A stacking ensemble model for food demand forecasting: A preventative approach to food waste reduction by Asmaa Seyam, Sujith Samuel Mathew, Bo Du, May El Barachi, Jun Shen

“…The experimental results reveal that the proposed stacking model outperforms random forest and eXtreme gradient boosting while consistently outperforming support vector regression and long short-term memory model, achieving a coefficient of determination score of 0.99, mean absolute error of 0.63, mean absolute percentage error of 1.8, and prediction accuracy of 98.2%. …”
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Prediction of heterogeneous nucleation condensation effect on the surface of respiratory coal dust and test of dust reduction test by Hanyi LIN, Liang YUAN, Bingyou JIANG, Yuqian ZHANG, Yifan WANG, Haoyu WANG

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Estimation of chlorophyll content in rice canopy leaves based on main base analysis and dimensionality reduction method by YUAN Weinan, XU Tongyu, CAO Yingli, WANG Yang, YU Fenghua

“…The results showed that the modeling coefficient of determination (R²) was 0.689, with the root mean square error (RMSE) of 2.20, and the RMSE of validation model was 1.20. …”
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Study on the electrocatalytic CO2 reduction performance of covalent organic framework materials based on machine learning by Zhang Xiangying, Wang Sitan

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Study on Noise Reduction of Hydrostatic Leveling Signals for Wind Turbine Foundations Based on CEEMDAN-SG Algorithm by Renjie Li, Xiangxing Lu, Zhixin Song, Huanwei Wei, Fang Tan, Zhonghua Liu

“…The results demonstrate that the joint noise reduction method exhibits significant advantages compared to the individual CEEMDAN and SG algorithms. …”
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Community alcohol sales and opioid poisoning deaths: Alcohol serving space as a harm reduction opportunity by Cory M. Morton, Kristen Gilmore Powell, Michael Routhier, N. Andrew Peterson

“…Results inform harm reduction approaches by identifying substance use spaces where overdose prevention messaging or policy change may be most effective.…”
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Accurate estimation of permeability reduction resulted from low salinity water flooding in clay-rich sandstones by Xiaojuan Zhang, Muntadher Abed Hussein, Tarak Vora, Anupam Yadav, Asha Rajiv, Aman Shankhyan, Sachin Jaidka, Mehul Manu, Farzona Alimova, Issa Mohammed Kadhim, Zainab Jamal Hamoodah, Fadhil Faez, Ahmad Khalid

“…The results show that random forest and ensemble learning algorithms delivered the highest predictive accuracy, evidenced by the most substantial coefficient of determination (R2) and minimal error metrics. A sensitivity analysis further clarified that while increasing flooding water salinity and ionic strength leads to a reduction in permeability drop, both the flow rate and the sandstone's clay content exhibit a positive correlation with permeability impairment. …”
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Imbalance Charge Reduction in the Italian Intra-Day Market Using Short-Term Forecasting of Photovoltaic Generation by Cristina Ventura, Giuseppe Marco Tina, Santi Agatino Rizzo

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Visualization of large-scale user association feature data based on a nonlinear dimensionality reduction method by Nong Linlin

“…First, a LSUAFD visualization platform based on the nonlinear dimensionality reduction method is constructed. Secondly, the nonlinear dimensionality reduction algorithm is integrated into the platform, and the functional modules and data dimensionality reduction modules of the platform are finally tested. …”
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Wideband RCS Reduction of a Linear Patch Antenna Array Using AMC Metasurface for Stealth Applications by Baisakhi Bandyopadhyay, Sudeb Bhattacharya, Rahul Kumar Jaiswal, Mondeep Saikia, Kumar Vaibhav Srivastava

“…Along with the monostatic RCS reduction, a bistatic RCS reduction up to 40° has also been observed in simulations. …”
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Changes in medication administration error rates associated with the introduction of electronic medication systems in hospitals: a multisite controlled before and after study by Ling Li, Johanna I Westbrook, Peter Gates, Amanda Woods, Magdalena Z Raban, Neroli S Sunderland

