• Journal of Ecology and Environment
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• 제29권5호
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• pp.479-484
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• 2006

Ecophysiological parameters of non-transgenic sweetpotato (NT) and transgenic sweetpotato (SSA) plants were compared to evaluate their resistance to multiple environmental stresses. Stomatal conductance and transpiration rate in NT plants decreased markedly from Day 6 after water was withheld, whereas those values in SSA plants showed relatively higher level during this period. Osmotic potential in SSA plants was reduced more negatively as leaf water potential decreased from Day 8 after dehydration treatment, while such reduction was not shown in NT plants under water stressed condition. SSA plants showed less membrane damage than in NT plants. As water stress and high light stress, were synchronously applied to NT and SSA plants maximal photochemical efficiency of PS II ($F_v/F_m$) in NT plants markedly decreased, while that in SSA plants was maintained relatively higher level. This trend of changes in $F_v/F_m$ between SSA plants and NT plants was more conspicuous as simultaneously treated with water stress, high light and high temperature stress. These results indicate that SSA plants are more resistive than NT plants to multiple environmental stresses and the enhanced resistive characteristics in SSA plants are based on osmotic adjustment under water stress condition and tolerance of membrane.

• Earthquakes and Structures
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• 제18권6호
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• pp.719-730
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• 2020

Recently, population based optimization algorithms are developed to deal with a variety of optimization problems. In this paper, the salp swarm algorithm (SSA) is dramatically enhanced and a new algorithm is named Enhanced Salp Swarm Algorithm (ESSA) which is effectively utilized in optimization problems. To generate the ESSA, an opposition-based learning and merit function methods are added to standard SSA to enhance both exploration and exploitation abilities. To have a clear judgment about the performance of the ESSA, firstly, it is employed to solve some mathematical benchmark test functions. Next, it is exploited to deal with engineering problems such as optimally designing the benchmark buildings equipped with multiple tuned mass damper (MTMD) under earthquake excitation. By comparing the obtained results with those obtained from other algorithms, it can be concluded that the proposed new ESSA algorithm not only provides very competitive results, but also it can be successfully applied to the optimal design of the MTMD.

• 한국ITS학회 논문지
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• 제18권5호
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• pp.100-111
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• 2019

기존의 선별역사분석(SSA)은 특정 역사를 통행하는 개별승객의 기종점간 연계통행수단정보를 미시적으로 분석하는 개념이다. 따라서 지하철 노선과 같은 거시적이고 통합적인 분석방안으로 기존 SSA를 활용하기에는 한계가 있다. 본 연구는 개별승객의 지하철 통행의 경로탐색을 통하여 노선연계OD를 구축하고 활용하는 방안을 검토한다. 우선 승객이 이용한 연계통행 수단에서 지하철 통행에 대하여 통행경로를 탐색하고 이를 SSA의 노선분석에 적용하는 개념을 제안한다. 이 개념은 기존 SSA에 비하여 개별승객의 완전한 통행경로정보가 특정역사에서 존재하기 때문에 역사를 통과하는 노선과 노선에 포함된 역사의 상반된 분석이 가능하다. 또한 특정역사에 대하여 접근하는 노선연계OD를 통합적으로 관찰하는 것이 허용된다. 개념적 이해를 위하여 서울메트로9호선을 대상으로 사례연구를 통하여 특정역사를 중심으로 노선연계 OD의 통합적 구축개념과 노선에 포함된 역사로 접근하는 통행의 거시적 특성을 시연한다.

• Journal of Plant Biotechnology
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• 제34권4호
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• pp.299-305
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• 2007

산화스트레스 유도성 SWPA2 프로모터 조절하에 항산화 효소 SOD와 APX 유전자를 동시에 엽록체에 발현시킨 형질전환 감자 (품종 수미)를 대상으로 methyl viologen (MV) 처리에 의해 유도되는 산화스트레스 내성을 잎절편체, 소식물체 및 식물체 수준에서 조사하였다. 잎 절편에 $3{\mu}M$ MV를 처리하였을 때 SSA 식물체의 잎절편체는 비형질전환 (NT) 식물체에 비해 40% 정도 상해를 적게 받았다. 소식물체 수준에서 MV에 의한 산화스트레스 내성을 조사하기 위하여 SSA감자 shoot을 $0.3{\mu}M$ MV 첨가 배지에 배양하였을 때 뿌리의 생장에서 내성이 나타났다. 또한 온실에서 4주 생장한 식물체에 $350{\mu}M$ MV를 처리하였을 경우에도 SSA 식물체는 NT 식물체에 비해 약 75% 손상을 적게 입은 것으로 나타내었다. 추후 SSA 식물체를 이용하여 건조, 고온 등의 복합재해에 내성을 분석이 진행되어야 할 것이며 그 결과 복합스트레스 내성 감자 품종 (수미)을 개발할 수 있을 것으로 기대한다.

