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441
Enhanced Selective Separation of Pu(IV) and U(VI) Using Novel Diethylene Glycolamide Ligand
Published 2025-04-01“…The study unveils that the ligand demonstrates remarkable selectivity and separation efficiency towards Pu(IV) ions while maintaining an exceptionally low extraction capacity for U(VI) across a wide acidity spectrum of 0.1~6 mol/L. …”
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442
Specific nature of the integrative (complex) effect of environmental factors on hazelnut cultivars in the Russian humid subtropics
Published 2021-04-01“…The crop’s genotypic diversity contributed to the specific nature of the complex effect produced by environmental factors. …”
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443
FROM TOPIC SELECTION TO SUCCESSFUL PUBLICATION: A ROADMAP FOR PHILOSOPHY DOCTOR (PHD) SUPERVISORS AND STUDENTS
Published 2025-06-01“…Doctoral education is a rigorous and complex endeavor that demands more than subject-matter proficiency. …”
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444
A Cluster Head Selection Algorithm for Extending Last Node Lifetime in Wireless Sensor Networks
Published 2025-05-01“…This paper introduces a new cluster head selection algorithm for wireless sensor networks (WSNs) to maximize the time until the last sensor node depletes its energy. …”
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445
An IoT intrusion detection framework based on feature selection and large language models fine-tuning
Published 2025-07-01“…At its core is a multi-stage feature selection algorithm combining Minimum Redundancy Maximum Relevance algorithm (mRMR) and a Pearson Correlation Coefficient (PCC)-improved Covariance Matrix Adaptation Evolution Strategy algorithm (CMA-ES). …”
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446
A population spatialization method based on the integration of feature selection and an improved random forest model.
Published 2025-01-01“…Firstly, recursive feature elimination using cross validation (RFECV), maximum information coefficient (MIC), and mean decrease accuracy (MDA) methods were utilized to select population distribution feature factors. …”
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447
Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications
Published 2025-07-01“…To address these limitations, we propose a low-complexity channel estimator using a non-iterative reconstruction network (NIRNet) with a learning-based selection matrix (LSM). …”
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448
Two-stage denoising method for complex underground tunnel scene three-dimensional point clouds
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449
Comparing the Efficiency of Sediment Rating Curve and ANN Models in Estimating River Bed-load
Published 2017-09-01“… Evaluation and selection of the most appropriate methods for bed-load estimation is necessary because of the sampling difficulties and inaccurate estimations of the empirical equations. …”
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450
Phenotypic Profiling of Selected Cellulolytic Strains to Develop a Crop Residue-Decomposing Bacterial Consortium
Published 2025-01-01“…In this regard, microbial inoculation with efficient strains offers a viable and eco-friendly solution to accelerating the decomposition process of crop residues. …”
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451
Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network
Published 2025-05-01“…This study addresses the problem of simultaneous variable selection and model estimation in multivariate failure time data, a common challenge in clinical trials with multiple correlated time-to-event endpoints. …”
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454
Advanced Noise Reduction for In-Cylinder Combustion Pressure Data Using ICEEMDAN and Optimal Wavelet Selection
Published 2025-01-01“…By bridging theoretical innovation with practical applications, the proposed method provides a scalable and precise solution for signal reconstruction in complex environments.…”
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455
Screening macrocyclic peptide libraries by yeast display allows control of selection process and affinity ranking
Published 2025-06-01“…X-ray analysis of a selected ligand in complex with its target reveals optimal shape complementarity and extensive surface interaction, explaining its exquisite affinity and selectivity. …”
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456
EXAMINING THE IMPACT OF FEATURE SELECTION TECHNIQUES ON MACHINE AND DEEP LEARNING MODELS FOR THE PREDICTION OF COVID-19
Published 2025-04-01“…Feature selection is a vital preprocessing step for identifying the most informative features in complex datasets, enhancing the efficiency and accuracy of machine learning models. …”
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457
Optimizing Ecosystem Partner Selection Decisions for Platform Enterprises: An Embedded Innovation Demand-Driven Framework
Published 2025-05-01“…The rapid emergence of the platform economy has accelerated the practice of embedded innovation, with ecosystem partner selection serving as a critical first step in platform enterprises’ innovation collaborations and playing a key role in enhancing innovation efficiency and outcomes. …”
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458
Efficient Urban Tree Species Classification via Multirepresentation Fusion of Mobile Laser Scanning Data
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459
Biosorption of chitosan-biochar microsphere for methyl red and biosorption enhancing effect of microsphere-microbe complex
Published 2015-03-01“…UN2 in methyl red solution with high concentration, and the removal rate for methyl red was increased by 29% and 76% respectively by chitosan-biochar-microbe complex compared with chitosan-biochar microsphere and free strains alone.In conclusion, the newly produced chitosan-biochar microsphere is an efficient adsorption material for methyl red. …”
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460
A Complex Integrable Hierarchy and Its Hamiltonian Structure for Integrable Couplings of WKI Soliton Hierarchy
Published 2014-01-01“…We generate complex integrable couplings from zero curvature equations associated with matrix spectral problems in this paper. …”
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