• Korean Journal of Cognitive Science
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• v.31 no.4
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• pp.155-178
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• 2020

People read in different settings, including when music is playing in the background. Whether the presence of music facilitates, hinders, or does not affect language processing is an on-going debate in the current literature. The present study used ERPs to examine the influence of music on orthographic, semantic, and syntactic processing by inspecting P2, N400, and P600 responses, respectively. A total of 60 participants judged the correctness of visually presented sentences while listening to music with lyrics, music without lyrics, or in silence. The results showed that the P2 and P600 effects were larger in the silent condition than in the music-with-lyrics condition, while there were no N400 differences among the conditions. This indicates that only lyrical music interferes with orthographic and syntactic language processing, while it has no, or minimal, effect on semantic processing. The results are discussed in relation to the background music interference effect.

• Journal of Industrial Convergence
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• v.21 no.12
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• pp.55-62
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• 2023

Recent ransomware attacks employ various techniques and pathways, posing significant challenges in early detection and defense. Consequently, the scale of damage is continually growing. This paper introduces a machine learning-based approach for effective ransomware detection by focusing on file encryption and encryption patterns, which are pivotal functionalities utilized by ransomware. Ransomware is identified by analyzing password behavior and encryption patterns, making it possible to detect specific ransomware variants and new types of ransomware, thereby mitigating ransomware attacks effectively. The proposed machine learning-based encryption behavior detection technique extracts encryption and encryption pattern characteristics and trains them using a machine learning classifier. The final outcome is an ensemble of results from two classifiers. The classifier plays a key role in determining the presence or absence of ransomware, leading to enhanced accuracy. The proposed technique is implemented using the numpy, pandas, and Python's Scikit-Learn library. Evaluation indicators reveal an average accuracy of 94%, precision of 95%, recall rate of 93%, and an F1 score of 95%. These performance results validate the feasibility of ransomware detection through encryption behavior analysis, and further research is encouraged to enhance the technique for proactive ransomware detection.

• Korean Journal of Cognitive Science
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• v.34 no.4
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• pp.277-297
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• 2023

This study attempted to find out how lexical decision of two-syllable words or pseudo-words is affected by syllabic information, such as syllable frequency, syllable (i.e. vowel) type, and presence of final consonant (i.e. batchim), through the analysis of the Korean Lexicon Project Database (KLP-DB). Hierarchical regression of RT data showed that lexical decision of words was influenced by the frequency of the first syllable, the syllable type of the first and second syllables, batchim for the first and second syllables, and also by the interaction of the two syllable types and the interaction of syllable frequency and batchim of the second syllable. For pseudo-words lexical decision was influenced by the frequency of the first and second syllables, syllable type of the first syllable, and batchim for the first and second syllables, and also by the interaction of the two syllable frequencies, the interaction of the two syllable types, and the interaction of syllable frequency and batchim of the first syllable. Word frequency had a strong effect on lexical decision of words, while syllabic information had a stable effect on the lexical decision of pseudo-words. These results indicate that syllabic information should be seriously considered in constructing word and pseudo-word lists and interpreting lexical decision time. Understanding the effect of syllabic information will also contribute to the understanding of word recognition process.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.18 no.1
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• pp.10-15
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• 2007

Probably the three most important components to a comprehensive evaluation of patients with attention-deficit hyperactivity disorder (ADHD) are the clinical interview, the medical examination, and the completion and scoring or behavior rating scales. Teachers and other school personnel are often the first to recognize that a child or adolescent might have ADHD, and often play an important role in the help-seeking/referral process. A diagnostic evaluation for ADHD should include questions about ADHD symptoms, other problems including alcohol and drug use, family history of ADHD, prior evaluation and treatment for ADHD. Screening interview or rating scales as well as interviews should be used. When it is feasible, clinicians may wish to supplement these components of the evaluation with objective assessments of the ADHD symptoms, such as psychological tests. These tests are not essential to reaching a diagnosis, however, or to treatment planning, but they may yield further information about the presence and severity of cognitive impairments that could be associated with some cases of ADHD. Screening for intellectual ability and academic achievement skills is also important in determining the presence of comorbid developmental delay or loaming disabilities. The number and type of symptoms required for a diagnosis of ADHD vary depending on the specific subtype. To receive a diagnosis of ADHD, the person must be experiencing significant distress or impairment in daily functioning, and must not meet criteria for other mental disorders which might better account for the observed symptoms such as mental retardation, autism or other pervasive developmental disorders, mood disorders, anxiety disorders. This report aims to suggest a practice guideline of assessment and diagnosis for children and adolescents with ADHD in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.294-300
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• 2011

This study was performed to examine the presence of dysphagia and analyze characteristics of the symptoms in cerebrovascular accident(CVA) patients without awareness of dysphagia. A questionnaire for this study was given to CVA patients who had visited P rehabilitation medical center in Busan. Eleven patients (4 males and 7 females) who answered no awareness of dysphasia were given to VFSS, functional dysphasia scale, and NCSE. Descriptive statistics and Pearson correlation analysis were performed by SPSS 12.0. All of subjects without awareness of dysphasia showed characteristics of dysphasia symptoms. Prominent dysfunctions were problems in oral phase and delay of swallowing reflex in pharyngeal phase. For the aspect of cognition, they showed lower score in construction, memory, and similarity than other NCSE items. There was highly significant correlation between orientation, judgment and delay of swallowing reflex. Verbal comprehension and residual materials in oral cavity showed closed correlation. CVA patients without awareness had dysphagia with high probability. The early evaluation of dysphagia should be performed in CVA patients in order to prevent complications due to CVA, so it is necessary to increase the effectiveness of rehabilitation therapy.

