Journal articles: 'Resources sharing'

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Jakimow, Rachel. "Sharing resources nationally." ANZTLA EJournal, no. 28 (April 10, 2019): 11–17. http://dx.doi.org/10.31046/anztla.v0i28.1004.

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Goodwyn-Craine, Allyson. "Sharing ASHA Resources." ASHA Leader 15, no. 12 (2010): 2. http://dx.doi.org/10.1044/leader.in1.15122010.2.

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Berson, Susan W. "Sharing IT Resources." Oncology Issues 19, no. 6 (2004): 19. http://dx.doi.org/10.1080/10463356.2004.11883217.

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Parekh, Abhay, and Jean Walrand. "Sharing Network Resources." Synthesis Lectures on Communication Networks 7, no. 1 (2014): 1–150. http://dx.doi.org/10.2200/s00572ed1v01y201403cnt015.

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Hogan, Sean, Amy R. Paulus, Heather Hannan, and Kim Wobick. "Resource Sharing Resources during a Pandemic: A Review." Journal of Interlibrary Loan, Document Delivery & Electronic Reserve 29, no. 3-5 (2020): 139–43. http://dx.doi.org/10.1080/1072303x.2021.1934221.

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Tian, Juan. "Information Resources Co-construction and Sharing of Higher Education." Asian Social Science 13, no. 4 (2017): 65. http://dx.doi.org/10.5539/ass.v13n4p65.

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With the rapid development of information technology and education, there occurred several problems in higher education information resource construction and sharing, such as incomplete infrastructure, low overall resources level, insufficient information resources application, low teachers' information literacy and imperfect resource sharing mechanism. Under the current environment, it’s necessary to establish a set of information resources co-construction and sharing education service system to balance resources sharing and improve the sharing mechanism. Also to improve colleges’ management, to promote college teachers' development, to adapt to ubiquitous learning and to realize resource sharing.

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Bredereck, Robert, Andrzej Kaczmarczyk, Junjie Luo, Rolf Niedermeier, and Florian Sachse. "Improving Resource Allocations by Sharing in Pairs." Journal of Artificial Intelligence Research 78 (December 20, 2023): 1069–109. http://dx.doi.org/10.1613/jair.1.15001.

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Given an initial resource allocation, where some agents may envy others or where a different distribution of resources might lead to a higher social welfare, our goal is to improve the allocation without reassigning resources. We consider a sharing concept allowing resources being shared with social network neighbors of the resource owners. More precisely, our model allows agents to form pairs which then may share a limited number of resources. Sharing a resource can come at some costs or loss in utility. To this end, we introduce a formal model that allows a central authority to compute an optimal sharing between neighbors based on an initial allocation. Advocating this point of view, we focus on the most basic scenario where each agent can participate in a bounded number of sharings. We present algorithms for optimizing utilitarian and egalitarian social welfare of allocations and for reducing the number of envious agents. In particular, we examine the computational complexity with respect to several natural parameters. Furthermore, we study cases with restricted social network structures and, among others, devise polynomial-time algorithms in path- and tree-like (hierarchical) social networks.

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Beek, Huibert. "Ecumenical Sharing of Resources." Ecumenical Review 38, no. 4 (1986): 444–46. http://dx.doi.org/10.1111/j.1758-6623.1986.tb01377.x.

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Thorogood, Bernard. "SHARING RESOURCES IN MISSION." International Review of Mission 76, no. 304 (1987): 441–51. http://dx.doi.org/10.1111/j.1758-6631.1987.tb01548.x.

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Uijtdehaage, Sebastian H. J., Janice Contini, Chris S. Candler, and Sharon E. Dennis. "Sharing Digital Teaching Resources." Academic Medicine 78, no. 3 (2003): 286–94. http://dx.doi.org/10.1097/00001888-200303000-00011.

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Zhang, Y. Q., C. S. Choy, and C. F. Chan. "Synthesis of resources sharing." Circuits, Systems, and Signal Processing 20, no. 3-4 (2001): 375–86. http://dx.doi.org/10.1007/bf01201408.

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Biswas, Asit K. "Sharing Water Resources: Conclusions." International Journal of Water Resources Development 11, no. 4 (1995): 493–94. http://dx.doi.org/10.1080/07900629550042155.

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Thaker, Khushboo, Yu Chi, Susan Birkhoff, et al. "Exploring Resource-Sharing Behaviors for Finding Relevant Health Resources: Analysis of an Online Ovarian Cancer Community." JMIR Cancer 8, no. 2 (2022): e33110. http://dx.doi.org/10.2196/33110.

