Resource Sharing Platform Research Articles

Social Entrepreneurship and Sustainable Development: the Creation of a Digital Platform Dedicated to Resource Sharing: Moroccan Case Study

Objective: The objective of this study is to investigate and analyze the role of digital social entrepreneurship in achieving sustainable development goals, with a deep focus on the creation of a digital platform for resource sharing. Theoretical Framework: The study is based on the concepts of social entrepreneurship and sustainable development, emphasizing their role in addressing social and environmental challenges such as climate change and inequality, while leveraging digitalization to maximize impact. Method: A quantitative study was conducted with 134 participants to examine the impact of digital social entrepreneurship on sustainable development. The data were collected using a structured questionnaire distributed through a non-probability snowball sampling method. Results and Discussion: The results demonstrate how the creation of a resource-sharing platform can exemplify digital social entrepreneurship. By connecting individuals and organizations for the sharing of materials, skills, and knowledge, the platform fosters the sharing economy, reduces waste, and promotes community cooperation. These outcomes contribute to the achievement of various sustainable development goals. Research Implications: The findings provide insights into the practical application of digital platforms in promoting sustainability and social entrepreneurship. They suggest that technology can be effectively harnessed to address global challenge. Originality/Value: This study contributes to the literature by illustrating how digital social entrepreneurship can serve as a powerful tool for sustainable development. Its originality lies in the innovative approach of combining technology with social problem-solving to drive socio-economic and environmental progress.

The Pathways and Mechanisms for Collaborative Innovation in Vocational Education, Higher Education, and Continuing Education

Against the backdrop of rapid global economic development, the demand for education has gradually shifted from quantitative growth to qualitative improvement. Vocational education, higher education, and continuing education are crucial components of China’s education system, each serving different educational functions. However, the collaborative innovation among these three types of education is still in the preliminary exploration stage, with issues such as scattered resources and imperfect coordination mechanisms. This paper systematically reviews relevant domestic and international research and practical experiences, thoroughly analyzes the pathways, models, and mechanisms of collaborative innovation among these three types of education, and proposes practical and operational suggestions based on the actual situation in Xuzhou City. The study finds that collaboration between vocational education, higher education, and continuing education through innovation not only enhances the overall efficiency of educational resources but also promotes regional economic development and social progress. On this basis, this paper proposes specific measures such as building an education resource-sharing platform, promoting a chain-based talent training system, strengthening policy and institutional guarantees, and improving incentive mechanisms, aiming to provide a reference for local education administrators and contribute to the innovative development of education in China.

Computer Allied Intelligence in the Education Resource-Sharing Based inContract Deep Learning

A resource-sharing platform is an online space where individuals or organizations can exchange or access various resources, such as knowledge, skills, tools, or assets. These platforms facilitate collaboration and cooperation among users by providing a centralized hub for sharing resources efficiently. In university higher education, a resource-sharing platform serves as a vital tool for students, faculty, and staff to optimize access to a wide array of educational resources. These platforms enable the sharing of academic materials, such as textbooks, lecture notes, and research papers, fostering collaborative learning environments. This paper proposed the proposed method of Distributed Consensus Blockchain Deep Learning (dCBDL) for a resource-sharing deep learning platform in higher education aims to revolutionize collaborative learning and resource utilization. Initially, the dCBDL model uses a blockchain network that serves as the underlying infrastructure for the platform. This blockchain will store transaction records, verify the authenticity of shared resources, and ensure data integrity and immutability. The proposed model uses smart contracts and decentralized storage with a consensus mechanism for data processing in higher education. Finally, the proposed dCBDL model uses the deep learning model for the classification and assessment of student performance in higher education. The proposed model achieves a classification accuracy of 98% which is significantly higher than the conventional techniques such as blockchain architecture and SVM and LSTM classifiers.

INCENTIVE MECHANISMS OF AN EXPERIMENTAL RESOURCE-SHARING PLATFORM CONSIDERING REPUTATION EFFECTS FOR MEGAPROJECTS

Participating in megaproject experimental tasks would significantly improve the laboratories’ industry influence and future competitiveness. Thus, this paper introduces the long-term reputation effects of the incentive model of an experimental resource-sharing platform for megaprojects, which could motivate them to consider future benefits and improve their current efforts. The aim is to incentivize laboratories’ resource-sharing behavior more effectively and to increase the amount of resources shared by these laboratories on the platform, thus guaranteeing the long-term sustainability of the platform. It constructs the incentive model by combining dual implicit and explicit incentive mechanisms. It analyses the incentive mechanism of a reputation effect on laboratories compared with the pure explicit mechanism so that the primary conditions for reputation incentives can be obtained to achieve Pareto improvement. Finally, the proposed method is validated in combination with data simulation. The results show that although dual implicit and explicit incentive mechanisms could reduce the information asymmetry between the two sides and increase the efforts of laboratories and the benefits of the platform, the platform should not blindly increase the intensity of these incentives and need to consider the influence of the subsidies of these laboratories’ upfront inputs, the degree of sharing and their informatization capabilities.

