• Title/Summary/Keyword: Random yield

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Characteristics and breeding of a new cultivar Pleurotus eryngii var. ferulae, 'Beesan No.1' (아위느타리 신품종 '비산1호'의 육성 및 자실체 특성)

  • Shin, Pyung-Gyun;Yoo, Young-Bok;Kong, Won-Sik;Oh, Youn-Lee
    • Journal of Mushroom
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    • v.12 no.1
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    • pp.52-57
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    • 2014
  • To develop a new cultivar of King oyster mushroom white variety (Pleurotus ferulae), GW10-95 as parental strain was selected by the method of Di-mon crossing between monokaryotic strain ASI 2850-24 derived from ASI 2850 and dikaryotic strain ASI 2803. The GW10-95(ASI 2803 ${\times}$ ASI 2850-24) was shown the best cultural characteristics, selected to be a new cultivar and designed as 'Beesan No.1'. The 'Beesan No.1' was formed incompatibility line distinctly in the confrontation growth of parental strains ASI 2803 and ASI 2850. Analysis of the genetic characteristics of the new cultivar 'Beesan No.1' showed a different DNA profile as that of the control strains, ASI 2803 and ASI 2850, when RAPD(Random Amplified Polymorphic DNA) primer URP6 was used. The optimum temperature and pH arrange for mycelial growth were $25^{\circ}C$ and pH5~8, respectively. Fruiting body production per bottle was about 245 g using demonstration farms. And also the stipe was thick and long. This new cultivar 'Beesan No.1' of Pleurotus ferulae was characterized by fast fruitbody formation, the stipe was thick and long and high quality yield compared to that of other cultuvars. We therefore expect that this new strain will increase of farmer's income by construction of stabilized production system.

Relationship between Nutritional Status and Transferable Embryos in Hanwoo Donors (한우 공란우의 영양 상태와 이식 가능 수정란과의 관계)

  • Jung, Yeon-Sub;Choe, Chang-Yong;Cho, Sang-Rae;Lim, Hyun-Joo;Yoon, Ho-Baek;Baek, Kwang-Soo;Kwon, Eung-Gi;Son, Dong-Soo;Son, Jun-Kyu
    • Journal of Embryo Transfer
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    • v.27 no.1
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    • pp.15-20
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    • 2012
  • The objective of this study was to investigate the relationship between body weight, body condition score (BCS), blood urea nitrogen (BUN), glucose, cholesterol and number of transferable embryos for the purpose of improving reproductive performance in Hanwoo donors. Seventy five cows, at random stages of the estrous cycle, received a CIDR together with injection of 1mg estradiol benzoate and 50 mg progesterone, and gonadotropin treatment begann. Four days later, the animals were superovulated with a total of 28AU FSH (Antorin, 2AU = 1 ml) administered twice daily in constant doses over 4 days. On the 3rd administration of FSH, CIDR was withdrawn and 25 mg $PGF_2{\alpha}$ was administered. Cows were artificially inseminated twice after estrous detection at 12 hr intervals. The cows received $100{\mu}g$ GnRH at the time of 1st insemination. Embryos were recovered 7 days after the 1st insemination. In conclusion, cows with body weight < 400, 400~450 and > 450kg had number of transferable embryos of $4.2{\pm}1.7$, $6.1{\pm}2.7$ and $4.8{\pm}2.6$, cows with BCS <2.25, 2.25~2.75 and ${\geq}2.75$ had number of transferable embryos of $4.6{\pm}1.6$, $5.7{\pm}2.4$ and $5.1{\pm}2.7$ respectively. These data indicate that a body weight and BCS for superovulation of CIDR-treated Korean native cows does not affect the embryo yield.

Solid-phase PEGylation for Site-Specific Modification of Recombinant Interferon ${\alpha}$-2a : Process Performance, Characterization, and In-vitro Bioactivity (재조합 인터페론 알파-2a의 부위 특이적 수식을 위한 고체상 PEGylation : 공정 성능, 특성화 및 생물학적 활성)

