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      • KCI등재

        Deciphering genotype-by-environment interaction for targeting test environments and genotypes resistant to wheat stem rust disease

        Abate Fentaw,Mehari Hailay,Ahmed Seid,Odong Thomas,Rubaihayo Patrick 한국작물학회 2023 Journal of crop science and biotechnology Vol.26 No.5

        Stem rust disease (UG99) caused by the fungus Puccinia graminis f. sp. Tritici has a negative significant impact on the world’s wheat production. Host-plant resistance is the most efficient and practical strategy used for managing this disease, hence, breeding for stem rust resistance continues to be an integral part of the genetic improvement of wheat. Twenty-one wheat genotypes including advanced breeding lines, released varieties and a susceptible check (Morocco) were evaluated for their response to stem rust disease across 6 environments in Ethiopia. Genotypes (G), environment (E), and Genotype x environment interactions (GEI) were examined by biplot which partitioned the main effect into G, E, and GEI with significant levels (P ≤ 0.001) being obtained from final rust severity data. The results revealed that genotypes had contributed 58.92% of resistance variation followed by GEI and E with 28.68% and 3.97% of the total effects, respectively. AMMI biplot and GGE biplot techniques enabled us to identify two stable genotypes (G12 and G60) based on their performance across diverse environments, while G31 and G52 showed specifically good resistance performance on Debrezeit and Kulmsa testing environments. The GGE biplot method also identified Lay-Gaint as the ideal test environment with a high representative and better discriminative power for selecting durable rust-resistant genotypes, while Sali was the least desirable test environment. In addition, the GGE biplot analysis identified two distinct mega-environments (ME1 and ME2) for rust severity in Ethiopia.

      • SCIESCOPUS

        Internal curing effect of raw and carbonated recycled aggregate on the properties of high-strength slag-cement mortar

        Abate, Selamu Yihune,Song, Keum-Il,Song, Jin-Kyu,Lee, Bang Yeon,Kim, Hyeong-Ki Elsevier 2018 Construction and Building Materials Vol.165 No.-

        <P><B>Abstract</B></P> <P>The internal curing effect of raw and carbonated recycled aggregates on the properties of high-strength slag-cement mortar was investigated. First, the aggregates were characterized using different methods and their effects on the shrinkage, drying mass loss, non-evaporable water content, and compressive strength of the mortar were evaluated. Their incorporation reduced the shrinkage and improves non-evaporable water content, i.e., degree of hydration, with a slight reduction in compressive strength. Because of the carbonation of the aggregates, the mixtures incorporating carbonated aggregates show lesser improvements in non-evaporable water content and compressive strength than the ones with non-carbonated aggregates. However, the shrinkage property was better improved by the incorporation of the carbonated ones.</P> <P><B>Highlights</B></P> <P> <UL> <LI> RRA and CRA were used in high-strength slag-cement mortar for internal curing. </LI> <LI> Incorporation of RA reduced both autogenous and dry shrinkage of the mortar. </LI> <LI> Internal curing efficiency of recycled aggregates was improved by their carbonation. </LI> </UL> </P>

      • Determination of elemental compositions by gas chromatography/time-of-flight mass spectrometry using chemical and electron ionization

        Abate, Salvatore,Ahn, Yun Gyong,Kind, Tobias,Cataldi, Tommaso R. I.,Fiehn, Oliver John Wiley Sons, Ltd. 2010 Rapid communications in mass spectrometry Vol.24 No.8

        <P>Many metabolomic applications use gas chromatography/mass spectrometry (GC/MS) under standard 70 eV electron ionization (EI) parameters. However, the abundance of molecular ions is often extremely low, impeding the calculation of elemental compositions for the identification of unknown compounds. On changing the beam-steering voltage of the ion source, the relative abundances of molecular ions at 70 eV EI were increased up to ten-fold for alkanes, fatty acid methyl esters and trimethylsilylated metabolites, concomitant with 2-fold absolute increases in ion intensities. We have compared the abundance, mass accuracy and isotope ratio accuracy of molecular species in EI with those in chemical ionization (CI) with methane as reagent gas under high-mass tuning. Thirty-three peaks of a diverse set of trimethylsilylated metabolites were analyzed in triplicate, resulting in 342 ion species ([M+H]<SUP>+</SUP>, [M–CH<SUB>3</SUB>]<SUP>+</SUP> for CI and [M]<SUP>+.</SUP>, [M–CH<SUB>3</SUB>]<SUP>+.</SUP> for EI). On average, CI yielded 8-fold more intense molecular species than EI. Using internal recalibration, average mass errors of 1.8 ± 1.6 mm/z units and isotope ratio errors of 2.3 ± 2.0% (A+1/A ratio) and 1.7 ± 1.8% (A+2/A ratio) were obtained. When constraining lists of calculated elemental compositions by chemical and heuristic rules using the Seven Golden Rules algorithm and PubChem queries, the correct formula was retrieved as top hit in 60% of the cases and within the top-3 hits in 80% of the cases. Copyright © 2010 John Wiley & Sons, Ltd.</P>

