伊兹密尔KâtipÇelebi大学

Eu3+-activated orthorhombic alpha-MoO3 phosphors and Na+/K+ co-doped alpha-MoO3:Eu3+ phosphors were systematically investigated to clarify the effects of activator concentration and alkali-ion co-addition on their structural, photoluminescence, and colorimetric properties. XRD/Rietveld, FTIR, and Raman analyses indicated that the dominant orthorhombic alpha-MoO3 framework was retained after Eu3+ doping and Na+/K+ co-addition, while small dopant-dependent structural and vibrational perturbations were observed. Under 393 nm excitation, all samples exhibited characteristic Eu3+ emission bands, with the dominant red emission arising from the hypersensitive 5D0 -> 7F2transition near 615 nm. The optimum Eu3+ concentration was found to be 1 mol%, above which concentration quenching was mainly attributed to dipole-dipole interaction. Both Na+ and K+ co-doping enhanced the Eu3+ emission up to an optimum alkali content of 3 mol%. At this level, Na+ co-doping produced a 4.31-fold PL enhancement, whereas K+ co-doping yielded a 3.71-fold enhancement relative to the Eu only sample. CIE analysis of the baseline-corrected Eu3+ emission showed deep-red chromaticity for all com-positions (x approximate to 0.660-0.671; dominant wavelength 608-612 nm). The optimum Na+-co-doped sample, which gave the strongest PL enhancement, also exhibited the most red-shifted coordinate (0.6707, 0.3291). Effective emission-based Judd-Ofelt-like and asymmetry analyses indicated that alkali co-addition modifies the average Eu3+ spectroscopic environment and the relative emission-band distribution. These findings show that co-doping with Na+ or K+ tunes the emission intensity while retaining deep-red chromaticity in alpha-MoO3:Eu3+ red phos-phors; however, the observed trends should be interpreted as comparative spectroscopic and colorimetric in-dicators rather than direct proof of specific incorporation sites or charge-compensation mechanisms.

Recent advances in Kolmogorov-Arnold Networks (KANs) have shown strong potential for functional representation learning; however, existing formulations remain limited in their ability to provide explicit geometric interpretability, curvature control, and deformation-aware adaptation for biomedical image analysis. This paper introduces q-FunKAN, a geometry-aware Functional Kolmogorov-Arnold Network that integrates learnable Lupas & cedil; q-B & eacute;zier inner functions and q-Hermite spectral parameterizations within a unified geometric-spectral framework for biomedical image enhancement and segmentation. The central novelty of the proposed model lies in embedding a learnable deformation parameter q into the KAN functional space, enabling curvature-adaptive modulation of local anatomical structures while preserving global smoothness through spectral regularization. The proposed framework combines three complementary mechanisms: B & eacute;zier-based control-point parameterization for interpretable local deformation, q-Hermite spectral expansion for stable global representation, and topology-preserving deformation regularization for anatomically plausible enhancement and segmentation. This design allows q-FunKAN to explicitly balance local boundary precision and global structural consistency, providing a transparent alternative to highly parameterized convolutional and transformer-based models. Extensive experiments on five benchmark MRI datasets, including BRATS 2021, CHAOS, fastMRI, IXI, and a controlled synthetic phantom dataset, demonstrate the effectiveness of the proposed framework. Compared with strong convolutional, transformer-based, restoration-oriented, and KAN-based baselines, q-FunKAN achieves consistent improvements in image fidelity, perceptual quality, and segmentation accuracy, including gains of up to (+1.3) dB PSNR, (+1.0%) Dice, and (-0.004) LPIPS over leading competing models. Ablation studies further confirm that learnable q-adaptivity, B & eacute;zier geometric modeling, Hermite spectral regularization, and Jacobianbased topology preservation make complementary contributions to performance and stability. Qualitative analyses show sharper anatomical boundaries, reduced artifacts, and interpretable q-heatmaps aligned with curvature-sensitive regions. By bridging q-calculus, geometric approximation theory, and functional neural representation learning, q-FunKAN establishes a mathematically grounded, interpretable, and geometry-aware framework for biomedical image enhancement and segmentation.

