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VR-based digital twin for remote monitoring of mining equipment: Architecture and a case study 基于虚拟现实技术的数字孪生系统,用于远程监控采矿设备:架构和案例研究
Q1 Computer Science Pub Date : 2024-04-01 DOI: 10.1016/j.vrih.2023.12.002
Jovana Plavšić, Ilija Mišković

Background

Traditional methods for monitoring mining equipment rely primarily on visual inspections, which are time-consuming, inefficient, and hazardous. This article introduces a novel approach to monitoring mission-critical systems and services in the mining industry by integrating virtual reality (VR) and digital twin (DT) technologies. VR-based DTs enable remote equipment monitoring, advanced analysis of machine health, enhanced visualization, and improved decision making.

Methods

This article presents an architecture for VR-based DT development, including the developmental stages, activities, and stakeholders involved. A case study on the condition monitoring of a conveyor belt using real-time synthetic vibration sensor data was conducted using the proposed methodology. The study demonstrated the application of the methodology in remote monitoring and identified the need for further development for implementation in active mining operations. The article also discusses interdisciplinarity, choice of tools, computational resources, time and cost, human involvement, user acceptance, frequency of inspection, multiuser environment, potential risks, and applications beyond the mining industry.

Results

The findings of this study provide a foundation for future research in the domain of VR-based DTs for remote equipment monitoring and a novel application area for VR in mining.

背景传统的采矿设备监控方法主要依靠目视检查,这种方法耗时长、效率低且危险。本文介绍了一种通过整合虚拟现实(VR)和数字孪生(DT)技术来监控采矿业关键任务系统和服务的新方法。方法本文介绍了基于虚拟现实技术的数字孪生技术开发架构,包括开发阶段、活动和所涉及的利益相关者。使用所提出的方法,对使用实时合成振动传感器数据进行传送带状态监测的案例进行了研究。该研究展示了该方法在远程监控中的应用,并确定了在主动采矿作业中实施该方法所需的进一步开发。文章还讨论了跨学科性、工具选择、计算资源、时间和成本、人工参与、用户接受度、检测频率、多用户环境、潜在风险以及采矿业以外的应用。
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引用次数: 0
Towards engineering a portable platform for laparoscopic pre-training in virtual reality with haptic feedback 在虚拟现实中利用触觉反馈设计便携式腹腔镜术前培训平台
Q1 Computer Science Pub Date : 2024-04-01 DOI: 10.1016/j.vrih.2023.10.007
Hans-Georg Enkler , Wolfgang Kunert , Stefan Pfeffer , Kai-Jonas Bock , Steffen Axt , Jonas Johannink , Christoph Reich

Background

Laparoscopic surgery is a surgical technique in which special instruments are inserted through small incision holes inside the body. For some time, efforts have been made to improve surgical pre-training through practical exercises on abstracted and reduced models.

Methods

The authors strive for a portable, easy to use and cost-effective Virtual Reality-based (VR) laparoscopic pre-training platform and therefore address the question of how such a system has to be designed to achieve the quality of today's gold standard using real tissue specimens. Current VR controllers are limited regarding haptic feedback. Since haptic feedback is necessary or at least beneficial for laparoscopic surgery training, the platform to be developed consists of a newly designed prototype laparoscopic VR controller with haptic feedback, a commercially available head-mounted display, a VR environment for simulating a laparoscopic surgery, and a training concept.

Results

To take full advantage of benefits such as repeatability and cost-effectiveness of VR-based training, the system shall not require a tissue sample for haptic feedback. It is currently calculated and visually displayed to the user in the VR environment. On the prototype controller, a first axis was provided with perceptible feedback for test purposes. Two of the prototype VR controllers can be combined to simulate a typical both-handed use case, e.g., laparoscopic suturing. A Unity-based VR prototype allows the execution of simple standard pre-trainings.

Conclusions

The first prototype enables full operation of a virtual laparoscopic instrument in VR. In addition, the simulation can compute simple interaction forces. Major challenges lie in a realistic real-time tissue simulation and calculation of forces for the haptic feedback. Mechanical weaknesses were identified in the first hardware prototype, which will be improved in subsequent versions. All degrees of freedom of the controller are to be provided with haptic feedback. To make forces tangible in the simulation, characteristic values need to be determined using real tissue samples. The system has yet to be validated by cross-comparing real and VR haptics with surgeons.

