• Title/Summary/Keyword: Environmental Costs

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Genetic and Environmental Deterrents to Breeding for Disease Resistance in Dairy Cattle

  • Lin, C.Y.;Aggrey, S.E.
    • Asian-Australasian Journal of Animal Sciences
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    • v.16 no.9
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    • pp.1247-1253
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    • 2003
  • Selection for increased milk production in dairy cows has often resulted in a higher incidence of disease and thus incurred a greater health costs. Considerable interests have been shown in breeding dairy cattle for disease resistance in recent years. This paper discusses the limitations of breeding dairy cattle for genetic resistance in six parts: 1) complexity of disease resistance, 2) difficulty in estimating genetic parameters for planning breeding programs against disease, 3) undesirable relationship between production traits and disease, 4) disease as affected by recessive genes, 5) new mutation of the pathogens, and 6) variable environmental factors. The hidden problems of estimating genetic and phenotypic parameters involving disease incidence were examined in terms of categorical nature, non-independence, heterogeneity of error variance, non-randomness, and automatic relationship between disease and production traits. In light of these limitations, the prospect for increasing genetic resistance by conventional breeding methods would not be so bright as we like. Since the phenomenon of disease is the result of a joint interaction among host genotype, pathogen genotype and environment, it becomes essential to adopt an integrated approach of increasing genetic resistance of the host animals, manipulating the pathogen genotypes, developing effective vaccines and drugs, and improving the environmental conditions. The advances in DNA-based technology show considerable promise in directly manipulating host and pathogen genomes for genetic resistance and producing vaccines and drugs for prevention and medication to promote the wellbeing of the animals.

Influence of Infrared Radiationon Sowing Quality and Growth Indicators of Winter Wheat Plants

  • Chervinsky, L.;Storozhuk, L.;Pashkovska, N.
    • The Korean Journal of Food & Health Convergence
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    • v.6 no.1
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    • pp.17-20
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    • 2020
  • Wheat is the most abundant crop in the world, accounting for one third of the world's population diet. In Ukraine, wheat is in fact, in addition to its nutritional value, a national symbol of the state. Therefore, the main thesis on the development of modern plant growing in Ukraine is the reduction of costs and the introduction of innovative technologies. The quality of grain and seed depends on many factors, namely: agro-climatic conditions, sowing condition of the seed material, quality characteristics of the soil, yielding properties of seeds, pre-sowing seed treatment. etc. For this purpose, the photosynthesis and intensity of photosynthesis need to be limited to the width of the leaf and the height of the leaves by a smaller cut of the stem. It is extremely important to ensure that the head and side pagons of wheat are in good condition. All parameters are often secured by the technology of grain preparation before delivery. Prior to this technology, it is possible to introduce processing of the material in the form for the development of the material. This article presents the effectiveness of the use of infrared irradiation for the pre-sowing treatment of winter wheat seeds in Sekobra Research, Germany.

Cultivation-Dependent and -Independent Characterization of Microbial Community Producing Polyhydroxyalkanoates from Raw Glycerol

  • Ciesielski, Slawomir;Pokoj, Tomasz;Klimiuk, Ewa
    • Journal of Microbiology and Biotechnology
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    • v.20 no.5
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    • pp.853-861
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    • 2010
  • High substrate costs decrease the profitability of polyhydroxyalkanoates (PHAs) production, and thus low-cost carbon substrates coming from agricultural and industrial residuals are tested for the production of these biopolymers. Among them, crude glycerol, formed as a by-product during biodiesel production, seems to be the most promising source of carbon. The object of this study was to characterize the mixed population responsible for the conversion of crude glycerol into PHAs by cultivation-dependent and -independent methods. Enrichment of the microbial community was monitored by applying the Ribosomal Intergenic Spacer Analysis (RISA), and the identification of community members was based on 16S rRNA gene sequencing of cultivable species. Molecular analysis revealed that mixed populations consisted of microorganisms affiliated with four bacterial lineages: ${\alpha}$, ${\gamma}$-Proteobacteria, Actinobacteria, and Bacteroides. Among these, three Pseudomonas strains and Rhodobacter sp. possessed genes coding for polyhydroxyalkanoates synthase. Comparative analysis revealed that most of the microorganisms detected by direct molecular analysis were obtained by the traditional culturing method.

