The understanding of law and science as fundamentally different two systems, in which fact stands against justice, rapid progress against prudent process, is far too simple to be valid. Nonetheless, such account is commonly employed to explain the tension between law and science or justice and truth. Previous STS research raises fundamental doubts upon the off-the-shelf concept of "scientific truth" that can be introduced to the court for legal judgment. Delimiting the qualification of the expert, the value of the expert knowledge, or the criteria of the scientific expertise have always included social negotiation. What are the values that are affecting the boundary-making of the thing called "modern science" that is supposedly useful in solving legal conflicts? How do the value of law and the meaning of justice change as the boundaries of modern science take shapes? What is the significance of "science" when it is emphasized, particularly in relation to the legal provisions of paternity, and how does this perception of science affect unfoldings of legal disputes? In order to explore the answers to the above questions, we follow a process in which a type of "knowledge-deficient model" of a court-that is, law lags behind science and thus, under-employs its useful functions-can be closely examined. We attend to a series of discussions and subsequent changes that occurred in the US courts between 1930s and 1970s, when blood type tests began to be used to determine parental relations. In conclusion, we argue that it was neither nature nor truth in itself that was excavated by forensic scientists and legal practitioners, who regarded blood type tests as a truth machine. Rather, it was their careful practices and crafty narratives that made the roadmaps of modern science, technology, and society on which complex tensions between modern states, families, and courts were seen to be "resolved".
Kim, Jin-Hee;Kim, Dae-jun;Kim, Soo-ock;Yun, Eun-jeong;Ju, Okjung;Park, Jong Sun;Shin, Yong Soon
Korean Journal of Agricultural and Forest Meteorology
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v.21
no.1
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pp.55-64
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2019
The flowering seasons can be advanced due to climate change that would cause an abnormally warm winter. Such warm winter would increase the frequency of crop damages resulted from sudden occurrences of low temperature before and after the vegetative growth stages, e.g., the period from germination to flowering. The degree and pattern of freezing damage would differ by the development stage of each individual fruit tree even in an orchard. A critical temperature, e.g., killing temperature, has been used to predict freeze damage by low-temperature conditions under the assumption that such damage would be associated with the development stage of a fruit flower bud. However, it would be challenging to apply the critical temperature to a region where spatial variation in temperature would be considerably high. In the present study, a phenological model was used to estimate major bud development stages, which would be useful for prediction of regional risks for the freeze damages. We also derived a linear function to calculate a probabilistic freeze risk in spring, which can quantitatively evaluate the risk level based solely on forecasted weather data. We calculated the dates of freeze damage occurrences and spatial risk distribution according to main production areas by applying the spring freeze risk function to apple, peach, and pear crops in 2018. It was predicted that the most extensive low-temperature associated freeze damage could have occurred on April 8. It was also found that the risk function was useful to identify the main production areas where the greatest damage to a given crop could occur. These results suggest that the freezing damage associated with the occurrence of low-temperature events could decrease providing early warning for growers to respond abnormal weather conditions for their farm.
Temperature and relative humidity are important factors in crop cultivation and should be properly controlled for improving crop yield and quality. In order to control the environment accurately, we need to predict how the environment will change in the future. The objective of this study was to predict air temperature and relative humidity at a future time by using a multilayer perceptron (MLP). The data required to train MLP was collected every 10 min from Oct. 1, 2016 to Feb. 28, 2018 in an eight-span greenhouse ($1,032m^2$) cultivating mango (Mangifera indica cv. Irwin). The inputs for the MLP were greenhouse inside and outside environment data, and set-up and operating values of environment control devices. By using these data, the MLP was trained to predict the air temperature and relative humidity at a future time of 10 to 120 min. Considering typical four seasons in Korea, three-day data of the each season were compared as test data. The MLP was optimized with four hidden layers and 128 nodes for air temperature ($R^2=0.988$) and with four hidden layers and 64 nodes for relative humidity ($R^2=0.990$). Due to the characteristics of MLP, the accuracy decreased as the prediction time became longer. However, air temperature and relative humidity were properly predicted regardless of the environmental changes varied from season to season. For specific data such as spray irrigation, however, the numbers of trained data were too small, resulting in poor predictive accuracy. In this study, air temperature and relative humidity were appropriately predicted through optimization of MLP, but were limited to the experimental greenhouse. Therefore, it is necessary to collect more data from greenhouses at various places and modify the structure of neural network for generalization.