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Background Online health communities (OHCs) provide patients and survivors of ovarian cancer (OvCa) and their caregivers with help beyond traditional support channels, such as health care providers and clinicians. OvCa OHCs promote connections and exchanges of information among users with similar experiences. Users often exchange information, which leads to the sharing of resources in the form of web links. Although OHCs are important platforms for health management, concerns exist regarding the quality and relevance of shared resources. Previous studies have examined different aspects of resource-sharing behaviors, such as the purpose of sharing, the type of shared resources, and peer user reactions to shared resources in OHCs to evaluate resource exchange scenarios. However, there is a paucity of research examining whether resource-sharing behaviors can ultimately determine the relevance of shared resources. Objective This study aimed to examine the association between OHC resource-sharing behaviors and the relevance of shared resources. We analyzed three aspects of resource-sharing behaviors: types of shared resources, purposes of sharing resources, and OHC users’ reactions to shared resources. Methods Using a retrospective design, data were extracted from the National Ovarian Cancer Coalition discussion forum. The relevance of a resource was classified into three levels: relevant, partially relevant, and not relevant. Resource-sharing behaviors were identified through manual content analysis. A significance test was performed to determine the association between resource relevance and resource-sharing behaviors. Results Approximately 48.3% (85/176) of the shared resources were identified as relevant, 29.5% (52/176) as partially relevant, and 22.2% (39/176) as irrelevant. The study established a significant association between the types of shared resources (χ218=33.2; P<.001) and resource relevance (through chi-square tests of independence). Among the types of shared resources, health consumer materials such as health news (P<.001) and health organizations (P=.02) exhibited significantly more relevant resources. Patient educational materials (P<.001) and patient-generated resources (P=.01) were more significantly associated with partially relevant and irrelevant resources, respectively. Expert health materials, including academic literature, were only shared a few times but had significantly (P<.001) more relevant resources. A significant association (χ210=22.9; P<.001) was also established between the purpose of resource sharing and overall resource relevance. Resources shared with the purpose of providing additional readings (P=.01) and pointing to resources (P=.03) had significantly more relevant resources, whereas subjects for discussion and staying connected did not include any relevant shared resources. Conclusions The associations found between resource-sharing behaviors and the relevance of these resources can help in collecting relevant resources, along with the corresponding information needs from OvCa OHCs, on a large scale through automation. The results from this study can be leveraged to prioritize the resources required by survivors of OvCa and their caregivers, as well as to automate the search for relevant shared resources in OvCa OHCs.

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He, Lanyun. "Ideological and Political Teaching Resource Sharing Method Based on Edge Computing." Wireless Communications and Mobile Computing 2022 (May 2, 2022): 1–10. http://dx.doi.org/10.1155/2022/3907721.

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In the process of ideological and political teaching resource sharing, the sharing time is long due to the interference of redundant data. Therefore, an ideological and political teaching resource sharing method based on edge computing is proposed. Based on the sharing model of ideological and political teaching resources of edge computing, the information entropy suppression method is used to eliminate the redundant data in the ideological and political teaching resources, calculate the sinking of the edge node of the resource after removing the redundancy, assign the task to the edge node, and finally build a location index for the ideological and political teaching resources to realize the sharing of ideological and political teaching resources. The results show that when using the research method to share ideological and political teaching resources, the completion time, average waiting delay, and resource download time of resource sharing are shorter.

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Luo, Yang, and Kim Kyung Yee. "Research on Online Education Curriculum Resources Sharing Based on 5G and Internet of Things." Journal of Sensors 2022 (January 5, 2022): 1–10. http://dx.doi.org/10.1155/2022/9675342.

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Information technology has brought great changes to China’s education. 5G technology provides a better guarantee for the sharing of curriculum resources, facing the extreme shortage of educational resources in China. The contradiction between limited educational resources and unlimited development needs of higher education has become increasingly prominent. How to effectively realize resource sharing among universities has become a problem that must be considered in the talent development of universities. In order to solve this problem, universities must improve the utilization rate of resources, maximize resource sharing, and establish a more perfect resource sharing mechanism under the background of 5G and Internet of Things. This paper analyzes the current situation of research at home and abroad, the current situation of resources development, and the application of online courses under the background of Internet of Things, thus constructing an overall framework of curriculum resource sharing mode. According to effective experiments, the offline curriculum education resource sharing and traditional resource sharing schemes in the background of 5G and Internet are compared, and the necessity and importance of applying 5G Internet of Things are verified.

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Mao, Lijun. "Resource Sharing Method of Basic Computer Education Based on Mixed Gaussian Model." Mobile Information Systems 2022 (October 6, 2022): 1–9. http://dx.doi.org/10.1155/2022/6325329.

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This study developed a computer-based basic educational resource sharing method based on a mixed Gaussian model in order to improve the effect of educational resource sharing. Initially, the challenges of educational resource sharing are examined. Then, the basic sharing platform, consisting of the index layer, the computer basic education resource library, and the data layer, is designed. After collecting information about basic computer education resources to be shared, the education resources are clustered using the Gaussian mixture model and then configured based on the results of the clustering. Depending on the number of configuration factors, computer basic education resources can be shared in accordance with their design. The experimental results indicate that this method has high resource sharing efficiency, the ability to update resources in real time, and a good teacher and student evaluation system. Compared to traditional sharing methods, the proposed method has the benefits of a shorter sharing time and greater resource clustering precision.

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Gastin, Paul, and Dan Teodosiu. "Resource traces: a domain for processes sharing exclusive resources." Theoretical Computer Science 278, no. 1-2 (2002): 195–221. http://dx.doi.org/10.1016/s0304-3975(00)00336-4.

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Kinnamon, Michael. "The Sharing of Faith, the Sharing of Resources." Ecumenical Review 38, no. 4 (1986): 370–77. http://dx.doi.org/10.1111/j.1758-6623.1986.tb01368.x.

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Bredereck, Robert, Andrzej Kaczmarczyk, Junjie Luo, Rolf Niedermeier, and Florian Sachse. "On Improving Resource Allocations by Sharing." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 5 (2022): 4875–83. http://dx.doi.org/10.1609/aaai.v36i5.20416.

