Journal of Engineering Research最新文献_第3页

The effect of aging heat treatment on the formability and microstructure of the AA6063 tube in the rotary draw bending process 时效热处理对AA6063管旋转拉伸弯曲成形性能和组织的影响

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.10.017

Majid Elyasi , Hossein Talebi-Ghadikolaee , Ali Zeinolabedin-Beygi , Vahid Modanloo , Farzad Ahmadi Khatir

This research delves into the impact of aging heat treatment on both the formability and microstructural characteristics of 6063 aluminum tubes when subjected to the rotary draw bending (RDB) procedure. To ascertain a heat treatment regimen that can yield desirable hardness and formability for the bending process, the tube was subjected to T3, T6, and annealing heat treatment cycles under diverse conditions and subsequently the tube's bendability was evaluated. The findings indicate that as temperature and dissolution time are raised, there is a corresponding rise in the extent of elliptical deformation, consequently resulting in higher hardness values. The research outcomes suggest that elevating both temperature and dissolution time leads to a more pronounced elliptical shape in the bent sample. For instance, when subjected to heat treatment at 530 °C and 545 °C for 60 min, the samples exhibited respective increases in ellipticity of 5.30 % and 4.34 % compared to those treated for just 30 min. Additionally, higher internal pressure led to a reduction in the degree of elliptical deformation, notably a decrease of 9.85 % observed at a pressure of 20 bar. Moreover, the hardness of samples subjected to the T3 cycle exhibited an upward trend with increasing both temperature and duration of heat treatment. To elaborate, the hardness measurements were conducted at three distinct temperatures (530 °C, 545 °C, and 560 °C) and four different durations (30, 45, 60, and 75 min). The sample subjected to a 75-minute heat treatment at 560 °C exhibited the highest recorded hardness value, measuring at 62.55 HV. In summary, the results indicate that aging heat treatment can enhance the formability of 6063 aluminum tubes during the RDB process. Furthermore, it is noteworthy that temperature and internal pressure serve as crucial parameters to control in order to mitigate elliptical deformation and enhance hardness.

研究了时效热处理对6063铝管旋转拉伸弯曲成形性能和微观组织特性的影响。为了确定能够在弯曲过程中产生理想硬度和成形性的热处理方案，管子在不同条件下进行了T3, T6和退火热处理循环，随后评估了管子的可弯曲性。结果表明，随着温度和溶解时间的升高，椭圆变形的程度相应增大，硬度值也相应增大。研究结果表明，温度和溶解时间的升高会导致弯曲试样的椭圆形状更加明显。例如，当样品在530°C和545°C下热处理60分钟时，与仅处理30分钟的样品相比，样品的椭圆率分别增加了5.30%和4.34%。此外，较高的内压导致椭圆变形程度的降低，特别是在20 bar压力下观察到的降低9.85%。随着热处理温度的升高和热处理时间的延长，试样的硬度呈上升趋势。为了详细说明，硬度测量在三种不同的温度(530°C, 545°C和560°C)和四种不同的持续时间(30,45,60和75分钟)下进行。在560℃下经过75分钟热处理的样品显示出最高的硬度值，测量值为62.55 HV。综上所述，时效热处理可以提高6063铝管RDB成形性能。此外，温度和内压是控制椭圆变形和提高硬度的关键参数。

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引用次数: 0

A comprehensive study of groundbreaking machine learning research: Analyzing highly cited and impactful publications across six decades 开创性机器学习研究的综合研究:分析六十年来高引用和有影响力的出版物

