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유전 및 육종 : 단형질 개체모형을 이용한 한우 육종가 추정프로그램 개발
구양모 ( Yang Mo Koo ),김정일 ( Jung Il Kim ),송치은 ( Chi Eun Song ),이기환 ( Ki Hwan Lee ),신재영 ( Jae Young Shin ),장현기 ( Hyun Gi Jang ),최태정 ( Tae Jeong Choi ),김시동 ( Di Dong Kim ),박병호 ( Byoung Ho Park ),조광현 ( Kwa 한국동물자원과학회(구 한국축산학회) 2013 한국축산학회지 Vol.55 No.5
Estimate breeding value can be used as single trait animal model was developed directly using the Fortran language program. The program is based on data computed by using the indirect method repeatedly. The program develops a common algorithm and imprves efficiency. Algorithm efficiency was compared between the two programs. Estimated using the solution is easy to farm and brand the service, pedigree data base was associated with the development of an improved system. The existing program that uses the single trait animal model and the comparative analysis of efficiency is weak because the estimation of the solution and the conventional algorithm programmed through regular formulation involve many repetition; therefore, the newly developed algorithm was conducted to improve speed by reducing the repetition. Single trait animal model was used to analyze Gauss-Seidel iteration method, and the aforesaid two algorithms were compared thorough the mixed model equation which is used the most commonly in estimating the current breeding value by applying the procedures such as the preparation of information necessary for modelling, removal of duplicative data, verifying the parent information of based population in the pedigree data, and assigning sequential numbers, etc. The existing conventional algorithm is the method for reading and recording the data by utilizing the successive repetitive sentences, while new algorithm is the method for directly generating the left hand side for estimation based on effect. Two programs were developed to ensure the accurate evaluation. BLUPF90 and MTDFREML were compared using the estimated solution. In relation to the pearson and spearman correlation, the estimated breeding value correlation coefficients were highest among all traits over 99.5%. Depending on the breeding value of the high correlation in Model Ⅰ and Model Ⅱ, accurate evaluation can be found. The number of iteration to convergence was 2,568 in Model Ⅰ and 1,038 in Model Ⅱ. The speed of solving was 256.008 seconds in Model Ⅰ and 235.729 seconds in Model Ⅱ. Model Ⅱ had a speed of approximately 10% more than Model Ⅰ. Therefore, it is considered to be much more effective to analyze large data through the improved algorithm than the existing method. If the corresponding program is systemized and utilized for the consulting of farm and industrial services, it would make contribution to the early selection of individual, shorten the generation, and cultivation of superior groups, and help develop the Hanwoo industry further through the improvement of breeding value based enhancement, ultimately paving the way for the country to evolve into an advanced livestock country.
Semantic Segmentation을 이용한 구름 분석 기술 기반, 일사량 및 태양광 발전량 예측 기술
이다훈(Da-Hun Lee),고디모데(Di-Mo-De Go),김현우(Hyun-Woo Kim) 대한전자공학회 2020 대한전자공학회 학술대회 Vol.2020 No.11
As interest in solar power generation increases, solar power generation facilities and power generation are also increasing. Estimating the amount of power generated in energy generation is essential. However, in the case of solar power generation, it is difficult to predict the amount of radiation or power generation because it is greatly affected by the atmospheric environment. In this paper, to solve this problem, SKY images are acquired through an IP camera equipped with fisheye lens. After that, the image is analyzed using the segmentation method to obtain cloud information. We propose a system that predicts the amount of radiation and generation by using the obtained information as an input value of the LSTM algorithm. In particular, it was confirmed that when cloud information was obtained by the segmentation method, the accuracy was higher than that of the previously used methods. From the data obtained after that, it was confirmed that the error rate was within 10% in predicting the amount of radiation and power generation through LSTM.
Jianyou Long,Gutha Yuvaraja,Shuyi Zhou,Jianying Mo,Huosheng Li,Dinggui Luo,Di Yun Chen,Lingjun Kong,Munagapati Venkata Subbaiah,Guda Mallikarjuna Reddy 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.72 No.-
In this study, two Fusarium strains namely ZSY and MJY were successfully isolated from the contaminatedsoil of Dabaoshan smelter in Shaoguan City, and utilised as a biosorbent for the removal of Pb(II) ions fromaqueous solution. Effect of pH (6), agitation speed (150 rpm), biomass concentration (1 g/L), initial Pb(II)concentration, contact time (60 min), and effect of temperature (323 K) was investigated. Kinetic andisotherm results showed that the removal of Pb(II) ions onto ZSY and MJY werefitted well with thepseudo-second-order and Langmuir isotherm models (232.56 and 263.16 mg/g). In addition thermodynamicstudies were also discussed.
