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Journal articles on the topic 'Sensitivity indices, given data, first order indices'

Author: Grafiati

Published: 9 March 2023

Last updated: 31 July 2025

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1

Gru, Guillaume, Jean-François Girard, Philippe Ackerer, and Nolwenn Lesparre. "Global sensitivity analysis of a hydrogeophysical model coupling groundwater infiltration process and Surface Nuclear Magnetic Resonance." ARPHA Conference Abstracts 8 (May 28, 2025): e151705. https://doi.org/10.3897/aca.8.e151705.

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1: Introduction Water resources in mountainous areas are of major importance for local ecosystems as well as for human activities. Therefore, it is crucial to monitor the availability of these resources and to be able to predict their evolution accurately in the context of climate change. Hydrologic modeling is a useful tool to achieve this goal. To do so, the models need to be properly parameterized. Geophysical sounding techniques are very useful tools to provide information for the model calibration process. This work focuses on the Surface Nuclear Magnetic Resonance (SNMR) sounding techniq

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Melese, Abdisa Shiferaw, Oluwole Daniel Makinde, and Legesse Lemecha Obsu. "Mathematical modelling and analysis of coffee berry disease dynamics on a coffee farm." Mathematical Biosciences and Engineering 19, no. 7 (2022): 7349–73. http://dx.doi.org/10.3934/mbe.2022347.

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<abstract><p>This paper focuses on a mathematical model for coffee berry disease infestation dynamics. This model considers coffee berry and vector populations with the interaction of fungal pathogens. In order to gain an insight into the global dynamics of coffee berry disease transmission and eradication on any given coffee farm, the assumption of logistic growth with a carrying capacity reflects the fact that the amount of coffee plants depends on the limited size of the coffee farm. First, we show that all solutions of the chosen model are bounded and non-negative with positive

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Younes, Anis, Jabran Zaouali, François Lehmann, and Marwan Fahs. "Sensitivity and identifiability of hydraulic and geophysical parameters from streaming potential signals in unsaturated porous media." Hydrology and Earth System Sciences 22, no. 7 (2018): 3561–74. http://dx.doi.org/10.5194/hess-22-3561-2018.

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Abstract. Fluid flow in a charged porous medium generates electric potentials called streaming potential (SP). The SP signal is related to both hydraulic and electrical properties of the soil. In this work, global sensitivity analysis (GSA) and parameter estimation procedures are performed to assess the influence of hydraulic and geophysical parameters on the SP signals and to investigate the identifiability of these parameters from SP measurements. Both procedures are applied to a synthetic column experiment involving a falling head infiltration phase followed by a drainage phase. GSA is used

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Liu, Xing, Enrico Zio, Emanuele Borgonovo, and Elmar Plischke. "A Systematic Approach of Global Sensitivity Analysis and Its Application to a Model for the Quantification of Resilience of Interconnected Critical Infrastructures." Energies 17, no. 8 (2024): 1823. http://dx.doi.org/10.3390/en17081823.

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We consider a model for the resilience analysis of interconnected critical infrastructures (ICIs) that describes the dependencies among the subsystems within the ICIs and their time-varying behavior. The model response is a function of uncertain inputs comprising ICIs design parameters and failure magnitudes of vulnerable elements in the system, etc. In this methodological paper, we present a systematic approach based on an innovative blend of methods to perform a sensitivity analysis for identifying the most relevant variables affecting the system resilience at different stages, during a disr

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Van Niekerk, Elna, and Luke Sandham. "Visual interpretation of ASTER satellite data, Part 1: Geologic mapping in the Cradle of Humankind World Heritage Site." Suid-Afrikaanse Tydskrif vir Natuurwetenskap en Tegnologie 26, no. 3 (2007): 177–95. http://dx.doi.org/10.4102/satnt.v26i3.132.

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Since the first earth observing satellite was launched in 1972, remote sensing has become a powerful tool in the arsenal of geoscientists. This satellite became known as Landsat 1 and carried the Multispectral Scanner (MSS) delivering imagery at a spatial resolution of 80, and spectral resolution from blue to near infrared. Ongoing satellite and sensor development to the end of the century produced the Landsat Thematic Mapper (TM) with improved spatial and spectral resolution, as well as the SPOT series of satellites delivering the highest spatial but limited spectral resolution. These develop

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Kala, Zdeněk. "Global Sensitivity Analysis of Structural Reliability Using Cliff Delta." Mathematics 12, no. 13 (2024): 2129. http://dx.doi.org/10.3390/math12132129.

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This paper introduces innovative sensitivity indices based on Cliff’s Delta for the global sensitivity analysis of structural reliability. These indices build on the Sobol’ method, using binary outcomes (success or failure), but avoid the need to calculate failure probability Pf and the associated distributional assumptions of resistance R and load F. Cliff’s Delta, originally used for ordinal data, evaluates the dominance of resistance over load without specific assumptions. The mathematical formulations for computing Cliff’s Delta between R and F quantify structural reliability by assessing

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Rodríguez-Guisado, Esteban, Antonio Ángel Serrano-de la Torre, Eroteida Sánchez-García, Marta Domínguez-Alonso, and Ernesto Rodríguez-Camino. "Development of an empirical model for seasonal forecasting over the Mediterranean." Advances in Science and Research 16 (August 26, 2019): 191–99. http://dx.doi.org/10.5194/asr-16-191-2019.

