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  1. 1661

    Compound Fault Feature Extraction of Gearbox with Improved Local Mean Decomposition by Huili Chai, Meitao Ye

    Published 2019-08-01
    “…The idea is to optimize ELMD by adding pairwise white noise in combination with Permutation Entropy (PE) method based on ELMD. …”
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    Article
  2. 1662

    An Improved Group-Based Neighbor Discovery Algorithm for Mobile Sensor Networks by Qiang Niu, Weiwei Bao, Shixiong Xia

    Published 2014-04-01
    “…Most discovery designs are based on pairwise and fixed duty cycle, in which discovery is passively achieved when two nodes wake up at the same time. …”
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    Article
  3. 1663

    Mean Empirical Likelihood Inference for Response Mean with Data Missing at Random by Hanji He, Guangming Deng

    Published 2020-01-01
    “…As to three bias-corrected estimating equations, we get a new set by producing a pairwise-mean dataset. The method can increase the size of the sample for estimation and reduce the impact of the dimensional curse. …”
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    Article
  4. 1664

    Instability in Stable Marriage Problem: Matching Unequally Numbered Men and Women by Gui-Yuan Shi, Yi-Xiu Kong, Bo-Lun Chen, Guang-Hui Yuan, Rui-Jie Wu

    Published 2018-01-01
    “…This article considers a generalized form of the stable marriage problem, where different numbers of men and women need to be matched pairwise and the emergence of single men or women is inevitable. …”
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    Article
  5. 1665

    Constellation Optimization for MIMO VLC System With Signal-Dependent Noise: Receiver-Side Design and Lookup Table Establishment by Jiaqi Wei, Yuan Wang, Nuo Huang, Yan-Yu Zhang, Yi-Jun Zhu, Wenliang Hao, Chen Gong

    Published 2025-01-01
    “…We propose a constellation optimization method aiming at minimizing the system pairwise error probability. In order to obtain the transmitter constellation, we design the demapping rules from the perspective of energy efficiency and illumination uniformity. …”
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    Article
  6. 1666

    Time-Dependent Influence Measurement in Citation Networks by Monika Ewa Rakoczy, Amel Bouzeghoub, Alda Lopes Gancarski, Katarzyna Wegrzyn-Wolska

    Published 2018-12-01
    “…For the task of finding such influential places-to-publish, we introduce a Running Influence model that aims to discover pairwise influence between communities and evaluate the overall influence of each considered community. …”
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    Article
  7. 1667

    Adding a new piece to the puzzle of Cosmocercidae evolutionary relationships: genetic characterization of Aplectana pella parasitic in Osteocephalus cabrerai from Amazon Region by Jorge Kevin Silva Neves, Gabriel Lima Rebêlo, Adriano José Silva Félix, Scott Lyell Gardner, Arnaldo Maldonado Júnior, Carlos Eduardo Costa-Campos, Francisco Tiago Vasconcelos Melo

    Published 2025-02-01
    “…We provided the first nucleotide sequence of ribosomal gene 18S rDNA for Aplectana pella and established the species' phylogenetic position between representatives of Cosmocercidae. A pairwise genetic comparison between A. pella and its congeners revealed a low genetic divergence. …”
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    Article
  8. 1668

    Influence of Industrialisation on Economic Growth: A Case Study of Mbarara City. by Agaba, Gordon

    Published 2024
    “…This research examined the impact of industrialization on economic growth and the effects of exchange rates and interest rates on economic growth using several econometrics methods: Pairwise Granger causality tests; The lagged error mechanism ECM; Serial correlation; Johansen co-integration. …”
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    Thesis
  9. 1669
  10. 1670
  11. 1671

    Nilai Perjuangan dalam Novel Arus Balik Karya Pramoedya Ananta Toer by Sabjan Badio, Burhan Nurgiyantoro, Hartono Hartono

    Published 2019-12-01
    “…Sementara itu, nilai perjuangan tanpa pamrih terdiri atas tidak mengharapkan penghormatan dan tidak mengharapkan jabatan.…”
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    Article
  12. 1672

    Additions to the saprobic fungi (Ascomycota) associated with macadamia trees from the Greater Mekong Subregion by Xian Zhang, Saowaluck Tibpromma, Samantha C. Karunarathna, Tian-Ye Du, Li-Su Han, Abdallah M. Elgorban, Jaturong Kumla, Chanokned Senwanna, Dong-Qin Dai, Nakarin Suwannarach, Hao-Han Wang

