Advanced MASnI and PTAA-Integrated ZnO Perovskite Composite: Optimizing Stability and Charge Dynamics for Next-Gen Photobatteries.

To advance off-grid energy solutions, developing flexible photobatteries capable of direct light charging is essential. This study presents an innovative photobattery architecture that incorporates zinc oxide (ZnO) as an electron-transporting and hole-blocking layer, combined with a hybrid methylammonium tin iodide composite with poly-triarylamine (MASnI/PTAA) for light absorption and hole transport. PTAA facilitates efficient hole transport to the anode, thereby enhancing charge separation and reducing recombination losses.

Deciphering genomic basis of unique adaptation of Ladakhi cattle to Trans-Himalayan high-altitude region of Leh-Ladakh in India.

In this study, whole genome sequence data of Ladakhi cattle from high altitude region of Leh-Ladakh and Sahiwal cattle from arid, semi-arid tropical region were compared. To gain a deeper understanding of the selective footprints in the genomes of Ladakhi and Sahiwal cattle, two strategies namely run of homozygosity (ROH), and fixation index (F) were employed. A total of 975 and 1189 ROH regions were identified in Ladakhi and Sahiwal cattle, respectively.

Green Synthesis of Silver-Doped ZnO Nanoparticles From Adiantum venustum D. Don (Pteridaceae): Antimicrobial and Antioxidant Evaluation.

One of the main difficulties in nanotechnology is the development of an environmentally friendly, successful method of producing nanoparticles from biological sources. Silver-doped zinc oxide nanoparticles (Ag-ZnO NPs), with antibacterial and antioxidant properties, were produced using Adiantum venustum extract as a green technique. Fresh A.

Integrating machine learning and structure-based approaches for repurposing potent tyrosine protein kinase Src inhibitors to treat inflammatory disorders.

Tyrosine-protein kinase Src plays a key role in cell proliferation and growth under favorable conditions, but its overexpression and genetic mutations can lead to the progression of various inflammatory diseases. Due to the specificity and selectivity problems of previously discovered inhibitors like dasatinib and bosutinib, we employed an integrated machine learning and structure-based drug repurposing strategy to find novel, targeted, and non-toxic Src kinase inhibitors. Different machine learning models including random forest (RF), k-nearest neighbors (K-NN), decision tree, and support vector machine (SVM), were trained using already available bioactivity data of Src kinase targeting compounds.

The Haemagglutinin Gene of Bovine-Origin H5N1 Influenza Viruses Currently Retains Receptor-binding and pH-fusion Characteristics of Avian Host Phenotype.

Clade 2.3.4.