背景腹腔镜手术是一种通过体内小切口插入特殊器械的外科技术。一段时间以来,人们一直在努力通过在抽象化和缩小的模型上进行实际练习来改善手术前培训。方法作者致力于开发一种便携式、易于使用且具有成本效益的基于虚拟现实技术(VR)的腹腔镜手术前培训平台,因此解决了这样一个问题:如何设计这样一个系统,才能利用真实组织标本达到当今黄金标准的质量。目前的 VR 控制器在触觉反馈方面受到限制。由于触觉反馈对于腹腔镜手术培训是必要的,或者至少是有益的,因此要开发的平台包括一个新设计的带有触觉反馈的腹腔镜 VR 控制器原型、一个市场上可买到的头戴式显示器、一个用于模拟腹腔镜手术的 VR 环境和一个培训概念。目前,它是通过计算得出的,并在 VR 环境中直观地显示给用户。在原型控制器上,第一轴提供了可感知的反馈,用于测试目的。两个原型 VR 控制器可以组合起来模拟典型的双手使用情况,例如腹腔镜缝合。基于 Unity 的 VR 原型允许执行简单的标准预培训。此外,模拟还能计算简单的相互作用力。主要挑战在于逼真的实时组织模拟和触觉反馈力的计算。在第一个硬件原型中发现了机械方面的弱点,并将在后续版本中加以改进。控制器的所有自由度都将提供触觉反馈。为了使模拟中的力有形化,需要使用真实的组织样本来确定特征值。该系统还有待通过与外科医生交叉比较真实和 VR 触觉来进行验证。
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引用次数: 0
Exploring the effect of fingertip aero-haptic feedforward cues in directing eyes-free target acquisition in VR 探索指尖气动触觉前馈线索在 VR 中引导无眼目标获取的效果
Q1 Computer Science Pub Date : 2024-04-01 DOI: 10.1016/j.vrih.2023.12.001
Xiaofei Ren , Jian He , Teng Han , Songxian Liu , Mengfei Lv , Rui Zhou

Background

The sense of touch plays a crucial role in interactive behavior within virtual spaces, particularly when visual attention is absent. Although haptic feedback has been widely used to compensate for the lack of visual cues, the use of tactile information as a predictive feedforward cue to guide hand movements remains unexplored and lacks theoretical understanding.

Methods

This study introduces a fingertip aero-haptic rendering method to investigate its effectiveness in directing hand movements during eyes-free spatial interactions. The wearable device incorporates a multichannel micro-airflow chamber to deliver adjustable tactile effects on the fingertips.

Results

The first study verified that tactile directional feedforward cues significantly improve user capabilities in eyes-free target acquisition and that users rely heavily on haptic indications rather than spatial memory to control their hands. A subsequent study examined the impact of enriched tactile feedforward cues on assisting users in determining precise target positions during eyes-free interactions, and assessed the required learning efforts.

Conclusions

The haptic feedforward effect holds great practical promise in eyeless design for virtual reality. We aim to integrate cognitive models and tactile feedforward cues in the future, and apply richer tactile feedforward information to alleviate users' perceptual deficiencies.

背景触觉在虚拟空间的交互行为中发挥着至关重要的作用,尤其是在视觉注意力缺失的情况下。尽管触觉反馈已被广泛用于弥补视觉线索的不足,但将触觉信息作为引导手部动作的预测性前馈线索仍有待探索,也缺乏理论上的理解。方法本研究引入了一种指尖气动触觉渲染方法,以研究其在无视觉空间交互过程中引导手部动作的有效性。结果第一项研究验证了触觉方向前馈提示可显著提高用户在无眼目标获取中的能力,而且用户在很大程度上依赖触觉指示而非空间记忆来控制双手。随后的一项研究考察了丰富的触觉前馈提示对协助用户在无眼交互过程中确定精确目标位置的影响,并评估了所需的学习努力。 结论触觉前馈效应在虚拟现实的无眼设计中具有巨大的实用前景。我们的目标是在未来整合认知模型和触觉前馈线索,并应用更丰富的触觉前馈信息来缓解用户的感知缺陷。
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引用次数: 0
Chemical simulation teaching system based on virtual reality and gesture interaction 基于虚拟现实和手势交互的化学模拟教学系统
Q1 Computer Science Pub Date : 2024-04-01 DOI: 10.1016/j.vrih.2023.09.001
Dengzhen Lu , Hengyi Li , Boyu Qiu , Siyuan Liu , Shuhan Qi