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Abstract. In the frame of MEDSCOPE project, which mainly aims at improving predictability on seasonal timescales over the Mediterranean area, a seasonal forecast empirical model making use of new predictors based on a collection of targeted sensitivity experiments is being developed. Here, a first version of the model is presented. This version is based on multiple linear regression, using global climate indices (mainly global teleconnection patterns and indices based on sea surface temperatures, as well as sea-ice and snow cover) as predictors. The model is implemented in a way that allows ea

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Jafari, Marzieh, and Khaled Akbari. "Global sensitivity analysis approaches applied to parameter selection for numerical model-updating of structures." Engineering Computations 36, no. 4 (2019): 1282–304. http://dx.doi.org/10.1108/ec-08-2018-0336.

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Purpose This paper aims to measure the sensitivity of the structure’s deformation numerical model (NM) related to the various types of the design parameters, which is a suitable method for parameter selection to increase the time of model-updating. Design/methodology/approach In this research, a variance-based sensitivity analysis (VBSA) approach is proposed to measure the sensitivity of NM of structures. In this way, the contribution of measurements of the structure (such as design parameter values and geometry) on the output of NM is studied using first-order and total-order sensitivity indi

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Balcázar-Villarroel, Mario, Angélica Mancilla-Uribe, Sandra Navia-León, Florencia Carmine, Katherine Birditt, and Cristian Sandoval. "Diagnostic Performance of Red Blood Cell Indices in the Differential Diagnosis of Iron Deficiency Anemia and the Thalassemia Trait in Chile: A Retrospective Study." Diagnostics 14, no. 21 (2024): 2353. http://dx.doi.org/10.3390/diagnostics14212353.

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Background: Iron deficiency anemia (IDA) and the β-thalassemia trait (BTT) are two main causes of hypochromic–microcytic anemia worldwide. Researchers have described many red blood cell (RBC) indices as screening tests for presumptive differentiation, based on differences observed in complete blood count (CBC) data for each condition. There are few BTT reports in Chile, and neither laboratories nor clinical staff have widely used these indices. Objective: The objective of this study was to evaluate the diagnostic performance of 29 RBC indices in 182 patients (51 BTT and 131 IDA) and compare CB

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Kanwal, S., M. K. Siddiqui, E. Bonyah, T. S. Shaikh, I. Irshad, and S. Khalid. "Ordering Acyclic Connected Structures of Trees Having Greatest Degree-Based Invariants." Complexity 2022 (March 16, 2022): 1–16. http://dx.doi.org/10.1155/2022/3769831.

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Being building block of data sciences, link prediction plays a vital role in revealing the hidden mechanisms that lead the networking dynamics. Since many techniques depending in vertex similarity and edge features were put forward to rule out many well-known link prediction challenges, many problems are still there just because of unique formulation characteristics of sparse networks. In this study, we applied some graph transformations and several inequalities to determine the greatest value of first and second Zagreb invariant, S K and S K 1 invariants, for acyclic connected structures of g

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Bürger, G., T. Q. Murdock, A. T. Werner, S. R. Sobie, and A. J. Cannon. "Downscaling Extremes—An Intercomparison of Multiple Statistical Methods for Present Climate." Journal of Climate 25, no. 12 (2012): 4366–88. http://dx.doi.org/10.1175/jcli-d-11-00408.1.

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Abstract Five statistical downscaling methods [automated regression-based statistical downscaling (ASD), bias correction spatial disaggregation (BCSD), quantile regression neural networks (QRNN), TreeGen (TG), and expanded downscaling (XDS)] are compared with respect to representing climatic extremes. The tests are conducted at six stations from the coastal, mountainous, and taiga region of British Columbia, Canada, whose climatic extremes are measured using the 27 Climate Indices of Extremes (ClimDEX; http://www.climdex.org/climdex/index.action) indices. All methods are calibrated from data p

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Li, Xinlong, Junli Tan, Hong Li, Lili Wang, Guoli Niu, and Xina Wang. "Sensitivity Analysis of the WOFOST Crop Model Parameters Using the EFAST Method and Verification of Its Adaptability in the Yellow River Irrigation Area, Northwest China." Agronomy 13, no. 9 (2023): 2294. http://dx.doi.org/10.3390/agronomy13092294.

