Abstract.As a lightweight high-performance metallic material, magnesium alloys demonstrate significant application potential in fields such as aerospace, automotive manufacturing, and biomedical engineering. However, their high chemical reactivity leads to susceptibility to corrosion and degradation in service environments, severely limiting their engineering applications. Micro-arc oxidation (MAO) technology, also known as plasma electrolytic oxidation (PEO), effectively addresses the corrosion protection of magnesium alloys by in-situ generating a ceramic oxide layer on the metal surface. This paper … Read more →

Abstract.Agricultural new quality productive forces serve as a crucial lever for advancing agricultural modernization and building a leading agricultural nation. This paper primarily conducts a literature review to elucidate the connotation and characteristics of agricultural new quality productive forces and offers research prospects for future inquiry. It argues that future efforts should be advanced in a coordinated manner across four dimensions: subject incentives, factor allocation, data empowerment, and technological innovation. By constructing a pattern of multi-subject collaborative governance … Read more →

Abstract.Per- and polyfluoroalkyl substances (PFAS) have emerged as a globally significant new class of persistent organic pollutants due to their exceptional chemical stability, environmental persistence, and pronounced bioaccumulative toxicity. Among existing remediation technologies, adsorption is widely recognized as the most promising approach for treating trace and low-concentration PFAS in water bodies due to its high removal efficiency, low operational energy consumption, and ease of operation. Porous organic polymers (POPs), as an emerging platform material, offer an ideal molecular … Read more →

Abstract.Empirical Mode Decomposition (EMD) has unique advantages in processing nonlinear and non-stationary signals due to its adaptability, and has been widely applied in the research on fault diagnosis of rolling bearings.This paper systematically combs the relevant literatures in this field in the past five years. From the perspective of the evolution of methods, the research has experienced a gradual deepening process from a single decomposition method to the fusion of multiple technologies and from traditional machine learning to deep learning integration.The existing research mainly focuses on … Read more →

Abstract.Adolescence is a critical developmental period characterized by ongoing prefrontal–limbic maturation, heightened emotional reactivity, and increased sensitivity to social and environmental feedback, making this stage particularly vulnerable to depressive disorders. Adolescent Major Depressive Disorder (MDD) is associated with pervasive negative cognitive biases, diminished reward responsiveness, and heightened loss aversion, which collectively drive conservative or avoidance-oriented decision-making under conditions of uncertainty. Behavioral evidence indicates that these biases impair … Read more →

Abstract.In the digital and intelligent era, live-streaming e-commerce for agricultural products has become an important carrier for the digital transformation of agriculture. The industry is experiencing rapid expansion, but enterprises are facing development challenges such as intensified competition, homogenization of models, and imperfect supply chains. This paper takes live-streaming e-commerce enterprises for agricultural products as the research object, utilizes the PEST model and Porter's Five Forces model, analyzes the competitive environment of enterprises from both macro and micro … Read more →

Abstract.To address the issues of noise interference in edge detection of transmission line icing images and inaccurate thickness calculation due to scattered straight line detection, a detection method based on an improved Canny operator and optimized Hough transform is proposed. The Canny adaptive double threshold is achieved through the percentile sorting of gradient magnitude to enhance the robustness of edge extraction; the optimized Hough transform with line fitting is adopted to fuse scattered edges into complete icing edge lines ; and the thickness conversion is completed in combination with … Read more →

Abstract.Recently, the need for sustainable development of a large population and the uneven distribution of resources have compelled people to make new breakthroughs in the energy revolution. The field of energy technology has been rapidly advancing, and researchers are increasingly focusing on energy materials. Single-walled carbon nanotubes (SWCNTs) play a vital role in this area. However, the initial challenge of producing SWCNTs in large batches hampers their widespread application. This study successfully synthesized a catalyst consisting of Fe-Co-W using an impregnation-calcination technique and … Read more →

Abstract.Aqueous zinc-ion batteries (AZIBs) demonstrate irreplaceable application prospects in large-scale energy storage due to their inherent safety, low cost, and high theoretical capacity. However, issues such as dendritic disorderly growth, hydrogen evolution reaction (HER), and corrosion of zinc anodes severely compromise electrode structural integrity, becoming a core bottleneck restricting the commercialization of AZIBs. To achieve efficient protection of zinc anodes, study employed room-temperature immersion deposition using metal nitrate as precursors to construct a Zn@M metallic deposited … Read more →

Abstract.Currently, autonomous driving technology is transitioning from technical testing to large-scale commercial application. Compared to traditional industrial products, autonomous driving technology is characterized by both complexity and autonomy, making it difficult to adapt to traditional product liability standards. This not only affects the effective remedy of the legitimate rights and interests of victims but also hinders the innovative development of the industry. This paper takes the application of product liability for autonomous vehicles as its research object, combining relevant legal … Read more →