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.10.027

Absalom E. Ezugwu , Japie Greeff , Yuh-Shan Ho

Machine learning (ML) has emerged as a prominent field of research in computer science and other related fields, thereby driving advancements in other domains of interest. As the field continues to evolve, it is crucial to understand the landscape of highly cited publications to identify key trends, influential authors, and significant contributions made thus far. In this paper, we present a comprehensive bibliometric analysis of highly cited ML publications. We collected a dataset consisting of the top-cited papers from reputable ML conferences and journals, covering a period of several years from 1959 to 2022. We employed various bibliometric techniques to analyze the data, including citation analysis, co-authorship analysis, keyword analysis, and publication trends. Our findings reveal the most influential papers, highly cited authors, and collaborative networks within the machine learning community. We identify popular research themes and uncover emerging topics that have recently gained significant attention. Furthermore, we examine the geographical distribution of highly cited publications, highlighting the dominance of certain countries in ML research. By shedding light on the landscape of highly cited ML publications, our study provides valuable insights for researchers, policymakers, and practitioners seeking to understand the key developments and trends in this rapidly evolving field.

机器学习(ML)已经成为计算机科学和其他相关领域的一个重要研究领域，从而推动了其他感兴趣领域的进步。随着该领域的不断发展，了解高被引出版物的格局，以确定关键趋势、有影响力的作者和迄今为止做出的重大贡献，是至关重要的。在本文中，我们提出了一个全面的文献计量分析高引用ML出版物。我们收集了一个由著名ML会议和期刊上被引用最多的论文组成的数据集，涵盖了从1959年到2022年的几年时间。我们采用了各种文献计量学技术来分析数据，包括引文分析、合著分析、关键词分析和出版趋势。我们的研究结果揭示了机器学习社区中最具影响力的论文、高被引作者和合作网络。我们确定了流行的研究主题，并揭示了最近获得重大关注的新兴主题。此外，我们研究了高被引出版物的地理分布，突出了某些国家在机器学习研究中的主导地位。通过揭示高引用ML出版物的景观，我们的研究为研究人员，政策制定者和从业者寻求了解这个快速发展领域的关键发展和趋势提供了有价值的见解。

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引用次数: 0

A comprehensive literature review on friction stir welding: Process parameters, joint integrity, and mechanical properties 全面的文献综述搅拌摩擦焊:工艺参数，接头完整性和力学性能

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.09.005

Suleyman Kilic , Fahrettin Ozturk , Mehmet Fatih Demirdogen

Friction stir welding is not only a solid-state joining method used mostly for metals and alloys, but also, used for joining various polymer materials. This literature review includes information about the process parameters, joint integrity, and mechanical properties of FSW welded joints. Process parameters have a great influence on the quality of the weld joints. In particular, basic process variables such as tool design, rotational speed, welding speed, and axial force were reviewed in this study. By optimizing these process parameters, weld strength can be increased by minimizing welding defects. In addition, the effects of the FSW method on mechanical properties such as hardness, tensile, and fatigue behaviors were discussed. Finally, some suggestions were made for using the method. This literature review aims to be a resource for researchers and those interested in the FSW method to make decisions based on process optimization, design, and material selection.

引用次数: 0

Vaccine supply chain network design by considering viability, robustness and risk 考虑可行性、稳健性和风险的疫苗供应链网络设计

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.10.007

Reza Lotfi , Reza Mohammad Shafiei , Masoumeh Ghavami Komeleh , Fatemeh Gholizadeh Pasha , Mohammad Ferasat

This study aims to develop a solution for the Viable Vaccine Supply Chain Network Design (VVSCND) problem, which concurrently addresses multiple factors such as sustainability, resiliency, agility, risk, and robustness. To achieve this, the researchers propose a Mixed-Integer Linear Programming (MILP) model based on a Robust Stochastic Programming (RSP) approach, which minimizes the weighted expected and max cost function. Furthermore, the research considers factors such as limiting CO₂ emissions, introducing flexible capacity, and ensuring the reliability and redundancy of facilities to establish a more agile and environmentally sustainable supply chain. The key decisions in the proposed methodology involve determining facility location and product flow within an efficient healthcare system. According to the findings, the cost function of the VVSCND problem was only marginally higher, by 0.04%, than its counterpart in a VSCND that did not consider any risks or worst-case scenarios. However, increasing the conservatism coefficient or agility coefficient by 50% and 10%, respectively, leads to similar increases in the cost function. Similarly, the resiliency coefficient has a direct relationship with the cost function. Overall, the study demonstrates that an optimal VSCND can be achieved by considering multiple factors through RSP-based MILP modeling.

