Open Platform Research Articles

The Development of Entrepreneurial Competencies among Students of Various Age Groups within the MOOCs Environment

This article is dedicated to exploring the peculiarities of developing entrepreneurial competencies among students of different age groups in the Massive Open Online Courses (MOOCs) environment. A model for teaching entrepreneurship in the MOOC environment has been developed. Additionally, the model involves the implementation of pedagogical approaches to the development of entrepreneurial competencies using digital platforms and tools. An educational experiment involving 150 students aged 16 to 60 from Russia, Kazakhstan, Belarus, Romania, and Bulgaria was conducted on the open educational platform Coursera. The study’s results indicated that the correlation of learning outcomes for the older generation was significantly lower than that for the younger generation, regardless of the training type. It was concluded that online courses are effective for both young and elderly respondents, but their learning perception differs. This article can be useful for developers of educational business courses in the MOOC environment that aim to expand the age characteristics of students.

RankFIRST: Visual Analysis for Factor Investment By Ranking Stock Timeseries.

In the era of quantitative investment, factor-based investing models are widely adopted in the construction of stock portfolios. These models explain the performance of individual stocks by a set of financial factors, e.g., market beta and company size. In industry, open investment platforms allow the online building of factor-based models, yet set a high bar on the engineering expertise of end-users. State-of-the-art visualization systems integrate the whole factor investing pipeline, but do not directly address domain users' core requests on ranking factors and stocks for portfolio construction. The current model lacks explainability, which downgrades its credibility with stock investors. To fill the gap in modeling, ranking, and visualizing stock time series for factor investment, we designed and implemented a visual analytics system, namely RankFIRST. The system offers built-in support for an established factor collection and a cross-sectional regression model viable for human interpretation. A hierarchical slope graph design is introduced according to the desired characteristics of good factors for stock investment. A novel firework chart is also invented extending the well-known candlestick chart for stock time series. We evaluated the system on the full-scale Chinese stock market data in the recent 30 years. Case studies and controlled user evaluation demonstrate the superiority of our system on factor investing, in comparison to both passive investing on stock indices and existing stock market visual analytics tools.

Exploring the Problems and Countermeasures in the Practice of Elderly Wisdom Sports Services in Anhui Province Based on Principal Component Analysis Methods

Abstract With the continuous progress and broad application of cutting-edge information technology such as big data, cloud computing, virtual reality and artificial intelligence, senior sports services has ushered in unprecedented development opportunities, especially the rise of senior intelligent sports services. In this study, we applied the principal component analysis method to conduct in-depth screening of evaluation indexes to assess the quality of the practice of senior intelligent sports services in Anhui Province. Through the comprehensive analysis of the eigenroots and the contribution ratio of variance, this paper successfully identified the key factors and realized the effective dimensionality reduction of the data. Meanwhile, we adopted the logistic equation to accurately estimate the relevant parameters. Through the comprehensive analysis of eigenroot and variance contribution ratio, this paper successfully identifies the key factors, realizes the effective dimensionality reduction of the data, and adopts the logistic equation to accurately estimate the relevant parameters. The analysis results show that in the senior intelligent sports service index system, the highest weight value of platform is the operation and management platform, which reaches 0.4754. In the aspect of the demand for sports information of the seniors, the demand for online sports knowledge and skills is the highest, and the demand for online sports knowledge and skills is the highest. Regarding the demand for sports information of the elderly, the online acquisition of sports knowledge and skills has the highest demand of 203, followed by the demand for regular online sports knowledge lectures of 181. In the demand for outdoor bright trails, the elderly strongly want to enter their fitness and energy consumption data for evaluation, with a high degree of demand of 351. In addition, the demand for heart rate testing of the intelligent body testing station is the highest, with a degree of 186, followed by body fat testing, with a degree of 179. The Research in this paper not only focuses on the current situation and problems of intelligent sports services for the elderly, but also explores the methods and strategies to solve these problems, aiming to provide practical reference and guidance for the effective implementation of intelligent sports services for the elderly.

A facile strategy for the construction of a phage display cyclic peptide library for the selection of functional macrocycles.

