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n this study 423 participants were involved. The level of readiness and intention of adapting to the ‘‘new normal’’ prevention campaign were 49.4 and 54.8% respectively. Being a health science student (AOR 1.82; 95% CI: 1.18, 2.81), being married (AOR 2.10; 95% CI: 1.1, 4.05), having a smartphone (AOR 1.84; 95% CI: 1.09, 3.12), and being knowledgeable towards COVID-19 (AOR 1.56; 95% CI: 1.04, 2.34) were found to be (1)
nancial and material support, and coordination of the regional capacity building and logistics should be adequately implemented. (1)
Nano thermoelectric engine (1)
Nanofluid, non-linear stretching sheet, Optimal Homotopy Asymptotic Method (OHAM), Slip effect (1)
national park, economic growth and development. (1)
Nationalism, Ethno nationalism, Ethnicity, Existential threat, Federalism (1)
Natural fiber Water hyacinth High-density polyethylene Taguchi method Grey relational grade analysis (1)
Natural Language Processing, Amharic Named Entity Recognition, Deep Learning, Glove, Word2vec, CBOW model, Skip-gram Model, Glove, character representation (1)
Natural Language Processing, Amharic Named Entity Recognition, Deep Learning, Glove, Word2vec, CBOW model, Skip-gram Model, Glove, character representation. (1)
Natural Language Processing, Geez Text Chunking, Deep Learning, Neural Network, Convolutional Neural Network (CNN), Bi-LSTM, Conditional Random Field (CRF), Word Embedding (1)

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