The Government as Shareholder and Principal-Principal Conflicts in the Brazilian Electric Power Industry by Murialdo Loch, Jaison Caetano Silva, Giovana Bueno, Rosilene Marcon

“…Our main findings suggest that while a government stake in a firm’s ownership structure can provide a useful channel for the government to seek support and resources, in counterpoint, it can also create distortions and uncertainties, and exacerbate principal-principal conflicts. …”
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Transformation of trading patterns in global agricultural markets by V. V. Stroev, E. N. Smirnov

“…It is shown that geopolitical restrictions and climatic shocks are a key factor influencing global supply chains and changing patterns of international trade in agricultural raw materials and food. The uncertainties that have arisen make it difficult to adequately forecast global flows of agricultural exports and imports, while the current agricultural policies of countries around the world remain virtually unchanged. …”
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Influencing immunity: role of extracellular vesicles in tumor immune checkpoint dynamics by Ziyang Ye, Genpeng Li, Jianyong Lei

“…Despite the development of numerous immune checkpoint blockade (ICB) drugs in recent years, their broad application has been inhibited by uncertainties about their clinical efficacy. A thorough understanding of ICP regulation in the tumor microenvironment is essential for advancing the development of more effective and safer ICB therapies. …”
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Climate Smart Agriculture (CSA) for Sustainable Agriculture Nexus: A Tool for Transforming Food Systems by Turyasingura, Benson, Ayiga, Natal, Tumwesigye, Wycliffe, James, Philip Hegarty

“…Climate Smart Agriculture (CSA) is a global strategy for enhancing food productivity amidst climate change uncertainties in the 21st century. CSA improves farmers’ incomes, reduces greenhouse emissions, and farming systems become resilient to climate change. …”
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Assessing the Future ODYSEA Satellite Mission for the Estimation of Ocean Surface Currents, Wind Stress, Energy Fluxes, and the Mechanical Coupling Between the Ocean and the Atmosp... by Marco Larrañaga, Lionel Renault, Alexander Wineteer, Marcela Contreras, Brian K. Arbic, Mark A. Bourassa, Ernesto Rodriguez

“…Despite the improvement over the current measurements, the estimates of the coupling coefficients between surface currents and wind stress may still have large uncertainties due to the noise inherent in ODYSEA, and also due to measurement capabilities related to wind stress. …”
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Performance improvement of manipulator actuated by pneumatic artificial muscles based on synergetic control and social spider optimisation algorithm by Alaq F. Hasan, Hadeer A. Raheem, Rajaa Hussein

“…However, its performance can be limited by non-linear dynamics and uncertainties in the system. To overcome these limitations, this paper proposes a synergetic control strategy (SACT) to improve the performance of the SACT, a social spider optimisation algorithm (SSO) has been suggested for adjusting its parameters. …”
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CO2-philicity of crude oil constituents: A computational study by Lionel T. Fogang, Syed M.S. Hussain, Theis I. Solling

“…Leaving computational uncertainties aside, the repulsive interactions align with the experimental observation of minimal CO2 solubility at room temperatures. …”
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Contribution of Unresolved Sources to Diffuse Gamma-Ray Emission from the Galactic Plane by Jiayin He, Houdun Zeng, Yi Zhang, Qiang Yuan, Rui Zhang, Jun Li

“…When comparing our results to the measured diffuse gamma-ray emission, we demonstrate that for the outer Galactic region, the contributions from unresolved sources and those predicted by models are roughly consistent with the observations within the uncertainties. However, for the inner Galactic region, additional components are required to account for the observed data.…”
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Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation by Kenny A. Q. Caldas, Roberto S. Inoue, Marco H. Terra, Vitor Guizilini, Fabio Ramos

“…The proposed RKF approach reduces the degradation of the filter performance due to parametric uncertainties present in the system models. We present experimental results in comparison with standard and state-of-the-art sensor fusion techniques to show that our system is robust even in challenging conditions.…”
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Modelling the thermal evolution of extensional basins through lithosphere stretching factors: application to the NW part of the Pannonian Basin by E. Békési, J.-D. van Wees, J.-D. van Wees, K. Porkoláb, M. Hencz, M. Berkesi

“…We test the effect of variations in model input parameters on the resulting temperature estimates and discuss the uncertainties and limitations of the modelling technique. …”
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Leishmaniasis and Climate Change—Case Study: Argentina by Oscar Daniel Salomón, María Gabriela Quintana, Andrea Verónica Mastrángelo, María Soledad Fernández

