Design Of Platform Research Articles

Why do we invest online? An empirical study of online crowdfunding in China

Purpose The emergence of crowdfunding has provided a new way to solve the problem of financing difficulties for start-ups. Although crowdfunding has attracted great attention from the government and industry, investors are still hesitating to invest online. This paper aims to investigate the investment behavior of China’s debt-based internet crowdfunding market and construct a model to explain online investment decisions from the perspectives of trust and economic valence. Design/methodology/approach This paper uses the survey method to verify the research model. The questionnaire was constructed based on the items in prior studies. The data were collected from users with project investment experience on a leading crowdfunding platform in China. A total of 474 valid responses were collected. Partial least squares-structural equation modeling was used in the data analysis. Findings This paper finds that initial trust and perceived benefits are the key factors influencing investment intentions; investors are more concerned about potential benefits than about risk; perceived benefits partially mediate the relationship between initial trust and investment intentions. Fundraisers’ reputation is also found to have a greater impact on investors’ initial trust than investors’ trust propensity. Originality/value The conclusions of this paper provide important insights into the design of internet crowdfunding platforms and the regulation of policymakers.

Application of computer information technology in food quality safety and detection

Nowadays, food safety problems have occurred frequently, and how to ensure food quality safety has become the focus of attention of the whole world. While computer information technology has become a necessary means to control food quality safety along with the continuous improvement of information degree. Computer information technology is the general term mainly used for the management and processing of information, including acquisition, processing, expression, communication, management and evaluation of information. In this paper, the application of computer information technology applied in food industry at home and abroad was mainly summarized, including query and retrieval related information of food science, stimulation of the production process to effectively control the potential risk factors, fast calculation in the process of food production and consumption, network platform design of sensory evaluation instead of complex manual work, and realization the whole process of full traceability for food industrial chain, so as to provide effective supervision channels for the government, establish food industrial traceability system, improve the information degree in food management and play the role of information technology in food safety management and realize the value.

Product platform design for minimum cost in mass customization manufacturing environment

Abstract Nowadays manufacturers are facing several challenges to compete in the marketplace. One of the main challenges can be described by the need to offer a range of products and categories in addition to shortening the time during which the product is brought to the customer while maintaining low costs to achieve maximum profitability. Several approaches emerged during the past couple of decades that enabled designers and manufacturers to offer the product variety within a product family on one hand and allowing flexibility and responsiveness at the manufacturer’s side on the other hand. This study addressed the problem of product platform design with the objective of minimizing the manufacturing costs incurred in the platform manufacturing phase and the mass customization phase. A genetic algorithm model that minimizes the total manufacturing cost is developed where optimum product platform design is determined. The developed model is used to study the effect of demand proportion of different product variants within a product family on the platform design and the total manufacturing cost.

Design and Development of Oilfield Exploration and Development Data Exchange Management Platform

Design and Development of Oilfield Exploration and Development Data Exchange Management Platform

Design of On-line Monitoring and Fault Diagnosis Platform for Oil-immersed Shunt Reactor

Abstract With the development of society and technology, the demand for power supply and reliability is increasing. In the power system, the reactor plays an important role as a key equipment. However, due to long-term operation, the reactor is affected by factors such as loss, aging and hidden faults, and its reliability gradually decreases. The operation state of the reactor is directly related to the operation effect of the power grid and the quality of the user’s electricity. Therefore, the application of reactor online monitoring and fault diagnosis in real life is very important. This paper considers the actual operation of the coastal power grid. Based on Qt software development platform, C + + language and MySQL database, an online monitoring and fault diagnosis platform for oil-immersed shunt reactors is developed. The application of the platform takes the online monitoring and fault diagnosis method of dissolved gas in oil as the core. The platform realizes the basic information management, online monitoring, fault diagnosis and suggestions for operation and maintenance of the reactor.

