Directed diffraction without negative refraction

Using the FDTD method, we investigate the electromagnetic propagation in two-dimensional photonic crystals, formed by parallel air cylinders in a dielectric medium. The corresponding frequency band structure is computed using the standard plane-wave expansion method. It is shown that within partial bandgaps, waves tend to bend away from the forbidden directions. This phenomenon perhaps need not be explained in terms of negative refraction or `superlensing' behavior, contrast to what has been conjectured.Comment: 3 pages, 4 figure

Determination of Perpendicular Magnetic Anisotropy in Fe/MgO/Fe Magnetic Tunnel Junction: A DFT-Based Spin-Orbit Torque Approach

In our JunPy package, we have successfully combined the self-consistent Hamiltonian from first-principles calculations with the nonequilibrium Green's function method to calculate the noncollinear spin torque in the nm-scale magnetic heterojunctions. The spin-orbit coupling within the first-principles calculations is included to determine the magnetic anisotropy (MA) of an Fe/MgO/Fe magnetic tunnel junction (MTJ) with a spin-orbit torque (SOT) method. The angular dependence of accumulative SOT indicates the biaxial and uniaxial MA corresponding to the in-plane and out-of-plane rotations of the free magnetization, respectively. Our results agree with the conventional MA energy calculation for a whole MTJ and provide insights into micro-spin dynamics of local magnetic moments.Comment: 11 pages, 4 figure

FMNL1 promotes growth and metastasis of breast cancer by inhibiting BRCA1 via upregulation of HMGA1

In the earlier published article, “Herbei Province” included in the affiliation of the second author is incorrect. “Chongqing” is a municipality directly under the Central Government and does not belong to "Hebei Province”. At the request of the author, the correct affiliation is provided above. New citation: Zhang Q, Yang H, Tang C, Wang Q, Ren L, Jia C, et al. FMNL1 promotes growth and metastasis of breast cancer by inhibiting BRCA1 via upregulation of HMGA1. Trop J Pharm Res 2021; 20(8):1559-1564 doi: 10.4314/tjpr.v20i8.2. Erratum: 2022; 21(8): 1807 doi: 10.4314/ tjpr.v 21i8.31 Earlier citation: Zhang Q, Yang H, Tang C, Wang Q, Ren L, Jia C, et al. FMNL1 promotes growth and metastasis of breast cancer by inhibiting BRCA1 via upregulation of HMGA1. Trop J Pharm Res 2021; 20(8):1559-1564 doi: 10.4314/tjpr.v20i8.

Design and Implementation of a Simulator for Photovoltaic Modules

Proposed in this paper is the development of a photovoltaic module simulator, one capable of running an output characteristic simulation under normal operation according to various electrical parameters specified and exhibiting multiple advantages of being low cost, small sized, and easy to implement. In comparison with commercial simulation tools, Pspice and Solar Pro, the simulator developed demonstrates a comparable I-V as well as a P-V output characteristic curve. In addition, a series-parallel configuration of individual modules constitutes a photovoltaic module array, which turns into a photovoltaic power generation system with an integrated power conditioner

Estimating systemic fibrosis by combining galectin-3 and ST2 provides powerful risk stratification value for patients after acute decompensated heart failure

Background: Two fibrosis biomarkers, galectin-3 (Gal-3) and suppression of tumorigenicity 2 (ST2), provide prognostic value additive to natriuretic peptides and traditional risk factors in patients with heart failure (HF). However, it is to be investigated whether their combined measurement before discharge provides incremental risk stratification for patients after acute HF. Methods: A total of 344 patients with acute HF were analyzed with Gal-3, and ST2 measured. Patients were prospectively followed for 3.7 ± 1.3 years for deaths, and composite events (death/HF-related re-hospitalizations). Results: The levels of Gal-3 and ST2 were only slightly related (r = 0.20, p < 0.001). The medians of Gal-3 and ST2 were 18 ng/mL and 32.4 ng/mL, respectively. These biomarkers compensated each other and characterized patients with different risk factors. According to the cutoff at median values, patients were separated into four subgroups based on high and low Gal-3 (HG and LG, respectively) and ST2 levels (HS and LS, respectively). Kaplan-Meier survival curves showed that HGHS powerfully identified patients at risk of mortality (Log rank = 21.27, p < 0.001). In multivariable analysis, combined log(Gal-3) and log(ST2) was an in­dependent predictor. For composite events, Kaplan-Meier survival curves showed a lower event- -free survival rate in the HGHS subgroup compared to others (Log rank = 34.62, p < 0.001; HGHS vs. HGLS, Log rank = 4.00, p = 0.045). In multivariable analysis, combined log(Gal-3) and log(ST2) was also an independent predictor. Conclusions: Combination of biomarkers involving heterogeneous fibrosis pathways may identify patients with high systemic fibrosis, providing powerful risk stratification value