本研究旨在开发可行疫苗供应链网络设计(VVSCND)问题的解决方案，同时解决可持续性、弹性、敏捷性、风险和鲁棒性等多个因素。为了实现这一目标，研究人员提出了一种基于鲁棒随机规划(RSP)方法的混合整数线性规划(MILP)模型，该模型最小化了加权期望函数和最大成本函数。此外，该研究还考虑了诸如限制二氧化碳排放、引入灵活产能以及确保设施的可靠性和冗余等因素，以建立一个更加灵活和环境可持续的供应链。提出的方法中的关键决策包括确定高效医疗保健系统中的设施位置和产品流。根据研究结果，VVSCND问题的成本函数仅比不考虑任何风险或最坏情况的VSCND问题的成本函数略高0.04%。然而，将保守性系数或敏捷性系数分别增加50%和10%，成本函数也会有类似的增加。同样，弹性系数与成本函数有直接关系。总体而言，研究表明，通过基于rsp的MILP建模，可以考虑多种因素，从而获得最优的VSCND。

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引用次数: 0

Experimental and numerical investigation of PCMS on ceilings for thermal management 天花板热管理用PCMS的实验与数值研究

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.08.023

Arivazhagan R , Antony Aroul Raj V , Geetha NB , Pandiyarajan R

In this study, experimental investigation of phase change materials (PCM) integrated into building on ceilings was assessed for thermal management capabilities by comparing two building test models with and without PCM based on fluctuation in PCM temperatures owing to ambient temperature variations. Commercial organic PCM (OM-30) with a peak melting point of 31.1⁰ C was used as PCM with high-density polyethylene (HDPE) as the encapsulation. Differential scanning calorimeter (DSC) was used to examine the thermophysical characteristics of PCM such as phase transition temperature, latent heat, and specific heat capacity. The various PCM temperature ranges included for the study are (i) Above phase change melting temperature range ii) within Phase Change melting temperature range iii) Proximity to PCM onset melting temperature range iv) proximity to PCM end melting temperature range. Under free-floating ambient Condition, the indoor air temperature was dropped in PCM installed room up to 1.69 °C, 5.79 °C, 2.26 °C, & − 2.87 °C compared to without PCM room for a PCM Melting temperature difference of 8.77 °C,1.55 °C, 1 °C & 0.44 °C respectively. Also, it was divulged that the PCM utilized 3.2%, 31.4%, 6.9%, & 12.27% of the total latent heat energy deployed in order to produce a temperature difference of 1.69 °C, 5.79 °C, 2.26 °C, & − 2.87 °C compared to without PCM room.

在本研究中，通过比较有相变材料(PCM)和没有相变材料(PCM)的两种建筑测试模型，基于环境温度变化导致的相变材料温度波动，对建筑天花板上集成相变材料(PCM)的热管理能力进行了实验研究。采用峰值熔点为31.10℃的商品有机PCM (OM-30)为PCM，高密度聚乙烯(HDPE)为包封材料。采用差示扫描量热仪(DSC)研究了相变温度、潜热、比热容等相变材料的热物理特性。本研究包括的各种PCM温度范围是(i)相变熔化温度范围以上ii)相变熔化温度范围内iii)接近PCM开始熔化温度范围iv)接近PCM结束熔化温度范围。在自由浮动环境条件下，安装PCM的房间与未安装PCM的房间相比，室内空气温度分别下降了1.69℃、5.79℃、2.26℃和-2.87℃，PCM熔化温差分别为8.77 oC、1.55 oC、1 oC和0.44 oC。此外，据透露，为了产生1.69°C, 5.79°C, 2.26°C和-2.87°C的温差，与没有PCM的房间相比，PCM利用了总潜热能量的3.2%，31.4%，6.9%和12.27%。

