Earticle

The spontaneous mutant circling mouse (cir/cir) shows a circling behavior and hearing loss. We produced transgenic mice overexpressing transmembrane inner ear (tmie) gene, the causative gene, for the phenotypic rescue of the circling mouse. Through the continuous breeding with circling mice, the cir/cir homozygous mice carrying the transgene (cir/cir‐gtg) were produced. The rescued cir/cir‐gtg mice were able to swim in the water with proper orientation and did not show any circling behavior like wild type mice. Western blot and immunohistochemical analysis exhibited that the transgenic tmie was expressed in the inner ear. Inner and outer hair cells were recovered in the cochlea and spiral ganglion neurons were also recovered in the rescued mice. Auditory brainstem response (ABR) test demonstrated that the cir/cir‐gtg mice are able to respond to sound. This study demonstrates that tmie transgene can recover the hearing impairment and abnormal behavior in the circling mouse.

Purpose: This study aimed to develop a web-based video program related to abnormal mental disorder behaviors in standardized patients and verify its effectiveness for nursing students. Methods: This study consisted of pre-test and post-test for a non-equivalent control group design. The participants were 46 nursing students(experimental group: 23, control group: 23). The experimental group was trained in a video program that applied standardized patients, while the control group received traditional training. Data collected from March to June, 2020, were analyzed using IBM SPSS Statistics for Windows, version 25.0, chi-square test, Fisher's exact test, Mann-Whitney U test, and independent t-test. Results: The difference between the experimental and control groups was statistically significant in terms of learning satisfaction (Z=2.08, p=.038), learning self-efficacy(t=2.80, p=.009), motivation for transfer(t=3.45, p=.001), and clinical reasoning competence(t=2.28, p=.028). Conclusion: This study showed that a video program on abnormal mental disorder behaviors in standardized patients is an effective tool for mental health nursing education.

본 연구에서는 여자대학(원)생을 대상으로 자아분화와 이상섭식행동 간의 관계에서 정서표현양가성이 매개역할을 하는지 살펴보고, 심리적 수용이 이러한 매개효과를 조절하는지 조절된 매개모형을 분석하였다. 이를 위해 서울과 경기도에 소재한 3곳의 4년제 대학에 재학 중인 208명의 여자대학(원)생을 대상으로 자아분화, 정서표현양가성, 심리적 수용, 이상섭식행동을 측정하였고, SPSS Macro를 사용하여 자료를 분석하였다. 그 결과, 우선, 자아분화가 직접적으로 그리고 정서표현양가성을 매개로 간접적으로도 이상섭식행동에 영향을 미치는 것으로 나타났다. 이는 정서표현양가성이 자아분화와 이상섭식행동 간의 관계를 부분 매개함을 시사하는 결과이다. 둘째, 심리적 수용은 정서표현양가성이 이상섭식행동에 미치는 영향을 조절하는 것으로 나타났는데, 즉, 심리적 수용이 높을수록 정서표현양가성이 이상섭식행동에 미치는 영향이 감소됨이 확인되었다. 셋째, 조절된 매개효과가 나타났는데, 자아분화와 이상섭식행동 간의 관계에서 정서표현양가성의 매개효과는 심리적 수용이 높아질수록 줄어드는 것으로 나타났다. 이러한 결과를 바탕으로 후속연구를 위한 제언과 상담적 함의를 논의하였다.

The purpose of the current study was to investigate whether ambivalence over emotional expressiveness would mediate the relationship between differentiation of self and abnormal eating behaviors, and if such mediating effect would differ depending on the level of psychological acceptance among female (under) graduate students. The main results are as follows. First, differentiation of self had a direct effect on abnormal eating behaviors, and indirectly influenced abnormal eating behaviors through ambivalence over emotional expressiveness. Such finding indicates that ambivalence over emotional expressiveness partially mediated the relationship between differentiation of self and abnormal eating behaviors. Second, psychological acceptance moderated the effect of ambivalence over emotional expressiveness on abnormal eating behaviors. That is, as psychological acceptance increased, the negative effect of ambivalence over emotional expressiveness on abnormal eating behaviors decreased. Third, the moderated mediating model was supported in that the mediating effect of ambivalence over emotional expressiveness on the relationship between differentiation of self and abnormal eating behaviors, increased as the level of psychological acceptance decreased.

