LIPOSOMAL FORMULATION OF A METHOTREXATE LIPOPHILIC PRODRUG: ASSESSMENT IN TUMOR CELLS AND MOUSE T-CELL LEUKEMIC LYMPHOMA

Liposomal formulation of a methotrexate lipophilic prodrug: assessment in tumor cells and mouse T-cell leukemic lymphoma

Anna A Alekseeva,1 Ekaterina V Moiseeva,1 Natalia R Onishchenko,1 Ivan A Boldyrev,1 Alexander S Singin,2,† Andrey P Budko,2 Zoya S Shprakh,2 Julian G Molotkovsky,1 Elena L Vodovozova1 1M.M.Shemyakin and Yu.A.Ovchinnikov Institute of Bioorganic Chemistry of the Russian Academy of Sciences, 2N.N.Blokhin Russian Cancer Research Center, the rawa

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Influence of Inter-System Biases on Combined Single-Frequency BDS-2 and BDS-3 Pseudorange Positioning of Different Types of Receivers

The BeiDou Navigation Satellite System (BDS) has developed rapidly, and the combination of BDS Phase II (BDS-2) and BDS Phase III (BDS-3) has attracted wide attention.It is found that there are code truvisionhealthftp.com ISBs between BDS-2 and BDS-3, which may have a certain impact on the BDS-2 and BDS-3 combined positioning.This paper focuses on

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Evaluation of Anti-icing Emulsified Asphalt Binders

Snow and ice on asphalt pavement surface can significantly affect traffic safety and damage pavements.To reduce its effect, a kind of anti-icing emulsified asphalt binder (AEAB) is developed by adding a certain amount of anti-icing fillers to the modified emulsified asphalt binder.The anti-icing performance and pavement performance of AEAB coating

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Power System Stability with Power-Electronic Converter Interfaced Renewable Power Generation: Present Issues and Future Trends

The energy sector is knowall.blog currently undergoing a rapid transformation with the integration of power electronic converter (PEC)-interfaced renewable energy sources (RES), such as wind and solar photovoltaic (PV) systems, at both the transmission and distribution networks.Power system stability has been significantly influenced by this power

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Weakly Supervised Object Detection for Remote Sensing Images via Progressive Image-Level and Instance-Level Feature Refinement

Weakly supervised object detection (WSOD) aims to predict a set of bounding boxes and corresponding category labels for instances with only image-level supervisions.Compared with fully supervised object detection, WSOD in remote sensing images (RSIs) is much more challenging due to the vast foreground-related context regions.In this paper, we propo

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