Configuration design of movable heavy-duty reconfigurable posture adjustment platform with dual motion modes

AbstractThe existing single-mode posture adjustment equipment for solar wing docking is only suitable for a limited number of satellite dimensions; it could not meet the diverse development trends of satellite models. The working range requirements are different when different-sized satellites dock with the solar wing, and the docking process is divided into two stages in this paper. While the DOFs required for the two stages are different, a movable heavy-load reconfigurable redundant posture adjustment platform (RrPAP) with dual motion modes is proposed in this paper. The RrPAP consists of a wheeled mobile platform and a reconfigurable parallel posture adjustment mechanism (PAM). The micro-motion PAM limb types are synthesized, and the comprehensive load-bearing index is proposed to select the mechanism types for heavy-load conditions. A decentralized four-limb six-degree-of-freedom (6-DOF) parallel micro-motion PAM is designed. In the macro-motion stage, for the PAM to still have a defined motion after being released from ground constraints, a serial coupling sub-chain is designed between adjacent limbs to restrict relative movement between them. A type synthesis method for symmetrically coupled mechanisms based on mechanism decoupling and motion distribution is proposed. Four types of symmetrically coupled mechanisms with multi-loop consisting of serial coupling sub-chains are synthesized by using this method. The feasibility of the proposed method is demonstrated through an example using the constraint synthesis method based on screw theory. This work provides a foundation for subsequent refinement and expansion of type synthesis theories and the selection of new types of mechanisms.

Autonomous Vision-Based Navigation and Stability Augmentation Control of a Biomimetic Robotic Hammerhead Shark

The application potential of robotic fish embedded with intelligent visual navigation algorithms in underwater autonomous operation is on full display recently. However, the existing visual navigation methods are limited by the underwater visual conditions and the motion characteristics of robotic fish. To this end, this paper proposes a novel autonomous navigation framework integrated with visual stabilization control. In practice, a stereo vision-based navigation network is proposed to generate the guidance law. On this basis, a biomimetic robotic hammerhead shark with a controllable cephalofoil is developed, and a nonlinear model predictive controller for cephalofoil stabilization relying on the dynamic model is elaborately designed. Extensive simulations and underwater experiments are conducted to validate the effectiveness and superiority of the proposed methods, which significantly enhance exploration efficiency and reduce image jitter by 26.02% compared to the traditional methods. The obtained results provide a new idea for underwater robots to autonomously explore the ocean. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Note to Practitioners</i> —This paper is motivated by the problem of vision-based underwater autonomous navigation for a biomimetic robotic fish that possesses underwater visual stability and good maneuverability. The existing visual navigation networks usually generate unexpected navigation instructions when dealing with complex or ambiguous underwater scenes. Additionally, image jitter caused by the rhythmic motion of robotic fish can lead to navigation failure. This paper suggests an integrated navigation framework that includes a biomimetic platform design, a visual stabilization controller, and an intelligent underwater navigation network. Specifically, a novel sphyrnidae-inspired robotic shark is designed as a new platform with superior motion performance. To enhance underwater visual stability, a nonlinear model predictive control-based visual stabilization controller is proposed. Furthermore, a deep stereo attention navigation network based on a parallax attention mechanism is proposed to improve the generalization of vision-based autonomous navigation. A series of underwater search experiments on the robotic shark demonstrate the effectiveness and superiority of the proposed navigation framework. Hopefully, our proposed methods can provide valuable guidance and support for universal underwater robot navigation to accomplish practical marine tasks, such as underwater rescue, resource exploitation, biological observation, and so on.

A Bayesian latent-subgroup platform design for dose optimization.

The US Food and Drug Administration launched Project Optimus to reform the dose optimization and dose selection paradigm in oncology drug development, calling for the paradigm shift from finding the maximum tolerated dose to the identification of optimal biological dose (OBD). Motivated by a real-world drug development program, we propose a master-protocol-based platform trial design to simultaneously identify OBDs of a new drug, combined with standards of care or other novel agents, in multiple indications. We propose a Bayesian latent subgroup model to accommodate the treatment heterogeneity across indications, and employ Bayesian hierarchical models to borrow information within subgroups. At each interim analysis, we update the subgroup membership and dose-toxicity and -efficacy estimates, as well as the estimate of the utility for risk-benefit tradeoff, based on the observed data across treatment arms to inform the arm-specific decision of dose escalation and de-escalation and identify the OBD for each arm of a combination partner and an indication. The simulation study shows that the proposed design has desirable operating characteristics, providing a highly flexible and efficient way for dose optimization. The design has great potential to shorten the drug development timeline, save costs by reducing overlapping infrastructure, and speed up regulatory approval.

