Results in Engineering最新文献_第10页

GBAS-based high-precision automatic landing guidance for civil aircraft using improved active disturbance rejection control 基于改进自抗扰控制的gbas民机高精度自动着陆制导

IF 6

Results in Engineering Pub Date : 2025-06-12 DOI: 10.1016/j.rineng.2025.105716

Shaobo Zhai, Guangwen Li, Junmin Cheng, Mingshan Hou

引用次数: 0

Advances in AI-based rainfall forecasting: a comprehensive review of past, present, and future directions with intelligent data fusion and climate change models 基于人工智能的降雨预报研究进展：基于智能数据融合和气候变化模型的过去、现在和未来发展方向综述

IF 6

Results in Engineering Pub Date : 2025-06-12 DOI: 10.1016/j.rineng.2025.105774

Farhan Amir Fardush Sham , Ahmed El-Shafie , Wan Zurina Wan Jaafar , Adarsh S , Mohsen Sherif , Ali Najah Ahmed

{"title":"Advances in AI-based rainfall forecasting: a comprehensive review of past, present, and future directions with intelligent data fusion and climate change models","authors":"Farhan Amir Fardush Sham , Ahmed El-Shafie , Wan Zurina Wan Jaafar , Adarsh S , Mohsen Sherif , Ali Najah Ahmed","doi":"10.1016/j.rineng.2025.105774","DOIUrl":"10.1016/j.rineng.2025.105774","url":null,"abstract":"<div><div>Accurate rainfall forecasting is crucial for managing water resources, supporting agriculture, and preparing for natural disasters, especially as climate variability becomes more pronounced. Traditional methods often struggle with the complexity and unpredictability of rainfall patterns across different climates, driving interest in advanced modelling approaches capable of capturing such nonlinear dynamics. Artificial Intelligent (AI) model are well-suited for detecting complex temporal pattern in rainfall data, enabling improved short-, medium- and long-term performance. A key feature of the purposed framework is the integration of AI models with climate change simulation output through a fusion process that combines historical climate projections and rainfall data using a hybrid input strategy. This fusion enables the AI models to learn not only from observed rainfall sequences but also from anticipated climate-driven variations, thus improving the model’s adaptability and robustness under changing environmental conditions. These findings highlight the potential of more reliable and resilient forecasting systems that support informed decision-making in agriculture, urban planning, and disaster preparedness, reinforcing the promise of AI in climate-aware rainfall prediction.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 105774"},"PeriodicalIF":6.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307627","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of nanomodifiers on rheological, chemical, and microstructural properties of asphalt mastics 纳米改性剂对沥青胶粘剂流变、化学和微观结构性能的影响

