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    Hangzhou Dianzi University Reports Findings in Rheumatoid Arthritis (Eco-Friendl y Nanotechnology in Rheumatoid Arthritis: ANFIS-XGBoost Enhanced Layered Nanomat erials)

    57-58页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; New research on Autoimmune Diseases and Condition s - Rheumatoid Arthritis is the subjectof a report. According to news originati ng from Hangzhou, People’s Republic of China, by NewsRxcorrespondents, research stated, “Rheumatoid arthritis (RA) is a chronic autoimmune disorder characterized by inflammation and pain in the joints, which can lead to joint damage and di sability over time.Nanotechnology in RA treatment involves using nano-scale mat erials to improve drug delivery efficiency,specifically targeting inflamed tiss ues and minimizing side effects.”

    Study Results from Beibu Gulf University Provide New Insights into Machine Learn ing (Use of interpretable machine learning for understanding ecosystem service t rade-offs and their driving mechanisms in karst peak-cluster depression basin, China)

    58-59页
    查看更多>>摘要:Study Results from Beibu Gulf University Provide New Insights intoMachine Learn ing (Use of interpretable machine learning for understandingecosystem service t rade-offs and their driving mechanismsin karst peak-cluster depression basin, China)

    New Robotics Findings from University of Augsburg Described (Social robots as sk illed ignorant peers for supporting learning)

    59-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New study results on robotics have bee n published. According to news reporting fromAugsburg, Germany, by NewsRx journ alists, research stated, “When designing social robots for educationalsettings, there is often an emphasis on domain knowledge. This presents challenges: 1) Ei ther robotsmust autonomously acquire domain knowledge, a currently unsolved pro blem in HRI, or 2) the designersprovide this knowledge implying re-programming the robot for new contexts.”

    Investigators at Xidian University Report Findings in Artificial Intelligence (A I Meets Physics: a Comprehensive Survey)

    60-60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 Artificial In telligence have been published. According to newsreporting originating from Xi’ an, People’s Republic of China, by NewsRx correspondents, research stated,“Unco vering the mechanisms of physics is driving a new paradigm in artificial intelli gence (AI) discovery.Today, physics has enabled us to understand the AI paradig m in a wide range of matter, energy, andspace-time scales through data, knowled ge, priors, and laws.”

    Icahn School of Medicine at Mount Sinai Reports Findings in Machine Learning [Traditional Machine Learning, Deep Learning, and BERT (Large Language Model) App roaches for Predicting Hospitalizations From Nurse Triage Notes: Comparative Eva luation …]

    61-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New research on Machine Learning is th e subject of a report. According to newsreporting from New York City, New York, by NewsRx journalists, research stated, “Predicting hospitalizationfrom nurse triage notes has the potential to augment care. However, there needs to be caref ulconsiderations for which models to choose for this goal.”

    Study Findings from Central Iron and Steel Research Institute Broaden Understand ing of Machine Learning (Machine-Learning-Assisted Composition Design for High-Y ield-Strength TWIP Steel)

    62-62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 artificial in telligence have been published. According to newsreporting from Beijing, People ’s Republic of China, by NewsRx journalists, research stated, “Twinninginducedplasticity (TWIP) steel is an ideal material for impact-resistant structures and energy absorptionbecause of its high product of strength and elongation.”Financial supporters for this research include Program of The Central Iron And S teel Research Institute,Research And Development Special Fund.

    Investigators at Auburn University Report Findings in Machine Learning (A Compre hensive Study On the Effects of Surface Postprocessing On Fatigue Performance o f Additively ManufacturedAlsi10mg: an Augmented Machine Learning Perspective On …)

    63-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; New research on Machine Learning is th e subject of a report. According to newsreporting originating from Auburn, Alab ama, by NewsRx correspondents, research stated, “In this study,the efficacy of 21 distinct surface post-processing methods on the fatigue behavior of an additi vely manufactured(AM) material was investigated. Various treatments, encompassi ng single-step processes like sandblasting (SB), conventional shot peening (CSP ), severe shot peening (SSP), gradient severe shot peening(GSSP), ultrasonic sh ot peening (USP), severe vibratory peening (SVP), ultrasonic nanocrystal surfacemodification (UNSM), laser shock peening (LSP), laser polishing (LP), tumble fi nishing (TF), chemicalpolishing (CP), electrochemical polishing (ECP), and mach ining (M), as well as hybrid treatments, weresystematically investigated for th eir impact on the fatigue behavior of hourglass laser powder based fused(LB-PBF ) AlSi10Mg specimens.”

    Data on Robotics Reported by Researchers at Case Western Reserve University (Fre e-space Dynamic Modeling of an Mri-actuated Robotic Catheter)

    64-65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 Robotics have been published. According to news reportingout of Cleveland, Ohio, by NewsRx e ditors, research stated, “In this article, we present the free-spacedynamic mod eling of a novel magnetic resonance imaging (MRI)-actuated robotic catheter. The MRIactuatedrobotic catheter is modeled as a series of rigid and flexible segm ents, where the rigid segmentsare embedded with a set of current-carrying micro -coils.”Financial supporters for this research include National Science Foundation (NSF) , National Institutesof Health (NIH) - USA.

    Research Conducted at China West Normal University Has Provided New Information about Machine Learning (An Ovr-fwp-rf Machine Learning Algorithm for Identificat ion of Abandoned Farmland In Hilly Areas Using Multispectral Remote Sensing Data )

    65-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews ; Investigators discuss new findings in Machine Lea rning. According to news reporting out ofNanchong, People’s Republic of China, by NewsRx editors, research stated, “Serious farmland abandonmentin hilly areas , and the resolution of commonly used satellite-borne remote sensing images are insufficient tomeet the needs of identifying abandoned farmland in such regions . Furthermore, addressing the problemof identifying abandoned farmland in hilly areas with a certain level of accuracy is a crucial issue in theresearch of ex tracting information on abandoned farmland patches from remote sensing images.”Funders for this research include National Social Science Fund of China, Startup Project of DoctoralResearch by China West Normal University.

    Researchers at Virtual University of Pakistan Have Published New Data on Machine Learning (Illuminating the Future: A Comprehensive Review of AI-Based Solar Irr adiance Prediction Models)

    66-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News ; Investigators discuss new findings in artificial intelligence. According to news reportingfrom Lahore, Pakistan, by N ewsRx journalists, research stated, “Meeting the energy needs of a growingpopul ation is of paramount importance in today’s society. The use of renewable energy sources, especiallysolar energy, can help reduce greenhouse gas emissions from traditional sources.”Funders for this research include Deanship of Research And Graduate Studies At K ing Khalid University,Saudi Arabia, Through The Small Group Research.