Management and Construction of University Books and Materials Under the Background of the Internet

The rapid development and popularization of Internet technology has provided important support for the informatization reform of various industries. University books and materials have the characteristics of large quantities and difficult storage and management. Its digital storage and management platform construction can effectively realize the digital storage and real-time retrieval of books and materials, and help students and teachers to find and use books and materials more quickly. Especially in recent years, with the update of intelligent platforms and other technologies, the resource-sharing platform of university books and materials can realize more convenient book information retrieval without the limitation of time and space. This paper mainly explores the optimization path and platform construction scheme of university libraries and information management under the background of the Internet, hoping to provide some theoretical references for university library managers.

Integrating Industry Education in Modern Industrial Colleges

Since the new era, integrating industry education in modern industrial colleges has become an innovative exploration model for university education in China. This paper takes the construction of the modern industrial college of Shandong Sport University as the research object. It uses literature review and interview methods to conduct study for modern industrial colleges. There are challenges of incomplete policy system construction, weak resource integration, and limited participation of enterprises in industry education integration in the modern industrial college. Based on this, Shandong Sport University should optimize the policy environment, formulate or issue specialized guidance documents, build a resource-sharing platform, and build a joint communication mechanism between universities and enterprises to improve integrating industry education in modern industrial colleges.

Research on the Construction of Vocal Music Teaching Resources Integration and Sharing Platform in Colleges and Universities under the Background of Modern Science and Technology

Abstract The construction of the teaching resources sharing platform provides high-quality teaching resource retrieval and browsing channels for teachers and students in schools and the majority of off-campus users. This paper combines the functional objectives of the sharing platform design, analyzes the functional requirements of the sharing platform, and designs the overall functional framework of the platform with the advantage of cloud platform technology architecture. Gagne's classification theory of learning results is used to categorize vocal music teaching resources. Blockchain copyright protection technology has been selected to manage the digital resources of vocal music and optimize the privacy protection of users and resource copyright information. Design a user-friendly interface, update the learning interest model using the user interest model, form a personalized recommendation model based on students’ learning interests, and design a sharing scheme for vocal music teaching resources. Test the response performance of blockchain copyright protection and analyze the service impact of a college vocal music teaching resource-sharing platform from the perspective of learning support service. Most of the students have learning communities in the learning process, and the learning communities give the learners a “common identity” and emotional support services so as to achieve the purpose of the construction of a college vocal music teaching resources sharing platform.

A Study on Constructing Digital Resource Sharing and Management Platform by Applying Cultural Compositions of the Historical Urban Area

<p>With the characteristics on recording the trace of human life, cultural heritage is acknowledged as possessing significant humanistic, spiritual, and socio-economic values. However, there remain problems such as insufficient integration with science and technology, inadequate design innovation, and the lack of digital construction. Based on these problems, the article discusses the need of constructing a digital management platform with cultural heritage knowledge, the expression paradigm, the essential contents, and key technologies. By elaborating current status of its application and utilization, the study explores issues including scattered resources, simple transplantation and lacking digital approach. And it found that designers’ cognition on cultural heritage is relatively superficial, especially for images and literal meanings. Aiming for sharing design knowledge of cultural heritage, the study proposes a conceptual model digital platform of management based on the exploration of design process in extracting cultural elements and verifying the feasibility where design needs can be achievable. Taking Macao’s historic area as an example, the study demonstrates a way to construct the digital resource sharing and management platform using “open source” approach as a sort of design alternative where cultural elements and compositions can be applied efficiently.</p> <p> </p>

Research on the Construction and Effectiveness of Teaching Resource Sharing Platform for Art and Design Majors

Abstract In the information society, the sharing characteristics of Internet information provide students with rich teaching resources. This study integrates Hadoop technology with the teaching resource sharing system for art and design majors in colleges and universities. It builds an open-source parallelised computing and distributed architecture based on the traditional B/S model, using the distributed file system HDFS to store massive teaching resources. On this basis, MapReduce, a parallelised programming model, is used to provide parallel computing retrieval functions, and the innovative contract technology of blockchain is introduced to store data-heavy shared teaching resources in the underlying IPFS to ensure the security and trustworthiness of shared data. The results show that under the blockchain environment, the retrieval time of teaching resources is as low as 12ms only, and the Gas value consumed by the operation of storing data totals 0.1385 ETH, which meets the performance requirements of the platform and provides a new practical solution for sharing teaching resources.