Who drops out from primary schools in China? Evidence from minority-concentrated rural areas
Meichen Lu,Manlin Cui,Yaojiang Shi,Fang Chang,Di Mo,Scott Rozelle,Natalie Johnson 서울대학교 교육연구소 2016 Asia Pacific Education Review Vol.17 No.2
One of the Millennium Development Goals is to ensure universal access to primary education by 2015. However, primary school dropout remains a challenge in many developing countries. While official statistics in China report aggregated primary school dropout of only 0.2 %, almost no independent, survey-based studies have sought to verify these dropout rates in rural areas. The primary objective of our study is to document the dropout rate in primary schools in rural China and compare the dropout rate of ethnic minorities and Han students. Using a first-hand dataset of 14,761 primary students in northwest China, we demonstrate that the annual dropout rate in poor rural areas is 2.5 %, suggesting a cumulative dropout of 8.2 %. Importantly, Hui and Salar minority students drop out at rates that are significantly higher than the official rates. Most noteworthy, 23 % of Hui girls and 22 % of Salar girls are dropping out by the end of grade 6. Our findings call for more attention to China’s primary school dropout issue—especially in minority areas. Policymakers should begin to examine new ways to increase the chances for minority students to succeed in the educational system.
Lee, Jin-Wook,Dai, Zhenghong,Lee, Changsoo,Lee, Hyuck Mo,Han, Tae-Hee,De Marco, Nicholas,Lin, Oliver,Choi, Christopher S.,Dunn, Bruce,Koh, Jaekyung,Di Carlo, Dino,Ko, Jeong Hoon,Maynard, Heather D.,Ya American Chemical Society 2018 JOURNAL OF THE AMERICAN CHEMICAL SOCIETY - Vol.140 No.20
<P>The Lewis acid-base adduct approach has been widely used to form uniform perovskite films, which has provided a methodological base for the development of high-performance perovskite solar cells. However, its incompatibility with formamidinium (FA)-based perovskites has impeded further enhancement of photovoltaic performance and stability. Here, we report an efficient and reproducible method to fabricate highly uniform FAPbI<SUB>3</SUB> films via the adduct approach. Replacement of the typical Lewis base dimethyl sulfoxide (DMSO) with <I>N</I>-methyl-2-pyrrolidone (NMP) enabled the formation of a stable intermediate adduct phase, which can be converted into a uniform and pinhole-free FAPbI<SUB>3</SUB> film. Infrared and computational analyses revealed a stronger interaction between NMP with the FA cation than DMSO, which facilitates the formation of a stable FAI·PbI<SUB>2</SUB>·NMP adduct. On the basis of the molecular interactions with different Lewis bases, we proposed criteria for selecting the Lewis bases. Owed to the high film quality, perovskite solar cells with the highest PCE over 20% (stabilized PCE of 19.34%) and average PCE of 18.83 ± 0.73% were demonstrated.</P> [FIG OMISSION]</BR>
Zhang, Cheng-Dong,Li, Hong-Tao,Liu, Kun,Lin, Zhi-Di,Peng, Qi-Liu,Qin, Xue,He, Min,Wu, Hua,Mo, Zeng-Nan,Yang, Xiao-Li Asian Pacific Journal of Cancer Prevention 2014 Asian Pacific journal of cancer prevention Vol.15 No.18
Background: Despite evidence suggesting roles for caspase-8 (CASP8) -652 6N del and D302H polymorphisms in prostate cancer (PCa), the association of these polymorphisms with PCa risk remains inconclusive. Therefore, a meta-analysis was performed to more precisely estimate the association of CASP8 -652 6N del and D302H polymorphisms with PCa susceptibility. Materials and Methods: A comprehensive literature search was conducted to identify all case-control studies of CASP8 D302H and -652 6N del polymorphisms and PCa risk. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of the association and the precision of the estimate, respectively. Results: Nine -625 6N del studies and 4 D302H studies were included. CASP8 -652 6N del and D302H polymorphisms were not significantly associated with PCa risk in the overall analyses. However, in the subgroup analysis stratified by ethnicity, -625 6N del was significantly associated with PCa risk in the East Asian and Indian populations under the recessive model. Furthermore, the subgroup analysis strongly suggested that D302H was associated with lower PCa risk in the Non-Indian population under the dominant model. Conclusions: In our meta-analysis, ethnic-specific differences were evident in the association of CASP8-625 6N del and D302H polymorphisms with PCa risk.