WIDE & DEEP LEARNING FOR PREDICTING RELATIVE MINERAL COMPOSITIONS OF SEDIMENT CORES SOLELY BASED ON XRF SCANS, A CASE STUDY FROM PLEISTOCENE PALEOLAKE OLDUVAI, TANZANIA

This study develops a method to use deep learning models to predict the mineral assemblages and their relative abundances in paleolake cores using high-resolution XRF core scan elemental data and X-ray diffraction (XRD) mineralogical results from the same core taken at coarser resolution.It uses the XRF core scan data along with published mineralog

Donald P Tashkin Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA, USACorrespondence: Donald P TashkinDavid Geffen School of Medicine at UCLA, 10388 Le Conte Avenue, Los Angeles, CA 90095, USATel +1 310 825 3163Fax +1 310 206 5088Email dtashkin@mednet.ucla.eduAbstract: Bronchodilators, including long-acting β2-a

Allelopathy has been considered a good explanation for the successful invasion of some invasive plants.However, the real latitudinal and longitudinal allelopathic effects on native species have rarely been documented since many exotics have spread widely.We conducted a Petri dish experiment to determine the latitudinal and longitudinal allelopathic

Background: Equine papillomavirus type 1 (EcPV-1) causes cutaneous papillomatosis in horses, which is characterized by benign, proliferative epithelial lesions.Despite its global presence, the prevalence and characterization of EcPV-1 in Arabian horses in Saudi Arabia have not been previously reported.Aim: This study is the first to identify and co

Verticillium albo-atrum is a phytopathogenic fungus that causes wilt disease Motor Vehicle Frame in a wide range of crops.A proteomic approach is needed to obtain a comprehensive overview of the proteins related to the infection process.We report here on the optimisation of electrophoretic analysis of total proteins of V.albo-atrum in terms Topical