Purpose - Prior research has suggested that consumers typically prefer to have a larger number of options. However, preference of assortment size may depend on how depleted resources in consumers' mind are. Reduced capacity for self-regulation by resource depletion makes people rely on more intuitive and less effortful decision processing. When they are mentally depleted, people are likely to focus on the choice difficulty from large assortment, which leads to preference for the small assortment when they make a decision. It could be an important question potentially how being in a depleted mode through effortful self-regulation will influence on the evaluation of assortment size. To answer this questioner, we hypothesized that being engaged in self-regulation, as compared with not being engaged in self-regulation, will influence on the evaluation of product assortment size such as attractiveness, difficulty of choice, and anticipated regret. Research design, data, and methodology - In this study, we first manipulated self-regulatory resource availability using a self-regulation task (i.e., instructing participants to solve Sudoku puzzle vs. to solve diagram cube by filling any diagrams that they prefer into cube instead of number) and asked to indicate the difficulty of the tasks available to them ("How much difficulty did you feel when you complete the task?") Next, participants were asked to imagine that they were planning to buy a laptop at one of the two stores (small assortment: 6 options vs. large assortment: 30 options), both offering good quality of products. After reading the product descriptions, participants were instructed to consider all the information and choose a store that they would like to shop. Finally we measured the choice difficulty, evaluation of product assortments, and anticipated regret on a 7-point scale. We conducted two-way ANOVA in testing the main hypothesis that depleted consumers will show poorer subsequent self-control than non-depleted consumers when they make a decision in large assortment. Results - Compared with non-depleted participants, depleted participants showed the bigger difference from the degree of choice difficulty and product attractiveness between large and small assortments, but the result revealed only a significant interaction effect of resource depletion and assortment size on choice difficulty. Also depleted participants showed the smaller difference from the degree of anticipated regret between large and small assortments than non-depleted participants. Conclusion - Depleted individuals by a prior task are relatively effortless and intuitive form of choosing products so that they try to avoid making effortful trade-offs among choice difficulty such as large assortment, compare with non-depleted individuals. However, for anticipated regret, non-depleted individuals in small assortment anticipate more regret by excluding or at least restricting the possibility of buying attractive items or another kind of potential items than depleted individuals, regardless less choice difficulty in small option. To sum up, it is important to note that individuals are influenced by self-regulatory resources and their self-regulatory conditions contribute to the overall positive or negative impact of product assortment on choice.
Park, Seo Hye;Jegal, Seung;Ahn, Seong Kyu;Jung, Haneul;Lee, Jinyoung;Na, Byoung-Kuk;Hong, Sung-Jong;Bahk, Young Yil;Kim, Tong-Soo
Parasites, Hosts and Diseases
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제58권2호
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pp.147-152
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2020
Malaria is a potent burden on public healthcare worldwide due to requiring rapid diagnosis and treatment. Nowadays, prompt diagnosis with rapid diagnostic tests (RDTs) has been widely accepted as an effective diagnostic technique in malaria-endemic countries, primarily due to their easy operation, fast output, and straightforward interpretation. The global availability and use of RDTs have gradually grown over recent decades as field-applicable diagnostic tests for the reliable confirmation of malaria infection and proper case management. This study was conducted to evaluate diagnostic performance of 3 commercially available malaria RDT kits : BIOCREDITTM Malaria Ag Pf(pLDH), Malaria Ag Pf(pLDH/pHRPII), and Malaria Ag Pf/Pv(pLDH/pLDH) (where pLDH and pHRPII stand for plasmodium lactate dehydrogenase and histidine-rich protein 2, respectively) for the specific detection of Plasmodium falciparum. A total of 1,129 blood samples including 95 blood samples, confirmed as vivax malaria infection by microscopic examinations and a nested-PCR method, were tested for falciparum malaria infection. The overall sensitivity and specificity of Malaria Ag Pf(pLDH/pHRPII), Malaria Ag Pf/Pv(pLDH/pLDH), and Pf(pLDH) for P. falciparum were 99.0% and 100%, 95.8% and 100%, and 100% and 100%, respectively. It is proposed that the 3 RDT kits perform reliable level of diagnostic accuracy of detection for P. falciparum parasites.
