• Title/Summary/Keyword: service state

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Effects of Health Satisfaction and Family Relationship Satisfaction on the Depression of Low Income Middle-Aged Men - Focusing on the Mediating Effects of Social Acquaintance Satisfaction - (저소득 중장년 남성의 건강만족도 및 가족관계만족도가 우울에 미치는 영향 - 사회적 친분관계 만족도 매개 효과를 중심으로)

  • Park, Su-Sun
    • Journal of Convergence for Information Technology
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    • v.12 no.2
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    • pp.72-80
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    • 2022
  • In this study, we investigated the effects of health satisfaction and family relationship satisfaction on depression among low-income middle-aged men who are expected to have great economic difficulties. The mediating effect was analyzed to see what kind of change in the depressive state according to the social acquaintance satisfaction. Frequency analysis and regression analysis were performed using SPSS statistics program using data from the 15th Korea Welfare Panel for middle-aged adults aged 50 to 64 years. As a result of analyzing the mediating effect of social acquaintance satisfaction on depression, it showed a partial mediating effect on health satisfaction and a fully mediating effect on family relationship satisfaction. The result of this study is to clearly reveal the effect of service support for improving social acquaintance satisfaction for middle-aged men on mental health such as depression, in the future effective standards can be provided for validation of the validity of social network support services for middle-aged men.

Mental Healthcare Digital Twin Technology for Risk Prediction and Management (정신건강 위험 예측 및 관리를 위한 멘탈 헬스케어 디지털 트윈 기술 연구)

  • SeMo Yang;KangYoon Lee
    • The Journal of Bigdata
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    • v.7 no.1
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    • pp.29-36
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    • 2022
  • The prevalence of stress and depression among emotional workers is increasing due to the rapid increase in emotional labor and service workers. However, the current mental health management of emotional workers is difficult to consider the emotional response at the time of stress situations, and the existing mental health management is limited because the individual's base state is not reflected. In this study, we present mental healthcare digital twin solution technology, a personalized stress risk management solution. For mental health risk management due to emotional labor, a solution simulation is performed to accurately predict stress risk through synchronization/modeling of dynamic objects in virtual space by extracting individual stress risk factors such as emotional/physical response and environment into various modalities. It provides a mental healthcare digital twin solution for predicting personalized mental health risks that can be configured with modalities and objects tailored to the environment of emotional workers and improved according to user feedback.

Influences of Quality and Supply of Infrastructures related with Pregnancy and Childbirth on intentions of childbirth and Settlement (지역내 임신·출산인프라 수준이 출산 및 거주지이전 의사에 미치는 효과)

  • Jehee Lee;Hee-Sun Kim;Eunju Choi;Jong-Keun Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.153-158
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    • 2023
  • The purpose of current study was to identify relations between pregnancy-childbirth infrastructures and intention to childbirth and relocation. We conducted a logistic regression analysis to determine the influence of the pregnancy and childbirth infrastructure level over the people's intentions to have any additional pregnancy and to relocate to other city. The results have showed that the younger the age and the higher the income is, the stronger the intention to have an additional pregnancy becomes, and that of the pregnancy and childbirth infrastructure, only the level of pediatrics service would affect the intention to have another pregnancy. As for the intention to relocate or move to another locations, the results have shown that such intention tends to decline where there are overall sufficient and good pregnancy and childbirth infrastructure in place.

Effect of Cr/Ti/Al Elements on High Temperature Oxidation Behavior of a Ni-Based Superalloy with Thermal Exposure (고온 노출 니켈기 초내열합금 터빈 블레이드의 Cr/Ti/Al 성분이 고온 산화에 미치는 영향)

  • Byung Hak Choe;Sung Hee Han;Dae Hyun Kim;Jong Kee Ahn;Jae Hyun Lee;Kwang Soo Choi
    • Korean Journal of Materials Research
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    • v.33 no.2
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    • pp.77-86
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    • 2023
  • High-temperature oxidation of a Ni-based superalloy was analyzed with samples taken from gas turbine blades, where the samples were heat-treated and thermally exposed. The effect of Cr/Ti/Al elements in the alloy on high temperature oxidation was investigated using an optical microscope, SEM/EDS, and TEM. A high-Cr/high-Ti oxide layer was formed on the blade surface under the heat-treated state considered to be the initial stage of high-temperature oxidation. In addition, a PFZ (γ' precipitate free zone) accompanied by Cr carbide of Cr23C6 and high Cr-Co phase as a kind of TCP precipitation was formed under the surface layer. Pits of several ㎛ depth containing high-Al content oxide was observed at the boundary between the oxide layer and PFZ. However, high temperature oxidation formed on the thermally exposed blade surface consisted of the following steps: ① Ti-oxide formation in the center of the oxide layer, ② Cr-oxide formation surrounding the inner oxide layer, and ③ Al-oxide formation in the pits directly under the Cr oxide layer. It is estimated that the Cr content of Ni-based superalloys improves the oxidation resistance of the alloy by forming dense oxide layer, but produced the σ or µ phase of TCP precipitation with the high-Cr component resulting in material brittleness.

