• 제목/요약/키워드: predictive role

검색결과 281건 처리시간 0.026초

학령기 자녀를 둔 어머니의 양육스트레스 : 자아탄력성, 사회적지지 및 자녀성적의 영향 (Parenting Stress in Mothers of School-aged Children : Effects of Ego-resilience, Social Support and School Grades of Children)

  • 정명숙
    • 가정과삶의질연구
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    • 제26권6호
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    • pp.107-121
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    • 2008
  • This study aimed to examine the effects of ego-resilience and social support on parenting stress perceived by mothers of school-aged children. The effects of demographic variables(including school grades of children) on the mothers' parenting stress were also investigated. The main results were as follows. First, ego-resilience of mothers was found to have the greatest predictive power on mothers' parenting stress. The more ego-resilient the mothers were, the less parenting stress was perceived. Second, social support also played an important role in alleviating maternal parenting stress. Emotional support of spouses was particularly effective in reducing mothers' parenting stress. Third, the only demographic variable that influenced mothers' parenting stress was their children's academic achievements. Finally, mothers perceived high parenting stress in relation to their children's school grades, while they perceived relatively less parenting stress concerning their children's temperament or the relationship with their children. The implications of these results were discussed.

EIV를 이용한 신경회로망 기반 고장진단 방법 (Neural-network-based Fault Detection and Diagnosis Method Using EIV(errors-in variables))

  • 한형섭;조상진;정의필
    • 한국소음진동공학회논문집
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    • 제21권11호
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    • pp.1020-1028
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    • 2011
  • As rotating machines play an important role in industrial applications such as aeronautical, naval and automotive industries, many researchers have developed various condition monitoring system and fault diagnosis system by applying artificial neural network. Since using obtained signals without preprocessing as inputs of neural network can decrease performance of fault classification, it is very important to extract significant features of captured signals and to apply suitable features into diagnosis system according to the kinds of obtained signals. Therefore, this paper proposes a neural-network-based fault diagnosis system using AR coefficients as feature vectors by LPC(linear predictive coding) and EIV(errors-in variables) analysis. We extracted feature vectors from sound, vibration and current faulty signals and evaluated the suitability of feature vectors depending on the classification results and training error rates by changing AR order and adding noise. From experimental results, we conclude that classification results using feature vectors by EIV analysis indicate more than 90 % stably for less than 10 orders and noise effect comparing to LPC.

FOXA1: a Promising Prognostic Marker in Breast Cancer

  • Hu, Qing;Luo, Zhou;Xu, Tao;Zhang, Jun-Ying;Zhu, Ying;Chen, Wei-Xian;Zhong, Shan-Liang;Zhao, Jian-Hua;Tang, Jin-Hai
    • Asian Pacific Journal of Cancer Prevention
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    • 제15권1호
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    • pp.11-16
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    • 2014
  • Accurate diagnosis and proper monitoring of cancer patients remain important obstacles for successful cancer treatment. The search for cancer biomarkers can aid in more accurate prediction of clinical outcome and may also reveal novel predictive factors and therapeutic targets. One such prognostic marker seems to be FOXA1. Many studies have shown that FOXA1 is strongly expressed in a vast majority of cancers, including breast cancer, in which high expression is associated with a good prognosis. In this review, we summarize the role of this transcription factor in the development and prognosis of breast cancer in the hope of providing insights into utility of FOXA1 as a novel biomarker.

Construal Levels and Online Shopping: Antecedents of Visits to and Purchases from Online Retailers' Websites

  • Sthapit, Anesh;Jo, Gin-Young;Hwang, Yoon-Yong
    • 산경연구논집
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    • 제7권3호
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    • pp.19-25
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    • 2016
  • Purpose - This study explores the role of construal levels in predicting online consumer behavior on a retail website. It builds on the conceptualization that simply browsing a website and making actual purchases can be an outcome of how abstractly or concretely one thinks about that experience. This study examines the differential effects of intermediary websites' attributes and seller's product offerings in predicting frequency of visits and actual purchases. Research design, data, and methodology - Data were collected from 188 undergraduate students in a large university of Korea. Hierarchical regression model was utilized to test the proposed effect of website characteristics and seller attributes on visit and purchase. Results - We propose and find that online shopping website visits and purchase frequency have different antecedents. The results reveal that website visit frequency and purchase have different predictors and this can be explained through construal level theory. Specifically, we find purchase frequency is predicted more by website image and financial benefits can be more predictive in actual purchases. Conclusions - Consumer behavior on the internet can be delineated into website visits and actual purchases. First, uplifting the image of the website itself is much more important than just making offerings cheaper. Online shopping website should try to match its features to mental representations that customers go through from just visit (abstract) to purchase (concrete).

