Accurately identifying positive and negative regulation of apoptosis using fusion features and machine learning methods.

Apoptotic proteins play a crucial role in the apoptosis process, ensuring a balance between cell proliferation and death. Thus, further elucidating the regulatory mechanisms of apoptosis will enhance our understanding of their functions. However, the development of computational methods to accurately identify positive and negative regulation of apoptosis remains a significant challenge. This work proposes a machine learning model based on multi-feature fusion to effectively identify the roles of positive and negative regulation of apoptosis. Initially, we constructed a reliable benchmark dataset containing 200 positive regulation of apoptosis and 241 negative regulation of apoptosis proteins. Subsequently, we developed a classifier that combines the support vector machine (SVM) with pseudo composition of k-spaced amino acid pairs (PseCKSAAP), composition transition distribution (CTD), dipeptide deviation from expected mean (DDE), and PSSM-composition to identify these proteins. Analysis of variance (ANOVA) was employed to select optimized features that could yield the maximum prediction performance. Evaluating the proposed model on independent data revealed and achieved an accuracy of 0.781 with an AUROC of 0.837, demonstrating our model's potent capabilities.

[Study on thulium oxide nanoparticles modulating electro-optics characteristics of polymer dispersed liquid crystals].

By adding the thulium oxide nanoparticles (NP) of Gd2 O3 and Eu2O3 and Nd2O3 to polymer dispersed liquid crystals (PDLC), and the transmittances of PDLC and NP-PDLC changing with voltage in visible light was tested, and the thulium oxide modulation for PDLC was studied. The results show that transmittance of Gd2O3-NP-PDLC decreases with increasing voltage when the voltage is less than 10 V. The relaxation phenomenon of the sample appears at 15 V, and its transmittance curve fluctuates slightly around that at 10 V. The transmittance of Gd2O3-NP-PDLC increases rapidly at 20 V, and its filter phenomenon emerges. And the transmittance of Eu2O3-NP-PDLC decreases with increasing voltage, but the decrease is only slight. And the transmittance of Nd2O3-NP-PDLC changes with voltage insignificantly.

Tetragonal distortions of some tetragonal Cr3+ centers in fluoroperovskite ABF3 crystals.

The tetragonal distortions [characterized by the displacement DeltaR of the F(-) ion intervening in Cr(3+) and V(B) (B(2+) vacancy) or M(+) ion in B(2+) site] for Cr(3+)-V(B) and Cr(3+)-Li(+) centers in Cr(3+)-doped fluoroperovskites KBF(3) (B=Mg, Zn) and ACdF(3) (A=K, Rb, Cs) and also for Cr(3+)-Na(+) center in KZnF(3) have been studied by calculating the EPR parameters D, g(parallel) and g(perpendicular) from the crystal-field theory. From the studies, an interesting trend is suggested, i.e., when the size of the co-doped monovalent impurity M(+) in the nearest neighbor B(2+) site is comparable to that of the replaced B(2+) ion, the displacement DeltaR of the intervening F(-) ion in Cr(3+)-M(+) center is smaller than that in Cr(3+)-V(B) center and if the M(+) iron is much smaller or much larger than that of the replaced B(2+) ion, the displacement DeltaR in Cr(3+)-M(+) center is greater than that in Cr(3+)-V(B) center. The causes of the trend are discussed.