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Research on the Construction of a Long-term Mechanism for Graduate Academic Integrity Based on Embeddedness Theory
Get PDFIntegrity serves as the core value in the construction of graduate academic atmosphere and scientific research work, playing a pivotal role in shaping a favorable academic environment, promoting the healthy development of scientific research, and constructing a modernized higher education system. The construction of a long-term mechanism for graduate academic integrity should be grounded in the theory of embedded integrity, exploring China's modernized long-term mechanism for graduate academic integrity through reforms in academic integrity culture mechanisms, upgrades in collaborative governance mechanisms for academic integrity, and strengthening of academic integrity supervision mechanisms
Teaching Practice Research of Scaffolding Instruction in Secondary Vocational Mechanical Courses
Get PDFAgainst the backdrop of vocational education reform and manufacturing industry upgrading, which have heightened talent requirements, this study addresses challenges in secondary vocational mechanical courses, including students' weak logical coherence, insufficient self-directed learning abilities, and poor initiative in seeking help. Grounded in Constructivism and the Zone of Proximal Development (ZPD) theory, scaffolding instruction is introduced into the teaching practice of these courses. Considering the pedagogical characteristics of secondary vocational mechanical curricula, a systematic framework is designed focusing on three dimensions: principles for scaffold construction, scaffold types, and scaffold adjustment strategies. Building upon the fundamental elements of scaffolding instruction and implementing adaptive modifications, a tailored scaffolding teaching process for secondary vocational mechanical courses is developed. Empirical implementation demonstrates that scaffolding instruction effectively enhances students' abilities in autonomous knowledge construction, collaborative learning, and problem-solving, thereby providing a referential pathway for the reform of mechanical engineering curricula in secondary vocational education
Enhancing Lifelong Learning and Graduate Employability in Teacher Education Programs: ADDIE Framework Approach
Get PDFThe COVID-19 pandemic highlighted the need for cognitive, creative, social, and emotional skills alongside technical abilities in response to a changing work environment. This study applied Reeler's (2007) Theory of Change to explore strategies for fostering lifelong learning in teacher education programs at Kenyan universities, using the ADDIE framework for program revision. The study's objectives were to: (i) identify mechanisms that promote lifelong learning, (ii) assess the role of industry partnerships in enhancing graduate employability, and (iii) develop a framework for revising teacher education programs. A concurrent triangulation approach with a descriptive survey design was used across four universities, involving deans, heads of sections, and students. The findings revealed that effective policies and organizational support are crucial for nurturing lifelong learning and strengthening industry partnerships. Aligning teacher education with industry needs requires continuous engagement from stakeholders, supported by policies ensuring adequate teacher supply, proper candidate selection, and equitable distribution, especially in underserved areas. These practices are vital for improving education quality and accessibility, contributing to long-term national development goals
Innovative Models and Development Prospects of Green Financial Technology
Get PDFGreen Financial Technology (Green FinTech), as an innovative field integrating financial technology with sustainable development concepts, is reshaping the ecological landscape of the global financial industry. This study systematically explores the application models of big data analytics, blockchain, artificial intelligence, and the Internet of Things (IoT) in green finance, revealing their unique value in optimizing resource allocation, strengthening environmental risk management, and promoting green investment. By analyzing global development trends and typical case studies, this paper identifies technological innovation, policy coordination, and market cultivation as key drivers for the sustainable development of this field, while also examining core challenges such as data governance, technological bottlenecks, and fragmented regulation. The research provides theoretical support and practical guidance for building a more efficient and transparent green FinTech system
Analysis of Vanke's Enterprise Development Strategy from the Financial Perspective
Get PDFWith the rapid growth of China's economy, most industries are growing at a relatively high rate. Since the beginning of my country's reform and opening up, the theory of commercial housing has gradually emerged. With the increasing progress of real estate-related institutional reforms, the real estate market has begun to flourish. Driven by the vigorous population growth and economic development, the development of real estate enterprises has become the main driving force for my country's GDP growth. one of the sources. Under the background of the steady decline of the national economy, the supply-side reform and the overall stable development of the real estate market, it is particularly important for enterprises to formulate appropriate strategies if they want to improve their market competitiveness and sustainable development in the face of extremely fierce competition. The current real estate enterprise is a highly regional capital-intensive industry, which can also drive the rapid development of the furniture and home appliance sales industry and the furniture industry. Real estate is an important force that can drive the development of the national economy. In addition, China's real estate industry presents obvious industrial characteristics: resource-intensive, high-income, and obvious regional characteristics. Under the above background, from the perspective of financial reporting, the company's development strategy has become an urgent need for the healthy development of every real estate company in China. How to correctly conduct financial analysis and formulate effective strategies are urgent for Chinese real estate companies. This paper selects Vanke Group as the research object. Vanke can be said to be a leading company in the real estate industry, and the analysis data will be more representative. The article first introduces the background of Vanke, compares a series of changes in Vanke's development strategy and the strategy that is currently being selected, and then uses SWOT theory to analyze Vanke's advantages, disadvantages, opportunities and threats. It pointed out the reasons why Vanke chose the specialization strategy, and then made an in-depth analysis of Vanke's current strategy from the three financial perspectives of the balance sheet, income statement and cash flow statement, and further obtained the reasons for the success of Vanke's development strategy. Some suggestions for development also hope to attract the attention of other real estate industries, so as to improve and optimize their own corporate strategies, and promote a more positive and healthy development of the entire real estate industry
