Abstract This paper describes the automatic identification of ivory using Raman spectroscopy data and deep neural network (DNN) models pre-trained on open-source data from inorganic minerals.The proposed approach uses transfer learning (TL) from foundation models trained on a larger inorganic (minerals) spectroscopy dataset (MLROD).The results demo
Solid-state nanopores have become a prominent tool in the field of single-molecule detection.Conventional solid-state nanopores are thick, which affects the spatial resolution of the detection results.Graphene is the thinnest 2D material and has the highest spatial detection resolution.In this study, a graphene membrane chip was fabricated by combi
Leguminous crops are usually sensitive to saline stress GLUCOSAMINE during germination and plant growth stages.The Salt Overly Sensitive (SOS) pathway is one of the key signaling pathways involved in salt translocation and tolerance in plants however, it is obscure in soybean.The current study describes the potential of calcium application on the m
We propose a novel diffusion process having a mean function equal to the Pareto probability density function up to a constant of proportionality.We examine the probabilistic properties of the proposed model.Then, referring to the problem of statistical inference, we describe the approach employed Lower Membrane to tackle the issue of obtaining para