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1

Constantino, Thomas, and Isabelle Baraffe. "Significant uncertainties from calibrating overshooting with eclipsing binary systems." Astronomy & Astrophysics 618 (October 2018): A177. http://dx.doi.org/10.1051/0004-6361/201833568.

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The precise measurement of the masses and radii of stars in eclipsing binary systems provides a window into uncertain processes in stellar evolution, especially mixing at convective boundaries. Recently, these data have been used to calibrate models of convective overshooting in the cores of main sequence stars. In this study we have used a small representative sample of eclipsing binary stars with 1.25 ≤ M/M⊙ < 4.2 to test how precisely this method can constrain the overshooting and whether the data support a universal stellar mass–overshooting relation. We do not recover the previously re
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2

Pfannschmidt, Joachim. "Expanding the knowledge of oligometastatic disease—but uncertainties remain significant." Journal of Thoracic Disease 11, S15 (2019): S2008—S2011. http://dx.doi.org/10.21037/jtd.2019.06.39.

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3

Levine, Marc H., and Adrian P. Fitzsimons. "New AcSEC requirements for disclosure of certain significant risks and uncertainties." Journal of Corporate Accounting & Finance 6, no. 3 (1995): 109–20. http://dx.doi.org/10.1002/jcaf.3970060312.

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4

WEERASINGHE, SHANTHI YOSHITHA. "SIGNIFICANT FACTORS IN CALIBRATION FOR 60 CALIPERS: A EXPERIMENTAL DATA." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 02 (2024): 1–13. http://dx.doi.org/10.55041/ijsrem28642.

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Caliper calibration is essential for accurate dimensional measurements, especially in precision- driven industries. This research investigates the significant factors affecting the calibration of 60 calipers through experimental data analysis. The study systematically examines environmental conditions, instrument design, operator techniques, and technological advances as potential contributors to measurement uncertainties. The temperature variations explored reveal environmental factor fluctuations in caliper dimensions and their influence on subsequent measurement uncertainties. It was also o
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5

Wang, Y.-Y., H.-S. Lau, and Z.-S. Hua. "Three revenue-sharing variants: their significant performance differences under system-parameter uncertainties." Journal of the Operational Research Society 63, no. 12 (2012): 1752–64. http://dx.doi.org/10.1057/jors.2011.131.

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6

Breakwell, Glynis M., Julie Barnett, Rusi Jaspal, and Daniel B. Wright. "Psychological influences on COVID-19 preventive behaviours and vaccination engagement in the United Kingdom and the United States: the significance of ethnicity." Journal of the British Academy 11s5 (2023): 83–112. http://dx.doi.org/10.5871/jba/011s5.083.

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Uncertainties about COVID-19 vaccines and variants have been linked to vaccination refusal on a significant scale. To optimise public health communication on vaccination and inform vaccination policy, it is necessary to understand the substantive nature of these uncertainties. Our study, using a corpus of texts from 324 UK citizens, examines these uncertainties. The results suggest that major public uncertainties regarding COVID-19 vaccines are expressed in terms of: (1) concerns about the safety of the vaccines; (2) concerns about the effectiveness of the vaccines; (3) perceived lack of trust
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7

Skillman, Evan D. "Uncertainties in nebular helium abundances." Proceedings of the International Astronomical Union 5, S268 (2009): 113–18. http://dx.doi.org/10.1017/s1743921310003947.

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AbstractEfforts to determine the primordial helium abundance via observations of metal poor HII regions have been limited by significant uncertainties. Because of a degeneracy between the solutions for density and temperature, the precision of the helium abundance determinations is limited. Spectra from the literature are used to show the effects of new atomic data and to demonstrate the challenges of determining precise He abundances. Several suggestions are made for meeting these challenges.
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8

Krishtaleva, Taisiya. "Disclosure of Information on Business Continuity and Significant Uncertainties in Accounting (Financial) Statements." Auditor 10, no. 11 (2025): 32–37. https://doi.org/10.12737/1998-0701-2024-10-11-32-37.

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The article discusses the importance of disclosing information about business continuity in the reporting of business entities. Additional disclosures about significant uncertainties and business continuity will allow investors to better understand the business’s exposure to solvency and liquidity risks and management’s plans to overcome them.
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9

Kainiemi, Laura, Sanni Eloneva, and Mika Järvinen. "An assessment of the uncertainties related to bioenergy applications." Management of Environmental Quality: An International Journal 25, no. 3 (2014): 301–12. http://dx.doi.org/10.1108/meq-11-2013-0124.

