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Research Article Open Access
A study on the composition and strength of glutinous rice slurry in the ancient sea dikes of the Qiantang River
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The ancient sea dikes of the Qiantang River have a history spanning more than 400 years since their construction in the 21st year of the Jiajing reign of the Ming Dynasty (1542). Despite centuries of exposure to wind, rain, and tidal waves, as well as extensive damage caused by modern human activities, more than 40 kilometers of these historic sea dikes remain in service on the front line of flood control, continuing to play a vital role. Owing to their long history, the ancient sea dikes have also fostered a rich body of local folk traditions and accumulated profound cultural significance for the communities along both banks of the estuary. They therefore represent not only important hydraulic engineering works but also valuable historical and cultural heritage. With the passage of time and changes in hydrological and topographical conditions, many of the surviving ancient sea dikes have developed structural problems, including fractured facing stones and detached stone blocks. Consequently, reproducing traditional glutinous rice mortar using modern techniques and restoring the ancient sea dikes in accordance with cultural heritage conservation standards is of great significance for preserving historical and cultural heritage, promoting water-related culture, and maintaining the engineering functions of these historic structures. This study focuses on the ancient fish-scale stone sea dike along the Haining section of Jiaxing. Building upon previous studies and systematic analyses of ancient mortar samples, the composition of traditional glutinous rice mortar was analyzed and optimized. Through similarity tests, compressive strength tests, and field experiments, a glutinous rice mortar suitable for preliminary application in the restoration of ancient sea dikes was successfully developed. After repeated experimental verification, the optimal formulation was determined to consist of calcium hydroxide powder, calcium carbonate powder, gypsum powder, pregelatinized glutinous rice flour, a water-reducing agent, cellulose, and alum. The prepared mortar exhibited satisfactory bonding performance in similarity tests, making the bonded stone specimens difficult to separate. In compressive strength tests, the mortar generally achieved strengths exceeding 0.7 MPa. Field tests further demonstrated good resistance to hydraulic erosion and drying-induced cracking, indicating that the developed mortar has preliminarily met the requirements for practical application in sea dike restoration projects.
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Research and analysis on artificial intelligence applications in education: a study across programming, history, and English
This paper conducts a systematic review of artificial intelligence integration in programming, history, and English education, focusing on technological applications, practical outcomes, and existing challenges. Against the backdrop of global educational digitalization, AI technologies such as generative models, adaptive learning systems, intelligent tutoring systems, and AI-enhanced learning management platforms have addressed long-standing issues in these disciplines, including low engagement in programming, abstract historical instruction, and one-size-fits-all English teaching. By analyzing 10 recent scholarly works, this study first categorizes mainstream AI educational technologies, then compares their discipline-specific uses in code generation, historical simulation, argument feedback, language practice, and adaptive assessment. It also discusses how these tools influence learner autonomy, teacher workload, classroom interaction, and educational equity. Findings reveal that AI enhances personalized learning but requires pedagogical alignment to avoid superficial knowledge acquisition, student overreliance, data bias, and integrity risks. Future research should prioritize interdisciplinary AI education frameworks, ethical governance mechanisms, teacher training, and long-term impact assessments to promote sustainable AI integration in K-12 and higher education.
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Two-dimensional semiconductors for next-generation low-power transistors
As the feature size of silicon-based field-effect transistors approaches its physical limit, the surge in leakage current and static power consumption caused by short-channel effects has become a critical obstacle to sustaining Moore's law. Two-dimensional (2D) semiconductors, with their atomically thin bodies, van der Waals interfaces, and tunable band gaps, offer new material and device strategies to overcome the power bottleneck. Centering on the subthreshold swing—the core figure of merit for low-power transistors—this article reviews the research progress of 2D semiconductors represented by transition metal dichalcogenides, black phosphorus, and tellurene from four dimensions: material systems, device structures, process integration, and application compatibility. It compares the near-ideal switching characteristics of monolayer MoS₂, the high mobility of black phosphorus, and the stability limitations of black phosphorus. It summarizes the roles of gate-all-around architectures, vertical heterojunctions, edge contacts, and wafer-scale integration in improving electrostatic control, reducing contact resistance, and enhancing manufacturability. This article argues that the key challenges for low-power transistors based on 2D semiconductors have shifted from individual performance verification to a comprehensive balance among material stability, contact interfaces, defect control, CMOS compatibility, and scenario-specific reliability.
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Robust and explainable Retrieval-Augmented Generation under retrieval noise
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Retrieval-Augmented Generation (RAG) improves language-model answers by retrieving external evidence before generation. However, its reliability depends on the retrieved context. In real settings, passages can be irrelevant, incomplete, conflicting, or poorly ordered. These problems may reduce accuracy and explainability. This study tests how retrieval noise affects RAG and whether reranking, citation-aware generation, and lightweight verification can improve system behaviour. A controlled experiment was conducted on a small HotpotQA subset using BM25, Sentence-BERT, and FAISS. Four systems were compared: vanilla RAG, reranking-only, citation-only, and a full enhanced system. Results show that reranking achieved the highest average noisy F1, but the gain over vanilla RAG was small. The full enhanced system achieved better faithfulness, groundedness, and citation precision, but did not improve average noisy F1. This suggests that robust and explainable RAG is a multi-objective problem.
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Performance enhancement techniques for bandgap reference voltage sources: a comprehensive review
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The bandgap reference voltage source is a critical module in analog and mixed-signal integrated circuits, with its performance directly impacting the accuracy and stability of circuits such as ADCs, DACs, LDOs, power management systems, and sensor interfaces. As integrated circuits evolve toward lower voltage, lower power consumption, and higher precision, traditional bandgap references face increasing demands in terms of temperature stability, power supply rejection ratio (PSRR), and process compatibility. This paper reviews key performance enhancement methods for bandgap reference voltage sources. It begins by introducing the fundamental principles of traditional BJT-based bandgap references and fully CMOS voltage reference circuits, analyzing how CTAT and PTAT components complement each other to generate a stable reference voltage. Subsequently, recent typical reference source structures are categorized and compared across three aspects: temperature stability improvement, PSRR enhancement, and fully CMOS low-power implementation. In temperature compensation, methods such as segmented curvature compensation, exponential and logarithmic curvature compensation, resistor temperature coefficient compensation, subthreshold compensation, and base current compensation are emphasized. For PSRR improvement, techniques like pre-regulation, filtering, feedback enhancement, LDO stabilization, and transistor structure optimization are analyzed. Regarding fully CMOS voltage references, developments in MOS-only, subthreshold CMOS, 2-T structures, β-multiplier structures, and flexible substrate all-in-one reference circuits are summarized. Comparative results indicate that the design of high-performance bandgap references has shifted from single-compensation methods to joint optimization of multiple mechanisms, synergistically improving overall performance through temperature compensation, PSRR enhancement, low-power biasing, and process trimming. This review provides a reference for the design and optimization of low-temperature-drift, high-PSRR, and low-power bandgap reference voltage sources in future research.
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