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Effects of exposure to endocrine disruptors, burnout, and social support from peers on premenstrual syndrome in nurses (간호사의 내분비계 교란 물질 노출, 감정 노동, 동료 지지가 월경 전 증후군에 미치는 영향)

  • Chang, Hye Young;Park, SoMi
    • Women's Health Nursing
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    • v.26 no.2
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    • pp.171-179
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    • 2020
  • Purpose: This study aimed to investigate the effects of exposure to endocrine disruptors, burnout, and social support from peers on premenstrual syndrome (PMS) in nurses. Methods: This descriptive correlational study was conducted among 122 nurses under the age of 49 working at a university hospital. The participants answered self-report questionnaires. The data were analyzed using the t-test, analysis of variance, Pearson or Spearman correlation coefficients, and hierarchical multiple regression in IBM SPSS version 23.0. Results: The mean age of the nurses was 28.9 years. Of these nurses, 49.2% were working in a general ward, 24.6% in the intensive care unit, 14.8% in the emergency room, and 11.4% in an outpatient department. The explanatory power of the model was 38.3%, and it was statistically significant (F=11.74, p≤.001). Exposure to endocrine disruptors (β=0.32, p<.001) was the most powerful variable affecting PMS, followed by burnout (β=0.27, p=.001), working in the intensive care unit or emergency room (β=0.22, p=.003), family history of PMS (β=0.19, p=.009), and support from coworkers (β=-0.15, p=.043). Conclusion: Based on these findings, it is necessary to develop an intervention program to reduce the symptoms of PMS. Additionally, further studies are needed to develop and evaluate measures to minimize exposure to endocrine disruptors and burnout in order to alleviate PMS among nurses.

Study of Radiation Mapping System for Water Contamination in Water System (방사능 수치 오염 지도 작성을 위한 방사선 계측 시스템 연구)

  • Na, Teresa W.;Kim, Han Soo;Yeon, Jei Won;Lee, Rena;Ha, Jang Ho
    • Journal of Radiation Industry
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    • v.5 no.2
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    • pp.185-189
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    • 2011
  • As nuclear industry has been developed, a various types of radiological contamination has occurred. After 9.11 terror in U.S.A., it has been concerned that terrorists' active area has been enlarged to use nuclear or radioactive substance. Recently, the most powerful earth-quake stroke, which triggered a massive tsunami in Japan and then Fukushima nuclear power plant reactor has suffered from a serious accident in history. The Fukushima reactor accident has occurred an anxiety of radiation leaks and about 170,000 people have been evacuated from the accidental area near the nuclear power plant. For these reasons, a social chaos can be occurred if radiological contamination occurs to the supply system for the drinking water. As such, the establishment of the radiation monitoring system for the city main water system is compelling for the national security. In this study, a feasibility test of radiation monitoring system which consists of unified hybrid-type radiation detectors was experimented for multi detection system by using gamma-ray imaging. The hybrid-type radiation sensors were fabricated with CsI(Tl) scintillators and photodiodes. A preamplifier and amplifier was also fabricated and assembled with the sensor in the shielding case. For the preliminary test of detection of radiological contamination in the river, multi CsI(Tl)-PIN photodiode radiation detectors and $^{137}Cs$ gamma-ray source were used. The DAQ was done by Linux based ROOT program and NI DAQ system with Labview program. The simulated contamination was assumed to be occurred at Gapcheon river in Daejeon city. Multi CsI(Tl)-PIN photodiode radiation detectors were positioned at the Gapcheon river side. Assuming that the radiological contaminations flows in the river the $^{137}Cs$ gamma-ray source has been moved and then, the contamination region was reconstructed.

Simulation of Wheat Yield under Changing Climate in Pakistan (파키스탄 기후변화에 따른 밀생산량 모의)

  • Ahmad, Mirza Junaid;Choi, Kyung-Sook
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.199-199
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    • 2017
  • Sustainable wheat production is of paramount importance for attaining/maintaining the food self-sufficiency status of the rapidly growing nation of Pakistan. However, the average wheat yield per unit area has been dwindling in recent years and the climate-induced variations in rainfall patterns and temperature regimes, during the wheat growth period, are believed to be the reason behind this decline. Crop growth simulation models are powerful tools capable of playing pivotal role in evaluating the climate change impacts on crop yield or productivity. This study was aimed to predict the plausible variations in the wheat yield for future climatic trends so that possible mitigation strategies could be explored. For this purpose, Aquacrop model v. 4.0 was employed to simulate the wheat yield under present and future climatology of the largest agricultural province of Punjab in Pakistan. The data related to crop phenology, management and yield were collected from the experimental plots to calibrate and validate the model. The future climate projections were statistically downscaled from five general circulation models (GCMs) and compared with the base line climate from 1980 to 2010. The model was fed with the projected climate to simulate the wheat yield based on the RCP (representative concentration pathways) 4.5 and 8.5. Under the worst, most likely future scenario of temperature rise and rainfall reduction, the crop yield decreased and water footprint, especially blue, increased, owing to the elevated irrigation demands due to accelerated evapotranspiration rates. The modeling results provided in this study are expected to provide a basic framework for devising policy responses to minimize the climate change impacts on wheat production in the area.

