• Food Science of Animal Resources
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• v.35 no.5
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• pp.692-702
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• 2015

Lactobacillus mucosae is a natural resident of the gastrointestinal tract of humans and animals and a potential probiotic bacterium. To understand the global protein expression profile and metabolic features of L. mucosae LM1 in the early stationary phase, the QExactive^TM Hybrid Quadrupole-Orbitrap Mass Spectrometer was used. Characterization of the intracellular proteome identified 842 proteins, accounting for approximately 35% of the 2,404 protein-coding sequences in the complete genome of L. mucosae LM1. Proteome quantification using QExactive^TM Orbitrap MS detected 19 highly abundant proteins (> 1.0% of the intracellular proteome), including CysK (cysteine synthase, 5.41%) and EF-Tu (elongation factor Tu, 4.91%), which are involved in cell survival against environmental stresses. Metabolic pathway annotation of LM1 proteome using the Kyoto Encyclopedia of Genes and Genomes (KEGG) database showed that half of the proteins expressed are important for basic metabolic and biosynthetic processes, and the other half might be structurally important or involved in basic cellular processes. In addition, glycogen biosynthesis was activated in the early stationary phase, which is important for energy storage and maintenance. The proteogenomic data presented in this study provide a suitable reference to understand the protein expression pattern of lactobacilli in standard conditions

• Journal of the Korean Wood Science and Technology
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• v.35 no.1
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• pp.1-10
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• 2007

This study was reviewed on the bioethanol production from biomass resources and feedstock supply in America. U.S. Department of Energy (USDE) and the u.s. Department of Agriculture USDA) are both strongly committed to expand the role of biomass as an energy source. They support biomass fuels and products as a way to reduce the need for oil and gas imports, to strengthen the nation's energy security and environmental quality. And it was envisioned a 20 percent replacement of the current U.S.transportation fuel consumption in 2030. Also it was reviewed policies to encourage the expanding of Bio-based fuel use to replace gasoline, such as Clean Air Act, Federal Clean Fuel Program and American Jobs Creation Act. In feedstock supply it was assumed forest biomass will be supplied in 368 million dry tons yearly and the agriculture derived biomass adopted by new technologies and land use change will be supplied in 998 million dry tons, including highly 818 million dry tons of lignocellulosic biomass such as perenial crops (hybrid trees, grasses) corn stover, other crop residues. This amount is 5 times to the amount from based current agricultural technology and crop land.

• Cross-Cultural Studies
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• v.48
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• pp.253-287
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• 2017

The purpose of this study is to examine the ethnic phenomenon in the multi-layered context, based upon data collected from my fieldwork in Asella Town, Ethiopia. The town has experienced few ethnic conflicts at the collective level because of ecological conditions, the numerical balance between the two major ethnic groups-i.e., the Oromo and the Amhara-, frequent ethnic intermarriages as well as effects of a unique sociocultural practice of 'breast-feeding.' However, despite positive influences of such a practice, the local community has continuously witnessed discrimination and threats by the dominant ethnic group. Most of my informants feel that ethnic intermarriage contributes to: (i) enforcement of bonds among both ethic groups and community members, (ii) acquisition of different ethnic cultures, (iii) cultivation of the spirit of tolerance among people, and (iv) production of the superior second generation that has hybrid/multiple ethnic identities. However, some informants harbor negative attitudes towards ethnic intermarriage because they perceive it as a selfish choice of two parties and damages ethnic identity. Most informants consider ongoing Oromonization as natural, whereas others insist that it should be understood in the context of coercion, superficiality and survival strategy.

• English & American cultural studies
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• v.14 no.1
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• pp.141-167
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• 2014

