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    Inactivation of intergenic enhancers by EBNA3A initiates and maintains polycomb signatures across a chromatin domain encoding CXCL10 and CXCL9. by Marie L Harth-Hertle, Barbara A Scholz, Florian Erhard, Laura V Glaser, Lars Dölken, Ralf Zimmer, Bettina Kempkes

    Published 2013-09-01
    “…This impairs enhancer activity, resulting in a rapid transcriptional shut-down of both genes in a CBF1-dependent manner and initiation of a delayed gain of H3K27me3 marks covering an extended chromatin domain. …”
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    Inhibition of selective factor Xa suppresses type 1 diabetes development in mice via the CXCL16 chemokine by Mohamed S. Abdel-Bakky, Hamdoon A. Mohammed, Elham Amin

    Published 2024-11-01
    “…This research aims to investigate the role of coagulation system activation and CXCL16 in T1DM progression and the possible preventive effect of the selective Factor Xa inhibitor, Fondaparinux (Fond). …”
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  7. 827
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    Feature Selection based on Genetic Algorithm for Classification of Mammogram Using K-means, k-NN and Euclidean Distance by Kameran Adil Ibrahim

    Published 2023-02-01
    “…., the classifications was done on the bases of the features selected using genetic algorithm. Attempts have also been made to study the performance of each feature selected by Genetic Algorithm (GA) in classification. …”
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    Influence of laser power on microstructure and performance of SiC/Ti composite fabricated through selective laser melting by Jun Fang, Yong Chai Tan, Youwen Yang, Yuwei Yi, Dongsheng Wang, Enping Wei, Peipei Zhang, Xiang Li

    Published 2025-01-01
    “…SiC particle-reinforced titanium (Ti) composites fabricated through Selective Laser Melting (SLM) demonstrate significant improvements in mechanical and tribological properties. …”
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  11. 831

    Normal wiggly probabilistic hesitant fuzzy-based TODIM approach for optimal solid waste disposal method selection by Jawad Ali, Dragan Pamucar

    Published 2025-01-01
    “…The proposed method is then applied to a problem related to selecting solid waste disposal methods to demonstrate its practical applicability. …”
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  12. 832

    Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification by Dharani Kanta Roy, Hemanta Kumar Kalita

    Published 2025-01-01
    “…The proposed work introduces an intelligent semi-supervised intrusion detection system based on different algorithms to classify the network attacks accurately. Initially, the pre-processing is accomplished using null value dropping and standard scaler normalization. …”
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  13. 833

    Optimal path selection and secured data transmission in underwater acoustic sensor networks: LSTM-based energy prediction. by Sathish Kaveripakam, Ravikumar Chinthaginjala

    Published 2023-01-01
    “…The proposed model of transmitting the secured data in UASN through the optimal path involves two major phases. Initially, the nodes are selected under the consideration of constraints like energy, distance and link quality in terms of throughput. …”
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    Energetic trade-offs: Implications for selection between two bivalve prey species by a carnivorous muricid gastropod. by A Averbuj, J A Büchner-Miranda, L P Salas-Yanquin, J M Navarro, L M Pardo, A S Matos, J A Pechenik, O R Chaparro

    Published 2021-01-01
    “…In addition, the amount of energy available will vary with the prey that are selected for consumption. The muricid gastropod Acanthina monodon inhabits rocky shores, where it routinely feeds on the mytilids Semimytilus algosus and Perumytilus purpuratus. …”
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  16. 836

    Effects of Fabrication Parameters on the Properties of Parts Manufactured with Selective Laser Sintering: Application on Cement-Filled PA12 by Abdelrasoul M. Gadelmoula, Saleh A. Aldahash

    Published 2019-01-01
    “…Selective laser sintering (SLS) becomes a promising technology for manufacturing complicated objects with small to moderate numbers from a wide range of polymeric and metallic powders. …”
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  17. 837

    An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments by Mimouna Abdullah Alkhonaini

    Published 2025-08-01
    “…Furthermore, the FOFSDL-SCD model utilizes the Fox optimizer algorithm (FOA) method for the feature selection process to select the most significant features from the dataset. …”
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  18. 838

    Selection of Optimal Nanofiltration/Reverse Osmosis (NF/RO) Membranes for the Removal of Organic Micropollutants from Drinking Water by E. Busra Tasdemir, Marie Pardon, Sareh Rezaei Hosseinabadi, Laurens A. J. Rutgeerts, Deirdre Cabooter, Ivo F. J. Vankelecom

    Published 2025-06-01
    “…In this study, 15 nanofiltration (NF) and reverse osmosis (RO) commercial membranes were selected and their potential to remove 10 frequently encountered OMPs in drinking water, with systematically different chemical characteristics, was evaluated. …”
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    Multimodal Classification of Alzheimer’s Disease Using Longitudinal Data Analysis and Hypergraph Regularized Multi-Task Feature Selection by Shuaiqun Wang, Huan Zhang, Wei Kong

    Published 2025-04-01
    “…Therefore, in this paper, we propose a multi-task feature selection algorithm for Alzheimer’s disease classification based on longitudinal imaging and hypergraphs (THM2TFS). …”
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