Intriguing magnetic and electronic behaviors in La and Ru doped Sr2IrO4.

We report a detailed experimental study of the structural, magnetic and electrical properties of La and Ru doped (Sr1-x Lax)2Ir1-xRuxO4 (x= 0.05, 0.15).

Advancing Periodontal Care: Development of a Novel Collagen-Chitosan-Bioglass Scaffold as a Substitute for Autologous Soft Tissue Grafts.

Introduction Modern dentistry prioritizes aesthetic outcomes, making root coverage for gingival recession a key focus. Various approaches, including autologous grafts, address this issue, yet no substitute matches the properties of autogenous connective tissue grafts. The innovative collagen-chitosan-bioglass scaffold presents a promising solution, surpassing the limitations of the traditional methods.

DRN-CDR: A cancer drug response prediction model using multi-omics and drug features.

Cancer drug response (CDR) prediction is an important area of research that aims to personalize cancer therapy, optimizing treatment plans for maximum effectiveness while minimizing potential negative effects. Despite the advancements in Deep learning techniques, the effective integration of multi-omics data for drug response prediction remains challenging. In this paper, a regression method using Deep ResNet for CDR (DRN-CDR) prediction is proposed.

TransNeT-CGP: A cluster-based comorbid gene prioritization by integrating transcriptomics and network-topological features.

The local disruptions caused by the genes of one disease can influence the pathways associated with the other diseases resulting in comorbidity. For gene therapies, it is necessary to prioritize the key genes that regulate common biological mechanisms to tackle the issues caused by overlapping diseases. This work proposes a clustering-based computational approach for prioritising the comorbid genes within the overlapping disease modules by analyzing Protein-Protein Interaction networks.

Pioneering superior efficiency in Methylene blue and Rhodamine b dye degradation under solar light irradiation using CeO/CoO/g-CN ternary photocatalysts.

In this research work, we have successfully synthesized the CeO/CoO/g-CN ternary nanocomposite for hydrothermal method for photocatalytic applications. The synthesized nanocomposites were characterized using X-ray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, Field emission scanning electron microscopy (FE-SEM), Transmission electron microscopy TEM, Photoluminescent spectra (PL), X-ray photoelectron spectroscopy (XPS), Brunauer- Emmett-Teller (BET) and Ultraviolet diffuse reflectance spectroscopy (UV-DRS) technique. As per the optical spectroscopic investigations CeO/CoO/g-CN ternary nanocomposite exhibited the high optical absorption range and its band gap is reduced from 2.