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Comparative valorization of olive pomace <i>via</i> ZnCl<sub>2</sub> and H<sub>3</sub>PO<sub>4</sub> activation: toward high-performance adsorbents for phenol removal. [PDF]
RSC AdvDjemmali B +8 more
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Asymptomatic third molars; To remove or not to remove?
Nederlands Tijdschrift voor Tandheelkunde, 2020Three adult patients, ages 28 (female), 36 (male) and 53 (male), respectively, were referred by their dentists to an orofacial surgeon concerning problems with their third molars. With the woman, teeth 38 and 48 were removed. After the removal of tooth 38, a permanent periodontal attachment loss of the adjoining second molar occurred.
H, Ghaeminia +2 more
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Abdominal pregnancy: to remove or not to remove the placenta
Primary Care Update for OB/GYNS, 1998Objective: The deleterious effect of abdominal pregnancy on the mother and fetus is in part related to the morbidity of the surgical interventions utilized in its treatment. The purpose of this study is to review outcome in abdominal pregnancy after surgical intervention.Study Design: Charts of patients diagnosed with abdominal pregnancy at our ...
, Mekki +3 more
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Forearm fracture plates: To remove or not to remove
The Journal of Hand Surgery, 1990Eighty dynamic compression plates used to fix fractures of the radius and/or ulna were removed from 51 of 98 adult patients. Thirty-seven patients had plates removed electively. Fourteen patients had plates removed for clinical reasons. The average time from insertion to removal was 13.6 months, with a range from 4.4 to 36 months.
D A, Labosky, M B, Cermak, C A, Waggy
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2021
The workhorses of CNNs are its filters, located at different layers and tuned to different features. Their responses are combined using weights obtained via network training. Training is aimed at optimal results for the entire training data, e.g., highest average classification accuracy.
Kamila Abdiyeva +2 more
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The workhorses of CNNs are its filters, located at different layers and tuned to different features. Their responses are combined using weights obtained via network training. Training is aimed at optimal results for the entire training data, e.g., highest average classification accuracy.
Kamila Abdiyeva +2 more
openaire +2 more sources