사회불안과 섭식문제는 공병률이 높은 병리인데, 본 연구는 전자가 후자로 옮아가는 과정을 인지적 변인인 이분법 사고와 반추가 순차적으로 매개하는지를 알아보고자 했다. 이를 위해 성인 여성 187명에게 한국판 식사태도 검사(KEAT-26), 사회공포증 척도(SPS), 이분법적 사고 지표 확장판(DTI-35), 반추적 사고 스타일 질문지(RTSQ)를 온라인 설문으로 실시했다. SPSS 24.0과 Process Macro 2.16을 사용해서 이분법 사고와 반추 각각을 매개 변인으로 하는 두 개의 단순 매개 분석을 했고, 이어서 두 변인이 한 모형 안에서 차례대로 작용하여 사회불안과 섭식문제의 관계를 직렬 매개하는지를 분석했다. 먼저, 단순매개분석에서 이분법 사고는 사회불안과 이상섭식행동의 관계를 부분 매개하여서, 사회불안이 높으면 사소한 실수도 파국화하는 이분법적 사고로 인해 이상섭식행동이 야기될 수 있음이 시사되었다. 이어서, 반추적 사고도 이들의 관계를 부분 매개하여서 사회불안이 높은 사람들이 사후처리로 반추적 사고를 한 결과로 이상섭식행동이 증가될 수 있음이 시사되었다. 최종적인 직렬매개분석에서는 두 매개 변인의 순차적 매개 효과가 유의하여서, 사회불안이 높은 경우 이상에 비춰 현실을 이분법적으로 판단하면 그 괴리로 반추적 사고가 촉발되어 이상섭식행동으로 이어질 수 있음이 시사되었다. 끝으로 연구의 한계점과 향후 연구를 위한 제언을 제시하였다.

Social anxiety and abnormal eating behavior are highly comorbid. Previous studies indicate a strong link between them, but the underlying mechanism behind the link remains unclear. The present study examined the relationship between social anxiety (SA) and abnormal eating behavior (AEB) with focus on the possible mediating role of dichotomous thinking (DT) and ruminative thought (RT). The participants were 187 female students at Cyber University who had completed online self-report questionnaires for the Korean version of Eating Attitude Test-26, Social Phobia Scale, Dichotomous Thinking Index-35, and Ruminative Thought Style Questionnaire. Our results indicate that DT and RT mediated the relationship between SA and AEB both, respectively and sequentially. The findings demonstrate that DT and RT are the cognitive mechanisms through which SA goes over to AEB. It is suggested that SA heightens the tendency to decide situations in either black or white way, which supplies the rich materials for ruminative thought that culminates in a worsening of AEB. In the present study, the limitations and implications for future work are also discussed.

본 연구의 목적은 여고생의 다이어트 행동을 살펴보고 이들이 경험하는 사회문화적 압력이 신체 불만족과 이상 섭식행동에 미치는 영향을 알아보는 것이다. 연구에 참여한 학생들은 경기지역 320명의 여고생으로 설문지를 통해 다이어트, 사회문화적 압력, 신체적 불만족, 이상 섭식행동을 알아보았다. 연구 결과 정상체중군에 속하는 사람의 62.84%가 다이어트를 하고 있는 것으로 나타났는데, 이는 다이어트가 일상화되고 있다는 것을 보여주는 결과라고 할 수 있다. 한편 부모와 또래, 그리고 대중매체의 사회문화적 압력 총점은 절식행동, 폭식행동모두와 유의한 상관이 있었고 절식행동과의 상관이 조금 더 높은 것으로 나타났다. 한편 사회문화적 압력 중 대중매체와 부모가 폭식을 예언하는 유의한 변인으로 나타났다. 절식의 경우 부모, 또래, 대중매체 모두가 절식행동을 유의하게 설명하는 것으로 나타났으며 두 가지 이상섭식행동 모두 대중매체의 영향을 가장 많이 받는 것으로 나타났다. 신체 불만족은 절식과 사회적 압력사이에서 조절 변인으로 작용하는 것으로 나타났으나 폭식의 경우에는 신체 불만족이 사회적 압력과의 관계에서 조절 변인으로 작용하지 않는 것으로 나타났다 이러한 연구 결과는 앞으로 청소년 개인에 대한 건강한 식습관과 체형 인식에 대한 교육 뿐 아니라 체중이나 외모에 대한 사회적 인식의 개선을 위한 노력이 절실히 요구된다는 것을 보여준다. 마지막으로 이후 연구에 시사하는 바와 임상실제에 시사하는 바를 논의하였다.