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Purpose – The purpose of this paper is to identify the most significant uncertainties for bioenergy applications, in order to identify factors determining the success of introducing bioenergy into the current energy system. Design/methodology/approach – A framework is built for identifying the most significant uncertainties based on studies exploring the positive potentials as well as possible negative effects of bioenergy. The framework is applied to explore uncertainties of bioenergy-based transport fuels and heat and power generation through two real life case studies. Findings – The result
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10

Gerber, Brian D., and William L. Kendall. "Adaptive management of animal populations with significant unknowns and uncertainties: a case study." Ecological Applications 28, no. 5 (2018): 1325–41. http://dx.doi.org/10.1002/eap.1734.

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11

Yu, Z., C. S. Kochanek, B. M. Peterson, et al. "On reverberation mapping lag uncertainties." Monthly Notices of the Royal Astronomical Society 491, no. 4 (2019): 6045–64. http://dx.doi.org/10.1093/mnras/stz3464.

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ABSTRACT We broadly explore the effects of systematic errors on reverberation mapping lag uncertainty estimates from javelin and the interpolated cross-correlation function (ICCF) method. We focus on simulated light curves from random realizations of the light curves of five intensively monitored AGNs. Both methods generally work well even in the presence of systematic errors, although javelin generally provides better error estimates. Poorly estimated light-curve uncertainties have less effect on the ICCF method because, unlike javelin , it does not explicitly assume Gaussian statistics. Neit
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12

Nessim, M. A., H. P. Hong, and I. J. Jordaan. "Environmental Load Uncertainties for Offshore Structures." Journal of Offshore Mechanics and Arctic Engineering 117, no. 4 (1995): 245–51. http://dx.doi.org/10.1115/1.2827230.

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A methodology for assessing the effect of different sources of uncertainty on the calculation of load effect on offshore structures is presented. A consistent classification of uncertainties was adopted and used as a basis to develop models to estimate the effect of different uncertainties on specified design loads. It is shown that distribution parameter uncertainties arising from limitations on the quantity of statistical data are not likely to have a significant effect on design loads. By contrast, model uncertainties can greatly increase the design loads, and the increase is sensitive to t
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13

Raicu, Serban, Mihaela Popa, and Dorinela Costescu. "Uncertainties Influencing Transportation System Performances." Sustainability 14, no. 13 (2022): 7660. http://dx.doi.org/10.3390/su14137660.

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The design and operation of transportation systems, as with any large complex technical system, are marked by indetermination—risks and uncertainties (scientific/methodologic and/or socio-economic). This paper analyzes the occurrence and consequences of uncertainties, defined as completely unknown random events (“unknown unknowns”), on transportation system performances. Interest in the topic is justified by the considerable value and long life of transportation system components. In order to reduce the effects of uncertainties, a holistic approach to all technical infrastructures in society,
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14

Goudar, D. M., M. S. Hossain, Christopher E. Truman, Ed J. Kingston, and David John Smith. "Uncertainties in Triaxial Residual Stress Measurements." Materials Science Forum 681 (March 2011): 498–503. http://dx.doi.org/10.4028/www.scientific.net/msf.681.498.

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Residual stress measurement techniques using mechanical strain relaxation depend on a number of physical quantities and are therefore sensitive to errors associated with the measured data. The resulting stress uncertainties can easily become significant and compromise the usefulness of the results or lead to misinterpretation of the behaviour of the residual stress distributions. It is therefore essential to develop an error analysis procedure for the measurements undertaken. Error analysis procedures for the deep hole drilling (DHD) method are developed to consider triaxial residual stresses.
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15

Bayhaqi, Ahmad. "KETIDAKPASTIAN DALAM PEMODELAN PERUBAHAN IKLIM." OSEANA 44, no. 1 (2019): 38–53. http://dx.doi.org/10.14203/oseana.2019.vol.44no.1.30.

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THE UNCERTAINTIES IN CLIMATE CHANGE MODELING. Climate in the Earth has changed over the periods and will be estimated to give the a significant impact for environment in the future. Climate prediction using a simulation model, as a tool to predict the future climate and it requires the high quantitative skills and technology, has showed the significant improvement. However, the climate model depends on the input variable and the result may be inaccurate because its biases and uncertainties. Information of the uncertainties in the climate model can determine the modification in climate change m
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16

Ding, Yan, Yue Liu, and Pierre Failler. "The Impact of Uncertainties on Crude Oil Prices: Based on a Quantile-on-Quantile Method." Energies 15, no. 10 (2022): 3510. http://dx.doi.org/10.3390/en15103510.