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A Study on the Factors Influencing College Students' Smartphone Addiction

  • Kim, Kyung Ho
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.4
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    • pp.173-181
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    • 2020
  • The objective of the present study was to identify the factors influencing the smartphone addiction among college students and to obtain basic information in terms of enhancing proper use of the smartphone. Based on the previous literature with constructs of depression, aggression, self-control and smartphone addiction, a research model was prepared. A total of 332 students were selected from 5 universities in G Metropolitan City and collected data were analyzed through hierarchical multiple regression. The major results of the study were as follows. First, self-control was the most powerful predictor of smartphone addiction. Second, anger caused smartphone addiction to increase whereas social experience caused smartphone addiction to decrease. Third, depression did not cause smartphone addiction to increase. Finally, implications for preventing and decreasing the smartphone addiction among college students were also provided.

Factors Influencing Eating Disorders of College Women (여대생의 섭식장애에 영향을 미치는 요인에 관한 연구)

  • Sung, Mi-Hae
    • Journal of the Korean Society of School Health
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    • v.18 no.1
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    • pp.71-82
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    • 2005
  • Purpose: This study was undertaken in order to examine relations of eating disorders, health locus of control of college women, and to determine factors affecting eating disorders of college women. Method: The subjects were 282 students at a university in Busan. The instrument used for this study was a questionnaire on general characteristics, eating disorders (24 items), health locus of control (11 items) and self-esteem (10 items). Data were analyzed using means, percentages, t-test, ANOVA, Pearson correlation coefficients and stepwise multiple regression with a SPSS WIN 11.0 program. Result: Depending on BMI, there was no obese subject, 62.0% of the subjects were underweight, and 37.9% were normal. Over 40% of the subjects perceived them to be overweight while 62.1% of the women were underweight as defined by BMI. The total mean score of anorexia was higher than bulimia nervosa. There were significant differences in eating disorders according to BMI, perceived view of appearance, body satisfaction, experienced weight-control, and predictors of weight control method. Eating disorders showed a significant negative correlation with health locus of control and self-esteem. Stepwise multiple regression analysis revealed that the most powerful predictor of eating disorders was BMI. Experienced weight control, health locus of control and self-esteem and body appearance had significant effects on eating disorders. These predictive variables of eating disorders explained 27% of variance. Conclusion: The result of this study showed that eating behaviors among college women developed into eating disorders or were seriously disturbed. Therefore, to prevent eating disorders, health education should be provided to college women in relation to eating behaviors for health management.

Yoga of Consilience through Immersive Sound Experience (실감음향 체험을 통한 통섭의 요가)

  • Hyon, Jinoh
    • Journal of Broadcast Engineering
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    • v.26 no.5
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    • pp.643-651
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    • 2021
  • Most people acquire information visually. Screens of computers, smart phones, etc. constantly stimulate people's eyes, increasing fatigue. In this social phenomenon, the realistic and rich sound of the 21st century's state-of-art sound system can affect people's bodies and minds in various ways. Through sound, human beings are given space to calm and observe themselves. The purpose of this paper is to introduce immersive yoga training based on 3D sound conducted together by ALgruppe & Rory's PranaLab and to promote the understanding of immersive audio system. As a result, people, experienced immersive yoga, not only enjoy the effect of sound, but also receive a powerful energy that gives them a sense of inner self-awareness. This is a response to multidisciplinary exchange required by the knowledge of modern society, and at the same time, informs the possibility of new cultural contents.

Screening of novel alkaloid inhibitors for vascular endothelial growth factor in cancer cells: an integrated computational approach

  • Shahik, Shah Md.;Salauddin, Asma;Hossain, Md. Shakhawat;Noyon, Sajjad Hossain;Moin, Abu Tayab;Mizan, Shagufta;Raza, Md. Thosif
    • Genomics & Informatics
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    • v.19 no.1
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    • pp.6.1-6.10
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    • 2021
  • Vascular endothelial growth factor (VEGF) is expressed at elevated levels by most cancer cells, which can stimulate vascular endothelial cell growth, survival, proliferation as well as trigger angiogenesis modulated by VEGF and VEGFR (a tyrosine kinase receptor) signaling. The angiogenic effects of the VEGF family are thought to be primarily mediated through the interaction of VEGF with VEGFR-2. Targeting this signaling molecule and its receptor is a novel approach for blocking angiogenesis. In recent years virtual high throughput screening has emerged as a widely accepted powerful technique in the identification of novel and diverse leads. The high resolution X-ray structure of VEGF has paved the way to introduce new small molecular inhibitors by structure-based virtual screening. In this study using different alkaloid molecules as potential novel inhibitors of VEGF, we proposed three alkaloid candidates for inhibiting VEGF and VEGFR mediated angiogenesis. As these three alkaloid compounds exhibited high scoring functions, which also highlights their high binding ability, it is evident that these alkaloids can be taken to further drug development pipelines for use as novel lead compounds to design new and effective drugs against cancer.

