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Assessing the factors influencing the intention to use information and communication technology implementation and acceptance in China's education sector SSCI AHCI
期刊论文 | 2024 , 11 (1) | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
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Abstract :

Information and communication technology (ICT) has become increasingly important worldwide in education. This study aims to recognize the factors that influence the intention to use information and communication technology (ITUICT) and its acceptance in the education sector in China. A literature review was conducted to ascertain the potential factors such as perceived awareness, information acquisition, trustworthiness, social influence, and regulatory support that could affect the acceptance and ITUICT. For results, a survey was conducted on a sample of 381 university employees in China using a convenience sampling approach. The collected data were analyzed using partial least squares-structural equation modeling (PLS-SEM). The results show that individual factors such as perceived awareness, information acquisition, trustworthiness, social influence, and regulatory support significantly impact the ITUICT. Additionally, trustworthiness positively moderates the relationship among perceived awareness, information acquisition, social influence, regulatory support, and ITUICT. Policymakers and educators can use the findings of this study to enhance the adoption of ICT in China's education sector. The results of this study suggest that it is important to provide educational sector employees with training and support to increase their use of ICT technology. Furthermore, this paper offers theoretical progression to create a supportive organizational culture and provide the educational sector with the necessary technological resources to facilitate the use of ICT.

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GB/T 7714 Shahzad, Muhammad Farrukh , Xu, Shuo , Baheer, Rimsha . Assessing the factors influencing the intention to use information and communication technology implementation and acceptance in China's education sector [J]. | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS , 2024 , 11 (1) .
MLA Shahzad, Muhammad Farrukh 等. "Assessing the factors influencing the intention to use information and communication technology implementation and acceptance in China's education sector" . | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS 11 . 1 (2024) .
APA Shahzad, Muhammad Farrukh , Xu, Shuo , Baheer, Rimsha . Assessing the factors influencing the intention to use information and communication technology implementation and acceptance in China's education sector . | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS , 2024 , 11 (1) .
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Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students (vol 13, 22442, 2023) SCIE
期刊论文 | 2024 , 14 (1) | SCIENTIFIC REPORTS
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GB/T 7714 Shahzad, Muhammad Farrukh , Xu, Shuo , Khan, Kanwal Iqbal et al. Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students (vol 13, 22442, 2023) [J]. | SCIENTIFIC REPORTS , 2024 , 14 (1) .
MLA Shahzad, Muhammad Farrukh et al. "Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students (vol 13, 22442, 2023)" . | SCIENTIFIC REPORTS 14 . 1 (2024) .
APA Shahzad, Muhammad Farrukh , Xu, Shuo , Khan, Kanwal Iqbal , Hasnain, Muhammad Faisal . Effect of social influence, environmental awareness, and safety affordance on actual use of 5G technologies among Chinese students (vol 13, 22442, 2023) . | SCIENTIFIC REPORTS , 2024 , 14 (1) .
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Antecedents of international entrepreneurship and emerging technologies help to achieve sustainable development goals: Moderating role of global mindset SSCI
期刊论文 | 2024 , 209 | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
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2015 witnessed the introduction of the sustainable development goals (SDGs) by the United Nations (UN). Few studies have been conducted on emerging technologies for international entrepreneurship, how these technologies are developed across sectors, or how they can enhance the global sustainability of businesses to support the 2030 sustainable agenda. Therefore, his study investigates the impact of antecedents of international entrepreneurship on the SDGs through the mediating role of emerging technologies, with a precise focus on the moderating role of a global mindset. Data was collected through a cross-sectional approach from 484 entrepreneurs in China. Collected data were analyzed using PLS-SEM techniques on the statistical software SmartPLS 4. The study findings reveal that key antecedents of international entrepreneurship significantly influence the SDGs. Moreover, emerging technologies act as a significant mediator between international entrepreneurship antecedents and SDGs. Additionally, a global mindset among entrepreneurs is found to be a significant moderator between emerging technologies and SDGs. This study adds to the existing literature by presenting empirical evidence on the interconnections between international entrepreneurship, emerging technologies, and sustainable organizational development. The implications of this study offer valuable understandings for entrepreneurs aiming to enhance their organizations' sustainable development through innovative and entrepreneurial initiatives.

