Two-dimensional (2D) multiferroic materials with controllable magnetism have promising prospects in miniaturized quantum device applications, such as high-density data storage and spintronic devices. Here, using first-principles calculations, we propose a coexistence of antiferromagnetism ferroelasticity $MnF_{4}$ monolayer. The monolayer is found to be an intrinsic wide-gap semiconductor large...

Results of high-energy non-resonant magnetic X-ray diffraction experiments performed on the model system MnF 2 at a photon energy of 80 keV are presented. A surprisingly high peak intensity of the magnetic 300 reflection of 13 000 photons s -1 in the three-crystal mode and 19 000 photons s -1 in the two-crystal mode, with a peak-to-background ratio of 230:1 and 10:1, respectively, has been achi...

The U.S. tax law taxes a multinational firm (MNF)’s global incomes at its home country tax rate. To avoid double taxation, it permits tax cross-crediting. Namely, the global firm can use excess foreign tax credits (FTCs) (the portion of foreign tax payments that exceed the home country tax liabilities) generated from a subsidiary located in a high-tax country to offset the tax liabilities of it...

The iteratively reweighted multivariate alteration detection (IR-MAD) algorithm may be used both for unsupervised change detection in multiand hyperspectral remote sensing imagery and for automatic radiometric normalization of multitemporal image sequences. Principal components analysis (PCA), as well as maximum autocorrelation factor (MAF) and minimum noise fraction (MNF) analyses of IR-MAD im...

The study was aimed at evaluating the antioxidant activity of hydroalcoholic solution extracts of Urtica dioica L. (UD), Malva neglecta Wallr. (MN) plants and their mixture. In this study, flower (UDF), root (UDR), seed (UDS) and leaf (UDL) parts of UD and flower (MNF) and leaf (MNL) parts of MN were used. The antioxidant properties of hydroalcoholic extracts and their mixture were evaluated us...

High-resolution urban image clustering has remained a challenging task. This is mainly because its performance strongly depends on the discrimination power of features. Recently, several studies focused unsupervised learning methods by autoencoders to learn and extract more efficient features for purposes. paper proposes Boosted Convolutional AutoEncoder (BCAE) method based feature clustering. ...