Hwang, Jung Hye;An, Sang Mi;Park, Da Hye;Kang, Deok Gyeong;Kim, Tae Wan;Park, Hwa Chun;Ha, Jeongim;Kim, Chul Wook
Journal of the Korean Society of International Agriculture
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v.30
no.4
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pp.277-284
/
2018
Meat quality has always been one of the most important factors that controls the choice of pork consumers and is of great interest in the pig industry. In this study, we identified a single nucleotide polymorphism (SNP) in the enoyl-CoA delta isomerase 2 (ECI2) gene in Berkshire pigs (n = 430) by analyzed the association between the SNP and meat quality traits. The non-synonymous SNP in the ECI2 gene is located at c.608 C > G and resulted in an amino acid change from threonine to serine. Significant associations between the SNP and meat quality traits, such as redness (CIE a), and the $pH_{24hr}$, were revealed in both the dominant and co-dominant models, whereas carcass weight, drip loss, and fat content and moisture content were significantly associated only with the dominant model. In barrow, the SNP was significantly associated with CIE a, drip loss, and $pH_{24hr}$, whereas in gilt, only a significant relationship with moisture content was observed. GG genotype pigs had a higher $pH_{24hr}$ and lower drip loss. Because $pH_{24hr}$ and drip loss are considered the most important meat quality traits, GG genotype pork is high-quality meat compared to that from other genotypes. In conclusion, the SNP in the ECI2 gene is significantly associated with several meat quality traits. These traits and could be as genetic markers in molecular breeding programs for improving meat quality.
Journal of Korean Society of Disaster and Security
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v.14
no.2
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pp.61-75
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2021
Recently, as the occurrence frequency of sudden floods due to climate change increased and the aging of the existing spillway, it is necessary to establish a plan to utilize an auxiliary spillway to minimize the flood damage of downstream rivers. Most studies have been conducted on the review of flow characteristics according to the operation of auxiliary spillway through the hydraulic experiments and numerical modeling. However, the studies on examination of flood damage in the downstream rivers and the stability of the revetment according to the operation of the auxiliary spillway were relatively insufficient in the literature. In this study, the stability of the revetment on the downstream river according to the outflow conditions of the existing and auxiliary spillway was examined by using 3D numerical model, FLOW-3D. The velocity, water surface elevation and shear stress results of FLOW-3D were compared with the permissible velocity and shear stress of design criteria. It was assumed the sluice gate was fully opened. As a result of numerical simulations of various auxiliary spillway operations during flood season, the single operation of the auxiliary spillway showed the reduction effect of maximum velocity and the water surface elevation compared with the single operation of the existing spillway. The stability of the revetment on downstream was satisfied under the condition of outflow less than 45% of the design flood discharge. However, the potential overtopping damage was confirmed in the case of exceeding the 45% of the design flood discharge. Therefore, the simultaneous operation with the existing spillway was important to ensure the stability on design flood discharge condition. As a result of examining the allocation ratio and the total allowable outflow, the reduction effect of maximum velocity was confirmed on the condition, where the amount of outflow on auxiliary spillway was more than that on existing spillway. It is because the flow of downstream rivers was concentrated in the center due to the outflow of existing spillway. The permissible velocity and shear stress were satisfied under the condition of less than 77% of the design flood discharge with simultaneous operation. It was found that the flood damage of downstream rivers can be minimized by setting the amount allocated to the auxiliary spillway to be larger than the amount allocated to the existing spillway for the total outflow with simultaneous operation condition. However, this study only reviewed the flow characteristics around the revetment according to the outflow of spillway under the full opening of the sluice gate condition. Therefore, the various sluice opening conditions and outflow scenarios will be asked to derive more efficient utilization of the auxiliary spillway in th future.