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There has always been a complex relationship between uncertainty and crude oil prices. Three types of uncertainty, i.e., economic policy uncertainty, geopolitical risk uncertainty, and climate policy uncertainty (EPU, GPR, and CPU for short), have exacerbated abnormal fluctuations in the energy market, making crude oil prices volatile more and more frequently, especially from the perspective of the financial attribute of crude oil. Based on the time-series data related to uncertainties and crude oil prices from December 2001 to March 2021, this paper uses the quantile-on-quantile regression (Q
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17

Preisler, Haiganoush K., Karin L. Riley, Crystal S. Stonesifer, Dave E. Calkin, and W. Matthew Jolly. "Near-term probabilistic forecast of significant wildfire events for the Western United States." International Journal of Wildland Fire 25, no. 11 (2016): 1169. http://dx.doi.org/10.1071/wf16038.

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Fire danger and potential for large fires in the United States (US) is currently indicated via several forecasted qualitative indices. However, landscape-level quantitative forecasts of the probability of a large fire are currently lacking. In this study, we present a framework for forecasting large fire occurrence – an extreme value event – and evaluating measures of uncertainties that do not rely on distributional assumptions. The statistical model presented here incorporates qualitative fire danger indices along with other location and seasonal specific explanatory variables to produce maps
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18

Coleman, Hugh W., W. Glenn Steele, and Robert P. Taylor. "Implications of Correlated Bias Uncertainties in Single and Comparative Tests." Journal of Fluids Engineering 117, no. 4 (1995): 552–56. http://dx.doi.org/10.1115/1.2817300.

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The effects of correlated bias uncertainties are considered for both single and comparative tests, and the implications of these effects on experimental results and their uncertainties are investigated. In single tests, correlated bias uncertainties can cause a significant increase or a significant decrease in uncertainty in the result as compared to the uncertainty when there are no correlation effects. In comparative tests, the experimental result is the difference of two test results or the ratio of two test results. If the same test apparatus and instrumentation are used to obtain the two
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19

Bradley, Brendon A. "Epistemic Uncertainties in Component Fragility Functions." Earthquake Spectra 26, no. 1 (2010): 41–62. http://dx.doi.org/10.1193/1.3281681.

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This paper is concerned with the inclusion of epistemic uncertainties in component fragility functions used in performance-based earthquake engineering. Conventionally fragility functions, defining the probability of incurring at least a specified level of damage for a given level of seismic demand, are defined by a mean and standard deviation and assumed to have a lognormal distribution. However, there exist many uncertainties in the development of such fragility functions. The sources of epistemic uncertainty in fragility functions, their consideration, combination, and propagation are prese
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20

Bibi, Unsa, and Hafiza Safia Shaukat. "The Interaction Effect Crisis Communication on Emotional Exhaustion: A Study on the Banking Sector of Pakistan." International Journal of Management Thinking 1, no. 1 (2023): 20–40. http://dx.doi.org/10.56868/ijmt.v1i1.10.

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In this study the researcher wants to examine the impact of crisis communication on employee’s emotional exhaustion with mediating role of perceived uncertainties in the banking sector of Gujranwala district of Pakistan with the moderating impact of organizational intransigence, which may cause workers to rely less on official communication to alleviate those doubts. Moreover, this study analyses the impact of crisis communication on the perception of uncertainty based on uncertainty reduction theory. Furthermore, the moderating influence of social support in terms of perceived uncertainties o
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21

Adedokun, Adeniyi J., Olabusuyi R. Falayi, Francis O. Adeyemi, and Terver T. Kumeka. "Global Economic Uncertainties and Exchange Rate Management in Africa: A Panel Study." Acta Universitatis Sapientiae, Economics and Business 10, no. 1 (2022): 161–84. http://dx.doi.org/10.2478/auseb-2022-0010.

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Abstract This study investigates the effects of global economic uncertainties on exchange rate management in Africa from 1990 to 2021. Employing the quantile regression technique, findings show that both global and domestic economic uncertainties have significant influence on exchange rate management in Africa. The intensity of global economic uncertainty rises during the bearish and transitional markets, but dependence declines during the bullish markets. Moreover, the relationship between domestic uncertainty and African exchange rate management shows that the structure of dependence improve
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22

Jaspal, Rusi, and Glynis M. Breakwell. "Public uncertainties in relation to COVID-19 vaccines in the United Kingdom." Journal of the British Academy 11s5 (2023): 59–82. http://dx.doi.org/10.5871/jba/011s5.059.

