Context-Aware Multimodal Feedback System for Enhancing Outcomes-Based Education in Mechanical Engineering

We propose a context-aware multimodal feedback system designed to enhance Outcomes-Based Education (OBE) in mechanical engineering by dynamically adapting feedback modalities to individual learning contexts and performance. The system integrates cognitive diagnosis models to assess student proficiency and an environment-aware modality selector to determine the optimal feedback form, such as visual annotations, haptic cues, or interactive 3D simulations, depending on whether the learning occurs in physical laboratories or digital platforms. A Transformer-based architecture synthesizes personalized feedback by combining diagnostic outputs with contextual data, enabling precision-tailored support for complex engineering concepts. The proposed method replaces conventional static assessment reports with adaptive, multimodal feedback, thereby addressing the limitations of one-size-fits-all approaches in OBE. Furthermore, the system leverages state-of-the-art technologies, including probabilistic programming for scalable cognitive diagnosis and physics-accurate simulations for immersive learning experiences. Experimental validation demonstrates its effectiveness in improving student engagement and mastery of mechanical engineering principles. This work contributes a unified framework that bridges cognitive assessment, environmental context, and multimodal feedback, offering a scalable solution for personalized engineering education. The results highlight the potential of adaptive feedback systems to transform traditional OBE practices by aligning instructional support with individual learning trajectories and real-world engineering scenarios

Optimization of Extraction Process for Tea Polyphenols from Tea Seed Cake and Study on Their Antibacterial Properties

Tea polyphenols are a natural antioxidant with a wide range of biological activities, and the extraction process of tea polyphenols was optimized by supercritical extraction technology using tea dry cake as raw material, and its antibacterial properties were discussed. The extraction conditions were optimized by single factor experiment and response surface method, and the optimal process parameters were determined as follows: extraction pressure 25 MPa, extraction temperature 50°C, extraction time 90 minutes, and CO₂ flow rate 20 L/h. Under these conditions, the yield of tea polyphenols reached 15.2%. Antibacterial experiments showed that tea polyphenol extract had a significant inhibitory effect on Escherichia coli and Staphylococcus aureus, with the minimum inhibitory concentration (MIC) of 0.4 mg/mL and 0.6 mg/mL, respectively. This study provides a theoretical basis for the high-value utilization of tea cake

Definition of the scope of property exempted from the localized personal insolvency regime

With the development of commodity economy, borrowing and lending consumption is more and more common. In this consumption pattern, the debtor is very easy to fall into the vicious circle of insolvency. In the individual, the society is a great impediment to the development of exempted property is the most constructive, one of the most innovative approach to personal bankruptcy, its emergence helps the debtor to get rid of the debt dilemma, and promotes a fresh cycle of the social economy. At this point, the definition of the scope of the exempted property is crucial, and it is essentially a product of the game between creditors and debtors around their own interests. Since there are differences in defining the scope of exempted property in different countries due to the level of economic development, politics, history and other factors, it is necessary to draw on extraterritorial legislation and base on China's national conditions when constructing the system of defining the scope of exempted property in China in order to effectively safeguard the balance between the interests of the debtor and the creditors. The main purpose of the exemption system is to ensure that the debtor's basic living and production activities can be sustained. Based on this purpose, balance and flexibility fit the necessary nature of our national conditions, while at the same time safeguarding the property of the debtor's personal exclusivity, in order to respect the basic rights of the debtor as an independent individual. There are a number of possible routes for specifying the scope of exempted property. One is to adopt a single amount, directly setting a fixed amount as the standard amount of exempted property. The second is to combine the type of property with the amount, starting from the type of property and matching the corresponding amount with the characteristics of different types of property. The third is to set a special amount for specific properties, that is, for some special properties, special planning for a specific amount of range. In practical application, each country should be allowed to flexibly choose the method of determining the amount that suits the actual situation of the country based on its own national conditions, legal system and socio-economic situation and other factors

Mechanized Transformation in Shellfish Aquaculture: Practical Challenges and Intelligentization-Driven Breakthrough Pathways

