bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Teaching System of Integrating the Sense of Community for the Chinese Nation into the Aesthetic Education Courses of Colleges and Universities in Ethnic Minority Areas
Authors: Liang Zehao , Li Yanxu
Published: June 2024

Colleges and universities in ethnic areas are one of the main bases for strengthening the education of the Chinese nation community. However, some colleges and universities have problems such as insufficient understanding, incomplete top-level design, lack of teachers and teaching venues, and inadequate follow-up guarantee mechanisms in the process of integrating the consciousness of the Chinese nation community into the teaching system of colleges and universities. This study takes the aesthetic education courses in colleges and universities as the research object, clarifies the value dimension of integrating the consciousness of the Chinese nation community into curriculum development, and proposes targeted suggestions on formulating top-level design to establish institutional guarantees, giving play to the educational function of the environment, strengthening invisible education and training, and establishing a curriculum evaluation system that adheres to the results-oriented approach to continuous improvement.
Has “the Double Hundred Project” Achieved the Professionalization of Talent Teams in Township (Street) Social Work Stations: the Case Study of N Street Social Work Service Station in Guangzhou City
Authors: Cheng Qunpeng
Published: June 2024

The proposal of the Guangdong “Double Hundred Project” has an important promoting effect on the construction of township (street) social work stations and the guarantee of people’s livelihood in the whole province. Whether the policy goal of “building a occupational, professional, and localized social work talent team” proposed in the “Guangdong Double Hundred Project for People’s Livelihood Service Social Work” has been achieved is worthy of joint exploration by the theoretical and practical circles. Based on the analysis of existing research, this article takes N Street Social Work Station in Guangzhou as a case study and finds that the construction of social work stations faces development challenges such as administrative logic leading to the solidification of social work services, alleviating employment leading to an increase in non professional talents, short-term policy formulation due to livelihood security, deviation of professional paths caused by administrative indicators, and detachment of professional content induced by inclusive services. These problems pose challenges to the professionalization of the talent team in social work stations, and require a broader perspective to understand and accept the different expectations of the academic, practical, and government sectors for the professionalization of social work. It is necessary to broaden the understanding of “helping people and helping themselves” in social work, not only following the administrative attributes of the political direction, but also strengthening the professional attributes of the service direction. It is suggested to further promote the professional construction level of the talent team in social work stations by improving the long-term mechanism for purchasing services, strengthening supervision and training effectiveness, improving operational management effectiveness, and expanding career growth space.
Research on the Three-dimensional Value Dimensions of the Cowherd and Weaver Girl Village in Shandong Province’s Rural Revitalization Strategy
Authors: Jiang Jindi
Published: June 2024

In the exploration of the integration of culture and tourism in Shandong’s Yiyuan region in the new era, it is imperative to delve into the protection of intangible cultural heritage resources and the integration of ecological tourism from a deep perspective, effectively assisting in the efficient development of culture and tourism integration in the Yiyuan region of Shandong. This paper examines the three-dimensional value dimensions of the Cowherd and Weaver Girl Village in Shandong’s rural revitalization strategy, namely social value, economic value, and artistic value. As part of China’s traditional folk culture, the Cowherd and Weaver Girl Village in Yiyuan contributes to the inheritance and promotion of traditional culture, which is conducive to the inheritance and development of excellent traditional Chinese culture, enhances the country’s cultural soft power, establishes an industry system led by cultural tourism, drives local economic development, and increases employment opportunities and economic income. At the same time, this paper analyzes the dissemination and influence of the Cowherd and Weaver Girl culture in modern society, pointing out that through the exploration and dissemination of literature and art, it can promote the inheritance and development of traditional culture in modern society, playing an important role in the construction of harmonious social culture. The Cowherd and Weaver Girl Village in Yiyuan, Shandong, has important social, economic, and artistic values in rural revitalization, which need to be strengthened in protection and development, promoting its comprehensive development of local social, economic, and cultural aspects.
Research on Ecological Culture Construction of “the Directly-Entering-socialism Ethnic Groups” Area in Yunnan under the Background of Rural Revitalization: Taking the Reportage Hornbill Apocalypse as an Example
Authors: Guo Ziqian , Su Borong
Published: June 2024

Ecological culture is a model of coexistence between human and nature in the construction of human society, an important result of human reflection on the destruction of nature, and an important part of our country to further promote the sustainable development of rural areas. Taking the directly-entering-socialism ethnic groups in the Hornbill Apocalypse as an example, this study tries to analyze that this area, as a typical poor minority ethnic area in China, has gained certain experience in overall rural planning, strengthening infrastructure construction, and increasing publicity. Thus, it can provide some reference for the further development of ecological culture construction in other minority areas and the directly-entering-socialism ethnic groups.
Research on the Path of Cooperative Teaching to Improve the Teaching Effectiveness of Situation and Policy Course
Authors: Xie Ying , Pan Xiaoyuan
Published: June 2024

