• Child Health Nursing Research
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• 제15권1호
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• pp.42-52
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• 2009

Child is a being and provides the genetic continuity of parents and society, and therefore the fitness of these children for survival, growth and development towards reproduction, is of significance to parents and society. The aim of health care for high-risk children is not only to minimize or eliminate health problems, but also to optimize their fitness. Considering that the health care of children is influenced by available resources of parents and society, and sociocultural values and paradigms in a given environment of evolutionary adaptedness (EEA), child health care professionals need to understand factors affecting the optimal fitness of children with risks. This paper introduces a new integrated theory for health care in high-risk children, entitled, Health for Optimal Fitness of High-Risk Children. Five main components were identified with associate concepts or midrange theories affecting heath for optimal fitness of high-risk children; EEA, optimal fitness, health problems, investment resources, and anthropological values. It may provide an integrated perspective on health of high-risk children in both the proximately biomedical approach and ultimately evolutionary approach as optimizing their fitness. Further study is needed to develop substantial statements between components with existential examples.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2019년도 추계학술대회
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• pp.8-8
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• 2019

The stringent response (SR) is characterized as a bacterial defense mechanism in response to various growth-inhibiting stresses. It is activated by accumulation of a small nucleotide regulator, (p)ppGpp, and induces global changes in bacterial transcription and translation. Recent work from our group has shown that (p)ppGpp plays a critical role in virulence and survival in Vibrio cholerae. The genes, relA and relV, are involved in the production of (p)ppGpp, while the spoT gene encodes an enzyme that hydrolyzes it in V. cholerae. A mutant strain defective in (p)ppGpp production (i.e. ${\Delta}relA{\Delta}relV{\Delta}spoT$ mutant) lost the ability to produce cholera toxin (CT) and lost their viability due to uncontrolled production of organic acids, when grown with extra glucose. In contrast, the ${\Delta}relA{\Delta}spoT$ mutant, a (p)ppGpp overproducer strain, produced enhanced level of CT and exhibited better growth in glucose supplemented media via glucose metabolic switch from organic fermentation to acetoin, a neutral fermentation end product, fermentation. These findings indicates that (p)ppGpp, in addition to its well-known role as a SR mediator, positively regulates CT production and maintenance of growth fitness in V. cholerae. This implicates SR as a promising drug target, inhibition of which may possibly downregulate V. cholerae virulence and survival fitness. Therefore, we screened a chemical library and identified a compound that induces medium acidification (termed iMAC) and thereby loss of wild type V. cholerae viability under glucose-rich conditions. Further, we present a potential mechanism by which the compound inhibits (p)ppGpp accumulation. Together, these results indicate that iMAC treatment causes V. cholerae cells to produce significantly less (p)ppGpp, an important regulator of the bacterial virulence and survival response, and further suggesting that it has a therapeutic potential to be developed as a novel antibacterial agent against cholera.

• 한국융합학회논문지
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• 제10권6호
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• pp.235-242
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• 2019

최근 딥러닝을 비롯한 인공지능 기술의 활용이 다양한 분야에서 활발해지고 있으며, 특히 딥러닝 기술 기반의 객체 인식 및 검출에 뛰어난 성능을 보이는 여러 알고리즘들이 발표되고 있다. 이에 본 논문에서는 사용자의 편의성이 효과적으로 반영된 모바일 헬스케어 애플리케이션 구현에 대한 적절한 방향성을 제시하고자 한다. 기존의 피트니스 애플리케이션들에 대한 이용 만족도 연구 및 모바일 헬스케어 애플리케이션에 대한 현황을 파악하여, 이로부터 피트니스 애플리케이션 시장에서의 생존과 우위를 확보하는 동시에, 최근 주목 받고 있는 인공지능 기술의 효과적인 적용에 의한 성능 개선을 통해 기존 이용자 유지 및 확대를 도모하고자 한다.

• 생물정신의학
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• 제23권4호
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• pp.123-129
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• 2016

Depression has a relatively high lifetime prevalence rate in spite of a genetic influence on its etiology and a high mortality rate in untreated cases. This suggests the possibility that depression gives us evolutionary benefits which we do not exactly know yet. There have been several hypotheses which tell us what evolutionary advantages depression could give us. The psychic pain hypothesis considers sad or depressed mood as a negative reward just like physical pain which we have to avoid for our protection and survival. The social rank hypothesis holds that depressed mood is very similar to the emotional state of the defeated in social competition which prevents him from further protesting or fighting that might cause additional damage to him. The inclusive fitness hypothesis views suicide as a sacrifice phenomenon to contribute to inclusive fitness. These hypotheses gives us new insights into mood disorders and also some suggestions about the conditions in which depressed mood or suicidal behaviors increase and the ways to reduce them.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 추계종합학술대회 논문집(3)
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• pp.9-12
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• 2000

Genetic algorithm is a searching method which based on the law of the survival of the fittest. Multi-population Genetic Algorithm is a modified form of Genetic Algorithm, which was devised for covering the defect of general genetic algorithm. The core of multi-population genetic algorithm is said to be the migration schemes. The fitness-based migration scheme and the random migration scheme are currently used. In this paper, a new migration scheme, ‘the migration scheme between groups’, is suggested, and compared to the general two migration schemes.