Big data application simulation platform design for onboard distributed processing of LEO mega-constellation networks

Big data application simulation platform design for onboard distributed processing of LEO mega-constellation networks

Enhancing The Digital Ecosystem and Empowering Community Businesses In Pedurungan Lor Through The Productive Waqf-Based SIWAP

Based on the evaluation of the situation, there are several main problems that require priority handling in the effort to empower the novice community. These problems include limitations in capital, lack of integrated information, promotion, sales, and financial management systems, and lack of knowledge of the potential and challenges faced by Pedurungan Lor Village, Pedurungan District, Semarang. To overcome these challenges, the main objective of the startup community empowerment is to initiate a Productive waqf-based crowdfunding called SIWAP, with the aim of providing access to capital to goat farming groups, tourism village management, and product development from creative business groups in Pedurungan Lor Village. SIWAP will function as a tourism marketplace that not only provides a platform for promotion and sales, but also offers integrated solutions for financial management. The goals of the program include increased capital, turnover, and net profit of the business groups, publication through electronic media and national journals, and video documentation of activities. Additional expected outcomes include the establishment of SIWAP crowdfunding and intellectual property rights protection. The activity plan will include a survey of partner locations, design and creation of the SIWAP crowdfunding platform, training for system users, technology implementation, and regular mentoring and monitoring of the use of the SIWAP system by business groups in Pedurungan Lor Village, Pedurungan District, Semarang.

Design of Digital Twin Platform for Hypertube Core Facilities

Design of Digital Twin Platform for Hypertube Core Facilities

A Study on Mobile Service Design of Domestic Vertical OTT Platforms: Focused on Content Provision

A Study on Mobile Service Design of Domestic Vertical OTT Platforms: Focused on Content Provision

Analyzing the Nexus of Institutional and Individual Factors on Students' Willingness for Online Learning among Universities Students

The reasons why students choose online learning at educational institutions are investigated in this qualitative and inductive study. The researchers used a triangulation strategy that comprised documentation, participant observation, and semi-structured interviews with undergraduate and graduate students from three different universities to guarantee the results were accurate and reliable. By examining the information gathered from various techniques, the research aims to provide insightful insights into the decision-making process of students who choose to learn online. Grounded theory was used in our study to manually examine the data and create three categories: empirical themes, theoretical concepts and theoretical dimensions. Our research looked at the aspects that contribute to the climate of online learning and how they affect students' desire to utilize it. One of our most important findings was that both institutional and individual variables affect students' willingness to utilize online learning. In addition, online learning has been important, individual factors that are computer anxiety, student engagement and subjective norms becoming important factors to influence student’s willingness. Students understand themselves as having benefitted from online learning and they believe this benefit extending beyond their students lives. Respondents were in view that online learning has certain boundaries so students develop their competencies and avoid challenges that would prevent them from using online learning like computer anxiety. Furthermore, the impact of online learning is not only predicated upon the students' willingness to take an active role, but also greatly affected by institutional factors. These factors include the attributes of the system, including the level of design and user-friendliness of the online platform, as well as the technical and equipment readiness of the institution.

Antidiabetic Potency of Flavonoids Using a Systematic Computer-Aided Drug Design Platform

Antidiabetic Potency of Flavonoids Using a Systematic Computer-Aided Drug Design Platform

온라인 디자인 플랫폼 분쟁 사례분석 및 실무적 대응 방안에 관한 연구

Purpose: This paper proposes measures for protecting designers' intellectual property rights in response to the growth of online design platforms. Research design, data, and methodology: This study analyzed the dispute cases involving online design platforms and proposed practical measures for designers and platform operators to address these issues effectively. Results: This study suggests that online platform operators can enhance their credibility by fostering collaboration with creators. Moreover, it emphasizes the need to develop internal monitoring systems and encourage third-party reporting of infringers and counterfeit products, accompanied by a compensation system. In addition, it proposes enhancing educational efforts to prevent infringement and institutionalizing stringent measures, such as permanently banning infringers from the platform. Finally, the study advocates for expanding online arbitration to ensure the swift resolution of disputes. Conclusions: This study contributes to the protection of designers' intellectual property rights, defines the scope of responsibility for platform operators, and ultimately promotes the growth of the digital design industry.