• Journal of Plant Biotechnology
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• 제32권3호
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• pp.151-159
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• 2005

Injury caused by reactive oxygen species (ROS), known as oxidative stress, is one of the major damaging factors in plants exposed to environmental stress. Chloroplasts are specially sensitive to damage by ROS because electrons that escape from the photosynthetic electron transfer system are able to react with relatively high concentration of $O_2$ in chloroplasts. To cope with oxidative stress, plants have evolved an efficient ROS-scavenging enzymes such as superoxide dismutase (SOD) and ascorbate peroxidase (APX), and low molecular weight antioxidants including ascorbate, glutathione and phenolic compounds. To maintain the productivity of plants under the stress condition, it is possible to fortify the antioxidative mechanisms in the chloroplasts by manipulating the antioxidation genes. A powerful gene expression system with an appropriate promoter is key requisite for excellent stress-tolerant plants. We developed a strong oxidative stress-inducible peroxidase (SWPA2) promoter from cultured cells of sweetpotato (Ipomoea batatas) as an industrial platform technology to develop transgenic plants with enhanced tolerance to environmental stress. Recently, in order to develop transgenic sweetpotato (tv. Yulmi) and potato (Solanum tuberosum L. cv. Atlantic and Superior) plants with enhanced tolerance to multiple stress, the genes of both CuZnSOD and APX were expressed in chloroplasts under the control of an SWPA2 promoter (referred to SSA plants). As expected, SSA sweetpotato and potato plants showed enhanced tolerance to methyl viologen-mediated oxidative stress. In addition, SSA plants showed enhanced tolerance to multiple stresses such as temperature stress, drought and sulphur dioxide. Our results strongly suggested that the rational manipulation of antioxidative mechanism in chloroplasts will be applicable to the development of all plant species with enhanced tolerance to multiple environmental stresses to contribute in solving the global food and environmental problems in the 21st century.

• Coupled systems mechanics
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• 제13권1호
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• pp.1-19
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• 2024

The effectiveness of coupling with a bolted rim is assessed in this research using a newly designed optimization algorithm. The current study, which is provided here, evaluates 10 contemporary metaheuristic approaches for enhancing the coupling with bolted rim design problem. The algorithms used are particle swarm optimization (PSO), crow search algorithm (CSA), enhanced honeybee mating optimization (EHBMO), Harmony search algorithm (HSA), Krill heard algorithm (KHA), Pattern search algorithm (PSA), Charged system search algorithm (CSSA), Salp swarm algorithm (SSA), Big bang big crunch optimization (B-BBBCO), Gradient based Algorithm (GBA). The contribution of the paper isto optimize the coupling with bolted rim problem by comparing these 10 algorithms and to find which algorithm gives the best optimized result. These algorithm's performance is evaluated statistically and subjectively.

• Journal of Plant Biotechnology
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• 제31권2호
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• pp.109-113
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• 2004

산화스트레스에 내성을 지닌 형질전환 감자 식물체를 개발하기 위하여 산화스트레스에 의해 발현이 강하게 유도되는 SWPA2 프로모터에 CuZnSOD와 APX 유전자가 엽록체에서 동시에 발현되도록 연결한 형질전환 벡터 (pSSA-K)를 제작한 후 Agrobacterium 매개로 형질전환 하였다. 기관 발생 경로에 의해 kanamycin 저항성 식물체를 재분화 시킨후 Southern 분석으로 외래 유전자가 안정적으로 감자 게놈내로 삽입되었음을 확인하였다. 형질전환 감자 식물체의 잎 조직에 10$\mu$M methyl viologen을 처리하여 산화스트레스 내성 검정을 조사한 결과 형질전환체는 MV에 대해 강한 내성을 지님을 확인하였다. 내성을 보인 개체 중에서 환경스트레스에 대한 내성 조사를 위하여 품종별로 2 개체씩 선발하였다. 선발된 식물체는 건조, 고온 등의 여러 가지 환경스트레스 내성검정에 이용될 것이며 향후 복합재해 내성 감자 품종이 개발될 수 있을 것으로 기대한다.

• Journal of Information Technology Applications and Management
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• 제31권1호
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• pp.1-9
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• 2024

Predicting the spread of COVID-19 remains a challenge due to the complexity of the disease and its evolving nature. This study presents an integrated approach using the classic SIR model for infectious diseases, enhanced by the chemical master equation (CME). We employ a Monte Carlo method (SSA) to solve the model, revealing unique aspects of the SARS-CoV-2 virus transmission. The study, a first of its kind in Korea, adopts a step-by-step and complementary approach to model prediction. It starts by analyzing the epidemic's trajectory at local government levels using both basic and stochastic SIR models. These models capture the impact of public health policies on the epidemic's dynamics. Further, the study extends its scope from a single-infected individual model to a more comprehensive model that accounts for multiple infections using the jump SIR prediction model. The practical application of this approach involves applying these layered and complementary SIR models to forecast the course of the COVID-19 epidemic in small to medium-sized local governments, particularly in Gangnam-gu, Seoul. The results from these models are then compared and analyzed.