A Study on Environmental Factor Recommendation Technology based on Deep Learning for Digital Agriculture (디지털 농업을 위한 딥러닝 기반의 환경 인자 추천 기술 연구)

  • Han-Jin Cho
    • Smart Media Journal
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    • v.12 no.5
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    • pp.65-72
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    • 2023
  • Smart Farm means creating new value in various fields related to agriculture, including not only agricultural production but also distribution and consumption through the convergence of agriculture and ICT. In Korea, a rental smart farm is created to spread smart agriculture, and a smart farm big data platform is established to promote data collection and utilization. It is pushing for digital transformation of agricultural products distribution from production areas to consumption areas, such as expanding smart APCs, operating online exchanges, and digitizing wholesale market transaction information. As such, although agricultural data is generated according to characteristics from various sources, it is only used as a service using statistics and standardized data. This is because there are limitations due to distributed data collection from agriculture to production, distribution, and consumption, and it is difficult to collect and process various types of data from various sources. Therefore, in this paper, we analyze the current state of domestic agricultural data collection and sharing for digital agriculture and propose a data collection and linkage method for artificial intelligence services. And, using the proposed data, we propose a deep learning-based environmental factor recommendation method.

Characteristics of Patients who Died by Suicide in a Community Mental Health Center (정신건강센터 등록 회원 자살사망자 특성)

  • Nah, Gihoi;Choi, Seunggi;Kim, Honey;Lee, Ju-Yeon;Kim, Jae-Min;Shin, Il-Seon;Yoon, Jin-Sang;Kim, Sung-Wan
    • Korean Journal of Schizophrenia Research
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    • v.20 no.2
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    • pp.55-60
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    • 2017
  • Objectives : Severe mental illness is a major risk factor for suicide. This study aimed to identify characteristics of patients who died by suicide among subjects who had been received service from a community mental health center. Methods : We searched individuals who had committed suicide in Gwangju Bukgu Community Mental Health Center since 2006. Sociodemographic and clinical data were gathered from medical records and their case managers and they were compared with those of general members in the center. Characteristics of schizophrenia patients who died by suicide were particularly summarized. Results : Twelve person committed suicide between 2006 and 2016. The characteristics of those who died by suicide were male (67%), diagnosis of schizophrenia (75%), aged below 50 (83%), unemployed (92%), past history of psychiatric hospitalization (100%), recent admission within 3 months (67%), past history of suicidal attempt (78%), family history of schizophrenia (58%), poor adherence to medication (58%), and use of daily rehabilitation program (42%). Ten out of twelve (83%) showed warning sign for suicide. All identified method of suicide in patients with schizophrenia was jumping from high building. Many patients with schizophrenia, who committed suicide, suffered from comorbid depressive symptoms (67%) and auditory hallucination (78%). Conclusion : Case managers should pay attention to and carefully manage individuals who showed suicidal warning, particularly with risk factors for suicide, such as unemployment, admission state or recent discharge from psychiatric hospital, poor adherence to medication, family history of schizophrenia, and a history of suicidal attempt.

Rock cutting behavior of worn specially-shaped PDC cutter in crystalline rock

  • Liu, Weiji;Yang, Feilong;Zhu, Xiaohua;Zhang, Yipeng;Gong, Shuchun
    • Geomechanics and Engineering
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    • v.31 no.3
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    • pp.249-263
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    • 2022
  • The specially-shaped Polycrystalline Diamond Compact (PDC) cutter is widely used in drill bit design due to its advantages of high rock cutting efficiency, strong impact resistance and long service life in hard and abrasive formation drilling. A detailed understanding of rock cutting behavior of worn specially-shaped PDC cutter is essential to improve the drilling efficiency and decrease the drilling costs. In this paper, the theoretical models of two new principles (loading performance (LP) and cutting performance (CP)) are derived for evaluating the cutting process of worn specially-shaped cutter, the theoretical models consider the factors, such as cutter geometry, aggressiveness, stress state, working life, and rock cutting efficiency. Besides, the numerical model of heterogeneous granite is developed using finite element method combined with Voronoi tessellation, the LP and CP of 12 kinds of worn specially-shaped PDC (SPDC) cutters are analyzed. The results found that the mechanical specific energy (MSE) of worn cutters first increase and then decrease with increasing the cutting depth, and the MSE increase with the increase of back rake angle except for Conical cutter and Wedge-shaped cutter. From the perspective of CP, the worn PDC cutters are more suitable for the smaller cutting depths, and the back rake angle has little effect on the CP of the specially-shaped worn PDC cutters. Conical cutter, Saddle-shaped cutter and Ellipse-shaped cutter have the highest CP value, while Rhombus-shaped cutter, Convex cutter and Wedge-shaped cutter have the lowest value in selecting cutters. This research leads to an enhanced understanding of rock-breaking mechanisms of worn SPDC cutters, and provides the basis to select of specially-shaped PDC cutters for the specific target formation.

