.8 s, and the average speed of lifting and transportation was 0.99 m/s, which was more than three times that of manual carrying speed (0.17~ 0.33 m /s). Because the banana bunch was suspended under the equipment without contacting with other objects, there was no damage to the fruit finger, indicating the better quality of the fruits during transportation. Nevertheless, the equipment produced a large lateral swing on the positioning and grasping of the banana shaft, due mainly to the strong wind field under the UAV. Therefore, there were some differences between the field test and the indoor experiment, but the expected performance was achieved anyway. The structure can be further optimized to improve the success rate of lifting and transportation of the equipment for less operation time. In conclusion, the equipment can fully meet the operational requirements for the autonomous lifting and transportation of mountain bananas by UAV. Overall, these findings can provide a strong reference for efficient, low-loss, and safe unmanned lifting and transportation equipment. A reliable and efficient solution can be offered for autonomous lifting and transportation in the banana industry towards sustainable growth and productivity. [ABSTRACT FROM AUTHOR]

Copyright of Chinese Journal of Tissue Engineering Research / Zhongguo Zuzhi Gongcheng Yanjiu is the property of Chinese Journal of Tissue Engineering Research and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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目的探讨初次单侧全膝关节置换术（TKA）术后慢性疼痛（CPSP）的发生率、严重程度和性质，拟寻找导致TKA后CPSP发生的非手术因素。方法选择近两年本中心符合条件的接受初次单侧TKA患者380名。回顾性电话问卷，疼痛数字评分法（NRS）和ID pain 评分量表法计算患者术后3个月的疼痛程度和性质，收集患者围术期相关信息。对相关信息采用二元 Logistic 回归分析，筛查TKA 后 CPSP 可能的独立影响因素。结果最终纳入 338 例患者，失访率为 11.05%。41.7%（141例）TKA患者术后3个月有CPSP。因CPSP日常活动受到影响的患者有25.1%（85例），导致睡眠障碍的有16.9%（57例）。15.4%患者（52例）疼痛性质为可疑神经病理性疼痛（NP）。围术期相关24项非手术因素中，术前术侧膝关节 NRS评分高、自控镇痛泵有效按压率低、术后3个月术侧膝关节肿胀和术后3天C-反应蛋白（CRP）水平低是 TKA 后 CPSP 的独立危险因素，P＜0.05。结论初次单侧TKA患者术后3个月的CPSP发生率仍较高，15.4%的有可疑的神经病理性疼痛。术前术侧NRS高、术后CRP水平低、术后术侧膝关节肿胀、自控镇痛泵有效按压率低是TKA后CPSP的独立危险因素。可通过进一步提高围术期疼痛管理来降低TKA后CPSP的发生。

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Objective To investigate the status and influencing factors of clinical communication competency among male psychiatric nurses in Guangdong. Methods A cross-sectional survey of 191 male psychiatric nurses was conducted using the Nurses’ clinical Communication Competency Scale. Results The average score of clinic communication competency was (3. 79±0. 80). From high to low, the scores of each dimension were: team communication ability was (3. 91±0. 85); emotional perception ability was (3. 82±0. 83); basic verbal communication ability was (3. 81±0. 81); basic non-verbal communication ability was (3. 79±0. 82); emotional support ability was (3. 77±0. 83); communication ability in difficult situations was (3. 75±0. 81). Male nurses’ position was the main factor affecting the score of clinical communication competency and the difference was statistically significant (P

