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8781
Evaluation of the Chetomin effect on histopathological features in a murine acute spinal cord injury model
Published 2025-01-01“…Methods: An experimental, prospective, cross-sectional study was performed using 42 Wistar rats where we analyzed the effect of Chetomin compared to methylprednisolone administered 1 and 8 h after the spinal cord injury in a murine model. Results: Chetomin administration 8h post-injury decreased IL-6 and VEGF expression; and, and its administration 1h post-injury decreased NF-kB expression. …”
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8782
Local controllability and optimal control for\newline a model of combined anticancer therapy with control delays
Published 2017-01-01“…We study some control properties of a class of two-compartmental models of response to anticancer treatment which combines anti-angiogenic and cytotoxic drugs and take into account multiple control delays. …”
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8783
Solving Inverse Kinematics of the Shotcrete Manipulator Based on the Plane Two-Link Model and Trajectory Planning
Published 2020-01-01“…By simplifying the complex mechanical arm structure model into a simple planar two-link manipulator model, the inverse kinematics of the shotcrete manipulator is solved, and automatic trajectory planning software is developed, which can better help construction and reduce injury to personnel’s health and can also help the construction party save materials and improve economic efficiency and construction efficiency.…”
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8784
Evaluation of <i>Brachypodium</i> spp. System Model Against <i>Fusarium poae</i>
Published 2025-01-01“…Considering the advantages of using <i>B. distachyon</i> as a plant model and the importance of <i>F. poae</i> in crops, our study aimed to evaluate the potential use of <i>Brachypodium</i> as a plant model to evaluate the compatible interaction with <i>F. poae</i>. …”
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8785
ENVIRONMENTAL SYSTEM ENGINEERING (ESE): MODELING AND OPTIMIZATION OF A TEXTILE EFFLUENT DISCOLORATION PROCESS BY SORPTION
Published 2015-12-01Subjects: Get full text
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8786
A Novel Integrated Fuzzy-Rough MCDM Model for Evaluation of Companies for Transport of Dangerous Goods
Published 2021-01-01“…A group decision-making model was created to evaluate 11 transport companies based on nine legal, technical, technological criteria. …”
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8787
A mathematical model for the study of latent tuberculosis under 3HP and 1HP regimens
Published 2024-11-01“…Mathematical Modelling and Control…”
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8788
Model Optimization of Shale Gas Reservoir Volume Fracturing Dissolved Gas Simulation Adsorbed Gas
Published 2021-01-01“…The basic percolation model of shale gas reservoir: the black oil model of gas-water phase is used as the basic model, and the dissolved gas is used to simulate adsorbed gas. …”
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8789
Carbon Market Efficiency and Economic Policy Uncertainty: Evidence from a TVP-VAR Model
Published 2024-01-01“…This paper examines the dynamic linkages among economic policy uncertainty (EPU), the green bond market, the carbon market, and the macroeconomy using the time-varying parameter vector autoregressive (TVP-VAR) model with monthly data spanning from January 2016 to December 2021. …”
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8790
Simulation and Modelling of Safety of Roadways in Reverse Horizontal Curves (RHCs): With Focus on Lateral Friction Coefficient
Published 2022-01-01“…This study used vehicle dynamic modeling to evaluate the lateral friction of various vehicles. …”
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8791
Therapeutic Effect of Traditional Chinese Medicine on a Rat Model of Branch Retinal Vein Occlusion
Published 2019-01-01“…Therefore, the aim of this study was to determine the efficacy and possible mechanism of HXMM in a BRVO rat model established by laser photocoagulation. Successful BRVO rat models were treated with different doses of HXMM. …”
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8792
Exploring Inflation Dynamics with the Phillips Curve in Türkiye: Evidence from the Markov Regime Switching Model
Published 2024-04-01Subjects: “…markov regime switching model…”
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8793
Fault Diagnosis and Detection in Industrial Motor Network Environment Using Knowledge-Level Modelling Technique
Published 2017-01-01“…Modelling and Simulation in Engineering…”
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8794
Development of robust machine learning models for predicting flexural strengths of fiber-reinforced polymeric composites
Published 2025-03-01“…Including heterogeneous data from both sources enhances the robustness and generalizability of the developed models. The results demonstrate that the extra trees regressor (ETR) achieves excellent accuracy when applied to the heterogeneous dataset, with a coefficient of determination (R2) value of 0.94, MAE of 31.97, and RMSE of 47.64, outperforming the other three models. …”
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8795
Model to explain dental visit for children aged 0 to 5: Scoping review of birth cohorts.
Published 2025-01-01“…The aim of this study is to propose a theorical model to explain the use of dental care for children with primary teeth, based on results from birth cohorts.…”
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8796
A Modified Dynamic Evolving Neural-Fuzzy Approach to Modeling Customer Satisfaction for Affective Design
Published 2013-01-01“…A neural-fuzzy network approach has been attempted recently to model customer satisfaction for affective design and it has been proved to be an effective one to deal with the fuzziness and non-linearity of the modeling as well as generate explicit customer satisfaction models. …”
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8797
Investment Efficiency in Indonesia's Construction Sub-Sector: An Optimal Portfolio Approach Using the Markowitz Model
Published 2025-02-01“…Keywords: Investment Efficiency; Optimal Portfolio; Markowitz Model; Return and Risk; Construction Sub-Sector …”
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8798
Time Series Analysis: Application of LSTM model in predicting PM 2.5 concentration in Beijing
Published 2025-01-01“…Air pollution forecasting for public health and policy-making has a critical importance, this paper employs a Long Short-Term Memory (LSTM) model to perform in-depth prediction of PM2.5 concentrations measured at the U.S. …”
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8799
Solar Radiation Prediction Using Decision Tree and Random Forest Models in Open-Source Software
Published 2025-01-01“…For this purpose, open-source software (Python) and a methodology involving the creation, implementation, and testing of specific machine learning models random forest (RF) and decision tree (DT) were used. …”
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8800
Genetic markers and predictive model for individual differences in countermovement jump enhancement after resistance training
Published 2024-04-01“…The explanatory power of the predictive model for training outcomes, established using PGS and phenotypic indicators, was 62.6%, comprising 13.0% from PGS and 49.6% from phenotypic indicators. …”
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