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Dental implants have been extensively utilized on edentulous patients for many years. The fatigue life of dental implants is critical for them being approved to use in human body because they are within the area of biomedicine. To perform a preliminary investigation of fatigue life of dental implants, this article reports a method of fatigue life estimation based on the combination of computer simulation and limited test data. The method is developed based on a probabilistic form of fatigue life given according to the properties of material fatigue strength. The procedure is carried out by shifting of the regression line (representing the fatigue–life curve) to the desired value of the probability of occurrence. Computer simulation includes both stress analysis and life estimation which are done using the ANSYS software. This estimation model offers a method for fatigue life evaluation and yields the life distribution in respect to the scatter of the cyclic properties of dental implants. Furthermore, the reliability of lifetime is calculated based on the probabilistic form. The purposes of this study are to predict fatigue life using a small amount of testing data and to provide a risk assessment for dental implants in use.

This paper summarizes the opinions of experts who participated in designing the environment of a children's hospital and reports the results of a questionnaire survey conducted among hospital users. The grounded theory method was adopted to analyze 292 concepts, 79 open codes, 25 axial codes, and 4 selective codes; in addition, confirmatory factor analysis and reliability analysis were performed to identify elements for designing a healing environment in a children's hospital, and 21 elements from 4 dimensions, namely, emotions, space design, interpersonal interaction, and pleasant surroundings, were determined. Subsequently, this study examined the perceptions of 401 children at National Taiwan University Children's Hospital. The results revealed that, regarding the children's responses to the four dimensions and their overall perception, younger children accepted the healing environment to a significantly higher degree than did older children. The sex effect was significant for the space design dimension, and it was not significant for the other dimensions.

The market scale of electric shavers in China has reached ¥ 26.3 billion in 2021. Consumers currently place an increasing emphasis on the Kansei image conveyed by products rather than just concerning with functional satisfaction. To meet consumers’ expectations, the emotional message conveyed by product design is essential under multisensory channels. This research first collected 230 electric shavers samples and 135 pairs of consumers’ Kansei words, then reduced them into 34 representative samples using multidimensional scale and clustering analysis, with 4 groups of representative Kansei words selected via the expert group. Moreover, consumers’ Kansei images were evaluated via questionnaire using the semantic differential scales, with 416 valid samples acquired in total. Meanwhile, design elements of the samples (including item and category) were classified by ways of morphological analysis and audio software. At last, the prediction models of the electric shavers were established between the overall design elements and user’s Kansei evaluation under the multisensory channel of visual model and auditory audio taking advantage of Quantification Theory Type I , back propagation neural network, and genetic algorithm-based BPNN. The proposed models can provide defined design indexes and references in multisensory design, facilitating designers to design in a logical and scientific manner rather than designing as per experience.