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Objective: To investigate the effects of aloperine （ALO） on cell behavior of colorectal cancer （CRC） cells through IL-6/tyrosine kinase 1 （JAK1）/signal transducer and activator of transcription 3 （STAT3） pathway. Methods: SW480 cells were grouped into CK group（ normal culture of SW480 cells）， ALO low-dose group（ ALO-L group， 0.2 mmol/L）， ALO medium-dose group （ALO-M group， 0.4 mmol/L）， ALO high-dose group （ALO-H group， 0.8 mmol/L） and ALO-H+activator （IL-6 activator recombinant human IL-6 protein） group （0.8 mmol/L+100 ng/ml）. Proliferation of SW480 cells was detected by CCK-8 and plate cloning experi-ments； apoptosis of SW480 cells was detected by flow cytometry； Western blot was used to detect expressions of proliferating cell nu-clear antigen （PCNA）， Bcl-2-associated X protein （Bax）， IL-6， p-JAK1， p-STAT3 proteins in cells. After the above five groups of cells were co-cultured with natural killer cells NK-92MI， respectively， they were named as CK co-culture group， ALO-L co-culture group， ALO-M co-culture group， ALO-H co-culture group， and ALO-H+activator co-culture group， respectively. Levels of TNF-α and IFN-γ in supernatant and immune killing rate of NK-92MI in the co-culture system were detected. Results: Compared with CK group， OD450 value， clone formation rate， protein expressions of PCNA， IL-6， p-JAK1， p-STAT3 in SW480 cells in ALO-L group， ALO-M group and ALO-H group were decreased， while apoptosis rate and protein expression of Bax were increased， in a dose-dependent manner （P<0.05）； compared with ALO-H group， OD450 value， clone formation rate， protein expressions of PCNA， IL-6， p-JAK1， p-STAT3 in SW480 cells in ALO-H+activator were increased， while apoptosis rate and protein expression of Bax were decreased （P<0.05）； compared with CK co-culture group， levels of TNF-α and IFN-γ in supernatant of cells， and the immune killing rate of NK-92MI cells in ALO-L co-culture group， ALO-M co-culture group and ALO-H co-culture group were increased， and in a dose-dependent manner （P<0.05）； compared with ALO-H co-culture group， levels of TNF-α and IFN-γ in supernatant of cells， and immune killing rate of NK-92MI cells in ALO-H+activator co-culture group were decreased （P<0.05）. Conclusion: ALO may inhibit the proliferation， immune escape and promote apoptosis of SW480 cells by inhibiting IL-6/JAK1/STAT3 signaling pathway. [ABSTRACT FROM AUTHOR]

Objective: To investigate the relationship between serum neuromodulin-1 (NRG1), fibrinogen-like protein 2 (FGL2), fibroblast growth factor 9 (FGF9) and epilepsy after acute ischemic stroke (AIS) and its predictive value. Methods: 450 AIS patients admitted to Longquan Hospital of Sichuan University West China Hospital from January 2021 to March 2022 were selected, and the patients were divided into epilepsy group(n=41) and non-epilepsy group(n=409) according to whether epilepsy occurred after 1 year of follow-up. The levels of serum NRG1, FGL2 and FGF9 were detected by enzyme-linked immunosorbent assay(ELISA). The factors affecting epilepsy after AIS were analyzed by multivariate Logistic regression analysis, and the predictive value of serum NRG1, FGL2 and FGF9 levels for epilepsy after AIS were analyzed by receiver operating characteristic(ROC) curve. Results: Compared with non-epileptic group, the serum levels of NRG1 and FGL2 in epileptic group increased, and the FGF9 level decreased, the difference was statistically significant(P<0.05). Multivariate Logistic regression analysis showed that anterior circulation infarction, the increased infarct area, hemorrhagic transformation, the increase of National Institute of Health stroke scale(NIHSS) score, NRG1 and FGL2 were independent risk factors for epilepsy after AIS, and the increase of FGF9 was an independent protective factor(P<0.05). ROC curve analysis showed that the area under the curve of serum NRG1, FGL2 and FGF9 levels combined to predict epilepsy after AIS was 0.921, which was greater than 0.789,0.779 and 0.795 predicted by serum NRG1, FGL2 and FGF9 levels alone. Conclusion: The increased serum NRG1 and FGL2 levels and decreased FGF9 levels are closely associated with epilepsy after AIS, and the combined detection of serum NRG1, FGL2, and FGF9 levels is of high value in predicting epilepsy after AIS. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Dalian University of Technology / Dalian Ligong Daxue Xuebao is the property of Journal of Dalian University of Technology and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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