  • Lee, Byung-Kook;Kwon, Jin-Sook;Lee, E.K.
    • KSBB Journal
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    • v.21 no.2
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    • pp.133-139
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    • 2006
  • In 'solid-phase' PEGylation, the conjugation reaction occurs as the proteins are attached to a solid matrix, and thus it can have distinct advantages over the conventional, solution-phase process. We report a case study: rhIFN-${\alpha}$-2a was first adsorbed to cation exchange resin and then N-terminally PEGylated by aldehyde mPEG of 5, 10, and 20 kD through reductive alkylation. After the PEGylation, salt gradient elution efficiently recovered the mono-PEGylate in a purified form from the unwanted species such as unmodified IFN, unreacted PEG, and others. The mono-PEGylation and its purification were integrated in a single chromatographic step. Depending on the molecular weight of the mPEG aldehyde used, the mono-PEGylation yield ranged 50-64%. We could overcome the major problems of random, or uncontrollable, multi-PEGylation and the post-PEGylation purification difficulties associated with the solution-phase process. N-terminal sequencing and MALDI-TOF MS confirmed that a PEG molecule was conjugated only to the N-terminus. Compared with the unmodified IFN, the mono-PEGylate showed the reduced anti-viral activity as measured by the cell proliferation assay. The bioactivity was reduced more as the higher molecular weight PEG was conjugated. Immunoreactivity, evaluated indirectly by antibody binding activity using a surface plasmon resonance biosensor, also decreased. Nevertheless, trypsin resistance as well as thermal stability was considerably improved.

Enhanced Expression and Substrate Specificity Changes of Barley $\alpha$-Amylase Isozyme 2 in E. coli by Substitution of the $42^{nd}$ Alanine Residue with Proline (42번째 alanine 잔기의 proline 치환에 의한 보리 $\alpha$-amylase isozyme 2의 대장균 내 발현 증가 및 기질특이성 변화)

  • Choi, Seung-Ho;Jang, Myoung-Uoon;Lee, Hong-Gyun;Svensson, Birte;Kim, Tae-Jip
    • Korean Journal of Food Science and Technology
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    • v.42 no.2
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    • pp.198-203
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    • 2010
  • Although barley $\alpha$-amylase isozyme 1 (AMY1) and 2 (AMY2) share up to 80% of amino acid sequence identity, their enzymatic properties differ remarkably. In this study, the 42nd alanine residue of AMY2 was replaced with another random amino acid via saturation mutagenesis. Eight out of 370 recombinant E. coli cells showing enhanced starch-hydrolyzing activity were characterized as possessing the same proline residue instead of alanine. Even though the specific activity of AMY2-A42P is reduced to 81% of wild-type, its expression level and purification yield were enhanced by approximately 2 and 4 times that of AMY2, respectively. Characterization of its enzymatic properties confirmed that AMY2-A42P is similar to that of wild-type. However, its specificity to starch substrates is likely to be intermediate between AMY1 and AMY2.

Development of Cleaved Amplified Polymorphic Sequence (CAPS) Marker for Selecting Powdery Mildew-Resistance Line in Strawberry (Fragaria×ananassa Duchesne) (딸기 흰가루병 저항성 계통 선발을 위한 분자마커 개발)

  • Je, Hee-Jeong;Ahn, Jae-Wook;Yoon, Hae-Suk;Kim, Min-Keun;Ryu, Jae-San;Hong, Kwang-Pyo;Lee, Sang-Dae;Park, Young-Hoon
    • Horticultural Science & Technology
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    • v.33 no.5
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    • pp.722-729
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    • 2015
  • Powdery mildew (PM) caused by Podosphaera aphanis is a major disease that can result in significant yield losses in strawberry (Fragaria ${\times}$ ananassa Duchesne). For preventing PM, pesticides are usually applied in strawberry. In this study, molecular markers were developed to increase breeding efficiency of PM-resistance cultivars by marker-assisted selection (MAS). An $F_2$ population derived from a cross between PM-resistance 'Seolhyang' and PM-susceptibility 'Akihime' was evaluated for disease resistance to PM and RAPD (random amplification of polymorphic DNA)-BSA (bulked segregant analysis). Among 200 RAPD primers tested, OPE10 primer amplified a 311bp-band present in with 331bp. Sequence alignment performed for searching polymorphisms and six single nucleotide polymorphism (SNP) were found in amplified regions. To develop polymorphic marker for distinguishing between resistant and susceptible, RAPD was converted to cleaved amplified polymorphic sequence (CAPS) marker. Among restriction enzymes associated with six SNPs, Eae I (Y/GGCCR) was successfully digested to 231bp in susceptible. The results suggest that the selected CAPS marker could be used for increasing efficiency of selecting powdery mildew resistant strawberry in breeding system.