Research on the Construction of Medical Archives Information Resource Sharing Platform under the Background of Digitization

Abstract Establishing a medical archive information resource-sharing platform can effectively address issues of resource waste, unavailability, and retrieval. The article develops a medical archive information resource-sharing platform using virtualization and cloud computing technology and proposes a virtualization-based RA_WLC resource scheduling strategy to achieve real-time allocation and scheduling of system resources. Through experimental testing of the medical archive information resource-sharing platform proposed in this paper, the article concludes that two critical paths to promote the construction of the resource pool are derived from the grouping analysis of conditional variables, i.e., Combined Path I (A1): P1*P2*P3*P4*P5*~P7 (Subject*System Standard*Technology Platform* Resource*User*Non-Feedback), Combined Path II (A2): P1*P2* P3*P4*P5*P6 (subject*system standard*technology platform*resource* user*environment). The performance test of the system yields a fault tolerance rate of 0~0.01 for 2000~4000.

Research on the Design of Digital Teaching Resource Management and Sharing Platform in Colleges and Universities Based on Cloud Storage

Abstract In this paper, after analyzing the structural system of the digital resource sharing model in colleges and universities, a shared storage model based on cloud storage is designed, and a digital teaching resource management and sharing platform for colleges and universities based on cloud storage is constructed on this basis. In order to realize accurate sharing, the sharing behaviors of teaching resources are symbolically illustrated, double behavior aggregation is performed, and a multidimensional preference personalized recommendation algorithm, i.e., DB-CGAT model, is designed to construct the personalized sharing module of teaching resources that integrates the behavioral graph. In addition, three types of experiments are conducted on the personalized sharing module of the platform to test its sharing performance and overall performance. The results show that the accuracy of this model is reduced by 0.04 compared with the traditional algorithm; the 90 percent time of login transaction is 2.44, and the time of query transaction is 1.46, which is all up to the standard value. All the action actions are green, and the number of clicks and throughputs in 5~30ss are around 120. Universities can benefit from the digital teaching resource management and sharing platform designed in this paper, which can improve teaching efficiency.

Research on Governance Mode of Digital Platform Ecosystem from the Perspective of Ecological Niche: Based on Double Case Analysis

In order to comply with the requirements of the times, in view of the problem that the strength of the main enterprises of the digital platform ecosystem is too different, which leads to too large differences in resources. From the perspective of the niche, firstly, this paper integrates the three governance modes of "hierarchical governance", "cross-level governance" and "panoramic comprehensive rational analysis framework", and puts forward the "panoramic joint governance mode from the perspective of niche". Secondly, the two cases of Haier COSMOPlat Ecology and Huawei Smart Car Ecosphere are selected, and the exploratory case analysis and comparative study methods are used to carry out corresponding analyses on the two cases to verify the feasibility of the new governance mode. The study found that the essence of this governance mode is to create more connection points by introducing a resource-sharing platform based on the new generation of information technology, breaking the fault-type hierarchical governance, focusing on solving problems at all levels, and attracting more regulatory bodies to conduct joint governance. Through these, we can expand the niche width of the digital platform ecosystem, then reduce the barriers to resource sharing among the subjects of the digital platform ecosystem. By applying this mode, different forms of digital platform ecosystems can achieve efficient operation.

Construction of preschool education resource sharing platform based on matrix model

Abstract This paper achieves high-quality sharing of preschool educational resources among learners based on a matrix model. Through the shared resource matrix analysis method, the symmetry of the matrix about this educational resource is judged so that the resource can transmit information implicitly among all subjects. The difference between noise and preschool education resource data points is enhanced using the K-nearest neighbor search algorithm. Combined with the ant colony particle swarm optimization algorithm, the sharing sequence and time of the optimal preschool education resources are calculated, and a preschool education resource-sharing platform is constructed. To verify the applicability of the constructed platform, the simulation analysis results show that the resource search accuracy of the platform constructed in this paper reaches 94.51% on average, and the compatibility performance index is as high as 7.287vw, which is 3.25vw and 3.421vw higher compared to other platforms, respectively. The results show that the matrix model can eliminate resource heterogeneity and provide convenient and efficient interactive technical support for constructing a preschool education resource-sharing platform.

Statistics and Analysis of Digital Information on Vascular Plant Specimens and the History of Plant Collecting in Guangzhou, China.