The main purpose of applying the cooperative teaching mode to the teaching of ideological and political courses, especially the Situation and Policy course, is to break the single classroom structure, enrich the teaching connotation through multiple teaching subjects and multiple scenes, and at the same time, through the all-round communication between students and teachers, enable students to change from the traditional one-way passive learning to the interactive learning mode. It can be seen from the exploration of teaching reform centered on the Situation and Policy course offered by the College of Marxism of Guangxi University of Finance and Economics that the deep-level diversified cooperative teaching practice carried out from the perspective of “big ideological and political course” can effectively improve the effectiveness of students’ learning Situation and Policy course, and lay a foundation for promoting the construction of “big ideological and political course” through building “big teacher team”, building “ big platform” and making good use of “big classroom”.
Novel Mechanism of SIRT3 Regulation in Cardiac Inflammatory Injury: The Key Role of MITOL
Authors: Li Ping , Wang Lingzhi
Published: June 2024

Background: Myocardial injury is a common heart disease that involves various forms of cell death, including pyroptosis. Lipopolysaccharide (LPS) can simulate the inflammatory response of cardiomyocytes, resulting in their damage. Sirtuin 3 (SIRT3), a mitochondrial deacetylase, has been shown to play a role in cardiac protection. This study aimed to investigate whether SIRT3 mitigates inflammation-induced cardiomyocyte pyroptosis and alleviates LPS-induced myocardial injury via the mitochondrial ubiquitin ligase (MITOL)-dependent mechanism. Methods: Mouse and H9C2 cardiomyocyte models were used to simulate myocardial inflammatory injury by LPS treatment. Cardiac ultrasound, protein expression analysis, mRNA expression detection, and serum biochemical indicators were used to assess the extent of myocardial injury. The EdU experiment was conducted to detect cell proliferation capacity. DCFH-DA fluorescence was used to measure Reactive Oxygen Species (ROS) levels. JC-1 probe analysis was used to assess the aggregate/monomer ratio in different treatment groups. Furthermore, SIRT3 treatment and MITOL silencing experiments were conducted to explore the impact of SIRT3 on cardiomyocyte pyroptosis and whether it functions through MITOL. Scanning electron microscopy experiments were conducted to assess the reversal of the protective effect of SIRT3 by silencing MITOL. Results: The experimental results showed that LPS treatment significantly impaired mouse cardiac function, increased the expression of pyroptosis-related proteins in cardiomyocytes, elevated serum myocardial injury indicators, and increased the mRNA expression of inflammatory factors (tumor necrosis factor-alpha (TNFα) and interleukin-1β (IL-1β)). SIRT3 treatment significantly reduced LPS-induced myocardial injury, improved cardiac function, reduced the expression of pyroptosis-related proteins, and decreased inflammatory factors. Silencing MITOL reversed the protective effect of SIRT3 on cardiomyocyte injury, suggesting that SIRT3 exerted its therapeutic effect through MITOL. Conclusion: This study revealed that SIRT3 mitigated inflammation-induced cardiomyocyte pyroptosis via a MITOL-dependent mechanism, thereby alleviating LPS-induced myocardial injury. This finding provides a new molecular target for the treatment of myocardial inflammation-related diseases and lays a theoretical foundation for the development of cardiac protection strategies. Future research can further explore the potential application of the SIRT3-MITOL axis in cardiac diseases, providing effective treatment methods for cardiac patients.
Using a Novel Machine-Learning Algorithm as an Auxiliary Approach to Predict the Transfusion Volume in Mitral Valve Surgery
Authors: Sang Ruirui , Wu Qianyi , Liu Shun , Wu Kai , Nie Yining , Xia Xingqiu , Ren He , Jiang Mi , Tu Guowei , Rong Ruiming , Wei Lai , Zhou Rong
Published: June 2024

Background: Blood transfusion is an indispensable supportive therapy. It plays a pivotal role in the perioperative management of cardiac surgery. The aim of this study was to develop a model for predicting the transfusion volume in isolated mitral valve surgery. Methods: We gathered data from 677 patients undergoing isolated mitral valve surgery with and without simultaneous tricuspid valve operation. The dataset was partitioned into a training dataset (70%) and a testing dataset (30%). We evaluated 18 machine-learning algorithms, incorporating inputs from 36 demographic and perioperative features. Additionally, the performance of multiple linear regressions was compared with machine-learning algorithms. CatBoost was selected for further analysis, and Shapley additive explanation (SHAP) values were employed to evaluate feature importance. Finally, we explored the impact of various features on the accuracy of CatBoost by analyzing the reasons for misjudgment. Results: CatBoost outperformed all 18 machine learning algorithms with an R-squared value of 0.420, mean absolute error of 0.702, mean squared error of 1.208, and root mean squared error of 1.090, surpassing multiple linear regression. The analysis of the testing group achieved 72.5% accuracy. SHAP identified 20 pertinent features influencing transfusion volume. No significant differences were observed between correctly and incorrectly predicted groups in tricuspid valve repair, American Society of Anesthesiologists classification, or platelet count. Conclusion: CatBoost effectively predicts the intraoperative transfusion volume in mitral valve surgery, aiding clinicians in transfusion decision-making and enhancing patient care.
Factors Influencing the Foreign Direct Investment Inflow in the Service Sector in China
Authors: Hong Ying
Published: June 2024

