• Proceedings of the Korean Institute of Surface Engineering Conference
• /
• 2017.05a
• /
• pp.3-23
• /
• 2017

The achievement of tissue engineering can be highly depending on the capability to generate complicated, cell seeded three dimensional (3D) micro/nano-structures. So, various fabrication techniques that can be used to precisely design the architecture and topography of scaffolding materials will signify a key aspect of multi-functional tissue engineering. Previous methods for obtaining scaffolds based on top-down are often not satisfactory to produce complex micro/nano-structures due to the lack of control on scaffold architecture, porosity, and cellular interactions. However, a bioprinting method can be used to design sophisticated 3D tissue scaffolds that can be engineered to mimic the tissue architecture using computer aided approach. Also, in recent, the method has been modified and optimized to fabricate scaffolds using various natural biopolymers (collagen, alginate, and chitosan etc.). Variation of the topological structure and polymer concentration allowed tailoring the physical and biological properties of the scaffolds. In this presentation, the 3D bioprinting supplemented with a newly designed plasma treatment for attaining highly bioactive and functional scaffolds for tissue engineering applications will be introduced. Moreover, various in vivo and in vitro results will show that the fabricated scaffolds can carry out their structural and biological functionality.

• Electronics and Telecommunications Trends
• /
• v.38 no.6
• /
• pp.62-74
• /
• 2023

In response to diverse external stimuli, sensory receptors generate spiking nerve signals. These generated signals are transmitted to the brain along the neural pathway to advance to the stage of recognition or perception, and then they reach the area of discrimination or judgment for remembering, assessing, and processing incoming information. We review research trends in neuromorphic sensory perception technology inspired by biological sensory perception functions. Among the various senses, we consider sensory nerve decoding technology based on sensory nerve pathways focusing on touch and smell, neuromorphic synapse elements that mimic biological neurons and synapses, and neuromorphic processors. Neuromorphic sensory devices, neuromorphic synapses, and artificial sensory memory devices that integrate storage components are being actively studied. However, various problems remain to be solved, such as learning methods to implement cognitive functions beyond simple detection. Considering applications such as virtual reality, medical welfare, neuroscience, and cranial nerve interfaces, neuromorphic sensory recognition technology is expected to be actively developed based on new technologies, including combinatorial neurocognitive cell technology.

• Research in Plant Disease
• /
• v.21 no.3
• /
• pp.161-179
• /
• 2015

Plant have developed sophisticated defence mechanisms against microbial pathogens. The recent accumulated information allow us to understand the nature of plant immune responses followed by recognition of microbial factors/determinants through cutting-edge genomics and multi-omics techniques. However, the practical approaches to sustain plant health using enhancement of plant immunity is yet to be fully appreciated. Here, we overviewed the general concept and representative examples on the plant immunity. The fungal, bacterial, and viral determinants that was previously reported as the triggers of plant immune responses are introduced and described as the potential protocol of biological control. Specifically, the role of chitin, glucan, lipopolysaccharides/extracellular polysaccharides, microbe/pathogen-associated molecular pattern, antibiotics, mimic-phytohormones, N-acyl homoserine lactone, harpin, vitamins, and volatile organic compounds are considered. We hope that this review stimulates scientific community and farmers to broaden their knowledge on the microbial determinant-based biological control and to apply the technology on the integrated pest management program.

• International Journal of Advanced Culture Technology
• /
• v.7 no.4
• /
• pp.156-162
• /
• 2019

Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by progressive joint deterioration; Furthermore, RA can also affect body tissues, including the skin, eyes, lungs, heart and blood vessels. The early stages of RA can be difficult to diagnose because the signs and symptoms mimic those of many other diseases. It is not known exactly what triggers the onset of RA and how to cure the disease. But recent discoveries indicate that remission of symptoms is more likely when treatment begins early with strong medications known as disease-modifying anti-rheumatic drugs (DMARDs). Tumor necrosis factor (TNF) inhibitors are typical examples of biotherapies that have been developed for RA. The substances may occur naturally in the body or may be made in the laboratory. Other biological therapies care biological response modifiers (BRMs)such as monoclonal antibodies, interferon, interleukin-2 (IL-2) and a protein binder using repeat units. These substances play significant anti-inflammatory roles. Proteins with recurrent, conserved amino acid stretches mediate interactions among proteins for essential biological functions; for example, ankyrin (ANK), Heat repeat protein (HEAT), armadillo repeat protein (ARM) and tetratricopeptide repeats (TPR). Here, we describe Leucine rich repeats (LRR) that ideally fold together to form a solenoid protein domain and is more applicable to our current study than the previously mentioned examples. Although BRMs have limitations in terms of immunogenicity and effector functions, among other factors, in the context therapeutic use and for proteomics research, We has become clear that repeat-unit-derived binding proteins will increasingly be used in biotechnology and medicine.