Under the dual pressure of global aquatic resource constraints and the transformation to a low-carbon economy, intelligent technologies are reshaping the underlying logic of the shellfish farming industry. This paper systematically constructs a three-dimensional analysis framework of "technology - ecology - governance". Through horizontal comparisons of 12 countries and vertical analyses of 38 technological innovation cases, it reveals the three core contradictions of intelligent transformation: regional imbalance in technology supply, ambiguity of rights and responsibilities in data governance, and intergenerational conflicts in benefit distribution. Research has found that China's shellfish industry has achieved partial leadership in areas such as offshore aquaculture robots and AI disease early warning through the "scene-driven innovation" model. However, shortcomings such as a domestic sensor production rate of less than 20% and a digital skill compliance rate of only 11.3% among practitioners are restricting the overall transformation. Propose breakthrough paths such as establishing an "Intelligent Fishery innovation community", piloting a digital twin system for sea areas, and promoting carbon sink credit trading, providing a Chinese solution for the intelligentization of global shellfish farming

Construction of a Large Language Model-Driven Online Programming Experiment System and Research on Active Learning Paradigm Transformation

Traditional online programming teaching platforms have significant deficiencies in supporting the development of students' abilities. The core issue is concentrated on the unidirectional nature of the evaluation system: it cannot effectively assess engineering elements such as code standardization, style uniformity, and runtime efficiency, nor can it provide students with in-depth suggestions for improvement. To break through this limitation, this paper constructs a new generation of online programming experiment platforms based on large language model technology. The platform can analyze students' code logic in real-time, generate targeted error correction suggestions, explanations of knowledge points, and optimization plans, and supports language interaction to help students quickly understand programming concepts. Experiments show that the platform significantly improves students' programming practice abilities, confirming its value in programming education. It provides an expandable technical solution for the innovation of programming education models and is of great significance in promoting the transformation of programming education from passive infusion to active exploration

Discourse Expression of Gender Differences in English Language —— Taking legally blonde as an Example

In linguistic academic research, gender differences are often reflected in discourse patterns, vocabulary selection, and intonation. This paper focuses on the discourse expression of gender differences in the English language, using the film Legally Blonde as a specific case study. The dialogues of different gender roles in Legally Blonde exhibit typical characteristics. Through the analysis of this film, it is found that male discourse tends to be more direct, concise, and authoritative, while female discourse contains more emotional nuances and euphemistic vocabulary. From a pragmatic perspective, this difference effectively reflects societal role expectations for different genders. Through an in-depth study of the character dialogues in the film, this research helps reveal the forms of gender differences in English discourse expression, providing new perspectives for better understanding the relationship between gender and language in cross-cultural communication and language learning, as well as offering a reference for eliminating language biases caused by gender

Hydrological controls on nutrient dynamics and load estimation in an agricultural watershed: a case study in Rock Creek, Ohio

This study investigates the spatiotemporal variability of nutrient concentrations (soluble reactive phosphorus, SRP; total phosphorus, TP; and nitrate, NO₃⁻) and their relationships with hydrological conditions in the Rock Creek watershed, a representative agricultural basin in northwestern Ohio. High-temporal-resolution water quality and discharge data were analyzed over a two-year period (2010–2011) to elucidate seasonal trends, flow-nutrient correlations, and to compare nutrient load estimation methods. The results demonstrate that nutrient transport in the watershed is strongly event-driven, with SRP and TP concentrations peaking during high-flow periods (spring snowmelt and summer/fall storms), exhibiting significant positive correlations with discharge (log-transformed R² = 0.27–0.47). In contrast, nitrate concentrations displayed a distinct seasonal pattern, with a spring flush followed by declining concentrations, suggesting depletion of legacy storage. Notably, flow-weighted mean concentrations (FWMC) exceeded arithmetic means by 2–3 times, revealing that conventional averaging methods underestimate nutrient loads during high-flow events. These findings emphasize the dominance of non-point source pollution during episodic runoff events and underscore the need for targeted management strategies to mitigate nutrient pollution in similar agricultural watersheds

