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Robotics & Machine Learning Daily News

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    Zhejiang University Reports Findings in Bioinformatics (FANCD2 as a ferroptosis- related target for recurrent implantation failure by integrated bioinformatics and Mendelian randomization analysis)

    29-30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 Biotechnology - Bioinf ormatics is the subject of a report. According to news reporting from Hangzhou, People’s Republic of China, by NewsRx journalists, research stated, “Despite adv ancements in assisted reproductive technology, recurrent implantation failure (R IF) remains a challenge. Endometrial factors, including ferroptosis and immunity , may contribute to this issue.”

    Zhejiang University Reports Findings in Personalized Medicine (Prognostic predic tion of breast cancer patients using machine learning models: a retrospective an alysis)

    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 or iginating in Hangzhou, People’s Republic of China, by NewsRx journalists, resear ch stated, “Breast cancer is a common and complex disease, with various clinical features affecting prognosis. Accurate prediction of prognosis is essential for guiding personalized treatment strategies.”

    Data on Machine Learning Reported by Ling Tang and Colleagues (Comparison of deep and conventional machine learning models for prediction of one supply chain ma nagement distribution cost)

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject of a report. According to news originating from Guangxi, People’s Republic of China, by NewsRx correspondents, research stated, “Strategic supply chain managemen t (SCM) is essential for organizations striving to optimize performance and atta in their goals. Prediction of supply chain management distribution cost (SCMDC) is one branch of SCM and it’s essential for organizations striving to optimize performance and attain their goals.”

    Study Findings from School of Mechanical Engineering Provide New Insights into Support Vector Machines (Optimizing Grinding Parameters for Surface Integrity In Single Crystal Nickel Superalloys Using Svm Modeling)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning - Support Vector Machines. According to news originating from Fus hun, People’s Republic of China, by NewsRx correspondents, research stated, “Thi s research explores the intricate dynamics of machining nickel-based single crys tal superalloys, with a focused examination of the principal parameters influenc ing grinding forces and surface roughness. It marries micro-scale grinding simul ations with sophisticated Support Vector Machine (SVM) modeling in Matlab, condu cting an in-depth analysis of how variables such as grinding depth, abrasivegra in size, spindle speed, and feed rate affect the surface integrity of these premium materials.”

    Studies from Beijing Institute of Technology Have Provided New Information about Robotics (An Artificial Lateral Line-based Active Obstacle Recognition Strategy and Performance Evaluation for Bionic Underwater Robots)

    33-34页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented in a new report. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “In the dark or muddy environments of the ocean, the artificial lateral lines (ALLs) based on bionics are mostly u sed to detect oscillating obstacles, such as dipole sources. To further expand the function of ALLs, in this article, the active recognition of nonoscillating obstacles is realized by an ALLs based on a pressure sensor array.”

    Data on Machine Learning Reported by Kacie Dougherty and Colleagues (Development and validation of a machine learning model integrated with the clinical workflow for inpatient discharge date prediction)

    34-35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 the subject of a report. According to news reporting originating in Marlton, New Jersey, by NewsRx journalists, research stated, “Discharge date prediction plays a crucial role in healthcare management, enabling efficient resource allocation and patient care planning. Accurate estimation of the discharge date can optimize hospital operations and facilitate better patient outcomes.”

    Berlin Institute of Technology Researchers Detail Research in Machine Learning ( Application of Machine Learning During Maintenance And Exploitation of Electric Vehicles)

    35-36页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on artificial intelligence are presented in a new report. According to news reporting from Berlin, Germany, by NewsRx journalists, research stated, “In the era of increasing demand for so urces of renewable and cleaner energy, electric vehicles offer possible solution s in order to maintain and improve the mobility of transport systems.”

    University of Szeged Reports Findings in Cardiac Arrhythmias (Best practices in robotic magnetic navigation-guided catheter ablation of cardiac arrhythmias, a position paper of the Society for Cardiac Robotic Navigation)

    36-37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 - Cardiac Arrhythmias is the subject of a report. According to news repor ting originating in Szeged, Hungary, by NewsRx journalists, research stated, “Robotic magnetic navigation (RMN)-guided catheter ablation (CA) technology has bee n used for the treatment of cardiac arrhythmias for almost 20 years. Various stu dies reported that RMN allows for high catheter stability, improved lesion formation and a superior safety profile.”

    Shanghai Jiao Tong University Reports Findings in Robotics (Ultra- High Sensitivity Anisotropic Piezoelectric Sensors for Structural Health Monitoring and Robotic Perception)

    37-38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 Robotics is the subject of a report. According to news reporting originating in Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “Monitoring minuscule mechanical signals, both in magnitude and direction, is imperative in many application scenarios, e.g., structural health monitoring and robotic sensing systems. However, the piezoelectric sensor struggles to satisfy the requirements for directional recognition due to the limited piezoelectric coefficient matrix, and achieving sensitivity for detecting micrometer-scale deformations is also challenging.”

    Studies from University of Electronic Science and Technology of China in the Area of Robotics Reported (Optimization-based Adaptive Assistance for Lower Limb Exoskeleton Robots With a Robotic Walker Via Spatially Quantized Gait)

    38-39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 Robotics. According to news reporting originating in Sichuan, People’s Republic of China, by NewsRx journalists, research stated, “Gait training with humanlike gait patterns can be provided by lower limb exoskeletons (LLEs) for patients wi th gait impairments. For patients with little effort to keep balance, using a mo bile robotic walker to assist gait training with LLEs is an effective way.”