• Korean Journal of Adult Nursing
• /
• v.24 no.5
• /
• pp.540-545
• /
• 2012

Purpose: The purpose of the study was to compare level of functional independence and its correlates among community-dwelling older adults in rural areas between South Korea and the United Sates. Methods: The study employed a comparative and correlational design. Data were collected from 198 community-dwelling older adults in rural areas (South Korea=100, & US = 98). Functional independence, cognitive function, obesity and general characteristics were measured. Results: From both countries, approximately fifteen percent of older adults living independently had cognitive problems without any treatments. Among Korean older adults functional independence was associated with a number of chronic diseases and aging while in the United States the participants had a negative correlation with obesity and aging. Conclusion: For Korean older adults in rural areas, nurses should focus on monitoring older adults' abilities to manage chronic illness and designing self-management programs while in the United States the focus should be on healthy lifestyle programs about exercise and diet to increase functional independence.

• Safety and Health at Work
• /
• v.2 no.4
• /
• pp.380-384
• /
• 2011

The chronic and acute effects of hyperglycemia affecting cognition and work are as important as those of hypoglycemia. Its impact, considering that majority of diabetic patients fail to reach therapeutic targets, would be potentially significant. Self monitoring of blood glucose, recognition of body cues and management interventions should be geared not only towards avoidance of disabling hypoglycemia, but also towards unwanted hyperglycemia. Over the long term, chronic hyperglycemia is a risk for cognitive decline. Acute episodes of hyperglycemia, above 15 mmol/L have also been shown to affect cognitive motor tasks. Maintaining blood sugar to avoid hyperglycemia in diabetic workers will help promote safety at work.

• Journal of Korean Neurosurgical Society
• /
• v.66 no.3
• /
• pp.289-297
• /
• 2023

Technological advances in neonatology led to the improvement of the survival rate in preterm babies with very low birth weights. However, intraventricular hemorrhage (IVH) has been one of the major complications of prematurity. IVH is relevant to neurodevelopmental disorders, such as cerebral palsy, language and cognitive impairments, and neurosensory and psychiatric problems, especially when combined with brain parenchymal injuries. Additionally, severe IVH requiring shunt insertion is associated with a higher risk of adverse neurodevelopmental outcomes. Multidisciplinary and longitudinal rehabilitation should be provided for these children based on the patients' life cycles. During the infantile period, it is essential to detect high-risk infants based on neuromotor examinations and provide early intervention as soon as possible. As babies grow up, close monitoring of language and cognitive development is needed. Moreover, providing continuous rehabilitation with task-specific and intensive repetitive training could improve functional outcomes in children with mild-to-moderate disabilities. After school age, maintaining the level of physical activity and managing complications are also needed.

• Korean Journal of Remote Sensing
• /
• v.39 no.5_4
• /
• pp.1075-1084
• /
• 2023

Satellite-derived data is collected by observing the Earth and is used in various fields such as national defense, natural disasters, location-based services, infrastructure, environment, energy, marine, and insurance. This study aims to present the virtuous cycle structure of the satellite information data industry and the business ecosystem model of the industry. As a research method, cases were collected and categorized from the following areas: literature, online, application, and content. The results show that the ecosystem model of the satellite information data industry provides an approach to content services in public and commercial areas, and develops various algorithmic technologies to facilitate content production and services at the level of complex general-purpose technologies. Second, in terms of content typology, satellite information data can be subdivided into monitoring content, urban space monitoring content, and satellite information content. Third, the consumption value of satellite content could be subdivided into informational value, environmental, social and governance (ESG) value, educational value, and content value. In order to expand the global content market, Korea will need to focus on creating an ecosystem for the satellite information industry and discovering differentiated content. It will also need to increase the popularization and accessibility of data to the general public and promote the Korean K-Satellite Information Data Industry ecosystem through government support, policy efforts, and policies such as establishing legal systems, increasing investment, and training human resources.

• Clinical and Experimental Pediatrics
• /
• v.52 no.9
• /
• pp.964-970
• /
• 2009

Neonatal seizures are generally not only brief and subtle but also not easily recognized and are usually untreated. In sick neonates, seizures are frequently not manifested clinically but are detected only by electroencephalography (subclinical EEG seizures). This phenomenon of electroclinical dissociation is fairly common in neonates. On the other hand, neonates frequently show clinical behaviors such as stiffening, apnea, or autonomic manifestations that mimic seizures, which is usually associated with underlying encephalopathy and non-epileptic seizures. Therefore, it might be difficult to confirm the diagnosis of neonatal seizures. Early recognition of neonatal seizures is important to minimize poor neurodevelopmental outcomes, including cognitive, behavioral, and learning disabilities, as well as the development of postnatal epilepsy. EEG is a reliable tool in the determination of neonatal seizures. Continuous EEG monitoring is essential for the identification of seizures, evaluation of treatment efficacy, and prediction of the neurodevelopmental outcome. However, there is not yet a wide consensus on the optimal "standard" lead montage for the continuous EEG monitoring.