“…Therefore, from the perspective of public health and state policy, and taking into account the current nonlinear increased velocity of climate change, we concluded that discussing the uncertainties of large-scale models will have lower impact than to develop-validate mitigation strategies to be operative at local level, and compatibles with sustainable development, conservation biodiversity, and respect for cultural diversity.…”
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Improvement in the prediction power of an astrocyte genome-scale metabolic model using multi-omic data by Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Andrea Angarita-Rodríguez, Nicolás Mendoza-Mejía, Nicolás Mendoza-Mejía, Janneth González, Jason Papin, Jason Papin, Jason Papin, Andrés Felipe Aristizábal, Andrés Pinzón

“…This independent approach, however, introduces uncertainties and inaccuracies.MethodsTo address these challenges, we applied a principal component analysis (PCA)-based approach to integrate transcriptome and proteome data. …”
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Information Assisted Dictionary Learning for fMRI Data Analysis by Manuel Morante, Yannis Kopsinis, Sergios Theodoridis, Athanassios Protopapas

“…Moreover, it can cope efficiently with uncertainties in the modeling of the hemodynamic response function. …”
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Fractional order slide mode droop control for simultaneous voltage and frequency regulation of AC microgrid by Mohamad Issa Ibraheem, Mehdi Edrisi, Hassan Haes Alhelou, Mehdi Gholipour

“…The sliding surface and FOSMC were designed to reject system uncertainties and organize the voltage and frequency. …”
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Improving ocean reanalyses of observationally sparse regions with transfer learning by Simon Lentz, Sebastian Brune, Christopher Kadow, Johanna Baehr

“…Abstract Oceanic subsurface observations are sparse and lead to large uncertainties in any model-based estimate. We investigate the applicability of transfer learning based neural networks to reconstruct North Atlantic temperatures in times with sparse observations. …”
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Disturbance-Observer-Based Fuzzy Control for a Robot Manipulator Using an EMG-Driven Neuromusculoskeletal Model by Longbin Zhang, Wen Qi, Yingbai Hu, Yue Chen

“…In the robot manipulator system, a fuzzy logic system, utilizing an integral Lyapunov function, was applied for robot manipulator systems subject to model uncertainties and external disturbances. To compensate for the external disturbances, fuzzy approximation errors, and nonlinear dynamics, a disturbance observer was integrated into the controller. …”
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Analysis, Filtering, and Control for Takagi-Sugeno Fuzzy Models in Networked Systems by Sunjie Zhang, Zidong Wang, Jun Hu, Jinling Liang, Fuad E. Alsaadi

“…The network-induced phenomena under consideration mainly include communication delays, packet dropouts, signal quantization, and randomly occurring uncertainties (ROUs). With such network-induced phenomena, the developments on T-S fuzzy control and filtering issues are reviewed in detail. …”
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Robust Optimum Design of Multiple Tuned Mass Dampers for Vibration Control in Buildings Subjected to Seismic Excitation by Luciara Silva Vellar, Sergio Pastor Ontiveros-Pérez, Letícia Fleck Fadel Miguel, Leandro Fleck Fadel Miguel

“…It is important to highlight that the proposed optimization methodology considers uncertainties present in the structural parameters, in the dynamic load, and also in the MTMD design with the aim of obtaining a robust design; that is, a MTMD design that is not sensitive to the variations of the parameters involved in the dynamic behavior of the structure. …”
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Error in the Sampling Area of an Optical Disdrometer: Consequences in Computing Rain Variables by R. Fraile, A. Castro, M. Fernández-Raga, C. Palencia, A. I. Calvo

“…The aim of this study is to improve the estimation of the characteristic uncertainties of optic disdrometers in an attempt to calculate the efficient sampling area according to the size of the drop and to study how this influences the computation of other parameters, taking into account that the real sampling area is always smaller than the nominal area. …”
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Output Feedback Fractional-Order Nonsingular Terminal Sliding Mode Control of Underwater Remotely Operated Vehicles by Yaoyao Wang, Jiawang Chen, Linyi Gu

“…For the 4-DOF (degrees of freedom) trajectory tracking control problem of underwater remotely operated vehicles (ROVs) in the presence of model uncertainties and external disturbances, a novel output feedback fractional-order nonsingular terminal sliding mode control (FO-NTSMC) technique is introduced in light of the equivalent output injection sliding mode observer (SMO) and TSMC principle and fractional calculus technology. …”
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