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Uncertainties about COVID-19 vaccines and variants have been linked to vaccination refusal on a significant scale. To optimise public health communication on vaccination and inform vaccination policy, it is necessary to understand the substantive nature of these uncertainties. Our study, using a corpus of texts from 324 UK citizens, examines these uncertainties. The results suggest that major public uncertainties regarding COVID-19 vaccines are expressed in terms of: (1) concerns about the safety of the vaccines; (2) concerns about the effectiveness of the vaccines; (3) perceived lack of trust
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23

Li, Tuanjie, Hanqing Deng, Yaqiong Tang, Jie Jiang, and Xiaofei Ma. "Accuracy analysis and form-finding design of uncertain mesh reflectors based on interval force density method." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 11 (2016): 2163–73. http://dx.doi.org/10.1177/0954410016662061.

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Mesh reflectors are uncertain structures because of the existing errors of dimension and material in the procedure of design and manufacture. These uncertainties have significant impacts on the mechanical and electrical properties, which must be considered during the design phase. Three directly related factors of cable uncertainties in mesh reflectors are considered in this paper, including the initial length, cross-sectional area, and elastic modulus. The analytical relationship between the cable uncertainties and the surface accuracy of mesh reflectors is deduced by interval analysis, and a
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Murphy, Declan G., and Derya Tilki. "Getting the Balance Right—The Benefits and Uncertainties of Focal Therapy for Significant Prostate Cancer." European Urology 74, no. 4 (2018): 430–31. http://dx.doi.org/10.1016/j.eururo.2018.06.035.

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25

Walz, Nico-Philipp, and Michael Hanss. "Fuzzy Arithmetical Analysis of Multibody Systems with Uncertainties." Archive of Mechanical Engineering 60, no. 1 (2013): 109–25. http://dx.doi.org/10.2478/meceng-2013-0007.

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The consideration of uncertainties in numerical simulation is generally reasonable and is often indicated in order to provide reliable results, and thus is gaining attraction in various fields of simulation technology. However, in multibody system analysis uncertainties have only been accounted for quite sporadically compared to other areas. The term uncertainties is frequently associated with those of random nature, i.e. aleatory uncertainties, which are successfully handled by the use of probability theory. Actually, a considerable proportion of uncertainties incorporated into dynamical syst
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Le Menn, M. "About uncertainties in practical salinity calculations." Ocean Science Discussions 6, no. 3 (2009): 2461–85. http://dx.doi.org/10.5194/osd-6-2461-2009.

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Abstract. Salinity is a quantity computed, in the actual state of the art, from conductivity ratio measurements, knowing temperature and pressure at the time of the measurement and using the Practical Salinity Scale algorithm of 1978 (PSS-78) which gives practical salinity values S. The uncertainty expected on PSS-78 values is ±0.002, but nothing has ever been detailed about the method to work out this uncertainty, and the sources of errors to include in this calculation. Following a guide edited by the Bureau International des Poids et Mesures (BIPM), this paper assess, by two independent met
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Ball, M. R., C. McEwan, D. R. Novog, and J. C. Luxat. "The Dilution Dependency of Multigroup Uncertainties." Science and Technology of Nuclear Installations 2014 (2014): 1–14. http://dx.doi.org/10.1155/2014/306406.

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The propagation of nuclear data uncertainties through reactor physics calculation has received attention through the Organization for Economic Cooperation and Development—Nuclear Energy Agency’s Uncertainty Analysis in Modelling (UAM) benchmark. A common strategy for performing lattice physics uncertainty analysis involves starting with nuclear data and covariance matrix which is typically available at infinite dilution. To describe the uncertainty of all multigroup physics parameters—including those at finite dilution—additional calculations must be performed that relate uncertainties in an i
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28

Fu, Cuiwei, Xiaogang Qin, and Yu Wang. "Effects of Parameter Uncertainties on Interaction between Submarine Telecommunication Cables and Lateral Seabed Movements." Advances in Civil Engineering 2020 (August 20, 2020): 1–13. http://dx.doi.org/10.1155/2020/8824391.