The macro structural perspective of how race was formed nationally, politically, and socially has greatly contributed in revealing the ills of racialism until now, likewise, the dichotomous form of Asian-American literature corresponding to such perspective has made great contribution in awakening people's awareness of race. While acknowledging the contribution of such macro perspectives, we must take note that today's racialism is becoming materialized in different aspects. The tendency of present racial formation is that the recognition of race is spread out lightly but widely in everyday lives and is revealed through the perception of our body. While publicly stating that society is color-blind and inequality significantly resolved, racialism emerges in the personal and everyday aspects. Not erased but diluted and spread out more widely, and the more diluted, harder to erase, racialism has penetrated into the perception of our lives. Racialism works not as a conspicuous discrimination but as a common sense that is 'naturally' absorbed into our perception and perspective. Chang Rae Lee's Aloft shows the process of such racial formation in our age of hybridization. This study tries to clarify why present racial formation must be analyzed in the macro perceptual perspective and show how the racial perception in the narrative of the white dominant narrator, Jerry, becomes the field where he lives and how it is spread through his perception. Through the theories of Judith Butler and Linda M. Alcoff, this study analyzes how people are got to self-identification with the racialization through reiteration and what the relationship is between racial formation and the subject's performativity in Aloft. The study concludes that revealing such current processes of racial formation perceptively is not thinking it 'natural' and inevitable but the process of bringing about a change in it.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.11
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• pp.3991-4010
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• 2021

The Question Similarity Measurement of Chinese Crop Diseases and Insect Pests (QSM-CCD&IP) aims to judge the user's tendency to ask questions regarding input problems. The measurement is the basis of the Agricultural Knowledge Question and Answering (Q & A) system, information retrieval, and other tasks. However, the corpus and measurement methods available in this field have some deficiencies. In addition, error propagation may occur when the word boundary features and local context information are ignored when the general method embeds sentences. Hence, these factors make the task challenging. To solve the above problems and tackle the Question Similarity Measurement task in this work, a corpus on Chinese crop diseases and insect pests(CCDIP), which contains 13 categories, was established. Then, taking the CCDIP as the research object, this study proposes a Chinese agricultural text similarity matching model, namely, the AgrCQS. This model is based on mixed information extraction. Specifically, the hybrid embedding layer can enrich character information and improve the recognition ability of the model on the word boundary. The multi-scale local information can be extracted by multi-core convolutional neural network based on multi-weight (MM-CNN). The self-attention mechanism can enhance the fusion ability of the model on global information. In this research, the performance of the AgrCQS on the CCDIP is verified, and three benchmark datasets, namely, AFQMC, LCQMC, and BQ, are used. The accuracy rates are 93.92%, 74.42%, 86.35%, and 83.05%, respectively, which are higher than that of baseline systems without using any external knowledge. Additionally, the proposed method module can be extracted separately and applied to other models, thus providing reference for related research.

• Computers and Concrete
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• v.32 no.2
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• pp.217-232
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• 2023

Numerous studies have been performed on the behavior of pile foundations in cold regions. This study first attempted to employ artificial neural networks (ANN) to predict pile-bearing capacity focusing on pile data recorded primarily on cold regions. As the ANN technique has disadvantages such as finding global minima or slower convergence rates, this study in the second phase deals with the development of an ANN-based predictive model improved with an Elephant herding optimizer (EHO), Dragonfly Algorithm (DA), Genetic Algorithm (GA), and Evolution Strategy (ES) methods for predicting the piles' bearing capacity. The network inputs included the pile geometrical features, pile area (m²), pile length (m), internal friction angle along the pile body and pile tip (Ø°), and effective vertical stress. The MLP model pile's output was the ultimate bearing capacity. A sensitivity analysis was performed to determine the optimum parameters to select the best predictive model. A trial-and-error technique was also used to find the optimum network architecture and the number of hidden nodes. According to the results, there is a good consistency between the pile-bearing DA-MLP-predicted capacities and the measured bearing capacities. Based on the R2 and determination coefficient as 0.90364 and 0.8643 for testing and training datasets, respectively, it is suggested that the DA-MLP model can be effectively implemented with higher reliability, efficiency, and practicability to predict the bearing capacity of piles.

• Journal of Wetlands Research
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• v.15 no.4
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• pp.535-541
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• 2013

The urbanization affects significantly on a natural water circulation system by increasing the imperviousness rate. It is also negatively affecting on urban temperature, environmental pollution, water quality, and aqua-ecosystems. The Korea MOE (Ministry of Environment) adapted a new environmental policy in order to reduce the impact of urbanization, which is the Green Stormwater Infrastructure (GSI) program. The GSI can be achieved by protecting conservable green spaces, enlarging more green spaces, and constructing more permeable pavements. The GSI is including many different techniques such as bioretention, rain garden, infiltration trench and so on. Also It is the infrastructures using natural mechanisms of soils, microorganisms, plants and animals on a water circulation system and pollutant reduction. In this research, a multi functional GSI technology with infiltration-filtration mechanisms has been developed and performed lab-scale tests to evaluate the performances about infiltration rate restoration and pollutant reduction. The most of pollutants including metals, organics and particulates were reduced about 50~90% due to water infiltration and storage functions. The clogging was found when the TSS loading rate was reached on $8.3{\sim}9.0kg/m^2$, which value is higher than the values in literatures. It means the new technology can show high performances with low maintenances.

