• The Korean Journal of Physiology and Pharmacology
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• 제23권1호
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• pp.1-20
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• 2019

Neuropathic pain is a complex chronic pain state caused by the dysfunction of somatosensory nervous system, and it affects the millions of people worldwide. At present, there are very few medical treatments available for neuropathic pain management and the intolerable side effects of medications may further worsen the symptoms. Despite the presence of profound knowledge that delineates the pathophysiology and mechanisms leading to neuropathic pain, the unmet clinical needs demand more research in this field that would ultimately assist to ameliorate the pain conditions. Efforts are being made globally to explore and understand the basic molecular mechanisms responsible for somatosensory dysfunction in preclinical pain models. The present review highlights some of the novel molecular targets like D-amino acid oxidase, endoplasmic reticulum stress receptors, sigma receptors, hyperpolarization-activated cyclic nucleotide-gated cation channels, histone deacetylase, $Wnt/{\beta}-catenin$ and Wnt/Ryk, ephrins and Eph receptor tyrosine kinase, Cdh-1 and mitochondrial ATPase that are implicated in the induction of neuropathic pain. Studies conducted on the different animal models and observed results have been summarized with an aim to facilitate the efforts made in the drug discovery. The diligent analysis and exploitation of these targets may help in the identification of some promising therapies that can better manage neuropathic pain and improve the health of patients.

• The Journal of the Convergence on Culture Technology
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• 제7권3호
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• pp.481-486
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• 2021

Machine learning algorithms adopt criterion function as a key component to measure the quality of their model derived from data. Cluster analysis also uses this function to rate the clustering result. All the criterion functions have in general certain types of favoritism in producing high quality clusters. These clusters are then described by attributes and their values. Category utility and partition utility play an important role in cluster analysis. These are fully analyzed in this research particularly in terms of how they are related to the favoritism in the final results. In this research, several data sets are selected and analyzed to show how different results are induced from these criterion functions.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.139-149
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• 2022

The article investigates the impact mechanism of absorption capacity (potential absorptive capacity - PAC and realized absorptive capacity - RAC) on the innovation efficiency of enterprises through the intermediate variable of dual innovation (exploratory innovation- INOR and exploitative innovation- INOI), based on the actual situation of Vietnam's small and medium enterprises (SMEs). A survey of Vietnam's SMEs was conducted from August 2020 to April 2021. The data was collected through interviews and questionnaires, and 146 valid questionnaires were received. The following results were acquired using SPSS 20.0 software to do correlation and regression analysis of data results.: The results show that the absorptive capacity of enterprises has a positive impact on innovation performance and dual innovation acts as a mediator in how absorptive capacity affects innovation performance. This study deepens the understanding of how absorptive capacity affects innovation performance and provides important new evidence for developing absorptive capacity and dual innovation in both theories and practice in Vietnam's SMEs. The study also proposes several solutions and recommendations to help Vietnam's small and medium enterprises improve their innovation capacity, competitiveness, and performance.

• Journal of Physiology & Pathology in Korean Medicine
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• 제35권5호
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• pp.132-138
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• 2021

Artificial intelligence technology sheds light on new ways of innovating acupuncture research. As acupoint selection is specific to target diseases, each acupoint is generally believed to have a specific indication. However, the specificity of acupoint selection may be not always same with the specificity of acupoint indication. In this review, we propose that the specificity of acupoint indication can be inferred from clinical data using reverse inference. Using forward inference, the prescribed acupoints for each disease can be quantified for the specificity of acupoint selection. Using reverse inference, targeted diseases for each acupoint can be quantified for the specificity of acupoint indication. It is noteworthy that the selection of an acupoint for a particular disease does not imply the acupoint has specific indications for that disease. Electronic medical record includes various symptoms and chosen acupoint combinations. Data mining approach can be useful to reveal the complex relationships between diseases and acupoints from clinical data. Combining the clinical information and the bodily sensation map, the spatial patterns of acupoint indication can be further estimated. Interoperable medical data should be collected for medical knowledge discovery and clinical decision support system. In the era of artificial intelligence, machine learning can reveal the associations between diseases and prescribed acupoints from large scale clinical data warehouse.

• Child Health Nursing Research
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• 제28권1호
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• pp.51-61
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• 2022

Purpose: Practical training in pediatric nursing gives students the opportunity to apply nursing knowledge to children in a realistic clinical context. Clinical practice faculty (CPF) and clinical nursing instructor (CNI) have played important roles in the pediatric nursing practicum. This study was conducted to develop a protocol to guide clinical practicum in pediatric nursing. Methods: A service design methodology was employed between August 2020 and May 2021 at four universities and four hospitals in South Korea. The participants were five CPFs, five CNIs, five nursing college graduates, and 60 nursing students. The service design process had four phases: discovery, definition, development, and delivery. Data were collected through self-report questionnaires, in-depth interviews, and observations. The data were analyzed using content analysis and descriptive statistics. Results: The participants reported needs for providing concrete guidance and explanation, nursing practice experience, and a link between school and the clinical field. A protocol was developed to fulfill the participants' needs. The protocol comprised detailed information, teaching methodology, and partnership to guide students in the pediatric nursing practicum. Conclusion: The protocol developed in this study can be used to provide guidance for students' clinical practice in the field of pediatric nursing.

