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Assessment of the Efficiency of a ChatGPT-Based Tool, MyGenAssist, in an Industry Pharmacovigilance Department for Case Documentation: Cross-Over Study
Published 2025-03-01“…ConclusionsOur study is the first to show that a ChatGPT-based tool can improve the efficiency of a good practice activity without needing a long training session for the affected workforce. …”
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Effect of non-linear thermal radiation and Cattaneo-Christov heat and mass fluxes on the flow of Williamson hybrid nanofluid over a stretching porous sheet [version 2; peer review:...
Published 2025-03-01“…These fluids improve thermal conductivity and fluid dynamics, leading to better heat management and energy efficiency. This study investigates the combined effects of non-linear thermal radiation, Cattaneo-Christov heat and mass fluxes, and other factors on the three-dimensional flow, heat, and mass transfer of a Williamson hybrid nanofluid. …”
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Design and control of a DC-DC buck converter using discrete Takagi-Sugeno fuzzy models
Published 2025-05-01“…A DC-DC buck converter plays a crucial role in industrial applications by efficiently stepping down voltage levels to power various electronic components and systems. …”
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Decision model to control water losses in distribution networks
Published 2016-01-01“…The model combines an additive multi-attribute value analysis by applying the SMARTER method to evaluate alternatives with Integer Linear Programming (ILP). The model shows to be efficient in order to achieve a portfolio of preventive maintenance actions, particularly when the decision maker considers that, there is a compensation for attribute evaluations.…”
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Multi-owner accredited keyword search over encrypted data
Published 2017-11-01“…A sharing multi-owner setting where data was owned by a fixed number of data owners,the existing searchable encryption schemes could not support ciphertext retrieval and fine-grained access control at the same time.For this end,an efficient cryptographic primitive called as multi-owner accredited keyword search over encrypted data scheme was designed,through combining linear secret-sharing technique with searchable encryption schemes,only the data users authorized bymulti-owner by could decrypt the returned results.The formal security analysis shows that the scheme can protect security and privacy under the bilinear Diffie-Hellman assumption.As a further contribution,an empirical study over real-world dataset was conelucted to show the effectiveness and practicability of the scheme.…”
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A study on the interaction between Verticillium dahliae strains and cotton varieties
Published 2003-01-01“…Compared with AMMI, GLM is a more efficient and sampling method to analyze the interaction of unreplicated data.…”
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Eficiência de uso de nitrogênio em cobertura pelo feijoeiro irrigado The efficiency of use of nitrogen applied in top dressing in irrigated bean
Published 2011-05-01“…Dry bean phytobiomass was linearly related with N rate at flowering, while at harvest the response was quadratic. …”
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1248
Spatial Model for Determining the Optimum Placement of Logistics Centers in a Predefined Economic Area
Published 2016-08-01“…The process of globalization has stimulated the demand for logistics services at a level of speed and increased efficiency, which involves using of techniques, tools, technologies and modern models in supply chain management. …”
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Experimental Determination of the Focal Distance of Cumulative Pyrotechnic Device in Launch Vehicle Separation System
Published 2025-01-01“…One of the most effective types of pyrotechnic devices for performing obstacle separation operations in aerospace engineering is linear shaped charges. The penetration efficiency of the cumulative jet into a metal plate varies depending on the distance to the obstacle, i.e., on the focal distance. …”
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Blessing of dimensionality in spiking neural networks: the by-chance functional learning
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1251
Enhanced mm-Wave Frequency Up-Conversion via a Time-Varying Graphene Aperture on a Cavity Resonator
Published 2025-06-01“…The transition to 5G and beyond has highlighted the need for efficient devices that operate at mm-wave frequencies, which require new structures and pose fabrication challenges. …”
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Effect of Adding Blast Furnace Slag on Shrinkage and Swelling Behavior of Clayey Soil
Published 2025-06-01“… The challenge of mitigating soil swelling and shrinkage has driven geotechnical engineers and researchers to seek effective, sustainable, and cost-efficient stabilization methods. One promising approach is using industrial by-products, such as blast furnace slag (BFS), as stabilizing agents. …”
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Integrated Analytical Modeling and Numerical Simulation Framework for Design Optimization of Electromagnetic Soft Actuators
Published 2025-03-01“…A mixed integer non-linear programming (MINLP) optimization framework is introduced to maximize the ESA’s <i>F</i>/<i>CSA</i>. …”
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Unveiling innovation imperatives in agriculture: A data-driven framework for identifying latent needs and regional priorities
Published 2024-12-01“…Logistic regression is adopted to calculate the propensity scores, and several generalized linear models are used to estimate the impact of regional localization. …”
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Global maximum power point tracking method for photovoltaic systems using Takagi-Sugeno fuzzy models and ANFIS approach
Published 2025-03-01“…The novelty of this paper lies in the integration of T-S fuzzy models and the ANFIS approach to develop an efficient GMPPT controller for a PV system operating under partial shading conditions. …”
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A Multi-Objective Approach for Optimizing Virtual Machine Placement Using ILP and Tabu Search
Published 2024-12-01“…Efficient Virtual Machine (VM) placement is a critical challenge in optimizing resource utilization in cloud data centers. …”
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Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks
Published 2024-01-01“…The linearly combined data is then fed into the LSTM model for load prediction. …”
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Carcinogenic health risks and water quality assessment of groundwater around lead–zinc mining areas of Ebonyi state Nigeria: a data-driven machine learning approach
Published 2024-11-01“…Machine learning was preferred over traditional methods for its ability to capture complex, non-linear relationships in the data, allowing for more accurate predictions of contamination levels and health risks, which is crucial for targeted monitoring and efficient groundwater management in mining-impacted areas. …”
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