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Given an initial resource allocation, where some agents may envy others or where a different distribution of resources might lead to higher social welfare, our goal is to improve the allocation without reassigning resources. We consider a sharing concept allowing resources being shared with social network neighbors of the resource owners. To this end, we introduce a formal model that allows a central authority to compute an optimal sharing between neighbors based on an initial allocation. Advocating this point of view, we focus on the most basic scenario where a resource may be shared by two neighbors in a social network and each agent can participate in a bounded number of sharings. We present algorithms for optimizing utilitarian and egalitarian social welfare of allocations and for reducing the number of envious agents. In particular, we examine the computational complexity with respect to several natural parameters. Furthermore, we study cases with restricted social network structures and, among others, devise polynomial-time algorithms in path- and tree-like (hierarchical) social networks.

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Li, Shengzhu, Litao Chen, and Ting Du. "Research on digital sharing mechanism of agricultural science and technology resources considering collaborative innovation capability." SHS Web of Conferences 169 (2023): 01043. http://dx.doi.org/10.1051/shsconf/202316901043.

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The digital sharing of agricultural scientific and technological resources is the key to promoting agricultural scientific and technological innovation. Explore the strategic mechanism for the digital sharing of agricultural scientific and technological resources, reveal the law of their behavioral evolution, and provide theoretical guidance for the practice of digital sharing of agricultural science and technology resources. Introducing the perspective theory of perceived utility to replace expected utility, constructing a stochastic evolutionary game model for the sharing parties and demand parties of agricultural science and technology resources, analyzing the dynamic evolution rules of both sides of resource sharing, and analyzing the key factors affecting the stability of agricultural science and technology resource sharing through numerical simulation.

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Anderson, Evan M. "Book Review: Resources Anytime, Anywhere: How Interlibrary Loan becomes Resource Sharing." Library Resources & Technical Services 62, no. 2 (2018): 91. http://dx.doi.org/10.5860/lrts.62n2.91.

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At the conclusion of Resources Anytime, Anywhere: How Interlibrary Loan becomes Resource Sharing, the author asks readers to “imagine the future of resource sharing, which is less the sharing of disparate resources between libraries but more of a globally floating library collection” (130). This might seem mere fantasy, but the rapid growth of interlibrary loan (ILL) and progression of technologies used in such services makes the fantasy attainable provided individual libraries, their governing and funding institutions, and the wider public can both adjust to such a situation and find it a desirable vision.

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Chu, Ting. "Integration and Application of Online Sports Resources Based on Multidimensional Intelligent Technology and Resource Optimization Architecture." Journal of Advanced Transportation 2022 (June 3, 2022): 1–9. http://dx.doi.org/10.1155/2022/2333497.

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Share the relevant factors of the overall structure of the sports network in colleges and universities, and divide the overall structure of its operation system. In view of the unequal division of educational resources, this paper proposes the construction content of the college sports network education resource sharing mechanism: the construction of college sports network education resources, the college sports network education resource sharing platform, and the management and coordination of college network education resources sharing. In the guidance of cybernetics based on the basic characteristics of network education resources, the sharing of sports network education resources is realized, so as to effectively build a scientific evaluation index system.

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Hu, Wei Wei. "Research on Large Equipment Resource Sharing Platform Virtual Network Based on OGSA." Applied Mechanics and Materials 543-547 (March 2014): 3352–55. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.3352.

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To promote large equipment resource sharing, collaborative sharing, utilization and maximize utilization of the instrument, this study uses OGSA grid architecture in all major instruments sharing network on the basis of the existing resources services, application Globus Toolkit establish grid platform, so that large instruments sharing network of compute power resources, storage resources, programs and services such as shared databases.

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Dai, Bing, and Xiaoguang An. "Higher Educational Information Resource Sharing Model Based on Blockchain." International Journal of Emerging Technologies in Learning (iJET) 18, no. 07 (2023): 72–88. http://dx.doi.org/10.3991/ijet.v18i07.39241.

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Through the sharing of high-quality educational resources in colleges and universities, various colleges and universities have carried out active and effective exchanges in teaching resources, avoiding the duplication of larger educational resources, and improving the academic and career development of teachers and students. The construction of a blockchain-based regional higher education information resource sharing model can solve the problems of scattered teaching resources and duplicate construction of teaching resources, difficulties to ensure the security of digital education resources, high operating costs of platforms, and urgent protection of intellectual property rights of resources. Most of the existing solutions rely on third-party certificate issuing centers or use a single key to encrypt the data flow of education information resources, which has hidden dangers of leakage of privacy information such as intellectual property rights, copyrights, confidential information of resources, other key information, and operation records. Therefore, this paper studies the regional higher education information resource sharing model based on blockchain and designs the data protection protocol of higher education information resources and its resource transaction relationship protection scheme. It introduces the blockchain-based regional higher education information resource sharing model mainly from three aspects: blinding the identity of authorized resource recipients, resource initiators publishing resource transactions, and authorized resource recipients publishing resource transactions. Experimental results verify the effectiveness of the proposed model.

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Wang, Zhenhong. "Integration and Sharing of College English Teaching Resources Using Cloud Computing Platform." Mobile Information Systems 2022 (April 14, 2022): 1–8. http://dx.doi.org/10.1155/2022/8202229.