Background

Most existing chemical experiment teaching systems lack solid immersive experiences, making it difficult to engage students. To address these challenges, we propose a chemical simulation teaching system based on virtual reality and gesture interaction.

Methods

The parameters of the models were obtained through actual investigation, whereby Blender and 3DS MAX were used to model and import these parameters into a physics engine. By establishing an interface for the physics engine, gesture interaction hardware, and virtual reality (VR) helmet, a highly realistic chemical experiment environment was created. Using code script logic, particle systems, as well as other systems, chemical phenomena were simulated. Furthermore, we created an online teaching platform using streaming media and databases to address the problems of distance teaching.

Results

The proposed system was evaluated against two mainstream products in the market. In the experiments, the proposed system outperformed the other products in terms of fidelity and practicality.

Conclusions

The proposed system which offers realistic simulations and practicability, can help improve the high school chemistry experimental education.

背景现有的化学实验教学系统大多缺乏扎实的沉浸式体验,难以吸引学生。为了应对这些挑战,我们提出了基于虚拟现实和手势交互的化学模拟教学系统。方法通过实际调查获得模型参数,然后使用 Blender 和 3DS MAX 进行建模,并将这些参数导入物理引擎。通过为物理引擎、手势交互硬件和虚拟现实(VR)头盔建立接口,创建了一个高度逼真的化学实验环境。利用代码脚本逻辑、粒子系统以及其他系统,模拟了化学现象。此外,我们还利用流媒体和数据库创建了一个在线教学平台,以解决远程教学的问题。在实验中,所提出的系统在逼真度和实用性方面均优于其他产品。结论所提出的系统具有逼真的模拟效果和实用性,有助于改善高中化学实验教学。
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引用次数: 0
Large-scale spatial data visualization method based on augmented reality 基于增强现实技术的大规模空间数据可视化方法
Q1 Computer Science Pub Date : 2024-04-01 DOI: 10.1016/j.vrih.2024.02.002
Xiaoning Qiao , Wenming Xie , Xiaodong Peng , Guangyun Li , Dalin Li , Yingyi Guo , Jingyi Ren

Background

A task assigned to space exploration satellites involves detecting the physical environment within a certain space. However, space detection data are complex and abstract. These data are not conducive for researchers' visual perceptions of the evolution and interaction of events in the space environment.

Methods

A time-series dynamic data sampling method for large-scale space was proposed for sample detection data in space and time, and the corresponding relationships between data location features and other attribute features were established. A tone-mapping method based on statistical histogram equalization was proposed and applied to the final attribute feature data. The visualization process is optimized for rendering by merging materials, reducing the number of patches, and performing other operations.

Results

The results of sampling, feature extraction, and uniform visualization of the detection data of complex types, long duration spans, and uneven spatial distributions were obtained. The real-time visualization of large-scale spatial structures using augmented reality devices, particularly low-performance devices, was also investigated.

Conclusions

The proposed visualization system can reconstruct the three-dimensional structure of a large-scale space, express the structure and changes in the spatial environment using augmented reality, and assist in intuitively discovering spatial environmental events and evolutionary rules.