• Food Science and Biotechnology
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• v.17 no.3
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• pp.594-597
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• 2008

Natural products have been used to treat many neurological illnesses such as Alzheimer's disease. In the present study, the effects of the water extract of smoke-dried skipjack tuna (WSST), which is used as a traditional seasoning in Japan, as well as its fractions on acetylcholinesterase (AChE) inhibition in vitro and on memory in scopolamine-induced amnesia mice in vivo were evaluated. Bio-Rad P-2 gel permeation chromatography revealed the presence of 7 peaks and AChE significantly inhibited peak 3 and 5. When in vivo behavioral studies were conducted, a passive avoidance test revealed that treatment with 50 and 100 mg/kg WSST as well as with fraction 3 and 5 improved the loss in memory retention induced by scopolamine. These results suggest that skipjack tuna extract and its fractions improve memory deficits and that these substances are suitable for use in healthy foods designed to improve memory deficits induced by aging and Alzheimer's disease.

• Journal of the Korean Academy of Child and Adolescent Psychiatry
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• v.22 no.3
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• pp.192-197
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• 2011

Objectives: This study was conducted to examine the prevalence and characteristics of savant skills and the relationship between the savant skills and autistic symptoms in Korean ASD children. Methods: 141 ASD subjects participated in this study and they were divided in to two groups based on the presence or lack of savant skills. The domain scores and total scores of the K-ADI-R, K-ASDS and SRS were used for evaluating the ASD symptoms between the groups. Results: Memory (N=47) was the most prevalent savant skill in the savant ASD group (N=60). The savant ASD group had a statistically higher mean age and IQ score than did the nonsavant ASD group. Despite their high IQ profile, the savant ASD group showed a higher restricted, repetitive and stereotype behavior score on the K-ADI-R and higher language and cognitive scores on the K-ASDS than did the nonsavant ASD group. Conclusions: These results suggest savant syndrome in ASD might be related to the severity of some subdomain of autistic symptoms even though their IQ scores were higher than nonsavant ASD patients.

• The Korean Journal of Rehabilitation Nursing
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• v.5 no.1
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• pp.27-37
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• 2002

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.

• The Journal of Internal Korean Medicine
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• v.32 no.3
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• pp.435-443
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• 2011

Fahr disease (FD) is a rare neurological disorder characterized by presence of abnormal and associated cell loss in certain areas of the brain, mostly in basal ganglia, thalamus, cerebellum and subcortical areas. Approximately two-thirds of the patients are symptomatic. The most common neurological manifestations include movement disorders, cognitive impairment, cerebellar signs and speech disorders. We report one case of estimated FD through brain computed tomography (bilateral calcifications of basal ganglia, thalamus, centrum semiovale, subcortical white matter of occipital lobes, cerebellum). At the first time of treatment, he complained of tremors in his upper limbs. We diagnosed the patient as deficiency of qi (氣) and movement of phlegm-heat-wind (痰熱風動) type according to symptoms and treated by herbs and acupuncture of oriental medicine. During treatments, we evaluated how well the oriental medical treatments were working using visual analogue scale (VAS) and amplitude of hands. After the oriental medical treatments about tremor, VAS dropped from 10 to 2 and amplitude of hands from 20 mm to 2 mm, but the ratio of brain calcifications was not changed. This study suggests that oriental medical treatments can be applicable to improve FD.

• The Journal of the Korea Contents Association
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• v.18 no.8
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• pp.92-101
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• 2018

As the interactive AI speaker becomes popular, voice recognition is regarded as an important vehicle-driver interaction method in case of autonomous driving situation. The purpose of this study is to confirm whether multimodal interaction in which feedback is transmitted by auditory and visual mode of AI characters on screen is more effective in user experience optimization than auditory mode only. We performed the interaction tasks for the music selection and adjustment through the AI speaker while driving to the experiment participant and measured the information and system quality, presence, the perceived usefulness and ease of use, and the continuance intention. As a result of analysis, the multimodal effect of visual characters was not shown in most user experience factors, and the effect was not shown in the intention of continuous use. Rather, it was found that auditory single mode was more effective than multimodal in information quality factor. In the semi-autonomous driving stage, which requires driver 's cognitive effort, multimodal interaction is not effective in optimizing user experience as compared to single mode interaction.