• School Mathematics
• /
• v.13 no.3
• /
• pp.469-484
• /
• 2011

Students experience various affects in solving mathematical problem and learning mathematics. Focusing on meta-affect in affective domain, we explored the types of meta-affect. Our research provides illustrative examples and analysis of meta-affect during solving problem. As a result, meta-affect has four types i.e. monitoring of affect, evaluation of emotion, control of emotion, and utilization of affect. And meta-affect is a main key to decide how to handle affect and influence student's cognitive strategies and affect.

• Journal of Korean Society on Water Environment
• /
• v.35 no.6
• /
• pp.574-579
• /
• 2019

As interest in health issues increases, it is imperative to ensure good water quality from wastewater treatment plant effluent to preserve environmental health. In particular, currently there is a lack of water ecosystem risk assessment on pharmaceutical substances remaining in effluent. In this study, antidepressant escitalopram (ESC), antiepileptic carbamazepine (CBZ) and lead, which impact the behavior of aquatic organisms, were used to test their impact on the potential behavior of zebrafish. Zebrafish have been widely used in toxicological assessment studies due to the ease of handlinggenerically and genetically. It was possible to observe changes in the growth of organisms through monitoring the embryos' cognitive and behavior assessment. In this study, the embryo lethal dose test showed that the lethal concentration of ESC and CBZ was at 10 ppb, which is below the water quality criterion (100 ppb), increased by 32.5 % and 40 %, respectively. In the cognitive test, it was found that the cognitive ability function decreased by 22 % and 17% for ESC(500 ppb) and CBZ(1,000 ppb) respectively relative to control. Based on these results, it is necessary to initiate efforts to remove these trace pollutants from sewage treatment facilities to protect the health of aquatic organisms.

• Journal of the Korean Chemical Society
• /
• v.46 no.1
• /
• pp.83-89
• /
• 2002

In this study, students' responses to anomalous data in studying ‘density' were analyzed, and the relationships among trait/state self-regulation strategies, the degree of cognitive conflict, and conceptual change were examined. A trait self-regulation strategy test, a preconception test, and a test of response to anomalous data were administered to 352 eighth graders. Among them, 146 students whose preconceptions were consistent with the presented initial theory were selected. After they had read a scientific explanation, a state self-regulation test and a researcher-made conception test were administerd. There were no significant correlations among the subcategory scores of trait/state self-regulation strategies and the degree of cognitive conflict. The scores of the conception test were significantly correlated with those of trait planning, trait effort, state planning, state self-monitoring, and state effort. State effort was only a significant predictor on students' conceptual change.

• The Mathematical Education
• /
• v.58 no.4
• /
• pp.519-530
• /
• 2019

According to previous studies, meta-affect based on the interaction between cognitive and affective elements in mathematics learning activities maintains a close mechanical relationship with the learner's mathematical ability in a similar way to meta-cognition. In this study, in order to grasp these characteristics phenomenologically, small group problem-solving cases of 5th grade elementary mathematically gifted children were analyzed from a meta-affective perspective. As a result, the two types of problem-solving cases of mathematically gifted children were relatively frequent in the types of meta-affect in which cognitive element related to the cognitive characteristics of mathematically gifted children appeared first. Meta-affects were actively acted as the meta-function of evaluation and attitude types. In the case of successful problem-solving, it was largely biased by the meta-function of evaluation type. In the case of unsuccessful problem-solving, it was largely biased by the meta-function of the monitoring type. It could be seen that the cognitive and affective characteristics of mathematically gifted children appear in problem solving activities through meta-affective activities. In particular, it was found that the affective competence of the problem solver acted on problem-solving activities by meta-affect in the form of emotion or attitude. The meta-affecive characteristics of mathematically gifted children and their working principles will provide implications in terms of emotions and attitudes related to mathematics learning.

• Annual Conference of KIPS
• /
• 2018.05a
• /
• pp.604-607
• /
• 2018

From the last past decade, the Internet of Thing (IoT) area has attracted a lot of attention from researchers. It is said to be a promising technology with great impact in people life, since it redefines the relationship objects have with Human and between themselves. It allows objects to gather data from the real world and communicate with others through the internet. This enabled many opportunities for service providers, companies, factories, environmental monitoring, healthcare, smart cities, and soon. Therefore, today, IoT is densely used in various domains of life, and knows an exponential growth. However, although many advancements have been achieved, several challenges keep causing issues and still need to be overcome. This paper gives an overview on the current trend issues in IoT on which researchers are focusing. It's also explores different proposed frameworks to allow the application of cognitive computing as an integrated process of an Internet of things (IoT) systems, to bring a great advanced in the way machine may communicate with human and their surroundings. This is known as cognitive IoT (CIoT), which allows machines to produce a human-like behavior, then providing enhanced level of capabilities to IoT.