The parties in International Sale of Goods including Korean Firms Should note ; The buyer must pay the price for the goods and take delivery of them as required by the contract and CISG. The obligations mentioned in Article 53 are primary obligations which are to be fulfilled in the normal performance of the contract. The buyer has to take delivery at the respective place within a reasonable period after this communication since he cannot be required to take delivery immediately. Refusing to take delivery in case of delay not constituting a ground for avoiding the contract makes no sense, since this would lead to even later delivery. The buyer's obligation to pay the price includes taking such steps and complying with such formalities as may be required under the contract or any laws and regulations to enable payment to be made. International sales contracts frequently prescribe that the buyer has to act in advance, that is before the seller starts the process of delivery. Such acts may be either advance payments or the procurement of securities for payment as letters of credit guarantees. On the other hand, The seller deliver the goods hand over any documents relating to them and transfer the property in the goods, as required by the contract and CISG. The seller must deliver goods which are of the quantity, quality and description required by the contract and which are contained or packaged in the manner required by the contract. Except where the parties have agreed otherwise, the goods do not conform with the contract unless they are fit for the purposes for which goods of the same description would ordinarily be used are fit for any particular purpose expressly or impliedly made known to the seller at the time of the conclusion of the contract, except where the circumstances show that the buyer did not rely, or that it was unreasonable for him to rely, on the seller's skill and judgement. The buyer may declare the contract avoided if the failure by the seller to perform any of his obligations under the contract or CISG amounts to a fundamental breach of contract. The seller may declare the contract avoided if the failure by the buyer to perform any of his obligations under the contract or CISG amounts to a fundamental breach of contract.
Park, So-Young;Cha, Myeonghwa;Yang, Ji-Hye;Ryu, Kyung
Journal of the Korean Dietetic Association
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v.18
no.2
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pp.170-185
/
2012
The purpose of this study was to explore nutrition teachers/dietitians' perception towards production management practices as well as the importance & performance of nutrient preservation during production by school foodservices. A total of 120 school nutrition teachers/dietitians in the Daegu area participated in this study. The data were analyzed by descriptive analysis, t-test, and ANOVA using SPSS/Windows (ver 17.0). A questionnaire consisted of three dimensions with 66 items concerning the general characteristics of schools and respondents, production management practices, and perceived importance and performance of nutrient preservation. Exactly 79.2% of dietitians responded that scheduling of production management is necessary, and 52.5% of respondents perceived that their knowledge for nutrient preservation is of normal/average level. Thirty-eight percent of respondents did not establish scheduling of production management; according to them, cooking stage has priority over other stages of nutrient preservation. Perceived importance score was higher than perceived performance score in all stages of production management. The difference between perceived importance and performance in the production scheduling stage was found to be statistically significant. The results indicate that nutrition control point should be established and managed to prevent nutrient loss in all production stages. Further, dietitians who do not take measures to reduce nutrient loss should be carefully educated on the importance of nutrient control and be motivated to follow guidelines on nutrient preservation.
This paper presents a constrained-based routing (CBR) algorithm called, Dynamic Possible Path per Link (D-PPL) routing algorithm, for MultiProtocol Label Switching (MPLS) networks. In MPLS on-line routing, future traffics are unknown and network resource is limited. Therefore many routing algorithms such as Minimum Hop Algorithm (MHA), Widest Shortest Path (WSP), Dynamic Link Weight (DLW), Minimum Interference Routing Algorithm (MIRA), Profiled-Based Routing (PBR), Possible Path per Link (PPL) and Residual bandwidth integrated - Possible Path per Link (R-PPL) are proposed in order to improve network throughput and reduce rejection probability. MIRA is the first algorithm that introduces interference level avoidance between source-destination node pairs by integrating topology information or address of source-destination node pairs into the routing calculation. From its results, MIRA improves lower rejection probability performance. Nevertheless, MIRA suffer from its high routing complexity which could be considered as NP-Complete problem. In PBR, complexity of on-line routing is reduced comparing to those of MIRA, because link weights are off-line calculated by statistical profile of history traffics. However, because of dynamic of traffic nature, PBR maybe unsuitable for MPLS on-line routing. Also, both PPL and R-PPL routing algorithm we formerly proposed, are algorithms that achieve reduction of interference level among source-destination node pairs, rejection probability and routing complexity. Again, those previously proposed algorithms do not take into account the dynamic nature of traffic load. In fact, future traffics are unknown, but, amount of previous traffic over link can be measured. Therefore, this is the motivation of our proposed algorithm, the D-PPL. The D-PPL algorithm is improved based on the R-PPL routing algorithm by integrating traffic-per-link parameters. The parameters are periodically updated and are dynamically changed depended on current incoming traffic. The D-PPL tries to reserve residual bandwidth to service future request by avoid routing through those high traffic-per-link parameters. We have developed extensive MATLAB simulator to evaluate performance of the D-PPL. From simulation results, the D-PPL improves performance of MPLS on-line routing in terms of rejection probability and total throughput.
