Shared Platform Research Articles

The capacity matching problem of the third-party shared manufacturing platform with capacity time windows and order splitting

The development of sharing economy and new information technologies has promoted the emergence of third-party shared manufacturing platforms (TPSMPs). In the shared manufacturing context, one main challenge to TPSMPs is the matching of manufacturing enterprises with insufficient production capacity (capacity demanders) and those with overcapacity (capacity suppliers), where available capacities of capacity suppliers are within time ranges, and orders of capacity demanders can be split. In this capacity matching problem with capacity time windows and order splitting (CMPCTW-OS), each capacity demander's order needs to be delivered on time, while each capacity supplier can also match with multiple capacity demanders and fulfil orders of the capacity demanders by sequence. A mathematical model for the CMPCTW-OS is developed to maximise the total profit of the TPSMP. Then, we design a two-stage heuristic algorithm to solve this model. In the first stage, the inserting algorithm (IA) is used to obtain an initial feasible solution. In the second stage, the iterated local search (ILS) is applied to optimise and improve the initial feasible solution. Finally, in numerical simulation experiments, the effectiveness of IA-ILS has been verified by comparison with the GUROBI solver.

Abstract WP134: Door to Angiography in Large Vessel Occlusions Pre and Post Implementation of Automated Image Interpretation and Sharing Platform: A Single Center Study

Background: Viz LVO is an FDA approved software that uses artificial intelligence to identify large vessel occlusions (LVOs) on computed tomography angiography (CTA) and facilitate communication between providers in a hub-and-spoke network. Whether this software expedites patient evaluation for treatment is unexplored. Methods: A single center retrospective registry was queried for patients with LVO of the internal carotid, proximal middle cerebral, or basilar artery in a stroke network (8 spokes, 1 hub). Eligible patients were in a 6-month period before (pre-Viz) and following implementation (post-Viz) of Viz LVO. Descriptive statistics and robust regression modeling were used to describe time from first contact to angiography (primary outcome) and other intervals between pre-Viz and post-Viz study groups. Results: Of 132 included patients (n=58 pre-Viz), small differences were found in demographics and non-significantly fewer patients underwent endovascular therapy (EVT) in the post-Viz period (73.0% vs. 86.2%, p=0.07). Time from spoke arrival to hub arrival among transferred patients was non-significantly shorter post-Viz (median 124 vs. 147 min, p=0.15). In patients who received EVT, there was a non-significant reduction in time from first contact to angiography (median 116 vs. 155 min, p=0.10) with shorter intervals for transferred patients (median 142 vs. 169 min, p=0.05) but not hub arrivals (p=0.81). For transferred patients, shorter intervals from initial contact to angiography were observed in adjusted robust regression, accounting for stroke severity, age, Alberta Stroke Program Early Computed Tomography Scale score, and use of perfusion imaging (β -32.4, 95% confidence interval -61.6 to -3.26, p=0.03). Conclusions: Implementation of the Viz LVO platform was associated with shorter intervals between initial hospital contact and neurointervention among transferred patients. Larger datasets are needed to validate these observations.

Accelerating an integrative view of quantum biology.

Quantum biology studies span multiple disciplines including physics, engineering, and biology with the goal of understanding the quantum underpinnings of living systems. Recent findings have brought wide attention to the role of quantum mechanisms in the function and regulation of biological processes. Moreover, a number of activities have been integral in building a vibrant quantum biology community. Due to the inherent interdisciplinary nature of the field, it is a challenge for quantum biology researchers to integrate and advance findings across the physical and biological disciplines. Here we outline achievable approaches to developing a shared platform-including the establishment of standardized manipulation tools and sensors, and a common scientific lexicon. Building a shared community framework is also crucial for fostering robust interdisciplinary collaborations, enhancing knowledge sharing, and diversifying participation in quantum biology. A unified approach promises not only to deepen our understanding of biological systems at a quantum level but also to accelerate the frontiers of medical and technological innovations.

