Publications by authors named "G Alexandrov"

There have been notable changes in precipitation patterns on the Loess Plateau (LP) of China in recent decades, and numerous attribution studies have focused on sea surface temperature anomalies and atmospheric circulation changes induced by aerosols and greenhouse gases emission. However, the influences of global land use and land cover change (LULCC) as an important forcing factor in the climate system on regional precipitation remains poorly understood. In this study, we quantified the impacts of LULCC on precipitation and the water vapor budget in the LP region, utilizing data from LULCC forcing experiments conducted by the sixth phase of the Coupled Model Intercomparison Project (CMIP6).

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Introduction: Amelogenesis imperfecta (AI) refers to a heterogeneous group of conditions with multiple factors which contribute to the hypomineralisation of enamel. Preventive measures are necessary to predict this pathology. Prospects for preventive medicine are closely related to the search for new informative methods for diagnosing a human disease.

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In cases of severely damaged teeth with limited coronal tooth structure and remaining hard dental tissues subgingivally, a custom-made post-and-core restoration is required. Teeth with non-circular canal space also require this type of restoration because the build-up with pre-fabricated posts could lead to thick cement layer. The development of CAD/CAM technologies widens the range of the materials that can be used for prosthetic restorations.

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The prepared heparin-coated iron oxide nanoparticles (Hep-IONPs) contrasted cholangioma tumors in the liver in MRI. The NPs were not toxic to rats and rabbits after 14 days of consecutive IV injections as observed from the monitoring of the body weight and biochemical and hematological parameters. No embryotoxic or immunotoxic side effects of the material were detected.

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The dynamics of soil organic carbon (SOC) play a critical role in modulating global warming. However, the long-term spatiotemporal changes of SOC at large scale, and the impacts of driving forces remain unclear. In this study, we investigated the dynamics of SOC in different soil layers across China through the1980s to 2010s using a machine learning approach and quantified the impacts of the key factors based on factorial simulation experiments.

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