Keyword :

Sustainable development goals Sustainable development goals Global mindset Global mindset Entrepreneurial orientation Entrepreneurial orientation Emerging technologies Emerging technologies PLS-SEM PLS-SEM International entrepreneurship International entrepreneurship

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GB/T 7714 Shahzad, Muhammad Farrukh , Xu, Shuo . Antecedents of international entrepreneurship and emerging technologies help to achieve sustainable development goals: Moderating role of global mindset [J]. | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2024 , 209 .
MLA Shahzad, Muhammad Farrukh et al. "Antecedents of international entrepreneurship and emerging technologies help to achieve sustainable development goals: Moderating role of global mindset" . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 209 (2024) .
APA Shahzad, Muhammad Farrukh , Xu, Shuo . Antecedents of international entrepreneurship and emerging technologies help to achieve sustainable development goals: Moderating role of global mindset . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2024 , 209 .
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Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning SCIE
期刊论文 | 2024 , 10 (8) | HELIYON
WoS CC Cited Count: 25
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The advancement of artificial intelligence (AI) and the ubiquity of social media have become transformative agents in contemporary educational ecosystems. The spotlight of this inquiry focuses on the nexus between AI and social media usage in relation to academic performance and mental well-being, and the role of smart learning in facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) on a sample of 401 Chinese university students. The study results reveal that both AI and social media have a positive impact on academic performance and mental well-being among university students. Furthermore, smart learning serves as a positive mediating variable, amplifying the beneficial effects of AI and social media on both academic performance and mental well-being. These revelations contribute to the discourse on technology-enhanced education, showing that embracing AI and social media can have a positive impact on student performance and well-being.

Keyword :

Artificial intelligence Artificial intelligence Social media Social media Smart learning Smart learning Academic performance Academic performance Mental well-being Mental well-being

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GB/T 7714 Shahzad, Muhammad Farrukh , Xu, Shuo , Lim, Weng Marc et al. Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning [J]. | HELIYON , 2024 , 10 (8) .
MLA Shahzad, Muhammad Farrukh et al. "Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning" . | HELIYON 10 . 8 (2024) .
APA Shahzad, Muhammad Farrukh , Xu, Shuo , Lim, Weng Marc , Yang, Xingbing , Khan, Qasim Raza . Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning . | HELIYON , 2024 , 10 (8) .
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Understanding super-partnerships in scientific collaboration: Evidence from the field of economics SCIE SSCI
期刊论文 | 2024 , 75 (6) , 717-733 | JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY
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Super-partnerships exist between scholars connected within densely-knit collaboration networks. Understanding how such relationships affect scholars' careers is of great importance. In this paper, focusing on the longitudinal aspects of scientific collaboration, we analyze collaboration profiles from the egocentric perspective and use analytic extreme value thresholds to identify super-partners. A total of 5722 pairs of super-partners are found in the field of economics. The several interesting findings about super-partners are summarized as follows. (1) The collaboration pattern of super-partners can be divided into three types: the dual-core, bridge, and triangle types. (2) Gender disparities are reflected in the collaboration among super-partners, and the stability of super-partnerships involving different combinations of genders displays different characteristics. The random-effect model is constructed to explore the effect of a super-partnership on both parties from the aspects of productivity and influence, which also shows gender disparities. (3) A super-partnership contributes to above-average productivity and citation impacts of the publication for three collaboration patterns, and the research improvement of the triangle type is the greatest among the three types. Overall, this paper explores the characteristics of super-partners and the added value of a long-term commitment, which provides quantitative insights into the effect on scientific collaboration associated with close collaboration.

