A study of scientific methods in a study of comparative on the oriental medicine and the western medicine evidence to find on the cause-effect relationship. The rationality in a study of process and the confidence in a study of result were improved by a study of methods on the cause-effect relationship. Also a comparative study on the Jeong(精) of the oriental medicine and the cell of the western medicine, after established a model of the cause-effect relationship secured a suitability of a comparative subject and operationalization of a comparative variable to the rationality in a study of process. The Jeong(精) and the cell are the character of a unit and the character of a matter on the human body. The Jeong(精) and the cell are a point of similarity in the function. The Jeong(精) and the cell are a relation in the mechanism. Our paper reviewed a study of comparative methods on the oriental medicine and the western medicine, and suggest an identic interpretation on the human body.
Journal of the Korean Association of Oral and Maxillofacial Surgeons
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v.39
no.5
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pp.203-206
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2013
Statistics is the science of data. As the foundation of scientific knowledge, data refers to evidentiary facts from the nature of reality by human action, observation, or experiment. Clinicians should be aware of the conditions of good data to support the validity of clinical modalities in reading scientific articles, one of the resources to revise or update their clinical knowledge and skills. The cause-effect link between clinical modality and outcome is ascertained as pattern statistic. The uniformity of nature guarantees the recurrence of data as the basic scientific evidence. Variation statistics are examined for patterns of recurrence. This provides information on the probability of recurrence of the cause-effect phenomenon. Multiple causal factors of natural phenomenon need a counterproof of absence in terms of the control group. A pattern of relation between a causal factor and an effect becomes recognizable, and thus, should be estimated as relation statistic. The type and meaning of each relation statistic should be well-understood. A study regarding a sample from the population of wide variations require clinicians to be aware of error statistics due to random chance. Incomplete human sense, coarse measurement instrument, and preconceived idea as a hypothesis that tends to bias the research, which gives rise to the necessity of keen critical independent mind with regard to the reported data.
The purpose of study carried out to determine the effect of informativeness influeucing the state-Anxiety of Hysterectomy patient, the relationship between Hysterectomy patient's general characteristics on State-Anxiety. and to investigation the cause of hysterectomy patient's Anxiety, the relationship between the cause of Anxiety and State-Anxiety. This stuad carried out between April 14. to May 24. 1983. This study sample consisted of 104 Hysterectomy patient who admitted to department of obstetrics of Seoul National University Hospital, Korea University Hospital, Han Yang University Hospital and Seung Nam Hospital. The Sample were divided into two groups; fifty two of experimental and fifty two of control group. The method used for the collection of data were set of information prepared by reseacher and state-Anxiety Inventory, The Questionnaire of state-Anxiety Inventory was made up 20 items. The data was analyzed by computer program. The results of the study were as follows. 1. There was shown state Anxiety to be alleviated by experimental group and control group. 2. There was significant relation between experimental group and control group. (p<0.01) 3. There was relation of state-Anxiety by education Level: Experimental group (p<0.05) control group (p<0.05) religion : only control group (p<0.05)economic state : only control group (p<0.05) The people who encouraged hysterectomy: Experimental group (p<0.05) control group (p<0.0001) 4. The cause of preoperative anxiety about hysterectomy were as follows: 1) destruction of body image(=loss of uterus) 2) husband's attitude 3) Expactation that hysterectomy will adversely affect sexual relation 5. Among the cause of Anxiety, R²for state-Anxiety were as follows: 1) economic state 17.3% 2) deatch 21.6% 3) Expactation that hysterectomy will adversely affect sexual relation 24.5%.
The idea that an effect counterfactually depends on its cause is simple and intuitive. However, this simple idea runs into various difficulties. The active route account, in order to avoid the difficulties, analyzes causation in terms of counterfactual dependence under certain control. In her recent article, Seahwa Kim criticizes Sungsu Kim's earlier attempt to defend the active route account from its counterexamples. Her criticisms are convincing, and defenders of the active route account or counterfactual analysis of causation in general need another defense. In response, a two-step defense is proposed. First, the scope of the active route account is restricted to 'proximate' causal relation. Second, a control over factors that are in proximate causal relation is offered to figure out 'distant' causal relation. The result is that with proper control, an effect indeed counterfactually depends on its cause.
The purposes of this study are to define the family life events as a input factor of system model and to understand structural characteristics of the family life events in the modern multilateral society have and orientation of the management system leads a satisfactory life. This study attempted through the relation of cause and effect among the components of management system by Deacon & Firebaugh systems theory. The findings of this study are as follows: 1) As for the influence of family life events on the orientation of home management behavior the influential family life event on overall the orientation of home management behavior was social problem of family members($\beta$= -128). 2)Family life events which have influence on the family life satisfaction were financial problem and trouble with husband members problems demand for housework and everyday affairs. 3) The subdivison of home management behavior which influenced on the overall family life satisfaction were communication and decision originality the use of resources and the flexibility of plan. 4) Results of path analysis revealed that relation of cause and effect out of family life events resources the patterns of home management behavior and family life satisfaction the family life events made the family life satisfaction higher because they had negative effect on the family life satisfaction directly but changed total effect into positive one by family management behavior.
The Transactions of The Korean Institute of Electrical Engineers
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v.61
no.6
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pp.821-826
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2012
The streaming electrification process of vegetable insulating oils occurring when the oils contacted with solid material in a high power transformer circulation system seems to cause electrical discharge incidents and may cause failures. We therefore measured the dielectric breakdown voltage tendency of vegetable insulating oils flowing on the surface of the charging device with various velocity and temperature. First, the relation between the velocity and breakdown voltage tendency of vegetable oils, can be explained by volume effect and v-t effect. Second, experimental results show that applied voltage have little effect on dielectric breakdown voltage, when vegetable insulating oils used for large power transformer.
