Commissariats of Military Industry during the Great Patriotic War by Yu. V. Il’In

“…The core of the DIC were four industry: Commissariat of Aviation Industry (NCAP), the People’s Commissariat of ammunition (NBC) weapons Commissariat (IEC) and the People's Commissariat of the shipbuilding industry (NCSP), formed in accordance with the Decree of the Presidium of the Supreme Soviet on January 11, 1939 by separation of the People's Commissariat of Defense Industry of the USSR. …”
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A HER2 Specific Nanobody–Drug Conjugate: Site-Selective Bioconjugation and In Vitro Evaluation in Breast Cancer Models by Anders H. Hansen, Kasper I. H. Andersen, Li Xin, Oliver Krigslund, Niels Behrendt, Lars H. Engelholm, Claus H. Bang-Bertelsen, Sanne Schoffelen, Katrine Qvortrup

“…Subsequent site-selective acylation on the C-terminally activated lysine residue allowed installation of the cytotoxin monomethyl auristatin E-functionalized cathepsin B-sensitive payload to provide a highly homogenous nanobody–drug conjugate (NBC), which demonstrated high potency and selectivity for HER2-positive breast cancer models.…”
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Utilizing Machine Learning-based Classification Models for Tracking Air Pollution Sources: A Case Study in Korea by Yelim Choi, Bogyeong Kang, Daekeun Kim

“…Using 972 datasets consisting of five emission sources and 27 air pollutants, different classification models were implemented and subsequently compared: Random Forest (RF), Naïve Bayes Classifier (NBC), Support Vector Machine (SVM), Artificial Neural Network (ANN), and K-Nearest Neighbors (K-NN). …”
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The Effect of Transition Metal Doping on the Photooxidation Process of Titania-Clay Composites by Judit Ménesi, Renáta Kékesi, László Kőrösi, Volker Zöllmer, André Richardt, Imre Dékány

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Hybrid Learning Model for intrusion detection system: A combination of parametric and non-parametric classifiers by C. Rajathi, P. Rukmani

“…The parametric classifiers Logistic Regression (LR), Naïve Bayes Classifier (NBC), Linear Discriminant Analysis (LDA), Quadratic Discriminant Analysis (QDA) and Support Vector Machine with linear kernel (Linear SVM) were used as meta-models. …”
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