The advance of magnetic diagnostics system in support of EAST long-pulsed operation

In EAST long-pulsed discharge(hundreds of seconds),electric magnetic diagnosis(EMD)is very important,since EMD not only monitors tokamak security status but also provides accurate measurement accuracy for reconstruction of the plasma boundary.To avoid current measurement drift,a fiber optic current sensor,based on the Faraday effect,is developed and used for poloidal and plasma current feedback control for the first time,relative current measurement accuracy is within 0.5%.To ensure plasma boundary control accuracy,a detailed set of magnetic measurement calibration methods is developed before the plasma discharge.The maximum relative error is less than 1%,the corresponding control accuracy is within 1 cm.To minimize integrator drift error,a long-pulse integrator test is essential,the corresponding drift error needs to be subtracted in plasma control system.Besides,the saddle coil and Mirnov coil not only help to detect MHD issues,but are also utilized for plasma disruption prediction during the long-pulse discharge.

Fault Diagnosis of Industrial Motors with Extremely Similar Thermal Images Based on Deep Learning-Related Classification Approaches

Induction motors(IMs)typically fail due to the rate of stator short-circuits.Because of the similarity of the thermal images produced by various instances of short-circuit and the minor interclass distinctions between categories,non-destructive fault detection is universally perceived as a difficult issue.This paper adopts the deep learning model combined with feature fusion methods based on the image’s low-level features with higher resolution and more position and details and high-level features with more semantic information to develop a high-accuracy classification-detection approach for the fault diagnosis of IMs.Based on the publicly available thermal images(IRT)dataset related to condition monitoring of electrical equipment-IMs,the proposed approach outperforms the highest training accuracy,validation accuracy,and testing accuracy,i.e.,99%,100%,and 94%,respectively,compared with 8 benchmark approaches based on deep learning models and 3 existing approaches in the literature for 11-class IMs faults.Even the training loss,validation loss,and testing loss of the eleven deployed deep learning models meet industry standards.

Diagnosis and Treatment and Infection Protection Strategy of Osteoporotic Vertebral Compression Fractures Minimally Invasive Percutaneous Kyphoplasty Surgery during the Prevention and Control of COVID-19

Background: As the global novel coronavirus pneumonia (NCP) remains severe, elderly people are at high risk for NCP and osteoporotic vertebral compression fractures, with high complications and mortality. How to treat patients and protect medical staff from infection, and at the same time strictly prevent the occurrence of clustered transmission events in the hospital, the establishment of perfect pre-hospital emergency measures and infection prevention and control strategy is the first element to ensure success. Objective: To establish the diagnosis and treatment and infection protection strategy for Osteoporotic vertebral compression fractures (OVCF) patients undergoing minimally invasive percutaneous kyphoplasty (PKP) surgery during the prevention and control of COVID-19, so as to ensure the stable, orderly and safe medical treatment. Methods: A total of 583 OVCF patients were admitted to the First Affiliated Hospital of Hebei North University during the epidemic prevention and control period from January 2020 to July 2022. After urgent and outpatient strict standardized screening, 382 patients met the inclusion criteria, including 112 males and 270 females, aged (70.50 ± 5.49) years. The preoperative visual analogue scale (VAS) score was 6.92 ± 1.86. Preoperative Oswestry disability index (ODI) was 74.67 ± 4.84. The satisfaction rate was (45.89 ± 3.67) %. According to the clinical diagnostic criteria and classification, 367 patients were diagnosed as ordinary OVCF, including 156 cases of mild compression and 226 cases of moderate compression. The clinical classification of 15 patients with OVCF diagnosed as COVID-19 was type I, including 10 cases of mild COVID-19 and 5 cases of common COVID-19. All patients were treated with PKP. Results: All patients were followed up at 1 day, 1 month and 3 months after operation, VAS (2.01 ± 0.56, 0.45 ± 0.11, 0 ± 0), ODI (45.41 ± 4.15, 10.22 ± 2.73, 4.03 ± 1.57) and satisfaction (90.12%, 95.57%, 99.23%) were significantly improved compared with those before operation (p < 0.05), and the original medical diseases were not aggravated. In this group, 15 cases of OVCF diagnosed with COVID-19 were given priority to treat COVID-19 under strict three-level protection in the designated isolation ward. PKP was carried out after the condition was stable, and the areas, items and personnel in contact with patients during the perioperative period must be strictly and thoroughly disinfected. The patient had a good prognosis, no complications, no cross-infection in the hospital, and no infection rate among medical staff. Conclusions: The implementation of the diagnosis and treatment and infection protection strategy for OVCF patients undergoing minimally invasive PKP surgery during the prevention and control of COVID-19 has a guiding role in preventing the spread of infection, improving the cure rate, promoting rapid recovery, reducing complications and reducing mortality.

