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A Machine Learning-Based Method for Predicting the Classification of Aircraft Damage von Rosadi, Imron, Franciscus, Freddy, Widanto, Muhammad Hadi

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Risk factors of necrotising enterocolitis among 28-34 weeks preterm neonates at a Tertiary Care Hospital, East Java, Indonesia von Corebima, B I R V, Handono, K, Barlianto, W, Santosaningsih, D, Rohsiswatmo, R, Sulistijono, E, Widanto, Normahayu, I

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International Task Force on Volunteer Cleft Missions von Yeow, Vincent K L, Lee, Seng-Teik T, Lambrecht, Thomas J, Barnett, John, Gorney, Mark, Hardjowasito, Widanto, Lemperle, Gottfried, McComb, Harold, Natsume, Nagato, Stranc, Mirek, Wilson, Libby

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Urinary iodine excretion is the most appropriate outcome indicator for iodine deficiency and field conditions at district level von Pardede, L.V.H, Hardjowasito, W, Gross, R, Dillon, D.H.S, Totoprajogo, O.S, Yosoprawoto, M, Waskito, L, Untoro, J

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Urinary Iodine Excretion Is the Most Appropriate Outcome Indicator for Iodine Deficiency at Field Conditions at District Level12 von Pardede, Lucia V.H., Hardjowasito, Widanto, Gross, Rainer, Dillon, Drupadi H.S., Totoprajogo, Ongko S., Yosoprawoto, Mardhani, Waskito, Lies, Untoro, Juliawati

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Identification of point mutations in Glucose-6-Phosphate Dehydrogenase gene in Timor Island people : A preliminary report von Hardjowasito, Widanto, Pardjianto, Bambang, Fitri, Loeki E., Ys, Mardhani, M., Loekito R., Shirakawa, Taku, Nishiyama, Kaoru, Matsuo, Masafumi

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