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引用次数: 0

An end-to-end Tacotron model versus pre trained Tacotron model for Arabic text-to-speech synthesis 端到端Tacotron模型与阿拉伯语文本到语音合成的预训练Tacotron模型

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.08.016

A.M. Mutawa

Text-to-Speech (TTS) systems turn normal text into spoken language, which is important for accessibility and user interaction. Many of these systems make speech from phonetic or phonemic transcriptions, but another way is to make speech by connecting together pre-recorded units from a database. The size of the units varies, from diphones to whole phrases. Even though this method covers a lot of ground, it sometimes needs more clarity, especially when high-quality output requires storing whole words or phrases in certain situations. Synthesizers can also use the way humans talk and the way their vocal tracts work to make voices. The Arabic language is hard to develop TTS methods for, as a result of its complicated morphology, semantic nuances, and many different dialects. These dialects often have a lot of differences from standard Arabic and don't follow formal rules for spelling. This means that traditional Arabic that hasn't been edited often has spelling and grammar mistakes. In this study, we show and test a Tacotron model that was made just for Arabic TTS synthesis from beginning to end. This model uses the richness of acoustic information in audio files, such as frequency and pitch, to make naturalistic speech that sounds a lot like what humans say. We also compare the performance of this model with that of a pre-trained Tacotron model applied to Arabic text. This gives us important information about how well Arabic TTS systems work and where they could be improved.

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引用次数: 0

Modified maximum likelihood space registration method for shipborne multi-radar signal processing 舰载多雷达信号处理的改进最大似然空间配准方法

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.09.035

Jianghuai Pan

Aiming at the spatial registration problem for networking of multi-platform shipborne radars, a modified maximum likelihood (MML) absolute registration algorithm based on singular value decomposition (SVD) is proposed. Firstly, the four major biases (radar detection biases, platform positioning biases, attitude biases, and baseline conversion biases) which affect shipborne radar detection are analyzed, and an equivalent model of shipborne radar detection biases is established to make the bias parameters more efficiently. Secondly, the maximum likelihood registration method is improved. According to the singular value decomposition, the conditional index is used to evaluate the observability in the maximum likelihood registration method in realtime, and the abnormal conditional index is corrected to effectively reduce the fluctuation of the bias estimation. Finally, the simulation results of two different scenarios are conducted, and the results show that the new method has significant improvements in estimation accuracy and algorithm stability compared with the existing algorithms.

针对多平台舰载雷达组网中的空间配准问题，提出了一种基于奇异值分解(SVD)的改进最大似然绝对配准算法。首先，分析了影响舰载雷达探测的四种主要偏差(雷达探测偏差、平台定位偏差、姿态偏差和基线转换偏差)，并建立了舰载雷达探测偏差的等效模型，使偏差参数更加有效。其次，对最大似然配准方法进行了改进。在极大似然配准方法中，根据奇异值分解，采用条件指标实时评价可观测性，并对异常条件指标进行修正，有效降低了偏差估计的波动。最后，对两种不同场景进行了仿真，结果表明，与现有算法相比，新方法在估计精度和算法稳定性方面都有显著提高。

引用次数: 0

Use of recycled aggregates as filter support and filter media for decentralized water filtration systems 使用再生骨料作为分散式水过滤系统的过滤支撑和过滤介质