Cyclic peptides represent invaluable scaffolds in biological affinity, providing diverse collections for discovering functional molecules targeting challenging biological entities and protein-protein interactions. The field increasingly focuses on developing cyclization strategies and chemically modified combinatorial libraries in conjunction with M13 phage display, to identify macrocyclic peptide inhibitors for traditionally challenging targets. Here, we introduce a cyclization strategy utilizing ortho-phthalaldehyde (OPA) for the discovery of active macrocycles characterized by asymmetric scaffolds with side-chain cyclization. Through this approach, aldehyde groups attached to free molecules sequentially attack the ε-amine of lysine and the thiol of cysteine, facilitating the rapid cyclization of genetically encoded linear precursor libraries displayed on phage particles. The construction of a 109-member library and subsequent screening successfully identified cyclic peptide binders targeting three therapeutically relevant proteins: PTP1B, NEK7, and hKeap1. The results confirm the efficacy in rapidly obtaining active ligands with micromolar potency. This work provides a fast and efficient operable high-throughput platform for screening functional peptide macrocycles, which hold promise for broad application in therapeutics, chemically biological probes, and disease diagnosis.

ANALYSIS OF METHODS TO INCREASE QOE PARAMETERS FOR VIDEO STREAMING SERVICES

Video streaming services represent a new generation of television (DTV), which have become an integral part of modern digital culture. With the development of Internet technologies and the spread of broadband access, video streaming has become a popular and convenient way to consume multimedia content. Unlike traditional television, video streaming services provide the user with the ability to choose content, watch it at a convenient time and on different devices, which leads to new challenges and opportunities in improving the quality of user experience (QoE). One of the key elements that determine the quality of a video streaming service is the operator's transmission equipment and platform servers. These components provide content streaming over the Internet and affect such parameters as download speed, data stream stability and playback quality. Efficient management and optimization of the transmission equipment and servers can reduce latency, improve video quality and provide smoother streaming of content to end users. This research project aims to analyze methods for improving QoE parameters for video streaming services to better understand how technologies, algorithms and strategies can be applied to optimise the user experience in this new type of digital content. By considering factors such as video quality, adaptive streaming, traffic management, and many others, we aim to highlight key aspects that contribute to improving QoE and providing a more satisfactory user experience in video streaming services.

Usability Study to Promote Co-Creation Among People With Disabilities, Developers, and Makers With a Focus on the Assistive Technology Open Platform in Korea

Usability Study to Promote Co-Creation Among People With Disabilities, Developers, and Makers With a Focus on the Assistive Technology Open Platform in Korea

A study on integrated development approaches for bus stations based on cluster analysis

Integrated development of bus stations is proposed in response to the city’s priority development policy for public transportation. This approach aims to address the challenges of limited station land and increased financial pressure on bus operations by effectively utilizing urban land resources. Therefore, the selection of integrated development methods for bus stations becomes crucial. This study examines the characteristics of 36 bus station sites in Xi’an, considering both their intrinsic features and external environmental attributes. Using diverse data collection methods and analysis techniques, including Python, AcrGIS, and the Gaode Maps Open Platform, the research focuses on four dimensions: Points of Interest (POI), location characteristics, station attributes, and station connectivity features. By identifying 24 key clustering factors through Z-score standardization, Principal Component Analysis (PCA), elbow method, and K-means++ clustering, the 36 bus stations are categorized into five types: residential community development, commercial development, office building development, integrated development, and not recommended for development. These classification results provide guidance for future research on integrated development methods for bus stations.

Establish an Open Platform to Foster 6G Innovation and Research

Establish an Open Platform to Foster 6G Innovation and Research

Embedded open platform communications unified architecture server-based online error motion measurement system

Embedded open platform communications unified architecture server-based online error motion measurement system

Implementation and validation of the CubicDEL open platform into the basic equation

Implementation and validation of the CubicDEL open platform into the basic equation

An open platform for visual stimulation of insects.

To study how the nervous system processes visual information, experimenters must record neural activity while delivering visual stimuli in a controlled fashion. In animals with a nearly panoramic field of view, such as flies, precise stimulation of the entire visual field is challenging. We describe a projector-based device for stimulation of the insect visual system under a microscope. The device is based on a bowl-shaped screen that provides a wide and nearly distortion-free field of view. It is compact, cheap, easy to assemble, and easy to operate using the included open-source software for stimulus generation. We validate the virtual reality system technically and demonstrate its capabilities in a series of experiments at two levels: the cellular, by measuring the membrane potential responses of visual interneurons; and the organismal, by recording optomotor and fixation behavior of Drosophila melanogaster in tethered flight. Our experiments reveal the importance of stimulating the visual system of an insect with a wide field of view, and we provide a simple solution to do so.