A Comparative Analysis of Ensemble Learning-Based Classification Models for Explainable Term Deposit Subscription Forecasting (설명 가능한 정기예금 가입 여부 예측을 위한 앙상블 학습 기반 분류 모델들의 비교 분석)

  • Shin, Zian;Moon, Jihoon;Rho, Seungmin
    • The Journal of Society for e-Business Studies
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    • v.26 no.3
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    • pp.97-117
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    • 2021
  • Predicting term deposit subscriptions is one of representative financial marketing in banks, and banks can build a prediction model using various customer information. In order to improve the classification accuracy for term deposit subscriptions, many studies have been conducted based on machine learning techniques. However, even if these models can achieve satisfactory performance, utilizing them is not an easy task in the industry when their decision-making process is not adequately explained. To address this issue, this paper proposes an explainable scheme for term deposit subscription forecasting. For this, we first construct several classification models using decision tree-based ensemble learning methods, which yield excellent performance in tabular data, such as random forest, gradient boosting machine (GBM), extreme gradient boosting (XGB), and light gradient boosting machine (LightGBM). We then analyze their classification performance in depth through 10-fold cross-validation. After that, we provide the rationale for interpreting the influence of customer information and the decision-making process by applying Shapley additive explanation (SHAP), an explainable artificial intelligence technique, to the best classification model. To verify the practicality and validity of our scheme, experiments were conducted with the bank marketing dataset provided by Kaggle; we applied the SHAP to the GBM and LightGBM models, respectively, according to different dataset configurations and then performed their analysis and visualization for explainable term deposit subscriptions.

Risk Factors for COVID-19 Infection Among Healthcare Workers. A First Report From a Living Systematic Review and meta-Analysis

  • Dzinamarira, Tafadzwa;Nkambule, Sphamandla Josias;Hlongwa, Mbuzeleni;Mhango, Malizgani;Iradukunda, Patrick Gad;Chitungo, Itai;Dzobo, Mathias;Mapingure, Munyaradzi Paul;Chingombe, Innocent;Mashora, Moreblessing;Madziva, Roda;Herrera, Helena;Makanda, Pelagia;Atwine, James;Mbunge, Elliot;Musuka, Godfrey;Murewanhema, Grant;Ngara, Bernard
    • Safety and Health at Work
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    • v.13 no.3
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    • pp.263-268
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    • 2022
  • Health care workers (HCWs) are more than ten times more likely to be infected with coronavirus infectious disease 2019 (COVID-19) than the general population, thus demonstrating the burden of COVID-19 among HCWs. Factors that expose HCWs to a differentially high-risk of COVID-19 acquisition are important to elucidate, enable appropriate public health interventions to mitigate against high risk and reduce adverse outcomes from the infection. We conducted a systematic review and meta-analysis to summarize and critically analyze the existing evidence on SARS-CoV-2 risk factors among HCWs. With no geographical limitation, we included studies, in any country, that reported (i) the PCR laboratory diagnosis of COVID-19 as an independent variable (ii) one or more COVID-19 risk factors among HCWs with risk estimates (relative risk, odds ratio, or hazard ratio) (iii) original, quantitative study design, and published in English or Mandarian. Our initial search resulted in 470 articles overall, however, only 10 studies met the inclusion criteria for this review. Out of the 10 studies included in the review, inadequate/lack of protective personal equipment, performing tracheal intubation, and gender were the most common risk factors of COVID-19. Based on the random effects adjusted pooled relative risk, HCWs who reported the use of protective personal equipment were 29% (95% CI: 16% to 41%) less likely to test positive for COVID-19. The study also revealed that HCWs who performed tracheal intubations were 34% (95% CI: 14% to 57%) more likely to test positive for COVID-19. Interestingly, this study showed that female HCWs are at 11% higher risk (RR 1.11 95% CI 1.01-1.21) of COVID-19 than their male counterparts. This article presents initial findings from a living systematic review and meta-analysis, therefore, did not yield many studies; however, it revealed a significant insight into better understanding COVID-19 risk factors among HCWs; insights important for devising preventive strategies that protect them from this infection.

