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    Renmin Hospital of Wuhan University Reports Findings in Personalized@@Medicine (S ingle-cell transcriptome analysis identifies subclusters@@and signature with N-gl ycosylation in endometrial cancer)

    92-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting ou t of Hubei, People’s Republic of China, by NewsRx editors,research stated, “End ometrial cancer (EC) is a prevalent gynecologic cancer, with worldwide increasin gincidence and disease-associated mortality. N-glycosylation, a critical post-t ranslational modification, hasbeen implicated in cancer progression and immune response modulation.”

    Renmin Hospital of Wuhan University Reports Findings in Personalized@@Medicine (S ingle-cell transcriptome analysis identifies subclusters@@and signature with N-gl ycosylation in endometrial cancer)

    92-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Drugs and Therapies - Personalized Medicine is the subject of areport. According to news reporting ou t of Hubei, People’s Republic of China, by NewsRx editors,research stated, “End ometrial cancer (EC) is a prevalent gynecologic cancer, with worldwide increasin gincidence and disease-associated mortality. N-glycosylation, a critical post-t ranslational modification, hasbeen implicated in cancer progression and immune response modulation.”

    Researchers from Khon Kaen University Publish Research in Machine@@Learning (BCLH 2Pro: A novel computational tools approach@@for hydrogen production prediction vi a machine learning in biomass@@chemical looping processes)

    93-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsreporting out of Khon Kaen, Thailand, by NewsRx editors, research stated, “This study optimizes biomasschemical loopi ng processes (BCLpro), a technique for converting biomass to energy, through mac hinelearning (ML) for sustainable energy production.”

    Researchers from Khon Kaen University Publish Research in Machine@@Learning (BCLH 2Pro: A novel computational tools approach@@for hydrogen production prediction vi a machine learning in biomass@@chemical looping processes)

    93-93页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on artificial intelligen ce have been presented. According to newsreporting out of Khon Kaen, Thailand, by NewsRx editors, research stated, “This study optimizes biomasschemical loopi ng processes (BCLpro), a technique for converting biomass to energy, through mac hinelearning (ML) for sustainable energy production.”

    Findings from Johns Hopkins University in Machine Learning Reported@@(Kinetic Con sequences of Quasi-harmonic Entropies Calculated@@With Machine Learning Interatom ic Potentials for Microkinetic@@Modeling)

    94-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating in Baltimore, M aryland, by NewsRx journalists, research stated, “Microporouscatalysts are ubiq uitous in chemical processes including sustainable transformations of biobased f eedstocksinto fuels and fine chemicals. The mechanistic insights needed to desi gn next-generation microporouscatalysts can be obtained with ab initio simulati ons coupled with microkinetic modeling, yet active siteconfinement complicates an accurate determination of adsorbate entropies, which, in turn, affect predictions of rate and equilibrium constants.”

    Findings from Johns Hopkins University in Machine Learning Reported@@(Kinetic Con sequences of Quasi-harmonic Entropies Calculated@@With Machine Learning Interatom ic Potentials for Microkinetic@@Modeling)

    94-94页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating in Baltimore, M aryland, by NewsRx journalists, research stated, “Microporouscatalysts are ubiq uitous in chemical processes including sustainable transformations of biobased f eedstocksinto fuels and fine chemicals. The mechanistic insights needed to desi gn next-generation microporouscatalysts can be obtained with ab initio simulati ons coupled with microkinetic modeling, yet active siteconfinement complicates an accurate determination of adsorbate entropies, which, in turn, affect predictions of rate and equilibrium constants.”

    Studies from University of Virginia Have Provided New Information@@about Robotics (Physics-guided Deep Learning Enabled Surrogate@@Modeling for Pneumatic Soft Rob ots)

    95-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating in Charlottesville, Virgi nia, by NewsRx journalists, research stated, “Soft robots, formulated bysoft an d compliant materials, have grown significantly in recent years toward safe and adaptable operationsand interactions with dynamic environments. Modeling the co mplex, nonlinear behaviors and controllingthe deformable structures of soft rob ots present challenges.”

    Studies from University of Virginia Have Provided New Information@@about Robotics (Physics-guided Deep Learning Enabled Surrogate@@Modeling for Pneumatic Soft Rob ots)

    95-95页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics is the subjec t of a report. According to news reportingoriginating in Charlottesville, Virgi nia, by NewsRx journalists, research stated, “Soft robots, formulated bysoft an d compliant materials, have grown significantly in recent years toward safe and adaptable operationsand interactions with dynamic environments. Modeling the co mplex, nonlinear behaviors and controllingthe deformable structures of soft rob ots present challenges.”

    Reports Summarize Robotics and Automation Study Results from@@Beihang University (Safe and Efficient Multi-agent Collision Avoidance@@With Physics-informed Reinfo rcement Learning)

    96-96页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news originating from Beijing, Pe ople’s Republic of China, by NewsRx correspondents, research stated,“Reinforcem ent learning (RL) has shown great promise in addressing multi-agent collision av oidancechallenges. However, existing RL-based methods often suffer from low tra ining efficiency and poor actionsafety.”

    Reports Summarize Robotics and Automation Study Results from@@Beihang University (Safe and Efficient Multi-agent Collision Avoidance@@With Physics-informed Reinfo rcement Learning)

    96-96页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ro botics - Robotics and Automation. Accordingto news originating from Beijing, Pe ople’s Republic of China, by NewsRx correspondents, research stated,“Reinforcem ent learning (RL) has shown great promise in addressing multi-agent collision av oidancechallenges. However, existing RL-based methods often suffer from low tra ining efficiency and poor actionsafety.”