의사결정나무 분석기법을 이용한 청소년의 인터넷게임 중독 영향 요인 예측 모형 구축 (A Prediction Model for Internet Game Addiction in Adolescents: Using a Decision Tree Analysis)

  • 김기숙;김경희
    • 대한간호학회지
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    • 제40권3호
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    • pp.378-388
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    • 2010
  • Purpose: This study was designed to build a theoretical frame to provide practical help to prevent and manage adolescent internet game addiction by developing a prediction model through a comprehensive analysis of related factors. Methods: The participants were 1,318 students studying in elementary, middle, and high schools in Seoul and Gyeonggi Province, Korea. Collected data were analyzed using the SPSS program. Decision Tree Analysis using the Clementine program was applied to build an optimum and significant prediction model to predict internet game addiction related to various factors, especially parent related factors. Results: From the data analyses, the prediction model for factors related to internet game addiction presented with 5 pathways. Causative factors included gender, type of school, siblings, economic status, religion, time spent alone, gaming place, payment to Internet cafe$\acute{e}$, frequency, duration, parent's ability to use internet, occupation (mother), trust (father), expectations regarding adolescent's study (mother), supervising (both parents), rearing attitude (both parents). Conclusion: The results suggest preventive and managerial nursing programs for specific groups by path. Use of this predictive model can expand the role of school nurses, not only in counseling addicted adolescents but also, in developing and carrying out programs with parents and approaching adolescents individually through databases and computer programming.

Predictors of Tobacco-Control Activities of Community Health Practitioners: Report from a National Survey

  • Kim Jin-Sun;Song Mee-Suk;Oh Hyun-Ei
    • 대한간호학회지
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    • 제34권8호
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    • pp.1443-1450
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    • 2004
  • The involvement of health-care professionals in tobacco-control activities is essential to prevent smoking-related morbidity and mortality. The purposes of this predictive correlational study were to examine tobacco-control activities and to identify the predictors of such activities of community health practitioners (CHPs). Of the 1,813 members of the Korean Association of CHP, 1,247 participated in this study. A mailed survey was conducted to collect data. The majority of CHPs supported tobacco-control policies and recognized tobacco-control activities as an important role for them. Only $44.3\%$ of CHPs were confident in their knowledge and skills regarding tobacco-control activities, and only $30.8\%$ had received professional tobacco-control education. While the majority of the CHPs 'asked, advised, and assessed' their clients, only a small number 'assisted or arranged'. The tobacco-control activities of CHPs were predicted by their attitude toward it, age, experience of tobacco-control education, educational level, and general perception of the risk of smoking; these variables accounted $13.5\%$ of variance in the tobacco-control activities of CHPs. These findings provide the basis for developing a continuing education program for CHPs. CHPs should be encouraged to integrate tobacco-control activities into their routine practice, and CHP education programs should be adjusted to increase the time spent on the tobacco-control intervention techniques.

Dot-Blot Immunoassay of Fasciola gigantica Infection using 27 kDa and Adult Worm Regurge Antigens in Egyptian Patients

  • Kamel, Hanan H.;Saad, Ghada A.;Sarhan, Rania M.
    • Parasites, Hosts and Diseases
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    • 제51권2호
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    • pp.177-182
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    • 2013
  • The purpose of the present study was to evaluate the potential role of the 27-Kilodalton (KDa) antigen versus Fasciola gigantica adult worm regurge antigens in a DOT-Blot assay and to assess this assay as a practical tool for diagnosis fascioliasis in Egyptian patients. Fasciola gigantica antigen of an approximate molecular mass 27- (KDa) was obtained from adult worms by a simple elution SDS-PAGE. A Dot-Blot was developed comparatively to adult worm regurge antigens for the detection of specific antibodies from patients infected with F. gigantica in Egypt. Control sera were obtained from patients with other parasitic infections and healthy volunteers to assess the test and compare between the antigens. The sensitivity, specificity, positive and negative predictive values of Dot-Blot using the adult worm regurge were 80%, 90%, 94.1%, and 69.2% respectively, while those using 27-KDa were 100% which confirms the diagnostic potential of this antigen. All patients infected with Fasciola were positive, with cross reactivity reported with Schistosoma mansoni serum samples. This 27-KDa Dot-Blot assay showed to be a promising test which can be used for serodiagnosis of fascioliasis in Egyptian patients especially, those presenting with hepatic disease. It is specific, sensitive and easy to perform method for the rapid diagnosis particularly when more complex laboratory tests are unavailable.