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Sensitivity analysis, calibration, and verification of crop model parameters improve crop model efficiency and accuracy, facilitating its application. This study selected five sites within the Ningxia Yellow River Irrigation Area. Using meteorological data, soil data, and field management information, the EFAST (Extended Fourier Amplitude Sensitivity Test) method was used to conduct first-order and global sensitivity analyses of spring wheat parameters in the WOFOST (World Food Studies Simulation) Model. A Structural Equation Model (SEM) analyzed the contribution of crop parameters to differen

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Upadhyaya, Shruti, and R. Ramsankaran. "Multi-Index Rain Detection: A New Approach for Regional Rain Area Detection from Remotely Sensed Data." Journal of Hydrometeorology 15, no. 6 (2014): 2314–30. http://dx.doi.org/10.1175/jhm-d-14-0006.1.

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Abstract In this article, a new approach called Multi-Index Rain Detection (MIRD) is suggested for regional rain area detection and was tested for India using Kalpana-1 satellite data. The approach was developed based on the following hypothesis: better results should be obtained for combined indices than an individual index. Different combinations (scenarios) were developed by combining six commonly used rain detection indices using AND and OR logical connectives. For the study region, an optimal rain area detection scenario and optimal threshold values of the indices were found through a sta

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Razmyan, S., and F. Hosseinzadeh Lotfi. "An Application of Monte-Carlo-Based Sensitivity Analysis on the Overlap in Discriminant Analysis." Journal of Applied Mathematics 2012 (2012): 1–14. http://dx.doi.org/10.1155/2012/315868.

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Discriminant analysis (DA) is used for the measurement of estimates of a discriminant function by minimizing their group misclassifications to predict group membership of newly sampled data. A major source of misclassification in DA is due to the overlapping of groups. The uncertainty in the input variables and model parameters needs to be properly characterized in decision making. This study combines DEA-DA with a sensitivity analysis approach to an assessment of the influence of banks’ variables on the overall variance in overlap in a DA in order to determine which variables are most signifi

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Del Corso, Giulio, Roberto Verzicco, and Francesco Viola. "Sensitivity analysis of an electrophysiology model for the left ventricle." Journal of The Royal Society Interface 17, no. 171 (2020): 20200532. http://dx.doi.org/10.1098/rsif.2020.0532.

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Modelling the cardiac electrophysiology entails dealing with the uncertainties related to the input parameters such as the heart geometry and the electrical conductivities of the tissues, thus calling for an uncertainty quantification (UQ) of the results. Since the chambers of the heart have different shapes and tissues, in order to make the problem affordable, here we focus on the left ventricle with the aim of identifying which of the uncertain inputs mostly affect its electrophysiology. In a first phase, the uncertainty of the input parameters is evaluated using data available from the lite

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Schmitz, Kai. "LISA Sensitivity to Gravitational Waves from Sound Waves." Symmetry 12, no. 9 (2020): 1477. http://dx.doi.org/10.3390/sym12091477.

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Gravitational waves (GWs) produced by sound waves in the primordial plasma during a strong first-order phase transition in the early Universe are going to be a main target of the upcoming Laser Interferometer Space Antenna (LISA) experiment. In this short note, I draw a global picture of LISA’s expected sensitivity to this type of GW signal, based on the concept of peak-integrated sensitivity curves (PISCs) recently introduced in two previous papers. In particular, I use LISA’s PISC to perform a systematic comparison of several thousands of benchmark points in ten different particle physics mo

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Adebe, Kebede Lulu, Senahara Korsa Wake, Sagni Daraje Yadata, et al. "Understanding correlates of infant mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data." Annals of Medicine & Surgery 85, no. 5 (2023): 1796–801. http://dx.doi.org/10.1097/ms9.0000000000000629.

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Background: Infant mortality is one of the most sensitive and commonly used indicators of the social and economic development of a nation. Ethiopia is among the African countries with high infant mortality rates. This study aimed to understand and identify correlates of infant mortality in Ethiopia. Methods: The data, used in this study, were drawn from 2019 Ethiopian Demographic and Health Survey data. The multivariable Cox proportional hazard analysis was done to identify the correlates of infant mortality. Results: Infant mortality rate was high in the earlier age of months. Males, higher b

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Sadenova, Marzhan, Sergey Khrapov, and Nail Beysekenov. "Mathematical Modeling of Crop Yield Forecast Based on Field Monitoring and Remote Sensing Data." Mathematical Physics and Computer Simulation, no. 3 (October 2023): 56–75. http://dx.doi.org/10.15688/mpcm.jvolsu.2023.3.5.

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A mathematical model for forecasting crop yields based on field monitoring data and remote sensing of the Earth has been constructed. The model includes the following main values: vegetation indices NDVI, total solar radiation flux at the lower boundary of the atmosphere, efficiency of using photosynthetically active solar radiation, biomass respiration costs. After the parameterization of the mathematical model using observational data, the number of uncertain (calibration) coefficients of the model decreases from 8 to 2. These coefficients are determined by the method of successive approxima

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Wang, Shubin, Yukun Tian, Xiaogang Deng, Qianlei Cao, Lei Wang, and Pengxiang Sun. "Disturbance Detection of a Power Transmission System Based on the Enhanced Canonical Variate Analysis Method." Machines 9, no. 11 (2021): 272. http://dx.doi.org/10.3390/machines9110272.

