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154,784 result(s) for "Wei Zhang"
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Progress in ceramic materials and structure design toward advanced thermal barrier coatings
Thermal barrier coatings (TBCs) can effectively protect the alloy substrate of hot components in aeroengines or land-based gas turbines by the thermal insulation and corrosion/erosion resistance of the ceramic top coat. However, the continuous pursuit of a higher operating temperature leads to degradation, delamination, and premature failure of the top coat. Both new ceramic materials and new coating structures must be developed to meet the demand for future advanced TBC systems. In this paper, the latest progress of some new ceramic materials is first reviewed. Then, a comprehensive spalling mechanism of the ceramic top coat is summarized to understand the dependence of lifetime on various factors such as oxidation scale growth, ceramic sintering, erosion, and calcium-magnesium-aluminium-silicate (CMAS) molten salt corrosion. Finally, new structural design methods for high-performance TBCs are discussed from the perspectives of lamellar, columnar, and nanostructure inclusions. The latest developments of ceramic top coat will be presented in terms of material selection, structural design, and failure mechanism, and the comprehensive guidance will be provided for the development of next-generation advanced TBCs with higher temperature resistance, better thermal insulation, and longer lifetime.
Genomic evolution and diverse models of systemic metastases in colorectal cancer
ObjectiveThe systemic spread of colorectal cancer (CRC) is dominated by the portal system and exhibits diverse patterns of metastasis without systematical genomic investigation. Here, we evaluated the genomic evolution of CRC with multiorgan metastases using multiregion sequencing.DesignWhole-exome sequencing was performed on multiple regions (n=74) of matched primary tumour, adjacent non-cancerous mucosa, liver metastasis and lung metastasis from six patients with CRC. Phylogenetic reconstruction and evolutionary analyses were used to investigate the metastatic seeding pattern and clonal origin. Recurrent driver gene mutations were analysed across patients and validated in two independent cohorts. Metastatic assays were performed to examine the effect of the novel driver gene on the malignant behaviour of CRC cells.ResultsBased on the migration patterns and clonal origins, three models were revealed (sequential, branch-off and diaspora), which not only supported the anatomic assumption that CRC cells spread to lung after clonally expanding in the liver, but also illustrated the direct seeding of extrahepatic metastases from primary tumours independently. Unlike other cancer types, polyphyletic seeding occurs in CRC, which may result in late metastases with intermetastatic driver gene heterogeneity. In cases with rapid dissemination, we found recurrent trunk loss-of-function mutations in ZFP36L2, which is enriched in metastatic CRC and associated with poor overall survival. CRISPR/Cas9-mediated knockout of ZFP36L2 enhances the metastatic potential of CRC cells.ConclusionOur results provide genomic evidence for metastatic evolution and indicate that biopsy/sequencing of metastases may be considered for patients with CRC with multiorgan or late postoperative metastasis.
Investigation of physical education classroom teaching using AHP with IV-CIFS-based aggregation operators
Assessing physical education (PE) classroom teaching enhancement through modern technologies remains a difficult task in the present era. The evaluation system contains four fundamental dimensions: student engagement, skill development effectiveness, cognitive impact, and feedback and assessment capability. Multi-attribute decision-making (MADM) is one of the most trending systems for ranking alternatives based on their attributes. The interval-valued circular intuitionistic fuzzy set is an advanced approach for assessing MADM problems, rather than the existing simple circular intuitionistic fuzzy set. The ordinary circular intuitionistic fuzzy set lacks a concept of intervals in membership degree (MD), non-membership degree (NMD), and circular degree (CD), resulting in a significant amount of information being lost. Dombi operations are a valuable approach to improving the precision of aggregated results. The interval-valued circular intuitionistic fuzzy set-based analytic hierarchy process (AHP) provides a structured and objective framework for evaluating various innovative teaching approaches, which can be complex. The evaluation process utilizes interval-valued circular intuitionistic fuzzy set-based AHP to assess three innovative PE teaching methods that help educators and policymakers maximize the effectiveness of their instruction. In the past, various approaches were defined within different fuzzy set-based frameworks; however, they lacked a proper method for evaluating the weightage of alternatives. There is a need to define new concepts using interval-valued circular intuitionistic fuzzy set-based information under AHP for the assessment of vague and uncertain MADM problems. By applying the concept of AHP, Dombi operations, and interval-valued circular intuitionistic fuzzy set, this study develops new theories, including interval-valued circular intuitionistic fuzzy Dombi weighted averaging (IV-CIFDWA) and interval-valued circular intuitionistic fuzzy Dombi weighted geometric (IV-CIFDWG) aggregation operators (AOs). The presence of AHP in the proposed approach makes it unique from other existing MADM approaches. We also investigate some desirable axioms of AOs. We offer an MADM algorithm based on a theory developed for precisely investigating fuzzy information. Solve the numerical problem of selecting the best PE platform using the MADM approach. We are ranking the set of considered alternatives like use of wearable fitness technology; game-based learning technology; video Feedback and performance analysis; task-based cooperative Learning. We noticed that use of wearable fitness technology is the best alternative is achieved by using the IV-CIFDWA and IV-CIFDWG operators. We compare our proposed methods with existing methods to verify their authenticity and accuracy. Lastly, we offer a conclusion.
Fourier transform and the global Gan—Gross—Prasad conjecture for unitary groups
By the relative trace formula approach of Jacquet―Rallis, we prove the global Gan—Gross—Prasad conjecture for unitary groups under some local restrictions for the automorphic representations.
هذه هي الصين : قوة تسير نحو العالم
يركز كتاب \"هذه هي الصين\" على سرد قصص تنمية الصين في العصر الجديد. وقد غير الدكتور تشانغ وي وي طريقته المعروفة بالتوجيه والإرشاد في البرامج الأيديولوجية والنظرية في الماضي، وعبر عنها بلغة شعبية سائغة، وحجج منطقية صارمة، وبيانات حقيقية، وتصادمات صريحة للأفكار، وتقنيات عرض مبتكرة لمساعدة الجمهور على فهم النموذج الصيني والطريق الصيني، وتعزيز ثقتهم بمستقبل الصين.
Face Mask Wearing Detection Algorithm Based on Improved YOLO-v4
To solve the problems of low accuracy, low real-time performance, poor robustness and others caused by the complex environment, this paper proposes a face mask recognition and standard wear detection algorithm based on the improved YOLO-v4. Firstly, an improved CSPDarkNet53 is introduced into the trunk feature extraction network, which reduces the computing cost of the network and improves the learning ability of the model. Secondly, the adaptive image scaling algorithm can reduce computation and redundancy effectively. Thirdly, the improved PANet structure is introduced so that the network has more semantic information in the feature layer. At last, a face mask detection data set is made according to the standard wearing of masks. Based on the object detection algorithm of deep learning, a variety of evaluation indexes are compared to evaluate the effectiveness of the model. The results of the comparations show that the mAP of face mask recognition can reach 98.3% and the frame rate is high at 54.57 FPS, which are more accurate compared with the exiting algorithm.