Background and Aim: With the development of informatization and industrial structure adjustment, the service sector has become an important pillar of many developed countries. However, compared with developed countries, China's service sector doesn’t account for a high proportion of GDP. As a developing country, China still needs foreign capital inflows to help it narrow the gap and promote the development of its service sector. Therefore, identifying the key factors especially digitalization that influence FDI inflow in China's service sector can help them improve the development level of the service sector and economic growth and transformation more quickly.
Materials and Methods: Dunning’s eclectic paradigm is a solid foundation for this paper. This paper applies the ARDL econometric model by using yearly data from 1992 to 2021 to examine factors influencing FDI inflows in the whole service sector in China. The data sources are National Bureau of Statistics of China and the World Bank.
Results: GDP per capita, unemployment rate, and the penetration rate of the mobile phone have significant effects on the inflows of the FDI in China’s whole service sector and the specific industry which is the wholesale and retail trade industry in the long-run and short-run. The results of residuals of the error correction model evidenced that the coefficients in these two models are stable.
Conclusion: Market size, unemployment, and especially the degree of digitalization are key factors influencing the FDI inflow in China’s service sector. The government and policymakers can attract FDI inflow by improving the market economy reform and prompting more job opportunities. At the same time, it is necessary to increase investment in R&D and innovation in science and technology and to emphasize the development of high-tech and knowledge-based industries. More research can be conducted on more service industries in the future.
Tác dụng của cao dán Hoạt lạc HV trên bệnh nhân đau thắt lưng do thoái hóa cột sống
Authors: Nguyễn Tùng Sơn , Nguyễn Tiến Chung
Published: June 2024

Mục tiêu: Đánh giá tác dụng của cao thuốc dán Hoạt lạc HV kết hợp xoa bóp bấm huyệt, điện châm trên bệnh nhân đau thắt lưng do thoái hóa cột sống thắt lưng.
Đối tượng và phương pháp nghiên cứu: Thử nghiệm lâm sàng có đối chứng được tiến hành trên 70 bệnh nhân đau thắt lưng do thoái hóa cột sống tại Bệnh viện Tuệ Tĩnh từ tháng 6/2022 đến tháng 12/2022. Bệnh nhân được chia thành 2 nhóm, mỗi nhóm 35 bệnh nhân: nhóm nghiên cứu (Cao thuốc dán Hoạt lạc HV kết hợp điện châm, Xoa bóp bấm huyệt); nhóm chứng (điện châm, Xoa bóp bấm huyệt).
Kết quả: Nhóm nghiên cứu giảm đau tốt hơn nhóm chứng (điểm VAS tương ứng là 2,60 ± 1,26 so với 3,43 ± 1,42); độ giãn cột sống của nhóm nghiên cứu cải thiện hơn nhóm chứng (điểm Schober tương ứng là 13,64 ± 0,74 13,25 ± 0,74); tầm vận động cột sống thắt lưng và hoạt động sinh hoạt hàng ngày ở nhóm nghiên cứu đều cải thiện hơn so với nhóm chứng. Tỷ lệ điều trị chung ở mức tốt, khá của nhóm nghiên cứu cao hơn rõ rệt so với nhóm chứng (tương ứng 31,43%; 51,43% so với 11,43%; 40,00%).
Kết luận: Điều trị đau thắt lưng do thoái hóa cột sống bằng cao thuốc dán Hoạt lạc HV kết hợp xoa bóp bấm huyệt, điện châm có hiệu quả cao trên lâm sàng.
Nghiên cứu kết quả bài thuốc Thái bình HV kết hợp điện châm điều trị đau vùng cổ gáy do thoái hóa cột sống cổ
Authors: Phạm Văn Ánh , Lê Thị Kim Dung
Published: June 2024

Mục tiêu: Đánh giá kết quả điều trị của bài thuốc Thái bình HV kết hợp điện châm trên bệnh nhân đau vùng cổ gáy do thoái hóa cột sống cổ.
Đối tượng và phương pháp nghiên cứu: Nghiên cứu được thiết kế theo phương pháp can thiệp lâm sàng so sánh trước - sau điều trị và so sánh với nhóm đối chứng. 60 bệnh nhân được chẩn đoán xác định đau vùng cổ gáy do thoái hóa cột sống cổ được điều trị tại Bệnh viện Y học cổ truyền tỉnh Nghệ An từ tháng 4/2022 đến tháng 12/2022.
Kết quả: Sau 20 ngày điều trị, dùng bài thuốc Thái bình HV kết hợp điện châm kết quả điều trị tốt chiếm 76,67%, loại khá 20,00%, loại trung bình 3,33%, không có bệnh nhân đáp ứng kém với điều trị; kết quả này xu hướng tốt hơn nhóm chứng.
Kết luận: Bài thuốc Thái bình HV kết hợp điện châm là phương pháp điều trị đau vùng cổ gáy do thoái hóa cột sống cổ có tác dụng tốt, giúp cải thiện điểm VAS, hiệu suất tăng tầm vận động cúi tốt hơn so với nhóm chứng, sự khác biệt có ý nghĩa thống kê (p<0,05).
Nghiên cứu độc tính cấp và kết quả điều trị đau thắt lưng do thoái hóa cột sống của cao lỏng TK-VNC kết hợp điện châm
Authors: Hồ Công Mệnh , Trần Thị Hồng Ngãi , Nguyễn Thế Anh
Published: June 2024