“…Background Electronic medication systems (EMS) have been highly effective in reducing prescribing errors, but little research has investigated their effects on medication administration errors (MAEs).Objective To assess changes in MAE rates and types associated with EMS implementation.Methods This was a controlled before and after study (three intervention and three control wards) at two adult teaching hospitals. …”
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Artificial intelligence-based optimization and modeling of cadmium reduction via ultraviolet-assisted malathion/sulfite reaction mechanisms by Hossein Azarpira, Parsa Khakzad, Tayebeh Rasolevandi, Amir Sheikhmohammadi

“…In contrast, the SVR model showed better generalization to the test data, with lower error metrics and a consistent R2 of around 0.81 across both datasets. …”
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Optimizing the Shape of Signals with Quadrature Amplitude Modulation According to the Criterion of Given Reduction Rate of Out-of-Band Emissions by S. B. Makarov, S. V. Zavjalov, A. S. Ovsyannikova

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Experimental investigations on the drag reduction over riblets in a turbulent boundary layer under adverse pressure gradients by Takuto NONOMIYA, Monami SASAMORI, Shinsuke MOCHIZUKI

“…Experimental investigations on the drag reduction phenomenon over riblets have been made in turbulent boundary layer under adverse pressure gradients. …”
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Truncation Artifact Reduction in Stationary Inverse-Geometry Digital Tomosynthesis Using Deep Convolutional Generative Adversarial Network by Burnyoung Kim, Seungwan Lee

“…The performance of the proposed method was compared to conventional methods in terms of signal-to-noise ratio (SNR), normalized root-mean-square error (NRMSE), peak SNR (PSNR), and structural similarity (SSIM). …”
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PAPR Reduction in DCO-OFDM Visible Light Communication Systems Using Optimized Odd and Even Sequences Combination by Wei-Wen Hu

“…Moreover, the proposed blind SI detection scheme provides almost the same bit error rate (BER) performance as that of the CSLM scheme with a perfect SI detection and symmetric selected mapping for a DCO-OFDM VLC system with 1024 subcarriers and 16-QAM. …”
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Optimization of process parameters for sink marks and shrinkage reduction in family molds using Grey-based Taguchi method by Quoc-Nguyen Banh, Van-Keo Dong, Xuan-Hiep Tran, Anh-Son Tran, Minh-Tuan Ho

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Noise reduction in brain magnetic resonance imaging using adaptive wavelet thresholding based on linear prediction factor by Ananias Pereira Neto, Ananias Pereira Neto, Fabrício J. B. Barros

“…This dynamic thresholding approach aims to selectively reduce or eliminate noise coefficients while preserving essential image features.ResultsThe proposed method was rigorously evaluated against existing state-of-the-art noise reduction techniques. Experimental results demonstrate significant improvements in key performance metrics, including mean squared error (MSE), peak signal-to-noise ratio (PSNR), and structural similarity index (SSIM).DiscussionThe proposed adaptive thresholding technique effectively addresses the limitations of existing methods by providing a more efficient and accurate noise reduction approach. …”
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A Novel Method for Noise Reduction and Jump Correction of Maglev Gyroscope Rotor Signals Under Instantaneous Perturbations by Di Liu, Zhen Shi, Chenxi Zou, Ziyi Yang, Jifan Li

“…Experimental results demonstrate that, compared to the original rotor signal, the reconstructed signal processed by the MAF-ARIMA algorithm exhibits an average reduction of 70.58% in standard deviation and an average decrease of 47.31% in the absolute error of azimuth measurement results. …”
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Cell-type specific reductions in interneuron gene expression within the cingulate gyrus of schizophrenia and bipolar disorder subjects by David M. Krolewski, Huzefa Khalil, Maria Waselus, Marquis P. Vawter, Blynn G. Bunney, Richard M. Myers, Francis S. Y. Lee, Alan F. Schatzberg, William E. Bunney, Huda Akil, Stanley J. Watson

“…SZ and BP displayed divergent aMCC gene expression reductions suggesting transcriptional changes are associated with disease-specific gene/subregion signatures, potentially underlying differential subregional dysregulation within areas associated with error detection/action monitoring and the salience network. …”
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