Objective: This study is a descriptive research study aimed to identify the needs of self-reinforcement education by applying IPA(Important-Performance-Analysis) techniques to develop the health care empowerment programs for the elderly with hypertension. Methods: The subjects of this study were 128 elderly people with hypertension over 65 years of age in areas A and B, and data were collected from 6 researchers and research assistants from May 11 to June 26, 2020. The collected data were analyzed by frequency analysis, descriptive statistics, and t-test. Results: Although the question with the highest education demands were 'I try to get my health care providers to my preferences for my treatment.' and with the greatest difference between importance and performance is the question 'I take my commitment to my treatment seriously'. Conclusion: From the results of this study, it is considered that a strategy that reflects the components of educational needs and healthcare empowerment is necessary when developing healthcare empowerment programs for the elderly with hypertension.
Oni, O.O.;Adeyinka, I.A.;Afolayan, R.A.;Nwagu, B.I.;Malau-Aduli, A.E.O.;Alawa, C.B.I.;Lamidi, O.S.
Asian-Australasian Journal of Animal Sciences
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v.14
no.11
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pp.1516-1519
/
2001
The data consisted of 369 lactation records for calvings over a sixteen-year period (1972-1987) and included only cows that had normal milk records. The data were analysed using a linear model containing the fixed effects of parity, year of calving and season of calving. The least squares means${\pm}$S.E. were $1,273{\pm}58.4kg$ for milk yield, and for post-partum body weight (kg) at 2, 3 and 4 months after calving were $343.40{\pm}3.96$, $346.10{\pm}4.10$ and $352.54{\pm}4.26$, respectively. With the exception of season of calving, the effects of parity and year of calving were significant (p<0.01) on the performance of the animals. Thus, the mean-milk yields 1162, 1351 and 1350, were similar for pre-, peak- and post rainy seasons, respectively. On the other hand, as parity increased from 1 to 3, milk yield also increased, but thereafter, there was a gradual decline in milk yield. Similarly, post-partum body weight also increased with parity. However, no consistent pattern for year effect was observed which probably was a reflection of the variation in climatic conditions, or forage quality and/or availability. The phenotypic correlations between milk yield and post-partum body weights were negative and small (ranging from -0.01 to -0.08). However, high milk production in cows was associated with longer calving interval. The implications from the phenotypic correlations are suggestive of one or two possibilities. Firstly, selection for increased body weight may actually result in decreased milk yield. Also, a substantial genetic antagonism may exist between milk yield and fertility in the crossbred cows. Therefore, it is important that selection to improve milk production should take into consideration the reproductive performance of the cows.
Recent advancements of permanent magnet (PM) materials and solid-state devices have contributed to a substantial performance improvement of permanent magnet machines. Owing to the rare-earth PMs, these motors have higher efficiency, power factor, output power per mass and volume, and better dynamic performance than induction motors without sacrificing reliability. Not surprisingly, they are continuously receiving serious considerations for a variety of automotive and propulsion applications. An electric vehicle (EV) requires a high-effficient propulsion system having a wide operating range and a capability of generating a high peak torque for short durations. The improvement of torque-speed performance for these systems is consequently very important, and researches in various aspects are therefore being actively pursued. A great emphasis has been placed on the efficiency and optimal utilization of PM machines. This requires attention to many aspects related to the machine design and overall performance. In this respect, the prediction of iron losses is particularly indispensable and challenging, especially for drives with a deep field-weakening range. The objective of this paper is to present iron loss estimations of a PM motor over a wide speed range. As aforementioned, in EV applications core losses can be significant during high-speed operation and it is imperative to evaluate these losses accurately and take them into consideration during the motor design stage. In this investigation, the losses are predicted by using an analytical model and a 2D time-stepped finite element method (FEM). The results from different analytical approaches are compared with the FEM computations. The validity of each model is then evaluated by these comparisons.
Chemical Process industry in Korea has over 30 year's of history and is likely to face potential incidents. The traditional risk analysis and control system in Chemical Process industry focuses on mechanical defects, overlooking the human performance control. Although development of automation technology and controlling technology was necessary, human decision factor is essential to preventing accidents in the Chemical Process. Almost all serious accidents take place when inappropriate humanperformance and mechanical defects of safety equipments simultaneously occurs. The AHRA(Advanced Human Reliability Analyzer) software has been developed to collect failure data and analyze human error probability (Reliability) in Chemical Process Industry in Korea. This paper describes the HRA analysis result of PIF(Performance Influencing Factor) evaluation, HEP(Human Error Probability) and root cause of accidents by applying a Chemical Process Industry related accident data. This analysis result should present a scheme that, by controlling human error factor other than putting safety management funds into the machinery in plants, can reduce cost and maximize the safety in Chemical Process Industry.