    Published 2025-01-01
    “…Our multigene phylogenetic analyses (ITS, LSU, SSU, tef1-α, TUB2, and ACT loci), genealogical concordance phylogenetic species recognition (GCPSR) with a pairwise homoplasy index (PHI) test, and morphological characteristics led to the discovery of two new species, Dothiorella macadamiae and Phaeoacremonium chiangmaiense, and one new record, Melomastia puerensis. …”
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    Article
  13. 1673

    A Comparative Holistic Fuzzy Approach for Evaluation of the Chain Performance of Suppliers by Ergün Eraslan, Kumru Didem Atalay

    Published 2014-01-01
    “…The FAHP is used for determination of the global weights of the factors and the performances of alternative suppliers are evaluated by using both FAHP-based and FAHP-FTOPSIS hybrid methods for synthetic extent values of pairwise comparisons. The sequences of the suppliers differed for the algorithms. …”
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    Article
  14. 1674

    Using the three-way matrix for AHP-group decision-making by Elisa Fiorenza

    Published 2024-12-01
    “…Applying a traditional AHP with certain preference aggregation mechanisms, the procedure is very burdened by the many pairwise comparison matrices due to the number of decision-makers. …”
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    Article
  15. 1675

    MODEL FOR ASSESSING DIGITAL LEADERSHIP OF ORGANIZATION by A. V. Varnavskiy, E. S. Volkova, A. O. Buryakova, E. A. Klimova

    Published 2020-06-01
    “…As a result, a matrix of pairwise comparisons is created. The level of development of digital leadership is characterized by an aggregated indicator calculated on the basis of the normalized matrix vector. …”
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    Article
  16. 1676

    On Clustering Detection Based on a Quadratic Program in Hypergraphs by Qingsong Tang

    Published 2022-01-01
    “…A proper cluster is usually defined as maximally coherent groups from a set of objects using pairwise or more complicated similarities. In general hypergraphs, clustering problem refers to extraction of subhypergraphs with a higher internal density, for instance, maximal cliques in hypergraphs. …”
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    Article
  17. 1677

    BINARY HARD-SPHERE COLLOID-DROPLET MIXTURES WITH THE PYRITE-TYPE STRUCTURE by Minh Tu Vu, Tran Thanh Nam Nguyen, Phan Thuy Linh Tran, Van Dien Pham, Thi Hien Doan, Manh Cuong Tran, Van Hai Pham

    Published 2023-03-01
    “…Here, colloids with six patches in an octahedral symmetry attract droplets, whereas the colloid-colloid and droplet-droplet pairwise interactions are purely hard-core repulsions. …”
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    Article
  18. 1678

    Morphological and phylogenetic analyses reveal two new species of the Fusarium fujikuroi (Hypocreales, Nectriaceae) species complex in China by Mingwei Zhang, Cheng Peng, Shuji Li, Chengming Tian

    Published 2025-01-01
    “…We employ morphological and phylogenetic analyses based on partial gene fragments of the translation elongation factor 1-alpha (tef1), beta-tubulin (tub2), calmodulin (CaM), RNA polymerase largest subunit (rpb1), and RNA polymerase II second largest subunit (rpb2), as well as the pairwise homoplasy index tests. Studies have shown that these phylospecies are clustered in the Asian clade of the FFSC. …”
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    Article
  19. 1679

    Expressiveness of Commutative Quantum Circuits: A Probabilistic Approach by Jorge M. Ramirez, Elaine Wong, Caio Alves, Sarah Chehade, Ryan Bennink

    Published 2024-01-01
    “…Based on the Fourier series representation of these circuits, we express quantum expectation and pairwise fidelity as characteristic functions of random variables, and we characterize expressiveness as the recurrence probability of a random walk on a lattice. …”
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    Article
  20. 1680

    Many-body van der Waals interactions in multilayer structures studied by atomic force microscopy by Xiao Wang, Zepu Kou, Ruixi Qiao, Yuyang Long, Baowen Li, Xuemei Li, Wanlin Guo, Xiaofei Liu, Jun Yin

    Published 2025-01-01
    “…Here we verify the substrate contribution at the adhesion between the atomic force microscopy tip and the supported graphene, by taking advantage of the atomic-scale proximity of two objects separated by graphene. While the pairwise dispersion theory overestimates the substrate contribution at critical adhesive pressures, the many-body dispersion theory remedies this deficiency, highlighting the non-additivity nature of substrate contribution. …”
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    Article