Mục tiêu: Nghiên cứu độc tính cấp và kết quả điều trị đau thắt lưng do thoái hóa của Cao lỏng TK-VNC kết hợp điện châm.
Đối tượng và phương pháp: 100 chuột nhắt trắng chủng Swiss, cả 2 giống, khoẻ mạnh, trọng lượng 18 - 22g và so sánh trước và sau điều trị trên 60 bệnh nhân được chẩn đoán xác định thoái hoá cột sống thắt lưng theo YHHĐ và Chứng tý thể phong hàn thấp tý kèm can thận hư theo YHCT.
Kết quả: Liều dung nạp tối đa (luôn nhỏ hơn liều chết 50%) của cao lỏng TK-VNC là 183gam dược liệu/kg chuột. Cải thiện chỉ số VAS: sau 30 ngày điều trị hiệu quả giảm đau rõ rệt so với trước đều trị và có ý nghĩa thống kê với 30% bệnh nhân hết triệu chứng đau, 70% bệnh nhân chỉ còn đau nhẹ và không có bệnh nhân nào có tiến triển đau nặng thêm. Sau 30 ngày sử dụng thuốc, cao lỏng TK – VNC không gây các tác dụng phụ trên lâm sàng cũng như cận lâm sàng như thay đổi chức năng hệ thống tạo máu, chức năng gan, thận ở các bệnh nhân rối loạn chuyển hóa lipid máu.
Kết luận:  LD50 của cao lỏng TK-VNC là 183gam dược liệu/kg chuột.
Cao lỏng TK-VNC kết hợp điện châm chứng minh có tác dụng giảm đau, cải thiện vận động và cải thiện chất lượng sống qua thang điểm NPQ trên bệnh nhân đau thắt lưng do thoái hóa cột sống thắt lưng, đồng thời không ghi nhận tác dụng phụ trên lâm sàng, cận lâm sàng.
Đánh giá ảnh hưởng của viên nang ĐTB lên các chỉ số sinh hóa và mô bệnh học của động vật thực nghiệm
Authors: Nguyễn Lê Hải , Nguyễn Duy Tuân , Nguyễn Hoàng Ngân
Published: June 2024

Mục tiêu: Nghiên cứu tính ảnh hưởng của viên nan ĐTB lên các chỉ số sinh hoá và hình ảnh mô bệnh học trên động vật thực nghiệm.
Đối tượng và phương pháp: Thiết kế nghiên cứu đánh giá ảnh hưởng của viên nang ĐTB lên các chỉ số sinh hóa và mô bệnh học của Chuột cống trắng chủng Wistar, giống theo quy định của Bộ Y tế Việt Nam. chuột cống trắng cho uống ĐTB liều 280mg/kg/ngày,và liều 840mg/kg/ngày, trong 90 ngày liên tục.
Kết quả: Trên các lô, cho thấy: Chuột khỏe mạnh, tăng trọng tốt, đều. Không làm thay đổi các chỉ tiêu sinh hóa máu đánh giá chức năng gan, thận (hoạt độ các enzym AST, ALT, Albumin huyết tương, Cholesterol toàn phần, Bilirubin toàn phần, Creatinin) so với lô chứng. Không gây tổn thương mô bệnh học gan, lách, thận.
Kết luận: Viên nang ĐTB dùng trong thời gian 90 ngày không có sự khác biệt có ý nghĩa thống kê so với lô chứng ở các chỉ số sinh hoá máu, hình ảnh mô bệnh học của gan lách thận bình thường.
Cryptocurrency volatility and Egyptian stock market indexes: A note
Authors: Eldomiaty Tarek , Khaled Nada
Published: June 2024

This paper examines the effect of the riskiness of the top four cryptocurrencies on the riskiness of stock market indexes in Egypt, being recognized as a developing country. The analysis uses daily data on cryptocurrencies and the three stock market indexes covering January 2020 to January 2023. The risk is measured using the holding period Value at Risk (VaR). The GMM results show that (a) cryptocurrency volatility is negatively associated with the volatility of stock market indexes. That is, the higher the investors’ interest in trading cryptocurrencies, the lower the volatility of stock market indexes as investors trade stocks less frequently, (b) cryptocurrencies can provide hedge and diversification benefits, and (c) the relationship between volatilities of cryptocurrencies and stock market indexes varies across indexes, therefore, contingent.
Biomass and organic waste conversion for sustainable bioenergy: A comprehensive bibliometric analysis of current research trends and future directions
Authors: Alao Kehinde Temitope , Gilani Syed Ihtsham-ul-Haq , Sopian Kamaruzzaman , Alao Taiwo Onaopemipo , Oyebamiji Damilare Samuel , Oladosu Temidayo L
Published: June 2024

The rising demand for renewable energy sources has fueled interest in converting biomass and organic waste into sustainable bioenergy. This study employs a bibliometric analysis (2013-2023) of publications to assess trends, advancements, and future prospects in this field. The analysis explores seven key research indicators, including publication trends, leading contributors, keyword analysis, and highly cited papers.  We begin with a comprehensive overview of biomass as a renewable energy source and various waste-to-energy technologies.  Employing Scopus and Web of Science databases alongside Biblioshiny and VOSviewer for analysis, the study investigates publication patterns, citation networks, and keyword usage. This systematic approach unveils significant trends in research focus and identifies prominent research actors (countries and institutions). Our findings reveal a significant increase in yearly publications, reflecting the growing global focus on biomass and organic waste conversion. Leading contributors include China, the United States, India, and Germany.  Analysis of keywords identifies commonly used terms like "biofuels," "pyrolysis," and "lignocellulosic biomass." The study concludes by proposing future research directions, emphasizing advanced conversion technologies, integration of renewable energy sources, and innovative modelling techniques.
Cognitive And Communicative Strategies for Building a Modern Scientific and Academic Discourse
Authors: Bereza Liudmyla , Diadiura Galyna , Kolesnyk Daryna , Кukharieva-Rozhko Vitalina , Sydorenko Liudmyla
Published: June 2024