背景空间探测卫星的任务是探测一定空间内的物理环境。然而,空间探测数据既复杂又抽象。方法提出了一种大尺度空间时间序列动态数据采样方法,用于对探测数据进行时空采样,并建立了数据位置特征与其他属性特征之间的对应关系。提出了一种基于统计直方图均衡化的色调映射方法,并将其应用于最终的属性特征数据。通过合并素材、减少补丁数量等操作,优化了可视化过程的渲染效果。 结果对类型复杂、时间跨度长、空间分布不均匀的检测数据进行了采样、特征提取和统一可视化处理,取得了良好的效果。结论所提出的可视化系统可以重建大尺度空间的三维结构,利用增强现实技术表达空间环境的结构和变化,并有助于直观地发现空间环境事件和演化规则。
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引用次数: 0
Regulation of toxins and bioregulators under the Chemical Weapons Convention and the Biological and Toxin Weapons Convention 根据《化学武器公约》和《生物和毒素武器公约》对毒素和生物调节剂进行监管
Q1 Social Sciences Pub Date : 2024-03-30 DOI: 10.1016/j.jobb.2024.03.003
Michael Crowley, Malcolm Dando

In this paper we highlight how the apparent double coverage of toxins and bioregulators by both the Biological and Toxin Weapons Convention (BTWC) and the Chemical Weapons Convention (CWC) in fact masks a regulatory gap that has left such potentially dangerous agents neglected by both the control regimes during a period of rapid advances in relevant chemical, life and associated sciences and technologies. We first review what toxins, bioregulators and other mid-spectrum agents are and why they are of such concern and then examine how they are regulated under the BTWC and CWC. This paper then examines an illustrative range of contemporary chemical and life science research and associated activities of concern drawn from case study research on China, India, Iran, Russia, Syria and the United States, and assesses how the CWC and BTWC States Parties have inadequately addressed these threats. We then examine how both the CWC and BTWC Review Conferences failed to address these long-term challenges, and we end by providing a series of recommendations for how both regimes can be strengthened in this area.