IF 6

Results in Engineering Pub Date : 2025-06-12 DOI: 10.1016/j.rineng.2025.105750

Sandra Matarneh , Nawal Louzi , Ibrahim Asi , Mu'tasim Abdel-Jaber , Eyad Masad

{"title":"Effects of nanomodifiers on rheological, chemical, and microstructural properties of asphalt mastics","authors":"Sandra Matarneh , Nawal Louzi , Ibrahim Asi , Mu'tasim Abdel-Jaber , Eyad Masad","doi":"10.1016/j.rineng.2025.105750","DOIUrl":"10.1016/j.rineng.2025.105750","url":null,"abstract":"<div><div>This research examines the impact of three nano-modifiers/fillers—Nano Hydrated Lime (NHL), Nano Clay (NC), and Nano Olive Husk (NOH) on the rheological, chemical, and microstructural characteristics of asphalt mastic in both unaged and short-term aged (RTFO-aged) conditions. The results indicated that NOH increased penetration and markedly lowered the softening point by 30 %. Rheological evaluations conducted using a Dynamic Shear Rheometer (DSR) and a rotating viscometer (RV) indicated that NHL and NC increased binder stiffness by up to 35 %, with NC exhibiting the most significant enhancement in high-temperature performance. Conversely, increasing the dosage of NOH had a negligible impact on G* and δ values at the high temperature of 64 °C, indicating the least high-temperature performance. The analysis of chemical functional groups using Fourier Transform Infrared (FTIR) spectroscopy demonstrated that NHL mastic had the most resistance to oxidation, reduced the carbonyl index by 25 %, while NC exhibited the most aging. This was attributed to the NHL's ability to absorb reactive groups from the asphalt binder more than the other two fillers. Atomic Force Microscopy (AFM) was used to assess nanomechanical stiffness (i.e. DMT modulus) of unaged and aged asphalt mastics. Up to 3 % filler, NHL showed higher nano stiffness than NC. The effect of NHL on stiffness at the nano scale (AFM measurements) was more pronounced than at the bulk scale (DSR measurements), primarily because the physico-chemical interactions of NHL with binder are not manifested in bulk diluted filler systems with low filler concentration. The research highlights the need to optimize filler concentrations to achieve the required rheological properties and ageing resistance using various rheological, chemical, and microstructural tests. These results provide significant insights into developing sustainable, high-performance asphalt mixes to meet performance requirements.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 105750"},"PeriodicalIF":6.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280761","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Energy system model design and development for thermal hydrolysis process integrated with anaerobic digestion in municipal wastewater treatment plants 城市污水处理厂热水解与厌氧消化一体化能源系统模型设计与开发

IF 6

Results in Engineering Pub Date : 2025-06-12 DOI: 10.1016/j.rineng.2025.105755

Reza Fattahi, Ahmad Hajinezhad, Younes Noorollahi

{"title":"Energy system model design and development for thermal hydrolysis process integrated with anaerobic digestion in municipal wastewater treatment plants","authors":"Reza Fattahi, Ahmad Hajinezhad, Younes Noorollahi","doi":"10.1016/j.rineng.2025.105755","DOIUrl":"10.1016/j.rineng.2025.105755","url":null,"abstract":"<div><div>Anaerobic digestion is commonly employed for sludge stabilization in municipal wastewater treatment plants; however, its efficiency is hindered by the slow rate of sludge biodegradation. To overcome this limitation, pretreatment methods such as the Thermal Hydrolysis Process (THP) are applied to enhance the degradation of sludge prior to anaerobic digestion. Despite significant technological advancements, the major unresolved challenge of the THP method remains its substantial energy consumption. In this study, an integrated energy system model combining thermal hydrolysis with anaerobic digestion was developed and analyzed using detailed process calculations and energy system modeling. Results from the case study indicate that integrating THP with anaerobic digestion reduces anaerobic digester tank volumes by approximately 80 %, improves organic matter degradation efficiency by 14 %, increases biogas energy production by 15 %, and enhances sludge dewatering efficiency by at least 20 %. Nonetheless, the high energy requirement for steam generation in the THP results in a negative overall energy balance, despite a 32 % increase in the energy content of produced biogas. This study highlights critical areas for further optimization in integrated thermal hydrolysis and anaerobic digestion systems.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 105755"},"PeriodicalIF":6.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144289113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Dual-scale evaluation of hybrid Al-SiC/graphene composites: Mechanical properties and deep learning-driven machinability insights 混合Al-SiC/石墨烯复合材料的双尺度评估：机械性能和深度学习驱动的可加工性见解

IF 6

Results in Engineering Pub Date : 2025-06-12 DOI: 10.1016/j.rineng.2025.105742

Natrayan Lakshmaiya , K. Vijetha , Arockia Selvakumar Arockia Doss , KJN Sai Nitesh , Nimel Sworna Ross , Ramya Maranan