This paper is to examine philosophy of Jurye(周禮, national rituals) described on GyeongJeMunGam and GyeongJeMunGamByeolJip. As it is widely known, Sambong Jeong Do-Jeon (三峯 鄭道傳), regardless of evaluation by posterity, is definitely a figure who established 500 years of Joseon with almost everything handled by his own hands from presenting founding principle of Joseon to organizing the bureaucratic system. In the third year of King Taejo (1394) with Jurye as an ideological model for social innovation, Jeong Do-Jeon wrote Joseongyeonggukjeon and offered it to the king. Joseongyeonggukjeon is a sort of guide for new codes written by Jeong Do-Jeon as a part of defining culture and institutions of the new dynasty, which is based on Confucianism, the ruling idea of the new dynasty. GyeongJeMunGam supplements the section ChiJeon(治典: Articles for Governing) of JoSeonGyeongGukJeon(the first constitution of Joseon Dynasty) mainly to specify the duties and jobs of the prime minister; and also the duties and jobs of the highest secretaries of the kings, and provincial and county governors, whereas GyeongJeMunGamByeolJip consists of the section GunDo specifying the duties and jobs of the kings and the section Euiron additionally explaining about the kings' duties and jobs in the viewpoint of the philosophy of the Book of Change. That is, GyeongJeMunGam finely describes not only the changes, advantages and disadvantages of prime minister system of every dynasty of China and Korea but also the prime minister's duties/jobs and attitude for kings; and it also specifies the duties and jobs of the kings' highest secretaries, guards, provincial and county governors; on the other hand, GyeongJeMunGamByeolJip says that the king should play the symbolic figure setting their mind in right ways and train themselves with virtue through the idea of GunJuSuShin (君主修身: ) to point out a good and capable prime minister and make him govern the country without using their power fully.
Without overcoming the fragmented characteristics of the postmodern era and solving many difficulties as it is, our society is passing through a time of crisis more than ever because of Corona 19, a more rapid social disaster. As the crisis caused by the pandemic is prolonged, our society is becoming more diverse than before the coronavirus, and efforts in various fields of society are required to cultivate new capabilities to overcome social conflicts. This study started with an awareness of the necessity of reinforcing Christian civic education to fulfill the public responsibilities of Christians by recognizing the social and situational problems of this era as a public task amid in the crisis and change of the pendemic. Therefore, a meaningful work was undertaken to find an educational ministry practice frame for essential core competencies and transformative transformation competencies responding to changes in the times as education to cultivate and reinforce competencies as Christian citizens. First, the theoretical basis for competency education for Christian citizens was reviewed through the theological and Christian education theories that were studied in the situation of public theology about the public perception and social responsibility of Christians on the issues of the times. Furthermore, through this study, education to establish and cultivate the public identity of disciples-citizens as a Introductory education is explored in a multifaceted method of educational ministry, and educational methods were searched for cultivating communication competencies of Christian citizens with practical capacity of public faith. In conclusion, through this study, an educational ministry frame of identity cultivation, the core competency of recognizing the position of the public mission as a Christian citizen while living as a disciple of God's kingdom in the world and an educational frame to cultivate the ability to communicate as a transformative Christian citizen's transformative competency to carry out public tasks was systematically established, and an educational ministry convergence frame was proposed for cultivating core competencies and transformation competencies for Christian citizenship education.
