• Title/Summary/Keyword: Cognitive-vulnerability model

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The relationship between self-esteem and depression among Korean adults: Examining cognitive vulnerability model and the scar model (한국 성인의 우울과 자아존중감의 종단적 상호관계에 관한 연구: 인지취약모델과 상처모델 검증을 중심으로)

  • Kim, Hyemee
    • Korean Journal of Social Welfare Studies
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    • v.45 no.2
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    • pp.233-261
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    • 2014
  • There are two competing models explaining the causal relationship of depression and self-esteem, and they are cognitive vulnerability model and the scar model. Cognitive vulnerability model explains that low self-esteem poses as a risk factor for development of depressive symptoms/depression while the scar model asserts that the experiences of depression scars the cognitive function of individuals, resulting in negative self-perception. This study was set out to test two models on Korean adults, and to identify factors that are associated with depression and self-esteem relationship. The first four waves (wave 1~4) of the Korea Welfare Panel Study (KOWEPS) were used for analyses, and latent growth curve modeling was employed to examine the relationship. The findings show that the relationship was reciprocal, one affecting the growth trajectory of another over a four year period. Furthermore, education, poverty status, health status, and satisfaction with social relationships were found to be significantly associated with both depression and self-esteem trajectories. Implications for practice and theory are provided.

A Structural Model for Chemotherapy Related Cognitive Impairment and Quality of Life in Breast Cancer Patients (유방암 환자의 항암화학요법 관련 인지기능 변화와 삶의 질의 구조모형)

  • Lee, Jung Ran;Oh, Pok Ja
    • Journal of Korean Academy of Nursing
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    • v.49 no.4
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    • pp.375-385
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    • 2019
  • Purpose: This study aimed to develop and test a structural model for chemotherapy-related cognitive impairment of breast cancer patients based on a literature review and Hess and Insel's chemotherapy-related cognitive change model. Methods: The Participants consisted of 250 patients who were ${\geq}19$ years of age. The assessment tools included the Menopause Rating Scale, Symptom Experience Scale, Hospital Anxiety and Depression Scale, Everyday Cognition, and Functional Assessment of Cancer Therapy-Breast Cancer. Data were analyzed using the SPSS 21.0 and AMOS 21.0 programs. Results: The modified model was a good fit for the data. The model fit indices were ${\chi}^2=423.18$ (p<.001), ${\chi}^2/df=3.38$, CFI=.91, NFI=.91, TLI=.89, SRMR=.05, RMSEA=.09, and AIC=515.18. Chemotherapy-related cognitive impairment was directly influenced by menopausal symptoms (${\beta}=.38$, p=.002), depression and anxiety (${\beta}=.25$, p=.002), and symptom experiences (${\beta}=.19$, p=.012). These predictors explained 47.7% of the variance in chemotherapy-related cognitive impairment. Depression and anxiety mediated the relations among menopausal symptoms, symptom experiences, and with chemotherapy related cognitive impairment. Depression and anxiety (${\beta}=-.51$, p=.001), symptom experiences (${\beta}=-.27$, p=.001), menopausal symptoms (${\beta}=-.22$, p=.008), and chemotherapy-related cognitive impairment (${\beta}=-.15$, p=.024) had direct effects on the quality of life and these variables explained 91.3%. Conclusion: These results suggest that chemotherapy-related toxicity is highly associated with cognitive decline and quality of life in women with breast cancer. Depression and anxiety increased vulnerability to cognitive impairment after chemotherapy. Nursing intervention is needed to relieve chemotherapy-related toxicity and psychological factor as well as cognitive decline for quality of life in patients undergoing chemotherapy.