Dissolution Monitoring of Geo-Soluble Mixtures (지반 소실 혼합재의 용해과정 모니터링)

  • Truong, Q. Hung;Byun, Yong-Hoon;Eom, Yong-Hun;Sim, Young-Jong;Lee, Jong-Sub
    • Journal of the Korean Geotechnical Society
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    • v.25 no.10
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    • pp.111-122
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    • 2009
  • Dissolution of some of geo-materials may yield the loss of the soil strength and the settlement of earth structures. The goal of this study is to monitor the several physical behaviors of soluble mixtures during dissolution. Sand-salt mixtures are used to monitor the meso to macro response including the settlements and shear waves. The mixtures of photoelastic and ice disks are used to monitor micro to meso behavior of soluble mixture including the void ratio, force chain, coordination number and horizontal force changes. In the sand-salt mixtures, shear waves are measured by using bender elements in conventional oedometer cells. In the photoelastic disk - ice disk mixtures, micro to meso response are measured by digital images and load cells. The shear wave velocity decreases at the initial stage of the dissolution, and then increases and approaches to asymptotic value. The larger dissoluble particle and the more random packing produces the severe horizontal fore change. After dissolution, the void increases and the coordination number decreases. This study demonstrates that the particle level behavior such as the changes of the force chain, void ratio, and coordination number affects the global behavior such as the change of the shear wave velocity and horizontal force of the system.

Development of a Stochastic Precipitation Generation Model for Generating Multi-site Daily Precipitation (다지점 일강수 모의를 위한 추계학적 강수모의모형의 구축)

  • Jeong, Dae-Il
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.5B
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    • pp.397-408
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    • 2009
  • In this study, a stochastic precipitation generation framework for simultaneous simulation of daily precipitation at multiple sites is presented. The precipitation occurrence at individual sites is generated using hybrid-order Markov chain model which allows higher-order dependence for dry sequences. The precipitation amounts are reproduced using Anscombe residuals and gamma distributions. Multisite spatial correlations in the precipitation occurrence and amount series are represented with spatially correlated random numbers. The proposed model is applied for a network of 17 locations in the middle of Korean peninsular. Evaluation statistics are reported by generating 50 realizations of the precipitation of length equal to the observed record. The analysis of results show that the model reproduces wet day number, wet and dry day spell, and mean and standard deviation of wet day amount fairly well. However, mean values of 50 realizations of generated precipitation series yield around 23% Root Mean Square Errors (RMSE) of the average value of observed maximum numbers of consecutive wet and dry days and 17% RMSE of the average value of observed annual maximum precipitations for return periods of 100 and 200 years. The provided model also reproduces spatial correlations in observed precipitation occurrence and amount series accurately.

A Comparative Study on Mapping and Filtering Radii of Local Climate Zone in Changwon city using WUDAPT Protocol (WUDAPT 절차를 활용한 창원시의 국지기후대 제작과 필터링 반경에 따른 비교 연구)

  • Tae-Gyeong KIM;Kyung-Hun PARK;Bong-Geun SONG;Seoung-Hyeon KIM;Da-Eun JEONG;Geon-Ung PARK
    • Journal of the Korean Association of Geographic Information Studies
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    • v.27 no.2
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    • pp.78-95
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    • 2024
  • For the establishment and comparison of environmental plans across various domains, considering climate change and urban issues, it is crucial to build spatial data at the regional scale classified with consistent criteria. This study mapping the Local Climate Zone (LCZ) of Changwon City, where active climate and environmental research is being conducted, using the protocol suggested by the World Urban Database and Access Portal Tools (WUDAPT). Additionally, to address the fragmentation issue where some grids are classified with different climate characteristics despite being in regions with homogeneous climate traits, a filtering technique was applied, and the LCZ classification characteristics were compared according to the filtering radius. Using satellite images, ground reference data, and the supervised classification machine learning technique Random Forest, classification maps without filtering and with filtering radii of 1, 2, and 3 were produced, and their accuracies were compared. Furthermore, to compare the LCZ classification characteristics according to building types in urban areas, an urban form index used in GIS-based classification methodology was created and compared with the ranges suggested in previous studies. As a result, the overall accuracy was highest when the filtering radius was 1. When comparing the urban form index, the differences between LCZ types were minimal, and most satisfied the ranges of previous studies. However, the study identified a limitation in reflecting the height information of buildings, and it is believed that adding data to complement this would yield results with higher accuracy. The findings of this study can be used as reference material for creating fundamental spatial data for environmental research related to urban climates in South Korea.