KIPS Transactions on Computer and Communication Systems
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제7권12호
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pp.295-300
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2018
The rapid development of IT, many conventional passive jobs have been automated. This automation increases the leisure time of many people and various services are being developed for them. In addition, with the advent of smart devices that are compact and portable, it is possible to use various internet services without any time and place discretion. Various studies based on virtualization are under way to efficiently store and process large data generated by many devices and services. Desktop Storage Virtualization (DSV), which integrates and provides users with on-premise-based distributed desktop resources during these studies, uses virtualization to consolidate unused resources within distributed, legacy desktops. This DSV is very important for providing high reliability to users. In addition, research on hierarchical structure and resource integration for efficient data distribution storage processing in a distributed desktop-based resource integration environment is underway. However, there is a lack of research on efficient operation in case of server failure in on-premise resource integration environment. In this paper, we propose Non-disruptive Server Management (NSM) which can actively cope with the failure of desktop server in distributed desktop storage environment based on on-premise. NSM is easy to add and remove desktops in a desktop-based integrated environment. In addition, an alternative server is actively performed in response to a failure occurrence.
Nowadays, Global Navigation Satellite System(GNSS) which is the new concept of positioning system has been developed because of satisfaction human's intelligent desire and rapid science development. GNSS which is represented by GPS provides 3-Dimension positioning information not expensively in whenever, wherever. The industry of positioning information has extending civil market widely as well as military market. So GNSS is running the role of society infra structure including car and airborne navigation, civil engineering, GIS resource, telematics and LBS, and so on. As USA removes the SA(Selective Availability), GPS has monopolizing the market and other countries have been depended on GPS, absolutely. In this paper, the author developed the software for analysis of influence using next generation, Galileo system. The local analysis was performed according to positioning mode. And GPS/Galileo combined system can implement positioning in the worst mask environment like urban cannon.
During acute stages of hospitalized stroke patients, family caregivers face many challenges. They often experience emotional distress, social isolation, and financial constraints. However, the burden of caregiving of stroke patients in acute stages has never been studied properly. The purpose of this study was to investigate the factors related to the caregivers' burden with acute stroke. The subjects were 123 acute stroke patients and their caregivers who were admitted to neurology and neurosurgery units at Dan Kook University Hospital in Chung-Nam area. An interview was performed with the use of standardized questionnaire which included data pertaining to the patients/caregivers characteristics, caregiver burden (Modified Zarit's Burden Scale), and social support (Personal Resource Questionnaire). Our results showed that the mean burden score was 3.11, indicating high level of burden. Among the sub-domain scores, financial burden was the highest. In univariate analysis, the factors related to caregiver burdens were: inability to communicate between patients and caregiver(p<.001); low cognitive function of the patients(p<.001); low level of ADL(p<.001); the gender of caregiver(p<.001); the current employment status of caregivers(p<.01); the presence of social support for caregiver(p<.001); and the availability of alternative caregivers(p<.001). In multiple regression analysis, social support for family caregivers (87%), low level of patient's cognition (2%), availability of 2nd caregiver (1%), and gender of caregiver (female, 0.4%) were significant explanatory factors of overall burden. The caregivers' burden in acute stages during hospitalization following stroke was high. Recognition of high levels of caregivers' burden and those relating factors affecting caregiver burden may allow us to develop different nursing strategies to unload the level of burden for caregivers in acute stages of stroke.
Sensor nodes in wireless network have several limitations such as lack of energy resource and network bandwidth. There are many researches to extend lifetime of sensor network and enhance availability. However, most of the previous researches didn't consider the mobile sink node. Those researches aren't suitable in the environment having mobile sinks. In this paper. we propose a scheme that reduces communication overheads and energy consumptions and improves reliability in routing path setup. Proposed scheme has excellent scalability without degrading performance in environment where many sink nodes exist and/or the network size is huge. Proposed scheme saves the energy consumption up to 70% in comparison with the previous grid-based and cluster-based protocol. As a result, proposed scheme increases the lifetime of sensor network and enhances availability of wireless sensor network.
