Abstract.To investigate the mechanical response patterns of polyurethane materials with varying thicknesses under impact loading and clarify the influence mechanism of thickness on their impact resistance, dynamic compression tests were conducted on polyurethane specimens with thicknesses of 5 mm, 10 mm, 15 mm, 20 mm, and 25 mm using a Separated Hopkinson Pressed Bar (SHPB) test apparatus under an impact pressure of 0.4 MPa. The study revealed that peak stress initially decreased continuously with increasing thickness, reaching a minimum at 20 mm before slightly rebounding. Peak strain exhibited a … Read more →

Abstract.Addressing the systematic errors introduced by dual-beam interference models in epitaxial layer thickness calculations and considering the robustness of actual interference phenomena, this study establishes a calculation model for the relationship between reflectance and epitaxial layer thickness under multi-beam interference conditions. This research is significant for improving the accuracy and reliability of thickness measurement in semiconductor manufacturing processes, which is a critical parameter for controlling device performance and yield. First, the necessary conditions for … Read more →

Abstract.In recent years, lignin-based products have been increasingly investigated for soil improvement. In this study, calcium lignosulfonate (CLS) was adopted to enhance the mechanical behavior of loess. To quantify the effect of CLS on shear strength, specimens were prepared at a water content of 15% with three degrees of compaction (85%, 90%, and 95%). Six CLS dosages (0, 0.25%, 0.5%, 1%, 2%, and 4% by dry soil mass) were considered, and direct shear tests were conducted under normal stresses of 100, 200, 300, and 400 kPa. The results show that CLS addition effectively increased the shear strength … Read more →

Abstract.Against the backdrop of rapid advancements in intelligent manufacturing and robotics, enhancing the high-precision autonomous positioning capability of industrial robots in dynamic and complex environments has become a critical challenge. To address the pain points of large initial positioning errors and insufficient accuracy in traditional methods, this study designs and implements a high-precision, high-robustness mobile robot visual positioning system. The system adopts an Eye-in-Hand visual architecture, integrating HOG feature extraction with KCF kernel correlation filtering algorithms to … Read more →

Abstract.Icing presents significant risks to transportation, infrastructure, and the safety of equipment, while surfaces designed to prevent ice formation, such as superhydrophobic coatings, often fail in low-temperature environments. In this study, three-dimensional crosslinked κ-carrageenan hydrogels were separately impregnated with ethylene glycol, propylene glycol, and glycerol, resulting in the formation of ethylene glycol–impregnated κ-carrageenan hydrogel (EGIκCH), propylene glycol–impregnated κ-carrageenan hydrogel (PGIκCH), and glycerol-impregnated κ-carrageenan hydrogel (GLIκCH). Among these, … Read more →

Abstract.The proliferation of persistent and toxic organic contaminants necessitates the development of efficient advanced oxidation processes (AOPs). Electrocatalytic oxidation, particularly using dimensionally stable anodes (DSA) like Ti/SnO2-Sb, presents a promising solution due to its high efficiency and environmental compatibility. The review details the primary preparation methods for Ti/SnO2-Sb electrodes, including thermal decomposition, electrodeposition, chemical vapor deposition, hydrothermal synthesis, and the widely used sol-gel method, analyzing their respective advantages and … Read more →

Abstract.Ophthalmic imaging serves as a cornerstone for the diagnosis and management of ocular diseases, capturing intricate anatomical structures and relational patterns that are not fully characterized by conventional convolutional neural networks operating on Euclidean grids. Graph-based learning offers a powerful paradigm to overcome this limitation by representing images as graphs, where nodes correspond to anatomical units and edges encode structural, spatial, or semantic relationships. This review provides a systematic and critical synthesis of graph-based methodologies applied to ophthalmic … Read more →

Abstract.With the continuous advancement of science and technology and the steady improvement of living standards, our daily lives have become increasingly intelligent, with smart home systems gaining widespread adoption. As a crucial component of smart homes, smart door locks meet the growing demand for home security, convenience, and intelligent functionality, gradually replacing outdated traditional mechanical locks. This paper presents a smart door lock system designed with an STM32 microcontroller as the main control unit. Through integrated hardware and software design, the system enables … Read more →

Abstract.Accurate river water-quality assessment is essential for watershed management, yet fixed-threshold and static weighting schemes may not adequately represent the fuzziness and gradual transitions of water-quality states. This study proposes a composite-weighted improved fuzzy comprehensive evaluation framework and applies it to the state-controlled Qilipu section of the Yiluo River using high-frequency monitoring data from 2022–2024. Five indicators are weighted via CRITIC and entropy methods and integrated into composite weights; semi-trapezoidal membership functions based on GB 3838-2002 are … Read more →