{"title":"Dual-scale evaluation of hybrid Al-SiC/graphene composites: Mechanical properties and deep learning-driven machinability insights","authors":"Natrayan Lakshmaiya , K. Vijetha , Arockia Selvakumar Arockia Doss , KJN Sai Nitesh , Nimel Sworna Ross , Ramya Maranan","doi":"10.1016/j.rineng.2025.105742","DOIUrl":"10.1016/j.rineng.2025.105742","url":null,"abstract":"<div><div>Growing need for advanced materials in automotive and aerospace applications has led to the development of hybrid aluminium metal matrix composites (AMMCs) reinforced with Silicon Carbide (SiC) and Graphene. While these reinforcements significantly enhance mechanical and tribological properties, their influence on machinability—particularly during drilling—remains insufficiently explored, with limited research addressing the optimization of process parameters alongside predictive modeling of tool wear. The present study uses an integrated experimental and deep learning framework to investigate the drilling performance of Al 5457 alloy reinforced with 6 % SiC and 6 % Graphene. The research employs a Taguchi-based design of experiments to analyze the effects of cutting speed, feed rate, and thrust force on surface roughness and tool wear identifying optimal conditions for enhanced machinability. In parallel, convolutional neural networks—VGG16 and VGG19—are utilized to classify tool wear types based on augmented image datasets, enabling intelligent condition monitoring. Results revealed that a cutting speed of 60 m/min, a feed rate of 0.1 mm/rev, and a thrust force of 500 N yielded minimum tool wear and surface roughness. VGG16 achieved a superior classification accuracy of 98.86 %, outperforming VGG19 at 92.3 %, demonstrating its robustness in wear pattern recognition. This dual approach optimizes drilling performance and enables predictive maintenance through image-based wear detection, offering practical applicability in the precision machining of hard-to-machine advanced materials and metal composites (AMMCs). It has the potential for integration into smart manufacturing systems for real-time tool health monitoring and process control.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 105742"},"PeriodicalIF":6.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307622","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Smart cities and smart health: Innovations in home medical devices for efficient healthcare delivery 智能城市和智能健康：家用医疗设备的创新，以实现高效的医疗保健服务

IF 6

Results in Engineering Pub Date : 2025-06-12 DOI: 10.1016/j.rineng.2025.105739

Taoyang Cai , Jingfei Ma , Shangjie Ge-Zhang

{"title":"Smart cities and smart health: Innovations in home medical devices for efficient healthcare delivery","authors":"Taoyang Cai , Jingfei Ma , Shangjie Ge-Zhang","doi":"10.1016/j.rineng.2025.105739","DOIUrl":"10.1016/j.rineng.2025.105739","url":null,"abstract":"<div><div>In the context of rapid urbanization and an aging population, the integration of intelligent home medical devices into smart city frameworks has emerged as a critical solution to address the growing healthcare challenges in China. This study provides a comprehensive analysis of the current state, challenges, and future trends of intelligent home medical devices within the smart city ecosystem, with a specific focus on China's unique healthcare landscape. With the methods of literature review, case analysis and trend prediction, this study deeply analyzes the application status, challenges and future development trend of smart home medical equipment in China, especially its application potential and market prospect in chronic disease management and aging society. By leveraging advanced technologies such as AI, IoT, and 5G, these devices offer real-time health monitoring, data-driven decision-making, and personalized healthcare services, significantly enhancing healthcare accessibility and efficiency. However, the industry faces challenges including high costs, data security concerns, and uneven market development. This research highlights the importance of integrating intelligent home medical devices into urban health systems to create more sustainable and inclusive healthcare models, particularly for China's elderly population and individuals with chronic diseases. The findings offer valuable insights for policymakers and industry stakeholders to develop supportive policies and market strategies, ultimately contributing to the development of smarter and healthier cities. Future trends, such as integration, modularization, and enhanced data security, are crucial for optimizing healthcare delivery and ensuring the sustainable development of urban health systems in China.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 105739"},"PeriodicalIF":6.0,"publicationDate":"2025-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144307626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Paving the way for renewable energy and hydrogen adoption in Southern Africa 为南部非洲采用可再生能源和氢能源铺平道路