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Intelligent computing has been used in the field of education and teaching for a long time in other countries. China is currently conducting education cloud research, but it has not yet been applied to the sharing of instructional resources in universities. The creation of a university instructional resource sharing network based on intelligent computing will help to alleviate the uneven distribution of educational resources to some extent and achieve the goal of high-quality instructional resource sharing, which is critical for improving China’s tertiary education overall. The information age has arrived, thanks to the advancement of information technology and the growth of communication networks. The impact of instructional resources on English classrooms is growing day by day against the backdrop of digitization. The educational resource sharing service platform can effectively deal with the problems of excessive infrastructure investment and low utilization of educational resources with intelligent computing as the technical support. It is essential for promoting educational resource sharing as well as interregional tertiary education exchanges and collaboration. As a result of the research on intelligent computing and educational resource sharing service platform, this paper discusses specific problems such as platform module design, system inspection, and application form, in order to provide a reference for the establishment of educational resource sharing service platform in universities, based on the overall and functional requirements of the platform, a platform that allows teachers and students to access personalized digital resources on demand for reading, downloading, printing, and sharing.

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Jiang, Wangmeng, and Qiang Ma. "English teaching system design based on ID3 algorithm and node optimization." PeerJ Computer Science 9 (September 7, 2023): e1486. http://dx.doi.org/10.7717/peerj-cs.1486.

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In order to optimize the integration of English multimedia resources and achieve the goal of sharing English teaching resources in education, this article reconstructs the traditional college English curriculum system. It divides professional English into learning modules according to different majors integrating public health teaching resources. How optimize the integration of English multimedia resources and achieving the goal of sharing English teaching resources (ETR) is the main direction of English teaching reform during the current COVID-19 pandemic. An English multimedia teaching resource-sharing platform is designed to extract feature items from multimedia teaching resources using the ID3 information gain method and construct a decision tree for resource push. In resource sharing, a structured peer-to-peer network is used to manage nodes, query location and share multimedia teaching resources. The optimal gateway node is selected by calculating the distance between each gateway node and the fixed node. Finally, a collaborative filtering (CF) algorithm recommends Multimedia ETR to different users. The simulation results show that the platform can improve the sharing speed and utilization rate of teaching resources, with maximum throughput reaching 12 Mb/s and achieve accurate recommendations of ETR.

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Chen, Li, and Linlin Wang. "Analysis on the Sharing Method of English Mobile Education Resources Based on Wireless Broadband Connection." Wireless Communications and Mobile Computing 2022 (May 9, 2022): 1–8. http://dx.doi.org/10.1155/2022/5166100.

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The sharing of English educational resources has always been a research hotspot in the English industry. The traditional English educational resource sharing system has low resource sharing efficiency and no real-time contribution capability. Therefore, this paper proposes a method to analyze the characteristics of online educational resources. By comparing the main features of the IEEE802 wireless standard series, the IEEE802.16 protocol stack model is constructed by using the IEEE802.16 protocol, the business layer design and CS layer of the English education resource system are realized through the MAC layer and the CPS layer, and the mobile English education resource sharing system is analyzed. Live voting service: in order to improve the sharing speed of mobile English education resources, an NRTPS uplink bandwidth allocation mechanism is proposed, and the design of a mobile English education resource sharing system based on wireless broadband connection is realized. The experimental results show that the resource sharing efficiency of the system is high, and it plays an important role in the development of English education.

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Kim, Kap Hwan, Xuefeng Jin, and Chang Hoon Woo. "A Survey on Sharing Economy and Logistics Resources Sharing." Journal of the Korean Society of Supply Chain Management 17, no. 2 (2017): 89–115. http://dx.doi.org/10.25052/kscm.2017.10.17.2.89.

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Jones, Claudia. "Sharing resources: Partnerships that work." OLA Quarterly 1, no. 3 (1995): 4. http://dx.doi.org/10.7710/1093-7374.1038.

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Li, Xiaoqing, Heli Wang, Chao Liu, and Zhitao Song. "Study on the Sharing Mechanism of Economics and Management Experimental Teaching Resources." Asian Social Science 18, no. 12 (2022): 18. http://dx.doi.org/10.5539/ass.v18n12p18.

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Experimental teaching is the key link for colleges and universities to cultivate innovative and entrepreneurial talents, and experimental teaching resources are the basis for ensuring the quality of experimental teaching. The uneven distribution of experimental teaching resources is a key problem faced by universities, and the resource-sharing mechanism is an effective means to solve this problem. Through the analysis of the current situation of the sharing of experimental teaching resources of economics and management majors in colleges and universities, the reasons for the lack of resource sharing are summarized. Combined with the main problems in the sharing of experimental resources, this conceptual paper proposes to strengthen the leading role of the government in the construction of the platform for sharing experimental resources, improve the promotion and incentive mechanism of experimental teachers, improve the management mechanism of experimental teaching, enhance the comprehensive service ability of the teachers of the experimental platform for sharing software and hardware resources, and expand the scope of mutual recognition of credits among universities, strengthen the exchange of laboratory talents and achievements to strengthen the construction of the sharing system of economic and management experimental teaching resources, so as to realize the complementary advantages of experimental teaching resources among colleges and universities, improve the utilization efficiency of experimental teaching resources, and jointly improve the quality of personnel training.