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Submarine telecommunication cables are the physical backbone of the Internet. They are often buried shallowly beneath seabed and affected by seabed movements. Due to the long distance of cables and the complexity of submarine environment, interaction between cables and seabed movements inevitably involves various parameter uncertainties. However, effects of parameter uncertainties on submarine cable responses to seabed movements have not been fully investigated. This paper aims to address this problem using random finite element method (RFEM) that integrates finite element (FE) analysis with M
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Ma, Hai Yi, Shu Ping Yi, Guo Cheng Ren, and Xue Ling Hu. "Analysis of Uncertainties Affecting Numerical Transport Models for a Potential Radioactive Waste Disposal Site." Advanced Materials Research 955-959 (June 2014): 1607–14. http://dx.doi.org/10.4028/www.scientific.net/amr.955-959.1607.

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Numerical models have been commonly used to study solute transport behaviours both in laboratory-and field-scale cases. However, numerical interpretation and predictions of solute transport are complicated by various uncertainties and therefore can be misleading and lead to incorrect understanding of solute transport behaviours in hydrogeological systems. Such uncertainties have been discussed with a case study of radionuclides transport at a potential site for disposal of Low-and Intermediate-Level radioactive Wastes (LILW) in southern China. Firstly, pre-modelling assumptions cause uncertain
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Korayem, M. H., M. Taherifar, and H. Tourajizadeh. "Compensating the flexibility uncertainties of a cable suspended robot using SMC approach." Robotica 33, no. 3 (2014): 578–98. http://dx.doi.org/10.1017/s0263574714000472.

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SUMMARYA sliding mode controller is designed to compensate for the flexibility uncertainties of a cable robot and improve its tracking performance. Of the most significant sources of these uncertainties are the elasticity of the cables and the flexibility of the joints. A favorable approach to improve the accuracy of the system is first to model the cable and joint flexibilities and then convert the model uncertainties into parametric uncertainties. Parametric uncertainties are the product of imprecise flexibility coefficients and are finally neutralized by a sliding mode controller. The flexi
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31

Wang, Yuan, Xiangming Zheng, Hongda Li, and Xiaoran Li. "An internal model control-cascade Proportion-Integration-Differentiation method for manipulation of nano-quad-rotors." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 233, no. 8 (2019): 2948–55. http://dx.doi.org/10.1177/0954410018824928.

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Nowadays, manipulation of quad-rotors faces complexity in controller parameter tuning process and system instability under uncertainties. Internal model control is featured with less controller parameters, simpler tuning process than conventional methods, good robustness and perfect capability in rejection of uncertainties. All its merits can be applied in the field of nano-quad-rotor control since its internal model is easy to be obtained and the suffered uncertainties, especially persistent ones such as model uncertainties and winds, can be rejected by the algorithm effectively. In this pape
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32

Afifi, M. Fiyan, and Werner Ria Murhadi. "Analysis of Factors Affecting Business Performance: Empirical Study of Hospitals in East Java." Journal of Entrepreneurship & Business 4, no. 1 (2023): 24–31. http://dx.doi.org/10.24123/jeb.v4i1.5362.

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Purpose: Hospitalization in Indonesia continued to increase by 5.2% per year in 2018, with the most significant number of hospitals in Indonesia being in the province of East Java. However, Indonesia is the most important contributor to overseas medical visits. Total expenses reach IDR 161 trillion/year (US$ 11.5 billion/year), and 80% of visits are to Malaysia, where every year, million Indonesian citizens (WNI) seek treatment abroad. Of this amount, the total costs incurred reached IDR 97 trillion. This becomes a question, what triggers Indonesian citizens to seek treatment abroad? This stud
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Wu, Yonghui, Rongchen Zheng, Liqiang Ma, and Xiujuan Feng. "Uncertainty Quantification in Rate Transient Analysis of Multi-Fractured Tight Gas Wells Exhibiting Gas–Water Two-Phase Flow." Water 16, no. 19 (2024): 2744. http://dx.doi.org/10.3390/w16192744.

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The production performances of fractured tight gas wells are closely related to several complex and unknown factors, including the formation properties, fracture parameters, gas–water two-phase flow, and other nonlinear flow mechanisms. The rate transient analysis (RTA) results have significant uncertainties, which should be quantified to evaluate the formation and fracturing treatment better. This paper provides an efficient method for uncertainty quantification in the RTA of fractured tight gas wells with multiple unknown factors incorporated. The theoretical model for making forward predict
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34

Nie, Qing, Xin L. Brown, Baohui Liu, and Maruf Morshed. "Uncertainties, Employment and the Zero Lower Bound." International Journal of Energy Economics and Policy 14, no. 4 (2024): 305–16. http://dx.doi.org/10.32479/ijeep.15752.

