Impact of Informativeness and Social Cues of Medical Crowdfunding Projects on Cognitive Trust and Willingness to Donate

With the rapid development of the Internet and mobile payments, medical crowdfunding is becoming more and more popular. However, the success rate of crowdfunding projects is low, and many patients are unable to raise the money they need to pay for their medical treatment in a timely manner, so how to increase user donation Willingness is a worthwhile research problem. In this paper, from the perspective of website interface design, we take project informativeness as the central route and social cues as the peripheral route to create a research model based on the Elaboration Likelihood Model (ELM). Around this model we explore how different website design factors on healthcare crowdfunding platforms affect users\u27 perceived trust in the platform and project , which in turn influenced users\u27 willingness to donate. Laboratory experiments were used to obtain data and the data were analyzed by SPSS24.0 and AMOS23.0 software. The results showed that the richer the project informativeness and the presence of social cues positively influenced potential donors\u27 intention to donate,and cognitive trust has a mediating effect on the relationship between them. The results of this study are instructive for fundraisers to conduct efficient fundraising campaigns and for medical crowdfunding platform managers to better manage platforms

The Impact of Beneficiary Facial Expressions on Donation Intention in Medical Crowdfunding

In recent years, medical crowdfunding has become an emerging and effective way to raise funds for patients with severe illness and their families, and has solved huge economic problems for many families. This study studies the information expression of medical crowdfunding projects. This study combines the S-O-R model, considered the model of altruistic and egoistic motives for helping, adopted laboratory research methods, studied the effect of the facial expressions of beneficiary on individual donate intention. The results showed that individual altruism and guilt can positively influence individual donate intention. The facial expressions of beneficiaries affected both egoistic motivation and altruism motivation at the same time, and there were significant differences in the two types of motivation. In addition, research has found that individual guilt has a moderating effect on altruism. This study enriched the research of the SOR model and the altruistic and self-interest motivation model in the context of medical crowdfunding, at the same time studied the impact of facial expressions on personal motivation to provide recommendations for medical crowdfunding content writing

Quantum oscillations in adsorption energetics of atomic oxygen on Pb(111) ultrathin films: A density-functional theory study

Using first-principles calculations, we have systematically studied the quantum size effects of ultrathin Pb(111) films on the adsorption energies and diffusion energy barriers of oxygen atoms. For the on-surface adsorption of oxygen atoms at different coverages, all the adsorption energies are found to show bilayer oscillation behaviors. It is also found that the work function of Pb(111) films still keeps the bilayer-oscillation behavior after the adsorption of oxygen atoms, with the values being enlarged by 2.10 to 2.62 eV. For the diffusion and penetration of the adsorbed oxygen atoms, it is found that the most energetically favored paths are the same on different Pb(111) films. And because of the modulation of quantum size effects, the corresponding energy barriers are all oscillating with a bilayer period on different Pb(111) films. Our studies indicate that the quantum size effect in ultrathin metal films can modulate a lot of processes during surface oxidation

Convolutional Sequence to Sequence Non-intrusive Load Monitoring

A convolutional sequence to sequence non-intrusive load monitoring model is proposed in this paper. Gated linear unit convolutional layers are used to extract information from the sequences of aggregate electricity consumption. Residual blocks are also introduced to refine the output of the neural network. The partially overlapped output sequences of the network are averaged to produce the final output of the model. We apply the proposed model to the REDD dataset and compare it with the convolutional sequence to point model in the literature. Results show that the proposed model is able to give satisfactory disaggregation performance for appliances with varied characteristics.Comment: This paper is submitted to IET-The Journal of Engineerin

TwinTex: Geometry-aware Texture Generation for Abstracted 3D Architectural Models

Coarse architectural models are often generated at scales ranging from individual buildings to scenes for downstream applications such as Digital Twin City, Metaverse, LODs, etc. Such piece-wise planar models can be abstracted as twins from 3D dense reconstructions. However, these models typically lack realistic texture relative to the real building or scene, making them unsuitable for vivid display or direct reference. In this paper, we present TwinTex, the first automatic texture mapping framework to generate a photo-realistic texture for a piece-wise planar proxy. Our method addresses most challenges occurring in such twin texture generation. Specifically, for each primitive plane, we first select a small set of photos with greedy heuristics considering photometric quality, perspective quality and facade texture completeness. Then, different levels of line features (LoLs) are extracted from the set of selected photos to generate guidance for later steps. With LoLs, we employ optimization algorithms to align texture with geometry from local to global. Finally, we fine-tune a diffusion model with a multi-mask initialization component and a new dataset to inpaint the missing region. Experimental results on many buildings, indoor scenes and man-made objects of varying complexity demonstrate the generalization ability of our algorithm. Our approach surpasses state-of-the-art texture mapping methods in terms of high-fidelity quality and reaches a human-expert production level with much less effort. Project page: https://vcc.tech/research/2023/TwinTex.Comment: Accepted to SIGGRAPH ASIA 202

Soft-bodied adaptive multimodal locomotion strategies in fluid-filled confined spaces

Soft-bodied locomotion in fluid-filled confined spaces is critical for future wireless medical robots operating inside vessels, tubes, channels, and cavities of the human body, which are filled with stagnant or flowing biological fluids. However, the active soft-bodied locomotion is challenging to achieve when the robot size is comparable with the cross-sectional dimension of these confined spaces. Here, we propose various control and performance enhancement strategies to let the sheet-shaped soft millirobots achieve multimodal locomotion, including rolling, undulatory crawling, undulatory swimming, and helical surface crawling depending on different fluid-filled confined environments. With these locomotion modes, the sheet-shaped soft robot can navigate through straight or bent gaps with varying sizes, tortuous channels, and tubes with a flowing fluid inside. Such soft robot design along with its control and performance enhancement strategies are promising to be applied in future wireless soft medical robots inside various fluid-filled tight regions of the human body

Bioinspired cilia arrays with programmable nonreciprocal motion and metachronal coordination

Coordinated nonreciprocal dynamics in biological cilia is essential to many living systems, where the emergentmetachronal waves of cilia have been hypothesized to enhance net fluid flows at low Reynolds numbers (Re). Experimental investigation of this hypothesis is critical but remains challenging. Here, we report soft miniature devices with both ciliary nonreciprocal motion and metachronal coordination and use them to investigate the quantitative relationship between metachronal coordination and the induced fluid flow. We found that only antiplectic metachronal waves with specific wave vectors could enhance fluid flows compared with the synchronized case. These findings further enable various bioinspired cilia arrays with unique functionalities of pumping and mixing viscous synthetic and biological complex fluids at low Re. Our design method and developed soft miniature devices provide unprecedented opportunities for studying ciliary biomechanics and creating cilia-inspired wireless microfluidic pumping, object manipulation and lab- and organ-on-a-chip devices, mobile microrobots, and bioengineering systems.ISSN:2375-254