在本文中,我们将强调《生物和毒素武器公约》(BTWC)和《化学武器公约》(CWC)表面上对毒素和生物调节剂的双重覆盖,实际上如何掩盖了一个监管漏洞,在相关化学、生命和相关科学与技术快速发展的时期,这一漏洞使得这些潜在危险制剂被这两个管制制度所忽视。我们首先回顾了什么是毒素、生物抑制剂和其他中谱物剂以及它们为何如此令人担忧,然后研究了《生物和毒素武器公约》和《化学武器公约》是如何对它们进行监管的。然后,本文通过对中国、印度、伊朗、俄罗斯、叙利亚和美国的案例研究,对一系列令人担忧的当代化学和生命科学研究及相关活动进行了分析,并评估了《化学武器公约》和《生物和毒素武器公约》缔约国如何未能充分应对这些威胁。然后,我们研究了《化学武器公约》和《生物和毒素武器公约》审议大会是如何未能应对这些长期挑战的,最后我们就如何在这一领域加强这两个制度提出了一系列建议。
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引用次数: 0
DoWNet—classification of Denial-of-Wallet attacks on serverless application traffic DoWNet 对无服务器应用程序流量中的拒绝钱包攻击进行分类
IF 3.9 Q1 Social Sciences Pub Date : 2024-03-23 DOI: 10.1093/cybsec/tyae004
Daniel Kelly, Frank G Glavin, Enda Barrett
Serverless computing is an ever-growing programming paradigm being adopted by developers all over the world. Its highly scalable, automatic load balancing, and pay for what you use design is a powerful tool that can also greatly reduce operational costs. However, these advantages also leave serverless computing open to a unique threat, Denial-of-Wallet (DoW). It is the intentional targeting of serverless function endpoints with request traffic in order to artificially raise the usage bills for the application owner. A subset of these attacks are leeches. They perform DoW at a rate that could go undetected as it is not a sudden violent influx of requests. We devise a means of detecting such attacks by utilizing a novel approach of representing request traffic as heat maps and training an image classification algorithm to distinguish between normal and malicious traffic behaviour. Our classifier utilizes convolutional neural networks and achieves 97.98% accuracy. We then design a system for the implementation of this model that would allow application owners to monitor their traffic in real time for suspicious behaviour.
无服务器计算是一种不断发展的编程范式,正被世界各地的开发人员所采用。它具有高度可扩展性、自动负载平衡和按使用付费的设计,是一种强大的工具,还能大大降低运营成本。然而,这些优势也使无服务器计算面临一种独特的威胁,即拒绝钱包(DoW)。这是一种故意针对无服务器功能端点的请求流量攻击,目的是人为提高应用程序所有者的使用费用。这些攻击的一个子集是 "水蛭"。它们执行 DoW 的速度可能不会被发现,因为它不是请求的突然猛烈涌入。我们设计了一种检测此类攻击的方法,利用一种新颖的方法将请求流量表示为热图,并训练一种图像分类算法来区分正常和恶意流量行为。我们的分类器利用卷积神经网络,准确率达到 97.98%。然后,我们为这一模型的实施设计了一个系统,允许应用程序所有者实时监控其流量中的可疑行为。
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引用次数: 0
Resampling approaches for the quantitative analysis of spatially distributed cells 对空间分布细胞进行定量分析的重采样方法
Pub Date : 2024-03-15 DOI: 10.1162/dint_a_00249
G. Bertolazzi, Michele Tumminello, G. Morello, Beatrice Belmonte, Claudio Tripodo
Image segmentation is a crucial step in various image analysis pipelines and constitutes one of the cutting-edge areas of digital pathology. The advent of quantitative analysis has enabled the evaluation of millions of individual cells in tissues, allowing for the combined assessment of morphological features, biomarker expression, and spatial context. The recorded cells can be described as a point pattern process. However, the classical statistical approaches to point pattern processes prove unreliable in this context due to the presence of multiple irregularly-shaped interstitial cell-devoid spaces in the domain, which correspond to anatomical features (e.g. vessels, lipid vacuoles, glandular lumina) or tissue artefacts (e.g. tissue fractures), and whose coordinates are unknown. These interstitial spaces impede the accurate calculation of the domain area, resulting in biased clustering measurements. Moreover, the mistaken inclusion of empty regions of the domain can directly impact the results of hypothesis testing. The literature currently lacks any introduced bias correction method to address interstitial cell-devoid spaces. To address this gap, we propose novel resampling methods for testing spatial randomness and evaluating relationships among different cell populations. Our methods obviate the need for domain area estimation and provide non-biased clustering measurements. We created the SpaceR software (https://github.com/GBertolazzi/SpaceR) to enhance the accessibility of our methodologies.
图像分割是各种图像分析管道的关键步骤,也是数字病理学的前沿领域之一。定量分析的出现使得对组织中数以百万计的单个细胞进行评估成为可能,从而可以对形态特征、生物标记表达和空间背景进行综合评估。记录的细胞可以描述为一个点模式过程。然而,在这种情况下,点模式过程的经典统计方法证明是不可靠的,原因是域中存在多个不规则形状的细胞间隙,这些间隙与解剖特征(如血管、脂漏、腺管)或组织伪影(如组织裂缝)相对应,其坐标未知。这些间隙空间妨碍了畴面积的精确计算,导致聚类测量结果出现偏差。此外,误将空白区域纳入畴会直接影响假设检验的结果。目前,文献中缺乏针对间质细胞空洞的偏差校正方法。为了弥补这一不足,我们提出了新颖的重采样方法,用于测试空间随机性和评估不同细胞群之间的关系。我们的方法无需对域面积进行估计,并提供无偏见的聚类测量。我们创建了 SpaceR 软件 (https://github.com/GBertolazzi/SpaceR),以提高我们方法的易用性。
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引用次数: 0
Applying a Context-based Method to Build a Knowledge Graph for the Blue Amazon 应用基于上下文的方法为蓝色亚马逊构建知识图谱