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.10.016

Anupriya Verma , Roza Yalem , Gaurav Saini

Clean drinking water is crucial for maintaining public health and can be considered a fundamental right of people. Unfortunately, access to potable water is limited for residents of developing and underdeveloped countries, especially in rural communities. Conventional treatment systems for such regions are challenging in terms of installation, operation, and maintenance. An emerging problem of rapid urbanization and proliferating construction industry is huge quantities of Construction and Demolition (C & D) waste, which needs proper reuse and/or disposal. A simultaneous solution to these twin problems is the formulation of a decentralized water filtration system using C & D waste aggregates. In the current study, small-scale (5-lt capacity), decentralized water filtration systems were designed and tested for the treatment of surface water samples. Fresh aggregates were replaced by C & D waste aggregates progressively in the drainage media, support media, and filter media; resulting in a total of seven test filtration devices. The effectiveness of such filters was evaluated for treating river water samples. It was found that the filters prepared with C & D waste aggregates were successful in the removal of turbidity, total solids, and total dissolved solids (TDS). Removal efficiencies up to 98% for turbidity, 86% for total solids, and 61% for the TDS were observed for different combinations of fresh and recycled aggregates in these filters. The results also show that filters made with only recycled aggregates can also yield high levels of contaminant removal and cleaner water. Further, the color and odor of the raw water were also significantly improved. These results show that C & D waste can be successfully incorporated into decentralized water treatment systems and can result in high-quality water through low-cost and low-tech, easy-to-maintain/operate devices.

清洁饮用水对维持公众健康至关重要，可被视为人民的一项基本权利。不幸的是，发展中国家和不发达国家的居民获得饮用水的机会有限，特别是在农村社区。这些地区的常规处理系统在安装、操作和维护方面具有挑战性。随着城市化的快速发展和建筑业的蓬勃发展，大量的建筑拆迁垃圾成为一个新问题，需要适当的再利用和处置。解决这两个问题的同时解决方案是使用C和D废物集料制定分散式水过滤系统。在目前的研究中，设计并测试了小型(5-lt容量)分散式水过滤系统，用于处理地表水样品。在排水介质、支撑介质和过滤介质中，新鲜骨料逐步被废骨料取代;结果共测试了七个过滤装置。对这种过滤器处理河流水样的效果进行了评价。结果表明，用c&d废骨料制备的过滤器在去除浊度、总固形物和总溶解固形物(TDS)方面取得了成功。在这些过滤器中观察到不同组合的新鲜和再生骨料对浊度的去除效率高达98%，对总固体的去除效率为86%，对TDS的去除效率为61%。研究结果还表明，仅用再生骨料制成的过滤器也能产生高水平的污染物去除和更清洁的水。此外，原水的颜色和气味也有明显改善。这些结果表明，c&d废物可以成功地纳入分散式水处理系统，通过低成本、低技术含量、易于维护/操作的设备，可以获得高质量的水。

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引用次数: 0

The impact of window orientation, glazing, and window-to-wall ratio on the heating and cooling energy of an office building: The case of hot and semi-arid climate 窗户朝向、玻璃和窗墙比对办公楼冷暖能量的影响——以炎热半干旱气候为例

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.10.034

Ahmed Emad Ahmed , Mahmood Sh. Suwaed , Ahmed Mohammed Shakir , Ahmed Ghareeb

Adopting suitable design strategies in buildings throughout the design stage provides increased energy-saving potential. In this study, factors influencing window design, such as the window-to-wall ratio (WWR) and window orientation, along with different glazing materials, are being investigated in the city of Kirkuk, Iraq for possible energy consumption reduction. The study presents a simulation-based analysis on a typical office building in the area; evaluating four WWRs, four orientations, and three window glazing materials, e.g., clear, gray, and theoretical, as well as single and double-glazed windows. The results indicate that minimum heating consumption could be achieved with double clear glass for south-facing windows if WWR was 100 %. For north-facing windows, minimum cooling consumption is achieved with double theoretical-197 glass with a 25 % WWR. These measures can be utilized by architects and construction managers to communicate information to customers in an understandable manner and make better window design decisions.