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The purpose of this paper is to study the response of aggregate and sectoral employment in the United States to shocks and uncertainties in the oil and macro markets. To estimate the actual dataset, we employ a VAR model with 12 variables using U.S. data during 1986Q1-2021Q4. With alternative oil and macroeconomic uncertainties and different monetary authorities, we find that employment is significantly affected by both types of uncertainty when zero lower bound (ZLB) binds. Total employment and oil-related industries employment show a significant increase in the presence of the ZLB and the pr
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35

Le Menn, M. "About uncertainties in practical salinity calculations." Ocean Science 7, no. 5 (2011): 651–59. http://dx.doi.org/10.5194/os-7-651-2011.

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Abstract. In the current state of the art, salinity is a quantity computed from conductivity ratio measurements, with temperature and pressure known at the time of the measurement, and using the Practical Salinity Scale algorithm of 1978 (PSS-78). This calculation gives practical salinity values S. The uncertainty expected in PSS-78 values is ±0.002, but no details have ever been given on the method used to work out this uncertainty, and the error sources to include in this calculation. Following a guide published by the Bureau International des Poids et Mesures (BIPM), using two independent m
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36

Kumar, Dilip. "Nexus Between Travel & Leisure Stocks and Uncertainties: An Extreme Risk Spillover Analysis." American Business Review 26, no. 1 (2023): 245–68. http://dx.doi.org/10.37625/abr.26.1.245-268.

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The paper examines the presence of risk spillover to the US travel & leisure industry from the extreme changes in the uncertainties. More specifically, using a time-varying copula based conditional Value-at-Risk (CoVaR) framework, we evaluate the dynamic impact of the uncertainties on the extreme risk of the US travel & leisure industry by taking into consideration the uncertainty in economic policy, equity market conditions, and crude oil prices. The findings indicate a significant dynamic inverse relationship between the returns of travel & leisure industry and changes in uncerta
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37

Hassel, Thomas, Volker Mintzlaff, Joachim Stahlmann, Klaus-Jürgen Röhlig, and Anne Eckhardt. "Workshop Safety and Uncertainty." Safety of Nuclear Waste Disposal 1 (November 10, 2021): 309–10. http://dx.doi.org/10.5194/sand-1-309-2021.

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Abstract. Uncertainties have a significant influence on the assessment and evaluation of the safety of a repository system for high-level radioactive waste. Significant reasons for uncertainties concerning the safety barriers of a repository are: Conducting experiments on the long-term behaviour of the repository in real time is impossible due to the long assessment period over which the repository is supposed to ensure safety. The extrapolation of results from time-limited experiments, e.g. on the corrosion of container materials, to other temporal dimensions is associated with uncertainties.
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38

Bei, N., G. Li, and L. T. Molina. "Uncertainties in SOA simulations due to meteorological uncertainties in Mexico City during MILAGRO-2006 field campaign." Atmospheric Chemistry and Physics Discussions 12, no. 7 (2012): 16293–326. http://dx.doi.org/10.5194/acpd-12-16293-2012.

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Abstract. The purpose of the present study is to investigate the uncertainties in simulating secondary organic aerosol (SOA) in Mexico City metropolitan area (MCMA) due to meteorological initial uncertainties using the WRF-CHEM model through ensemble simulations. The simulated periods (24 and 29 March 2006) represent two typical meteorological episodes ("Convection-South" and "Convection-North", respectively) in the Mexico City basin during the MILAGRO-2006 field campaign. The organic aerosols are simulated using a non-traditional SOA model including the volatility basis-set modeling method an
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Bei, N., G. Li, and L. T. Molina. "Uncertainties in SOA simulations due to meteorological uncertainties in Mexico City during MILAGRO-2006 field campaign." Atmospheric Chemistry and Physics 12, no. 23 (2012): 11295–308. http://dx.doi.org/10.5194/acp-12-11295-2012.

