http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
계대핵치환에 의한 무미 양서류 종간핵치환개체의 발생수행능력 증진에 관한 연구
이자경,정해문 한국통합생물학회 1989 동물학회지 Vol.32 No.3
Nuclear Transplantation between Rana pipiens and Rana dybowskii When diploid blastula nuclei of Rana pipiens are traraplanted into enucleated eggs of Rana dybowskii the resulting nucleocytoplasmic hybrids are lethal-those development were arrested around the stage of the dorsal lip formation For the improvement of developmental capacity, serial nuclear transplantation was carried out. Even though serial transplantation of 15 generations showed normal development in each generation until gastrula stage, there was no sign of fundamental improvement in development afterward. This results implied that up to gastrulation normal DNA replication and cell division can take place in foreign cytoplasm. Since chromosomal aberrations both in shape and number were usually observed, the nuclei must have been modifted while resided in the foreign cytoplasm. Those nuclei didn't participate in normal development and led the embryos to early death. Tissue graft experiment indicated that the abnormal behavior of this lethal nucleocytoplasmic hybrid is an inherent property which is not corrected by the contact with its own tissue. 포배단계의 북미산 표범개구리 Rana pipiens의 핵을 북방산개구리 Rana dybowskii의 무핵 수정란에 이식하여 형성되는 nucleocytoplasmic hybrids 개체는 낭배운동을 전후하여 모두 치사한다. 치사조합 개체의 발생수행능력의 증진을 위하여 치사직전의 핵을 취하여 북방산개구리의 무핵 수정란에 계대핵치환 시킨 결과 제 1대 핵치환의 경우와 마찬가지로 낭배기를 전후하여 치사하는 것으로 나타나 발생수행능력의 커다란 증진은 관찰되지 않았다. 그러나 15대까지 계대핵치환이 진행되는 동안 초기낭배 까지의 발생은 일정비율로 진행되므로 영속적인 DNA의 복제와 세포분열은 가능한 것으로 나타났다. 한편 종간핵치환된 개체의 상당수에서 비정상적인 형태를 가진 염색체와 수에 이상이 일어났음이 관찰되었다. 이와 같은 염색체의 이상은 정상 개체로 이식된 조직이 치사되는 점으로 미루어 영구적인 변화로 보이며 이로 인한 비정상적인 유전자의 활동이 개체를 발생의 초기단계에서 치사시키는 것으로 사료된다.
이자경,최주성,김태형,김종우,Lee, Ja-Kyung,Choi, Ju-Sung,Kim, Tae-Hyung,Geem, Zong Woo 한국지반신소재학회 2022 한국지반신소재학회 논문집 Vol.21 No.2
Shear strength is the most important indicator in the evaluation of rock slope stability. It is generally estimated by comparing the results of existing literature data, back analysis, experiments and etc. There are additional variables related to the state of discontinuity to consider in the shear strength of the rock slope. It is difficult to determine whether these variables exist through drilling, and it is also difficult to find an exact relationship with shear strength. In this study, the data calculated through back analysis were used. The relationship between previously considered variables was applied to deep learning and the possibility for estimating shear strength of rock slope was explored. For comparison, an existing simple linear regression model and a deep learning algorithm, a deep neural network(DNN) model, were used. Although each analysis model derived similar prediction results, the explanatory power of DNN was improved with a small differences.