Mapping Changes in the Peatland of Ngamakala, Republic of Congo
Get PDFPeatlands, a type of wetland, act as a natural carbon store, which, when left undisturbed, prevent, this carbon from further warming the global climate. However, these peatlands, in the Republic of Congo are subject to numerous anthropogenic pressures. Improvements have been made using Sentinel-2 multispectral images between 2017 and 2023 in the Ngamakala peatland forest. We applied a Machine Learning (ML) model using the Random Forest (RF) algorithm to map changes over the period studied. The methodology involved preprocessing Sentinel-2B images, creating training samples, designing the ML model, and then predicting (classifying) and validating the results. The overall accuracies of the classifications range from 91% to 96%. The time series classifications show large changes in land cover type through time. This is owing to anthropogenic activities that are threatening to the Ngamakala peatland forest. We recommend that the authorities take action to protect this site, which is almost 25,000 years old
Neural Network Implementation for CRC Awareness Prediction
Get PDFArtificial Intelligence (AI) is prevalent, driven by the resurgence of machine learning (ML) and advancements in data-driven applications, which have created new opportunities to surpass traditional statistical limits in health analytics. This study develops and assesses a deep artificial neural network (ANN) to predict public awareness of Colorectal Cancer (CRC) using six demographic and socioeconomic factors: age, gender, marital status, educational level, work status, and place of residence. Primary data were collected through a survey administered to a sample of 1,229 Lebanese individuals.We systematically describe the data preprocessing steps, including handling missing values, encoding categorical variables, and scaling features. We specify the model architecture, which includes input, output, and one or more hidden layers, along with training optimization methods such as class weighting, early stopping, and learning rate scheduling. The model is evaluated using thorough cross-validation and held-out testing, with metrics like discrimination and calibration assessments, including accuracy percentages and confidence scores. An explainability technique, including feature importance analysis, is employed to enhance transparency. The proposed network demonstrates reliable binary classification performance while emphasizing interpretability, deployment readiness, and the reproducible integration of machine learning into healthcare analytics
On the Translation of Culture-Loaded Words in My Old Home from the Perspective of Eco-Translatology
Get PDFBased on the theoretical framework of Eco-Translatology, this paper examines the translation strategies adopted by Yang Xianyi and Gladys Yang in rendering culture-loaded words in Lu Xun's My Old Home into English. Drawing on Nida's taxonomy of culture, the study conducts an in-depth analysis of how the translators achieve a three-dimensional transformation: linguistic, cultural, and communicative through a dynamic process of "adaptation and selection" across four cultural dimensions: ecological, material, social, and linguistic. The findings reveal that the translators employ differentiated strategies for different types of culture-loaded words, successfully preserving the cultural identity of the source text while taking into account the acceptability of target-language readers, thus achieving an effective balance between cultural authenticity and communicative effect. This study not only demonstrates the explanatory power of Eco-Translatology in literary translation research but also offers practical insights for cultural transmission through the translation of Chinese literature
A Study on Cognitive Processes in Literary Translation of The Winter Scene in Jiangnan from the Perspective of Think-Aloud Protocol
Get PDFThis study adopted the Think-Aloud Protocol (TAP) to collect corpus data on the translation processes of The Winter Scene in Jiangnan by three groups of translators with varying experience levels (an English teacher, a translation master’s student, and an undergraduate student). Through the quantitative analysis of cognitive strategy differences using a three-dimensional coding system, the results show: 1) the frequency and accuracy of free translation for culture-loaded words increase significantly with translation experience; 2) there is a strong negative correlation between grammatical error rates and the frequency of meta-cognitive thinking; 3) the dynamism of image transformation strategies exhibits a positive correlation with translation experience. The study indicates that the Think-Aloud Protocol can reveal cognitive differences of translators, and translation experience promotes the systematization of translation strategies
Navigating Liminal Spaces: The Study of the Diasporic Identity in Yann Martel’s Life of Pi
Get PDFYann Martel’s Life of Pi reflects a diasporic Indian boy’s transnational experiences from India to Canada. This paper reads the novel as an immigrant narrative in a framework of liminality and diaspora, explores how post-colonial immigrants construct their hybrid, fluid and dynamic national identity in a multicultural society. Through an examination of Pi’s diasporic emotions and agency in the liminal spaces of Pondicherry and the lifeboat, this paper highlights the struggles and aspirations of Indian immigrants, illustrating Martel’s engagement with multiculturalism and his reflections on constructing multicultural identities for contemporary immigrants from the Third World