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Metabolic balance in colorectal cancer is maintained by optimal Wnt signaling levels
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Optimal Reactive Power Dispatch Planning Considering Voltage Deviation Minimization in Power Systems
Published 2025-06-01“…Transmission lines in electrical power systems are studied and analyzed to improve the electrical system’s safety, stability, and optimal operation. Past research has proposed various optimization methods to address the problem of active and reactive power; however, they do not consider the voltage at the nodes, which causes losses in the system. …”
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Seismic Risk Assessment of Optimally Designed Highway Bridge Isolated by Ordinary Unbounded Elastomeric Bearings
Published 2021-07-01“…To further investigate its benefits, the current study is focused on the seismic risk assessment of an optimally designed highway bridge isolated by SREB system. …”
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Tailored knowledge distillation with automated loss function learning.
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ACGNet: An Alternating Conjugate Gradient Optimization-Based Neural Network for SAR Image Despeckling
Published 2025-01-01“…To better preserve the texture details of the image, an edge correction function is designed, incorporating edge correction terms and regularization terms into the traditional mean squared error loss function, thereby effectively improving the performance of the denoising results in edge regions. …”
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Optimal Assembly Position and Multi-objective Trajectory Optimization for Dual Robotic Arms Collaboration
Published 2024-01-01“…Firstly, the motion constraint relationship in the coordinated assembly process of double robotic arms is analyzed, the operability degree is used as the flexibility evaluation index, the operability evaluation method of dual robotic arms collaborative assembly system is proposed, the optimization objective function is constructed, and the particle swarm algorithm is used to find the assembly position with the optimal global operability degree of the system in the collaborative space of double robotic arms. …”
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A Neutrosophic Multi-Objective Optimization Framework for Sustainable Design of Water Supply Systems
Published 2025-05-01“…Through the application of MMN, optimal solutions are identified that not only minimize costs and losses but also maximize efficiency and service quality, considering variability in demand and risks associated with climate change and infrastructure failures. …”
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Concept for Parameter Design and Optimization of Surface Acoustic Wave Devices
Published 2024-03-01“…Approbation of work on the creation of actual frequency filters on the example of resonator SAW filters with low losses on leaky SAWs. Development of a methodological approach to creation of a technology of computer-aided design of SAW filters using optimization algorithms.Materials and methods. …”
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Influence of heavy oil components and optimal magnetic nanocatalysts on the heavy oil upgrading by microwave-assisted
Published 2025-09-01“…It indicates a slight loss in efficiency due to aggregation or degradation.…”
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Enhancing SRM Performance through Multi-Platform Optimization and FPGA-Based Real-Time Simulation
Published 2024-10-01“…This proposal is used to achieve optimal levels of torque ripple and losses with accuracy and reliability, while taking advantage of real-time simulation. …”
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Generic multidimensional economic environmental operation of power systems using equilibrium optimization algorithm
Published 2025-05-01“…The OFs are optimized with and without considering valve point effects (VPE) and transmission system loss. …”
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OPTIMIZATION OF IMID-BASED THERAPIES
Published 2024-12-01“…In this case, it is clear that multiple myeloma treatment optimization cannot be achieved by considering multiple myeloma treatment only as applying the appropriate drug combination.In order to ensure the optimization of IMID-based therapies, it is necessary to take a broad perspective.This perspective should include the correct selection of the patient to be treated with IMID, the development and implementation of IMID forms that will increase patient compliance, the use of techniques to predict the development of resistance, side effect management during treatment, preventing the increase in disease burden with appropriate maneuvers by following the disease burden after treatment, and drug-free follow-up.It is recommended to avoid thalidomide in the presence of peripheral neuropathy, to prefer other agents instead of lenalidomide in the presence of renal function loss, and to avoid pomalidomide in patients with COPD.Nex-20, a once-monthly subcutaneous formulation of lenalidomide, is expected to be an important breakthrough in improving patient compliance.Prediction of which patients will develop resistance will be very useful in order to have the best treatment outcomes.Calculation of miRNA risk scores, measurement of lenalidomide metabolite levels in urine, measurement of cereblon levels in blood, or immunohistochemical detection of cereblon levels are some of the methods currently being tried to predict disease resistance.Patients who develop anemia should be treated with erythropoietin, skin reactions should be treated with steroids and antihistamines, diarrhea should be treated with loperamide and colestyramine, and in general, the drug should be discontinued and the same dose or a lower dose should be insisted upon.An important part of treatment is maintenance therapy with lenalidomide. …”
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Optimal Allocation of DG and DSTATCOM in Radial Distribution System Using Cuckoo Search Optimization Algorithm
Published 2017-01-01“…Loss sensitivity factor (LSF) and Voltage Stability Index (VSI) are used to predetermine the optimal location of DG and DSTATCOM, respectively. …”
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Enhancing stochastic optimal power flow with modified cheetah optimizer for integrating renewable energy sources
Published 2025-04-01“…The MCO methodology was applied to various objective functions such as overall operating cost, voltage deviation, pollutant emissions, and power loss, which were evaluated under different cases. …”
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Investigating the effect of loss functions on single-image GAN performance
Published 2024-12-01“…Loss functions are crucial in training generative adversarial networks (GANs) and shaping the resulting outputs. …”
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