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Aiming at the characteristics of dynamic correlation, periodic oscillation, and weak disturbance symptom of power transmission system data, this paper proposes an enhanced canonical variate analysis (CVA) method, called SLCVAkNN, for monitoring the disturbances of power transmission systems. In the proposed method, CVA is first used to extract the dynamic features by analyzing the data correlation and establish a statistical model with two monitoring statistics T2 and Q. Then, in order to handling the periodic oscillation of power data, the two statistics are reconstructed in phase space, and

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Li, Lingcheng, Gautam Bisht, and L. Ruby Leung. "Spatial heterogeneity effects on land surface modeling of water and energy partitioning." Geoscientific Model Development 15, no. 14 (2022): 5489–510. http://dx.doi.org/10.5194/gmd-15-5489-2022.

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Abstract. Understanding the influence of land surface heterogeneity on surface water and energy fluxes is crucial for modeling earth system variability and change. This study investigates the effects of four dominant heterogeneity sources on land surface modeling, including atmospheric forcing (ATM), soil properties (SOIL), land use and land cover (LULC), and topography (TOPO). Our analysis focused on their impacts on the partitioning of precipitation (P) into evapotranspiration (ET) and runoff (R), partitioning of net radiation into sensible heat and latent heat, and corresponding water and e

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Himes, Morgan, Preshanth Jagannathan, Dale A. Frail, et al. "Fermi Unassociated Sources in the MeerKAT Absorption Line Survey." Astrophysical Journal 980, no. 1 (2025): 81. https://doi.org/10.3847/1538-4357/ada1cf.

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Abstract Over 2000 γ-ray sources identified by the Large Area Telescope on NASA's Fermi Gamma-ray Space Telescope are considered unassociated, meaning that they have no known counterparts in any other frequency regime. We have carried out an image-based search for steep spectrum radio sources, with in-band spectral index < −1.4, within the error regions of Fermi unassociated sources using 1–1.4 GHz radio data from the MeerKAT Absorption Line Survey (MALS) data release. The first MALS data release with a median rms noise of 22–25 μJy and 735,649 sources is a significant advance over past ima

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Kütük, Hasan, Azize Canel, and Ahmet Şirin. "A New Concept in Psychology: Development of the Ecopsychological Sensitivity Scale and Examination of Its Psychometric Properties." Türk Psikolojik Danışma ve Rehberlik Dergisi 15, no. 76 (2025): 62–73. https://doi.org/10.17066/tpdrd.1455456.

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The main purpose of this study is to develop the Ecopsychological Sensitivity Scale (ESS) and analyse its psychometric properties. The data for the study was collected in four different stages. A total of 1070 individuals participated in the study. For the first stage, exploratory factor analysis (EFA), data was collected from a total of 416 people: 270 women and 146 men (Mage=31.51; SD=10.11). For the second stage, confirmatory factor analysis (CFA), data was collected from a total of 499 participants: 321 women and 178 men (Mage=27.59; SD=10.77). In the third stage, in order to test criterio

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Feng, Ziheng, Haiyan Zhang, Jianzhao Duan, et al. "Improved Spectral Detection of Nitrogen Deficiency and Yellow Mosaic Disease Stresses in Wheat Using a Soil Effect Removal Algorithm and Machine Learning." Remote Sensing 15, no. 10 (2023): 2513. http://dx.doi.org/10.3390/rs15102513.

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Wheat yellow mosaic disease is a low-temperature and soil-borne disease. Crop infection by the yellow mosaic virus can lead to severe yield and economic losses. It is easily confused with nitrogen deficiency based on the plant’s morphological characteristics. Timely disease detection and crop management in the field require the precise identification of crop stress types. However, the detection of crop stress is often underappreciated. Wheat nitrogen deficiency and yellow mosaic disease were investigated in the field and wheat physiological and biochemical experiments were conducted to collect

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Aman Alah Khani Ghashghaee, Sara, Hojatollah Javidi, and Hossein Baghooli. "Modeling Anxiety Sensitivity Based on Early Maladaptive Schemas and Cognitive Emotion Regulation Strategies with the Mediating Role of Parenting Styles." Journal of Adolescent and Youth Psychological Studies 5, no. 6 (2024): 30–40. http://dx.doi.org/10.61838/kman.jayps.5.6.4.

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Objective: Although most young individuals transition from adolescence successfully and without encountering significant issues, there can be challenges and obstacles during this period that prevent the full utilization of one's abilities and potential. The present study aimed to model anxiety sensitivity based on early maladaptive schemas and cognitive emotion regulation strategies with the mediating role of parenting styles. Methods and Materials: This research is of a correlational type. The sample included 100 mothers of first-grade students from the city of Shiraz during the 2018-2019 aca

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Wang, Yan, and Pingyu Jiang. "Fluctuation evaluation and identification model for small-batch multistage machining processes of complex aircraft parts." Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 231, no. 10 (2015): 1820–37. http://dx.doi.org/10.1177/0954405415612371.