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GB/T 7714 Liu, Junwan , Guo, Xiaofei , Xu, Shuo et al. Understanding super-partnerships in scientific collaboration: Evidence from the field of economics [J]. | JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY , 2024 , 75 (6) : 717-733 .
MLA Liu, Junwan et al. "Understanding super-partnerships in scientific collaboration: Evidence from the field of economics" . | JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY 75 . 6 (2024) : 717-733 .
APA Liu, Junwan , Guo, Xiaofei , Xu, Shuo , Bu, Yi , Sugimoto, Cassidy R. , Lariviere, Vincent et al. Understanding super-partnerships in scientific collaboration: Evidence from the field of economics . | JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY , 2024 , 75 (6) , 717-733 .
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Assessing the impact of AI-chatbot service quality on user e-brand loyalty through chatbot user trust, experience and electronic word of mouth SSCI
期刊论文 | 2024 , 79 | JOURNAL OF RETAILING AND CONSUMER SERVICES
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Based on the stimulus organism theory (S-O-R), the current study examines how the chatbot service quality influences e-brand loyalty among luxury fashion brand users and their adoption of it. In the current study, stimuli represent the chatbot service quality and chatbot awareness, prompting positive and negative emotional responses among Chinese users. However, these responses are influenced by the user's experience with chatbot usage, and trust is considered the organism in the S-O-R framework. In response to the user's ultimate trust, experience, electronic word of mouth (eWOM) and e-brand loyalty are enhanced. Similarly, our study framework is supported by the S-O-R theory. Data was gathered by convenience sampling and a cross-sectional research approach from 301 Chinese consumers of luxury fashion brands. The proposed relationships were tested using PLS-SEM through PLS-Smart software. The findings showed that AI-chatbot service quality significantly influences customer e-brand loyalty. Furthermore, chatbot user trust, experience, and electronic word of mouth significantly mediate the relationship between AI-chatbot service quality and customer e-brand loyalty. In a nutshell, applying S-O-R theory, our proposed model results provide valuable insights into the dynamics of AIchatbot-driven interactions among Chinese luxury fashion brand consumers. Further, it explains the pivotal role of AI-chatbot service quality in fostering customer trust and e-brand loyalty. Moreover, the current study contributes to theoretical and practical knowledge.

Keyword :

User e -brand loyalty User e -brand loyalty Electronic word of mouth Electronic word of mouth Chatbot user trust Chatbot user trust Chatbot user experience Chatbot user experience AI-chatbot service quality AI-chatbot service quality

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GB/T 7714 Shahzad, Muhammad Farrukh , Xu, Shuo , An, Xin et al. Assessing the impact of AI-chatbot service quality on user e-brand loyalty through chatbot user trust, experience and electronic word of mouth [J]. | JOURNAL OF RETAILING AND CONSUMER SERVICES , 2024 , 79 .
MLA Shahzad, Muhammad Farrukh et al. "Assessing the impact of AI-chatbot service quality on user e-brand loyalty through chatbot user trust, experience and electronic word of mouth" . | JOURNAL OF RETAILING AND CONSUMER SERVICES 79 (2024) .
APA Shahzad, Muhammad Farrukh , Xu, Shuo , An, Xin , Javed, Iqra . Assessing the impact of AI-chatbot service quality on user e-brand loyalty through chatbot user trust, experience and electronic word of mouth . | JOURNAL OF RETAILING AND CONSUMER SERVICES , 2024 , 79 .
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Generative Artificial Intelligence (ChatGPT-4) and Social Media Impact on Academic Performance and Psychological Well-Being in China's Higher Education SSCI
期刊论文 | 2024 | EUROPEAN JOURNAL OF EDUCATION
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The rapid advancement of generative artificial intelligence (GAI) and the extensive use of social media have transformed how students engage with educational materials and interact with their peers. Collaborative learning (CL) platforms, empowered by artificial intelligence (AI) algorithms, have gained popularity due to their potential to enhance learning outcomes and provide personalised educational experiences. This research examines the effects of generative AI (ChatGPT-4) and social media use on young students' academic performance and psychological well-being, focusing on CL. The study conceptual framework was examined based on a sample of 441 Chinese university students. The statistical technique PLS-SEM is put into practice to measure the structural framework of academic performance and psychological well-being. The findings of this study show that generative AI (ChatGPT-4) and social media positively influence young students' academic performance and psychological well-being. Additionally, the results of this research study show that CL positively mediates between social media, academic performance and psychological well-being. Conversely, it negatively mediates the association between generative AI (ChatGPT-4), academic performance (AP), and psychological well-being. The findings can facilitate a better understanding of the implications of technologies in the educational context and subsequently aid in formulating evidence-based strategies to optimise their impact on students's academic success and well-being.

