Dynamic Protein Adsorption-Desorption Analysis of Contact Lenses in a Three-Dimensional-Printed Eye Model

Wan-Hsin Chang,Pei-Yi Liu,Dai-En Lin,Yuan-Ting Jiang,Chien-Ju Lu,Yuan-Hao Howard Hsu 한국고분자학회 2022 Macromolecular Research Vol.30 No.1

Adsorption of secreted protein on contact lenses is a dynamic and complex behavior. To understand this behavior, we used three-dimensional (3D) printing technology to create an eye model that simulated the anterior segment of the actual human eyeball. In this model, the fluid inlet was connected to a syringe pump to mimic the rate of human tear secretion and the outlet was connected to an ultraviolet- visible (UV-Vis) spectrophotometer. The experimental results revealed that the symmetrical eye model with a 180° inlet-outlet angle was suitable for dynamic analysis of protein adsorption. In this model, protein adsorption was slow and desorption was rapid. The contact lens was soaked in poly(2-methacryloyloxyethyl phosphorylcholine- co-butyl methacrylate) (PMB) to confirm the anti-protein adsorption property of this polymer through dynamic adsorption and desorption eye model analysis.

Reduction of Physical Strength and Enhancement of Anti-Protein and Anti-Lipid Adsorption Abilities of Contact Lenses by Adding 2-Methacryloyloxyethyl Phosphorylcholine

Wan-Hsin Chang,Pei-Yi Liu,Chien-Ju Lu,Dai-En Lin,Min-Hsuan Lin,Yuan-Ting Jiang,Yuan-Hao Howard Hsu 한국고분자학회 2020 Macromolecular Research Vol.28 No.12

Biocompatible 2-methacryloyloxyethyl phosphorylcholine (MPC) can enhance the adsorption of water molecules and is therefore used for manufacturing contact lenses. This study investigated the mechanical strength, anti-protein deposition, and anti-lipid adsorption effects of MPC addition to contact lenses. Experimental contact lenses produced by copolymerizing multiple ratios of MPC to 2-hydroxyethyl methacrylate (HEMA) were analyzed. Atomic force microscopy revealed that MPC addition increased surface roughness. The anti-protein deposition and anti-lipid adsorption effects on poly(HEMA-MPC) polymers of various phosphorylcholine quantities were experimentally confirmed. The water content of the contact lenses was proportional to the MPC content in the polymer. The hydrated PC moiety of MPC drastically altered the network of the poly-HEMA polymer by inserting water molecules, which were trapped in the concave region of the surface. MPC addition had negative effects on all examined strength factors because of structural destabilization of the copolymer through water insertion. The anti-deposition effects of MPC were verified by examining the lysozyme and lipid adsorption abilities of the prepared contact lenses. Our results revealed that MPC enhanced interactions of the poly(HEMA-MPC) copolymer with water molecules; these interactions weakened the mechanical strength of the copolymer but markedly improved the anti-adsorption property of the biomolecules. The optimal proportion of HEMA–MPC for contact lenses is in the range 14.9%-28.5%.

Predictive maintenance of abnormal wind turbine events by using machine learning based on condition monitoring for anomaly detection

Huan Chen,Jyh-Yih Hsu,Jia-You Hsieh,Hsin-Yao Hsu,Chia-Hao Chang,Yu-Ju Lin 대한기계학회 2021 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.35 No.12

The predictive maintenance of wind turbines has become a critical issue with the rapid development of wind power generation. The early detection of abnormal operation conditions can prevent failure status, which takes a long time to recover. Energy waste can also be reduced while maintenance efficiency can be improved by using a supervisory control and data acquisition (SCADA) system to monitor the operation status of wind turbines. Massive data are generated from different sensors during wind turbine operation, and SCADA can be used to gather reports about hundreds of possible abnormal conditions. The popular maintenance methods have been mostly designed on the basis of statistical analysis and data mining. However, such schemes need not only big data but also sophisticated processing techniques. This study addresses the aforementioned challenges by proposing a deep learning model with comprehensive data preprocessing and hyperparameter tuning on batch size to achieve abnormal early detection. The necessary data preprocessing is initially conducted besides the conventional data cleaning and normalization steps, and time-series data windowing and label settings are also performed. Then, the imbalanced classes in the records are addressed by adopting an augmentation scheme called the synthetic minority oversampling technique. Principal component analysis is also used to enhance the training. Finally, the proposed deep learning method with fine-tuning is compared with three machine learning models for early anomaly event detection. Experimental results show that the proposed scheme can identify potential faults 72 hours before they occur, and the precision rate exceeds 90 %.

