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    Research Conducted at Zhejiang University Has Updated Our Knowledge about Machine Learning (Machine Learning for Revealing the Relationship Between the Process- structure-properties of Polypropylene In-reactor Alloys)

    29-30页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting out of Zhejiang, People’s Republic of China, by NewsRx editors, research stated, “Polypropylene in-reactor alloys p resent a complex structure influenced by diverse polymerization process paramete rs, posing challenges for traditional analysis methods in establishing a quantit ative relationship between process conditions, alloy structures and mechanical p roperties. To address this issue, a series of polypropylene/poly(ethylene-co-pro pylene) alloys with varied structures were synthesized by gas-phase polymerizati on.”

    Universite Paris Cite Reports Findings in Personalized Medicine (Do machine learning methods lead to similar individualized treatment rules? A comparison study on real data)

    30-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Drugs and Therapies - Personalized Medicine is the subject of a report. According to news reporting ou t of Paris, France, by NewsRx editors, research stated, “Identifying patients wh o benefit from a treatment is a key aspect of personalized medicine, which allow s the development of individualized treatment rules (ITRs). Many machine learnin g methods have been proposed to create such rules.”

    Findings from Southern Illinois University Provide New Insights into Robotics (Gait Factor on the Energy Harvesting for a Simple Biped Robot)

    31-31页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on robotics have been published. According to news originating from Edwardsville, Illinois, by N ewsRx correspondents, research stated, “To design walk-fast and energyefficient robots, there has been lots of work in the last decade examining the locomotion dynamics of a passive biped.”

    Eberhard Karls University Tuebingen Reports Findings in Heart Disease (Machine learning insights into thrombo-ischemic risks and bleeding events through platelet lysophospholipids and acylcarnitine species)

    32-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Heart Disorders and Di seases - Heart Disease is the subject of a report. According to news originating from Tubingen, Germany, by NewsRx correspondents, research stated, “Coronary ar tery disease (CAD) often leads to adverse events resulting in significant diseas e burdens. Underlying risk factors often remain inapparent prior to disease inci dence and the cardiovascular (CV) risk is not exclusively explained by tradition alrisk factors.”

    Yunnan Academy of Agricultural Sciences Reports Findings in Machine Learning (Development of machine learning models using multi-source data for geographical traceability and content prediction of Eucommia ulmoides leaves)

    33-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news reporting from Kunming, People’s Republ ic of China, by NewsRx journalists, research stated, “Rapid and scientific quali ty evaluation is a hot topic in the research of food and medicinal plants. With the increasing popularity of derivative products from Eucommia ulmoides leaves, quality and safety have attracted public attention.”

    Studies from University of Saskatchewan in the Area of Machine Learning Described (A Novel Machine Learning Framework for Designing High-performance Catalysts for Production of Clean Liquid Fuels Through Fischer-tropsch Synthesis)

    34-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators discuss new findings in Machine Learning. According to news reporting from Saskatoon, Canada, by NewsRx journalists, research stated, “Fischer-Tropsch synthesis (FTS) attracts great in terest as a sustainable route for production of sustainable transportation fuels . Catalyst design and operational conditions tune the selectivity of FTS to liquid fuels, which can be predicted with machine learning models (ML).”

    New Findings from University of Warwick in Machine Learning Provides New Insights (Economic Risk Assessment of Future Debris Flows By Machine Learning Method)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating from Coventry, United Kingdom, by NewsRx correspondents, research stated, “A reliable economic risk map is cr itical for effective debris-flow mitigation. However, the uncertainties surround ing future scenarios in debris-flow frequency and magnitude restrict its application.”

    New Robotics Data Have Been Reported by Researchers at Northeastern University ( Design and Control of a Multi-locomotion Parallel-legged Bipedal Robot)

    35-35页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Robotics have been publi shed. According to news reporting out of Shenyang, People’s Republic of China, b y NewsRx editors, research stated, “This article mainly introduces a dynamically stabilized and balanced point-footed bipedal robot, which we named MPLBR (Multi - locomotion Parallel-Legged Bipedal Robot).”

    Investigators at China University of Petroleum (East China) Report Findings in Robotics (Large Deformation Analysis of the Magnetoresponsive Beam and Its Applications In Flexible Grippers and Robots)

    37-38页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Robotics have been published. According to news reporting originating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “Due to their supe rior biocompatibility, flexibility and control strategy compared to the traditio nal robots, soft robots have been widely used in a wide spectrum of engineering areas, such as biomedical, exploration, aerospace, intelligent devices and other fields. However, the existing soft robot structures mainly focus on employing h omogeneous materials, which greatly limits the design flexibilities of softrobots, and correspondingly, the existing theories are usually invalid for calculati ng heterogeneous large deformation beam models.”

    Researchers from National Autonomous University of Mexico (UNAM) Provide Details of New Studies and Findings in the Area of Artificial Intelligence (Evaluating Chatgpt-generated Linear Algebra Formative Assessments)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Fresh data on Machine Learning - Artificial Intel ligence are presented in a new report. According to news originating from Mexico City, Mexico, by NewsRx correspondents, research stated, “This research explore d Large Language Models potential uses on formative assessment for mathematical problem -solving process. The study provides a conceptual analysis of feedback and how the use of these models is related in the context of formative assessment for Linear Algebra problems.”