Guangdong Institute of Arts and Sciences

As a novel woody oilseed, the application of Idesia polycarpa in oil processing has been limited by the lack of systematic research. In this study, the effects of different drying methods, impurity contents, and filtration cycles on the quality of Idesia polycarpa virgin oil were evaluated using physicochemical indicators such as acid value (AV), phospholipid content, color, etc. The thermal stability of the obtained Idesia polycarpa virgin oil was also assessed under high-temperature heating conditions in comparison with refined oil, soybean oil, and rapeseed oil. The results indicated that oil with higher transparency was obtained by microwave vacuum drying with zero impurity content and five filtration cycles with a peroxide value of 11.03 meq/kg and a phospholipid content of 1.07 mg/g. After high-temperature heating, lower total oxidation values (TOTOX = 106.05 ± 1.63) and polar compounds (7.99 ± 0.54 meq/kg) were detected in Idesia polycarpa virgin oil (IPVO) compared with soybean oil and rapeseed oil, confirming superior thermal stability. Overall, IPVO yield was improved and exceptional thermal stability was achieved by this pretreatment, underscoring its potential as a functional cooking oil for high-temperature culinary applications.

Ensuring equitable access to quality education (UN SDG 4) remains challenging in contexts where teachers cannot provide individualized support. We present DKT++, an integrated adaptive learning platform unifying four AI modules: (1) time-aware Transformer for knowledge tracing modeling forgetting curves (0.836 AUC, +1.5% over SAINT); (2) EduGPT, a LoRA-tuned LLaMA-2 generating emotion-aware feedback (0.49% parameters, 4.2/5.0 rating); (3) multimodal emotion detector recognizing frustrated/confused/engaged/bored states (76.3% F1); (4) hybrid WAPTS+DQN path planner optimizing learning sequences (-21.6% questions). Real-world deployment (60 students, 4 weeks) achieves +6.2% post-test scores, -12.3% time, and 78.9 SUS score, advancing educational equity at scale.

This paper established the disequilibrium degree model of effective supply and effective demand in the assembled property market. Based on the statistical data from 2001 to 2018, the paper estimated and tested the parameters of the disequilibrium model of effective supply and demand, and calculated the disequilibrium degree of effective supply and demand in China’s assembled property market. The results indicated that China’s assembled property market was not effective and equilibrium, but obviously imbalanced and fluctuated. The research results provided strong empirical evidence for revealing that price distortion was one of the important factors causing the disequilibrium in China’s assembled property market. In order to develop healthily and improve the level of social welfare, the government should take it as a basic policy in the future to eliminate the disequilibrium of effective supply and demand in the assembled property market.