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The key to improve the machining quality of workpiece is to decrease the process fluctuation, which requires identifying the fluctuation sources first. For small-batch multistage machining processes of complex aircraft parts, how to identify the fluctuation sources efficiently has become a difficult issue due to the limited shop-floor data and the complicated interactive effects among different stages. Aiming at this issue, a fluctuation evaluation and identification model for small-batch multistage machining process is proposed based on the sensitivity analysis theory. In order to improve the

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Burdon, R. D. "Early selection in tree breeding: principles for applying index selection and inferring input parameters." Canadian Journal of Forest Research 19, no. 4 (1989): 499–504. http://dx.doi.org/10.1139/x89-076.

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Early selection is essential after the first generation of a tree-breeding programme. Two main issues that it raises are (i) the optimal age for selection for the next generation and (ii) how best to use early assessment data for the selection. Attention is given mainly to the latter issue. Early selection is considered as a special type of indirect selection that can embrace multiple traits. Where a sequence of early measurements has been made for single traits it is possible to treat the expressions of a trait at different dates as separate traits in a selection index. Constructing a least-s

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Saxton, Harry, Daniel J. Taylor, Grace Faulkner, et al. "The impact of experimental designs & system sloppiness on the personalisation process: A cardiovascular perspective." PLOS One 20, no. 6 (2025): e0326112. https://doi.org/10.1371/journal.pone.0326112.

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To employ a reduced-order cardiovascular model as a digital twin for personalised medicine, it is essential to understand how uncertainties in the model’s input parameters affect its outputs. The aim is to identify a set of input parameters that can serve as clinical biomarkers, providing insight into a patient’s physiological state. Given the challenge of finding useful clinical data, careful consideration must be given to the experimental design used to acquire patient-specific input parameters. Model sloppiness—where numerous parameter combinations have minimal impact on model predictions,

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González-Rossano, Carlos, Antonia Terán-Bustamante, Marisol Velázquez-Salazar, and Antonieta Martínez-Velasco. "What Drives Profit Income in Mexico’s Main Banks? Evidence Using Machine Learning." Sustainability 15, no. 7 (2023): 5696. http://dx.doi.org/10.3390/su15075696.

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Historically, the banking system has been critical to the development of economies by addressing funds efficiently—from customer savings and investors to the productive activities of people and companies, financing consumer goods and current expenses, housing, infrastructure projects and providing liquidity to the market. However, it must be transformed to respond to emerging demands in society for better financial products and services with a positive impact on living conditions and well-being. To achieve this, banks must create economic value—that is to say, banks should create profits in a

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Shilov, A. A., N. A. Kochergin, V. I. Ganyukov, et al. "Comparability of scintigraphy data with coronary angiography after surgical myocardial revascularization." Regional blood circulation and microcirculation 18, no. 3 (2019): 23–28. http://dx.doi.org/10.24884/1682-6655-2019-18-3-23-28.

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Introduction. Radionuclide imaging is included in diagnostic methods after PCI and CABG in patients with symptoms, but the recommendations caution against routine testing in all asymptomatic patients after revascularization. The paper shows the results of single-photon emission computed tomography after hybrid coronary myocardial revascularization; an analysis of the sensitivity and specificity of three methods of surgical myocardial revascularization was carried out in 12 months.Aim of the study was to determine the sensitivity and specificity of SPECT in determining coronary artery stenosis

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Kaddech, Nabil, Noomen Guelmami, Tore Bonsaksen, Radhouene Doggui, Chiraz Beji, and Jalila El Ati. "Adaptation and Psychometric Evidence of the ARABIC Version of the Diabetes Self-Management Questionnaire (A-DSMQ)." Healthcare 10, no. 5 (2022): 951. http://dx.doi.org/10.3390/healthcare10050951.

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(1) Background: Diabetic patients must engage in self-care practices in order to maintain optimal glycemic control, hence reducing the likelihood of developing complications, and enhance the overall quality of their lives. The Diabetes Self-care Management Questionnaire (DSMQ) is a tool for assessing self-management habits that may be used to predict glycemic control in people with diabetes. However, no Arabic language version of the instrument has been found. Therefore, we adapted an Arabic language version of the instrument in Tunisia. The purpose of the current research aimed to assess the

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Liu, Zuojun, Cheng Xiao, Tieling Zhang, and Xu Zhang. "Research on Fault Detection for Three Types of Wind Turbine Subsystems Using Machine Learning." Energies 13, no. 2 (2020): 460. http://dx.doi.org/10.3390/en13020460.

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In wind power generation, one aim of wind turbine control is to maintain it in a safe operational status while achieving cost-effective operation. The purpose of this paper is to investigate new techniques for wind turbine fault detection based on supervisory control and data acquisition (SCADA) system data in order to avoid unscheduled shutdowns. The proposed method starts with analyzing and determining the fault indicators corresponding to a failure mode. Three main system failures including generator failure, converter failure and pitch system failure are studied. First, the indicators data

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Pickup, David I., Robert M. Bernard, Eugene Borokhovski, Anne C. Wade, and Rana M. Tamim. "Systematically Searching Empirical Literature in the Social Sciences: Results from Two Meta-Analyses Within the Domain of Education." Российский психологический журнал 15, no. 4 (2019): 245–65. http://dx.doi.org/10.21702/rpj.2018.4.10.

