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    Third Hospital of Hebei Medical University Reports Findings in Heart Failure (Pr edictive modeling of preoperative acute heart failure in older adults with hyper tension: a dual perspective of SHAP values and interaction analysis)

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Heart Disorders and Di seases - Heart Failure is the subject ofa report. According to news reporting o ut of Hebei, People’s Republic of China, by NewsRx editors,research stated, “In older adults with hypertension, hip fractures accompanied by preoperative acute heartfailure significantly elevate surgical risks and adverse outcomes, necess itating timely identification andmanagement to improve patient outcomes. This s tudy aims to enhance the early recognition of acuteheart failure in older hyper tensive adults prior to hip fracture surgery by developing a predictive modelus ing logistic regression (LR) and machine learning methods, optimizing preoperati ve assessment andmanagement.”

    Studies from University of Malaya Describe New Findings in Machine Learning (Inv estigating the Importance of Hyperboles To Detect Sarcasm Using Machine Learning )

    2-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - A new study on Machine Learning is now available. According to news reporting fromKuala Lumpur, Malaysia, by NewsRx j ournalists, research stated, “The present study aims to improvesarcasm detectio n mechanisms using multiple hyperboles such as interjection, intensifiers, capit al letters,punctuation, and elongated words. A non-bias dataset consisting of t he current pandemic related hashtagswas used, namely #Chinesevirus and #Kungflu.”

    New Findings in Robotics Described from Anhui University (Robust Adaptive Asymme tric State Constraint Control of Brush Dc Motor Systems Driving a One-link Robot Manipulator: a Feasibilitycondition-free Method)

    3-3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. According to news reporting from Hefei,People’s Republic of China, by N ewsRx journalists, research stated, “In this paper, we investigate thetracking control problem for a class of brush direct current (DC) motor systems driving a one-link robotmanipulator subject to asymmetric full-state constraints. By con structing a state-dependent nonlineartransformation function (NTF), we present an adaptive robust dynamic surface control (DSC) strategythat can directly addr ess both symmetric and asymmetric state constraints, so that there is no need toconvert the problem of state constraint into the constraints on tracking errors as necessitated by the BarrierLyapunov Function (BLF)-based existing works.”

    Research Data from Khalifa University Update Understanding of Robotics (Inverse Dynamics Modeling as a State Estimation Aid for Underwater Robots Navigation)

    3-4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 new report. According to news reporting out of Abu Dhabi, United Arab Emi rates, by NewsRx editors, research stated, “Reliable navigation andlocalization systems are crucial for Autonomous Underwater Vehicles (AUVs).”Funders for this research include Project “hsurf: Underwater Heterogeneous Swarm of Robots,”; TechnologyInnovation Institute, United Arab Emirates, And Develop ed With Khalifa University.

    Tianjin University Reports Findings in Depression (Regional Structural-Functiona l Connectivity Coupling in Major Depressive Disorder Is Associated With Neurotra nsmitter and Genetic Profiles)

    4-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Mental Health Diseases and Conditions - Depression is the subject ofa report. According to news repor ting originating from Tianjin, People’s Republic of China, by NewsRxcorresponde nts, research stated, “Abnormalities in structural-functional connectivity (SC-F C) couplinghave been identified globally in patients with major depressive diso rder (MDD). However, investigationshave neglected the variability and hierarchi cal distribution of these abnormalities across different brainregions.”

    Zhejiang University Reports Findings in Machine Learning (StaPep: An Open-Source Toolkit for Structure Prediction, Feature Extraction, and Rational Design of Hy drocarbon-Stapled Peptides)

    5-6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 in Hangzhou, Peop le’s Republic of China, by NewsRx journalists, research stated,“All-hydrocarbon stapled peptides, with their covalent side-chain constraints, provide enhanced proteolyticstability and membrane permeability, making them superior to linear peptides. However, tools for extractingstructural and physicochemical descripto rs to predict the properties of hydrocarbon-stapled peptides arelacking.”

    Study Results from Tsinghua University Update Understanding of Robotics and Auto mation (Instancevo: Self-supervised Semantic Visual Odometry By Using Metric Lea rning To Incorporate Geometrical Priors In Instance Objects)

    6-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on Robotics - Robotics a nd Automation have been presented. Accordingto news reporting out of Beijing, P eople’s Republic of China, by NewsRx editors, research stated, “Visualodometry is one of the key technologies for unmanned ground vehicles. To improve the robu stness of thesystems and enable intelligent tasks, researchers introduced learn ing-based recognition modules into visualodometry systems, but didn’t realize t ight coupling between visual odometry systems and recognitionmodules.”

    Istituto Nazionale di Geofisica e Vulcanologia Researcher Updates Current Data o n Machine Learning (Machine Learning Insights into the Last 400 Years of Etna La teral Eruptions from Historical Volcanological Data)

    7-8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 news reportingout of Catania, Italy, by Ne wsRx editors, research stated, “Volcanic hazard assessment is generally basedon past eruptive behavior, assuming that previous activity is representative of fu ture activity.”

    Reports Summarize Artificial Intelligence Study Results from Nanjing University of Chinese Medicine (Unveiling Ethical Ai: an Indepth Bibliometric and Visual E xploration)

    8-9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 Ar tificial Intelligence. According to news reportingoriginating in Nanjing, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Thisstudy metic ulously delineates the research progression, focal points, developmental path an d emergentevolutionary trajectories of computational intelligence within the do main of ethics. A comprehensive quantitativereport, embodying bibliometric prin ciples, was prepared using the Web of Science Core Collectiondatabase.”

    Instituto Colombiano de Medicina Tropical-Universidad CES Reports Findings in Le prosy (Evaluating Advanced Machine Learning Models for Histopathological Diagnos is of Hansen Disease)

    9-10页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Infectious Diseases an d Conditions - Leprosy is the subject ofa report. According to news originating from Medellin, Colombia, by NewsRx correspondents, researchstated, “Leprosy is a neglected infectious disease caused by Mycobacterium leprae and Mycobacteriumlepromatosis and remains a public health challenge in tropical regions. Therefo re, the development oftechnological tools such as machine learning (ML) offers an opportunity to innovate strategies for improvingthe diagnosis of this comple x disease.”