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Pei, Yongji, Hailong Wang, Mingxia Li, Xinlei Huang, and Wanmei Geng. "Research and Implementation of Power Grid Resource Information data-sharing Technology." Journal of Physics: Conference Series 2378, no. 1 (2022): 012093. http://dx.doi.org/10.1088/1742-6596/2378/1/012093.

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Abstract To avoid the waste of power grid data resources, under the condition of ensuring data security, the design of power grid resource information data-sharing is carried out. Firstly, the security problems that may be encountered in the process of resource sharing are analyzed, and the data resources are encrypted. Then, when that data carries out information interaction between the terminal equipment and the resource sharing cent, the transfer engine is utilized to process the transferred data and transfer the transfer data. Finally, the sharing of data resources is realized by building a calculation model. The experimental results show that the designed information and data-sharing technology consumes less energy on the terminal equipment, and reduces the workload of the terminal equipment for data transmission. It is hoped that the research of this paper can further promote the research of power grid information resource data-sharing.

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Kurokawa, Hidenori, and Hirohiko Kushida. "Resource sharing linear logic." Journal of Logic and Computation 30, no. 1 (2020): 295–319. http://dx.doi.org/10.1093/logcom/exaa013.

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Abstract In this paper, we introduce a new logic that we call ‘resource sharing linear logic (RSLL)’. In linear logic (LL), formulas without modality express some resource-conscious situation (a formula can be used only once); formulas with modality express a situation with unlimited resources. We introduce the logic RSLL in which we have a strengthened modality (S5-modality) that can be understood as expressing not only unlimited resources but also resources shared by different agents. Observing that merely strengthening the modality allows weakening axiom to be derivable in a Hilbert-style formulation of this logic, we reformulate RSLL as a logic similar to affine logic by a hypersequent calculus that has weakening as a primitive rule. We prove the completeness of the hypersequent calculus with respect to phase semantics and the cut-elimination theorem for the system by a syntactical method. We also prove the decidability of RSLL via a computational interpretation of RSLL, which is a parallel version of Kopylov’s computational model for LL. We then introduce an explicit counterpart of RSLL in the style of Artemov’s justication logic (JRSLL). We prove a realization theorem for RSLL via its explicit counterpart.

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Hua, Xufen. "An Optimization Method for Integrating Educational Information Resources Based on Edge Computing." Journal of Sensors 2022 (July 19, 2022): 1–12. http://dx.doi.org/10.1155/2022/9891117.

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This paper adopts an edge computing approach to conduct in-depth research and analysis on the optimization of educational information resource integration and constructs an integrated teaching resource design model concerning the integrated teaching model, human-centered mobile learning resource design, and the interdisciplinary concept of physics subject teaching method. The learning field constituted by the model is divided into two parts, the explicit field and the potential field and then designs a five-stage teaching resource based on the model. A five-stage teaching resource development path was designed based on the model. Based on the cloud service center model, we propose a hierarchical mechanism for sharing educational information resources and analyze how each hierarchical entity constructs and shares resources and the rights and responsibilities of each hierarchical entity; we explain the meaning and functions of the personalized educational resource integrated development environment provided by the cloud service center for users. The dynamic evaluation model of the value of educational information resources is summarized and proposed for the resource exchange behavior in the sharing of educational information resources, and the significance of the calculation method of resource value, parameter values, and resource value difference for resource sharing is introduced. Firstly, the mechanism for coconstruction of educational information resources at different levels is proposed, and the construction tasks of subjects at different levels in the process of coconstruction and sharing of resources are elaborated. The sharing mechanism of educational information resources covering the regularization system, evaluation mechanism, incentive mechanism, problem handling mechanism, and supporting service mechanism is proposed, and a dynamic evaluation model of the value of educational information resources is designed to improve the enthusiasm of the coconstruction and sharing subjects.

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JIANG, Xiaowei, Jingyan Shi, Jiaheng Zou, Qingbao Hu, Ran Du, and Zhenyu Sun. "Research and Exploit of Resource Sharing Strategy at IHEP." EPJ Web of Conferences 214 (2019): 03014. http://dx.doi.org/10.1051/epjconf/201921403014.

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At IHEP (Institute of High Energy Physics, Chinese Academy of Sciences), computing resources are contributed by different experiments including BES, JUNO, DYW, HXMT, etc. The resources were divided into different partitions to satisfy the dedicated experiment data processing requirements. IHEP had a local Torqu&Maui cluster with 50 queues serving for above 10 experiments. The separated resource partitions leaded to imbalance resource load. In a typical situation, BES resource partition was quite busy without free slot but still with lots of jobs in idle, while JUNO resources are free and wasted seriously. After moving resources from Torque&Maui to HTCondor in 2016, job scheduling efficiency has been improved a lot. In order to balance the imbalance resource load, we designed an efficient sharing strategy to improve the overall resourceutilization. We created an unified pool shared by all experiments. For each experiment, resources are divided into two parts: dedicated resource and sharing resource. The slots in dedicated resource only run jobs from its own experiment, and the slots in sharing resource are shared by jobs from all experiments. Default ratio of dedicated resource to sharing resource is 1:4. To maximize the sharing effectiveness, the ratio is dynamically adjusted between 0:5 and 4:1 based on the number of jobs submitted by each experiment. We have developed a central control system to decide how many resources can be allocated to each experiment group. This system is implemented at two sides: server side and client side. A management database is built at server side, which is storing resource, group and experiment information. Once the sharing ratio needs to be adjusted, resource group will be changed and updated into database. The resource group information is published to the server buffer in real-time. The client periodically pulls resource group information from server buffer via https protocol And resource scheduling configuration at client side is changed based on the resource group information. With this method, share ratio can be modified and deployed dynamically. Sharing strategy is implemented with HTCondor. ClassAd mechanism and accounting-group in HTCondor facilitate to utilizethe sharing strategy at IHEP computing cluster. With the sharing strategy, resource usage has been improved dramatically.

