Author: admin

Continue Reading

  • 3D Printing of glasses with tunable UV–VIS–IR photoluminescence via low-temperature nanoscale engineering

  • Li, Z. et al. One-photon three-dimensional printed fused silica glass with sub-micron features. Nat. Commun. 15, 2689 (2024).

    Google Scholar 

  • Bauer, J., Crook, C. & Baldacchini, T. A sinterless,…

  • Continue Reading

  • Quantifying biases in reconstructed brain networks

  • Sporns, O., Chialvo, D. R., Kaiser, M. & Hilgetag, C. C. Organization, development and function of complex brain networks. Trends Cogn. Sci. 8, 418–425 (2004).

    Google Scholar 

  • Bullmore, E. T. & Bassett, D….

  • Continue Reading

  • Dynamic pricing scheme for energy balancing in microgrid using an intelligent system

  • Vardhan, S. & B. V., A. Swain, M. Khedkar, I. Srivastava, and N. D. Bokde,. An overview of Indian power sector and its energy management. Renewable Energy Focus 50, 100597. https://doi.org/10.1016/j.ref.2024.100597 (2024).

  • Continue Reading

  • The negative impact of neurodevelopmental disorders and multiple co-occurring conditions on academic performance of school-age children and adolescents

    The negative impact of neurodevelopmental disorders and multiple co-occurring conditions on academic performance of school-age children and adolescents

    The current research examined the associations between specific ND – including ID, communication disorders, ASD, ADHD, SLD, and motor disorders – and academic performance across multiple dimensions in 9018 Spanish students, when controlling…

    Continue Reading

  • Extrapolation of seismic land streamer data using interferometry

    Extrapolation of seismic land streamer data using interferometry

    Appendix 1: Random error test using a simple two-layer model

    To isolate and understand the effect of random errors in traveltime picking on the LS-ESVI extrapolation process, we designed a controlled test using an intentionally simple synthetic…

    Continue Reading

  • Physical neural networks using sharpness-aware training

  • LeCun, Y., Bengio, Y. & Hinton, G. Deep learning. Nature 521, 436–444 (2015).

    Google Scholar 

  • Rumelhart, D. E., Hinton, G. E. & Williams, R. J. Learning representations by back-propagating errors. Nature

  • Continue Reading

  • Deep visual detection system for oral squamous cell carcinoma

  • Shabir, A. et al. LWFDTL: lightweight fusion deep transfer learning for oral Squamous cell Carcinoma diagnosis using Histopathological oral Mucosa. Multimed. Tools Appl. 84, 30359–30383 (2025).

    Google Scholar 

  • Continue Reading

  • On the use and misuse of pangenome and related terms

    On the use and misuse of pangenome and related terms

    Continue Reading

  • Comparative impact of polystyrene, rice bag-derived high-density polyethylene nanoparticles, and polystyrene–silver nanoparticle interactions in a 28-day in vivo study in male and female Wistar rats

  • Dey, S., Veerendra, G. T. N., Babu, P. S. S. A., Manoj, A. V. P. & Nagarjuna, K. Degradation of plastics waste and its effects on biological ecosystems: a scientific analysis and comprehensive review. Biomed. Mater. Dev. 2 70–112.

  • Continue Reading