THE RELATIONSHIP BETWEEN TRANSFORMATIONAL LEADERSHIP AND VALUE CO-CREATION: THE MOTIVATIONAL PROCESSES INVOLVED IN THE RELATIONSHIP

Chan Hsiao,Yi-Hsuan Lee,Hao-Hsin Hsu 글로벌지식마케팅경영학회 2018 Global Marketing Conference Vol.2018 No.07

With the advent of globalization and the accompanying rapid changes in economic environments, firms have gradually transformed their mode of operations from one based on the traditional good-dominant logic to one based on service-dominant logic. The emergence of service-dominant logic has resulted in the development of value co-creation, which refers to the process through which firms, suppliers, and customers all become involved in the discovery and creation of product value and create added value through even and reasonable distribution. Drawing upon the SDT theory, the current study has the following three research objectives. First, the current study investigated the influence of transformational leadership on employee-based value co-creation and the impact of transformational leadership on employees’ intrinsic motivation to further enhance their value co-creation. Second, this study sought to understand the mediating mechanisms between transformational leadership and employee-based value co-creation; financial and non-financial variables were used as the mediators to explore whether the financial incentive affects employees’ intrinsic motivational process with regard to the transformational leadership that leads to employees’ intrinsic motivation. Third, positive psychological capital was used as a mediator to examine whether it mediates the relationship between the financial perspective and value co-creation. Fourth, self-concordance was also adopted to examine whether self-concordance mediates the relationship between the financial perspective and value co-creation. We collected 513 survey responses from 81 teams in firms from diverse industries in Taiwan. The present study makes the following contributions. First, previous research related to leadership behavior primarily focused on the influences of leadership behaviors on employee attitudes and behaviors. Only a few studies addressed the impact of leadership on value co-creation. Drawing on the self-determination theory to build our research framework, our study contributes to the field by investigating how transformational leadership stimulates employee-based value co-creation. Second, the present study investigated the psychological mechanisms involved in the motivational process in the context of the ways in which transformational leadership facilitates changes in employee behavior, particularly for employees’ intrinsic motivation. Third, the present study proved that financial and non-financial incentives respectively mediated the relationship between transformational leadership and positive psychological capital. Additionally, both financial and non-financial incentives mediated the relationship between transformational leadership and self-concordance. These results suggest that both financial and non-financial incentives could be effective ways for transformational leaders to intrinsically motivate their employees. These findings are valuable contributions to the leadership studies field. Fourth, the present study adopted hierarchical linear modeling (HLM) to conduct a multi-level analysis of the relationship between transformational leadership and value co-creation.

The seasonal detection of AcSBV (Apis cerana sacbrood virus) prevalence in Taiwan

Yu-Shin Nai,Chong-Yu Ko,Pei-Shou Hsu,Wen-Shi Tsai,Yue-Wen Chen,Meng-Hao Hsu,I-Hsin Sung 한국응용곤충학회 2018 Journal of Asia-Pacific Entomology Vol.21 No.1

The epizootic disease caused by Apis cerana sacbrood virus (AcSBV) occurred in Eastern hive bee, A. cerana, since2015 in Taiwan. A large-scale survey of this disease from September and December 2016 in Taiwan was performedincluding symptom check and molecular identification in honey bees of A. cerana hives and several A. mellifera hives, which were co-cultured with A. cerana. Based on the nucleotide sequences of partial VP1, thephylogenetic analysis with those of the known AcSBV isolates revealed that most of AcSBV isolates from Taiwanwere closely relative to SBV-FZ and -JL isolates from China, whereas only one sample (N15-5-1) was in a distinctcluster, which was closely relative to SBV-LN from China too. The AcSBV prevalence was occurring in A. ceranahives in most areas of Taiwan except for those in Hualien and Pingtung Counties in Taiwan. Notably, the AcSBVprevalence rate showed the temporal increase from 47.1% to 69.6% within 4 months. In addition, 37.5% ofAcSBV prevalence rate was found in A. mellifera hives. It showed that A. mellifera was also susceptible to AcSBVinfection. The present results would provide the information on the epidemiology and for prospective research.