Pub Date : 2024-03-11 DOI: 10.1162/dint_a_00223
P. D. M. Ligabue, A. Brandão, S. M. Peres, F. G. Cozman, Paulo Pirozelli
Knowledge graphs are employed in several tasks, such as question answering and recommendation systems, due to their ability to represent relationships between concepts. Automatically constructing such a graphs, however, remains an unresolved challenge within knowledge representation. To tackle this challenge, we propose CtxKG, a method specifically aimed at extracting knowledge graphs in a context of limited resources in which the only input is a set of unstructured text documents. CtxKG is based on OpenIE (a relationship triple extraction method) and BERT (a language model) and contains four stages: the extraction of relationship triples directly from text; the identification of synonyms across triples; the merging of similar entities; and the building of bridges between knowledge graphs of different documents. Our method distinguishes itself from those in the current literature (i) through its use of the parse tree to avoid the overlapping entities produced by base implementations of OpenIE; and (ii) through its bridges, which create a connected network of graphs, overcoming a limitation similar methods have of one isolated graph per document. We compare our method to two others by generating graphs for movie articles from Wikipedia and contrasting them with benchmark graphs built from the OMDb movie database. Our results suggest that our method is able to improve multiple aspects of knowledge graph construction. They also highlight the critical role that triple identification and named-entity recognition have in improving the quality of automatically generated graphs, suggesting future paths for investigation. Finally, we apply CtxKG to build BlabKG, a knowledge graph for the Blue Amazon, and discuss possible improvements.
由于知识图谱能够表示概念之间的关系,因此被用于问题解答和推荐系统等多项任务中。然而,自动构建这样的图仍然是知识表征领域尚未解决的难题。为了应对这一挑战,我们提出了 CtxKG,这是一种专门用于在资源有限的情况下提取知识图谱的方法,其唯一的输入是一组非结构化文本文档。CtxKG 基于 OpenIE(一种关系三元提取方法)和 BERT(一种语言模型),包含四个阶段:直接从文本中提取关系三元;识别三元间的同义词;合并相似实体;以及在不同文档的知识图谱之间建立桥梁。我们的方法有别于现有文献中的方法:(i) 通过使用解析树来避免 OpenIE 基本实现所产生的重叠实体;(ii) 通过桥接来创建图的连接网络,克服了类似方法中每个文档只有一个孤立图的局限性。我们将维基百科中的电影文章生成图,并将其与 OMDb 电影数据库中的基准图进行对比,以此将我们的方法与其他两种方法进行比较。结果表明,我们的方法能够改进知识图谱构建的多个方面。这些结果还强调了三重识别和命名实体识别在提高自动生成图质量方面的关键作用,并提出了未来的研究方向。最后,我们应用 CtxKG 构建了蓝色亚马逊的知识图谱 BlabKG,并讨论了可能的改进。
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引用次数: 0
The stance and factors of international organizations towards countries from a Chinese perspective 从中国视角看国际组织对各国的立场和因素
Pub Date : 2024-03-11 DOI: 10.1162/dint_a_00248
Zhang Qin, Xue Haili, Yaotian Wang, Wang Yao, Zhang Ziqin, Qinghua Qin, Haoguang Liang
The degree and scope of constraints imposed by International Organizations (IOs) on States are increasing, and identifying the factors affecting the IOs' stances on States is helpful to enhance the state's discourse power and influence in the international community. First, by coding the records of Regular Press Conferences of the Speaking Office of the Chinese Ministry of Foreign Affairs during the period of 2018–2022, we obtained a dataset of IOs' stances on China-related events. Second, we constructed political relation, economic relation, and humanistic relation indicators to complement the influence factors, adopted the Bayesian logit model, and applied the Monte Carlo Markov chain algorithm and Gibbs sampling to analyze the probability of IOs' positive stances towards China. The result shows that IOs' category, length of establishment, functional position, and relationship with China are all related to their tendency of making a statement about China. In terms of the heterogeneity of event types, forum-type IOs are significantly inclined to give positive assessment compared to service-type IOs on events focusing on China's own development. Further analysis reveals that the model for analyzing and predicting the attitudes of IOs is more effective when the international situation is in a stable period.
国际组织(IOs)对国家的制约程度和范围不断加大,明确国际组织对国家立场的影响因素,有助于提升国家在国际社会的话语权和影响力。首先,通过对2018-2022年间中国外交部发言人办公室例行记者会记录的编码,我们获得了国际组织对涉华事件的立场数据集。其次,我们构建了政治关系指标、经济关系指标和人文关系指标来补充影响因素,采用贝叶斯Logit模型,运用蒙特卡罗马尔科夫链算法和吉布斯采样来分析IO对华积极表态的概率。结果表明,国际组织的类别、成立时间、功能定位以及与中国的关系都与其对华表态倾向相关。从事件类型的异质性来看,与服务型国际组织相比,论坛型国际组织在关注中国自身发展的事件上更倾向于给予积极评价。进一步的分析表明,当国际形势处于稳定期时,分析和预测国际组织态度的模型更为有效。
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引用次数: 0
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