Challenges in data-driven geospatial modeling for environmental research and practice.

Machine learning-based geospatial applications offer unique opportunities for environmental monitoring due to domains and scales adaptability and computational efficiency. However, the specificity of environmental data introduces biases in straightforward implementations. We identify a streamlined pipeline to enhance model accuracy, addressing issues like imbalanced data, spatial autocorrelation, prediction errors, and the nuances of model generalization and uncertainty estimation.

Homoleptic Alkynylpyridinium Au(I) Complexes as Organometallic 'D-π-A' Chromophores.

A series of terminal acetylenes bearing methylpyridinium acceptor group attached to the alkynyl unit with different π-conjugated aromatic linker have been synthetized. These alkynylpyridinium salts are efficient 'push-pull' chromophores demonstrating bright UV-vis fluorescence with quantum yields up to 70 %. The homoleptic bis-alkynyl Au(I) complexes based on these alkynylpyridinium ligands demonstrate complicated photophysical behavior including dual emission in solution.

A Single Image Deep Learning Approach to Restoration of Corrupted Landsat-7 Satellite Images.

Remote sensing is increasingly recognized as a convenient tool with a wide variety of uses in agriculture. Landsat-7 has supplied multi-spectral imagery of the Earth's surface for more than 4 years and has become an important data source for a large number of research and policy-making initiatives. Unfortunately, a scan line corrector (SLC) on Landsat-7 broke down in May 2003, which caused the loss of up to 22 percent of any given scene.

Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches.

Accurate information about growing crops allows for regulating the internal stocks of agricultural products and drawing strategies for negotiating agricultural commodities on financial markets. Machine learning methods are widely implemented for crop type recognition and classification based on satellite images. However, field classification is complicated by class imbalance and aggregation of pixel-wise into field-wise forecasting.

[Coagulological aspects of treatment of complications of prolonged therapy with warfarin].

The authors analysed the results of treating a total of 116 patients (68 men and 48 women aged from 20 to 84 years, mean age 59.5±15.5 years) presenting with various complications of prolonged therapy with warfarin.