Abstract.Diabetes mellitus, a chronic metabolic disorder affecting a growing global population, demands accurate real-time glucose monitoring for effective management. Traditional finger-prick blood glucose testing is invasive, painful, and incapable of long-term continuous monitoring, driving the development of non-invasive alternatives. Tear glucose monitoring via smart contact lenses has emerged as a promising approach due to its non-invasiveness, real-time responsiveness, and improved patient compliance. This review systematically summarizes recent progress in smart contact lens technology for tear … Read more →

Abstract.Carbon nanotubes (CNTs) have become an ideal reinforcement filler for polymer composites due to their unique one-dimensional hollow structure and excellent mechanical properties. However, the chemical inertness and easy agglomeration of the CNTs' surface limit their wide application. In this paper, the "oxidation amidation" two-step method was used to modify the surface of multi-walled carbon nanotubes. Firstly, carboxyl active sites (O-CNTs) were introduced on the surface of CNTs by hydrogen peroxide oxidation, and then octadecylamine was grafted onto the surface of CNTs by amide reaction … Read more →

Abstract.Grouting technology is a core reinforcement and anti-seepage method in the field of geotechnical engineering, and its application efficiency relies critically on the performance breakthrough and technological innovation of grouting materials. In recent years, the research on grouting materials worldwide has entered a period of rapid development. Scholars at home and abroad have conducted in-depth exploration around the core directions such as material research and development, performance evaluation, and construction application, and have achieved a series of results with practical value and … Read more →

Abstract.Under the situation of green economy, glycerol, as a polyol containing three hydroxyl groups, has high versatility and can be reacted to produce many different and more valuable fine chemicals and products. Glycerol is produced in large quantities in the process of biodiesel production, which is an important by-product of biodiesel production. Therefore, glycerol is considered as a potential platform chemical. Various value-added products of C3-C1 can be obtained by selective oxidation of glycerol via photocatalysis, electrocatalysis and photoelectrocatalysis, to improve the selectivity and … Read more →

Abstract.To address the instability problem of foil-driven hydrodynamic gas bearing-rotor systems in high-speed oil-free rotating machinery, this paper establishes a high-fidelity transient multi-field coupled dynamic prediction model. The core of this model is that it skips the traditional linear stiffness/damping simplification and directly obtains the transient film force by solving the unsteady Reynolds equations that account for the squeezing effect. The paper details the numerical process of solving the transient flow field using the Alternating Direction Implicit (ADI) method and integrates it … Read more →

Abstract.China's social and economic development is constantly moving forward, the industrial level is further developing, and the demand for energy production is constantly increasing. With the increasing scale of coal mine engineering, higher requirements are put forward for mining technology. Intelligent coal mining can not only improve the level of production management, but also increase coal production. This paper introduces the necessity of applying intelligent mining technology, then discusses the convenience brought by intelligent mining technology, discusses the specific technology, … Read more →

Abstract.The large-scale development of pharmaceutical consumption and livestock breeding has made drug residues a typical trace emerging pollutant in water environments. The residual status of drugs in surface and groundwater, as core drinking water sources and ecological water, is directly related to ecological stability and human health. This study focuses on fluoroquinolones, sulfadiazine antibiotics, and antipyretic analgesics as target analytes, combined with the characteristics of aquatic matrix, optimizing solid-phase extraction pretreatment and LC-MS/MS detection parameters, establishing trace … Read more →

Abstract.Rock creep exhibits significant nonlinear characteristics, which become particularly pronounced during the accelerating creep stage under high shear stress, primarily due to the continuous accumulation of internal damage. The Nishihara model fails to adequately describe this phenomenon. To better characterize the full-stage creep process, this study introduces a damage variable into the component model based on damage mechanics theory and Lemaitre's strain equivalence principle, taking into account the full-process damage evolution. First, based on damage mechanics theory and the strain … Read more →

Abstract.In the context of urban renewal, the renovation of old residential communities has garnered significant attention from academia and policymakers as a crucial component of urban revitalization efforts. Facing multiple constraints during renovation processes, this study systematically identified 19 key limiting factors through literature analysis, case studies, and expert interviews to explore their underlying mechanisms. By applying the ISM model to construct hierarchical factor structures and employing the C-OWA operator for quantitative weight analysis, the research reveals five core … Read more →

Abstract.Plant landscapes play an indispensable role in shaping the character of roads. Additionally, the construction of road plant landscapes can mitigate the impacts of urban expansion. Therefore, exploring the plant landscapes of road green spaces is of great value. This study focuses on urban road greening construction, investigating the road greening in Hangzhou city. Through field surveys of the green spaces along the main roads in Hangzhou's urban area, and using plant community research methods, this study aims to understand the plant health, species composition, and population characteristics … Read more →

Abstract.To address the problems of high labor intensity, low efficiency, and safety risks in traditional manual inspection, as well as the insufficient environmental adaptability and limited path adjustment capability of existing inspection robots, an automatic inspection robot system based on multi-sensor fusion is designed. The system employs a Raspberry Pi 5 as the main control platform and integrates a Mecanum-wheel mobile mechanism, ultrasonic sensors, infrared sensors, and a camera pan-tilt module to accomplish the overall structural design, hardware selection, drive system development, and … Read more →