• Title/Summary/Keyword: Index of Industry Production

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Assessment of Semi-Quantitative Health Risks of Exposure to Harmful Chemical Agents in the Context of Carcinogenesis in the Latex Glove Manufacturing Industry

  • Yari, Saeed;Asadi, Ayda Fallah;Varmazyar, Sakineh
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.sup3
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    • pp.205-211
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    • 2016
  • Excessive exposure to chemicals in the workplace can cause poisoning and various diseases. Thus, for the protection of labor, it is necessary to examine the exposure of people to chemicals and risks from these materials. The purpose of this study is to evaluate semi-quantitative health risks of exposure to harmful chemical agents in the context of carcinogenesis in a latex glove manufacturing industry. In this cross-sectional study, semi-quantitative risk assessment methods provided by the Department of Occupational Health of Singapore were used and index of LD50, carcinogenesis (ACGIH and IARC) and corrosion capacity were applied to calculate the hazard rate and the biggest index was placed as the basis of risk. To calculate the exposure rate, two exposure index methods and the actual level of exposure were employed. After identifying risks, group H (high) and E (very high) classified as high-risk were considered. Of the total of 271 only 39 (15%) were at a high risk level and 3% were very high (E). These risks only was relevant to 7 materials with only sulfuric acid placed in group E and 6 other materials in group H, including nitric acid (48.3%), chromic acid (6.9%), hydrochloric acid (10.3%), ammonia (3.4%), potassium hydroxide (20.7%) and chlorine (10.3%). Overall, the average hazard rate level was estimated to be 4 and average exposure rate to be 3.5. Health risks identified in this study showed that the manufacturing industry for latex gloves has a high level of risk because of carcinogens, acids and strong alkalisand dangerous drugs. Also according to the average level of risk impact, it is better that the safety design strategy for latex gloves production industry be placed on the agenda.

Isolation and Characterization of an Antifungal and Plant Growth-Promoting Microbe

  • Park, Se Won;Yang, Hee-Jong;Seo, Ji Won;Kim, Jinwon;Jeong, Su-ji;Ha, Gwangsu;Ryu, Myeong Seon;Yang, Hee Gun;Jeong, Do-Youn;Lee, Hyang Burm
    • The Korean Journal of Mycology
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    • v.49 no.4
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    • pp.441-454
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    • 2021
  • Fungal diseases including anthracnose, stem rot, blight, wilting, and root rot of crops are caused by phytopathogens such as Colletotrichum species, Sclerotinia sclerotiorum, Phytophthora species, and Fusarium oxysporum and F. solani which threaten the production of chili pepper. In this study, to identify biological control agents (BCAs) of phytopathogenic fungi, potentially useful Bacillus species were isolated from the field soils. We screened out five Bacillus strains with antagonistic capacity that are efficiently inhibiting the growth of phytopathogenic fungi. Bacillus species were characterized by the production of extracellular enzymes, siderophores, and indole-3-acetic acid (IAA). Furthermore, the influence of bacterial strains on the plant growth promoting activity and seedling vigor index were assessed using Brassica juncea as a model plant. Inoculation with Bacillus subtilis SRCM 121379 significantly increased the length of B. juncea shoots and roots by 45.6% and 52.0%, respectively. Among the bacterial isolates, Bacillus subtilis SRCM 121379 showed the superior enzyme activities, antagonistic capacity and plant growth promoting effects. Based on the experimental results, Bacillus subtilis SRCM 121379 (GenBank accession no. NR027552) was finally selected as a BCA candidate.

An Analysis of the Productivity Changes of Korean Pharmaceutical Industry Using Bootstrapped Malmquist Index (Bootstrapped Malmquist 지수를 이용한 국내 의약품산업의 생산성 변화 요인 분석에 관한 연구)

  • So, Soon-Hu
    • Management & Information Systems Review
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    • v.35 no.4
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    • pp.141-153
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    • 2016
  • This study estimates the productivity change of pharmaceutical industry and decompose the change into technical efficiency change and technological change to explore ways to improve the productive efficiency. Unlike most previous studies, this study employs the non-radial and non-oriented slacks-based Malmquist productivity index which can deals directly with the input excesses and output shortfalls. In addition a smoothed bootstrap method is applied to estimate statistical confidence intervals for the Malmquist Index and its components. For the empirical analysis a balanced panel data set is constructed covering ten years over the period from 2005 to 2014. The input variables used in this study are number of workers, tangible assets and major production cost. The gross production is selected as a main output variable. The empirical results suggest that the productivity of pharmaceutical industry has decreased due mainly to decline in the technological progress rather than improvements in technical efficiency. An analysis result shows that the scale efficiency outweighs the pure efficiency in determining the technical efficiency of pharmaceutical industry. Therefore, in order to enhance the competitiveness of domestic pharmaceutical industry, it is important to continue supporting policies to promote the technology innovation capability through efficient R&D investment and industry reform strategy.