      • KCI등재

        알칼리 활성 슬래그의 수화에 대한 개선된 화학양론적 모델

        셀라무 이흐인 아베테(Selamu Yihune Abate),박솔뫼(Solmoi Park),송금일(Keum-Il Song),이방연(Bang-Yeon Lee),김형기(Hyeong-Ki Kim) 한국건설순환자원학회 2021 한국건설순환자원학회 논문집 Vol.9 No.1

        본 연구에서는 가장 대표적인 AAM 중 하나인 규산나트륨 적용 AAS의 수화물 구성에 대한 화학양론 모델을 개발하고, 이 결과를 열역학적 모델 결과와 비교하였다. 기본적으로 Chen and Brouwers(2007a)의 모델을 기반으로 하였으며, 일부 수화물에 대한 최신의 데이터베이스를 적용해 일부 개선하였다. 계산된 AAS에 대한 결과는 또한 OPC의 그것과도 비교되었다. AAS의 화학양론 모델 기반 수화물의 부피 구성비는 열역학적 모델 결과에 비해 약 최대 20% 이내에서의 차이가 발견되었으며, w/b 및 활성화제량에 의한 변화량의 추이 역시 열역학적 모델의 결과의 그것과 거의 동일하였다. 특히 고정수량과 공극비는 두 가지 모델에 의한 계산 결과가 약 10% 이내의 차이로 근접하였다. 특히 고정수량의 결과는 실험값과도 거의 동일하였다. 그러나 수화물 및 기타 공극 등 각 상들의 부피에 의해 민감하게 결정되는 값인 화학수축의 경우 열역학적 모델에 비해 화학양론적 모델의 계산결과는 실험결과와 차이가 컸다. The present study proposes the modified-stoichiometric model for describing hydration of sodium silicate-based alkali-activated slag(AAS), and compares the results with the thermodynamic modelling-based calculations. The proposed model is based on Chen and Brouwers(2007a) model with updated database as reported in recent studies. In addition, the calculated results for AAS are compared to those for hydrated portland cement. The maximum difference between the proposed model and the thermodynamic calculation for AAS was at most 20%, and the effects of water-to-binder ratio and activator dosages were identically described by both approaches. In particular, the amount of non-evaporable water was within 10% difference, and was in excellent agreement with the experimental results. Nevertheless, notable deviation was observed for the chemical shrinkage, which is largely dependent on the volume of hydrates and pores.

      • SCIESCOPUS

        Abrasion resistance of ultra high performance concrete incorporating coarser aggregate

        Pyo, Sukhoon,Abate, Selamu Yihune,Kim, Hyeong-Ki Elsevier 2018 Construction and Building Materials Vol.165 No.-

        <P><B>Abstract</B></P> <P>This experimental study was conducted to evaluate the abrasion resistance of ultra high performance concrete (UHPC) that incorporated pre-selected coarser aggregates. The aggregates were selected based on their properties and local availability. In addition, coal bottom ash powder was also used with coarser aggregates as a replacement for silica powder. The examination was made according to the ASTM C 944 test method and the results were determined and presented as mass loss and depth of abrasion. All the results from the tests reveal the excellent abrasion resistance of UHPC; however, when compared to each other, the UHPC with coarser aggregates shows a lower abrasion resistance than the UHPC with no coarser aggregates.</P> <P><B>Highlights</B></P> <P> <UL> <LI> UHPC shows excellent abrasion resistance compared with HPC. </LI> <LI> Abrasion resistance of UHPC was decreased by using coarser aggregates. </LI> <LI> Exposure of steel fiber might became surface corrosion spots. </LI> </UL> </P>

      • Use of recycled aggregates as internal curing agent for alkali-activated slag system

        Lee, Nam Kon,Abate, Selamu Yihune,Kim, Hyeong-Ki Elsevier 2018 Construction & building materials Vol.159 No.-

        <P><B>Abstract</B></P> <P>This study aims to investigate the feasibility of recycled aggregates (RA) as an internal curing agent for an alkali activated slag (AAS) system. The physical and chemical characteristics of the aggregates were studied through various analytical techniques including X-ray diffraction, thermogravimetry, mercury intrusion porosimetry, and indirect alkalinity measurements. The compressive strength, degree of hydration, and autogenous and dry shrinkages of AAS generated with RA were measured and compared with those of AAS made using artificial lightweight aggregates. The use of RA can reduce the autogenous shrinkage of an AAS system without a decrease in compressive strength. The degree of hydration for AAS mortar was not increased by the addition of RA owing to the dilution effect of the alkali activator, which was caused by the additional water supplied from internal curing materials.</P> <P><B>Highlights</B></P> <P> <UL> <LI> RA could be used as an internal curing agent for an AAS. </LI> <LI> RA could reduce autogenous shrinkage. </LI> <LI> Pore structure of RA influenced to internal curing efficiency. </LI> <LI> Strength of AAS was not degraded by RA. </LI> </UL> </P>

