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      • KCI등재

        Abandoned, Lost and Discarded Fishing Gear from the Fishing Sector of Kerala, India

        Damaris Benny Daniel,Saly N. Thomas 한국해양과학기술원 2022 Ocean science journal Vol.57 No.3

        Abandoned, lost or otherwise discarded fishing gear (ALDFG) is rapidly becoming a major global environmental problem. In the present study, a survey of 390 fishermen operating ten different types of fishing gear was conducted, to get a quantitative estimate of ALDFG generated in the fishing intense coastal state of India (Kerala). On average, the total gear loss from 10 selected marine fishing gears operated in Kerala was estimated to be 167.5 ± 251.7 kg.vessel−1 year−1. Fishing crews reported that each year, 11.6% of the total gear used is lost, 7.5% is abandoned, and 2.3% is discarded. There was significant variation in the ALDFG incurred regarding different types of fishing gears. Motorized large mesh ring seine recorded the highest gear loss (35.5%), followed by motorized small mesh ring seine (29.7%), mini trawl (27.4%), trammel net (24.4%), motorized gillnet (18.75%), non-motorized gillnet (16.3%), small trawl (14.6%), large trawl (12.07%), medium trawl (11.25%) and shore seine (0.32%). The ALDFG estimates and associated trends worked out in the current study can assist filling in data gaps about fishing gear loss and aid in the design of strategies to manage marine debris from the fishing industry.

      • KCI등재

        Bias dependent relaxation in different phases of an orthoconic antiferroelectric liquid crystal mixture (W-182)

        P. Nayek,S. Ghosh,S. Kundu,T. Pal Majumder,S.K. Roy,N. Bennis,J.M. Otón,R. Dabrowski 한국물리학회 2010 Current Applied Physics Vol.10 No.2

        The electro-optical behavior of the orthoconic antiferroelectric liquid crystal mixture W-182 has been studied. Surface-stabilized, low thickness cells of this mixture give a perfect double hysteresis loop with 1 Hz triangular signal, reaching different transmission levels for different voltages amplitudes. These levels can be stabilized with a single holding voltage, making it possible for the material to be passively multiplexed at video rate. With the application of bias field at three different temperatures, we have observed the field-induced Fréedericksz transition from SmI*A–SmC*A, antiferroelectric to ferroelectric, and ferroelectric to paraelectric transition. Such Fréedericksz transition point is decreased with the increase of temperature.

      • KCI등재

        Why Don’t Cancer Survivors Quit Smoking? An Evaluation of Readiness for Smoking Cessation in Cancer Survivors

        Melissa A. Little,Robert C. Klesges,Zoran Bursac,Jon O. Ebbert,Jennifer P. Halbert,Andrew N. Dunkle,Lauren Colvin,Patricia J. Goedecke,Benny Weksler 대한암예방학회 2018 Journal of cancer prevention Vol.23 No.1

        Background: Cancer survivors have a high rate of participation in cigarette-smoking cessation programs but their smoking-abstinence rates remain low. In the current study, we evaluated the readiness to quit smoking in a cancer-survivor population. Methods: Cross-sectional data survey conducted among 112 adult cancer survivors who smoked cigarettes in Tennessee. Analyses were conducted using a two-sample t-test, χ2 test, Fishers Exact test, and multivariable logistic regression with smoker’s readiness to quit as the dependent variable. We operationally defined a smoker not ready to quit as anyone interested in quitting smoking beyond the next 6 months or longer (or not at all), as compared to those that are ready to quit within the next 6 months. Results: Thirty-three percent of participants displayed a readiness to quit smoking in the next 30 days. Smokers ready to quit were more likely to display high confidence in their ability to quit (OR = 4.6; 95% CI, 2.1-9.7; P < 0.0001) than those not ready to quit. Those ready to quit were nearly five times more likely to believe smoking contributed to their cancer diagnosis (OR = 4.9; 95% CI, 1.1-22.6; P = 0.0432). Those ready to quit were also much more likely to attempt smoking cessation when diagnosed with cancer (OR = 8.9; 95% CI, 1.8-44.3; P = 0.0076) than smokers not ready to quit. Finally, those ready to quit were more likely to endorse smoking more in the morning than other times of the day, compared to those not ready to quit (OR = 7.9; 95% CI, 1.5-42,3; P = 0.0148), which increased odds of readiness to quit within the next 6 months. Conclusions: Despite high participation in smoking-cessation programs for cancer survivors, only one-third of participants were ready to quit. Future research is needed to develop programs targeting effective strategies promoting smoking cessation among cancer survivors who are both ready and not ready to quit smoking. (J Cancer Prev 2018;23:44-50)

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