IF 6

Results in Engineering Pub Date : 2025-06-11 DOI: 10.1016/j.rineng.2025.105730

Phakamile Ndlovu

{"title":"Paving the way for renewable energy and hydrogen adoption in Southern Africa","authors":"Phakamile Ndlovu","doi":"10.1016/j.rineng.2025.105730","DOIUrl":"10.1016/j.rineng.2025.105730","url":null,"abstract":"<div><div>Rising population and rapid development in Africa have led to growing energy demands that exceed current supply, underscoring the urgent need for expanded and reliable energy access. As the global agenda shifts toward sustainability, integrating renewable energy sources presents a viable pathway to address these shortages. This study explores the energy landscape, policies, and transition strategies of five Southern African countries, using Multi-Level Perspective theory and energy systems analysis to examine the dynamics of their energy transitions. Findings highlight the significant potential of green hydrogen, solar, wind, and hydropower to supplement conventional fuels, especially in energy-intensive sectors, while reducing reliance on fossil fuels and mitigating climate impacts. The application of Multi-Level Perspective theory underscores the importance of managing interactions between niche innovations, existing socio-technical regimes, and broader landscape pressures to support systemic transformation. The transition to renewable energy will also impact the future of coal mining, shaped by policy frameworks, resource distribution, technological developments, and market trends. However, several persistent barriers must be overcome these include limited access to energy, high capital costs, poverty, political and economic instability, regulatory inefficiencies, and gaps in technical expertise. Achieving a successful and inclusive energy transition in Southern Africa will require strategic planning, policy alignment, stakeholder engagement, and targeted support for vulnerable sectors. Achieving long-term regional energy security and economic resilience requires making sure the process is just, egalitarian, and sustainable.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 105730"},"PeriodicalIF":6.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144314355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Experimental investigations and field applications of a tension estimation method for two linked suspenders using only local vibration measurements 仅使用局部振动测量的两个连接吊杆张力估计方法的实验研究和现场应用

IF 6

Results in Engineering Pub Date : 2025-06-11 DOI: 10.1016/j.rineng.2025.105687

Wen-Hwa Wu, Chien-Chou Chen, Meng-Xuan Wu, Gwolong Lai

{"title":"Experimental investigations and field applications of a tension estimation method for two linked suspenders using only local vibration measurements","authors":"Wen-Hwa Wu, Chien-Chou Chen, Meng-Xuan Wu, Gwolong Lai","doi":"10.1016/j.rineng.2025.105687","DOIUrl":"10.1016/j.rineng.2025.105687","url":null,"abstract":"<div><div>Traditional vibration-based tension estimation methods are primarily developed for individual stay cables or suspenders, with limited direct applicability to physically linked cable systems. This study advances a mode shape-enhanced approach using local vibration measurements to estimate the tensions of two suspenders connected by an intersection clamp. The methodology is validated through both laboratory experiments and field measurements, with particular emphasis on practical applicability. Laboratory tests on linked steel strands explore the influence of different clamp configurations and slenderness parameters. Results confirm that employing plastic spring clamps improves estimation accuracy for in-plane modes compared to that of C-clamps. Tension estimation errors are kept below 0.5% when the slenderness parameter exceeds 600, and rise to 2% to 3% as it approaches 250. To improve estimation robustness under field conditions, a regression-based mode screening algorithm is introduced. This algorithm refines the selection of vibration modes based on regression consistency rather than fixed thresholds. Field measurements conducted on the Shing-Tong Bridge demonstrate that the proposed method remains reliable despite complex spectral characteristics. For one linked suspender, the estimated tension errors are approximately −3% (out-of-plane) and 1% (in-plane). For another suspender with full sensor coverage, the error is held below 1%. The study demonstrates that accurate and stable tension estimation is achievable for physically linked suspender systems using a practical deployment scheme. The proposed framework offers a scalable solution for long-term monitoring of arch bridge suspender networks under real-world constraints.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 105687"},"PeriodicalIF":6.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144299034","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comprehensive optimisation of the economy and emissions of diesel engines: A full factorial design approach combining the Kriging method, NSGA III, and TOPSIS 柴油发动机的经济和排放的全面优化：一个全因子设计方法结合克里格方法，NSGA III，和TOPSIS