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An Analysis on the National Economic Contribution of the Chinese Textile Industry (중국 섬유산업의 국민경제적 기여도 분석)

  • Wang, Si-Yi;Meng, Hai-Yang;Bae, Ki-Hyung
    • The Journal of the Korea Contents Association
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    • v.16 no.8
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    • pp.651-660
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    • 2016
  • This study analyzed the contribution of the national economy, China's textile industry by 2010 I-O Table issued by the Chinese Bureau of Statistics 2013. The results shows that the production inducement coefficient of China's textile industry is the column total 3.6228 and in line total 3.5452, is a key industry that leads the industry in China. Second, the index of the power of dispersion of the Chinese textile industry is 1.1982, index of the sensitivity of dispersion is 1.1725. Third, income inducement coefficient of China's textile industry 0.5228, tax inducement coefficient 0.1522, a value-added inducement coefficient 1. Especially China's textile industry induce 2993.6 trillion yuan(textile industry of 8.6 trillion yuan, up 3.0%) in the national production, value-added inducement 97.1 trillion yuan (textile industry 1.7 trillion yuan, up 2.0%), income inducement 42.8 trillion yuan (textile industry 0.9 one trillion yuan, 2.0%), also tax inducement 15.4 trillion yuan (textile industry 0.3 one trillion yuan, 2.0%).

Agglomeration Patterns of Advertising Industries and Spatial Networks of Advertisement Production (광고산업의 집적 특성과 광고제작의 공간적 네트워크)

  • Koo, Yang-Mi
    • Journal of the Korean Geographical Society
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    • v.45 no.2
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    • pp.256-274
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    • 2010
  • The aim of this study is to examine agglomeration patterns of advertising industries and spatial networks of advertisement production in Korea. The focus of analysis is the agglomeration pattern of advertising industries within Seoul because these are agglomerated in Seoul like other business services. Analysis methods are local Moran's I index and location quotient with the regional percentages of each sector's number of employees. Clusters in Gangnam Area are related to start-up advertising firms and global agencies entering domestic advertising markets. Network analysis is used to investigate the spatial networks of TV advertisement production between advertising agencies(AA) and film productions(FP). After transformation of AA-FP network matrix to regional matrix centrality index and brokerage scores are calculated. This analysis shows individual region's different role and position in the AA-FP network. Many agencies in or out of Gangnam Area outsource most advertisement makings to film productions in Gangnam Area. Advertising industry dusters in Gangnam Area is important as of the destination of advertisement production networks and the circulation of those networks.

Negative association between high temperature-humidity index and milk performance and quality in Korean dairy system: big data analysis

  • Dongseok Lee;Daekyum Yoo;Hyeran Kim;Jakyeom Seo
    • Journal of Animal Science and Technology
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    • v.65 no.3
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    • pp.588-595
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    • 2023
  • The aim of this study was to investigate the effects of heat stress on milk traits in South Korea using comprehensive data (dairy production and climate). The dataset for this study comprised 1,498,232 test-day records for milk yield, fat- and protein-corrected milk, fat yield, protein yield, milk urea nitrogen (MUN), and somatic cell score (SCS) from 215,276 Holstein cows (primiparous: n = 122,087; multiparous: n = 93,189) in 2,419 South Korean dairy herds. Data were collected from July 2017 to April 2020 through the Dairy Cattle Improvement Program, and merged with meteorological data from 600 automatic weather stations through the Korea Meteorological Administration. The segmented regression model was used to estimate the effects of the temperature-humidity index (THI) on milk traits and elucidate the break point (BP) of the THI. To acquire the least-squares mean of milk traits, the generalized linear model was applied using fixed effects (region, calving year, calving month, parity, days in milk, and THI). For all parameters, the BP of THI was observed; in particular, milk production parameters dramatically decreased after a specific BP of THI (p < 0.05). In contrast, MUN and SCS drastically increased when THI exceeded BP in all cows (p < 0.05) and primiparous cows (p < 0.05), respectively. Dairy cows in South Korea exhibited negative effects on milk traits (decrease in milk performance, increase in MUN, and SCS) when the THI exceeded 70; therefore, detailed feeding management is required to prevent heat stress in dairy cows.