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Abstract. The purpose of the present study is to investigate the uncertainties in simulating secondary organic aerosol (SOA) in Mexico City metropolitan area (MCMA) due to meteorological initial uncertainties using the WRF-CHEM model through ensemble simulations. The simulated periods (24 and 29 March 2006) represent two typical meteorological episodes ("Convection-South" and "Convection-North", respectively) in the Mexico City basin during the MILAGRO-2006 field campaign. The organic aerosols are simulated using a non-traditional SOA model including the volatility basis-set modeling method an
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40

Enevold Thaulov Andersen, Jens, and Mercy Menong. "Uncertainty of Routine pH Measurements Evaluated by the Principle of Pooled Calibrations." IJCA (Indonesian Journal of Chemical Analysis) 8, no. 1 (2025): 18–30. https://doi.org/10.20885/ijca.vol8.iss1.art2.

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In the digital age, taking logarithms of data is no longer necessary when assessing pH measurement uncertainties. The focus is now on using raw, unaltered data. Routine pH measurements often differ from those in reference labs, so quantifying these differences is necessary. The uncertainties of pH values at 25°C were evaluated using mass-by-mass calculations, along with comparisons between two pH meters. Four buffer systems and several beverage samples were tested. Expanded uncertainties (U) of up to U = 0.36 were observed for pH values between 2 and 11, significantly higher than those reporte
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Heinemann, Stephan G., Jens Pomoell, Ronald M. Caplan, et al. "Quantifying Uncertainties in Solar Wind Forecasting due to Incomplete Solar Magnetic Field Information." Astrophysical Journal 986, no. 2 (2025): 166. https://doi.org/10.3847/1538-4357/adcf9e.

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Abstract Solar wind forecasting plays a crucial role in space weather prediction, yet significant uncertainties persist duet to incomplete magnetic field observations of the Sun. Isolating the solar wind forecasting errors due to these effects is difficult. This study investigates the uncertainties in solar wind models arising from these limitations. We simulate magnetic field maps with known uncertainties, including far-side and polar field variations, as well as resolution and sensitivity limitations. These maps serve as input for three solar wind models: the Wang–Sheeley–Arge, the Heliosphe
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Pereira, Caroline Ribeiro, Luiz Alberto da Silva Abreu, Diego Campos Knupp, Lucas Correia da Silva Jardim, and Matheus Henrique da Silva Siqueira. "Analysis under Uncertainty with the Monte Carlo Method Applied to a Bioheat Transfer Problem with Coupled Deep Brain Stimulation Lead." Defect and Diffusion Forum 427 (July 14, 2023): 37–46. http://dx.doi.org/10.4028/p-b6ix0e.

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This article deals with an analysis of uncertainties applied to a bioheat transfer problem containing a deep brain stimulation lead. The classic two-dimensional bioheat transfer equation in cylindrical coordinates was considered in the mathematical formulation. The electric potential was solved with a Laplace equation to incorporate the DBS lead effects. Thus, the solution for the electric potential was coupled to the temperature problem, considering an external heat transfer rate. The analysis under uncertainties was performed by the Monte Carlo method considering different types of uncertain
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Ahmad, Masood, and Rosmiwati Mohd-Mokhtar. "Design of H-/H∞ based fault detection filter for linear uncertain systems using linear matrix inequalities." IAES International Journal of Robotics and Automation (IJRA) 14, no. 2 (2025): 214. https://doi.org/10.11591/ijra.v14i2.pp214-226.

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One of the significant challenges in model-based fault detection is achieving robustness against disturbances and model uncertainties while ensuring sensitivity to faults. This study proposes an optimized approach for designing fault detection filters for discrete-time linear systems with norm-bounded model uncertainties. The design leverages the H-/H∞ optimization framework and is expressed through linear matrix inequality constraints. The filter is designed to produce a residual signal that balances two opposing objectives: minimizing the impact of disturbances and model uncertainties while
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Shafiei, Behrooz, Mohsen Ekramian, and Khoshnam Shojaei. "Robust Tension Control of Strip for 5-Stand Tandem Cold Mills." Journal of Engineering 2014 (2014): 1–13. http://dx.doi.org/10.1155/2014/409014.

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Tandem cold rolling process is a nonlinear complex system with external and internal uncertainties and significant disturbances. The improvement in the quality of the final output depends on the control strategy of centerline thickness and interstand tension. This paper focuses on interstand tension control problem in 5-stand tandem cold rolling mills. Tension dynamics can be described by a nominal model perturbed by parametric uncertainties. In order to overcome the model uncertainties and external disturbances, suboptimalH∞andμcontrollers are proposed and the Hankel-norm approximation is use
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Zhu, Jianyun, and Li Chen. "Stochastic Optimization of Onboard Photovoltaic Hybrid Power System Considering Environmental Uncertainties." Journal of Marine Science and Engineering 12, no. 8 (2024): 1240. http://dx.doi.org/10.3390/jmse12081240.

