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Leung, Michael Yiu-Kwong,Ho, Walter Kwok-Keung Korean Society for Biochemistry and Molecular Biol 2006 Journal of biochemistry and molecular biology Vol.39 No.2
Native grass carp (Ctenopharygodon idellus) growth hormone, has 5 cysteine amino acid residues, forms two disulphide bridges in its mature form. Recombinant grass carp growth hormone, when over-expressed in E. coli, forms inclusion bodies. In vitro oxidative renaturation of guanidine-hydrochloride dissolved recombinant grass carp growth hormone was achieved by sequential dilution and stepwise dialysis at pH 8.5. The redox potential of the refolding cocktail was maintained by glutathione disulphide/glutathione couple. The oxidative refolded protein is heterogeneous, and contains multimers, oligomers and monomers. The presence of non-disulphide-bond-forming cysteine in recombinant grass carp growth hormone enhances intermolecular disulphide bond formation and also non-native intramolecular disulphide bond formation during protein folding. The non-disulphide-bond-forming cysteine was converted to serine by PCR-mediated site-directed mutagenesis. The resulting 4-cysteine grass carp growth hormone has improved in vitro oxidative refolding properties when studied by gel filtration and reverse phase chromatography. The refolded 4-cysteine form has less hydrophobic aggregate and has only one monomeric isoform. Both refolded 4-cysteine and 5-cystiene forms are active in radioreceptor binding assay.
Hai-Tao Yu,Yiu Kwong Wong,Wai Lok Chan,Kai Ming Tsang,Jiang Wang 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.5
In this paper, the dynamics of single and two electrically coupled map-based neurons under external electrical stimulation is studied. In order to realize the synchronization of two chaotic spiking neurons, a controller based on the idea of feedback linearization is proposed. The simulation results demonstrate the effectiveness of this developed control method. An important feature of the feedback control is that the amplitude of control signal tends to zero as soon as the synchronization is achieved.
Smart Hanger Dynamic Modeling and Fuzzy Controller Design
Eric Hoi-Kwun Fung,Yiu-Kwong Wong,Yan Ma,Chun-Wah Marcus Yuen,Wai-Keung Wong 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.4
The controlled smart hanger is an indispensable component in the automatic system for garment inspection. Fuzzy logic is chosen for the smart hanger manipulator since it can describe the human behavior remarkably well. In this paper, the dynamic model of the manipulator governing the contact force with garment fabric is first developed. An adaptive fuzzy logic PID control scheme is successfully formulated for the contact force control. Simulation results indicate that the fuzzy PID controller can yield a faster response without overshoot and a smaller error performance as compared to the traditional method based on PID. The stability of the fuzzy PID controller is also demonstrated by computer simulations.
Cheung Victor Kai-Lam,Eric Hang-Kwong So,George Wing-Yiu Ng,Sze-Sze So,Jeff Leung-Kit Hung,Nam-Hung Chia 한국한의학연구원 2020 Integrative Medicine Research Vol.9 No.3
Background: This cross-sectional study aimed at evaluating impacts of healthcare simulation training, either in-situ or lab-based, on personal strengths of healthcare workers (HCWs) and organizational outcomes during the COVID-19 pandemic. Methods: COVID-19 Taskforce was established to formulate standardized scenario-based simulation training materials in late-January 2020. Post-training questionnaires made up of 5-point Likert scales were distributed to all participants to evaluate their personal strengths, in terms of i) assertiveness, ii) mental preparedness, iii) self-efficacy, iv) internal locus of control, and v) internal locus of responsibility. Independent sample t-tests were used to analyze between-group difference in “In-situ” and “Lab-based” group; and one-sample t-tests were used to compare change in personal strengths with reference point of 3 (Neutral). Kirkpatrick’s Model served as the analytical framework for overall training effects. Results: Between 05 February and 18 March 2020, 101 sessions of simulation training were conducted in “In-Situ” at either Accident & Emergency Department (20, 20%) or Intensive Care Unit (15, 14%) and “Lab-based” for Isolation (30, 30%) and General Wards (36, 36%). 1,415 hospital staff members, including 1,167 nurses (82%), 163 doctors (12%) and 85 patient care assistants (6%), were trained. All domains of personal strengths were scored 4.24 or above and statistically significantly increased when comparing with reference population (p < .001). However, no significant differences between in-situ and lab-based simulation were found (p > .05), for all domains of personal strengths. Conclusion: Healthcare simulation training enhanced healthcare workers’ personal strengths critical to operational and clinical outcomes during the COVID-19 pandemic.