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Your search keyword '"Chang, Che-Cheng"' showing total 144 results
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144 results on '"Chang, Che-Cheng"'

2. Prevalence and Risk Factors of Zoonotic Dermatophyte Infection in Pet Rabbits in Northern Taiwan.

Author

Chang, Che-Cheng, Wechtaisong, Wittawat, Chen, Shih-Yu, Cheng, Ming-Chu, Chung, Cheng-Shu, Lin, Lee-Shuan, Lien, Yi-Yang, and Tsai, Yi-Lun

Subjects
Microsporum canis, Taiwan, Trichophyton mentagrophytes complex, dermatophytes, pet rabbits, risk factors
Abstract

Dermatophytes are the group of keratinophilic fungi that cause superficial cutaneous infection, which traditionally belong to the genera Trichophyton, Microsporum, and Epidermophyton. Dermatophyte infection is not only a threat to the health of small animals, but also an important zoonotic and public health issue because of the potential transmission from animals to humans. Rabbit dermatophytosis is often clinically identified; however, limited information was found in Asia. The aims of this study are to investigate the prevalence and to evaluate the risk factors of dermatophytosis in pet rabbits in Northern Taiwan. Between March 2016 and October 2018, dander samples of pet rabbits were collected for fungal infection examination by Woods lamp, microscopic examination (KOH preparation), fungal culture, and PCR assay (molecular identification). Z test and Fishers exact test were performed to evaluate the potential risk factors, and logistic regression analysis was then performed to build the model of risk factors related to dermatophyte infection. Of the collected 250 dander samples of pet rabbits, 29 (11.6%) samples were positive for dermatophytes by molecular identification. In those samples, 28 samples were identified as the T. mentagrophytes complex and 1 sample was identified as M. canis. Based on the results of the Firths bias reduction logistic analyses, animal source (rabbits purchased from pet shops) and number of rearing rabbits (three rabbits or more) were shown as the main risks for dermatophyte infection in the pet rabbits in Taiwan. The results of the present study elucidate the prevalence of rabbit dermatophyte infection, pathogens, and risk factors in Taiwan, and provide an important reference for the prevention and control of rabbit dermatophytosis.

Published
2022

3. The first successful land-based larviculture of narrow-barred Spanish mackerel (Scomberomorus commerson) and the assessment of optimal water conditions for larval survival using response surface methodology

Author

Chiu, Pei-Sheng, primary, Chu, Yeong-Torng, additional, Lee, Yen-Hong, additional, Chang, Ting-Jeng, additional, Chang, Che-Cheng, additional, Hseu, Jinn-Rong, additional, He, Jia-Sin, additional, Weng, Jinn-Shing, additional, and Wu, Feng-Cheng, additional

Published
2024
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6. Importing Diffusion and Re-Designed Backward Process for Image De-Raining.

Author

Lin, Jhe-Wei, Lee, Cheng-Hsuan, Su, Tang-Wei, and Chang, Che-Cheng

Subjects
IMAGE processing, FEATURE extraction, IMAGE reconstruction, RESEARCH personnel
Abstract

In recent years, with the increasing demand for high-quality images in various fields, more and more attention has been focused on noise removal techniques for image processing. The effective elimination of unwanted noise plays a crucial role in improving image quality. To meet this challenge, many noise removal methods have been proposed, among which the diffusion model has become one of the focuses of many researchers. In order to make the restored image closer to the real image and retain more features of the image, this paper proposes a DIR-SDE method with reference to the diffusion models of IR-SDE and IDM, which improve the feature retention of the image in the de-raining process, and then improve the realism of the image for the image de-raining task. In this study, IR-SDE was used as the base structure of the diffusion model, IR-SDE was improved, and DINO-ViT was combined to enhance the image features. During the diffusion process, the image features were extracted using DINO-ViT, and these features were fused with the original images to enhance the learning effect of the model. The model was also trained and validated with the Rain100H dataset. Compared with the IR-SDE method, it improved 0.003 in the SSIM, 0.003 in the LPIPS, and 1.23 in the FID. The experimental results show that the diffusion model proposed in this study can effectively improve the image restoration performance. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Design and Topology Optimisation of Tissue Scaffolds

Author

Chang, Che-Cheng Bryant

Subjects
Isosurface Modelling, Tissue Scaffold, Topology Optimisation, Fractal
Abstract

Tissue restoration by tissue scaffolding is an emerging technique with many potential applications. While it is well-known that the structural properties of tissue scaffolds play a critical role in cell regrowth, it is usually unclear how optimal tissue regeneration can be achieved. This thesis hereby presents a computational investigation of tissue scaffold design and optimisation. This study proposes an isosurface-based characterisation and optimisation technique for the design of microscopic architecture, and a porosity-based approach for the design of macroscopic structure. The goal of this study is to physically define the optimal tissue scaffold construct, and to establish any link between cell viability and scaffold architecture. Single-objective and multi-objective topology optimisation was conducted at both microscopic and macroscopic scales to determine the ideal scaffold design. A high quality isosurface modelling technique was formulated and automated to define the microstructure in stereolithography format. Periodic structures with maximised permeability, and theoretically maximum diffusivity and bulk modulus were found using a modified level set method. Microstructures with specific effective diffusivity were also created by means of inverse homogenisation. Cell viability simulation was subsequently conducted to show that the optimised microstructures offered a more viable environment than those with random microstructure. The cell proliferation outcome in terms of cell number and survival rate was also improved through the optimisation of the macroscopic porosity profile. Additionally artificial vascular systems were created and optimised to enhance diffusive nutrient transport. The formation of vasculature in the optimisation process suggests that natural vascular systems acquire their fractal shapes through self-optimisation.

Published
2015

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