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

Objective: To provide an overview of the healthcare and societal consequences and costs of untreated obstructive sleep apnea syndrome.Data sources: PubMed database for English-language studies with no start date restrictions and with an end date of September 2014.Methods: A comprehensive literature review was performed to identify all studies that

Rockslides and rock avalanches are amongst the most destructive here natural hazards in the alpine environment.The Flims rockslide is the largest known rock-slope failure in the Alps, which provides excellent outcrops and has fascinated researchers since the early 20th century.The postulated impact of the Flims rockslide on Lake Bonaduz caused inte

Errors are common and systemic deviations resulting from the canine spectra kc 3 intranasal single dose violation of the rules of the second language.In the present study, lexical errors based on the classification of Dulay, Burt and Krashen of errors (1982) are divided into three categories: intralingual errors, interlingual errors and ambiguous e

Oral mucositis is one of the most frequent complications after chemotherapy or radiotherapy or a combination of both.There is no standard therapy for its prevention or treatment.Considering that some bee products have been found to be of value in this situation, click here we decided to analyze the scientific literature on the subject.Scientific pu