The issue of cognitive and communicative strategies plays a vital role in the formation of modern scientific and academic discourse. It is one of the sources of its further development in the context of modern digitalisation. The research focuses on the quality of using such strategies for argumentation, as well as the consistent and logical presentation of scientific concepts. The article analyses the methodological aspects of the cognitive-communicative strategy and the peculiarities of its use in the linguistics of English. The authors studied the principles and methods of building such strategies and determined the impact of digital technologies on this process. Special attention is paid to the development of the modern scientific environment, key institutions of influence, the activities of some independent researchers, and their interaction with research centres. Through critical analysis, the authors have uncovered the key approaches to constructing, using, and the principles of functioning cognitive and communicative strategies in the linguistics of English. Furthermore, they have identified potential principles for their transformation by the development of digital technologies in scientific research. The article examines the characteristics of the development of academic discourse in English and the emergence of new lexical constructions and neologisms brought about by the digital revolution. The main goal of the research is to outline the prospects for further development of academic discourse in linguistics of English and the possibilities for its enhancement through the use of these technologies. It is proven that the development of general and communicative competencies regarding all types of communicative activity in various areas of language communication is the primary task of linguistics in English.
Potentially Toxic Metals in Cucumber Cucumis sativus Collected from Peninsular Malaysia: A Human Health Risk Assessment
Authors: Chee Kong Yap , Rosimah Nulit , Aziran Yaacob , Zaieka Shamsudin , Meng Chuan Ong , Wan Mohd Syazwan , Hideo Okamura , Yoshifumi Horie , Chee Seng Leow , Ahmad Dwi Setyawan , Krishnan Kumar , Wan Hee Cheng , Kennedy Aaron Aguol
Published: June 2024

The purposes of this study were to assess the concentrations of Fe, Cu, Ni, Pb, and Zn in the cucumber Cucumis sativus from four farming areas of Peninsular Malaysia, to assess the HHRA of the five heavy metals in the collected samples. The cucumber was collected between May and December 2016 from Kg Ara Kuda (Penang), Kg. Sitiawan (Perak), Kuala Ketil (Kedah) and Jerantut (Pahang) of Peninsular Malaysia. For the edible fruity cucumber, the ranges of metal concentrations (mg/kg dry weight) from the four sites were 9.56-13.6 for Cu, 39.5-109 for Fe, 0.18-2.19 for Ni, 0.74-2.78 for Pb and 17.5-62.0 for Zn. All the target hazard quotient values for Fe, Cu, Ni, Pb, and Zn in adults and children were found below 1.00 for the health risk assessment. The present investigation found no evidence of non-carcinogenic hazards associated with the intake of cucumber in relation to Fe, Cu, Ni, Pb, and Zn. However, it is important to regularly evaluate the levels of heavy metals in vegetables cultivated in these soils and adopt appropriate remediation procedures to reduce harmful effects on human health.
A Survey of Studies on Discourse Structure and Relation
Authors: Huang Nianyi
Published: June 2024

Discourse Analysis aims at high-level semantic and structural analysis. Discourse structure analysis and relation recognition are two key tasks in discourse analysis research, while discourse analysis plays an important role in studying the structure and semantic content of texts. This paper firstly introduces the Rhetorical Structure Theory (RST) and the Penn Discourse TreeBank (PDTB) annotation standards and its corresponding resources establishment of each corpus. Then the mainstream models of discourse structure and relation are expounded. In the last part, the opportunities and challenges of discourse analysis are discussed by combining with the mainstream large language model ChatGPT. In addition, the development prospect of discourse analysis is explored by summarizing the related studies.
A Fourier series model and parametric study for single person three-way continuous walking load
Authors: Li Ping
Published: June 2024

The characteristics and mathematical model of the walking load is the basis for studying   human-induced vibration in large-span flexible structures. In this paper, 2842 sets of effective walking load datum were collected by three-way force plate test. The correlation analysis shows that the correlations between the vertical component, the horizontal component and the longitudinal component of the walking load are weak, the Fourier series models of the three directional components of the walking load are established. The model parameters of the dynamic loading factor, the phase angle and the walking frequency function with respect to walking frequency are analyzed statistically, and the function of dynamic load factor and phase angle with respect to walking frequency are obtained respectively. Compared with the existing walking load model, it shows that there are some differences from the former models.
Design and Implementation of a Microblog Public Opinion Visualization System Based on Flask and ECharts
Authors: Liu Yun , Xiao Dong
Published: June 2024

Conducting public opinion analysis on Weibo data is of significant importance to decision-making processes in government, enterprises, and personal contexts. This paper presents the design and implementation of a real-time microblog public opinion visualization system based on Flask and ECharts. The system aims at effectively monitoring Weibo data in real time, performing sentiment analysis, and trend prediction.The system adopts a B/S architecture, employing distributed web crawling techniques to efficiently gather Weibo data. For sentiment analysis, the SnowNLP library is utilized. On the frontend, the ECharts charting library dynamically displays the sentiment data, offering users an intuitive interface and interactive experience.In designing the system, considerations have been given to data processing efficiency, real-time capabilities, scalability, and data security to cater to the diverse needs of different users. By integrating these technologies, the system provides comprehensive insights into the prevailing sentiments, trending topics, and patterns within the vast volume of Weibo content.
Comparative Analysis of Machine Learning Algorithms for Consumer Credit Risk Assessment
Authors: Xu Tianyi
Published: June 2024

