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    University of Virginia Reports Findings in Staphylococcus aureus (Improving Risk Prediction of Methicillin-Resistant Staphylococcus aureus Using Machine Learnin g Methods With Network Features: Retrospective Development Study)

    71-72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 Gram-Positive Bacteria - Staphylococcus aureus is the subject of a report. According to news reporting out of Charlottesville, Virginia, by NewsRx editors, research stated, “Health c are-associated infections due to multidrug-resistant organisms (MDROs), such as methicillinresistant Staphylococcus aureus (MRSA) and Clostridioides difficile (CDI), place a significant burden on our he alth care infrastructure. Screening for MDROs is an important mechanism for prev enting spread but is resource intensive.”

    Study Data from Wuhan University of Technology Update Knowledge of Machine Learn ing (Exploring the Core-shell Structure of Batio3-based Dielectric Ceramics Usin g Machine Learning Models and Interpretability Analysis)

    72-73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 th e subject of a report. According to news reporting out of Wuhan, People’s Republ ic of China, by NewsRx editors, research stated, “A machine learning (ML)-based random forest (RF) classification model algorithm was employed to investigate th e main factors affecting the formation of the core-shell structure of BaTiO3-bas ed ceramics and their interpretability was analyzed by using Shapley additive ex planations (SHAP).” Financial support for this research came from National Key Research and Developm ent Program of China.

    New Findings from University of Technology in the Area of Machine Learning Repor ted (Integrated Analysis of Wireline Logs Analysis, Seismic Interpretation, and Machine Learning for Reservoir Characterisation: Insights From the Late Eocene M ckee ...)

    73-74页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting out of Seri Iskandar, Malaysia, by NewsRx editors, research stated, “This study aims to integrate seismic and well data f or re-assessment and delineating the geological and petrophysical characteristic s of the Late Eocene McKee Formation. Despite the McKee Formation being a hydroc arbonproducing field, there have been no previous integrated studies conducted t o characterize its deposits in the Taranaki Basin.” Funders for this research include Universiti Teknologi PETRONAS, Institute of Hy drocarbon Recovery (IHR), GR T Grant, YUTP.

    Zhejiang University Researchers Focus on Machine Learning (* * Ginkgo biloba* * Sex Identification Methods Using Hyperspectral Imaging and Machine Learning)

    74-75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 ar tificial intelligence. According to news reporting from Hangzhou, People’s Repub lic of China, by NewsRx journalists, research stated, “* * Ginkgo biloba* * L. i s a rare dioecious species that is valued for its diverse applications and is cu ltivated globally.” Financial supporters for this research include Department of Science And Technol ogy of Zhejiang Province; Science And Technology Department of Shenzhen.

    New Findings from Max-Planck-Institute for Molecular Physiology Update Understan ding of Machine Learning (Identification of Lysosomotropism Using Explainable Ma chine Learning and Morphological Profiling Cell Painting Data)

    75-75页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Dortmund, Germany, by NewsRx journa lists, research stated, “Lysosomotropism is a phenomenon of diverse pharmaceutic al interests because it is a property of compounds with diverse chemical structu res and primary targets. While it is primarily reported to be caused by compound s having suitable lipophilicity and basicity values, not all compounds that fulf ill such criteria are in fact lysosomotropic.” Financial support for this research came from Max Planck Society.

    Study Results from Science University of Malaysia Provide New Insights into Mach ine Learning (Opsmote-ml: an Optimized Smote With Machine Learning Models for Se lective Forwarding Attack Detection In Low Power and Lossy Networks of Internet of ...)

    76-76页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting originating from Penang, Malaysia, by Ne wsRx correspondents, research stated, “The Internet of Things represents a rapid ly evolving networking paradigm that brings numerous benefits through its divers e applications. Advances in embedded system architectures and the compression of IPv6 have facilitated embedding IP stack functionalities within resource-constr ained low power and lossy networks (LLNs).” Financial support for this research came from This research was supported by a R esearch University (RU) Grant, Universiti Sains Malaysia (USM).

    New Robotics Findings from Tsinghua University Reported (Ms-vro: a Multistage Vi sual-millimeter Wave Radar Fusion Odometry)

    77-77页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Robotics have been published. According to news reporting originating in Beijing, People’s Re public of China, by NewsRx journalists, research stated, “Monocular visual odome try (VO) has extensive applications in mobile robots and computer vision. Howeve r, current applications of monocular VO systems in complex environments still ha ve limitations.”

    Findings in Machine Learning Reported from Autodesk Inc. (Xlb: a Differentiable Massively Parallel Lattice Boltzmann Library In Python)

    78-78页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting originating from Toronto, Canada, by News Rx correspondents, research stated, “The lattice Boltzmann method (LBM) has emer ged as a prominent technique for solving fluid dynamics problems due to its algo rithmic potential for computational scalability. We introduce XLB library, a Pyt hon -based differentiable LBM library based on the JAX platform.”

    Ted Rogers School of Information Technology Management Reports Findings in Artif icial Intelligence (Adaptive Cancer Therapy in the Age of Generative Artificial Intelligence)

    79-79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 Artificial Intelligenc e is the subject of a report. According to news originating from Toronto, Canada , by NewsRx editors, the research stated, “Therapeutic resistance is a major cha llenge facing the design of effective cancer treatments. Adaptive cancer therapy is in principle the most viable approach to manage cancer’s adaptive dynamics t hrough drug combinations with dose timing and modulation.” Financial support for this research came from Toronto Metropolitan University.

    Southern University of Science and Technology (SUSTech) Reports Findings in Pulm onary Tuberculosis (Plasma immune profiling combined with machine learning contr ibutes to diagnosis and prognosis of active pulmonary tuberculosis)

    80-81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 Lung Diseases and Cond itions - Pulmonary Tuberculosis is the subject of a report. According to news re porting originating from Shenzhen, People’s Republic of China, by NewsRx corresp ondents, research stated, “Tuberculosis (TB) remains one of the deadliest chroni c infectious diseases globally. Early diagnosis not only prevents the spread of TB but also ensures effective treatment.” Financial supporters for this research include National Key Research and Develop ment Program of China, National Natural Science Foundation of China, Science Fun d for Distinguished Young Scholars of Guangdong Province, Shenzhen Scientific an d Technological Foundation.