In response to the current imbalance phenomenon of "emphasizing skills while neglecting values" in programming practice teaching oriented toward smart agriculture, this study employs the Data Structures course as a vehicle. It applies Checkland's Soft Systems Methodology (SSM) to construct a three-d...

Intermetallic compounds including TiAl and NiAl suffer from an abrupt brittle-ductile transition at a critical temperature, limiting their higher temperature applications. Conventional viewpoints attribute this transition to thermally activated dislocation actions or dynamic recrystallization. Here,...

Hilly and mountainous areas account for 69% of China’s land area and undertake critical agricultural production tasks, but the poor adaptability of mainstream intelligent agricultural machinery and inefficient promotion models have become key bottlenecks restricting agricultural modernization. This...

Apocynum venetum has clustered, highly branched stems with strong phloem fiber adhesion, which makes mechanical harvesting prone to entanglement, grip slippage, conveyance blockage, and uneven, high stubble. Existing cutting and bundling machines do not match this morphology well and cannot meet bot...

Unmanned aerial vehicles face GPS spoofing and jamming that can compromise navigation and safety. We present an anomaly detection method that achieves both high accuracy and interpretability, enabling UAV operators to understand why an alert is triggered, which enables timely responses and builds tr...

This study investigates the role of feature extraction and dimensionality reduction techniques in addressing high-dimensional image data, with a particular focus on Alzheimer's disease classification using 2D magnetic resonance imaging (MRI). Histogram of Oriented Gradients (HOG) and Local Binary Pa...

This study presents an analytical mathematical model for an integrated microbial fuel cell--oxic--anoxic bioreactor (MFC--OB--ANB) system designed for simultaneous slaughterhouse wastewater treatment and energy recovery. The model incorporates bioelectrochemical oxidation, nitrification, and denitri...

Aqueous zinc-ion batteries (AZIBs) are considered one of the most promising candidates for next-generation energy storage systems, owing to the high safety, low cost, high theoretical capacity (820 mAh g\(^{-1}\)), and environmental compatibility. However, the practical implementation of zinc metal...

With the application of AI in both learning and teaching, this study investigates English major graduate students’ perceptions of corrective and suggestive feedback provided by AI, and the relationship between their perceptions and academic writing self-efficacy. Through a questionnaire survey of 37...

Predicting student dropout and academic success is important for higher education institutions for enhancing retention and deliver timely interventions. However, educational datasets often exhibit severe class imbalance, particularly when multiple academic outcomes (i.e., dropout, enrolled, and grad...