Abstract.Nickel-based composites have attracted extensive attention owing to their outstanding corrosion resistance, wear resistance, and high specific strength. However, conventional particulate reinforcements often compromise thermal and electrical conductivity. Graphene, distinguished by its exceptional intrinsic strength, superior electrical and thermal conductivity, and ultralow density, offers a promising strategy for designing nickel-based composites that reconcile structural robustness with functional heat and charge transport. Focusing on the “fabrication and properties of graphene-reinforced … Read more →

Abstract.Wind power prediction is crucial for ensuring the safe and stable operation of high-penetration renewable energy power systems. Addressing the nonlinear and non-stationary characteristics of wind power sequences and the challenges of hyperparameter optimization in deep learning models, this paper proposes a short-term wind power prediction method based on adaptive hybrid swarm intelligence optimization. First, an adaptive elite hybrid algorithm (SAE-PSO-GWO) integrating Grey Wolf Optimizer and Particle Swarm Optimization is constructed, incorporating elite opposition-based learning and … Read more →

Abstract.In the context of the era of smart media, the blind community in China faces a significant reading gap. The structural contradiction between technological empowerment and the social support system exacerbates their cultural marginalization. This article analyzes the deep-seated dilemmas of reading for the blind from three dimensions: technological adaptability defects, imbalance in the supply of resources for the blind, and lagging service support system. Specifically, the accessibility design of smart media has long been marginalized; Braille books suffer from lagging technological iteration … Read more →

Abstract.The technique of rock and soil mass reinforcement has been widely used in engineering field and has solved many difficult problems in geotechnical engineering. As an important part of rock and soil consolidation technology, grouting method is also the most common foundation treatment method. Through pneumatic, hydraulic or electrochemical principles, some curable grout is injected into natural or artificial cracks or pores to improve various physical and mechanical parameters of the medium, so as to meet the needs of practical engineering. This paper reviews the development of grouting method, … Read more →

Abstract.To investigate the influence mechanism of C-S-H nano-nuclei on the early strength of high-performance concrete in which fly ash partially replaces cement, this study employed an orthogonal experimental method to systematically explore the synergistic effects of three key factors-fly ash content, nano-C-S-H nuclei content, and curing age-on the mechanical properties of early-strength concrete. A four-level, three-factor orthogonal experimental design (L16(4³)) was adopted, with a total of 17 groups of concrete specimens prepared. Their compressive strength, splitting tensile strength, and … Read more →

Abstract.The Boolean Satisfiability Problem (SAT), as a representative NP-complete problem, plays a crucial role in integrated circuit verification, automated reasoning, and combinatorial optimization. In recent years, end-to-end SAT solvers based on graph neural networks (GNNs) have alleviated the reliance on handcrafted heuristics by learning the structural relationships between variables and clauses. However, existing neural SAT solvers with query-based mechanisms typically rely on a single query perspective, which limits their ability to capture diverse reasoning paths within complex constraint … Read more →

Abstract.With the rapid development of the Internet, e-commerce will gradually become the mainstream business model of this century. Online bookstores are a new type of book sales channel that has emerged with the development of these network technologies. It combines human and electronic communication methods, relies on computer networks, and is based on communication technology to achieve online transactions for book sales. Compared with traditional storefront bookstores, online bookstores have new business modes and sales channels; Its 24-hour and all-round service is unmatched by physical … Read more →

Abstract.In order to study the seismic performance of ultra-high-performance concrete (UHPC) columns, ABAQUS finite element software was used to simulate the seismic performance tests of UHPC columns under horizontal loads. The simulation results were compared with existing experimental results, showing good agreement. Based on this, the hysteresis curves and skeleton curves of UHPC columns under different parameters were studied using the variable control method to investigate the effects of axial compression ratio, stirrup spacing, and longitudinal reinforcement ratio on the seismic performance of … Read more →

Abstract.In the current era where a new round of technological revolution and industrial transformation is intertwined, leveraging artificial intelligence to empower the cultivation of new-quality productivity has become a core path for driving development. This paper focuses on the policy of the New Generation Artificial Intelligence Innovation and Development Pilot Zones, selecting panel data from 30 provinces in China from 2012 to 2022 as the analysis sample. It employs a multi-period difference-in-differences model and, in combination with the CRITIC entropy weighting method, constructs a … Read more →