在整个设计阶段采用合适的设计策略，可提高建筑物的节能潜力。在这项研究中，正在伊拉克基尔库克市调查影响窗户设计的因素，如窗墙比(WWR)和窗户朝向，以及不同的玻璃材料，以减少可能的能源消耗。本研究对该地区的典型办公楼进行了仿真分析;评估了四种WWRs，四种朝向和三种窗户玻璃材料，例如透明，灰色和理论，以及单层和双层玻璃窗。结果表明，当水比为100%时，南向窗户采用双层透明玻璃可以达到最低的采暖消耗。对于朝北的窗户，最小的冷却消耗是采用双理论-197玻璃，25%的水冷比。建筑师和施工经理可以利用这些措施以一种易于理解的方式与客户沟通信息，从而做出更好的窗口设计决策。

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引用次数: 0

An integration of PSO-ANN and ANFIS hybrid models to predict surface quality, cost, and energy (QCE) during milling of alloy 2017A 结合PSO-ANN和ANFIS混合模型预测合金2017A铣削过程中的表面质量、成本和能量(QCE)

IF 0.9 4区工程技术 Q3 ENGINEERING, MULTIDISCIPLINARY

Journal of Engineering Research

Pub Date : 2025-03-01 DOI: 10.1016/j.jer.2023.09.016

Kamel Bousnina, Anis Hamza, Noureddine Ben Yahia

An alarming pace of increase in worldwide energy consumption is being caused by population expansion and economic development, particularly in emerging market countries. Due to their efficiency and reproducibility in accomplishing high-precision machining, CNC machine tools are widely employed in most metal machining processes. The use of simple machining features to search for the assignment of cutting parameters and the machining process on the output variables is limited since a part, in reality, can contain complex interacting features. Therefore, this study focuses on pocket/groove features by integrating grey relational analysis (GRA) and hybrid PSO-ANN and ANFIS algorithms to optimize and predict surface quality, cost and energy consumption (QCE). Taking into account the population size of the swarm (pop) and the number of neurons (n) in the hidden layer, a parametric study was carried out to find the best prediction using the hybrid algorithm PSO-ANN. This study reported the highest trained correlation values (R²) for all output variables (greater than 0.97%). The study shows that the assignment of machining strategies and sequences on energy consumption can reach 99.25% between the minimum and maximum values. The mean square error (MSE) data demonstrates that the PSO-ANN model is effective. Indeed, an MSE improvement of 99.84%, 99.87%, and 97.62% has been demonstrated in terms of E_tot, C_tot, and Ra, respectively, of the PSO-ANN model compared to ANFIS. This study reveals the potential of the PSO-ANN hybrid for multi-criteria prediction (quality, cost, and energy: QCE) by comparing it with the ANFIS model.

由于人口增长和经济发展，特别是在新兴市场国家，全球能源消费正以惊人的速度增长。由于数控机床在实现高精度加工方面的高效性和可重复性，在大多数金属加工过程中得到了广泛的应用。由于零件在现实中可能包含复杂的相互作用特征，因此使用简单的加工特征来搜索切削参数的分配和加工过程对输出变量的影响是有限的。因此，本研究主要通过灰色关联分析(GRA)和混合粒子群神经网络(PSO-ANN)和ANFIS算法来优化和预测表面质量、成本和能耗(QCE)。考虑到群体的总体大小(pop)和隐藏层的神经元数量(n)，采用PSO-ANN混合算法进行参数化研究，寻找最佳预测结果。本研究报告了所有输出变量的最高训练相关值(R2)(大于0.97%)。研究表明，加工策略和顺序对能耗的分配在最小值和最大值之间可达99.25%。均方误差(MSE)数据表明PSO-ANN模型是有效的。事实上，与ANFIS相比，PSO-ANN模型的Etot、Ctot和Ra的MSE分别提高了99.84%、99.87%和97.62%。本研究通过与ANFIS模型进行比较，揭示了PSO-ANN混合模型在多准则预测(质量、成本和能量:QCE)方面的潜力。

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引用次数: 0