Analysis of Housing Cases with Passive Cooling Technologies - Based on LEED(Leadership in Energy and Environmental Design) housing cases in North America - (자연냉방기법 활용 주거 사례분석 연구 - 미국 LEED 인증 주택을 대상으로 -)

  • Yoon, Hea-Kyung;Woo, Seung-Hyun
    • Korean Institute of Interior Design Journal
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    • v.18 no.6
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    • pp.28-35
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    • 2009
  • The purpose of this study is to analyze the state-of-the-art housing cases with passive cooling technologies and to explore the feasibilities for their applications in domestic housing design. Nineteen Leadership in Energy and Environmental Design housing cases from 2002 to 2007 were selected and analyzed their used passive cooling technologies. Besides traditional passive cooling technologies such as site planning according to the sun direction, the use of thermal mass, insulation, shading, below-ground spaces and ventilation, the relatively new technology trends were detected as followings; the use of high performance envelope, operable windows, and geo-thermal energy as the cooling source of heat pumps, increased areas of photovoltaic cells, and the education of the owner and tenants about the adopted passive cooling technologies in a building. Especially, the education may have not been focused in the domestic design despite of its effectiveness on the appropriate operations of passive cooling technologies. The results of this study show their positive adaptations would be beneficial to domestic housing design to reduce energy costs and have cooler housing environments in summer.

Verification on Separation Distance Criteria when Transporting Dangerous Goods in Korea Railroad (국내 철도 위험물 운송 시 격리차 운영기준 안전성 검증)

  • Lee, Byeongwoo;Park, Dasung;Kang, Taesun;Jung, Seungho
    • Journal of the Korean Society of Safety
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    • v.34 no.2
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    • pp.28-33
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    • 2019
  • After the Tianjin Port explosion on 2015, it is highlighted that securing safety for dangerous goods in Korea and try to establish safety standards for railroad dangerous substances transport. In Korea, the regulation for the transport of dangerous goods is stipulated to need 3 buffer cars. However, It is inefficient that 3 buffer cars. because 3 buffer cars, increase transportation too much costs in transit and it is too strict compared to other country rules. The purpose of this study was to improve transportation efficiency by mitigating the criteria for isolated railroads through rational safety assessment. In order to verify this, we used a risk assessment software which is PHAST 7.2 developed by DNV GL. We calculated safety distances that could prevent ignitions setting up scenarios when relief system work installed on a train loaded with propylene, nonane. As a result, we confirmed that buffer cars can be reduced from three to one. This result would be implemented in the application of Korail.

APPRAISAL OF MAINTENANCE MANAGEMENT STRATEGIES USED IN PUBLIC HOSPITAL BUILDINGS IN LAGOS STATE, NIGERIA

  • Adenuga, O.A;Iyagba, R.O.;Ogunsanmi, E.O
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.837-847
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    • 2007
  • The study focused on the evaluation of maintenance management strategies used in public hospital buildings in Lagos state. It also assessed the labour composition for maintenance operations. In achieving these objectives, opinions of maintenance officers of ten (10) different hospitals in different local government areas of the state were sampled through well structured questionnaires. The data collected were analyzed using descriptive and inferential statistics. From the analysis, the study revealed that majority of those public hospitals do not have specific budget for maintenance programmes, maintenance policies, maintenance log book and maintenance manual to guide the operatives. About 98% of them do not understand the type of maintenance strategy being used for their maintenance operations. 78% of the maintenance work are only executed when there is a breakdown or in response to user's request. For labour composition, the cleaning of interior and exterior of the building, inspection of building elements, repairs and replacements of building elements are mainly carried out by in-house staff, while the repair and replacement of equipment is by outsourcing. The study also revealed that using in- house staff, reduces costs and provides a higher security while outsourcing provides more flexibility in staffing reduces equipment expenditures and provide better access to special skills. The study recommended proactive measures to provide necessary training and support for maintenance staff and users of these facilities and a means of securing sufficient funds for maintenance programmes.

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A novel method for vehicle load detection in cable-stayed bridge using graph neural network

  • Van-Thanh Pham;Hye-Sook Son;Cheol-Ho Kim;Yun Jang;Seung-Eock Kim
    • Steel and Composite Structures
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    • v.46 no.6
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    • pp.731-744
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    • 2023
  • Vehicle load information is an important role in operating and ensuring the structural health of cable-stayed bridges. In this regard, an efficient and economic method is proposed for vehicle load detection based on the observed cable tension and vehicle position using a graph neural network (GNN). Datasets are first generated using the practical advanced analysis program (PAAP), a robust program for modeling and considering both geometric and material nonlinearities of bridge structures subjected to vehicle load with low computational costs. With the superiority of GNN, the proposed model is demonstrated to precisely capture complex nonlinear correlations between the input features and vehicle load in the output. Four popular machine learning methods including artificial neural network (ANN), decision tree (DT), random forest (RF), and support vector machines (SVM) are refereed in a comparison. A case study of a cable-stayed bridge with the typical truck is considered to evaluate the model's performance. The results demonstrate that the GNN-based model provides high accuracy and efficiency in prediction with satisfactory correlation coefficients, efficient determination values, and very small errors; and is a novel approach for vehicle load detection with the input data of the existing monitoring system.

