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Clinical guidelines for the treatment of patients with non-ST-segment elevation myocardial infarction (NSTEMI) recommend an invasive strategy with cardiac catheterization, revascularization when clinically appropriate, and initiation of dual antiplatelet therapy regardless of whether the patient receives revascularization. However, although patients with NSTEMI have a higher long-term mortality risk than patients with ST-segment elevation myocardial infarction (STEMI), they are often treated less aggressively; with those who have the highest ischemic risk often receiving the least aggressive treatment (the treatment-risk paradox). Here, using evidence gathered from across the world, we examine some reasons behind the suboptimal treatment of patients with NSTEMI, and recommend approaches to address this issue in order to improve the standard of healthcare for this group of patients. The challenges for the treatment of patients with NSTEMI can be categorized into four P factors that contribute to poor clinical outcomes: patient characteristics being heterogeneous; physicians underestimating the high ischemic risk compared with bleeding risk; procedure availability; and policy within the healthcare system. To address these challenges, potential approaches include: developing guidelines and protocols that incorporate rigorous definitions of NSTEMI; risk assessment and integrated quality assessment measures; providing education to physicians on the management of long-term cardiovascular risk in patients with NSTEMI; and making stents and antiplatelet therapies more accessible to patients.

Clinical guidelines for the treatment of patients with non-ST-segment elevation myocardial infarction (NSTEMI) recommend an invasive strategy with cardiac catheterization, revascularization when clinically appropriate, and initiation of dual antiplatelet therapy regardless of whether the patient receives revascularization. However, although patients with NSTEMI have a higher long-term mortality risk than patients with ST-segment elevation myocardial infarction (STEMI), they are often treated less aggressively; with those who have the highest ischemic risk often receiving the least aggressive treatment (the treatment-risk paradox). Here, using evidence gathered from across the world, we examine some reasons behind the suboptimal treatment of patients with NSTEMI, and recommend approaches to address this issue in order to improve the standard of healthcare for this group of patients. The challenges for the treatment of patients with NSTEMI can be categorized into four P factors that contribute to poor clinical outcomes: patient characteristics being heterogeneous; physicians underestimating the high ischemic risk compared with bleeding risk; procedure availability; and policy within the healthcare system. To address these challenges, potential approaches include: developing guidelines and protocols that incorporate rigorous definitions of NSTEMI; risk assessment and integrated quality assessment measures; providing education to physicians on the management of long-term cardiovascular risk in patients with NSTEMI; and making stents and antiplatelet therapies more accessible to patients.

This paper deals with the evaluation of Japanese traditional crafts, in which product items are assessed according to the so-called “Kansei” features by means of the semantic differential method. For traditional crafts, decisions on which items to buy or use are usually influenced by personal feelings/characteristics; therefore, we shall propose a consumer-oriented evaluation model targeting these specific requests by consumers. Particularly, given a consumer's request, the proposed model aims to define an evaluation function that quantifies how well a product item meets the consumer's feeling preferences. An application to evaluating patterns of Kutani porcelain is conducted to illustrate how the proposed evaluation model works, in practice., identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/9563

Evaluation for ranking is very useful for users in their decision-making process when they want to select some item(s) from a large number of items using their personal preferences. In this paper, we will focus on the evaluation of Japanese traditional crafts, in which product items are assessed according to the so-called Kansei features by means of the semantic differential method. In particular, two decision analysis based evaluation procedures, which take consumer-specified preferences on kansei features of traditional products into consideration, will be discussed and compared., Knowledge Science, Engineering and Management 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010. Proceedings, identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/9566

Evaluation for ranking is very useful for users in their decision-making process when they want to select some item(s) from a large number of items using their personal preferences. In this paper, we will focus on the evaluation of Japanese traditional crafts, in which product items are assessed according to the so-called Kansei features by means of the semantic differential method. In particular, two decision analysis based evaluation procedures, which take consumer-specified preferences on kansei features of traditional products into consideration, will be discussed and compared., Knowledge Science, Engineering and Management 4th International Conference, KSEM 2010, Belfast, Northern Ireland, UK, September 1-3, 2010. Proceedings

This paper deals with the evaluation of Japanese traditional crafts, in which product items are assessed according to the so-called “Kansei” features by means of the semantic differential method. For traditional crafts, decisions on which items to buy or use are usually influenced by personal feelings/characteristics; therefore, we shall propose a consumer-oriented evaluation model targeting these specific requests by consumers. Particularly, given a consumer's request, the proposed model aims to define an evaluation function that quantifies how well a product item meets the consumer's feeling preferences. An application to evaluating patterns of Kutani porcelain is conducted to illustrate how the proposed evaluation model works, in practice.

This paper discusses the issue of how to solve multi-criteria decision making (MCDM) problems from the target perspective. In particular, instead of making use of the traditional normalization method, it tries to calculate the probability of meeting some pre-designed targets for every criterion, where target values can be of different types: such as fuzzy number, fuzzy interval numbers and so on, and then uses weighted aggregation method to calculate the overall value for each alternative, at last selects the alternative(s) maximizing these overall values. The method is illustrated by the same application example taken from literature to compare with previous methods., The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html, Proceedings of KSS'2007 : The Eighth International Symposium on Knowledge and Systems Sciences : November 5-7, 2007, [Ishikawa High-Tech Conference Center, Nomi, Ishikawa, JAPAN], Organized by: Japan Advanced Institute of Science and Technology, identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/4125

The abstract should summarize the contents of the paper and should contain at least 70 and at most 150 words. It should be set in 9-point font size and should be inset 1.0 cm from the right and left margins. There should be two blank (10-point) lines before and after the abstract. This document is in the required format. Roadmapping, as a strategic planning tool, is attracting increasing applications in industries. By applying the principles of Interactive Planning (IP), this paper puts forward a new solution for making personal academic research roadmaps. Then this paper introduces an ongoing project that is to develop a roadmapping support system based on the solution, and gives some considerations about applying the i-System Methodology for enhancing the knowledge creation in a roadmapping process., identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/7919

The abstract should summarize the contents of the paper and should contain at least 70 and at most 150 words. It should be set in 9-point font size and should be inset 1.0 cm from the right and left margins. There should be two blank (10-point) lines before and after the abstract. This document is in the required format. Roadmapping, as a strategic planning tool, is attracting increasing applications in industries. By applying the principles of Interactive Planning (IP), this paper puts forward a new solution for making personal academic research roadmaps. Then this paper introduces an ongoing project that is to develop a roadmapping support system based on the solution, and gives some considerations about applying the i-System Methodology for enhancing the knowledge creation in a roadmapping process.

This paper discusses the issue of how to solve multi-criteria decision making (MCDM) problems from the target perspective. In particular, instead of making use of the traditional normalization method, it tries to calculate the probability of meeting some pre-designed targets for every criterion, where target values can be of different types: such as fuzzy number, fuzzy interval numbers and so on, and then uses weighted aggregation method to calculate the overall value for each alternative, at last selects the alternative(s) maximizing these overall values. The method is illustrated by the same application example taken from literature to compare with previous methods., The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html, Proceedings of KSS'2007 : The Eighth International Symposium on Knowledge and Systems Sciences : November 5-7, 2007, [Ishikawa High-Tech Conference Center, Nomi, Ishikawa, JAPAN], Organized by: Japan Advanced Institute of Science and Technology