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Geophysical logs can be used not only for qualitative interpretation such as strata correlation but also for geotechnical assessment through quantitative data analysis. In an emerging digital mining age, such a use of geophysical logs helps to establish reliable geological and geotechnical models, which reduces safety and financial risks due to geological and geotechnical uncertainty for new and existing coal mining projects. This paper presents some examples of geological and geotechnical characterizations from geophysical logs at various coal mines in Australia and India. The applications include rock strength and coal quality estimations, automated lithological/geotechnical interpretation and geophysical strata rating, all based on geophysical logs. These derived parameters could provide input to modelling, control, even 'digital twin' generation in a form of geological and geotechnical models as part of the future digital mining. The outcomes can be visualized in 3D space and used for identifying the key geotechnical strata units that are responsible for caving behaviors during longwall mining. This could assist site geologists and planning and production engineers predict and manage mining conditions on an ongoing basis. Both conventional logs such as density, natural gamma and sonic and less common logging data, such as full waveform sonic, televiewer and SIROLOG spectrometric natural gamma logging data are examined for their potential applications. The geotechnical strata classification and rock strengths predicted from the geophysical logs match the laboratory tests, drill core geotechnical strata classification, core photos and the mining condition/behavior observed. These illustrate the usefulness and effectiveness of using geophysical logs for geological and geotechnical characterizations. [ABSTRACT FROM AUTHOR]

Heliothis virescens ascovirus 3a (HvAV-3a), a member of the family Ascoviridae, has the highest diversity among ascovirus spe-cies that have been reported in Australia, Indonesia, China, and the United States. To understand the diversity and origin of this important ascovirus, the complete genome of the HvAV Indonesia strain (HvAV-3g), isolated from Spodoptera exigua, was de-termined to be 199,721 bp, with a G+C content of 45.9%. Therefore, HvAV-3g has the largest genome among the reported asco-virus genomes to date. There are 194 predicted open reading frames (ORFs) encoding proteins of 50 or more amino acid resi-dues. In comparison to HvAV-3e reported from Australia, HvAV-3g has all the ORFs in HvAV-3e with 6 additional ORFs unique to HvAV-3g, including 1 peptidase C26 gene with the highest identity to Drosophila spp. and 2 gas vesicle protein U (GvpU) genes with identities to Bacillus megaterium. The five unique homologous regions (hrs) and 25 baculovirus repeat ORFs (bro) of HvAV-3g are highly variable. [ABSTRACT FROM AUTHOR]

Cooperia spp. are parasitic nematodes parasitizing in small intestine of ruminants with a worldwide distribution. Infection of ruminants with Cooperia species can cause severe enteritis, causing significant socio-economic losses to the livestock industry. However, it is yet to know whether there is genetic diversity in mitochondrial (mt) DNA sequences of Cooperia nematodes from different geographic regions. The objective of the present study was to examine sequence difference in mt genomes between Cooperia sp. from China and other Cooperia species. We determined the sequences of the internal transcribed spacer (ITS-1 and ITS-2) of nuclear ribosomal DNA (rDNA) of 11 Cooperia specimens collected from the small intestine of a Tianzhu White yak in Gansu Province, northwestern China, which had 99% similarity with that of C. oncophora from Brazil (GenBank accession Number: AJ544290) in ITS-1, and 99% similarity with those from Denmark (AB245040), Scotland and Australia (AJ000032) in ITS-2, indicating that specimens used in the present study should at least represent parasites in Cooperia. We then determined the complete mt genome sequences of one representative specimen of Cooperia sp. from China (CspC), compared the mt DNA sequences with that of C. oncophora from Australia (COA, GQ888713), and conducted phylogenetic analysis with selected nematodes using both maximum likelihood (ML) and Bayesian inference (BI) methods based on both concatenated 12 PCGs, rrnL and rrnS sequences and partial cox2 sequences. The complete mt genome sequence of CspC (KY769271) is 13, 583 bp in length, which is 91 bp shorter than that from COA. The sequence difference over the entire mt genome between CspC and COA was 12.2% in nucleotide and 6.3% in inferred amino acids, with nad4L and nad1 being the most variable and the most conserved PCGs, respectively. Phylogenetic analysis indicated that CspC and COA were closely-related but distinct taxa. The determination of mt genome sequences for Cooperia sp. from China also provides novel resources for further studies of taxonomy, systematics and population genetics of Cooperia from different geographical locations., Competing Interests: Declaration of Competing Interest The authors declare that they have no competing interests., (Copyright © 2019 Elsevier B.V. All rights reserved.)