• 한국체육학회지인문사회과학편
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• 제54권4호
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• pp.439-452
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• 2015

본 연구의 목적은 한국사회의 베이비붐 세대 여성의 운동문화의 함축적 의미를 찾는 데 있다. 전통적으로 여성은 유교사상과 함께 온화하게 좁은 보폭으로 걷고, 활발하게 달릴 수 없었다. 그러나 현대 한국사회에서 운동인구의 증가와 함께 많은 중년여성들이 운동에 참여하고 있다. 본 연구에서는 중년여성 중에서도 특히, 1955~1963년생으로 고등교육의 첫 세대인 베이비붐 여성 세대에 주목하여, 세 명의 구술생애사인터뷰를 중심으로 생애전반에 이루어졌던 운동에 대한 문화이해를 시도하고자 하였다. 이러한 결과로 놀이로써의 운동, 강요된 수업, 강화된 모성성, 성역할 수행을 위한 생존체력, 노후를 위한 준비 등의 특징을 이해할 수 있었다. 또한 운동문화연구에서 구술생애사인터뷰는 여성 삶의 역동적인 맥락을 발견하게 하며, 여성자신의 목소리가 얼마나 중요한가를 인식하게 한다.

• Asian Pacific Journal of Cancer Prevention
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• 제16권17호
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• pp.7923-7927
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• 2015

Background: The Cox PH model is one of the most significant statistical models in studying survival of patients. But, in the case of patients with long-term survival, it may not be the most appropriate. In such cases, a cure rate model seems more suitable. The purpose of this study was to determine clinical factors associated with cure rate of patients with breast cancer. Materials and Methods: In order to find factors affecting cure rate (response), a non-mixed cure rate model with negative binomial distribution for latent variable was used. Variables selected were recurrence cancer, status for HER2, estrogen receptor (ER) and progesterone receptor (PR), size of tumor, grade of cancer, stage of cancer, type of surgery, age at the diagnosis time and number of removed positive lymph nodes. All analyses were performed using PROC MCMC processes in the SAS 9.2 program. Results: The mean (SD) age of patients was equal to 48.9 (11.1) months. For these patients, 1, 5 and 10-year survival rates were 95, 79 and 50 percent respectively. All of the mentioned variables were effective in cure fraction. Kaplan-Meier curve showed cure model's use competence. Conclusions: Unlike other variables, existence of ER and PR positivity will increase probability of cure in patients. In the present study, Weibull distribution was used for the purpose of analysing survival times. Model fitness with other distributions such as log-N and log-logistic and other distributions for latent variable is recommended.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제6권5호
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• pp.1333-1353
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• 2012

The robustness of a network is usually measured by error tolerance and attack vulnerability. Significant research effort has been devoted to determining the network design with optimal robustness. However, little attention has been paid to the problem of how to improve the robustness of existing networks. In this paper, we investigate how to optimize attack tolerance and communication efficiency of an existing network under the limited link addition. A survival fitness metric is defined to measure both the attack tolerance and the communication efficiency of the network. We show that network topology reconfiguration optimization with limited link addition (NTRLA) problem is NP-hard. Two approximate solution methods are developed. First, we present a degree-fitness parameter to guide degree-based link addition method. Second, a preferential configuration node-protecting cycle (PCNC) method is developed to do trade-off between network robustness and efficiency. The performance of PCNC method is demonstrated by numerical experiments.

• 한국정밀공학회지
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• 제14권12호
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• pp.24-29
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• 1997

Recently, Genetic Algorithm(GA), which is a stochastic direct search strategy that mimics the process of genetic evolution, is widely adapted into a search procedure for structural optimization. Contrast to traditional optimal design techniques which use design sensitivity analysis results, GA is very simple in their algorithms and there is no need of continuity of functions(or functionals) any more in GA. So, they can be easily applicable to wide area of design optimization problems. Also, owing to multi-point search procedure, they have higher porbability of convergence to global optimum compared to traditional techniques which take one-point search method. The methods consist of three genetics opera- tions named selection, crossover and mutation. In this study, a method of finding the omtimum size and topology of drilling machine is proposed by using the GA, For rapid converge to optimum, elitist survival model,roulette wheel selection with limited candidates, and multi-point shuffle cross-over method are adapted. And pseudo object function, which is the combined form of object function and penalty function, is used to include constraints into fitness function. GA shows good results of weight reducing effect and convergency in optimal design of drilling machine.

• Journal of Plant Biotechnology
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• 제49권1호
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• pp.46-60
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• 2022

The genetic variability and population structure of apple mosaic virus (ApMV) have been studied; however, synonymous codon usage patterns influencing the survival rates and fitness of ApMV have not been reported. Based on phylogenetic analyses of 52 ApMV coat protein (CP) sequences obtained from apple, pear, and hazelnut, ApMV isolates were clustered into two groups. High molecular diversity in GII may indicate their recent expansion. A constant and conserved genomic composition of the CP sequences was inferred from the low codon usage bias. Nucleotide composition and relative synonymous codon usage (RSCU) analysis indicated that the ApMV CP gene is AU-rich, but G- and U-ending codons are favored while coding amino acids. This unequal use of nucleotides together with parity rule 2 and the effective number of codon (ENC) plots indicate that mutation pressure together with natural selection drives codon usage patterns in the CP gene. However, in this combination, selection pressure plays a more crucial role. Based on principal component analysis plots, ApMV seems to have originated from apple trees in Europe. However, according to the relative codon deoptimization index and codon adaptation index (CAI) analyses, ApMV exhibited the greatest fitness to hazelnut. As inferred from the results of the similarity index analysis, hazelnut has a major role in shaping ApMV RSCU patterns, which is consistent with the CAI analysis results. This study contributes to the understanding of plant virus evolution, reveals novel information about ApMV evolutionary fitness, and helps find better ApMV management strategies.