• Journal of Integrative Natural Science
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• v.9 no.1
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• pp.41-61
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• 2016

Non-small cell lung cancer (NSCLC) is the leading cause of cancer-related mortality worldwide. Phosphoinositide 3-kinases (PI3Ks) play important role in Non-Small Cell Lung Cancer. PI3Ks constitute a lipid kinase family which modulates the function of numerous substrates involved in the regulation of cell survival, cell cycle progression and cellular growth. Herein, we describe the ligand based pharmacophore combined with molecular docking studies methods to identify new potent PI3K inhibitors. Several pharmacophore models were generated and validated by Guner-Henry scoring Method. The best models were utilized as 3D pharmacophore query to screen against ZINC database (Chemical and Natural) and the retrieved hits were further validated by fitness score, Lipinski's rule of five. Finally four compounds were found to have good potential and they may act as novel lead compounds for PI3K inhibitor designing.

• Journal of Korean Foot and Ankle Society
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• v.25 no.2
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• pp.61-65
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• 2021

It is widely acknowledged that Achilles tendinopathy and resultant degeneration of the Achilles tendon could be either due to vigorous physical exertion or due to inflammation of the tendon associated with systemic disease. The overuse injuries are generally multifactorial in origin and are caused by repetitive strain of the affected tendon till the tendon can no longer endure the tensile stress. Various alignment and biomechanical faults are claimed to play a causative role. Only 2% of patients complaining of Achilles tendon pain are caused by systemic disease. However, to ensure the right approach to treatment, it is necessary to rule out inflammatory tendinitis caused by systemic diseases such as rheumatoid arthritis, gout, and seronegative spondyloarthrosis.

• Journal of Information Technology Applications and Management
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• v.26 no.1
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• pp.65-75
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• 2019

As the use of semantic web based on XML increases in the field of data management, a lot of studies to extract useful information from the data stored in ontology have been tried based on association rule mining. Ontology data is advantageous in that data can be freely expressed because it has a flexible and scalable structure unlike a conventional database having a predefined structure. On the contrary, it is difficult to find frequent patterns in a uniformized analysis method. The goal of this study is to provide a basis for extracting useful knowledge from ontology by searching for frequently occurring subgraph patterns by applying transaction-based graph mining techniques to ontology schema graph data and instance graph data constituting ontology. In order to overcome the structural limitations of the existing ontology mining, the frequent pattern search methodology in this study uses the methodology used in graph mining to apply the frequent pattern in the graph data structure to the ontology by applying iterative node chunking method. Our suggested methodology will play an important role in knowledge extraction.

• Nuclear Engineering and Technology
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• v.53 no.3
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• pp.866-878
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• 2021

Procedures play a key role in ensuring safe operation at nuclear power plants (NPPs). Development and maintenance of a large number of procedures reflecting the best knowledge available in all relevant areas is a complex job. This paper introduces a newly developed methodology and the implemented software, called iExtractor, for the extraction of syntactic and semantic information from NPP procedures utilizing natural language processing (NLP)-based technologies. The steps of the iExtractor integrated with sets of rules and an ontology for NPPs are described in detail with examples. Case study results of the iExtractor applied to selected procedures of a U.S. commercial NPP are also introduced. It is shown that the iExtractor can provide overall comprehension of the analyzed procedures and indicate parts of procedures that need improvement. The rich information extracted from procedures could be further utilized as a basis for their enhanced management.

• Advances in concrete construction
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• v.13 no.5
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• pp.377-384
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• 2022

The present paper deals with nonlinear deflection analysis of hyperelastic plates rested on elastic foundation and subject to a transverse point force. For modeling of hyperelastic material, three-parameter Ishihara model has been employed. The plate formulation is based on classic plate theory accounting for von-Karman geometric nonlinearity. Therefore, both material and geometric nonlinearities have been considered based on Ishihara hyperelastic plate model. The governing equations for the plate have been derived based on Hamilton's rule and then solved via Galerkin's method. Obtained results show that material parameters of hyperelastic material play an important role in defection analysis. Also, the effects of foundation parameter and load location on plate deflections will be discussed.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.370-377
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• 2018

Focus level has been important mental state in user study. Cardiac response has been related to focus and less clarified. The study was to determine cardiac parameters for recognizing focus level. The sixty participants were asked to play shooting game designed to control two focus levels. Electrocardiogram was measured during task. The parameters of time domain and frequency domain were determined from ECG. As a result of independent t-test, RRI, SDNN, rMSSD and pNN50 of time domain indicator were statistically significant in recognizing focus level. LF, HF, lnLF and lnHF of frequency domain were observed to be significant indicator. The rule base for recognition has been developed by the combination of RRI, rMSSD and lnHF. The rule base has been verified from another sixty data samples. The recognition accuracy were 95%. This study proposed significant cardiac indicators for recognizing focus level. The results provides objective measurement of focus in user interaction design in the fields of contents industry and service design.