Immunohistochemical panel of glypican-3, hepatocyte paraffin antigen-1, arginase-1, cytokeratin-19, and human epithelial membrane antigen for the differential diagnosis of liver tumors

Objective Clinical immunohistochemistry plays an increasingly important role in pathologic diagnosis. We investigated the usefulness of an immunohistochemical panel of glypican-3 (GPC3), hepatocyte paraffin antigen-1 (HepPar-1), arginase-1 (Arg-1), cytokeratin-19 (CK19), and human epithelial membrane antigen (EMA) for the differential diagnosis of liver tumors. Methods Two hundred and thirty-five immunohistochemical sections of hepatocellular carcinoma (HCC;120 cases), intrahepatic cholangiocarcinoma (ICC;50 cases), combined hepatocellular and cholangiocarcinoma (CHC;17 cases), metastatic adenocarcinoma (20 cases), and benign liver lesions (28 cases) were obtained from the Department of Pathology at Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China. The sensitivity and specificity of the combined biomarkers GPC3/HepPar-1/Arg-1/CK19/EMA for the differential diagnosis of HCC, ICC, and CHC were calculated and analyzed retrospectively. Results The combined biomarkers GPC3+/CK19– had the highest specificity (98.3%) for diagnosing HCC, with a sensitivity of 60.0%. The specificity of GPC3–/HepPar-1–/Arg-1–/CK19+/EMA+ for diagnosing ICC was 93.0%, with a sensitivity of 76.0%. The specificity of GPC3+/HepPar-1+/Arg-1+/CK19+/EMA+ for diagnosing CHC was 95.9%, with a sensitivity of 52.9%. Conclusion The combined biomarkers GPC3/HepPar-1/Arg-1/CK19/EMA greatly improved the specificity of liver tumor diagnosis. We believe that clinical pathological work could improve the original determination of liver nodules.

近十五年技术支持环境下的学习动机研究

文章以教育技术领域CSSCI期刊中近15年技术支持环境下学习动机的研究为研究对象,通过使用在文献筛选方式、高频关键词阈值确定、各可视化图表作用及其内在联系等方面加以改进的共词分析法,对其进行文献计量分析,以此确定该领域四个重点研究主题的整体态势与发展趋势;随后通过对典型文献的梳理确定文献分析框架,在此基础上对在线学习中学习动机的四方面研究、面向深度学习的翻转课堂学习动机的三个角度研究、游戏化学习增强学习动机的研究探索、自我决定理论指导下的学习动机研究进展进行评述,在此基础上提出系统化地进行实证研究、重视对学习动机基本问题的探讨、建立多元化的研究工具库、注重复杂技术环境中的学习动机问题研究、探索移动学习中学习动机问题的游戏化解决方案五点建议,以期为后续研究提供参考。

基于OPST框架的“教学先行”智慧教室建构模式探究

智慧教室的建设是教学结构变革的大势所趋,也是教育信息化发展的必经之路。然而,目前的智慧教室建设中使用的“技术先行”建构模式却成为智慧教室真正发挥其“智慧”作用的肘腋之患。因此,设计以“教学先行”为指导的智慧教室建构模式并以此作为智慧教室建设依据,已经成为促进其常态化运行的当务之急。文章厘清两种“技术先行”建构模式及对应的两种成因--缺乏正确理念和缺乏行动指南,并基于此提出以“教学先行”理念为指导、以OPST框架为行动指南的智慧教室建构模式。该模式包括纲领和内容两部分,纲领部分涵盖教学先行理念、智慧教室概念、建设目标,内容部分涵盖智慧教室两方面建设目标、四种智慧教学法、三类空间结构、五层技术模型,以期为建设能真正发挥“智慧”作用、改善日常教学的智慧教室提供参考。

An investigation of the influence of ground surface properties and shading on outdoor thermal comfort in a high-altitude residential area

Landscape elements in residential areas can effectively improve the outdoor thermal environment,with different outcomes depending on the climate conditions.This study explores how the ground surface and shading properties affect the outdoor thermal environment in a high-altitude plateau climate where few studies have been conducted.The measurements were conducted during summer and winter in a residential area in Lhasa,Tibet.Without natural shading such as trees,there is a positive correlation between Sky-view factor(SVF)and Physiological equivalent temperature(PET)during winter and a negative correlation during summer.When SVF exceeds 0.65 in summer,it may cause human discomfort.Compared to artificial shading such as a tensioned membrane,deciduous trees are superior at improving human comfort,as they can increase PET by 10.56℃ in winter and decrease it by 9.73℃ in summer.During summer,high-reflection water-permeable bricks can reduce the PET by 1.08℃,and lawns can reduce the mean rachation temperature(Tmrt)by 1.650C;however,the lawns may produce a microclimate with a high air temperature.The results from this paper can be used as a reference for landscape planning and design in residential areas in high-altitude cold-climate regions.