The primary purpose of this study is to identify female high school students' diet behavior and the correlation between psychosocial pressure and abnormal eating behavior. Participants were 320 female high school students of Kyeonggi Province. A total of 55.3% of participants answered that they were on a diet. Even among those who have an average weight, 62.84% of participants were on a diet. Correlation analyses showed statistically significant relationship between the psychosocial pressure and abnormal eating behavior. Among the sub-types of psychosocial pressure, media was highly correlated to spare eating and bulimia. A multiful regression analysis showed that psychosocial pressure could explain just 22% of spare eating. However, in case of bulimia, stress experiences explain 36% of bulimia. In considering so many variables related to abnormal eating behavior, psychosocial pressure affect significantly to abnormal eating behavior. The findings by this study demonstrate psychosocial pressure closely related to abnormal eating behavior. In the future, we should articulate psychosocial pressure on female high school students' eating behavior. Moreover, future research should include behavioral index as a dependent?variable. The discussion addressed implications of the findings for future research and for clinical practice.

인공지능을 활용한 사업이 활발히 진행되면서 범죄 예방 및 안전분야와 관련하여 이상행동 및 행동 인식에 대한 연구와 관심이 높아지고 있다. 하지만 딥러닝 등 인공지능 모델을 생성하는 것은 전문 지식이 없는 경우 많은 어려움이 따른다. 본 논문에서는 사용자가 편리하게 딥러닝 모델을 생성할 수 있도록 데이터셋을 제공하고 이상행동 및 행동 인식 기술을 API화하여 인터페이스에서 호출하는 방식을 사용하는 사용자 친화적인 모델 학습 및 테스트를 위한 시스템 UI를 제안하였다. 본 논문에서 제안한 시스템은 딥러닝에 대한 사전 지식이 없는 사용자가 편리하게 딥러닝 모델을 생성할 수 있을 것으로 기대된다.

본 논문은 가스 누출 감지와 거주자의 비정상 행동 분석을 결합한 AI 기반 스마트 안전 모 니터링 시스템을 제안한다. 기존 가스 감지 시스템의 오경보 문제와 행동 감지 시스템의 한계를 극 복하기 위해 LSTM, CNN, Random Forest 모델을 결합하여 위험 예측의 정확도를 향상시켰다. 실험 결과, 최종 위험 감지 정확도는 94.1%, 오경보 발생률은 22.3%에서 7.8%로 감소되었다. 특히, AI 모 델을 통해 가스 농도의 급격한 변화와 거주자의 비정상 행동을 종합적으로 분석하여 실제 위험 상 황을 보다 정확하게 판단하고, 실시간으로 위험을 감지하고 자동으로 긴급 구조 요청이 가능함을 입 증했다. 또한, 가스 누출 및 행동 패턴에 따른 위험도를 다단계로 평가하여 대응의 신속성과 정확성 을 높였다. 본 연구는 가정, 산업 현장, 스마트홈 환경에서 실용적으로 적용 가능하며, 향후 다양한 센서 추가, 맞춤형 AI 모델 적용, 실제 환경에서의 장기적 성능 평가를 통한 지속적인 개선 방향을 논의한다. 이를 통해 인명 피해를 최소화하고 더욱 안전한 생활 환경 조성에 기여할 수 있을 것으로 기대된다.