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Introduction. This paper provides an overview of the information retrieval strategy employed for two meta-analyses, conducted by a systematic review team at Concordia University (Montreal, QC, Canada). Both papers draw on standards first articulated by H.M. Cooper and further developed by the Campbell Collaboration, which promote a comprehensive approach to systematically searching an extensive array of resources (bibliographic databases, print resources, citation indices, etc.) in order to locate both published and unpublished research. The goal is to verify if searching comprehensively throu

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Bhardwaj, Utkarsh, Angelo Palos Teixeira, and C. Guedes Soares. "Probabilistic Collapse Design and Safety Assessment of Sandwich Pipelines." Journal of Marine Science and Engineering 10, no. 10 (2022): 1435. http://dx.doi.org/10.3390/jmse10101435.

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This paper presents an approach for probabilistic design and safety assessment of sandwich pipelines under external pressure. The methodology consists of the categorisation of sandwich pipeline collapse strength models based on interlayer adhesion conditions. The models are validated by comparing their predictions against collapse test data of sandwich pipelines. The accuracy of the strength models and their prediction uncertainty are used to select the best model in each category. Regarding interlayer adhesion categories, uncertainty propagation of models’ predictions over a wide range is ass

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Fealy, Rowan, and John Sweeney. "Statistical downscaling of temperature, radiation and potential evapotranspiration to produce a multiple GCM ensemble mean for a selection of sites in Ireland." Irish Geography 41, no. 1 (2014): 1–27. http://dx.doi.org/10.55650/igj.2008.107.

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Irish climate is experiencing changes which have been found to be consistent with those occurring at a global scale. Consequently there is now growing confidence that these changes are largely attributable to global warming. Based on the data from four long-term monitoring, synoptic stations, between 1890 and 2004, mean annual temperatures in Ireland rose by 0.7°C. In the absence of strict emissions controls, a doubling of global atmospheric concentrations of CO2 is likely by the end of the twenty-first century. As a consequence, global temperatures are projected to increase by between 1.8°C a

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Granero-Belinchon, Carlos, Aurelie Michel, Jean-Pierre Lagouarde, Jose A. Sobrino, and Xavier Briottet. "Night Thermal Unmixing for the Study of Microscale Surface Urban Heat Islands with TRISHNA-Like Data." Remote Sensing 11, no. 12 (2019): 1449. http://dx.doi.org/10.3390/rs11121449.

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Urban Heat Islands (UHIs) at the surface and canopy levels are major issues in urban planification and development. For this reason, the comprehension and quantification of the influence that the different land-uses/land-covers have on UHIs is of particular importance. In order to perform a detailed thermal characterisation of the city, measures covering the whole scenario (city and surroundings) and with a recurrent revisit are needed. In addition, a resolution of tens of meters is needed to characterise the urban heterogeneities. Spaceborne remote sensing meets the first and the second requi

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Arrayago, Itsaso, Hao Zhang, and Kim J.R. Rasmussen. "Simplified expressions for reliability assessments in code calibration." Engineering Structures 256 (April 1, 2022): 114013. https://doi.org/10.1016/j.engstruct.2022.114013.

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First Order Reliability Methods (FORM) have been used by specification committees in the reliability analyses required for the calibration of resistance and safety factors for the past 40 years. However, these methods are iterative, require input information that may not be readily available, and make comparisons between different approaches or design frameworks difficult. This paper presents a set of simplified equations to estimate reliability indices , resistance factors and partial safety factors based on simpler First Order Second Moment (FOSM) considerations for the US and Eurocode 

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Robinson, Marci M. "New quantitative evidence of extreme warmth in the Pliocene Arctic." Stratigraphy 6, no. 4 (2009): 265–75. http://dx.doi.org/10.29041/strat.06.4.01.

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The most recent geologic interval characterized by warm temperatures similar to those projected for the end of this century occurred about 3.3 to 3.0 Ma, during the mid-Piacenzian Age of the Pliocene Epoch. Climate reconstructions of this warm period are integral to both understanding past warm climate equilibria and to predicting responses to today’s transient climate. The Arctic Ocean is of particular interest because in this region climate proxies are rare, and climate models struggle to predict climate sensitivity and the response of sea ice. In order to provide the first quantitative clim

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Benatti, Alexandre, Ana C. M. Brito, Diego R. Amancio, and Luciano da F Costa. "Quantifying the hierarchical adherence of modular documents." Journal of Physics: Complexity 4, no. 4 (2023): 045008. http://dx.doi.org/10.1088/2632-072x/ad0a9b.