      • KCI등재

        Clinical Application of 2017 McDonald Diagnostic Criteria for Multiple Sclerosis

        Vittorio Mantero,Lucia Abate,Roberto Balgera,Loredana La Mantia,Andrea Salmaggi 대한신경과학회 2018 Journal of Clinical Neurology Vol.14 No.3

        Background and Purpose McDonald criteria for multiple sclerosis diagnosis have been revised over the years, diagnostic procedures have been simplified and earlier diagnosis facilitated. The new 2017 revision introduces other important changes, with a further simplification for the diagnosis. Oligoclonal bands reassume a more relevant role in the workup. Methods We describe 3 typical cases of patients admitted for clinically isolated syndrome and illustrate how the application of the new criteria can change the diagnostic approach with respect to the previous criteria. Results In two of the three cases a diagnosis of multiple sclerosis is now possible. Conclusions The new 2017 Multiple Sclerosis criteria may have an important impact in clinical practice with an earlier treatment to avoid the risk of disease dissemination. Their application requires a careful assessment to avoid misdiagnosis and mistreatments.

      • SCISCIESCOPUS

        Spectroscopic needs for imaging dark energy experiments

        Newman, J.A.,Abate, A.,Abdalla, F.B.,Allam, S.,Allen, S.W.,Ansari, R.,Bailey, S.,Barkhouse, W.A.,Beers, T.C.,Blanton, M.R.,Brodwin, M.,Brownstein, J.R.,Brunner, R.J.,Carrasco Kind, M.,Cervantes-Cota, North-Holland 2015 Astroparticle physics Vol.63 No.-

        Ongoing and near-future imaging-based dark energy experiments are critically dependent upon photometric redshifts (a.k.a. photo-z's): i.e., estimates of the redshifts of objects based only on flux information obtained through broad filters. Higher-quality, lower-scatter photo-z's will result in smaller random errors on cosmological parameters; while systematic errors in photometric redshift estimates, if not constrained, may dominate all other uncertainties from these experiments. The desired optimization and calibration is dependent upon spectroscopic measurements for secure redshift information; this is the key application of galaxy spectroscopy for imaging-based dark energy experiments. Hence, to achieve their full potential, imaging-based experiments will require large sets of objects with spectroscopically-determined redshifts, for two purposes:*Training: Objects with known redshift are needed to map out the relationship between object color and z (or, equivalently, to determine empirically-calibrated templates describing the rest-frame spectra of the full range of galaxies, which may be used to predict the color-z relation). The ultimate goal of training is to minimize each moment of the distribution of differences between photometric redshift estimates and the true redshifts of objects, making the relationship between them as tight as possible. The larger and more complete our ''training set'' of spectroscopic redshifts is, the smaller the RMS photo-z errors should be, increasing the constraining power of imaging experiments. Requirements: Spectroscopic redshift measurements for ~30,000 objects over >~15 widely-separated regions, each at least ~20arcmin in diameter, and reaching the faintest objects used in a given experiment, will likely be necessary if photometric redshifts are to be trained and calibrated with conventional techniques. Larger, more complete samples (i.e., with longer exposure times) can improve photo-z algorithms and reduce scatter further, enhancing the science return from planned experiments greatly (increasing the Dark Energy Task Force figure of merit by up to ~50%). Options: This spectroscopy will most efficiently be done by covering as much of the optical and near-infrared spectrum as possible at modestly high spectral resolution (λ/Δλ>~3000), while maximizing the telescope collecting area, field of view on the sky, and multiplexing of simultaneous spectra. The most efficient instrument for this would likely be either the proposed GMACS/MANIFEST spectrograph for the Giant Magellan Telescope or the OPTIMOS spectrograph for the European Extremely Large Telescope, depending on actual properties when built. The PFS spectrograph at Subaru would be next best and available considerably earlier, c. 2018; the proposed ngCFHT and SSST telescopes would have similar capabilities but start later. Other key options, in order of increasing total time required, are the WFOS spectrograph at TMT, MOONS at the VLT, and DESI at the Mayall 4m telescope (or the similar 4MOST and WEAVE projects); of these, only DESI, MOONS, and PFS are expected to be available before 2020. Table 2-3 of this white paper summarizes the observation time required at each facility for strawman training samples. To attain secure redshift measurements for a high fraction of targeted objects and cover the full redshift span of future experiments, additional near-infrared spectroscopy will also be required; this is best done from space, particularly with WFIRST-2.4 and JWST. Calibration: The first several moments of redshift distributions (the mean, RMS redshift dispersion, etc.), must be known to high accuracy for cosmological constraints not to be systematics-dominated (equivalently, the moments of the distribution of differences between photometric and true redshifts could be determined instead). The ultimate goal of calibration is to characterize these moments for every subsample used in analyses - i.e., to minimi

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