IF 6

Results in Engineering Pub Date : 2025-06-11 DOI: 10.1016/j.rineng.2025.105719

Shichen Yang , Mingjiang Yu , Mingding Wan , Zhengjiang Wang , Yuting Ma , Lizhong Shen , Guisheng Chen , Yuchen Xu

{"title":"Comprehensive optimisation of the economy and emissions of diesel engines: A full factorial design approach combining the Kriging method, NSGA III, and TOPSIS","authors":"Shichen Yang , Mingjiang Yu , Mingding Wan , Zhengjiang Wang , Yuting Ma , Lizhong Shen , Guisheng Chen , Yuchen Xu","doi":"10.1016/j.rineng.2025.105719","DOIUrl":"10.1016/j.rineng.2025.105719","url":null,"abstract":"<div><div>This study proposes a multi-objective optimisation method using a full factorial design and Kriging- non-dominated sorting genetic algorithm (NSGA) III- technique for order preference by similarity to ideal solution (TOPSIS) to reduce fuel and urea consumption and emissions. Experiments were carried out with main injection timing, injection pressure, and exhaust gas recirculation rate as factors. A Kriging model was established, and multi-objective optimisation was performed via NSGA III to obtain Pareto fronts. Results indicated that the Kriging-NSGA-III-TOPSIS method effectively reduced nitrogen oxides, particulate matter, and reduce overall costs. The optimal solution was determined using TOPSIS, achieving a comprehensive score of 0.8225. A new metric, comprehensive economics (CE), combining brake-specific fuel and urea consumption, was introduced to assess diesel engine performance. The CE of the engine was decreased from 212.63 g/kWh to 211.71 g/kWh. BTE, in-cylinder pressure, maximum pressure rise rate, BSCU and original NOx increased by 0.95 %, 3.94 %, 5.74 %, 17.47 % and 25.15 % respectively. BSFC, tailpipe NOx, and original PM decreased by 0.96 %, 93.47 % and 15.24 % respectively. When β < 1.5, the CE performance optimised diesel engine surpassed that of the original engine. This study provides a theoretical basis for optimising the economic performance and emissions of diesel engines.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 105719"},"PeriodicalIF":6.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144280763","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evolution of clogging in porous media during artificial groundwater recharge: A review 地下水人工补给过程中多孔介质堵塞演化研究进展

IF 6

Results in Engineering Pub Date : 2025-06-11 DOI: 10.1016/j.rineng.2025.105712

Esosa Joy Onabote , Olusegun K. Abass

{"title":"Evolution of clogging in porous media during artificial groundwater recharge: A review","authors":"Esosa Joy Onabote , Olusegun K. Abass","doi":"10.1016/j.rineng.2025.105712","DOIUrl":"10.1016/j.rineng.2025.105712","url":null,"abstract":"<div><div>The evolution of clogging in porous media during artificial groundwater recharge (AGWR) is a critical factor influencing the long-term efficiency and sustainability of groundwater recharge systems. Clogging, which results from the accumulation of physical, chemical, and biological materials within the pore spaces of aquifers, can significantly reduce recharging rates and damage the system’s performance. This review explores the mechanisms and progression of clogging in porous media, focusing on key contributors such as the deposition of suspended particles, microbial biofilm formation, chemical precipitation, gas entrapment and other parameters. The interplay of hydrogeochemical conditions, including pH, ionic composition, and redox potential, further influences clogging dynamics. Furthermore, the review highlights the role of operational parameters such as injection rates and water quality, in exacerbating clogging. Advanced monitoring techniques, predictive modelling, and preventive strategies, including pre-treatment of recharge water and periodic maintenance are emphasized as essential tools to manage clogging evolution. By understanding the temporal and spatial progression of clogging, optimized AGWR systems can be designed to enhance recharge efficiency and ensure sustainable groundwater management. This study underscores the need for integrated approaches that address the multifaceted nature of clogging to improve the resilience and effectiveness of AGWR systems globally.</div></div>","PeriodicalId":36919,"journal":{"name":"Results in Engineering","volume":"27 ","pages":"Article 105712"},"PeriodicalIF":6.0,"publicationDate":"2025-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0