Emotion Recognition and Regulation Mechanism in Panic Disorder (공황장애의 감정 인식 및 조절 메커니즘)

  • Kim, Yoo-Ra;Lee, Kyoung-Uk
    • Anxiety and mood
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    • v.7 no.1
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    • pp.3-8
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    • 2011
  • Cognitive models of panic disorder have emphasized cognitive distortions' roles in the maintenance and treatment of panic disorder (PD). However, the patient's difficulty with identifying and managing emotional experiences might contribute to an enduring vulnerability to panic attacks. Numerous researchers, employing emotion processing paradigms and neuroimaging techniques, have investigated the empirical evidence for poor emotion processing in PD. For years, researchers considered that abnormal emotion processing in PD might reflect a dysfunction of the frontal-temporal-limbic circuits. Although neuropsychological studies have not provided consistent results regarding this model, a few studies have tried to find the biological basis of dysfunctional emotion processing in PD. In this article, we examine the possibility of dysregulation of emotion processing in PD. Specifically we discuss the neural basis of emotion processing and the manner in which such neurocognitive impairments may help clarify PD's core symptoms.

Embarrassment; a concept analysis (당혹감(embarrassment); 개념분석)

  • Cho, Eun-Jung;Chung, Bok-Yae
    • Korean Journal of Adult Nursing
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    • v.14 no.2
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    • pp.276-286
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    • 2002
  • Purpose: The concept of embarrassment as an unpleasant emotion is important in caring for those who are in the continuum of illness and health requiring body care and facing sexual problems. In spite of its nursing implication, embarrassment has not been focused in nursing research. Therefore, the purpose of this paper is to develope a conceptual analysis of embarrassment. This analysis would help to understand comprehensively an embarrassing situation in which an intimate relationship between nurse and patient regarding body care of the patient could develope. Futhermore, it would be a basis for developing strategies for prevention of embarrassment which could lead for both patient and nurse to emotionally vulnerable situation because of their failure of self-presentation (impression management). Method: The concept analysis model suggested by Walker and Avant (1988) is used to clarify what is meant by the term 'embarrassment'. Result: This analysis defines the attributes of embarrassment such as follows. First, embarrassment is often attributed to situational factors interrupting a smooth interaction such as intimacy, confusion, vulnerability, exposure of interaction and characteristics of audience. Second, embarrassment is closely related with cognitive factor such as fear of losing face resulted from a behaviour being out of line. Third, embarrassment is closely associated with dispositional factor such as embarrassability. Fourth, embarrassment is an unpleasant and unwanted emotion arising reactively after an interaction had occurred. Fifth, embarrassment encloses physical, physiological and behavioral aspects such as a variety of unique and easily noticeable reactions and a pattern of verbal and non-verbal behaviour for coping in an embarrassing situation. The antecedents were normally socialized adolescents with normal cognitive ability, concern of losing face, embarrassability, embarrassing events related with situational intimacy, confusion, vulnerability, exposure of interaction and characteristics of audience, physical, behavioral blunders resulting in a failure of impression management. The consequences were an emotional coping behaviour, audience's embarrassment responses, and verbal and non-verbal coping strategies of interactional participants. Conclusion: It is hoped that this analysis will stimulate further exploration of this concept and study for developing systematic assessment and nursing practice that diminishes embarrassment of interactional participants.

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Abrogation of the Circadian Nuclear Receptor REV-ERBα Exacerbates 6-Hydroxydopamine-Induced Dopaminergic Neurodegeneration