Analysis of The Influence of Situational Digital Advertising Through Online Video Sharing and Social Media Platform on Customers Intention to Purchase at E-Commerce Application Shopee

This research aims to determine the effect of advertising exposure on shopping interest. The paradigm used in this research is the positivism paradigm. This study uses a quantitative approach. This research uses non-experimental research methods with a type of method, namely the survey method. The population in this study were students. The number of samples in this research was 100. The primary data for this research uses data obtained from a questionnaire that has been distributed in the form of a Google Form. The linear regression test in this research uses product moments with SPSS version 24 for Windows. Based on the findings and discussion of the research that has been carried out, it can be concluded that the level of advertising exposure is in the medium category with a percentage of 60%. The level of interest in shopping through applications is also in the medium category, with a percentage of 40%. From the research results, it can be concluded that advertising exposure influences shopping interest. Based on the results of the t-value, namely 3.5 > 1.98, The coefficient of determination in this equation has a positive value of 12.5%. This figure means that the advertising exposure variable does not have a big influence on shopping interest at 12.5%. Other factors that were not considered in this study contributed the remaining 87.5%. So the conclusion is that if the advertising exposure variable increases, then interest in shopping through the application will also increase. Vice versa, if advertising exposure decreases, shopping interest also decreases.

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.

Sizzle or Fizzle? Supply and Consumption Dynamics of Home-Cooked Food on Sharing Platform

To address the growing obesity crisis, governments are promoting home cooking to improve dietary habits. Home-cooked food-sharing platforms, a manifestation of the sharing economy, offer consumers healthy food options. While the economic benefits of the sharing economy have been extensively studied, little is known about its impact on non-economic factors, such as consumers’ health. To address this gap, we conduct an empirical study using data from a mobile kitchen-sharing platform and four controlled experiments to investigate whether the sharing economy helps consumers develop healthy eating habits. We use manual coding and machine learning methods to evaluate the healthiness of over 180,000 unique dishes and examine food provision and consumption on the platform. Our findings indicate that as consumers use the platform more frequently, they tend to consume more unhealthy food. Additionally, sellers who receive more orders and earn more revenue tend to offer less healthy food over time. Two controlled experiments prove consumers are more likely to order unhealthy food online. Furthermore, these experiments provide causal evidence that consumer food consumption patterns drive seller food provision rather than vice versa. Our results suggest that the sharing economy may have negative consequences due to misaligned interests between sellers and consumers. Fortunately, we identify conditions that may mitigate these effects in empirical analyses and two experiments. Specifically, consumers who choose dine-in options (as opposed to takeaway) and those who order for groups (as opposed to individual orders) tend to make healthier food choices on the platform due to impression management motivation.

Users’ Satisfaction Improvement of Financial Shared Service Platform—Perceived Usefulness Mediation and NGIT Application Maturity Adjustment

Users’ Satisfaction Improvement of Financial Shared Service Platform—Perceived Usefulness Mediation and NGIT Application Maturity Adjustment

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>

Obstáculos no combate à tuberculose multidroga resistente em pacientes pediátricos: uma revisão de escopo

Abstract Objectives: to identify the scientific evidence on excessively resistant and multidrug resistant tuberculosis in pediatric patients. Methods: this is a scope review of the literature, with a guiding question: “What is the scientific evidence on multidrug-resistant tuberculosis (MDR-TB) and extensively drug-resistant tuberculosis in pediatric patients?”. The research used the descriptors: “extensively drug-resistant tuberculosis” OR “multidrug-resistant tuberculosis” AND “pediatrics”. The research was carried out in a double-blind manner in the following databases of the Medical Literature Analysis and Retrieval System Online, Regional Office for the Western Pacific’s Institutional Repository for Information Sharing, Embase/Elsevier and International Clinical Trials Registry Platform, with a temporal cut-off from 2011 to 2021, sending a final synthesized sample of 18 articles, which evaluated the methodological content through the level of evidence. Results: the results show the lack of research with a high level of evidence related to MDR-TB in children, the lack of adequate dosage of second-line drugs for the pediatric population and the importance of drug sensitivity testing for the cases of treatment Conclusions: it was identified that the obstacles to MDR-TB treatment were concentrated in the lack of detailed protocols, safe drug dosages with a low side effect, and mainly in the social health determinants and disease process involving MDR-TB.