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Abstract Several natural and artificial structures are characterized by an intrinsic hierarchical organization. The present work describes a methodology for quantifying the degree of adherence between a given hierarchical template and a respective modular document (e.g. books or homepages with content organized into modules) organized as a respective content network. The original document, which in the case of the present work concerns Wikipedia pages, is transformed into a respective content network by first dividing the document into parts or modules. Then, the contents (words) of each pair

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Likhvantseva, V. G., V. N. Trubilin, E. V. Korosteleva, S. G. Kapkova, and V. A. Vygodin. "Features of Visual Dysfunctions in Patients with Primary Hypothyroidism and Thyrotoxicosis." Ophthalmology in Russia 19, no. 3 (2022): 584–93. http://dx.doi.org/10.18008/1816-5095-2022-3-584-593.

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Purpose: to study the prevalence and nature of visual dysfunctions in patients with primary hypothyroidism and thyrotoxicosis.Material and methods. The material for this study was the results of a survey of 54 patients (108 eyes) with thyroid dysfunctions: 32 people (64 eyes) with primary untreated hypothyroidism and 22 people (44 eyes) with primary untreated thyrotoxicosis. Static automated perimetry and dedicated shortwave infrared (blue-yellow) perimetry were performed. The average total value of the photosensitivity of each (n = 74) tested point of the field of view was analyzed, the topog

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Ouédraogo, Gathenya, and Raude. "Projecting Wet Season Rainfall Extremes Using Regional Climate Models Ensemble and the Advanced Delta Change Model: Impact on the Streamflow Peaks in Mkurumudzi Catchment, Kenya." Hydrology 6, no. 3 (2019): 76. http://dx.doi.org/10.3390/hydrology6030076.

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Each year, many African countries experience natural hazards such as floods and, because of their low adaptative capabilities, they hardly have the means to face the consequences, and therefore suffer huge economic losses. Extreme rainfall plays a key role in the occurrence of these hazards. Therefore, climate projection studies should focus more on extremes in order to provide a wider range of future scenarios of extremes which can aid policy decision making in African societies. Some researchers have attempted to analyze climate extremes through indices reflecting extremes in climate variabl

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Towner, A. P. M., C. L. Brogan, T. R. Hunter, and C. J. Cyganowski. "VLA Observations of Nine Extended Green Objects in the Milky Way: Ubiquitous Weak, Compact Continuum Emission, and Multi-epoch Emission from Methanol, Water, and Ammonia Masers." Astrophysical Journal 923, no. 2 (2021): 263. http://dx.doi.org/10.3847/1538-4357/ac2c86.

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Abstract We have observed a sample of nine Extended Green Objects (EGOs) at 1.3 and 5 cm with the Very Large Array (VLA) with subarcsecond resolution and ∼7–14 μJy beam−1-sensitivities in order to characterize centimeter continuum emission as it first appears in these massive protoclusters. We find an EGO-associated continu um emission—within 1″ of the extended 4.5 μm emission—in every field, which is typically faint (order 101–102 μJy) and compact (unresolved at 0″.3–0″.5). The derived spectral indices of our 36 total detections are consistent with a wide array of physical processes, includin

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Bitsch, Florian, Philipp Berger, Arne Nagels, Irina Falkenberg, and Benjamin Straube. "S142. NOVEL CONCEPTS OF SOCIAL IMPAIRMENTS IN SCHIZOPHRENIA." Schizophrenia Bulletin 46, Supplement_1 (2020): S90. http://dx.doi.org/10.1093/schbul/sbaa031.208.

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Abstract Background Social deficits are a well-known phenotype of schizophrenia, which strongly influence the clinical progress of patients. A core substrate of these dysfunctions are altered Theory of Mind (ToM) processes which critically shape social interactions and can impress in an exaggerated and atrophied form in the disorder. Although there is a well-established link between clinical outcome measures and ToM deficits, less evidence exists about the neural and behavioral mechanisms underlying a specific core function responsible for forming interpersonal mental representations, which in

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Besier, T., M. Pillhofer, S. Botzenhart, et al. "Child Abuse and Neglect: Screening for Risks During the Perinatal Period." Geburtshilfe und Frauenheilkunde 72, no. 05 (2012): 397–402. http://dx.doi.org/10.1055/s-0031-1298442.

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Purpose: Currently, there is a claim for earlier interventions for families in order to prevent child maltreatment. Here, a screening instrument to assess risk indicators for child abuse and neglect already in the context of maternity clinics is introduced. The present study is the first report on the psychometric properties of this instrument, the “short questionnaire for risk indices around birth” (RIAB). Material and Methods: Data were collected in the context of three different studies conducted at Ulm University Hospital. To examine interrater reliability eight case vignettes were rated b

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Traver, José Emilio, Cristina Nuevo-Gallardo, Inés Tejado, et al. "Cardiovascular Circulatory System and Left Carotid Model: A Fractional Approach to Disease Modeling." Fractal and Fractional 6, no. 2 (2022): 64. http://dx.doi.org/10.3390/fractalfract6020064.