Design and Evaluation of a Web Platform for Connecting Instructors and Practitioners – Instructors’ Perspective

ABSTRACT Collaboration between instructors and practitioners is crucial for preparing the future workforce. By applying connectivism learning theory (CLT) and leveraging the affordances of information technology (IT) through Web 2.0, this paper introduces ConPEC, a web platform designed to bridge the gap between instructors and practitioners in the construction industry. This paper presents the design and user evaluation of ConPEC as guided by design principles and heuristics to ensure optimal usability and acceptance by end-users. Twenty (20) instructors in construction-related academic programs who are potential end-users were recruited for evaluation by interacting with ConPEC in a real-case scenario. Both objective and subjective measures were adopted to assess ConPEC’s usability, instructors’ perception, and their intention to use ConPEC. The results reveal the potential of ConPEC to enhance academic pedagogy by providing instructors with improved access to practitioners and fostering a blend of theory and practical knowledge required by the industry. The results also demonstrate the efficacy of the adopted method in developing information systems because users perceived ConPEC as useful, user-friendly, and likely to be adopted. This study highlights the application of CLT and IT to address skill disparities and align students with industry expectations, serving as a reference for similar initiatives.

Attention wars, psychopower and platform environments: An autoethnographic study on BeReal

The last two decades have seen an attention war play out between digital platforms, with social media as the main battleground. This has led to the development of techniques such as the hook model to capture users' attention and subconsciously direct their behaviour towards private ends. Bernard Stiegler has called this new form of governance “psychopower”. Drawing on autoethnographic research, this paper presents an analysis of the social media platform BeReal, focusing on the role of the platform's environment design in capturing users' attention. Our findings show that the platform succeeds in holding users' attention through nudges and habit formation. We also found a strong link between attention capture, emotional exchange and the experience of affects.

The Impact of Storyboard That Media on Students' Critical Thinking Skills in Social Sciences Subjects in Elementary Schools

In the current era of digital technology development, free-access design platforms can be used in education as an alternative technology-based learning medium. Researchers found that in elementary schools, social studies learning still used conventional methods such as lectures and very rarely used instructional media, so students were bored while studying. Therefore, this study aimed to analyze the effect of using Storyboard That media on students' critical thinking skills on the material of the Proclamation of Independence. This study used the Storyboard That website along with 5 essay questions with a cognitive level of C4-C6 (analyze, evaluate, create). This research is a Quasi-Experimental with Non-equivalent Control Group Design. The number of samples consisted of class VI A totaling 22 students as the control class and class VI B totaling 22 students as the experimental class. Data analysis techniques consisted of prerequisite tests of normality and homogeneity tests and Independent Sample T-tests. The Independent Sample T-test data results on the pretest data were 0.539 &gt; 0.05 and the post-test. (2-tailed) of 0.000 &lt;0.05. So, it can be concluded that there were significant differences in students' critical thinking skills between the experimental group that used Storyboard That media and the control class that only used conventional lecturing methods. It is proven that Storyboard That encourages students to think critically through various visualization stimuli. This implementation allows teachers to use it as appropriate social studies learning media to improve elementary school students' critical thinking skills.

Switching-mode audio amplifier based on a ΔΣ A/D converter

The article describes the design and implementation of a modular hardware platform intended for testing and measuring various configurations of switching-mode audio amplifiers based on sigma-delta modulation. Two single-channel power amplifier modules were designed and manufactured, along with a stereophonic module serving as the basic source of modulated signals. Additionally, measurements were conducted on the fundamental parameters of the completed amplifier, such as harmonic distortion level, dynamic range, and output power. The developed platform serves as a foundation for modifications and further advancement in the technology of building switching-mode audio amplifiers.

The Chromenopyridine Scaffold: A Privileged Platform in Drug Design.

The chromenopyridine scaffold represents an important class of heterocyclic compounds exhibiting a broad spectrum of biological properties. This review describes novel and efficient procedures for the synthesis of this scaffold. Herein, several methods were detailed and grouped according to their starting material (e.g., salicylaldehydes, chromones, chromanones and coumarins) and respective biological activity, when reported. This review highlights the potential of the reported synthetic strategies for preparing chromenopyridine derivatives with promising biological activity, paving the way for further developments in drug discovery.