  • Kim, Jeongah;Jang, Sangwon;Choi, Mijung;Chung, Sooyoung;Choe, Youngshik;Choe, Han Kyoung;Son, Gi Hoon;Rhee, Kunsoo;Kim, Kyungjin
    • Molecules and Cells
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    • v.41 no.8
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    • pp.742-752
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    • 2018
  • Parkinson's disease (PD) is a neurodegenerative disease characterized by progressive degeneration of dopaminergic (DAergic) neurons, particularly in the substantia nigra (SN). Although circadian dysfunction has been suggested as one of the pathophysiological risk factors for PD, the exact molecular link between the circadian clock and PD remains largely unclear. We have recently demonstrated that $REV-ERB{\alpha}$, a circadian nuclear receptor, serves as a key molecular link between the circadian and DAergic systems. It competitively cooperates with NURR1, another nuclear receptor required for the optimal development and function of DA neurons, to control DAergic gene transcription. Considering our previous findings, we hypothesize that $REV-ERB{\alpha}$ may have a role in the onset and/or progression of PD. In the present study, we therefore aimed to elucidate whether genetic abrogation of $REV-ERB{\alpha}$ affects PD-related phenotypes in a mouse model of PD produced by a unilateral injection of 6-hydroxydopamine (6-OHDA) into the dorsal striatum. $REV-ERB{\alpha}$ deficiency significantly exacerbated 6-OHDA-induced motor deficits as well as DAergic neuronal loss in the vertebral midbrain including the SN and the ventral tegmental area. The exacerbated DAergic degeneration likely involves neuroinflammation-mediated neurotoxicity. The $REV-erb{\alpha}$ knockout mice showed prolonged microglial activation in the SN along with the over-production of interleukin $1{\beta}$, a pro-inflammatory cytokine, in response to 6-OHDA. In conclusion, the present study demonstrates for the first time that genetic abrogation of $REV-ERB{\alpha}$ can increase vulnerability of DAergic neurons to neurotoxic insults, such as 6-OHDA, thereby implying that its normal function may be beneficial for maintaining DAergic neuron populations during PD progression.

A Study on the Factors Affecting the Information Systems Security Effectiveness of Password (패스워드의 정보시스템 보안효과에 영향을 미치는 요인에 관한 연구)

  • Kim, Jong-Ki;Kang, Da-Yeon
    • Asia pacific journal of information systems
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    • v.18 no.4
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    • pp.1-26
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    • 2008
  • Rapid progress of information technology and widespread use of the personal computers have brought various conveniences in our life. But this also provoked a series of problems such as hacking, malicious programs, illegal exposure of personal information etc. Information security threats are becoming more and more serious due to enhanced connectivity of information systems. Nevertheless, users are not much aware of the severity of the problems. Using appropriate password is supposed to bring out security effects such as preventing misuses and banning illegal users. The purpose of this research is to empirically analyze a research model which includes a series of factors influencing the effectiveness of passwords. The research model incorporates the concept of risk based on information systems risk analysis framework as the core element affecting the selection of passwords by users. The perceived risk is a main factor that influences user's attitude on password security, security awareness, and intention of security behavior. To validate the research model this study relied on questionnaire survey targeted on evening class MBA students. The data was analyzed by AMOS 7.0 which is one of popular tools based on covariance-based structural equation modeling. According to the results of this study, while threat is not related to the risk, information assets and vulnerability are related to the user's awareness of risk. The relationships between the risk, users security awareness, password selection and security effectiveness are all significant. Password exposure may lead to intrusion by hackers, data exposure and destruction. The insignificant relationship between security threat and perceived risk can be explained by user's indetermination of risk exposed due to weak passwords. In other words, information systems users do not consider password exposure as a severe security threat as well as indirect loss caused by inappropriate password. Another plausible explanation is that severity of threat perceived by users may be influenced by individual difference of risk propensity. This study confirms that security vulnerability is positively related to security risk which in turn increases risk of information loss. As the security risk increases so does user's security awareness. Security policies also have positive impact on security awareness. Higher security awareness leads to selection of safer passwords. If users are aware of responsibility of security problems and how to respond to password exposure and to solve security problems of computers, users choose better passwords. All these antecedents influence the effectiveness of passwords. Several implications can be derived from this study. First, this study empirically investigated the effect of user's security awareness on security effectiveness from a point of view based on good password selection practice. Second, information security risk analysis framework is used as a core element of the research model in this study. Risk analysis framework has been used very widely in practice, but very few studies incorporated the framework in the research model and empirically investigated. Third, the research model proposed in this study also focuses on impact of security awareness of information systems users on effectiveness of password from cognitive aspect of information systems users.

