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    Reports from Nanjing University of Aeronautics and Astronautics Provide New Insi ghts into Robotics (Dynamic Topology Optimization of Flexible Multibody Systems)

    38-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Robotics are disc ussed in a new report. According to newsreporting from Nanjing, People’s Republ ic of China, by NewsRx journalists, research stated, “Flexiblemultibody system (FMBS) refers to a mechanical system, which consists of flexible components andkinematic pairs, and undergoes both overall motions and deformations. FMBS serve s as a useful dynamicmodel for many advanced industrial products, such as flexi ble robots, helicopter rotors and deployablespace antennas

    Tsinghua University Reports Findings in Artificial Intelligence (Universal mater ials model of deep-learning density functional theory Hamiltonian)

    39-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting out of Beijing, People ’s Republic of China, by NewsRx editors, research stated, “Realizing largemater ials models has emerged as a critical endeavor for materials research in the new era of artificialintelligence, but how to achieve this fantastic and challengi ng objective remains elusive. Here, we proposea feasible pathway to address thi s paramount pursuit by developing universal materials models ofdeep-learning de nsity functional theory Hamiltonian (DeepH), enabling computational modeling of thecomplicated structure-property relationship of materials in general.”

    Researchers’ Work from Stanford University Focuses on Robotics and Automation (D istributed Online Planning for Min-max Problems In Networked Markov Games)

    40-40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 - Robotics and Automation. Accordingto news reporting originating from S tanford, California, by NewsRx correspondents, research stated,“Min-max problem s are important in multi-agent sequential decision-making because they improve t heperformance of the worst-performing agent in the network. However, solving th e multi-agent min-maxproblem is challenging.”

    Fourth Military Medical University Reports Findings in Delirium (Machine learnin g for the prediction of delirium in elderly intensive care unit patients)

    41-41页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Nervous System Disease s and Conditions - Delirium is the subjectof a report. According to news origin ating from Shaanxi, People’s Republic of China, by NewsRx correspondents,resear ch stated, “This study aims to develop and validate a prediction model for delir ium inelderly ICU patients and help clinicians identify high-risk patients at t he early stage. Patients admitted toICU for at least 24 h and using the Confusi on Assessment Method for the Intensive Care Unit (CAM-ICU)in the Medical Inform ation Mart for Intensive Care-IV (MIMIC-IV) database (76,943 ICU stays from 2008to 2019) were considered.”

    New Robotics Findings Has Been Reported by Investigators at Shenzhen University (Design and Movement Mechanism Analysis of a Multiple Degree of Freedom Bionic C rocodile Robot Based On the Characteristic of 'death Roll.')

    42-42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 Robotic s. According to news originating from Guangdong,People’s Republic of China, by NewsRx correspondents, research stated, “This paper introduces amulti-degree of freedom bionic crocodile robot designed to tackle the challenge of cleaning pol lutants anddebris from the surfaces of narrow, shallow rivers. The robot mimics the ‘death roll’ motion of crocodileswhich is a technique used for object disi ntegration.”

    Findings from Shanghai Jiao Tong University Yields New Findings on Machine Learn ing (Prediction of Pressure Drop In Solid-liquid Twophase Pipe Flow for Deep-se a Mining Based On Machine Learning)

    43-43页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting out of Shanghai, People’s Re public of China, by NewsRx editors, research stated, “In deep-sea mining, the a ccurate and rapid prediction of the pressure drop in a solid-liquid two-phase pi pe flow(SLPF) with different parameters including particles, pipes, and flow fi elds, remains an issue yet to befully resolved. In this study, an extensive inv estigation of the pressure drop in a slpf is conducted usingmachine-learning te chniques.”

    Agency for Science Technology and Research (A*STAR) Reports Findings in Machine Learning (Accelerating Formulation Design via Machine Learning: Generating a Hig h-throughput Shampoo Formulations Dataset)

    44-44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 Singapore, Singapore, by NewsRx journalists, research stated, “Liquid formulations areubiquitous yet ha ve lengthy product development cycles owing to the complex physical interactions betweeningredients making it difficult to tune formulations to customer-define d property targets. Interpolative MLmodels can accelerate liquid formulations d esign but are typically trained on limited sets of ingredientsand without any s tructural information, which limits their out-of-training predictive capacity.”

    Dana-Farber Cancer Institute Reports Findings in Artificial Intelligence (Applic ation of Generative Artificial Intelligence in Predicting Membrane Partitioning of Drugs: Combining Denoising Diffusion Probabilistic Models and MD Simulations …)

    45-45页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According to newsreporting from Boston, Massachus etts, by NewsRx journalists, research stated, “The optimal interactionof drugs with plasma membranes and membranes of subcellular organelles is a prerequisite for desirablepharmacology. Importantly, for drugs targeting the transmembrane l ipid-facing sites of integral membraneproteins, the relative affinity of a drug to the bilayer lipids compared to the surrounding aqueous phaseaffects the par titioning, access, and binding of the drug to the target site.”

    Amsterdam University Medical Centre Reports Findings in Artificial Intelligence (Digital twins: reimagining the future of cardiovascular risk prediction and per sonalised care)

    46-46页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Artificial Intelligenc e is the subject of a report. According tonews originating from Amsterdam, Neth erlands, by NewsRx correspondents, research stated, “The rapidevolution of high ly adaptable and reusable artificial intelligence models facilitates the impleme ntation ofdigital twinning and has the potential to redefine cardiovascular ris k prevention. Digital twinning combinesvast amounts of data from diverse source s to construct virtual models of an individual.”

    Universite Claude Bernard Lyon 1 Reports Findings in Chronic Kidney Disease (Ext ernal validation of a 2-year all-cause mortality prediction tool developed using machine learning in patients with stage 4-5 chronic kidney disease)

    47-47页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Kidney Diseases and Co nditions - Chronic Kidney Disease is the subjectof a report. According to news reporting out of Villeurbanne, France, by NewsRx editors, research stated,“Chro nic kidney disease (CKD) is associated with increased mortality. Individual mort ality predictioncould be of interest to improve individual clinical outcomes.”