Keyword :

ChatGPT-4 ChatGPT-4 higher education higher education psychological well-being psychological well-being collaborative learning collaborative learning social media social media academic performance academic performance

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GB/T 7714 Shahzad, Muhammad Farrukh , Xu, Shuo , Liu, Huizheng et al. Generative Artificial Intelligence (ChatGPT-4) and Social Media Impact on Academic Performance and Psychological Well-Being in China's Higher Education [J]. | EUROPEAN JOURNAL OF EDUCATION , 2024 .
MLA Shahzad, Muhammad Farrukh et al. "Generative Artificial Intelligence (ChatGPT-4) and Social Media Impact on Academic Performance and Psychological Well-Being in China's Higher Education" . | EUROPEAN JOURNAL OF EDUCATION (2024) .
APA Shahzad, Muhammad Farrukh , Xu, Shuo , Liu, Huizheng , Zahid, Hira . Generative Artificial Intelligence (ChatGPT-4) and Social Media Impact on Academic Performance and Psychological Well-Being in China's Higher Education . | EUROPEAN JOURNAL OF EDUCATION , 2024 .
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Cryptocurrency awareness, acceptance, and adoption: the role of trust as a cornerstone SSCI AHCI
期刊论文 | 2024 , 11 (1) | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS
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Cryptocurrencies-i.e., digital or virtual currencies secured by cryptography based on blockchain technology, such as Bitcoin and Ethereum-have brought transformative changes to the global economic landscape. These innovative transaction methods have rapidly made their mark in the financial sector, reshaping the dynamics of the global economy. However, there remains a notable hesitation in its widespread acceptance and adoption, largely due to misconceptions and lack of proper guidance about its use. Such gaps in understanding create an opportunity to address these concerns. Using the technology acceptance model (TAM), this study develops a parsimonious model to explain the awareness, acceptance, and adoption of cryptocurrency. The model was assessed using partial least squares structural equation modeling (PLS-SEM) with a sample of 332 participants aged 18 to 40 years. The findings suggest that cryptocurrency awareness plays a direct, positive, and significant role in shaping cryptocurrency adoption and that this positive relationship is mediated by factors that exemplify cryptocurrency acceptance, namely the ease of use and usefulness of cryptocurrency. The results also reveal that trust is a significant factor that strengthens these direct and mediating relationships. These insights emphasize the necessity of fostering an informed understanding of cryptocurrencies to accelerate their broader adoption in the financial ecosystem. By addressing the misconceptions and reinforcing factors like ease of use, usefulness, and trust, policymakers and financial institutions can better position themselves to integrate and promote cryptocurrency in mainstream financial systems.

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GB/T 7714 Shahzad, Muhammad Farrukh , Xu, Shuo , Lim, Weng Marc et al. Cryptocurrency awareness, acceptance, and adoption: the role of trust as a cornerstone [J]. | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS , 2024 , 11 (1) .
MLA Shahzad, Muhammad Farrukh et al. "Cryptocurrency awareness, acceptance, and adoption: the role of trust as a cornerstone" . | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS 11 . 1 (2024) .
APA Shahzad, Muhammad Farrukh , Xu, Shuo , Lim, Weng Marc , Hasnain, Muhammad Faisal , Nusrat, Shahneela . Cryptocurrency awareness, acceptance, and adoption: the role of trust as a cornerstone . | HUMANITIES & SOCIAL SCIENCES COMMUNICATIONS , 2024 , 11 (1) .
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Effect of stakeholder pressure on environmental performance: Do virtual CSR, green credit, environmental and social reputation matter? SCIE
期刊论文 | 2024 , 368 | JOURNAL OF ENVIRONMENTAL MANAGEMENT
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In today's globalized and interconnected world, businesses operate within an interconnected network with various stakeholders. Among these stakeholders, the pressure from consumers, investors, regulators, and communities for corporations to adopt environmentally responsible practices has intensified significantly. Therefore, this study investigates the relationship between stakeholder pressure and environmental performance (EP) in Pakistan's manufacturing sector while examining the potential moderating roles of environmental reputation, social reputation, virtual CSR, and green credit. Data was gathered by convenience sampling and a crosssectional research approach. A structural questionnaire was given to 376 employees of manufacturing firms that are listed on the Pakistan Stock Exchange (PSE). The research hypotheses were tested using PLS-SEM techniques, which examined the interactions between these variables. The results reveal that stakeholder pressure significantly influences the environmental performance of manufacturing firms. Environmental reputation and virtual CSR negatively moderate the relationship between stakeholder pressure and EP. Moreover, social reputation and green credit positively moderate the relationship between stakeholder pressure and EP. These results contribute to the existing literature by shedding light on how stakeholder pressure influences firms' environmental behavior. Practical implications include integrating virtual CSR strategies, securing green financing options, and building strong environmental and social reputations to effectively respond to stakeholder demands and improve environmental performance.