Accuracy analysis of artificial respiration and chest compressions when performing CPR using a mannequin by college students (대학생의 마네킹을 이용한 심폐소생술 시행 시 인공호흡과 흉부압박의 정확도 분석)

  • Jeon Jai-In
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.5
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    • pp.167-173
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    • 2023
  • The purpose of this study was to analyze the accuracy of artificial respiration and chest compressions using CPR mannequins for university students. First, in the number of chest compressions, subjects A, F, H, I, and J showed similar numbers from 60 to 63, respectively, which were much lower than the standard. Subjects B, D, E, and G showed 90 to 91 times, maintaining the normal range. However, C was rather high with 119 times. Second, the depth of chest compression was 58.60mm, and most of them were deeply compressed. Subject C was close to normal at 51mm, and subjects A to J were significantly higher at 55mm to 62mm. The reason seems to be the result of an unstable psychological state with no experience of chest compressions and a lack of self-confidence. Third, in terms of accuracy, subject E showed the lowest accuracy at 12%, and A~J showed 33%~80%. Experiment subject B showed 95% accuracy, which seems to be the result of D accurately recognizing the chest compression point through theoretical training during military service.

Whole-life wind-induced deflection of insulating glass units

  • Zhiyuan Wang;Junjin Liu;Jianhui Li;Suwen Chen
    • Wind and Structures
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    • v.37 no.4
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    • pp.289-302
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    • 2023
  • Insulating glass units (IGUs) have been widely used in buildings in recent years due to their superior thermal insulation performance. However, because of the panel reciprocating motion and fatigue deterioration of sealants under long-term wind loads, many IGUs have the problem of early failure of watertight properties in real usage. This study aimed to propose a statistical method for wind-induced deflection of IGU panels during the whole life service period, for further precise analysis of the accumulated fatigue damage at the sealed part of the edge bond. By the estimation of the wind occurrence regularity based on wind pressure return period, the events of each wind speed interval during the whole life were obtained for the IGUs at 50m height in Beijing, which are in good agreement with the measured data. Also, the wind-induced deflection analysis method of IGUs based on the formula of airspace coefficient was proposed and verified as an improvement of the original stiffness distribution method with the average relative error compared to the test being about 3% or less. Combining the two methods above, the deformation of the outer and inner panes under wind loads during 30 years was precisely calculated, and the deflection and stress state at selected locations were obtained finally. The results show that the compression displacement at the secondary sealant under the maximum wind pressure is close to 0.3mm (strain 2.5%), and the IGUs are in tens of thousands of times the low amplitude tensile-compression cycle and several times to dozens of times the relatively high amplitude tensile-compression cycle environment. The approach proposed in this paper provides a basis for subsequent studies on the durability of IGUs and the wind-resistant behaviors of curtain wall structures.

Evaluating the Current State of ChatGPT and Its Disruptive Potential: An Empirical Study of Korean Users

  • Jiwoong Choi;Jinsoo Park;Jihae Suh
    • Asia pacific journal of information systems
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    • v.33 no.4
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    • pp.1058-1092
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    • 2023
  • This study investigates the perception and adoption of ChatGPT (a large language model (LLM)-based chatbot created by OpenAI) among Korean users and assesses its potential as the next disruptive innovation. Drawing on previous literature, the study proposes perceived intelligence and perceived anthropomorphism as key differentiating factors of ChatGPT from earlier AI-based chatbots. Four individual motives (i.e., perceived usefulness, ease of use, enjoyment, and trust) and two societal motives (social influence and AI anxiety) were identified as antecedents of ChatGPT acceptance. A survey was conducted within two Korean online communities related to artificial intelligence, the findings of which confirm that ChatGPT is being used for both utilitarian and hedonic purposes, and that perceived usefulness and enjoyment positively impact the behavioral intention to adopt the chatbot. However, unlike prior expectations, perceived ease-of-use was not shown to exert significant influence on behavioral intention. Moreover, trust was not found to be a significant influencer to behavioral intention, and while social influence played a substantial role in adoption intention and perceived usefulness, AI anxiety did not show a significant effect. The study confirmed that perceived intelligence and perceived anthropomorphism are constructs that influence the individual factors that influence behavioral intention to adopt and highlights the need for future research to deconstruct and explore the factors that make ChatGPT "enjoyable" and "easy to use" and to better understand its potential as a disruptive technology. Service developers and LLM providers are advised to design user-centric applications, focus on user-friendliness, acknowledge that building trust takes time, and recognize the role of social influence in adoption.