In accordance with a change in the management information system containing the management record and planning for the entire national forest in South Korea by an amendment of the relevant law (The national forest management planning and methods, Korea Forest Service), in this study, average, the maximum, and the minimum values for DBH were presented while only average values were required before the amendment. In this regard, there is a need for an estimation algorithm by which all the existing values for DBH established before the revision can be converted to the highest and the lowest ones. The purpose of this study is to develop an estimation equation to automatically show the minimum and the maximum values for DBH for 12 main tree species from the data in the national forest management information system. In order to develop the estimation equation for the minimum and the maximum values for DBH, there was exploited the 6,858 fixed sample plots of the fifth and the sixth national forest inventory between in 2006 and 2015. Two estimation models were applied for DBH-tree age and DHB-tree height using such growth variables as DBH, tree age, and height, to draw the estimation equation for the maximum and the minimum values for DBH. The findings showed that the most suitable model to estimate the minimum and the maximum values for DBH was Dmin=a+bD+cH, Dmax=a+bD+cH with the variables of DBH and height. Based on these optimal models, the estimation equation was devised for the minimum and the maximum values for DBH for the 12 main tree species.
The Journal of the Convergence on Culture Technology
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v.7
no.1
/
pp.397-405
/
2021
With the recent phenomenon of the Intelligence Information Society, the cyber security paradigm has begun to change. In particular, the increase of the interconnectedness of the hyperlinked society has extended the scope of damage that can be caused by cyber threats to the real world. In addition to that, it can also be a risk to any given individual who could accompany a crisis that has to do with public safety or national security. Adolescents who are digital natives are more likely to be exposed to cyber threats, which is mainly due to the fact that they are significantly more involved in cyber activities and they also possess insufficient security comprehension and safety awareness. Therefore, it is necessary to strengthen cyber security capabilities of every young individual, so that they can effectively protect themselves against cyber threats and better manage their cyber activities. It examines the changes of the security paradigm and the necessity for cyber security education, which is in direct accordance to the characteristics of a connected society that further suggests directions and a basic system of cyber security education, through a detailed analysis of the current state of Domestic and Overseas Cyber Security Education. The purpose of this study was to define cybersecurity competencies that are necessary within an intelligent information society, and to propose a regular curriculum for strengthening cybersecurity competencies, through the comparison and meticulous analysis of both domestic and overseas educational systems that are pertinent to cybersecurity competencies. Accordingly, a cybersecurity competency system was constructed, by reflecting C3-Matrix, which is a cyber competency system model of digital citizens. The cybersecurity competency system consists of cyber ethics awareness, cyber ethics behavior, cyber security and cyber safety. In addition to this, based on the basic framework of the cybersecurity competency system, the relevant education that is currently being implemented in the United States, Australia, Japan and Korea were all compared and analyzed. From the insight gained through the analysis, the domestic curriculum was finally presented. The main objective of this new unified understanding, was to create a comprehensive and effective cyber security competency curriculum.
Kim, Jin-Hee;Kim, Dae-Jun;Seo, Bo-Hun;Kim, Kwang Soo
Korean Journal of Agricultural and Forest Meteorology
/
v.23
no.4
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pp.374-390
/
2021
Growth and yield of field vegetable crops would be affected by climate conditions, which cause a relatively large fluctuation in crop production and consumer price over years. The yield prediction system for these crops would support decision-making on policies to manage supply and demands. The objectives of this study were to compile literatures related to onion and garlic and to perform data-mining analysis, which would shed lights on the development of crop models for these major field vegetable crops in Korea. The literatures on crop growth and yield were collected from the databases operated by Research Information Sharing Service, National Science & Technology Information Service and SCOPUS. The keywords were chosen to retrieve research outcomes related to crop growth and yield of onion and garlic. These literatures were analyzed using text mining approaches including word cloud and semantic networks. It was found that the number of publications was considerably less for the field vegetable crops compared with rice. Still, specific patterns between previous research outcomes were identified using the text mining methods. For example, climate change and remote sensing were major topics of interest for growth and yield of onion and garlic. The impact of temperature and irrigation on crop growth was also assessed in the previous studies. It was also found that yield of onion and garlic would be affected by both environment and crop management conditions including sowing time, variety, seed treatment method, irrigation interval, fertilization amount and fertilizer composition. For meteorological conditions, temperature, precipitation, solar radiation and humidity were found to be the major factors in the literatures. These indicate that crop models need to take into account both environmental and crop management practices for reliable prediction of crop yield.
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