• Journal of Arbitration Studies
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• v.23 no.4
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• pp.97-122
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• 2013

Vietnam has become an attractive destination for foreign investors, but confidence in the country's legal system to resolve commercial disputes remains low. Reasons include the lack of an independent judiciary, the lack of published court decisions, and a tendency to criminalize civil disputes, among others. As such, arbitration has become a preferred alternative to litigation. On June 17, 2010, the National Assembly of Vietnam passed a new act on commercial arbitration replacing the July 1, 2003 ordinance on commercial arbitration. The new act will take effect on January 1, 2011, and it is widely expected by the Vietnamese legal profession and lawmakers will create a favorable legal framework for the expansion of the arbitration service market in Vietnam. The new act is inspired by the UNCITRAL Model Arbitration Law of 1985 as are most new arbitration laws throughout the world. As opposed to the 2003 ordinance, the 2010 Act allows parties to request interim relief from the arbitrators. Also the new act eliminates the mandate that arbitrators be Vietnamese. The law has addressed the ordinance's shortcomings and reflects international standards. Commercial arbitration law is an important milestone in the improvement process of the laws on commercial arbitration in Vietnam. However, it is still too soon to affirm anything definitely because there remain many obstacles to the activation of arbitration. Rule of law and business cultural factors are important. The leading arbitral institution, VIAC, which is attached to the Vietnam Chamber of Commerce and Industry, is expected to play an important role for boosting the competitiveness of Vietnamese arbitration as an avenue to dispute settlement.

• Journal of Korea Game Society
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• v.6 no.2
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• pp.13-22
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• 2006

As the development of games continues, the intelligence of NPC is becoming more and more important. Nowadays, the NPCs of MMORPGS are not only capable of simple actions like moving and attacking players, but also utilizing variety of skills and tactics as human-players do. This study suggests a method that grants characters used in RPG(Role-Playing Game) an ability of training and adaptation using Neural network and Genetic Algorithm. In this study, a simple game-play model is constructed to test how suggested intellect characters could train and adapt themselves to game rules and tactics. In the game-play model, three types of characters(Tanker, Dealer, Healer) are used. Intellect character group constructed by NN and GA, and trained by combats against enemy character group constructed by FSM. As the result of test, the proposed intellect characters group acquire an appropriate combat tactics by themselves according to their abilities and those of enemies, and adapt change of game rule.

• The Journal of the Korea Contents Association
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• v.10 no.6
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• pp.188-196
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• 2010

This study aims at empiricallly designing method to increase player's play capability through determining of the relations of player's behavior pattern and emotion factors when having gameplay experiences in MMORPG. For modeling emotion factors on gameplay, Our preliminary studies are considered in the process of rule-based systems on cognitive science approach. These study estabilished game architecture process applied of player's cognitieve emotion reactions in specific situation of role playing games that have most noticeable interaction with players based on quest system. This approach is expected to extend instant responses, which can be controlled behind all of anti-main behavior pattern and main behavior pattern in game playing. Therefore, such study is meaningful that is proposed the analysis framework of player's emotion factors to design game playing capability in game interactions.

• Advances in nano research
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• v.7 no.4
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• pp.249-263
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• 2019

In the current paper, an exact solution method is carried out for analyzing the thermo-mechanical vibration of curved FG nano-beams subjected to uniform thermal environmental conditions, by considering porosity distribution via nonlocal strain gradient beam theory for the first time. Nonlocal strain gradient elasticity theory is adopted to consider the size effects in which the stress for not only the nonlocal stress field but also the strain gradients stress field is considered. It is perceived that during manufacturing of functionally graded materials (FGMs) porosities and micro-voids can be occurred inside the material. Material properties of curved porous FG nanobeam are assumed to be temperature-dependent and are supposed to vary through the thickness direction of beam which modeled via modified power-law rule. Since variation of pores along the thickness direction influences the mechanical and physical properties, porosity play a key role in the mechanical response of curved FG nano-structures. The governing equations and related boundary condition of curved porous FG nanobeam under temperature field are derived via the energy method based on Timoshenko beam theory. An analytical Navier solution procedure is utilized to achieve the natural frequencies of porous FG curved nanobeam supposed to thermal loading. The results for simpler states are confirmed with known data in the literature. The effects of various parameters such as nonlocality parameter, porosity volume fractions, thermal effect, gradient index, opening angle and aspect ratio on the natural frequency of curved FG porous nanobeam are successfully discussed. It is concluded that these parameters play key roles on the dynamic behavior of porous FG curved nanobeam. Presented numerical results can serve as benchmarks for future analyses of curve FG nanobeam with porosity phases.