This paper proposes an AI-based smart safety monitoring system that integrates gas leak detection and abnormal behavior analysis to enhance risk prediction accuracy. To address the limitations of traditional gas detection systems with high false alarm rates and the restricted capabilities of behavior detection systems, the study combines LSTM, CNN, and Random Forest models. Experimental results show that the proposed system achieves a final risk detection accuracy of 94.1% and reduces the false alarm rate from 22.3% to 7.8%. Notably, the AI models enable a comprehensive analysis of rapid changes in gas concentration and abnormal behavior patterns, allowing for more accurate risk assessment and real-time emergency response automation. Additionally, the system evaluates risk levels in multiple stages based on gas leaks and behavior patterns, enhancing the speed and accuracy of response. The findings suggest that the proposed system can be practically applied in homes, industrial sites, and smart home environments. Future research will focus on integrating various sensors, developing personalized AI models, and conducting long-term performance evaluations in real-world settings. This approach is expected to minimize casualties and contribute to creating safer living environments.

본 연구는 이상심리학 과점을 통한 인물행동구축을 후안 마요르가(Juan Mayorga)작 <하멜린(Hamelin)> 중, ‘몬테로’의 모순적 행동을 자기애성 성격장애 분류에 대입하여 진행하였다. 작품의 실제 공연 프로덕션 과정에서 기존에 소개된 인물 접근방법을 통한 분석으로 인물의 모순적 행동의 내적 타당성을 확립하지 못하였다. 이러한 문제를 극복하기 위해 작품 집필의 모티브가 된 <피리 부는 사나이>에 대한 분석과 스페인 라발지구에서 발생한 아동성추행 및 아동 음란물 제작 사건의 조사를 바탕으로 언론과 사법부의 사건조작과 은폐사실이 인물의 창작과정에 영향을 준 것을 확인할 수 있었고, 후안 마요르가의 작품 창작의도가 어른들의 탐욕과 모순된 행동으로 인해 아이들이 희생되는 주제의식을 반영하고 있음을 도출하였다. 그 과정에서 인물의 모순적인 행동의 분석이 이상심리학에서의 자기애성 성격장애를 적용함으로써 분석 가능하다는 사실을 포착하였다. 따라서 이상심리학의 정의와 역사, 이상행동 정신장애의 판별 기준을 조사하여 이상행동 의 분류를 정신장애의 유형을 크게 20가지의 범주로 나누고 있는 정신장애의 진단 및 통계편람(DSM-5)의 진단 기준을 통해 ‘몬테로’의 장면별 행동을 텍스트를 중심으로 DSM-5의 자기애성 성격장애 판단기준에 적용하여 분석한 결과 인물의 행동양상이 자기애성 성격장애 중 극심한 자기애, 목표달성을 위한 난폭성에 해당한다는 진단결과를 찾아 볼 수 있었다. 이를 통해 인물 분석과정에서 이상심리학을 통한 접근을 연구하 였다. 즉 본 연구를 통해 극 중 인물의 모순적 행동양상을 분석하는 접근방법으로 이상심리학을 중심으로 인물행동 구축과정에서의 내적 타당성 확립을 도출할 수 있었다. 연구의 결과 DSM-5를 통한 인물의 심리적 분석이 통해 인물행동구축으로의 적용 가능성을 확인하였고, 이는 실제 공연에 적용하여 인물의 내면적 충동 분석을 통한 연기자의 행동의 정당성 구축에 도움이 된다는 결론을 도출하였다.