This paper presents a comprehensive analysis of digitized specimen data and relevant literature to investigate the vascular plant diversity in Guangzhou City, China. Specimen data were collected from various sources, including the China Digital Herbarium (CVH), the National Specimen Resource Sharing Platform (NSII), Global Plants on JSTOR, and the Global Biodiversity Information Facility (GBIF). Following data standardization, the study identified 41,890 vascular plant specimens, encompassing 248 families, 1563 genera, and 4536 species, including subspecies and cultivated plants. Among them, the native plants of Guangzhou city accounted for 60.6% of the species. The temporal analysis identified three distinct peaks in specimen collection: 1916-1920, 1928-1936, and 1950-1964. Collection activities were primarily concentrated between the months of April and November. The distribution of collected specimens exhibited significant variation among different species, with families such as Fabaceae, Poaceae, and Myrtaceae having the highest number of specimens. Similarly, genera such as Eucalyptus, Ficus, and Citrus were well-represented. The most frequently collected species included Litchi chinensis, Eucalyptus robusta, and Cycas taiwaniana. Remarkably, 21 species had specimen counts exceeding 100. Unfortunately, approximately three-quarters of the species had fewer than 10 recorded specimens. Alarmingly, 1220 species were represented by only one specimen. Geographically, the majority of specimens originated from the former suburbs of Guangzhou, Conghua Delta Mountain, and Liuxi River areas, while other regions had limited representation. In terms of specimen collections, the Herbarium of South China Botanical Garden of the Chinese Academy of Sciences (IBSC) recorded the highest number of specimens (13,828 specimens), followed by the Tree Herbarium of South China Agricultural University (CANT; 3869 specimens) and the Herbarium of Sun Yat-sen University (SYS; 3654 specimens). The collection history in Guangzhou spans nearly 300 years and can be broadly divided into two distinct periods. The first period extends from the late 13th century to 1949, primarily encompassing the collection efforts of foreign visitors in Guangzhou, and represents the pioneering phase of plant taxonomy research in China. The second period, from 1949 to the present, is characterized by extensive investigations and collection activities conducted by local scholars, with a specific emphasis on native plant resources. By meticulously organizing and verifying information derived from historical documents and specimens, the paper effectively summarizes the plant collection and research history of Guangzhou, providing detailed profiles of the key collectors. These findings furnish reliable historical reference materials for the study of plant taxonomy and diversity in Guangzhou.

Retracted: Construction of Data Resource Sharing Platform for College Students’ Ideological and Political Education Based on Constraint Clustering

Retracted: Construction of Data Resource Sharing Platform for College Students’ Ideological and Political Education Based on Constraint Clustering

English teaching system design based on ID3 algorithm and node optimization.

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.

Retracted: Construction of Data Resource Sharing Platform in College Students’ Ideological and Political Education Based on Deep Learning

Retracted: Construction of Data Resource Sharing Platform in College Students’ Ideological and Political Education Based on Deep Learning

Design and Implementation of a Resource Sharing Platform based on Cloud Computing

Entering the era of big data, while the amount of resource information is increasing exponentially, it has greatly increased the difficulty of people's resource sharing and searching. The design goal of this resource sharing platform is to gather the power of a large number of netizens to collect and integrate a large amount of resources, so that users can enrich the resource library as resource sharers while searching for resources. This system is an online multi-person resource sharing platform designed based on the Springboot and Vue2.0 framework, which implements functions such as user registration and login, data sharing, search, and comments. It also implements resource and user information management functions in the administrator module, as well as AI image audit image function based on Yolo. This system adopts cloud computing cloud database technology and cloud computing host technology to reduce system operating costs, and uses Sa Token plugin to ensure system security. While providing a resource sharing platform for netizens, it also adds corresponding resource audit functions such as image auditing.

Design of College Online Resource Sharing and Practice Platform Assisted by Opensource Public Cloud Big Data

The educational resource sharing platform is designed and developed with open source tools such as Spark computing engine, Hive data warehouse, MySQL database, InfluxDB timing library and Akka toolkit. Combined with the characteristics of private cloud computing technology, it gives full play to the advantages of cloud computing, which can save investment costs, provide secure storage and improve the level of resource sharing in the construction of information platforms. Design and implement an educational resource sharing scheme; implement a resource search algorithm based on a complex network-based resource search model; design and implement the platform's resource processing module, blog module, circle module, user management module, etc.

Design of an English Web-based Teaching Resource Sharing Platform based on Mobile Web Technology

Thanks to the booming technology of computers and multimedia, student-centered online teaching resource platforms have become an important way for students to learn. However, English teaching resource platforms at the present stage fail to effectively integrate the massive and scattered learning resources. Based on this, the study proposes an English online teaching resource sharing platform based on mobile Web technology, using the SOAP protocol to deploy heterogeneous data resources as Web services to achieve interchangeability between heterogeneous resources. In addition, to enhance the efficient use of learning resources by students, the study proposes a hybrid algorithm based on collaborative filtering algorithm and sequential pattern mining algorithm to achieve personalized sequential recommendation for students. The results show that the platform created by the study exhibits excellent performance in terms of resource transfer capability, achieves efficient teaching resource sharing in a short response time and also shows that the proposed recommendation algorithm is highly accurate.