首页期刊导航|Robotics & Machine Learning Daily News
期刊信息/Journal information
Robotics & Machine Learning Daily News
NewsRx
Robotics & Machine Learning Daily News

NewsRx

Robotics & Machine Learning Daily News/Journal Robotics & Machine Learning Daily News
正式出版
收录年代

    Researchers Submit Patent Application, 'Produce Packing Cart', for Approval (USP TO 20240190489)

    212-214页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – From Washington, D.C., NewsRx journalists report that a patent application by the inventor KETTERER, JUSTIN MARCUS (Pittsburgh, P A, US), filed on December 12, 2023, was made available online on June 13, 2024. The patent’s assignee is Four Growers Inc. (Turtle Creek, Pennsylvania, United S tates). News editors obtained the following quote from the background information suppli ed by the inventors: “The increasing human population is causing an increase in the demand for food, much of which is produced by the farming industry. Labor su pply is an ongoing issue in the farming industry. Accordingly, automation soluti ons are being developed to address labor issues within the farming industry incl uding the harvesting and storing of produce.”

    Detection and classification of long terminal repeat sequences in plant LTR-retr otransposons and their analysis using explainable machine learning

    215-215页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: “Background: Long terminal repeats (LTRs) represent important parts of LTR retro transposons and retroviruses found in high copy numbers in a majority of eukaryo tic genomes. LTRs contain regulatory sequences essential for the life cycle of t he retrotransposon. Previous experimental and sequence studies have provided onl y limited information about LTR structure and composition, mostly from model sys tems. To enhance our understanding of these key compounds, we focused on the con trasts between LTRs of various retrotransposon families and other genomic region s.

    Multi-omics analyses and machine learning prediction of oviductal responses in t he presence of gametes and embryos

    216-216页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: “The oviduct is the site of fertilization and preimplantation embryo development in mammals. “Evidence suggests that gametes alter oviductal gene expression.