Keyword :

Stakeholder pressure Stakeholder pressure Environmental reputation Environmental reputation Green credit Green credit Social reputation Social reputation Virtual CSR Virtual CSR Environmental performance Environmental performance

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GB/T 7714 Shahzad, Muhammad Farrukh , Xu, Shuo , An, Xin et al. Effect of stakeholder pressure on environmental performance: Do virtual CSR, green credit, environmental and social reputation matter? [J]. | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2024 , 368 .
MLA Shahzad, Muhammad Farrukh et al. "Effect of stakeholder pressure on environmental performance: Do virtual CSR, green credit, environmental and social reputation matter?" . | JOURNAL OF ENVIRONMENTAL MANAGEMENT 368 (2024) .
APA Shahzad, Muhammad Farrukh , Xu, Shuo , An, Xin , Asif, Muhammad , Jafri, Muhammad Afaq Haider . Effect of stakeholder pressure on environmental performance: Do virtual CSR, green credit, environmental and social reputation matter? . | JOURNAL OF ENVIRONMENTAL MANAGEMENT , 2024 , 368 .
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Which type of dynamic indicators should be preferred to predict patent commercial potential? SSCI
期刊论文 | 2023 , 193 | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
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The current patent value evaluations increasingly focus on serving realistic predictive scenarios, emphasizing the commercial potential of patents at the early stage from the ex-ante perspective. This requirement poses a serious challenge: those classical dynamic indicators that have been proved to be effective in the literature may not be valid for commercial patent potential prediction from the ex-ante perspective. Thereupon, this study groups the dynamic indicators into cross-sectional indicators and longitudinal indicators. Then, a patent commercial po-tential prediction framework is proposed from the ex-ante perspective, in which the impact of the chronological order on predictive models is investigated comprehensively. More specifically, this study collects the USPTO cancer-related dataset from 2003 to 2013 as the training set, and combines three dynamic indicators (cross-sectional, longitudinal, and mixed) with classical static indicators to test the prediction performance for the following five years (2014-2018). The biased results caused by the ex-post perspective are indeed observed, and the longitudinal indicators are more sensitive to commercial patent potential, especially in the early stage. The effect of the ex-post perspective will gradually weaken over time, and the cross-sectional indicators provide stable prediction performance three years later. These findings will be helpful for subsequent improvements of com-mercial patent potential prediction models.

Keyword :

Ex -ante perspective Ex -ante perspective Dynamic indicator Dynamic indicator Commercial potential Commercial potential Cross-sectional indicator Cross-sectional indicator Longitudinal Indicator Longitudinal Indicator

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GB/T 7714 Yang, Guancan , Lu, Guoxuan , Xu, Shuo et al. Which type of dynamic indicators should be preferred to predict patent commercial potential? [J]. | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2023 , 193 .
MLA Yang, Guancan et al. "Which type of dynamic indicators should be preferred to predict patent commercial potential?" . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE 193 (2023) .
APA Yang, Guancan , Lu, Guoxuan , Xu, Shuo , Chen, Liang , Wen, Yuxin . Which type of dynamic indicators should be preferred to predict patent commercial potential? . | TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE , 2023 , 193 .
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