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Environmental uncertainties present a significant challenge in the design of onboard photovoltaic hybrid power systems (PV-HPS), a pivotal decarbonization technology garnering widespread attention in the shipping industry. Neglecting environmental uncertainties associated with photovoltaic (PV) output and hull resistance can lead to suboptimal solutions. To address this issue, this paper proposes a stochastic optimization method for PV-HPS, aiming to minimize greenhouse gas (GHG) emissions and lifecycle costs. Copula functions are employed to establish joint distributions of uncertainties in s
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Santos, Thiago, June Fernandes, and Luciana Reis. "Managing Uncertainties During the Development Process of Technological Innovation Projects: Lean Startup Contributions." European Conference on Innovation and Entrepreneurship 18, no. 2 (2023): 1011–20. http://dx.doi.org/10.34190/ecie.18.2.1509.

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During the development of technological innovation projects, the team has difficulty to identify and managing uncertainties, which represents a challenge to bring the technologies closer to the market. Although there are studies on the management of uncertainties in innovation projects in different contexts of organizations, no studies were found relating to the adoption of Lean Startup (LS) practices and the management of uncertainties during the development of technological project processes in academic environments. Thus, this research aims to identify the uncertainties that can be mitigate
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Pan, X. P. "Systematic biases and uncertainties of Hipparcos parallax." Proceedings of the International Astronomical Union 3, S248 (2007): 78–81. http://dx.doi.org/10.1017/s1743921308018668.

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AbstractGround-based optical/IR interferometers have provided strong support to the space-based astrometric mission Hipparcos ever since the Hipparcos instrument was in operation in 1989. Interferometric observations also produced critical corrections of orbital motion to many targets, including radio stars, which link the Hipparcos system to the International Celestial Reference Frame (ICRF). In particular, orbital parallax from interferometers confirmed the 10% bias of the Pleiades distance from Hipparcos, and thus avoids revision of classical astronomy. Significant offsets and errors of Hip
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Han, Seunghee, Jooyong Jun, and Eunjung Yeo. "In Pursuit of Sustainable Mobile Policy: A Study of Consumer Tariff Preferences under Uncertainty." Sustainability 13, no. 2 (2021): 540. http://dx.doi.org/10.3390/su13020540.

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Literature suggests that consumers expect disutility not only from payment uncertainties but also from reference uncertainties embedded in mobile plans. This paper develops a model of mobile plan choice incorporating both reference and payment uncertainties and uses this model to derive testable implications. The paper argues that consumer choice reflects those uncertainties more than could be justified by rational choice theory. Such patterns, the paper hypothesizes, would be more salient in the choice of data plan than voice plan because consumers tend to perceive data usage to be less contr
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Bei, N., W. Lei, M. Zavala, and L. T. Molina. "Ozone predictabilities due to meteorological uncertainties in Mexico City basin using ensemble forecasts." Atmospheric Chemistry and Physics Discussions 10, no. 2 (2010): 3229–63. http://dx.doi.org/10.5194/acpd-10-3229-2010.

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Abstract. The purpose of the present study is to investigate the sensitivity of ozone concentration ([O3]) predictions in Mexico City to meteorological initial uncertainties and planetary boundary layer (PBL) parameterization schemes using state-of-the-art meteorological and photochemical prediction models through ensemble forecasts. The simulated periods (3, 9, 15, and 29 March 2006), represent four typical meteorological episodes ("South-Venting", "O3-North", "O3-South" and "Convection-North", respectively) in the Mexico City basin during the MCMA-2006/MILAGRO campaign. Our results demonstra
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Han, Seunghee, Jooyong Jun, and Eunjung Yeo. "In Pursuit of Sustainable Mobile Policy: A Study of Consumer Tariff Preferences under Uncertainty." Sustainability 13, no. 2 (2021): 540. http://dx.doi.org/10.3390/su13020540.

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Literature suggests that consumers expect disutility not only from payment uncertainties but also from reference uncertainties embedded in mobile plans. This paper develops a model of mobile plan choice incorporating both reference and payment uncertainties and uses this model to derive testable implications. The paper argues that consumer choice reflects those uncertainties more than could be justified by rational choice theory. Such patterns, the paper hypothesizes, would be more salient in the choice of data plan than voice plan because consumers tend to perceive data usage to be less contr
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