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111.
Jillian Knox Kirstie Ruppert Beatrice Frank Carly C. Sponarski Jenny Anne Glikman 《Ambio》2021,50(2):301
The terms ‘coexistence’, ‘tolerance,’ and ‘acceptance’ appear frequently in conservation literature, but lack consistent characterization, making them difficult to apply across intervention frameworks. This review aims to describe the common characterizations of these three terms using Africa-based research as a case study. Through systematic lexical searches, we identified 392 papers containing one or more of the three terms. We assessed their usage, definition, and measurement (or lack thereof) in wildlife conservation. Coexistence was used in 46% of papers, but was defined in only 2% and measured in 4%. Tolerance and acceptance were used in 63% and 61% of the papers in which they appeared, respectively, defined in 4% and 2%, and measured in 19% and 5%. These results confirm the lack of clear understanding of these concepts and evidence the need for a precise lexicon. This would allow conservationists to cohesively describe their work and increase replicability of research across contexts.Electronic supplementary materialThe online version of this article (10.1007/s13280-020-01352-6) contains supplementary material, which is available to authorized users. 相似文献
112.
关于人机系统安全分析中人的因素的一些探讨 总被引:1,自引:0,他引:1
王泽申 《中国安全科学学报》1997,7(2):26-30
在对人机系统安全分析中,重点对人的因素进行探讨,并提出了新的见解。在人机系统中,人的生理特性和心理特性不是恒定不变的,特别在人机系统安全分析与设计时,关于人的因素必须从动态特性变化来认识 相似文献
113.
《Process Safety and Environmental Protection》2014,92(6):789-795
Human errors during operation and the resulting increase in operational risk are major concerns for nuclear reactors, just as they are for all industries. Additionally, human reliability analysis together with probabilistic risk analysis is a key element in reducing operational risk. The purpose of this paper is to analyze human reliability using appropriate methods for the probabilistic representation and calculation of human error to be used alongside probabilistic risk analysis in order to reduce the operational risk of the reactor operation. We present a technique for human error rate prediction and standardized plant analysis risk. Human reliability methods have been utilized to quantify different categories of human errors, which have been applied extensively to nuclear power plants. The Tehran research reactor is selected here as a case study, and after consultation with reactor operators and engineers human errors have been identified and adequate performance shaping factors assigned in order to calculate accurate probabilities of human failure. 相似文献
114.
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116.
Heidelore Fiedler Mohammad Sadia Thomas Krauss Abeer Baabish Leo W.Y. Yeung 《Frontiers of Environmental Science & Engineering》2022,16(10):132
117.
Ambient particles vary greatly in their ability to affect visibility, climate and human health. The fine fraction of aerosol
is responsible for greater and wider effects on human health; thus, investigation of this fraction is very important. Continuous
measurements of PM2.5 (particulate matter below 2.5 μm in size) concentrations at the Preila monitoring station started in
2003. During a period of 2 years, the episodes of high daily and semi-hourly concentrations of PM2.5 were measured. These
episodes did not depend on the season or time of day. The substantial role of long-range transport of pollutants to these
increases in concentration was shown using chemical and statistical analysis. It was found that most of the severe episodes
occurred when air masses came from a specific site besides it was established that air masses of different origin were characterized
by different mixing layer depth. Lower mixing depth was observed in air masses characterized by higher observed concentrations
at the measuring site and vice versa. PM2.5 concentrations showed diurnal and seasonal variations whose pattern reflected
the regional origin of the aerosol. The regional pollution level was evaluated by the statistical analysis of PM2.5 concentrations.
The background annual average of PM2.5 mass concentration for the eastern coast of the Baltic Sea was 15.1 ± 0.8 μg m−3. 相似文献
118.
Guiling?L.?ZhangEmail author Jing?Zhang Jie?Xu Jingling?L.?Ren Sumei?M.?Liu 《Water, Air, & Soil Pollution: Focus》2007,7(6):645-654
CH4 concentrations in both the surface and bottom waters of Jiaozhou Bay were determined during four surveys in 2003, which showed
variability with both seasons and tidal cycles. Atmospheric fluxes of CH4 in Jiaozhou Bay showed obvious seasonal and spatial variations, with the highest values occurring in summer and the lowest
in winter. The annual emission of CH4 from Jiaozhou Bay was estimated to be . CH4 in the water column of Jiaozhou Bay was found to come from several land-sources including riverine water input, sewage water
input and groundwater input. The spatial and temporal variation in distributions and atmospheric fluxes of CH4 in Jiaozhou Bay was influenced mainly by the input of polluted river waters and the sewage effluents along the eastern coast,
which highlights the effects of human impacts on CH4 emission rates. 相似文献
119.
Linda Nebiolo Mehmet Ozturk Bruno Brambati Susan Miller Jack Wands Aubrey Milunsky MD 《黑龙江环境通报》1990,10(9):575-581
The aim of this study was to determine the efficacy of combined maternal serum alpha-fetoprotein (MSAFP) and maternal serum human chorionic gonadotropin (MShCG) screening in detecting chromosome defects in the first trimester of pregnancy. Sera of 492 women (previously assayed for MSAFP) were analysed for MShCG under code without knowledge of cytogenetic results. Overall, 48 of 492 patients (9·8 per cent) had either an MSAFP multiple of the median ⩽0·5 or an MShCG β/a z ratio multiple of the median ⩽ 0·25, eight of whom had a fetus with a serious chromosome defect. A third of fetuses with Down' s syndrome and 83 per cent with trisomy 18 were detected at a potential‘cost’ of providing chorionic villus sampling or amniocentesis in 8·6 percent of women screened. 相似文献
120.
Chloe B. Wardropper Ashley A. Dayer Madeline S. Goebel Victoria Y. Martin 《Conservation biology》2021,35(5):1650-1658
The coronavirus (COVID-19) pandemic is affecting the environment and conservation research in fundamental ways. Many conservation social scientists are now administering survey questionnaires online, but they must do so while ensuring rigor in data collection. Further, they must address a suite of unique challenges, such as the increasing use of mobile devices by participants and avoiding bots or other survey fraud. We reviewed recent literature on online survey methods to examine the state of the field related to online data collection and dissemination. We illustrate the review with examples of key methodological decisions made during a recent national study of people who feed wild birds, in which survey respondents were recruited through an online panel and a sample generated via a project participant list. Conducting surveys online affords new opportunities for participant recruitment, design, and pilot testing. For instance, online survey panels can provide quick access to large and diverse samples of people. Based on the literature review and our own experiences, we suggest that to ensure high-quality online surveys one should account for potential sampling and nonresponse error, design survey instruments for use on multiple devices, test the instrument, and use multiple protocols to identify data quality problems. We also suggest that research funders, journal editors, and policy makers can all play a role in ensuring high-quality survey data are used to inform effective conservation programs and policies. 相似文献