Research on the challenges and countermeasures of applying artificial intelligence in green supply chain management

The global proliferation of sustainable development principles has elevated Green Supply Chain Management (GSCM) to a critical position within corporate environmental governance and strategic management frameworks. Concurrently, the accelerated advancement of artificial intelligence (AI) technologies has emerged as a transformative catalyst for supply chain digitalization. The integration of AI in GSCM demonstrates significant potential for enhancing environmental performance, optimizing resource utilization efficiency, and facilitating carbon neutrality objectives. Nevertheless, this technological convergence presents substantial implementation challenges across multiple dimensions. This study conducts a comprehensive examination of the principal barriers hindering AI adoption in GSCM through data, technology, organization, and ethics, while proposing targeted mitigation strategies and optimization approaches. The research outcomes aim to contribute both theoretical foundations and practical implementation guidelines for enterprises pursuing sustainable transformation and intelligent supply chain modernization

Models and Mechanisms of Effective Rural Operation for Promoting Common Prosperity: A Longitudinal Case Study of the "Guzhu Model" from a Symbiotic Perspective

Achieving common prosperity for all people is the essential requirement of Chinese-style modernization, and the weakest key link at present is the common prosperity of farmers and rural areas. Taking Guzhu Village in Changxing County as a typical case, this paper adopts the longitudinal single case study method to explore the process, operation mode and mechanism of the village's road to common prosperity from the perspective of symbiosis theory. The results show that: (1) Guzhu Village has experienced different stages of development in the process of common prosperity, and each stage has produced different symbiotic effects. Individual villagers have given birth to the bud of rural development, but their lack of knowledge, cognition and management ability can't achieve high-quality rural development. The gradual participation of the government, associations and operating companies has injected new energy into promoting rural areas towards common prosperity. (2) The village focuses on multiple symbiotic subjects and operates collaboratively with the help of symbiotic environment. Effective collaboration between symbiotic units has become the key to rural common prosperity. The symbiotic model respects the core position of villagers, effectively promotes the participation and recognition of all villagers, turns the ecological advantages and resource advantages in the village into economic advantages and development advantages, and realizes the villagers' material wealth, spiritual and cultural wealth and ecological harmony in the village. Research suggestions: In the process of rural development, we can inject new energy into the village by maintaining the dominant position of villagers, introducing new units such as operating companies, making full use of resource endowments to broaden the path of increasing income and getting rich, giving full play to the synergy among symbiotic units, and jointly strengthening the rural collective economy

Exploring the Role and Value of the Twenty-four Solar Terms in the Construction of Modern Ecological Civilization: The Case of the Food Preparation in Li Ziqi's short videos

The Twenty-four Solar Terms, a fundamental aspect of traditional Chinese culture, embody ecological wisdom and cultural values that have been passed down for centuries. While their practical function in guiding agricultural activities has diminished due to modern technological advancements and regional diversity, their symbolic significance remains highly relevant. This paper explores the role of the Twenty-four Solar Terms in the construction of modern ecological civilization through an analysis of Li Ziqi’s videos. By showcasing traditional food preparation, farming practices, and seasonal customs, Li Ziqi revitalizes these ancient traditions, making them accessible and appealing to modern audiences. Her videos not only promote Chinese cultural heritage to international viewers but also inspire younger generations to reconnect with traditional wisdom. Furthermore, her depiction of sustainable agricultural methods and resource-efficient lifestyles aligns with the core principles of ecological civilization, emphasizing harmony between humans and nature. This study argues that the value of the Twenty-four Solar Terms lies beyond their direct agricultural applications; they serve as a cultural framework for fostering ecological awareness and sustainable living. Through Li Ziqi’s modern reinterpretation, these solar terms continue to influence contemporary society by bridging tradition with modernity, reinforcing cultural confidence, and promoting a more environmentally conscious lifestyle