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Cardiovascular diseases (CVDs) remain the leading cause of death worldwide, according to recent reports from the World Health Organization (WHO). This fact encourages research into the cardiovascular system (CVS) from multiple and different points of view than those given by the medical perspective, highlighting among them the computational and mathematical models that involve experiments much simpler and less expensive to be performed in comparison with in vivo or in vitro heart experiments. However, the CVS is a complex system that needs multidisciplinary knowledge to describe its dynamic mo

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Cheng, Geng, Zao Li, Shuting Xia, Mingfei Gao, Maosheng Ye, and Tingting Shi. "Research on the Spatial Sequence of Building Facades in Huizhou Regional Traditional Villages." Buildings 13, no. 1 (2023): 174. http://dx.doi.org/10.3390/buildings13010174.

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Under the influences of the regional environment, building communities within traditional villages exhibit regional styles and features. Based on the research team’s early studies, and given the protection and renewal practices of Huizhou traditional villages in Southern Anhui Province, China, this study investigated the spatial sequences of building facades and explicated the laws of these spatial sequences. This research involved a series of technical steps. First, in the case selection stage, typical traditional villages and spatial sequence paths were established. Second, in the data acqui

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Shukla, Karunesh K., Rahul Nigam, Ajanta Birah, et al. "Detection of Aphid-Infested Mustard Crop Using Ground Spectroscopy." Remote Sensing 16, no. 1 (2023): 47. http://dx.doi.org/10.3390/rs16010047.

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Timely detection of pest infestation in agricultural crops plays a pivotal role in the planning and execution of pest management interventions. In this study, a ground measured electromagnetic spectrum through hyperspectral sensing (400–2500 nm) was conducted in healthy and aphid-infested mustard crops in different regions of the Bharatpur district of Rajasthan state, India. The ground measured hyperspectral reflectance and its derivatives during the mustard aphid infestation period were used to identify the sensitive spectral regions in the electromagnetic spectrum concerning Aphid Infestatio

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Tikunov, Vladimir, and Tamara Vatlina. "Environmental assessment of the territories on the example of municipalities of the Smolensk region." InterCarto. InterGIS 27, no. 4 (2021): 175–83. http://dx.doi.org/10.35595/2414-9179-2021-4-27-175-183.

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The article discusses approaches to assessing the health status of children on the example of a model research region—the Smolensk region. A description of the data set for an 18-year observation period is given in order to identify territorial differences in the incidence rates of ecologically caused diseases. When assessing the health of the population at the regional level, first of all, it is necessary to select a population group, formalize and standardize the base of parameters characterizing health, and also apply such data processing methods that will allow unambiguous interpretation o

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Yoshihara, Masaaki, Kuniaki Bandoh, and Anthony Marmarou. "Cerebrovascular carbon dioxide reactivity assessed by intracranial pressure dynamics in severely head injured patients." Journal of Neurosurgery 82, no. 3 (1995): 386–93. http://dx.doi.org/10.3171/jns.1995.82.3.0386.

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✓ Appropriate management of intracranial pressure (ICP) in severely head injured patients depends in part on the cerebral vessel reactivity to PCO2; loss of CO2 reactivity has been associated with poor outcome. This study describes a new method for evaluating vascular reactivity in head-injured patients by determining the sensitivity of ICP change to alterations in PCO2. This method was combined with measurements of the pressure volume index (PVI), which allowed calculation of blood volume change necessary to alter ICP. The objective of this study was to investigate the ICP response and the bl

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Naderzadeh, Mahdiyeh, Hossein Arabalibeik, Mohammad Reza Monazzam, and Ismaeil Ghasemi. "Comparative Analysis of AHP-TOPSIS and Fuzzy AHP Models in Selecting Appropriate Nanocomposites for Environmental Noise Barrier Applications." Fluctuation and Noise Letters 16, no. 04 (2017): 1750038. http://dx.doi.org/10.1142/s0219477517500389.

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Choosing the right material in the design of environmental noise barriers has always been a challenging issue in acoustics. In less-developed countries, the material selection is affected by many factors from various aspects, which makes the decision-making very complicated. This study attempts to compare and assign weights to the most important indices affecting the choice of appropriate noise barrier material. These criteria include absorption coefficient, transparency, tensile modulus, strength at yield, elongation at break, impact strength, flexural modulus, hardness, and cost. For this pu

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Heckmann, T., K. Gegg, A. Gegg, and M. Becht. "Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows." Natural Hazards and Earth System Sciences 14, no. 2 (2014): 259–78. http://dx.doi.org/10.5194/nhess-14-259-2014.

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Abstract. Predictive spatial modelling is an important task in natural hazard assessment and regionalisation of geomorphic processes or landforms. Logistic regression is a multivariate statistical approach frequently used in predictive modelling; it can be conducted stepwise in order to select from a number of candidate independent variables those that lead to the best model. In our case study on a debris flow susceptibility model, we investigate the sensitivity of model selection and quality to different sample sizes in light of the following problem: on the one hand, a sample has to be large

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