• The Korean Journal of Food & Health Convergence
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• 제8권4호
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• pp.1-10
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• 2022

The term "Organic Food" is no longer strange to consumers around the world. Many people are concerned about their safety and health, so they have chosen this safe food. However, the decision to buy this product still faces some difficulties and challenges, such as the high price of organic products, short-time use, supply of products and so on. This study conducted an analysis to investigate the determinants of Danang City consumers' intention to purchase organic foods in Vietnam. The results show that, there are 6 influencing factors, including: subjective norm, food safety & health consciousness, consumer knowledge & environment consciousness, price of the product, availability product and trust in brands and certifications. The study uses a combination of 2 qualitative and quantitative methods. Qualitative methods are used through analysis, evaluation and synthesis of previous studies to build research models and scales for variables. Quantitative method with 250 samples applied SPSS 25.0 to test the scale by Cronbach's Alpha coefficients, to analyze the discovery factor EFA and regression analysis. The findings of the study provide useful information for consumers to buy organic foods and for marketers to increase sale of organic foods in Vietnam in general and Danang city in particular.

• Journal of Ecology and Environment
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• 제46권2호
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• pp.126-135
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• 2022

Background: Pollinators are important ecological elements due to their role in the maintenance of ecosystem health, wild plant reproduction, crop production and food security. The pollinator-plant interaction supports the preservation of plant and animal populations and it also improves the yield in pollination dependent crops. Having knowledge about the plant-pollinator interaction is necessary for development of pesticide risk assessment of pollinators and conservation of endangering species. Results: Traditional methods to discover the relatedness of insects and plants are based on tracing the visiting pollinators by field observations as well as palynology. These methods are time-consuming and needs expert taxonomists to identify different groups of pollinators such as insects or identify flowering plants through palynology. With pace of technology, using molecular methods become popular in identification and classification of organisms. DNA metabarcoding, which is the combination of DNA barcoding and high throughput sequencing, can be applied as an alternative method in identification of mixed origin environmental samples such as pollen loads attached to the body of insects and has been used in DNA-based discovery of plant-pollinator relationship. Conclusions: DNA metabarcoding is practical for plant-pollinator studies, however, lack of reference sequence in online databases, taxonomic resolution, universality of primers are the most crucial limitations. Using multiple molecular markers is preferable due to the limitations of developed universal primers, which improves taxa richness and taxonomic resolution of the studied community.

• Proceedings of the Korean Society of Crop Science Conference
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• 한국작물학회 2022년도 추계학술대회
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• pp.34-34
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• 2022

Capacity building for bioinformatics could be achieved with the systematic training of research staff and higher degree students in the current best practices for analysis of data from 'omic-type experiments. It is anticipated that the KOICA-University of the Philippines Los Baños - International Rice Research Insitute Agricultural Genomics Research Center activities will focus on the use of next generation sequencing technology for genome sequencing and annotation, genome variant discovery for use in GWAS and QTL mapping, and transcriptome analysis of organisms important to agriculture and food security. Such activities require that researchers have high levels of knowledge and skills in bioinformatics in order to gain insights from the results of the experiments performed. In this talk the bioinformatic tools/solutions and online training materials already available will be presented, as well the upcoming resources under development in support of the project.

• Mycobiology
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• 제51권5호
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• pp.288-299
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• 2023

Aspergillus is one of the largest and diverse genera of fungi with huge economical, biotechnological, and social significance. Taxonomically, Aspergillus is divided into six subgenera comprising 27 sections. In this study, 235 strains of Aspergillus subgenus Circumdati (section: Candidi, Circumdati, Flavi, Flavipedes, Nigri, and Terrei) preserved at the Korean Agricultural Culture Collection (KACC) were analyzed and re-identified using a combined dataset of partial b-tubulin (BenA), Calmodulin (CaM) gene sequences and morphological data. We confirmed nineteen species to be priorly reported in Korea (A. neotritici, A. terreus, A. floccosus, A. allahabadii, A. steynii, A. westerdijkiae, A. ochraceus, A. ostianus, A. sclerotiorum, A. luchuensis, A. tubingensis, A. niger, A. welwitschiae, A. japonicus, A. nomius, A. tamarii, A. parasiticus, A. flavi, and A. oryzae). Among the studied strains, three species (A. subalbidus, A. iizukae, and A. uvarum), previously unreported or not officially documented, were discovered in Korea, to the best of our knowledge. We have given a detailed description of the characteristic features of the three species, which remain uncharted in Korea.

• Anatomy and Cell Biology
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• 제56권1호
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• pp.25-31
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• 2023

Johannes Nathanael Lieberkühn was a prodigious anatomist whose meticulous experiments and precise detailing helped in comprehending the microscopic anatomy of digestive system during early part of eighteenth century. Notably, his inventions in the field of microscopy aptly complemented his quest for anatomical knowledge at microscopic level. He designed a reflector (Lieberkühn reflector) which enhanced the amount of focussed light leading to bright illumination of tissue specimen. He invented the solar microscope which provided excellent resolution of minute anatomical details. Lieberkühn discovered the digestive juice secreting tubular glands (glands of Lieberkühn) present at the base of intestinal villi producing epithelial invaginations (crypts of Lieberkühn). He also described the intricate juxtaposition of blood vessels in relation to a single intestinal villi. Moreover, through empirically designed experimental set up, Lieberkühn was able to demonstrate the flow of lymph from intestinal villi to collecting lymphatic vessels. Also, his grandiose collection of laboratory specimens involving vascular anatomy are a testimony of his untiring efforts in academia. His contributions were seminal in comprehending the anatomy of digestive system and paved the way for future revelations. His work unveiled the enormous scope of microanatomy in medical science and catalysed the advent of histological staining methods a century later.