This study examined remote acculturation gaps among 204 Turkish mother–emerging adult dyads (N = 408; emerging adults: Mage = 21.35, SD = 1.62, 77.3% women; mothers: Mage = 48.27, SD = 5.32; ethnicity: all Turkish). Acculturation gaps were assessed via differences in U.S./Turkish orientation, familism, and gender ideology. Mediation analyses showed that Turkish-orientation gaps were directly associated with higher depressive symptoms in emerging adults. Familism gaps were associated with greater mother–child conflict, which in turn was associated with depression, anxiety, and stress; these indirect associations were significant but modest (β =.07–.09). Gender ideology gaps were associated with greater conflict but not with distress, and U.S.-orientation gaps were associated with neither. Findings highlight intergenerational cultural discrepancies as one correlate of family conflict and psychological distress in a non-migrant, non-Western context.

Tb3+-activated LiCa4O(BO3)(3) (LiCBO) borates are promising phosphors for high-power near-UV LEDs and optical thermometry, but charge imbalance and lattice defects limit their thermal stability and efficiency. This work reports a comprehensive structural-optical study of LiCBO:Tb3+ phosphors with K+/Na+ charge-compensating co-dopants synthesized by combustion reaction. X-ray diffraction and Rietveld refinement show that all compositions remain single-phase LiCBO, with Tb3+ preferentially substituting Ca2+ sites while K+/Na+ ions act as charge compensators, inducing only marginal, monotonic changes in lattice parameters. Multi-model XRD line-broadening analysis reveals that alkali co-doping increases crystallite size from similar to 60 to similar to 90 nm and reduces microstrain and dislocation density, indicating defect suppression through charge-compensated lattice engineering. FTIR/Raman spectroscopy confirms preservation of the mixed BO3/BO4 framework, with subtle band shifts and increased I(BO4)/I(BO3) ratios evidencing local network reorganization rather than phase segregation. Under 377 nm excitation, LiCBO:Tb3+ exhibits intense green D-5(4) -> F-7(5) emission at 542 nm with an optimum Tb3+ content of x = 0.05, above which concentration quenching proceeds via multipolar Tb3+-Tb3+ interactions (R-c approximate to 10.6 & Aring;). K+/Na+ co-doping boosts the green emission by up to similar to 2-2.25 & times; at y = 0.01, mainly by suppressing non-radiative defect channels and tuning local symmetry, as supported by biexponential lifetime shortening and increased Judd-Ofelt Omega(2) parameters. Temperature-dependent PL (300-550 K) demonstrates robust thermal stability, retaining similar to 40-45% of the initial 542 nm intensity at 423-450 K with a single activation energy E-a approximate to 0.33 eV. Finally, a fluorescence intensity ratio thermometer based on the 680/542 nm Tb3+ emissions delivers a maximum relative sensitivity of similar to 1.3% K-1 near 500 K, demonstrating competitive performance among single-center Tb3+-activated phosphors for high-temperature operation. Overall, K+/Na+-assisted charge-compensated lattice engineering is shown to simultaneously enhance green emission efficiency, thermal robustness, and luminescent thermometry performance in LiCBO:Tb3+ phosphors.

Four novel bioactive boron containing compounds (BCCs) were prepared by the reactions of quercetin and various boronic acids using a Dean-Stark technique to remove the H2O formed as a result of the chemical reaction. The antiepileptic properties of the bioactive BCCs also were investigated under suitable conditions. For this aim, the effect of the BCCs on the enzyme activities of carbonic anhydrase I and II isoenzymes (hCA I and hCA II) were evaluated spectrophotometrically. The bioactive BCCs have been investigated for their potential anticancer properties against PC-3, Du-145, and HEK-293 T cell lines utilizing the WST-1 assay method. Notably, the IC50 values of both boron compounds against the healthy control HEK-293 T cells were significantly higher compared to those observed in cancer cells. Lastly, bioactive boron containing compounds were examined through Gaussian calculations employing the B3LYP, HF, and M062X methods on the 6–31 + + g(d,p) basis set. Computational molecular docking was performed on specific proteins and ADME/T calculations were conducted to analyze the effects and interactions of these compounds at human metabolism.