In this study, from the perspective of abnormal psychology, character building was carried out by applying the contradictory behavior of Montero in Juan Mayorga's <Hamelin> to the classification of narcissistic personality disorder. While preparing “Hamelin” theatrical production, the analysis through the existing character approach failed to establish the internal validity in explaining Montero's contradictory behavior. In order to solve this problem, I analyzed <The Pied Piper>, which became the motive for <Hamelin>, and found out that the character was created by referring to the cases of child molestation and child pornography that occurred in Laval, Spain, and it was found that the depiction of children sacrificed due to adults' greed and contradictory behavior was expressed as the creative intention of this work. In the process, it was discovered that a character's contradictory behavior can be analyzed by referring to the narcissistic personality disorder in abnormal psychology. Through this, I tried to study the approach of abnormal psychology in the character analysis process. In other words, through this study, as a way of approach to analyzing the contradictory behavior patterns of characters in the play, it was possible to derive the establishment of internal validity in the process of building character behavior, focusing on abnormal psychology. As a result of the study, it was confirmed that psychological analysis of characters through DSM-5 can be applied to character construction. I applied it to actual performance and drew the conclusion that analyzing the inner impulses of characters helps to have the internal validity of an actor's acting.

본 연구는 간호사 493명을 대상으로 내현적 자기애, 외모에 대한 사회문화적 태도가 직무스트레스, 사회부과적 완벽주의, 섭식절제를 통해 이상섭식행위에 미치는 영향에 대한 구조모형을 검정하고자 시도되었다. 연구결과 첫째, 이 상섭식행위에 영향을 미치는 변수들의 직접효과는 섭식절제가 가장 큰 요인이었고, 그 다음 사회부과적 완벽주의 순이 었으며 이들 변인은 이상섭식행위를 85% 설명하였다. 둘째, 내현적 자기애는 사회부과적 완벽주의와 섭식절제를 통해 이상섭식행위에 유의한 영향을 미쳤고, 외모에 대한 사회문화적 태도는 섭석절제를 통해 이상섭식행위에 유의한 영향을 미쳤다. 병원 간호사와 보건소 간호사 집단을 조절변수로 하는 다중집단 조절효과에서 직무스트레스와 이상섭식행위와 의 경로계수, 사회부과적 완벽주의와 이상섭식행위와이 경로계수가 집단간 차이가 있어 부분조절효과가 있었다. 따라서 이상섭식행위를 감소시키기 위해서는 과도한 섭식절제에서 벗어날 수 있는 간호중재와 사회부과적 완벽주의를 낮출 수 있는 방안모색이 필요하다.

The purpose of this study was to test the structural model for the effect on abnormal eating behavior targeting 493 nurses. Results, The direct effects of variables affecting abnormal eating behavior were in the order of eating abstinence and socially imposed perfectionism, and these variables explained 85% of abnormal eating behavior. Explicit narcissism had a significant effect on abnormal eating behavior through socially imposed perfectionism and eating restraint, and sociocultural attitude toward appearance through eating restraint. In the multi-group moderating effect, the path coefficients between job stress and abnormal eating behavior, socially imposed perfectionism and abnormal eating behavior were different between groups. Therefore, it is necessary to find a way to lower the socially-imposed perfectionism and nursing intervention that can escape excessive eating abstinence.

Recently, CCTV installations are rapidly increasing in the public and private sectors to prevent various crimes. In accordance with the increasing number of CCTVs, video-based abnormal behavior detection in control systems is one of the key technologies for safety. This is because it is difficult for the surveillance personnel who control multiple CCTVs to manually monitor all abnormal behaviors in the video. In order to solve this problem, research to recognize abnormal behavior using deep learning is being actively conducted. In this paper, we propose a model for detecting abnormal behavior based on the deep learning model that is currently widely used. Based on the abnormal behavior video data provided by AI Hub, we performed a comparative experiment to detect anomalous behavior through violence learning and fainting in videos using 2D CNN-LSTM, 3D CNN, and I3D models. We hope that the experimental results of this abnormal behavior learning model will be helpful in developing intelligent CCTV.