As a major obstacle to active online purchase at the level of consumer in China, distrust is raised in this study. Most of previous studies showed that trust is a major variable to cause a relational unity between company and consumer, on the other hand, this study attempts to show that according to the two dimensional point of view regarding trust each dimension of both trust and distrust distinctly contributes to marketing achievement. Interaction, perceived popularity, information usefulness, perceived security risk and perceived dealing risk were created as preceding variable, trust and distrust were constituted as parameter and relation absorption and purchase intention as consequential variable. These variables were analyzed with structural equation modeling (SEM) in LISREL 8.3 program. The results for this study are as follows. First, relation between exchange actors in marketing is divided into two concepts of trust and distrust differently from the previous studies. On the assumption that trust and distrust might exist simultaneously and they would distinctly have an influence on marketing consequency such as relation absorption and repurchase intention, it is identified that trust and distrust are a different dimension in online context. Second, the formative factor of online trust-distrust is identified and it is shown what relationship between internet shopping mall and relation absorption and foregoing purchase intention resulting from online trust-distrust exists. Third, it is shown that in online context the formative factor of online trust-distrust is distinctly contributed to relation absorption and repurchase intention. It is suggested that trust needs to be managed two-dimensionally separating from trust and distrust. Fourth, it is shown that both trust and distrust factor in terms of relation absorption and repurchase intention of consumer in internet shopping mall are significant variables. Trust is linked with repurchase intention through relation absorption, however, distrust is not directly linked with repurchase intention through relation absorption. Thus, the ripple effect of distrust appears to be much higher than that of trust.
It is difficult to examine the causal relation of pollution damages because the time gap between pollution cause and effect is large and new pollutants are continuously being produced. Their many environmental effects are not promptly studied. As both the study of causal relation about pollution and the pollutant treatment are becoming highly advanced by the development of science and environmental technology, both the economy and balance on environmental regulation may be discussed. It is reasonable to decide environmental policy in consideration of close relation between both the generation and resolution of environmental problems and of technological developments because environmental problems are related to complicated social problems and scientific technologies. First item in policy decision about environmental control and management is preferentially to consider the way of prevention. It is necessary to prevent pollution by regulating the installment of environmental pollution facility into the environmentally sensitive areas, like water supply source and to regulate land utilization as a method to achieve pollution prevention. Second is a consideration of environmental technology development. This is a solution which can accomplish the development of environmental technology and the reinforcement of economic competition. Third is the coexistence of environment and economy. It is necessary to consider economy in connection with environmental problems and environment in economic problem. Then, we can enjoy a healthy life as well as economic affluence. Fourth is the enlargement of environmental management means. Environmental management means must be diversified because environmental cause and effect are varied. For Improving the land use regulation system, it is necessary to consider both land use regulation status and pollutant toxicity with the development of environmental technology. Land use must be approached by classifying land to 3 levels; water source protection zone and water front zone, special zone 1 and 2, rancus and other zones. Land regulation policy to prevent any accident in water source protection zone, waterfront zone, and special zone must be continuously upgraded. However, economical consideration in other zones is required by the development of environmental technology.
Many studies states that improperly uprising of infrastructure may cause leading the forest degradation and canopy reduction in many tropical forest of Asian countries. Other studies revealed that habitat destruction and fragmentation, edge effects, exotic species invasions, pollution are provoked by roads. Similarly, environmental effects of road construction in forests are problematic. Similarly, many researches have been indicated that roads have a far greater impact on forests than simply allowing greater access for human use. Moreover, people using river as means of transportation hence illegal logging and felling cause canopy depletion in many countries. Therefore, it is important to comprehend the study about spatial relation of road, river and suburb followed by temporal change of forest canopy phenomena. This study also tried to examine the effect of road, river and suburb in forest canopy density change of Terai forest of Nepal from you 1988 to 2001. So, Landsat TM88, 92 and 001 and FCD (Forest Canopy Density) mapper were used to perform the spatial .elation of canopy density change. ILWIS (Integrated Land and Water Information System) which is GIS software and compatible with remote sensing data was used to execute analysis and visualize the results. Study found that influence of distance to suburb and river had statistically significance influenced in canopy change. Though road also influenced canopy density much but didn't show a statistical relation. It can be concluded from this research that understanding of spatial relation of factors respect with canopy change is quite complex phenomena unless detail analysis of surrounding environment. Hence, it is better to carry out comprehensive analysis with other additional factors such as biophysical, anthropogenic, social, and institutional factors for proper approach of their effect on canopy change.
KSII Transactions on Internet and Information Systems (TIIS)
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v.16
no.10
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pp.3230-3255
/
2022
Causality mining in NLP is a significant area of interest, which benefits in many daily life applications, including decision making, business risk management, question answering, future event prediction, scenario generation, and information retrieval. Mining those causalities was a challenging and open problem for the prior non-statistical and statistical techniques using web sources that required hand-crafted linguistics patterns for feature engineering, which were subject to domain knowledge and required much human effort. Those studies overlooked implicit, ambiguous, and heterogeneous causality and focused on explicit causality mining. In contrast to statistical and non-statistical approaches, we present Bidirectional Encoder Representations from Transformers (BERT) integrated with Multi-level Feature Networks (MFN) for causality recognition, called BERT+MFN for causality recognition in noisy and informal web datasets without human-designed features. In our model, MFN consists of a three-column knowledge-oriented network (TC-KN), bi-LSTM, and Relation Network (RN) that mine causality information at the segment level. BERT captures semantic features at the word level. We perform experiments on Alternative Lexicalization (AltLexes) datasets. The experimental outcomes show that our model outperforms baseline causality and text mining techniques.
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