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Chen, Mumei. "Research on the transformation of Human Resource Sharing Center under the background of Artificial Intelligence - Take Haier Group as an example." Journal of Intelligence and Knowledge Engineering 1, no. 4 (2023): 40–51. http://dx.doi.org/10.62517/jike.202304410.

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With the reform of industry 4.0, Internet of Things and other modes, sharing economy is booming as a new economic form. Through the integrated utilization of excess capacity and idle resources, enterprises build platforms for sharing technology, finance and human resources to achieve win-win scale benefits shared by users. Senior managers of enterprises re-examine the role of HR, and organize human resource management, build a human resource-sharing center, and centralize, standardize and specialize transactional human resource base services. With the background of artificial intelligence, this paper studies the intelligent transformation of the human resource-sharing center of Haier Group. Using human resources sharing center theory analysis of Haier group human resources sharing center operation status, based on zero signature, zero delay and zero distance of the best experience goal, from the guest induction, pay payment and information system construction three key business, business process analysis, found that induction process, low efficiency, business consulting information lag and talent structure. Through in-depth analysis of the causes of the problem, business process optimization, and use artificial intelligence information technology business model innovation, induction process, pay process, information system and other business modules and talent development channel and talent cultivation system transformation to save operating costs, improve efficiency and organizational efficiency. Through the study of the transformation case of the human resource-sharing center of Haier Group, it can provide successful models and reference for the construction and transformation of the human resource-sharing center of other enterprises, and enrich the theory of the human resource-sharing center.

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Mahasorasak, Phattharakorn, Somneuk Sintupuan, Chalinda Ariyadet, and Nirote Sinnarong. "Resources Facilitating Information Sharing in Sweet Corn Supply Chain, Chiang Mai." Parichart Journal, Thaksin University 35, no. 4 (2022): 165–82. http://dx.doi.org/10.55164/pactj.v35i4.254129.

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Due to the competition in the market, sweet corn supply chain members are more aware of supply chain management. Information sharing in the supply chain is an approach that scholars and practitioners accept in terms of improving supply chain management efficiency. However, participating in a supply chain that promotes information sharing is still a challenge. This paper aims to investigate the association between related resources and information sharing and to evaluate the possibility of information sharing in sweet corn supply chain. This paper used the resource-advantage theory as the theoretical foundation and modeling binary logistic regression analysis, consisting of human, relational, and physical resources. Data was collected through semi-structured interviews with growers, coordinators, integrators, and factory managers. The results revealed that human resources (e.g., education level, work experience), relational resources (e.g., membership, trading channel), and physical resources (e.g., sweet corn variety) have statistical significance with information sharing. This confirms the resource as a potential source of opportunities to share information. The study helps supply chain members select a supply chain with better information sharing and provides guidelines to improve the efficiency of information sharing.

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Zhang, Xulin, Dan Xiong, Wei Huang, Deqin Zhang, and Shibin Li. "Research on the Reform of Laboratory Experimental Teaching of Automotive Majors in Local Undergraduate Institutions Based on Cloud Sharing." Journal of Education and Educational Research 2, no. 3 (2023): 54–58. http://dx.doi.org/10.54097/jeer.v2i3.7302.

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The development of network education resource cloud sharing in local undergraduate institutions can take advantage of cloud computing technology to achieve optimal integration and sharing of network automotive professional education resources, reduce resource construction costs, promote uniform distribution of resources, further improve the utilization rate of education resources, and promote the reform of laboratory experimental teaching of automotive majors in local undergraduate institutions. The current situation of laboratory experimental teaching of automotive majors in local undergraduate colleges and universities is analyzed, and the application mode of cloud sharing of educational resources of automotive majors in local undergraduate colleges and universities is discussed.

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Jia, Zihang, Jiasai Zhang, and Kenan Yi. "Mobile Education Resource Sharing Method for Wireless Broadband Connection." Security and Communication Networks 2021 (October 22, 2021): 1–10. http://dx.doi.org/10.1155/2021/6008149.

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The recall rate and precision rate of current mobile education resource sharing methods are low, and the resource sharing time is long, so a mobile education resource sharing method based on wireless broadband connection is proposed. Ant colony algorithm was used to optimize the focused crawler, the optimized crawler was used to capture the data of mobile education resources and extract the semantic features of the captured data, and the K-means clustering algorithm was used to cluster all the data. Based on the calculation results of network centrality and network density, a wireless broadband connection is used to schedule mobile education resources to complete the sharing of mobile education resources. The experimental results show that the proposed method’s recall rate and precision rate are above 95% and 96%, and the average resource sharing time is 0.63 s. The comprehensive performance of the proposed method is better.

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Liu, Jiliang, JunPing Sun, and Dramane Thiombiano. "Applying the Theory of Planned Behavior to Predict Consumer Behavior and Attitudes: A Case Study of Taiwanese Consumers on the Bonyo Tourism-Sharing Platform." Technium Social Sciences Journal 71 (May 8, 2025): 152–76. https://doi.org/10.47577/tssj.v71i1.12769.