The surveillance system to prevent crime and accidents in advance has become a necessity, not an option in real life. Not only public institutions but also individuals are installing surveillance cameras to protect their property and privacy. However, since the installed surveillance camera cannot be monitored for 24 hours, the focus is on the technology that tracks the video after an accident occurs rather than prevention. In this paper, we propose a system model that monitors abnormal behaviors that may cause crimes through real-time video, and when a specific behavior occurs, the surveillance system automatically detects it and responds immediately through an alarm. We are a model that analyzes real-time images from surveillance cameras and uses I3D models from analysis servers to analyze abnormal behavior and deliver notifications to web servers and then to clients. If the system is implemented with the proposed model, immediate response can be expected when a crime occurs.

Studied in this paper is an advanced detection system which activates emergency alert system to prevent the actual incidence, after computerized evaluation of danger-associated behavior captured in CCTV images. The detection of potential danger involves the ability to discern several steps that may ultimately lead to life-threatening event of an object. The system is designed with preset danger-zone within the zone of interest and analysis of blob composition, based on the assumption that probability of life-threatening event is directly correlated with the proportion of one overlapping with the danger zone. Subsequently, the danger level is evaluated accordingly to the range of encroachment into the danger zone of the targeted objects.

AlInN has been studied extensively over the past few years due to its interesting material properties that are not present in other ternary nitrides. However, basic material study of AlInN has not been reported as much compared to device applications due to the difficulty in the growth. We have performed the material studies from various aspects. A secondary ion mass spectrometry (SIMS) has shown high oxygen content above $1{\times}10^{18}\;cm^{-3}$ with its insensitivity to the growth conditions. While the free carrier concentration observed by the capacitance-voltage (C-V) measurements was about $3{\times}10^{17}\;cm^{-3}$, the activation energy measured by temperature dependent C-V was only about 4 meV. Si doped AlInN (Si level ${\sim}2{\times}10^{18}\;cm^{-3}$) showed almost no carrier freeze-out at carrier density of $1{\times}10^{18}\;cm^{-3}$. More studies were carried out with a transmission electron microscopy, time-resolved photoluminescence and other analytical techniques to understand the results from SIMS and C-V studies. In this report, we will discuss the possible correlations between the abnormal characteristics in AlInN.

Color tracking behavior of in the fringe-field switching (FFS) mode using a liquid crystal with positive dielectric anisotropy has been studied. In the in-plane switching and vertical alignment devices, color chromaticity at normal direction changes from bluish to yellowish white linearly with increasing grey levels from dark to white state. Interestingly, abnormal behavior in color tracking is observed in FFS devices using a liquid crystal with positive dielectric anisotropy, that is, it changes from bluish to yellowish up to a certain middle grey level but turns over to bluish white with further increasing from a grey level to a fully white state. In this paper, we analyze this abnormal effect from the calculated and experimental results.

In this paper, we used LSTM as a method to detect abnormal behavior of motors. We fixed the high layout size to 1 and changed the range of the input values and the neural network structure to see what change in power consumption prediction. Now, as the fourth industrial revolution era, smart factories are attracting attention. All the physical actions of smart factories are done using motors. Continuous monitoring of motor malfunctions helps to detect malfunctions and efficient operation. However, it is difficult to acquire the power consumption constantly due to the influence of the noise. We have experimented with a simple experimental environment, a method of predicting similarity to input data by adjusting the range of the input data or by changing the neural network structure.

A large volume of research has been devoted to the development of security tools for protecting the Smart Grid systems, however the most of them have not taken the Availability, Integrity, Confidentiality (AIC) security triad model, not like CIA triad model in traditional Information Technology (IT) systems, into account the security measures for the electricity control systems. Thus, this study would propose a novel security framework, an abnormal behavior detection system, to maximize the availability of the control systems by considering a unique set of characteristics of the systems.

The new viscosity theory is applied to the abnormal behavior of the viscosity near the critical point. This theory suggests that the viscosity is equal to the product of the absolute pressure(kinetic pressure + internal pressure) and the collision time. We can find this abnormal behavior to be due to the large collision time near the critical point. The agreements between theoriticals and experimentals of the critical enhancement are satisfactory.