Khalid, Shahzaib;Syed, Muhammad Shehram Shah;Saba, Erum;Pirzada, Nasrullah
International Journal of Computer Science & Network Security
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v.22
no.5
/
pp.175-181
/
2022
COVID-19 is an acute respiratory syndrome that affects the host's breathing and respiratory system. The novel disease's first case was reported in 2019 and has created a state of emergency in the whole world and declared a global pandemic within months after the first case. The disease created elements of socioeconomic crisis globally. The emergency has made it imperative for professionals to take the necessary measures to make early diagnoses of the disease. The conventional diagnosis for COVID-19 is through Polymerase Chain Reaction (PCR) testing. However, in a lot of rural societies, these tests are not available or take a lot of time to provide results. Hence, we propose a COVID-19 classification system by means of machine learning and transfer learning models. The proposed approach identifies individuals with COVID-19 and distinguishes them from those who are healthy with the help of Deep Visual Embeddings (DVE). Five state-of-the-art models: VGG-19, ResNet50, Inceptionv3, MobileNetv3, and EfficientNetB7, were used in this study along with five different pooling schemes to perform deep feature extraction. In addition, the features are normalized using standard scaling, and 4-fold cross-validation is used to validate the performance over multiple versions of the validation data. The best results of 88.86% UAR, 88.27% Specificity, 89.44% Sensitivity, 88.62% Accuracy, 89.06% Precision, and 87.52% F1-score were obtained using ResNet-50 with Average Pooling and Logistic regression with class weight as the classifier.
Purpose : To check the legal relation between rescue team and patient as well as legal responsibility for patient's damage intentionally or erroneously caused by rescue member, a public official, in the performance of relevant job ; to prevent legal dispute over rescue team and to present program for fair settlement of dispute and equitable and feasible burden of damage. Method : First, the legal principle of Civil Law, Criminal Law and Administrative Law related to the theme of this research will be investigated around research by literature. Second, the case of dispute related to rescue team will be introduced. Result: 1. If 119 rescue members as a public official intentionally or erroneously cause damage to patient in the performance of job, they shall bear civil, criminal and administrative responsibility. They shall bear civil responsibility for indemnity for damage due to default or tort. The typical criminal responsibility includes accidental homicide arising out of duty, preparing falsified official document, dereliction of duty, etc. In the administrative side, the state is responsible for indemnity for peculiar status of the rescue member, public official. 2. Though raising civil petition or legal dispute over unsatisfactory rescue service may be reasonable to guarantee the right of nation, such action may cause stress to rescue member as well as may lead to mental shrinking and defensive attitude only to take the basic first aid treatment which has low possibility of mistake instead of active first aid treatment so as to avoid legal responsibility. 3. The program that may prevent legal dispute over 119 rescue team includes expansion of manpower specialized in first aid treatment, enhancement of education on legal environment, development and application of standard job guideline, formation of mutual trust with patient, detailed explanation, preparing and keeping minute record, improvement of the rescue members' ability of first aid treatment and development of medical instruction mode. Conclusion : The best policy is to prevent legal dispute. If it is impossible to basically exclude the possibility of dispute, however, we need to make effort to minimize the occurrence, settle fairly and divide damage equitably and feasibly. To improve the preventible death rate of our first aid system to the level of advanced country, 119 rescue team which is in charge of the stage before hospital needs to positively enforce special first aid by improving the qualitative level of rescue service and to strive to prevent legal dispute that may occur in the process.
This study shows that a sustainable competitive advantage and entrepreneurial characteristics are necessary for a software company to achieve competitive innovation and growth. This study investigates various software company characteristics and the effects of various company factors as its main research objectives. The data used in this research model were collected from software companies in South Korea. A total of 211 questionnaires were collected over a period of two months in 2013. EXCEL, AMOS, and SPSS were used to derive the study results. The hypothesis testing results of this study are as follows. First, a software company's entrepreneurial innovativeness and risk-taking behaviors have a positive influence on software innovativeness. A greater sense of innovativeness and entrepreneurial orientation leads to a higher propensity to take risks in software development. Second, the characteristics of software innovativeness, and flexibility have a significant influence on software company performance. Innovation during the initial periods of software usage can create a high demand for improvements and new features, requiring a flexible software design. Finally, this study analyzes the software features of entrepreneurial characteristics and the influence of institutional factors on the characteristics of individual innovativeness and software development. Entrepreneurial characteristics can affect governmental or institutional support, policies, and legal frameworks to promote the role of software innovativeness. The results of this study imply that software companies can adopt an entrepreneurial approach to promote technology development and product development for achieving a competitive advantage in the industry. This study also analyzes the environmental factors that affect the software industry and their implications for policy makers.
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