In the rapidly evolving landscape of financial technology, machine learning algorithms are increasingly supplanting traditional methodologies for evaluating consumer credit risk. This study leverages a comprehensive dataset comprising 10,000 credit accounts to conduct a comparative analysis of four prevalent machine learning algorithms: Logistic Regression, Decision Tree, Random Forest, and Gradient Boosting Machine (GBM). The results distinctly favor GBM, which achieves an AUC of 0.87, closely followed by Random Forest with an AUC of 0.85. In stark contrast, Logistic Regression and Decision Tree recorded lower AUCs of 0.78 and 0.72, respectively. GBM and Random Forest significantly outperform in classification accuracy, attaining 92% and 90%, respectively, far exceeding the 86% by Logistic Regression and 80% by Decision Tree. Notably, GBM exhibited 95% specificity and 90% sensitivity, efficiently identifying high-risk accounts while minimizing false positives among low-risk categories. Furthermore, the study delves into the handling of imbalanced datasets, interpretability, and computational demands of each algorithm, offering quantifiable insights that inform future directions for optimizing credit risk models, particularly in enhancing transparency and scalability.
Energy-based solution for stiffened slabs-on-grade on expansive soils
Authors: Musa Abubakr
Published: June 2024

The stiffened slab-on-grade (SSOG) is known to be an efficient type of foundations for one to three-story buildings constructed on expansive soils. During its structural design, it is required to optimize the sizes and spacings of the stiffening beams to minimize the differential movement and this can best be achieved by developing an accurate continuous solution (in a functional form). In this study, Ritz method-based bending solution for SSOG is developed considering the tensionless behaviour of the subgrade reaction. The SSOG is treated as a beam on elastic foundation and the heave of the soil is introduced to the problem as an upward pressure. Ritz method formulation is developed with assumed deformed shape of the beam containing unknown constants to be determined from the minimization of the potential energy. Due to the central heave (mound shape) of the soil, there are zones near the edges of the beam with no contact between the beam and the supporting soil (i.e.: zero subgrade reaction). The exact locations of the zero-subgrade reaction zones are unknown initially and a systematic iterative approach is developed to determine their locations. The accuracy of the proposed solution is verified through comparison of the obtained deflection, bending moment and shear force of a selected numerical example with the results of a recently developed finite element-based design approach. In addition to its accuracy, the proposed solution has the advantage of being in a functional form which is useful for optimization purposes and facilitates further investigations of SSOG parameters.
INVERSE DESIGN OF SPINODOID CELLULAR STRUCTURES WITH TAILORED MECHANICAL-HYDRO-THERMAL PERFORMANCES
Authors: Fu Jinlong , Kansara Hirak , Tan Wei
Published: June 2024

In this study, a data-driven computational framework is developed for multi-objective inverse design of spinodoid cellular metamaterials with desired anisotropic properties, which enables us to simultaneously tailor the mechanical deformation, fluid transport and heat transfer performances. Cellular structures with various spinodal topologies are generated within the full design space, and multiple physical properties, including mechanical stiffness, hydraulic permeability and thermal conductivity tensors, are numerically evaluated via finite element analysis and computational fluid dynamics respectively. After having a sufficiently large database, regressional conditional generative adversarial network (cGAN)is used to construct the one-to-many mapping to represent inverse structure-property relations, from which multiple cellular structures can be generated by inputting the target mechanical-hydro-thermal properties. The preliminary results demonstrate that this new computational design framework is an effective tool to deal with stiffness-permeability-diffusivity synergy, expand the tunable scope of multiphysical performances, and tailor spinodoid cellular metamaterials with the desired multi-functionality.
Effects of structure and strain localization in PFEM simulations of CPTu tests in a natural clay
Authors: Oliynyk Kateryna , Ciantia Matteo , Tamagnini Claudio
Published: June 2024

The mechanics of cone penetration in CPTu tests in a silty clay was investigated with the PFEM, using a recently proposed finite deformation plasticity model for natural geomaterials – the FD MILAN model – which incorporates the bond strength Pt as an internal variable quantifying the effects of structure, and is equipped with a characteristic length ℓc to regularize the numerical solutions in presence of strain localization. The results of the PFEM simulations show that the deformations around the piezocone are strongly affected by the characteristic length. In particular, when ℓc/R is sufficiently small, the deformation field may be affected by clearly visible shear bands. The soil around the piezocone is subjected to a very strong destructuration process, which leads to the complete loss of bond strength in a large region around the cone tip and shaft. As a consequence, the use of literature empirical correlations in the interpretation of the CPTu test data in heavily structured soils could result in a significant underestimation of both the undrained strength and the overconsolidation ratio of the soil deposit.
G-PFEM numerical study of the downward trapdoor problem
Authors: Cui Ying , Ciantia Matteo , Kikumoto Mamoru , Previtali Marco
Published: June 2024