Conflict Analysis in Construction Project with Unstructured Data: A Case Study of Jeju Naval Base Project in South Korea

  • Baek, Seungwon;Han, Seung Heon;Lee, Changjun;Jang, Woosik;Ock, Jong Ho
    • International conference on construction engineering and project management
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    • 2017.10a
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    • pp.291-296
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    • 2017
  • Infrastructure development as national project suffers from social conflict which is one of main risk to be managed. Social conflicts have a negative impact on not only the social integration but also the national economy as they require enormous social costs to be solved. Against this backdrop, this study analyzes social conflict using articles published by online news media based on web-crawling and natural language processing (NLP) techniques. As an illustrative case, the Jeju Naval Base (JNB) project which is one of representative conflict case in South Korea is analyzed. Total of 21,788 articles and representative keywords are identified annually. Additionally, comparative analysis is conducted between the extracted keywords and actual events occurred during the project. The authors explain actual events in the JNB project based on the extracted words by the year. This study contributes to analyze social conflict and to extract meaningful information from unstructured data.

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A Study on the Motivation and Choice Attributes of Visiting Wineries in Ningxia, China (중국 닝샤 와이너리 방문동기와 선택속성에 관한 연구)

  • Li, Shu-Xian;Woo, Won-Seok;Hwang, Jae-Hyun
    • Korean Journal of Organic Agriculture
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    • v.32 no.1
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    • pp.39-54
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    • 2024
  • This study aimed to elucidate the relationship between the selection attributes and visit motivations of Ningxia wineries and tourist satisfaction and intention to revisit. Utilizing multiple linear regression and simple linear regression models, the study quantitatively analyzed tourists' selection attributes and visit motivations for Ningxia wineries. Factor analysis categorized 12 visit motivation variables into four factors: 'Sensation', 'Educational', 'Companion-Friendly', and 'Experiential'. Additionally, 17 selection attribute variables were classified into four factors: 'Service Quality', 'Environmental', 'Facility', and 'Economic'. Through analyzing the impact of visit motivations on satisfaction and revisit intentions, we have identified the pivotal factors as 'Wine Cultural Education', 'Enhanced Companion-Friendliness', and 'Wine Cultural Experience'. In the analysis of the relationship between selection attributes and revisit intentions, crucial elements involve 'Service Quality provided by the winery"'and 'Environmental of the winery'. Conversely, key influencing revisit intentions include 'Environmental of the winery' and 'Costs and Pricing associated with winery visits'. To ensure the sustainable development of the Ningxia winery industry and promote the enduring growth of rural economies, wineries should place greater emphasis on cultivating wine cultural experiences, artisanal activities, and other project endeavors.

UAV-Based Remote Sensing Survey for Quantification of Beach Fill Construction Projects

  • Gavin JACKSON;Junshan LIU;Scott KRAMER
    • International conference on construction engineering and project management
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    • 2024.07a
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    • pp.399-406
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    • 2024
  • This research paper explores the integration of Unmanned Aerial Vehicle (UAV)-based remote sensing survey methods, specifically LiDAR and photogrammetry, into the measurement and payment processes of beach fill construction projects managed by the U.S. Army Corps of Engineers (USACE). The primary objective is to evaluate the feasibility, accuracy, and cost-effectiveness of UAV technology in contrast to traditional topographic and hydrographic survey methods. The methodology includes a comprehensive literature review, case studies, accuracy standard assessments, and a detailed cost comparison between conventional and UAV-based survey techniques. The findings reveal that UAV-based remote sensing can offer significant improvements in terms of efficiency and cost savings. UAVs are capable of capturing large data volumes quickly with reduced manpower and equipment needs. However, the accuracy of UAV surveys is contingent upon environmental conditions and the proper staging of control points. Moreover, the initial investment and operational costs of UAV equipment are substantial and warrant further analysis. The paper argues for flexibility in measurement and payment methodologies during the project design phase to accommodate UAV technology. While environmental conditions may occasionally necessitate traditional survey methods, the study suggests that regions like the Florida Peninsula, with clearer water and more favorable weather, are particularly well-suited for the implementation of UAV-based surveys. The significance of this study lies in its potential to guide future beach fill construction projects, promoting more efficient and cost-effective survey methods while adhering to accuracy standards and environmental considerations.