Information Sharing Platform for Teaching Projects Based On Network Computing In Sharing Mode

The network computing-based teaching project information sharing platform is an educational platform that uses the modern network technology and computing resources to realize the information sharing and cooperation between teachers and students. However, the traditional method of the generating the teaching project information sharing platform has some problems such as slow transmission speed and limited storage space. Therefore, this paper studies the information sharing platform of teaching project based on network computing, and studies the method of the information sharing platform of teaching project based on network computing by literature research, empirical analysis and other methods. Through the comprehensive analysis of the relevant research and practical cases in this field, the basic principles, technical architecture and functional characteristics of the platform are more clearly understood. The information sharing platform of teaching project based on network computing can realize the information transmission and storage of teaching project within its own platform so as to avoid the shortcomings of the traditional method due to the difference of storage space, speed and operation mode. Compared with the traditional method, the information sharing platform of teaching project based on network computing can achieve higher transmission speed, larger storage space, better security and better user experience. The platform adopts modern network infrastructure and distributed storage computing technology to realize the faster and more efficient transmission and processing of data.

Construction of Enterprise Economic Management Sharing Platform Based on Feature Recognition Grid System

In this paper, we construct an enterprise economic management sharing platform based on the feature recognition grid system, firstly, we use the fuzzy matching recognition algorithm to extract the grid features of economic management and map them into the fuzzy set of affiliation features, and then we extract the feature vectors from each grid to get the feature matrix, and finally, according to the similarity degree of the feature sequences, we set a threshold to give the recognition result. The results show that the recognition rate of the platform constructed in this paper reaches more than 99%, the classification accuracy is about 90% on average, and the optimization time is only about 19 s. It is verified that the method of this paper improves the accuracy of enterprise economic management, and has a positive role in promoting the healthy development of enterprises.

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.

Design of an Intelligent Financial Sharing Platform Driven by Digital Economy and Its Role in Optimizing Accounting Transformation Production

Design of an Intelligent Financial Sharing Platform Driven by Digital Economy and Its Role in Optimizing Accounting Transformation Production

Research on Cloud Computing-based Music Resource Sharing Platform Technology and Its Promotion of Employment and Entrepreneurship

Abstract Music resource-sharing platforms can increase students’ employment paths and enhance their employment ability. Load prediction and resource scheduling algorithms are designed in this paper to construct a music resource-sharing platform based on cloud computing technology. The mean predictor’s predictions are combined with the GRU-CNN model’s predictions, and the weighted average is calculated to enhance the accuracy and stability of the predictions. Then, the integrated migration scheduling method is designed to make the load of the cloud environment more balanced and the resource utilization more reasonable by the four processes of migration triggering, container selection, node selection, and container migration in a coarse-grained dynamic scheduling approach with nodes as objects. Following the completion of the construction, the algorithm that was designed is evaluated for load prediction and resource scheduling, and regression analysis is performed to examine the role of music resource-sharing platforms in promoting employment and entrepreneurship. It is found that after the resource scheduling by the algorithm in this paper, the node operation tension is greatly alleviated, and the CPU resource utilization and memory resource utilization of node Node1 are reduced from 80.96% and 62.69% to 58.03% and 43.36%, respectively. The resources of the low-load node Node4 are effectively utilized, the memory resource usage rate has increased from 6.86% to 49.52%, and the resource usage of each node in the cluster is more balanced and reasonable. At a statistical level of 1%, the impact of music resource-sharing platform development on employment quality is 0.194. In contrast, the industrial structure does not significantly contribute to the quality of employment, indicating that under the current economic situation, emerging economic forms such as music resource-sharing platforms are the main driving force to improve the quality of employment and the development of music resource sharing platforms generally improves the quality of labor force employment.

The formation pattern, causes, and governance of network public opinion on university emergencies.

