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    Otto-von-Guericke-University Reports Findings in Personalized Medicine (Utilizing predictive machine-learning modelling unveils feature-based risk assessment system for hyperinflammatory patterns and infectious outcomes in polytrauma)

    65-66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 from Magdeburg, Germany, by NewsRx journalists, research stated,“Earlier research has identified several potentially predictive features including biomarkers associated withtrauma, which can be used to assess the risk for harmful outcomes of polytraumatized patients. Thesefeatures encompass various aspects such as the nature and severity of the injury, accompanying healthconditions, immune and inflammatory markers, and blood parameters linked to organ functioning, howevertheir applicability is limited.”

    New Machine Learning Findings Has Been Reported by Investigators at RWTH Aachen University (Development of Machine Learning Models To Predict the Weld Defect Using Resistance Spot Welding Experimental Data)

    67-67页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Aachen, Germany, by NewsRx correspondents, research stated, “Advanced materials and automatedprocesses in manufacturing pose a challenge in terms of adaptability. Introduction of 3rd-generationadvanced high strength (3rd-gen AHSS) steels aimed for weight reduction in the automotive withoutcompromising its strength and efficient fuel consumption.”

    Data on Machine Learning Reported by Shunjun Ma and Colleagues (Using machine learning to trace the pollution sources of disinfection by-products precursors compared to receptor models)

    68-69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 the subject of a report. According to newsreporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “To increase the efficiency of managing backup water resources, it is critical to identify and allocatepollution sources. Source apportionment of dissolved organic matter (DOM) was investigated in our work.”

    Emory University Reports Findings in Machine Learning (A New A Priori Method to Avoid Calculation of Negligible Hamiltonian Matrix Elements in CI Calculation)

    68-68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 the subject of a report. According to newsreporting originating from Atlanta, Georgia, by NewsRx correspondents, research stated, “Hamiltonianmatrices typically contain many elements that are negligibly small compared to the diagonal elements,even with methods to prune the underlying basis. Because for general potentials the calculation of -matrix elements is a major part of the computational effort to obtain eigenvalues and eigenfunctions of theHamiltonian, there is strong motivation to investigate locating these negligible elements without calculatingthem or at least avoid calculating them.”

    Researchers at Huazhong University of Science and Technology Release New Data on Robotics (A soft magnetoelectric finger for robots’ multidirectional tactile perception in non-visual recognition environments)

    69-70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 subject of a new report. According to news reportingoriginating from Huazhong University of Science and Technology by NewsRx correspondents, research stated, “Robotic fingers with multidirectional tactile perception are of great importance for the roboticexploration of complex unknown space, especially in environments in which visualization is not possible.”Financial supporters for this research include The Initiatory Financial Support From Huazhong Universityof Science And Technology.

    Findings on Machine Learning Discussed by Investigators at University of Washington (Improved Observations of Deep Earthquake Ruptures Using Machine Learning)

    70-71页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Seattle, Washington, by NewsRx correspondents, research stated, “Elevatedseismic noise for moderate-size earthquakes recorded at teleseismic distances has limited our ability to seetheir complexity. We develop a machine-learning-based algorithm to separate noise and earthquake signalsthat overlap in frequency.”

    Study Findings from Irkutsk National Research Technical University Advance Knowledge in Artificial Intelligence (Applications of artificial intelligence methods in the energy sector)

    71-72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 originating from Irkutsk National Research Technical University by NewsRx editors, the research stated, “The articledescribes the relevance of application of artificial intelligence technologies in the energy sector.”

    Federal University of Rio Grande do Sul Researchers Publish New Data on Machine Learning (Decision analysis framework for predicting no-shows to appointments using machine learning algorithms)

    72-73页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators publish new report on artificial intelligence. According to news reporting out of FederalUniversity of Rio Grande do Sul by NewsRx editors, research stated, “No-show to medical appointmentshas significant adverse effects on healthcare systems and their clients. Using machine learning to predictno-shows allows managers to implement strategies such as overbooking and reminders targeting patientsmost likely to miss appointments, optimizing the use of resources.”

    Findings from University of Michigan Has Provided New Data on Machine Learning (Atomistic Simulations and Machine Learning of Solute Grain Boundary Segregation In Mg Alloys At Finite Temperatures)

    73-74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 Machine Learning. According to news originatingfrom Ann Arbor, Michigan, by NewsRx correspondents, research stated, “Understanding solute segregationthermodynamics is the first step in investigating grain boundary (GB) properties, such as strong yttrium(Y) effects on grain growth and texture evolution in micro-scale polycrystalline magnesium (Mg) alloys.To estimate the average GB segregation behavior in low-solute-concentration Mg alloys (e.g., 2 at.% Y), astate-of-the-art spectral approach is applied based on a per-site segregation energy spectrum for Y soluteatoms at zero K obtained from molecular statistics (MS) simulations of-104 GB sites in Mg symmetric tiltGBs (STGBs).”

    New Machine Learning Study Results Reported from Commonwealth Scientific and Industrial Research Organisation (CSIRO) (Making Sense of Machine Learning: A Review of Interpretation Techniques and Their Applications)

    74-75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 artificial intelligence have been published. According to newsoriginating from Canberra, Australia, by NewsRx correspondents, research stated, “Transparency in AImodels is essential for promoting human-AI collaboration and ensuring regulatory compliance. However,interpreting these models is a complex process influenced by various methods and datasets.”