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This study examines the use of internet-based sharing economy platforms by Taiwanese tourists who purchase travel itineraries in Japan. The findings corroborate the extended Theory of Planned Behavior (TPB) model, demonstrating its effectiveness in explaining consumer purchase intentions within the sharing economy, particularly in the utilization of idle resources. Results indicate that positive consumer attitudes and perceived behavioral control significantly influence the likelihood of purchasing idle resources. By incorporating additional variables, this study extends the traditional TPB/TRA framework, enhancing its explanatory power and predictive accuracy. Among the three core TPB variables, perceived behavioral control emerges as the strongest predictor of purchasing idle resource-based products, followed by behavioral attitudes, aligning with previous research on subjective norms and perceived control in the sharing economy. This study contributes to the literature by demonstrating that consumers’ emphasis on idle resources positively impacts attitudes, subjective norms, perceived behavioral control, and purchase intentions in network-based sharing economy platforms. The findings suggest that Taiwanese consumers' willingness to purchase idle resource-based products enhances their engagement with sharing economy platforms, further expanding the adoption of idle resource services. Additionally, this study highlights the role of idle resources in fostering business innovation and sustainability. Given that young people and students represent the primary consumer demographic, policymakers should implement targeted policies to raise public awareness of the economic and environmental benefits of idle resource utilization. To promote sustainable consumption and optimize resource efficiency, future business models should prioritize integrating idle resources into sharing economy platforms. Keywords: Sharing economy platform; Idle resources; Theory of Planned Behavior; Structural equation modeling, Taiwan, Japan

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Feng, Jian, Weiliang Zhang, and Sang-Bing Tsai. "Construction of a Multimedia-Based University Ideological and Political Big Data Cloud Service Teaching Resource Sharing Model." Mathematical Problems in Engineering 2021 (December 29, 2021): 1–12. http://dx.doi.org/10.1155/2021/9907630.

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In this paper, the intelligent education cloud service platform is first constructed in view of the high cost consumption in the process of resource sharing scheduling in colleges and universities. Secondly, the hierarchical education resource sharing grid model is proposed. Specifically, according to the characteristics of the educational resource grid, the key factors affecting the performance of copy creation strategy are analysed, and a dynamic copy creation strategy is proposed. A multiresource equity distribution mechanism based on the concept of resource sharing equity is further proposed. The mechanism establishes a planning model according to the limited task resource demand and the amount of resources shared by the user at different times so that the global cumulative share vector of superior resources meets the dictionary order optimally. The simulation experiment shows that the grid sharing model proposed in this paper has better performance on the educational cloud service platform. The proposed resource allocation mechanism has achieved good results in ensuring the fair distribution of resources and ensuring high resource utilization when resource sharing users put forward multiple groups of time-changing resource demands.

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Thuy, Do Thi Thanh. "Construction and Sharing of Library Digital Resources in China and Southeast Asia." Advanced Materials Research 936 (June 2014): 2298–301. http://dx.doi.org/10.4028/www.scientific.net/amr.936.2298.

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Resources development & sharing has become an important subject of widespread concern in the world and it is the inevitable demand of information society development. Sharing is not only a useful way to save money, reduce duplication of investment, improve resource utilization and realize resources complement, but also an important way to greatly improve the information flow and information services support capabilities, and promote society access to information in general. This paper introduces the importance of resources sharing between the libraries of China and Southeast Asian and it refers to the cooperation ways of digital resources sharing.

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Han, Meng. "Research on E-Government Information Resources Sharing System Based on Cloud Computing." Applied Mechanics and Materials 687-691 (November 2014): 1758–61. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.1758.

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With the rapid development of network technology, information technology has become a trend. However, our country’s government information technology still needs to improve as quickly as possible. The key to promote the construction of government information is to establish e-government information resource sharing system. Therefore, how to achieve e-government information resources sharing becomes a research focus. In the construction of e-government information resources sharing system, cloud computing playing a role cannot be ignored. In the paper, it will research and analysis how to construct e-government information resources sharing system.

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Chen, Xuejun, and Xiaopeng Ling. "A Conceptual Model Study of Tourism Resource Sharing in the Digital Economy." Sustainability 15, no. 12 (2023): 9752. http://dx.doi.org/10.3390/su15129752.

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The concept of “sharing” and the development of the digital economy have driven the transformation of resource allocation in the tourism industry to resource sharing. The article defines resource sharing in the tourism industry from a comprehensive perspective according to the systematic analysis of the concept of resource sharing and the background of the digital economy, which is an economic behavior of integrating, opening and sharing resources among members under the guidance of the government and relying on modern information technology such as the internet, with the sharing of usage rights as the main feature. Based on the dual inspiration of MICK resource classification theory and digital economy theory, the article constructs a conceptual model and measurement scale of resource sharing in the tourism industry from four dimensions: knowledge resource sharing, material resource sharing, information resource sharing and capital resource sharing. The panel data of 31 provinces (municipalities and autonomous regions) from 2016 to 2020 were analyzed mathematically and statistically. The analysis results showed that the weight of knowledge resources is the highest. Moreover, the eastern region had the highest level of resource sharing and the western region had the lowest level of resource sharing. Furthermore, the level of resource sharing in the past five years showed a trend of year-on-year improvement. Based on the scores, countermeasures are proposed in terms of enhancing the importance of information technology and strengthening basic support according to local conditions, which provide a reference for cities to improve the level of resource sharing.