University emergencies, garnering significant public attention and shaping network opinions, pose a crucial challenge to universities' management and societal stability. Hence, network public opinion on university emergencies is a vital issue. Nevertheless, the underlying mechanism has not been fully explored and cannot be efficiently controlled. This study aimed to explore the formation pattern of network public opinion on university emergencies, analyze its causes, and provide scientific governance strategies for coping with this issue. Based on a sample set of 204 cases from the Zhiwei Data Sharing Platform, this study classifies network public opinion on university emergencies into six types and visually analyzes their characteristics: time distribution, subject, duration, and emotion. By integrating the theory of the network public opinion field, this study develops a network public opinion field model of university emergencies to reveal its formation pattern. Furthermore, it analyzes the causes of network public opinion on university emergencies from the perspective of the public opinion lifecycle and proposes corresponding governance strategies. The sample consisted of 304 cases of real-life public opinion, and the visualization results show that public opinion on mental health and teacher-student safety constitutes the predominant types, accounting for 83.3%. High-occurrence subjects are public universities (88.24%) and students (48%). The most frequent months are July and December. 90.20% of the public opinions have a lifespan of less than 19 days, with an impact index ranging from 40 to 80. The public's emotional response to different types of public opinion varies, with negative emotions dominating. This study provides novel insights for understanding their formation and dissemination. It also provides practical implications for relevant departments to govern network public opinion on university emergencies.

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.

Cis-Irpin Region: Palimpsest of Traditions and Avant-Garde (Exemplified by the Village of Bobrytsia in Bucha District of Kyiv Oblast)

The aim of the research is to unveil the unique features of the cultural landscape of the village of Bobrytsia in Bucha District of Kyiv Oblast in the Cis-Irpin region, which are insufficiently described in ethnological studies. The landscape is considered as a distinctive palimpsest and a conduit of cultural memory. The local community, engaging with both traditional and contemporary forms of environmental development, serves as the focal point of the investigation. Diverse research methodologies, encompassing ethnographic and anthropological approaches, as well as the analysis of social networks and in-depth interviews with respondents, are used. Two primary groups of village inhabitants are determined in the article. It is emphasized in particular on their disparities in civic and cultural orientations. While new residents are focused on avant-garde artistic practices, involving the entire community (such as street art), organizing international plein airs, the old residents on the other hand have endeavored to pass on the local context, respect for heritage, and a distinctive attitude to the origins of the ancient Cossacks’ village. However, here traditions and avant-garde do not conflict but interact and coexist, creating a unique cultural context. An active collaboration within the community is shown towards establishing a shared platform for uniting old and new residents through ecological and cultural-artistic projects. The key themes in the local discourse are described in the text, including the visual portrayal of the village, the role of the museum, and the creation of new identities. The meaningful components of local interactions, focused on a collective vision of the cultural landscape as the primary resource for sustainable territorial development are considered. It is emphasized that while suburban villages in Irpin region may exhibit typical infrastructure, they manifest notable distinctions in community practices. The submitted experience is a revolutionary one due to the attempts of both new and old residents to cooperate actively, creating optimal mechanisms of involvement, and considering attentively local traditional eco-cultural senses.

Application of cloud server-based machine learning for assisting pathological structure recognition in IgA nephropathy

BackgroundMachine learning (ML) models can help assisting diagnosis by rapidly localising and classifying regions of interest (ROIs) within whole slide images (WSIs). Effective ML models for clinical decision support require...

Technology Diffusion and Climate Action: A Leader–Follower Model

Can a small technology-developing country increase technology diffusion to developing countries in climate action? We argue that when a country takes into account all direct and indirect benefits from pushing forward the transnational diffusion of national green technology, a free transfer may give the country a net benefit. This result is driven by the idea that technology transfer partnerships enable the countries to tailor technology development to best fit the special circumstances of receiving countries. Such decentralised cooperation can pave the way for scalable technology diffusion. The focus is on one country’s renewable energy technology development and how this can affect climate action in major developing countries such as China and India. We propose a leader–follower model between the technology-developing country and the developing country that allows complex payoffs and focuses on a situation in which one country makes a cooperative move to solve the inherent collective action problem. This effective shared learning platform has an upscaling potential, and international organisations, such as the European External Action Service, could further facilitate technology diffusion to developing countries.

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.