With the explosive growth of smart phones and efficiency, the Android of an open mobile operating system is gradually increasing in the use and the availability. Android systems has proven its availability and stability in the mobile devices, the home appliances's operating systems, the IoT products, and the mechatronics. However, as the usability increases, the malicious code based on Android also increases exponentially. Unlike ordinary PCs, if malicious codes are infiltrated into mobile products, mobile devices can not be used as a lock and can be leaked a large number of personal contacts, and can be lead to unnecessary billing, and can be cause a huge loss of financial services. Therefore, we proposed a method to detect and delete malicious files in real time in order to solve this problem. In this paper, we also designed a method to detect and delete malicious codes in a more effective manner through the process of installing Android-based applications and signature-based malicious code detection method. The method we proposed and designed can effectively detect malicious code in a limited resource environment, such as mobile environments.
Panta, Menaka;Kim, Kye-Hyun;Neupane, Hari Sharma;Joshi, Chudamani
Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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한국GIS학회 2008년도 공동추계학술대회
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pp.153-161
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2008
Agriculture and forest are basis for livelihood in Nepal while both sectors constitute around 40 percent of the national product and over two-thirds of the economically active population is dependent on agriculture. However, radical changes in land use, depletion in crops production and food availability are major threats due to loss of soil fertilityand severe environmental degradation. In this study, we used time series data from 1986/87 to 2005/06 about food crop production and population published by Government of Nepal, Ministry of Agriculture and Cooperatives and Central Bureau of Statistics. Descriptive statistics and ArcGIS were used to assess and map the food security status of Nepalese Terai based on the local food demand and supply system. Food supply to demand ratio(FSDR) was the main idea of assessment. Our results showed that out of 20 districts, only 8 districts were categorised under secured food districts whereas 5 districts were still under food unsecured situation. The analysis further revealed that 7 districts had faced food deficit more than 8-16 times during the last 20 year periods. Data further showed that there was surplus food supply relative to the requirements dictated by FSDR. However, the average FSDR was less than 1.2(less than 20% surplus) exploring fact that most of the districts were not producing sufficient food to cope up the food shock and after 1995 it was relatively stagnant. Our prediction reveals that food supply in Terai even in the future would remain at almost the same level as now, and there will not more than 16-17% surplus by 2021 considering medium vibrant population growth. The findings thus, indicate that Terai may not be a food secure region in the future, even though the region is considered as a food storage house of Nepal. In addition, this paper suggests ways to make future comprehensive case studies more widely comparable in Terai, Nepal.
Nowadays, Global Navigation Satellite System(GNSS) which is the new concept of positioning system has been developed because of satisfaction human's intelligent desire and rapid science development. GNSS which is represented by GPS provides 3-Dimension positioning information not expensively in whenever, wherever. The industry of positioning information has extending civil market widely as well as military market. So GNSS is running the role of society infra structure including car and airborne navigation, civil engineering, GIS resource, telematics and LBS, and so on. As USA removes the SA(Selective Availability), GPS has monopolizing the market and other countries have been depended on GPS, absolutely. In this paper, the author developed the software for analysis of influence using next generation, Galileo system. The local analysis was performed according to positioning mode. And GPS/Galileo combined system can implement positioning in the worst mask environment like urban cannon.
In 2010, the Ministry of National Defense decided to build a MegaCenter including the cloud computing technology by 2014, as part of the '2012 Information Service Plan', which is now underway. The Cloud computing system environment should be designed applying cloud computing technology and policy for an efficient infrastructure that many IT resources are available in the data center as a concentrated form. That is, the system should be designed in such a way that clouding services will be efficiently provided to meet the needs of users and there will not be unnecessary waste of resources. However, in order to build an optimal system, it should be possible to predict the service performance and the resource availability at the initial phase of system design. In this paper, using the CloudAnalyst simulator to predict availability of the K-defence cloud computing system service, conducts cloud modeling and analysis of the 'Facebook', one of the most famous social network service applications with most users in the world. An Optimal K-Defense cloud computing design model is proposed through simulation results.
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