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    Research Conducted at Stanford University Has Updated Our Knowledge about Roboti cs (Stiffness Change for Reconfiguration of Inflated Beam Robots)

    29-30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 from Stanford, California, by NewsR x journalists, research stated, “Active control of the shape of soft robots is c hallenging. Despite having an infinite number of passive degrees of freedom (DOF s), soft robots typically only have a few actively controllable DOFs, limited by the number of degrees of actuation (DOAs).”

    Second Affiliated Hospital of Nanchang University Reports Findings in Moyamoya D isease (Machine learning model for predicting stroke recurrence in adult stroke patients with moyamoya disease and factors of stroke recurrence)

    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 Central Nervous System Diseases and Conditions - Moyamoya Disease is the subject of a report. Accordin g to news reporting from Jiangxi, People’s Republic of China, by NewsRx journali sts, research stated, “The aim of this study was at building an effective machin e learning model to contribute to the prediction of stroke recurrence in adult s troke patients subjected to moyamoya disease (MMD), while at analyzing the facto rs for stroke recurrence. The data of this retrospective study originated from t he database of JiangXi Province Medical Big Data Engineering & Tec hnology Research Center.”

    Technological University of Pereira Researchers Have Provided New Data on Machin e Learning (Estimating Acceleration from a Single Uniform Linear Motion-Blurred Image using Homomorphic Mapping and Machine Learning)

    31-32页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on artificial intelligen ce have been presented. According to news originating from Technological Univers ity of Pereira by NewsRx editors, the research stated, “Vision-based measurement (VBM) systems are becoming popular as an affordable and suitable alternative fo r scientific and engineering applications. When cameras are used as instruments, motion blur usually emerges as a recurrent and undesirable image degradation, w hich in fact contains kinematic information that is usually dismissed.”

    Pontificia Universidad Catolica de Chile Reports Findings in Artificial Intellig ence (A systematic review and meta-analysis of artificial intelligence versus cl inicians for skin cancer diagnosis)

    32-33页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Artificial Intelligence is the su bject of a report. According to news originating from Santiago, Chile, by NewsRx correspondents, research stated, “Scientific research of artificial intelligenc e (AI) in dermatology has increased exponentially. The objective of this study w as to perform a systematic review and meta-analysis to evaluate the performance of AI algorithms for skin cancer classification in comparison to clinicians with different levels of expertise.”

    Second Affiliated Hospital and Yuying Children’s Hospital of Wenzhou Medical Uni versity Reports Findings in Gout [Creating machine learning m odels that interpretably link systemic inflammatory index, sex steroid hormones, and dietary ...]

    33-34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 Musculoskeletal Diseas es and Conditions - Gout is the subject of a report. According to news reporting originating from Zhejiang, People’s Republic of China, by NewsRx correspondents , research stated, “The relationship between systemic inflammatory index (SII), sex steroid hormones, dietary antioxidants (DA), and gout has not been determine d. We aim to develop a reliable and interpretable machine learning (ML) model th at links SII, sex steroid hormones, and DA to gout identification.”

    Fifth Medical Center Reports Findings in Liver Cancer (Efficacy and safety of ro botic versus laparoscopic liver resection for hepatocellular carcinoma: a propen sity score-matched retrospective cohort study)

    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 Oncology - Liver Cance r is the subject of a report. According to news originating from Beijing, People ’s Republic of China, by NewsRx correspondents, research stated, “Evidence conce rning long-term outcome of robotic liver resection (RLR) and laparoscopic liver resection (LLR) for hepatocellular carcinoma (HCC) patients is scarce. This stud y enrolled all patients who underwent RLR and LLR for resectable HCC between Jul y 2016 and July 2021.” Financial support for this research came from National Natural Science Foundatio n of China.

    Jiangnan University Reports Findings in Robotics (Preprogrammable pneumatic act uator: leveraging mechanical anisotropy of nonwoven fabrics with an integrated t ensile sensor)

    35-36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 subjec t of a report. According to news reporting originating in Wuxi, People’s Republi c of China, by NewsRx journalists, research stated, “The emergence of flexible f abric-based pneumatic actuators (FPAs) with pre-programmable motion capabilities , enhanced security and versatile interaction features significantly advances th e construction of sophisticated soft robotic systems, owing to their enhanced se curity and versatile interaction features. Despite these promising attributes, t he commercial viability of FPA products faces a considerable amount of challenge s, primarily stemming from the scarcity of highly deformable fabric structures a nd the availability of industrial fabrication approaches.”

    Guizhou Provincial People’s Hospital Reports Findings in Breast Cancer (Enhancin g breast cancer outcomes with machine learningdriven glutamine metabolic reprog ramming signature)

    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 Oncology - Breast Canc er is the subject of a report. According to news reporting from Guizhou, People’ s Republic of China, by NewsRx journalists, research stated, “This study aims to identify precise biomarkers for breast cancer to improve patient outcomes, addr essing the limitations of traditional staging in predicting treatment responses. Our analysis encompassed data from over 7,000 breast cancer patients across 14 datasets, which included in-house clinical data and single-cell data from 8 pati ents (totaling 43,766 cells).”

    Chongqing University Reports Findings in Machine Learning (Machine learning for predicting halogen radical reactivity toward aqueous organic chemicalsl)

    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 Machine Learning is th e subject of a report. According to news reporting out of Chongqing, People’s Re public of China, by NewsRx editors, research stated, “Rapid advances in machine learning (ML) provide fast, accurate, and widely applicable methods for predicti ng free radical-mediated organic pollutant reactivity. In this study, the rate c onstants (logk) of four halogen radicals were predicted using Morgan fingerprint (MF) and Mordred descriptor (MD) in combination with a series of ML models.”

    University of Tubingen Reports Findings in Mental Disorders (Modeling brain sex in the limbic system as phenotype for femaleprevalent mental disorders)

    38-39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 Mental Disorders is th e subject of a report. According to news originating from Tubingen, Germany, by NewsRx correspondents, research stated, “Sex differences exist in the prevalence and clinical manifestation of several mental disorders, suggesting that sex-spe cific brain phenotypes may play key roles. Previous research used machine learni ng models to classify sex from imaging data of the whole brain and studied the a ssociation of class probabilities with mental health, potentially overlooking re gional specific characteristics.”