Compositional Analysis of Lentil (Lens culinaris) Cultivars Related to Colors and Their Antioxidative Activity

  • Lee, So-Young;Yeo, Yun-Soo;Park, Soo-Yun;Lee, Seong-Gon;Lee, Si-Myung;Cho, Hyun-Suk;Chung, Nam-Jin;Oh, Seon-Woo
    • Plant Breeding and Biotechnology
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    • v.5 no.3
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    • pp.192-203
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    • 2017
  • Metabolite profile is a powerful analytical technique to identify the functional characterization of plants. In this study, the phytochemicals and secondary metabolites of lentils (Lens culinaris) were analyzed to compare the anti-oxidative activities according to the different colors. The polar metabolites, fatty acids, carotenoids, flavonoids, anthocyanins, total phenolic acids, DPPH activity were analyzed. Three kind of lentils, French green whole lentil (FG), red whole lentil (LR), and green whole lentil (LG) (ASIA SEED Co., LTD), were used for this study. Fatty acids, phytochemicals, and antioxidative components from each lentil varieties were analyzed by official methods. The contents of lutein in carotenoids were 6-9 times higher than zeaxanthin in all lentils, but were not significantly different among three varieties. The content of carotenoids in FG was lower significantly than those in the LR and LG. Myricetin and luteolin were detected in the only FG. Kaempferol and delphinidin were significantly highest in the FG. Most of the phenolic acids except coumarate were higher in FG and LG than in LR. Also antioxidant effects ($EC_{50}$) were higher in FG and LG than in LR. The analyzed metabolites obtained from lentils showed distinct separation in the PCA results according to the varieties. Also, lentils showed different anti-oxidant profiles according to the colors. FG and LG showing higher contents of phytochemicals showed higher antioxidative activity than LG containing relative low contents of phytochemicals.

Genetic Diversity of Rice Collections using Subspecies-specific STS Markers (아종특이적 STS 마커를 이용한 벼 품종의 유전다양성 분석)

  • Kim, Bong-Song;Jiang, Wenzhu;Koh, Hee-Jong
    • Korean Journal of Breeding Science
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    • v.41 no.2
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    • pp.101-105
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    • 2009
  • Rice (Oryza sativa L.), the world's most important crop, is usually classified into ssp. indica and japonica based on morpho-physiological traits. In the previous study, we have developed subspecies-specific STS markers (SS markers) to readily discriminate between indica and japonica in O. sativa. In this study, we employed SS markers to investigate the genomic inclination of worldwide collections of O. sativa. A total of 320 varieties were divided into two groups with 63 SS markers. Namely, they formed two distinctive groups, indica and japonica, as expected by their geographic origin. The population structure analysis revealed that the variability of genetic background was greater in indica than in japonica. Some of them, however, exhibited intermediate genomic inclination between indica and japonica. These results are in general agreement with the previous studies, suggesting that SS markers are powerful tools for both determination of subspecies genome and assessment of genetic diversity in rice.

A Study on the Interrelationship between DISC Personality Types and Cyber Security Threats : Focusing on the Spear Phishing Attacks (DISC 성격 유형과 사이버 보안 위협간의 상호 연관성에 관한 연구 : 스피어피싱 공격 사례를 중심으로)

  • Kim, Mookjung;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.1
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    • pp.215-223
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    • 2019
  • The recent trend of cyber attack threat is mainly APT (Advanced Persistent Threat) attack. This attack is a combination of hacking techniques to try to steal important information assets of a corporation or individual, and social engineering hacking techniques aimed at human psychological factors. Spear phishing attacks, one of the most commonly used APT hacking techniques, are known to be easy to use and powerful hacking techniques, with more than 90% of the attacks being a key component of APT hacking attacks. The existing research for cyber security threat defense is mainly focused on the technical and policy aspects. However, in order to preemptively respond to intelligent hacking attacks, it is necessary to study different aspects from the viewpoint of social engineering. In this study, we analyze the correlation between human personality type (DISC) and cyber security threats, focusing on spear phishing attacks, and present countermeasures against security threats from a new perspective breaking existing frameworks.