- Supply Chain and Inventory Management
- Sustainable Supply Chain Management
- Scheduling and Optimization Algorithms
- MicroRNA in disease regulation
- Food Quality and Safety Studies
- Lung Cancer Diagnosis and Treatment
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 diagnosis using AI
- Agriculture, Soil, Plant Science
- Circular RNAs in diseases
- Cancer-related molecular mechanisms research
- Hair Growth and Disorders
- Microencapsulation and Drying Processes
- Insect and Pesticide Research
- RNA Research and Splicing
- Pluripotent Stem Cells Research
- Pesticide Residue Analysis and Safety
- Dyeing and Modifying Textile Fibers
- Advanced Queuing Theory Analysis
- Polysaccharides and Plant Cell Walls
- Garlic and Onion Studies
- Congenital Diaphragmatic Hernia Studies
- Fuzzy Systems and Optimization
- Modeling and Simulation Systems
- Congenital Heart Disease Studies
Hanyang University
2009-2021
Anyang University
2020-2021
Dong-A University
2020
Dong-A University Hospital
2020
Ministry of Food and Drug Safety
2019
Hankuk University of Foreign Studies
2007-2013
Chungbuk National University
2010
Ajou University
2003
Yonsei University
1997-2002
Previously, we have reported tissue- and stage-specific expression of miR-372 in human embryonic stem cells so far, not many reports speculate the function this microRNA (miRNA). In study, screened various cancer cell lines including gastric found first time that is expressed only AGS adenocarcinoma line. Inhibition using antisense oligonucleotide (AS-miR-372) suppressed proliferation, arrested cycle at G2/M phase, increased apoptosis cells. Furthermore, AS-miR-372 treatment LATS2, while...
A novel deep-learning algorithm for artificial neural networks (ANNs), completely different from the back-propagation method, was developed in a previous study. The purpose of this study to assess feasibility using detection intracranial haemorrhage (ICH) and classification its subtypes, without employing convolutional network (CNN). For ICH with summation all computed tomography (CT) images each case, area under ROC curve (AUC) 0.859, sensitivity specificity were 78.0% 80.0%, respectively....
Abstract Precise control of gene expression is paramount importance for proper embryonic development. Although a number microRNAs (miRNAs) has been implicated in fine-tuning mRNA translation during development, their exact roles gastrulation, particularly connection with functional targets, have yet to be clarified, regard stage-specific cell migration form three germ layers. We found that miR-124a expressed human stem cells (hESC), but gradually downregulated embryoid body (EB) formation...
This paper develops a two-echelon supply chain model with single manufacturer and retailer, where the demand is sensitive to advertising retail price. To resolve coordination, three strategies are introduced as retailer leader-manufacturer follower, leader-retailer centralised chain. Based on these strategies, this suggests an optimal production rate, lot size, shortage level, expenditure, Stackelberg approach employed for solving leader-follower game obtain maximum profit of both retailer....
MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression at post-transcriptional levels through mRNA degradation or translation inhibition. Little is known regarding miRNA participation in regulating hematopoietic, more specifically erythroid differentiation. This study was aimed identifying lineage-specific miRNAs expressed during vitro erythropoiesis using human embryonic stem cells (hESCs) and umbilical cord blood (CB) CD34+ cells. hematopoietic were produced from hESCs...
Jinhyuk Bhin, Hoe-Su Jeong, Jong Soo Kim, Jeong Oh Shin, Ki Sung Hong, Han-Sung Jung, Changhoon Daehee Hwang, and Kye-Seong Kim. Mol. Cells 2015;38:895-903. https://doi.org/10.14348/molcells.2015.0146
Abstract The purpose of this study was to evaluate the diagnostic performance achieved by using fully-connected small artificial neural networks (ANNs) and a simple training process, Kim-Monte Carlo algorithm, detect location pneumothorax in chest X-rays. A total 1,000 X-ray images with were taken randomly from NIH (the National Institutes Health) public image database used as test sets. Each divided into 49 boxes for localization. For each contained set, area under receiver operating...
It is common practice in many industries to use a replenishment contract with mechanism of capacity reservation. In this paper, we focus on multi-period reservation practiced between buyer, who buys single type product and sells it end-customers, two or more heterogeneous suppliers, produce replenish the as agreed upon contractually. mathematical model including several key features real developed for supplier situation from buyer's perspective. then extended multiple system which there are...
A novel deep-learning algorithm for artificial neural networks (ANNs) was developed and presented in this paper, which is intuitively understandable, simple, efficient, completely different from the back-propagation method, i.e., randomly selecting weight factors bias values of an ANN adjusting their by small random amounts during training session where it does not need to calculate gradients error adjust as method. The applied predict location glottis airway images obtained using a video...
The purpose of this study was to assess the diagnostic performance artificial neural networks (ANNs) detect pneumoperitoneum in abdominal radiographs for first time. This approach applied a novel deep-learning algorithm, simple ANN training process without employing convolution network (CNN), and also used widely utilized method, ResNet-50, comparison. By applying ResNet-50 radiographs, we obtained an area under ROC curve (AUC) 0.916 accuracy 85.0 % with sensitivity 85.7 predictive value...
The aim of this study was to understand the mechanisms that allow mSSC lines be established from SSCs. Small, multilayer clumps SSCs formed during two four weeks in vitro culture and were then transferred MEF feeders. round, monolayer colonies containing cells destined convert mSSCs, designated as intermediate state (iSSCs), first appeared after three passages. During an additional nine passages (47-54 days) under same conditions, iSSCs slowly proliferated maintained their morphology....
Abstract This paper considers a replenishment problem for single buyer who orders multiple types of items from two or more heterogeneous suppliers in order to sell end customers. The periodically each type item the according select inventory control policy. Processing order, supplier enforces policy that an must meet predetermined minimum quantity (MOQ). Therefore, decide how much considering current level, demand forecast, and MOQ requirement. buyer's is formulated as integer programming...
We previously showed that Asb-4 and Asb-17 is uniquely expressed in developing male germ cells. A recent report Asb-9 specifically the kidney testes; however, detailed expression patterns cells have not been shown. Northern blot analysis various tissues demonstrated mAsb-9 was strongly testes. Expression by RT-PCR mouse testes indicates from fourth week after birth to adulthood, with highest round spermatids. sites were further localized situ hybridization Pachytene spermatocytes spermatids...
Portfolio optimization is to find the stock portfolio minimizing risk for a required return or maximizing given level. The seminal work in this field m ean-variance model formulated as quadratic programming problem. Since it not computationally practical solve original directly, number of alternative models have been proposed. In paper, among models, we focus on Mean Absolute Deviation (MAD) model. More specifically, derive bounds optimal objective function value. Using bounds, also develop...
A new differential display-polymerase chain reaction (PCR) method based on annealing control primers was used to screen and identify potential biomarkers from differentially expressed genes (DEGs) in medaka exposed sub-lethal concentration of diazinon (100 ppb). Among the identified, majority were functional categories protein biosynthesis, transport metabolism according gene ontology classification. The expression ribosomal quantified by real time PCR. encoding proteins including L3 S17...