Analysis of Security Problems of Deep Learning Technology (딥러닝 기술이 가지는 보안 문제점에 대한 분석)

  • Choi, Hee-Sik;Cho, Yang-Hyun
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.9-16
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    • 2019
  • In this paper, it will analyze security problems, so technology's potential can apply to business security area. First, in order to deep learning do security tasks sufficiently in the business area, deep learning requires repetitive learning with large amounts of data. In this paper, to acquire learning ability to do stable business tasks, it must detect abnormal IP packets and attack such as normal software with malicious code. Therefore, this paper will analyze whether deep learning has the cognitive ability to detect various attack. In this paper, to deep learning to reach the system and reliably execute the business model which has problem, this paper will develop deep learning technology which is equipped with security engine to analyze new IP about Session and do log analysis and solve the problem of mathematical role which can extract abnormal data and distinguish infringement of system data. Then it will apply to business model to drop the vulnerability and improve the business performance.

A Study on Estimating the Crossing Speed of Mobility Handicapped for the Activation of the Smart Crossing System (스마트횡단시스템 활성화를 위한 교통약자의 횡단속도 추정)

  • Hyung Kyu Kim;Sang Cheal Byun;Yeo Hwan Yoon;Jae Seok Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.6
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    • pp.87-96
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    • 2022
  • The traffic vulnerable, including elderly pedestrians, have a relatively low walking speed and slow cognitive response time due to reduced physical ability. Although a smart crossing system has been developed and operated to improve problem, it is difficult to operate a signal that reflects the appropriate walking speed for each pedestrian. In this study, a neural network model and a multiple regression model-based traversing speed estimation model were developed using image information collected in an area with a high percentage of traffic vulnerability. to support the provision of optimal walking signals according to real-time traffic weakness. actual traffic data collected from the urban traffic network of Paju-si, Gyeonggi-do were used. The performance of the model was evaluated through seven selected indicators, including correlation coefficient and mean absolute error. The multiple linear regression model had a correlation coefficient of 0.652 and 0.182; the neural network model had a correlation coefficient of 0.823 and 0.105. The neural network model showed higher predictive power.

Dimensionality of emotion suppression and psychosocial adaptation: Based on the cognitive process model of emotion processing (정서 처리의 인지 평가모델을 기반으로 한 정서 억제의 차원성과 심리 사회적 적응)

  • Woo, Sungbum
    • Korean Journal of Culture and Social Issue
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    • v.27 no.4
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    • pp.475-503
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    • 2021
  • The purpose of this study is to clarify the constructs of emotion suppression and help understanding on the multidimensional nature of emotion suppression by classifying constructs for suppression according to the KMW model. Also, this study examined the gender differences of emotion suppression. For this purpose, 657 adult male and female subjects were evaluated for attitude toward emotions, and difficulty in emotional regulation, as well as depression, state anger and daily stress scale. As a result of the exploratory factor analysis on the scales related to the emotion suppression factors, the emotion suppression factors corresponding to each stage of the KMW model were found to be 'distraction against emotional information, 'difficulty in understanding and interpretation of emotions', 'emotion control beliefs', 'vulnerability on emotional expression beliefs'. Next, the study participants were classified by performing a cluster analysis based on each emotion suppression factor. As a result, four clusters were extracted and named 'emotional control belief cluster', 'emotional expression cluster', 'emotional attention failure cluster', and 'general emotional suppression cluster'. As a result of examining the average difference of male depression, depression, state anger, and daily stress for each group, significant differences were found in all dependent variables. As a result of examining whether there is a difference in the frequency of emotional suppression clusters according to gender, the frequency of emotional suppression clusters was high in men, and the ratio of emotional expression clusters was high in women. Finally, it was analyzed whether there was a gender difference in the effect of the emotional suppression cluster on psychosocial adaptation, and the implications were discussed based on the results of this study.