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Showing 781 - 800 results of 3,373 for search 'complex selection (coefficient OR efficient)', query time: 0.20s Refine Results
  1. 781

    Correlation of Complex Impacted Mandibular Teeth with Pericoronitis and Effect of Minimally Invasive Tooth Extraction on Patients’ Long-term Outcome of Masticatory Ability by Tinghong Nie, Bojie Chang, Lili Tian, Shansong Cao, Junjie Wang, Haitao Qi, Lirong Gao

    Published 2022-01-01
    “…A total of 101 patients with complex impacted teeth who were treated in our hospital from March 2019 to June 2021 were selected and divided into the control group (n = 55) and the observation group (n = 46) according to the different treatment methods. …”
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    Article
  2. 782

    Analysis on the Spatiotemporal Characteristics of the Postearthquake Reconstruction Efficiency of the Extremely Earthquake-Stricken Areas by the Wenchuan Earthquake Based on the DE... by Pin Lv, Bin Liu, Mingkang Yuan, Suyue Han, Di Zhang, Lv Zhang

    Published 2020-01-01
    “…In terms of the main disaster-pregnancy environment, the terrain complexity is most closely related to fluctuation of reconstruction efficiency, with a correlation coefficient of 0.9975, followed by river network density and the lowest fault density. …”
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    Article
  3. 783

    Hyperspectral Anomaly Detection by Spatial–Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

    Published 2025-01-01
    “…This method replaces the traditional covariance matrix with a significance-weighted Cauchy distance graph, reducing the influence of the target on the background and improving the model’s robustness in complex environments. Subsequently, a low-rank and sparse representation model is employed to construct background dictionaries, low-rank coefficient matrices for the background, and sparse anomaly matrices, enabling effective spatial information utilization for detecting anomalous targets. …”
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    Article
  4. 784

    Wavelet Multiresolution Analysis-Based Takagi–Sugeno–Kang Model, with a Projection Step and Surrogate Feature Selection for Spectral Wave Height Prediction by Panagiotis Korkidis, Anastasios Dounis

    Published 2025-08-01
    “…The accurate prediction of significant wave height presents a complex yet vital challenge in the fields of ocean engineering. …”
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    Article
  5. 785
  6. 786

    Highly Selective Precipitation of Platinum(IV) from HCl Solutions Using <i>m</i>-Phenylenediamine Utilizing Difference in Stability of Ionic Crystals by Kazuya Matsumoto, Yuki Hata, Hiroshi Katagiri, Mitsutoshi Jikei

    Published 2025-02-01
    “…The development of a selective separation and recovery method for platinum-group metals (PGMs) is in high demand to establish efficient and practical recycling technologies for different secondary materials such as industrial automobile catalysts. …”
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    Article
  7. 787

    An Enhanced DCO-OFDM Scheme for Dimming Control in Visible Light Communication Systems by Yang Yang, Zhimin Zeng, Julian Cheng, Caili Guo

    Published 2016-01-01
    “…Furthermore, two parameter selection mechanisms with different complexities and performance gains are designed for the piecewise function in the eDCO-OFDM scheme. …”
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    Article
  8. 788

    A Smart Ru‐Locked Chemiluminescence Probe via Bioorthogonal Activation for Highly Selective, Real‐Time and Noninvasive In Vivo Imaging of Thiol Dysregulation by Dongnan Guo, Dan Xu, Xiaofeng Wei, Chunying Fan, Bobo Wang, Laifu Li, Haixia Song, Wenguang Yang, Yujie Wang, Zhaojia Wang, Xiaofang Hou, Sicen Wang

    Published 2025-08-01
    “…The BAC probe overcomes many limitations that existed in other chemiluminescence probes via a highly selective “Ru‐locked” mechanism to achieve light‐independent, thiol‐triggered activation in the complex tumor microenvironment. …”
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    Article
  9. 789
  10. 790

    Efficient removal of uranium (VI) from environmental water samples by cyclodextrin-intercalated layered double hydroxide-coated magnetic nanoparticles by Ali Esrafili, Mahnaz Ghambarian, Mahmood Yousefi, Najmeh Yazdanfar

    Published 2024-12-01
    “…The selectivity of the adsorbent was evaluated by calculating distribution coefficients for Uranium (VI) and some interfering ions. …”
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    Article
  11. 791

    Optimizing Controlled-Resonance Acoustic Metamaterials with Perforated Plexiglass Disks, Honeycomb Structures, and Embedded Metallic Masses by Giuseppe Ciaburro, Gino Iannace, Virginia Puyana Romero

    Published 2025-01-01
    “…The metamaterial’s acoustic properties were experimentally characterized using an impedance tube (Kundt tube), allowing the measurement of the Sound Absorption Coefficient (SAC) over an expansive frequency selection. …”
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    Article
  12. 792

    Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

    Published 2025-01-01
    “…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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    Article
  13. 793

    Multi scale supervised entropy weighted binary pattern for texture classification by Xiaochun Xu, Bin Li

    Published 2025-07-01
    “…However, most existing multi-scale methods are overly complex and redundant, often neglecting the correlation of texture features across different scales. …”
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    Article
  14. 794

    Simply cut out – Combining CRISPR/Cas9 RNPs and transiently selected telomere vectors for marker free-gene deletion in Trichoderma atroviride by Mario Gründlinger, Chiara Ellensohn, Leo Drechsel, Ulrike Schreiner, Siebe Pierson, Clara Baldin, Susanne Zeilinger

    Published 2025-07-01
    “…However, genetic manipulation in this organism remains challenging due to the limited availability of versatile and efficient molecular tools. Here, we present a CRISPR/Cas9-based method for targeted gene manipulation using ribonucleoprotein (RNP) complexes combined with a transiently stable telomere vector. …”
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    Article
  15. 795

    Optimizing Feature Selection in Sentiment Analysis of Bank Saqu: A Comparative Study of SVM and Random Forest using Information Gain and Chi-Square by Anelta Tirta Putri Subandono, Dhani Ariatmanto

    Published 2025-05-01
    “…The selection of an optimal feature selection method is a crucial factor in improving the accuracy and efficiency of text classification models. …”
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    Article
  16. 796
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  19. 799

    Selective recovery of Co(II) over Ni(II), Al(III), and Li(I) from ethylene glycol solution by solvent extraction and precipitation by Viet Nhan Hoa Nguyen, Quoc Vinh Ly, Mong Nhu Y Huynh, Van Hong Thien Doan, Huynh Vu Thanh Luong, Thi Hong Nguyen, Man Seung Lee, Thanh Tuan Tran

    Published 2025-03-01
    “…The selective extraction behavior of ALi-SCN for Co(II) is due to differences in the stability and speciation of metal complexes in the EG-H2O solution. …”
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    Article
  20. 800

    Selective recovery of Co(II) over Ni(II), Al(III), and Li(I) from ethylene glycol solution by solvent extraction and precipitation by Viet Nhan Hoa Nguyen, Quoc Vinh Ly, Mong Nhu Y Huynh, Van Hong Thien Doan, Huynh Vu Thanh Luong, Thi Hong Nguyen, Man Seung Lee, Thanh Tuan Tran

    Published 2025-03-01
    “…The selective extraction behavior of ALi-SCN for Co(II) is due to differences in the stability and speciation of metal complexes in the EG-H2O solution. …”
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    Article