Competition in the Gaming Industry: Blizzard’s Strategic Layout, Risks, and Prospect

With the growing digital economy and the impact of the Covid-19 pandemic in the past two years, video games have become the mainstream entertainment for general public. Some game companies have chosen acquisitions over the past few years to expand their market share and enhance their competitiveness, but acquisitions come with many risks. This paper analyses the strategic intentions and risks of Microsoft’s acquisition of Activision Blizzard, and puts forward forward-looking suggestions based on the concept of metacomes. It is believed that the meta-universe is the core of the future of the game industry, and Microsoft’s acquisition of Activision Blizzard helps it occupy a strategic commanding height in the meta-universe field, but it needs to pay attention to antitrust risks and cultural integration problems. To this end, it can be suggested that Microsoft should strengthen cultural management and regulatory responsibility, open platform cooperation, and strengthen meta-cosmic technology research and innovation.

DESignSolvents: an open platform for the search and prediction of the physicochemical properties of deep eutectic solvents

A web-resource, DESignSolvents, to provide users worldwide with the database of DES properties and the corresponding prediction models.

Research on the Behavior and Nature of BTS Weibo Fan Community

The rise of social media has broken the geographical and communicative boundaries between fans, providing them with a more open platform to express themselves and pursue a shared spiritual resonance. This research focuses on the dynamics and psychological foundations of the BTS Weibo fan community to explore the emotional investment, community connections, and identity construction that arise from the excessive admiration and pursuit of a particular subject, whether virtually or in reality, in the social media era. Based on grounded theory, this research collects data generated by specific fan groups, including their content, interactions, and narratives, and iteratively analyzes and summarizes this data. The study identifies key characteristics of BTS Weibo fan behavior, such as sense of community, exclusivity and gift economy. These findings lay the foundation for further research on the evolving behaviors and motivations of fans, contributing to a broader discussion on media consumption, fan culture, and the psychological impact of online communities.

University online teaching resource sharing open platform based on deep learning

University online teaching resource sharing open platform based on deep learning

University online teaching resource sharing open platform based on deep learning

University online teaching resource sharing open platform based on deep learning

Exploration of Responsibility Determination for E-Commerce Platform Operators Violating Security Obligations

Exploration of Responsibility Determination for E-Commerce Platform Operators Violating Security Obligations

Long-COVID symptom monitoring: Insights from a two-year telemedicine study.

The diverse manifestations of Long-COVID have become increasingly important due to their significant impact on patients' lives. Telemedicine has emerged as an important tool for post COVID-19 follow-up. This study is part of a large cohort study involving COVID-positive patients monitored by the COD19 telemedicine platform operations center. We recontacted patients who were initially monitored from February 2020 to May 2020 to assess the presence of Long-COVID symptoms at a 2-year follow-up. We conducted interviews to evaluate Long-COVID symptoms at the 2-year mark and investigated whether patients had contracted a second COVID-19 infection between the 1-year and 2-year follow-ups, and recorded their vaccination status. Out of 165 patients, 139 (84%) reported symptoms at the 1-year follow-up, while only 101 (61%) reported symptoms at the 2-year follow-up. Among patients with Long-COVID symptoms at the 2-year follow-up, the majority (80, 49%) had experienced Long-COVID at the 1-year follow-up, received the SARS-CoV-2 vaccine, and had not experienced a second infection between the two follow-ups. Both having Long-COVID at the 1-year follow-up and contracting a second infection were significant risk factors for presenting with Long-COVID at the 2-year follow-up. To the best of our knowledge, this study stands out as one of the few that includes a 2-year follow-up on Long-COVID symptoms using telemedicine. Telemedicine has proven to be an effective and innovative tool for long-term patient monitoring, early diagnosis, and treatment. Telemedicine represents a significant future challenge for healthcare.

电子商务平台经营者“相应的责任”的法律性质

电子商务平台经营者“相应的责任”的法律性质

Research on Marketing Communication Strategy of Soft Advertising in Xiaohongshu APP

With the rapid development of the Internet, the role and effect of online sales are constantly emerging. In this process, advertising marketing is an indispensable and important part. However, traditional hard advertisements do not show advantages in this online competition, while soft advertisements show irreplaceable marketing advantages. In order to promote the development of soft advertising and provide more efficient advertising methods for more e-commerce companies, this article will take Xiaohongshu as a case to analyze in detail the application strategy, advantages and disadvantages of soft advertising in the platform. Through case analysis, bibliography method and comparative analysis, this passage finds that Xiaohongshu suffers from flooding of brand soft ads, low flow of brand soft ads, KOL’s selection risk and serious content homogeneity. In order to solve these problems, Xiaoshongshu is supposed to create explosive notes, improve flow, choose the right KOL, strengthen the supervision mechanism and optimize the content of soft ads. Through these studies, it is able to enrich the content of soft advertisements and improve their communication efficiency, promote platform operations, help merchants obtain higher profits, and provide business models for other cases.