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Tao, Yangsi, Hong Zou, Li Yan, and Minghui Kong. "Studying of Community Book Resources Sharing Service Design Based on Social Behavior Organization." Philosophy and Social Science 1, no. 5 (2024): 70–76. http://dx.doi.org/10.62381/p243512.

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This article studies the design of community book resource sharing services, analyzes the nature of social behavior organizations and how to effectively intervene through design methods, analyzes the advantages and disadvantages of existing competitive products, observes the needs of community residents for book resource sharing, and conducts service design research from the perspective of social behavior organizations. Through the "Book · Meeting" - Community Resident Book Resource Sharing Service System, it has been put into practice. We carry on innovation design from reading in idle resources sharing, planning and implementation, online interactive sharing, offline communication experience, build “read + share” community books resources sharing service system based on social behavior, carry on the practice and verification, conclude that studying service mode on social behavior organization is feasible, realize interdisciplinary research and broaden the research field of community development.

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Jia, Hao Lin, Yan He, Cheng Cheng Zhang, and Lei Chen. "Resource Sharing between Social Network and UPnP Network." Advanced Materials Research 989-994 (July 2014): 4767–70. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4767.

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Universal Plug and Play (UPnP) is a technology for devices interconnection and resource sharing in the home network. However, the UPnP network has a construct. User can only access local resources within the UPnP network, but user is Unable to access the resources outside the home network such as the resources of the user on the Internet. Now social network is popular, the user has a lot of resources in their own social network. How can the user realize resource sharing on social network to the UPnP network? It can make user can easily access to the user’s social resources on the network in their own UPnP home network. We found that most of the social network based on open platform OAuth authorization to third party that call the API to access the resources in social network. We now put forward a solution that is based on the architecture of UPnP AV, we can extend the media server’s function that call the social network open platform API to realize the resources sharing between social network and the UPnP network.

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Zhang, Ying, and Yongxiang Zhu. "Integration and Sharing Mechanism of Vocational Education Resources from the Perspective of Industry-Education Integration." Mobile Information Systems 2022 (September 10, 2022): 1–13. http://dx.doi.org/10.1155/2022/6595912.

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Teaching resource platform construction is a systematic project that needs to be constantly enriched and improved in use. The improvement process should always adhere to the principles of school-enterprise cooperation and joint construction and sharing. To solve the problems of weak service content and imperfect sharing mechanism during the construction of the current vocational education teaching resource library, a general framework for the construction of a shared teaching resource platform is designed. To address the problems of low platform resources differentiation and few sharing paths, an intelligent recommendation method based on coupled collaborative filtering and portrait analysis technology is proposed. By introducing attention mechanism and portrait analysis technology into the coupled collaborative filtering model, the platform users and resources are accurately matched to achieve intelligent sharing of vocational education resources.

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Li, Ning. "Study of Computer Network Resource Sharing for Advanced Engineering Applications." Applied Mechanics and Materials 484-485 (January 2014): 799–802. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.799.

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Resource sharing is based on network resource sharing, in which many Internet enthusiasts share the information collected by themselves with the world through some platforms for not pursuing any interests. Along with the wide application of computer network in the groups of users, a good communication platform between the Internet and users has begun to be produced, and also network resources gradually trend to the development of resources sharing, but are no longer simply enjoyed by a certain user. To analyze and further know the advantages of computer network resource sharing, it is necessary to combine with their actual application conditions. This is analyzed in this paper.

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Daglis, Theodoros. "Sharing Economy." Encyclopedia 2, no. 3 (2022): 1322–32. http://dx.doi.org/10.3390/encyclopedia2030088.

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Sharing economy is a new type of economic performance with its main characteristic being the sharing among peers. This can be regarded as a new economical approach with the individuals sharing their remainder resources. In this way, there is less need for the possession of resources leading to a decrease in redundant production. However, many implications arise from this type of economy.

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Shan, Yumei. "Online Sharing Mechanism of Teaching Resources from the Perspective of Knowledge Management." International Journal of Emerging Technologies in Learning (iJET) 18, no. 22 (2023): 100–114. http://dx.doi.org/10.3991/ijet.v18i22.44697.

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With the rapid development of network technology, online sharing of teaching resources has gained widespread attention in the educational field. This sharing not only provides educators and learners with rich learning resources but also opens up new channels for knowledge innovation and dissemination. However, it remains a major challenge to efficiently manage, allocate, and evaluate these resources. Existing research methods often rely too heavily on traditional knowledge management theories and overlook the characteristics of online environments. This research aimed to study and propose a new online sharing mechanism for teaching resources from the perspective of knowledge management. This study provided a new theoretical framework and practical strategy for online sharing of teaching resources by completing the knowledge management system based on the TransCat model, introducing the online sharing algorithm of Double Deep Q-Network (DDQN), and using the resource effectiveness evaluation considering knowledge potential differences.

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Perez-Sebastian, Fidel, and Ohad Raveh. "Natural resources, decentralization, and risk sharing: Can resource booms unify nations?" Journal of Development Economics 121 (July 2016): 38–55. http://dx.doi.org/10.1016/j.jdeveco.2016.02.003.

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Journal articles on the topic 'Resources sharing'

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