The downward trapdoor provides a valuable framework for investigating stress distribution and ground movement during tunnel excavation. Numerous efforts have been made to devise analytical methods based on experimental observations. The area above the trapdoor experiences gravitational flow, and it becomes an active soil pressure condition with the lowering of the trapdoor. Due to the substantial discontinuous movement between the trapdoor and the adjacent stationary support, significantly discontinuous deformations arise at the boundary between the active zone above the trapdoor and the stationary zone. This complexity renders the trapdoor problem challenging by traditional continuum analysis methods. To confront this challenge, the present study employs the Particle Finite Element Method for geotechnical applications (G-PFEM) to simulate The downward trapdoor problem. The effectiveness of this approach is demonstrated by replicating a model experiment included in the literature. The simulation captures the gravitational flow of the surrounding ground as the trapdoor descends, and the numerical results, encompassing stress distributions, ground displacements, and surface settlements, closely correspond to experimental data. Moreover, to underscore the advantages of employing G-PFEM, a larger displacement is applied to the trapdoor. The results indicate significant changes in ground displacement and corresponding earth pressure as the trapdoor displacement increases, ultimately leading to substantial slope failure like large deformation.
Spatial Variability of Soil Properties in Saudi Arabia: Estimation of Correlation Length
Authors: Zhang Kun , Lloret-Cabot Marti , Zhang Whangcheng , Kourdey Alaa
Published: June 2024

Spatial variability of soil properties plays an important role in geotechnical engineering, influencing the design and performance of geo-structures. This study investigates the characterisation of this spatial variability by examining in-situ soil data obtained from 74 Cone Penetration Tests (CPTs) conducted in a reasonably homogeneous granular fill of a large construction project in Saudi Arabia. The primary focus of this work is to assess, from the available in-situ CPT data, the spatial variability of this sand fills in terms of the vertical correlation length (θv). The autocorrelation function (ACF) method is used to estimate θv, and the geo-statistical patterns of all estimated θvs are analysed through the values of its mean (µ), standard deviation (σ), coefficient of variation (CoV), and fitted probability density function (pd f). An assessment of the accuracy in the estimated θvs is then carried out from the statistical analysis of 1,000 one-dimensional (1−D) random fields with spatial statistical information similar to the in-situ fill. The study shows that as much as 25% error can be expected for the specific depth (D = 10m) and sampling interval (dx = 0.01m) of the 74 CPTs considered.
Study of Landslides through a Stabilised Semi-Implicit Material Point Method
Authors: Xie Mian , Navas Pedro , López-Querol S
Published: June 2024

In this research, a new semi-implicit two-phase double-point material point method is proposed, in which the soil and water phases are modelled using two distinct sets of material points, both being stabilised with a novel approach. The Nor-Sand constitutive model is implemented to simulate more realistic soil behaviour. Some landslide numerical examples are presented to investigate the performance of the proposed method and highlight the importance of using the double-point approach. The formulation with two sets of material points shows significantly different but more reliable results in the cases of landslides, compared with the conventional single-point approach. Furthermore, this research shows that the additional computational cost given by the additional water material points is acceptable. Therefore, it is recommended to use two sets of material points for some large deformation geotechnical problems.
Consequences of Terzaghi’s effective stress decomposition in the context of finite strain poro-mechanics
Authors: Pretti Giuliano , Coombs William , Augarde Charles
Published: June 2024

Poro-mechanics is a branch of mechanics considering the hydro-mechanical behaviour of a porous solid medium whose pores are saturated by a fluid. The presence of both these constituents significantly influences the overall macro-response of the material. Regardless of the application, Terzaghi’s effective stress decomposition is a well-established hypothesis regarding how the total stress tensor is decomposed into a part directly related to strain (effective stress) and a part borne by the fluid phase (interstitial pressure). The assumption of an incompressible solid medium physically justifies Terzaghi’s effective decomposition. However, under the further assumption of finite strain mechanics, a more restrictive constraint on the volume change arises, which the vast majority of formulations neglect. This work details how disregarding this constraint on the volume change can lead to the violation of solid mass balance, which can be counted among the fundamental principles of continuum mechanics. Furthermore, to address this issue practically, an ad hoc stress-strain relationship is designed to respect Terzaghi stress decomposition and solid mass balance in the context of finite-strain hyper-elasticity.
Development of a Numerical Framework for Simulation of Aquaculture Systems
Authors: Mi Shuo , Avital Eldad
Published: June 2024

A new integrated numerical framework is developed for simulating the fluid-structure interaction of aquaculture systems. The framework is based on our previous OpenFOAM formulation [1], while being coupled with a lumped mass-mooring model, MoorDyn [2], and a finite-element structural solver, EndoBeams [3]. Turbulent flow effects are dealt with using an incompressible fluid solver with a volume of fluid surface capturing method. The motion and deformation of the flexible nets are calculated using the screen and mass-spring methods. MoorDyn is used for simulating mooring lines while EndoBeams are used to calculate the deformation of other components of the aquaculture system, such as collars and frames. The coupling of all the components follows a loose-coupling method. The immersed boundary method is employed for the interactions between the fluid and all components of the aquaculture system. Fluid particle dynamics is also modelled using the Eulerian-Lagrangian to simulate fish disease waterborne transmission within aquaculture system area. The framework has been validated with extensive experimental data from the literature and is demonstrated as a robust tool to simulate the complex fluid-structure-particle dynamics of aquaculture systems.
Computational modelling of failure of welded joints in hydrogen transport pipelines
Authors: Mandal Tushar , Parker Jonathan , Gagliano Michael , Martinez-Paneda Emilio
Published: June 2024