Semi-active friction dampers for seismic control of structures

  • Kori, Jagadish G.;Jangid, R.S.
    • Smart Structures and Systems
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    • 제4권4호
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    • pp.493-515
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    • 2008
  • Semi-active control systems have attracted a great deal of attention in recent years because these systems can operate on battery power alone, proving advantageous during seismic events when the main power source of the structure may likely fail. The behavior of semi-active devices is often highly non-linear and requires suitable and efficient control algorithm. This paper presents the comparative study and performance of variable semi-active friction dampers by using recently proposed predictive control law with direct output feedback. In this control law, the variable slip force of semi-active variable friction damper is kept slightly lower than the critical friction force, which allows the damper to remain in the slip state during an earthquake, resulting in improved energy dissipation capability. This control algorithm is able to produce a continuous and smooth slip forces for a variable friction damper. The numerical examples include a structure controlled with multiple variable semi-active friction dampers and with multiple passive friction dampers. A parameter, gain multiplier defined as the ratio of damper force to critical damper control force, is investigated under four different real earthquake ground motions, which plays an important role in the present control algorithm of the damper. The numerically evaluated optimum parametric value is considered for the analysis of the structure with dampers. The numerical results of the variable friction dampers show better performance over the passive dampers in reducing the seismic response of structures.

Predictive Role of Glutathione-S-transferase Gene Polymorphisms in the Survival of Gastric Cancer Cases

  • Wang, Zhao-Yang;Zhou, Jing;Luo, Li;Huang, Ying-Long;Dong, Pei-De
    • Asian Pacific Journal of Cancer Prevention
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    • 제13권4호
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    • pp.1515-1518
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    • 2012
  • Aim: We conducted a prospective study in an Chinese population to detect the association between GSTM, GSTT and GSTP gene polymorphisms and survival of gastric cancer. Methods: A prospective follow-up study with 317 gastric cancer patients was conducted between January 2003 and January 2005. GSTM1, GSTT1 and GSTP1 genotyping was performed using ABI TaqMan Gene Expression assays. Results: Of 317 patients, 5 were lost to follow-up due to migration, while the remaining 302 patients completed the study. The median follow-up time was 34.2 months (range: 2 to 60 months), during which a total of 120 (39.1%) died of gastric cancer. The GSTT1-null genotype showed a significant increased risk of death from gastric cancer, with an HR (95% CI) of 1.59 (1.04-3.58). Moreover, we found individuals carrying null-GSTM1 and null-GSTT1 had a moderate higher risk of death from gastric cancer, with an HR of 1.92 (1.05-3.65). Conclusion: This study reported the carriage of null GSTT1 and null GSTM1 might be linked to the higher death risk from gastric cancer in Chinese population.

HQSAR Study on Imidazo[1,2-b]pyridazine Derivatives as p38 MAP Kinase Antagonists

  • Bhujbal, Swapnil P.;Keretsu, Seketoulie;Cho, Seung Joo
    • 통합자연과학논문집
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    • 제11권2호
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    • pp.107-112
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    • 2018
  • p38 MAP kinase belongs to the Mitogen-activated protein (MAP) kinase family; a serine/threonine kinase. It plays an important role in intracellular signal transduction pathways. It is associated with the development and progression of various cancer types making it a crucial drug target. Present study involves the HQSAR analysis of recently reported imidazo[1,2-b]pyridazine derivatives as p38 MAP kinase antagonists. The model was generated with Atom (A), bond (B), chirality (Ch), and hydrogen (H) parameters and with different set of atom counts to improve the model. An acceptable HQSAR model ($q^2=0.522$, SDEP=0.479, NOC=5, $r^2=0.703$, SEE=0.378, BHL=97) was developed which exhibits good predictive ability. A contribution map for the most active compound (compound 17) illustrated that hydrogen and nitrogen atoms in the ring A and ring B, as well as nitrogen atom in ring C and the hydrogen atom in the ring D provided positive activity in inhibitory effect while, the least active compound (compound 05) possessed negative contribution to inhibitory effect. Hence, analysis of produced HQSAR model can provide insights in the designing potent and selective p38 MAP kinase antagonists.