• Korean Journal of Ichthyology
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• v.5 no.1
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• pp.113-121
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• 1993

Cytogenetic studies and hybridization experiment using two populations of Oryzias latipes from Korea were conducted in order to examine their systematic positions. In the chromosome number of specimens examined. O. sinensis had 46 with a pair of large metacentrics and O. latipes had 48 chromosomes without a pair of large metacentrics. However, the diploid chromosome number of the hybrid between O. latipes and O. sinensis was 47 and they had a large metarcentric chromosome in their karyotype. In the $F_2$ hybrids, distribution of chromosome number was variable among individuals. Hatching rates showed little difference between control and hybrids. However, hatchiabilties of $F_2$ hybrids were decreased by 83.3% as compared with $F_1$ offspring. Incidence of abnormal larvae was increased by 15.3% as compared with their parents. These results indicate that the two karyotype populations formerly regarded as two subspecies would be two distinct allopatric sibling species O. sinensis, and O. latipes.

• Genomics & Informatics
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• v.10 no.1
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• pp.1-8
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• 2012

Recently, the technologies of DNA sequence variation and gene expression profiling have been used widely as approaches in the expertise of genome biology and genetics. The application to genome study has been particularly developed with the introduction of the nextgeneration DNA sequencer (NGS) Roche/454 and Illumina/ Solexa systems, along with bioinformation analysis technologies of whole-genome $de$ $novo$ assembly, expression profiling, DNA variation discovery, and genotyping. Both massive whole-genome shotgun paired-end sequencing and mate paired-end sequencing data are important steps for constructing $de$ $novo$ assembly of novel genome sequencing data. It is necessary to have DNA sequence information from a multiplatform NGS with at least $2{\times}$ and $30{\times}$ depth sequence of genome coverage using Roche/454 and Illumina/Solexa, respectively, for effective an way of de novo assembly. Massive shortlength reading data from the Illumina/Solexa system is enough to discover DNA variation, resulting in reducing the cost of DNA sequencing. Whole-genome expression profile data are useful to approach genome system biology with quantification of expressed RNAs from a wholegenome transcriptome, depending on the tissue samples. The hybrid mRNA sequences from Rohce/454 and Illumina/Solexa are more powerful to find novel genes through $de$ $novo$ assembly in any whole-genome sequenced species. The $20{\times}$ and $50{\times}$ coverage of the estimated transcriptome sequences using Roche/454 and Illumina/Solexa, respectively, is effective to create novel expressed reference sequences. However, only an average $30{\times}$ coverage of a transcriptome with short read sequences of Illumina/Solexa is enough to check expression quantification, compared to the reference expressed sequence tag sequence.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.17 no.5
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• pp.51-64
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• 2014

Most planting grounds have converted to the artificial ground of the upper part of underground parking lot in apartment complex recently by increasing utilization of underground parking area. This study has examined the composition of each ground and planting status. The study presents problems of planting plans in artificial ground landscaping in apartment complex. This study has conducted reference and field research. It has researched green space planning, planting characteristics and measures condition of soil depth in 3 regions surveyed. The results are listed below. First, hybrid ground has the highest percentage and natural soils has the lowest percentage in the composition of green space in apartment complex. Artificial green space is composed of a number of small-scale grounds. Second, The study has found that planting characteristics don't reflect soil properties. On the other hand, planting deep rooting big arbors has a high proportion in artificial Ground. Third, the study has figured out 98% of fit in minimum soil depth for growth. Fourth, planters and landscaping stones are constructed in case of small green space. On the other hand, mounding is constructed in case of large green space. However in case of mounding types it has low fit, so it needs to improve this problem.