• International Journal of Stem Cells
• /
• v.7 no.2
• /
• pp.108-117
• /
• 2014

Background and Objectives: Genomic imprinting is an inheritance phenomenon by which a subset of genes are expressed from one allele of two homologous chromosomes in a parent of origin-specific manner. Even though fine-tuned regulation of genomic imprinting process is essential for normal development, no other means are available to study genomic imprinting in human during embryonic development. In relation with this bottleneck, differentiation of human embryonic stem cells (hESCs) into specialized lineages may be considered as an alternative to mimic human development. Methods and Results: In this study, hESCs were differentiated into three lineage cell types to analyze temporal and spatial expression of imprinted genes. Of 19 imprinted genes examined, 15 imprinted genes showed similar transcriptional level among two hESC lines and two human induced pluripotent stem cell (hiPSC) lines. Expressional patterns of most imprinted genes were varied in progenitors and fully differentiated cells which were derived from hESCs. Also, no consistence was observed in the expression pattern of imprinted genes within an imprinting domain during in vitro differentiation of hESCs into three lineage cell types. Conclusions: Transcriptional expression of imprinted genes is regulated in a cell type- specific manner in hESCs during in vitro differentiation.

• Journal of Biomedical Engineering Research
• /
• v.24 no.3
• /
• pp.151-158
• /
• 2003

Numerous studies of short-term, beat-to-beat variability in cardiovascular signals have used linear analysis techniques. However, no study has been done about the appropriateness of linear techniques or the comparison between linearities and nonlinearities in short-term, beat-to-beat variability. This paper aims to verify the appropriateness of linear techniques by investigating nonlinearities in short-term, beat-to-beat variability. We compared linear autoregressive moving average(ARMA) with nonlinear neural network(NN) models for predicting current instantaneous heart rate(HR) and mean arterial blood pressure(BP) from past HRs and BPs. To evaluate these models. we used HR and BP time series from the MIMIC database. Experimental results indicate that NN-based nonlinearities do not play a significant role and suggest that 10 technique provides adequate characterization of the system dynamics responsible for generating short-term, beat-to-beat variability.

• Journal of Institute of Control, Robotics and Systems
• /
• v.12 no.3
• /
• pp.255-263
• /
• 2006

In the last decade, face analysis, e.g. face detection, face recognition, facial expression recognition, is a very lively and expanding research field. As computer animated agents and robots bring a social dimension to human computer interaction, interest in this research field is increasing rapidly. In this paper, we introduce an artificial emotion mimic system which can recognize human facial expressions and also generate the recognized facial expression. In order to recognize human facial expression in real-time, we propose a facial expression classification method that is performed by weak classifiers obtained by using new rectangular feature types. In addition, we make the artificial facial expression using the developed robotic system based on biological observation. Finally, experimental results of facial expression recognition and generation are shown for the validity of our robotic system.

• Proceedings of the KSME Conference
• /
• 2008.11a
• /
• pp.1475-1478
• /
• 2008

We have investigated the blood sucking phenomena of a female mosquito. The main objective of this study is to understand the mosquito's blood sucking mechanism and eventually to develop a bio-mimic technology that can be used to resolve the problem encountered in the transport of infinitesimal biological fluids in various bio-chips and microchips. At first, the consecutive velocity fields of blood-sucking flow in a proboscis were measured using a micro-particle image velocimetry (PIV) system employed with a high-speed camera. The velocity signals of the blood-sucking flow in the proboscis represent a periodic pulsatile flow pattern and spectral analysis on the velocity waveform shows a clear peak at 6.1 Hz.

• Journal of Microbiology and Biotechnology
• /
• v.5 no.6
• /
• pp.319-323
• /
• 1995

A chromogenic mimic of phenlyalanyl-dipeptide, L-phenylalanyl-L-2-sulfanilylglycine (PSG), was synthesized and examined for its usability in leucine aminopeptidase (LAP) assay. The enzyme activity was easily determined by measuring the amount of diazotized adduct of sulfanilic acid released upon hydrolysis of PSG ($\varepsilon^{420}$=18,000/M/cm). Under the experimental conditions employed, PSG showed a Km of 0.063 mM and a Kcat of 1683/min, assessable less than 0.1 $\mu$ g of LAP per milliliter. And the presence of aminopeptidase M (APM) was suggested to be negligible in LAP assay. This novel assay can circumvent the occasional yellow background in biological systems, i.e., serums, etc..

• The Journal of the Korean dental association
• /
• v.51 no.11
• /
• pp.586-594
• /
• 2013

The critical factors affecting the esthetics of anterior implants can be summarized as following: 1) Correct positioning of implant fixture 2) Enough amount of alveolar bone 3) Optimum volume of soft tissue. The position of implant is probably the most important factor in obtaining esthetic treatment outcome. The 3-dimensional orientation of implant is determined by the position on the alveolar ridge and its direction. Clinicians often try to mimic natural teeth when fabricating restorations. During the course of esthetic diagnosis and treatment, however, one should not forget to consider the correlation between facial pattern, lips, gingiva, alveolar ridge, as well as remaining dentition. Since anterior region is biologically unfavorable when compared with posterior region, one minor discrepancy in positioning of implant can cause esthetically undesirable treatment outcome. If one understands the biological and prosthetic meaning of implant's 3-dimensional position, he or she can achieve superior esthetic outcome in anterior region.