Characteristics of Stock Drainage Depending on Refining Load and Analysis of Drainage Factors (고해하중변화에 의한 탈수성과 탈수영향 인자 분석)

  • 장현성;박종문
    • Journal of Korea Technical Association of The Pulp and Paper Industry
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    • v.36 no.2
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    • pp.10-16
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    • 2004
  • Structures and strengths of paper have been studied by analyzing fibers characteristics depending on refining methods. Mixing ratio of softwood and hardwood fibers and fibers characteristics have been analyzed for paper quality improvement. In this study flocculation and drainage of fibers were analyzed to improve the production efficiency and paper product's quality. Floc size and drainage rate depending on stock consistency and fines content were analyzed. Total amount of drainage during drainage process was measured quantitatively by using DI(drainage index). Floc size, viscosity of floc and dewatering times were also measured. In the case of refining load $2.8 kg_f$ , drainage was occurred by filtration mechanism rather than thickening mechanism because drainage resistance increased by fibrillation of fibers. Therefore, the drainage rate of $2.8 kg_f$ refining load stock was slower than that of $5.6 kg_f$.

Technical Change of World Industry: a Malmquist Index Approach (Malmquist지수에 의한 세계 철강산업의 기술변화)

  • 김진한;정기대
    • Journal of Korea Technology Innovation Society
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    • v.4 no.3
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    • pp.369-382
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    • 2001
  • In this research, the world top steel companies' technical changes were measured by the nonparametric Malmquist index. Steel industry's production frontier which was composed of multiple inputs and multiple outputs was defined by using real data of the companies from 1986 to 1998, and then the variability of technical progress(or regress) was analyzed during that period. The dynamics of individual steel companies\` technical changes, periodical technical changes, and each country's technical chanties were explained. A matrix which was based on technical chanties, technical efficiency changes, and scale efficiency changes was designed to assist to find out current position and In build up future strategies. This research results will be an valuable input to the early stage of formulating competitive strategy because the technical core capability is an important source of the each companies's competitiveness.

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Comparison of Broiler Performance according to Infection Rate of Chicken Mycoplasmosis in Broiler Breeders (육용종계 농장의 닭 마이코플라즈마병 감염율에 따른 육계 사육성적 비교)

  • Park, Dam-hee;Kim, Kyu-jik;Lim, Tae-Hyun;Kim, Byoung-Yoon;Yun, Jae-Sung;Song, Chang-Seon
    • Korean Journal of Poultry Science
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    • v.46 no.4
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    • pp.249-253
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    • 2019
  • Various factors negatively affect poultry production, including a multitude of avian pathogens. Among them, Mycoplasma gallisepticum (MG) and Mycoplasma synoviae (MS) cause world-wide economic losses in the poultry industry. Although respectively, MG and MS induce chronic respiratory disease and synovitis in poultry, these pathogens often manifest as clinically inapparent infections and many countries are therefore having difficulties effectively eradicating them. In this study, five broiler breeder farms in Korea were investigated for the presence of Mycoplasma infection from 2016 to 2018. Serum samples were collected for detection of antibodies to mycoplasma species using an enzyme-linked immunosorbent assay (ELISA) kit. Additionally, the production index and feed conversion rate of broilers were recorded. According to this investigation, broiler breeder farms in 2018 were serologically negative for Mycoplasma infection with broilers exhibiting a high production index and low feed conversion rate. Thus, eradicating mycoplasma in poultry farms is critical for improving chick quality and overall poultry production.

Bayesian VAR Analysis of Dynamic Relationships among Shipping Industry, Foreign Exchange Rate and Industrial Production (Bayesian VAR를 이용한 해운경기, 환율 그리고 산업생산 간의 동태적 상관분석)

  • Kim, Hyunsok;Chang, Myunghee
    • Journal of Korea Port Economic Association
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    • v.30 no.2
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    • pp.77-92
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    • 2014
  • The focus of this study is to analyse dynamic relationship among BDI(Baltic Dry-bulk Index, hereafter BDI), forex market and industrial production using monthly data from 2003-2013. Specifically, we have focused on the investigations how monetary and real variable affect shipping industry during recession period. To compare performance between general VAR and Bayesian VAR we first examine DAG(Directed Acyclic Graph) to clarify causality among the variables and then employ MSFE(mean squared forecast error). The overall estimated results from impulse-response analysis imply that BDI has been strongly affected by other shock, such as forex market and industrial production in Bayesian VAR. In particular, Bayesian VAR show better performance than general VAR in forecasting.