We present a computational framework that combines the welding process model and coupled deformation-diffusion-fracture model to predict the structural integrity and potential failure modes of hydrogen transport pipelines. In this study, we specifically focus on the seam welds, which are particularly vulnerable regions in pipeline infrastructure. Initially, the developed model is validated against experimentally observed R-curves of pipeline steels in hydrogen environment. Subsequently, we employ this modelling framework to investigate the mechanisms behind failure in seam welded joints, aiming to comprehend the influence of existing defects, microstructural heterogeneity, and residual stresses. Our findings reveal that the H2 fracture pressure of the pipeline may decrease to as low as 15 MPa under realistic critical conditions. These results bring new mechanistic insight into the viability of repurposing the existing natural gas pipeline network for hydrogen transportation. Furthermore, the presented computational model enables mapping the conditions that ensure the safe transport of hydrogen.
A phase-field model of mechanically-assisted corrosion of bioabsorbable metals
Authors: Kovacevic Sasa , Ali Wahaaj , Martinez-Paneda Emilio , Llorca Javier
Published: June 2024

Magnesium alloys exhibit great potential for use as implants that gradually and entirely dissolve in the human body after healing. Rapid corrosion in body fluids and the susceptibility to pitting corrosion and stress corrosion cracking are the main reasons limiting the widespread use of Mg alloys as a biodegradable material. The concurrence of mechanical loading and a corrosive environment dramatically accelerates the corrosion rate and promotes crack propagation, leading to the sudden failure of implants. A phase-field model is developed to simulate the corrosion of bioabsorbable metals in biological fluids. The model incorporates both Mg dissolution and the transport of Mg ions in solution. The framework captures pitting corrosion and incorporates the role of mechanical fields in enhancing the corrosion of biodegradable metals. The model is validated against in vitro corrosion data on Mg alloys immersed in simulated body fluid. The potential of the model to capture mechano-chemical effects is demonstrated by considering bioabsorbable coronary stents subjected to mechanical loading. The results show that pitting severely compromises the structural integrity of the stent and the application of mechanical loading initiates a pit-to-crack transition and crack propagations, leading to premature fracture after a short time in solution. This work extends phase-field modeling to biomaterial degradation and provides a novel mechanistic tool for assessing the service life of bioabsorbable medical devices
A numerical flume with enhanced momentum conservation for the two-phase flow simulation
Authors: Wang Xindong , Reeve Dominic , Luo Min , Karunarathna Harshinie , Horrillo-Caraballo Jose
Published: June 2024

The numerical simulation of two-phase flow with Navier-Stokes equations is often hampered by the instabilities rises across the interface of the different fluids. The interfacial gradient of velocity and density leads to the unphysical momentum change, resulting in an ill-defined velocity field and twisted interface. To deal with this problem, we developed an interfacial treatment which enhances the interfacial continuity of momentum (EMC treatment) [1]. Charactered by a momentum-based velocity reconstruction process and a strong coupling scheme between the N-S equation solving and interface capturing, the proposed EMC treatment can mitigate the interfacial instability and improve the accuracy and smoothness of the interface. An FDM-based flume with the EMC treatment is established based on the open-source REEF3D code [2]. Cases have been simulated for validation of EMC treatment, including pure numerical cases with idealised settings, as well as the experiments with highly deformed breaking wave [3], to demonstrate its effectiveness.
Micromechanical Computational Analysis of Debonding and Kinking in Microscale Composites
Authors: Hamzah Faiz , Curiel-Sosa Jose
Published: June 2024

Composites are widely utilized across various industries due to their exceptional properties, allowing design flexibility and complexity. There are different scales of composites numerical study, and this study aims to understand the damage mechanisms observed in microscale composites undergoing transverse compressive load. This understanding is achieved through prediction via simulation and micromechanical computational analyses. Based on previously conducted experimental studies, Zumaquero et. al. studied different stages of damage progression through microscopical inspection of the tested coupons[1]. The compressive failure behaviour of composites in the transverse direction was observed, revealing the preferential debonding angle is between 70 to 80°. Subsequently, the growth of the interface debonding failure becomes stable, and the kinking angle towards the matrix was found to be between 50 to 60°, consistent with the numerical predictions by Correa et al. using the Boundary Element Method (BEM) [2]. These findings motivate the current study, where a UD RVE model with a periodic boundary condition (PBC) is developed using the random sequential algorithm (RSA) and the angles of debonding and kinking failure are observed. To predict the onset of matrix cracking and the crack propagation, the extended FEM modelling approach [3] is used and the LaRC05 failure criterion is implemented through a compiled UMAT. The Drucker-Prager model served as the constitutive law for matrix yielding behaviour, while cohesive elements were assigned to predict the debonding failure of the fibre-matrix interface. In addition, the Phase-Field Fracture (PF) method is also used to predict matrix cracking behaviour and the results from both LaRC05 and PF are compared to investigate the efficiencies of both methods. The study concludes that the initial direction of failure predicted agrees with that microscopically observed in experiments. This research aims to contribute to the development of computational tools leading eventually to more resilient and precisely engineered composites for diverse applications.