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Authority and Moral Conflicts in the Films of Adébáyọ Fálétí: Àfọ̀njá, Gáà, Ṣawo Ṣẹ̀gbẹ̀rì and the Yorùbá Cosmopolis
Published 2021-12-01“…As defined in the words of Chris Barker, “Culturalism focuses on meaning production by human actors in a historical context.”1 Fálétí’s historical drama and films fall within such category. …”
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Dissecting Cowpea Genetic Variability under Moisture Stress Conditions and Implications for Drought Tolerance Breeding
Published 2024-01-01“…Nine drought tolerance indices (MP = mean productivity index, GMP = geometric mean productivity index, HM = harmonic mean, STI = stress tolerance index, YI = yield index, YSI = yield stability index, TOL = tolerance index, Yrr = yield reduction ratio, and SSI = stress susceptibility index) were calculated based on grain yield under water stress and nonstress conditions. …”
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Hydrogen Cyanide in Comet C/2022 E3 (ZTF) from 3.4 mm Wave Spectra
Published 2025-01-01“…From the observed spectra, the hydrogen cyanide (HCN)( J = 1–0) spectra lines was detected. The mean production rate of HCN is (8.30 ± 1.14) × 10 ^25 molec. s ^−1 in mid January and (3.91 ± 0.84) × 10 ^25 molec. s ^−1 in early February. we also estimated the upper limit of the production rate of HCO+. …”
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The use of drought resistance indices in the study of the spring bread wheat collection under the conditions of Aktobe Region
Published 2022-10-01“…To assess the drought tolerance of the accessions, the following indices were used: mean productivity (MP), stress tolerance (TOL), yield stability index (YSI), drought resistance index (DI), and stress tolerance index (STI).Results and discussion. …”
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Performance Evaluation and Stability of Maize (Zea mays L.) Genotypes for Grain Yield Using AMMI and GGE Biplot
Published 2024-01-01“…Genotypes BH-661, BH-549, and BH-546 demonstrated superior performance and stability, surpassing the national maize mean productivity and indicating broad adaptability. The AMMI analysis, GSI, and GGE biplot confirmed their robustness and high yield potential, especially for BH-661 and BH-549, making them optimal for variable conditions. …”
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Performance evaluation and prediction of optimal operational conditions for a compact date seeds milling unit using feedforward neural networks
Published 2025-02-01“…That operational condition resulted in 30 kg/h for machine’s throughput, 49 kW h/ton specific energy consumption, and 2.14 mm mean product size. With FNN model accuracy R2 of 0.99974, demonstrating high prediction reliability. …”
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