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    Umass Amherst researchers create new method for orchestrating successful collabo ration among robots

    1-2页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – AMHERST, Mass. - New research from the University of Massachusetts Amherstshows that programming robots to create the ir own teams and voluntarily wait for their teammatesresults in faster task com pletion, with the potential to improve manufacturing, agriculture and warehouseautomation. This research was recognized as a finalist for Best Paper Award on M ulti-Robot Systems atthe IEEE International Conference on Robotics and Automati on 2024.

    Nantong University Reports Findings in Pancreatic Cancer (Machine learning-based identification of biomarkers and drugs in immunologically cold and hot pancreat ic adenocarcinomas)

    2-3页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Oncology - Pancreatic Cancer is the subject of a report. According tonews reporting originating from Nantong, People’s Republic of China, by NewsRx correspondents, researchstated, “Pancreatic adenocarcinomas (PAADs) often exhibit a ‘cold’ or immunosuppressive tumor milieu,which is associated with resistance to immune checkpoint blockade therapy; however, the underlyingmechanisms are incompletely understood. Here, w e aimed to improve our understanding of the molecularmechanisms occurring in th e tumor microenvironment and to identify biomarkers, therapeutic targets, andpo tential drugs to improve PAAD treatment.”

    Sungkyunkwan University Researchers Broaden Understanding of Androids (Integrati on of Tracking, Re-Identification, and Gesture Recognition for Facilitating Huma n-Robot Interaction)

    3-4页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on androids is the subjec t of a new report. According to news originatingfrom Suwon, South Korea, by New sRx editors, the research stated, “For successful human-robotcollaboration, it is crucial to establish and sustain quality interaction between humans and robot s, makingit essential to facilitate human-robot interaction (HRI) effectively.”

    Findings from Changzhou University in the Area of Support Vector Machines Report ed (A Combination Model for Displacement Prediction of High Arch Dams Stacking F ive Kinds of Temperature Factors)

    4-5页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Support Vector Machine s is the subject of a report. Accordingto news reporting originating in Jiangsu , People’s Republic of China, by NewsRx journalists, researchstated, “The stati cally indeterminate characteristics of arch dams highlight the temperature defor mationeffect, making accurate modelling of this effect a key issue in improving the performance of displacementmonitoring models. In this paper, causal interp retation ability and prediction accuracy of five kinds oftemperature deformatio n modelling factors, including seasonal harmonic function, segmented average previous air temperature, air temperature hysteresis correction factor, principal c omponents and shape featureclustering-based principal components of measured da m temperatures, are compared.”

    Department of Civil Engineering Researchers Detail Research in Machine Learning (Machine Learning-Based Prediction of Self-Healing Smart Concrete Properties)

    5-5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 ar tificial intelligence. According to news originatingfrom the Department of Civi l Engineering by NewsRx correspondents, research stated, “Self-Healing SmartCon crete has arisen as a promising solution to mitigate the detrimental effects of cracks and deteriorationin concrete structures, enhancing their durability and longevity.”

    University College London (UCL) Reports Findings in Machine Learning (Identifica tion of mycobacterial Thymidylate kinase inhibitors: a comprehensive pharmacopho re, machine learning, molecular docking, and molecular dynamics simulation studi es)

    6-6页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reporting outof London, United Kingdom, by NewsRx editors, research stated, “Thymidylate kinase (TMK) is a pivotalenzyme in Mycobacterium tuberculosis (Mtb), crucial for phosphorylating thymidine monophosphate(dTMP) to thymidine diphosphate (dTDP), thereby playing a critical role in DNA biosynthesis. Dysregulation or inhibition of TMK activity disrupts DNA replication and cell division, making it an attractivetarget for anti-tuberculosis drug development.”

    Haseki Training and Research Hospital Reports Findings in Cancer (Evaluating the Effectiveness and Safety of Robotic-Assisted MRI/TRUS Fusion Transperineal Pros tate Biopsy Systems: A Narrative Review Based on Current Literature)

    7-7页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Cancer is the subject of a report. According to news reporting outof Istanbul, Turkey, by NewsRx edit ors, research stated, “Robotic-assisted magnetic resonance imaging(MRI)/transre ctal ultrasound (TRUS) fusion transperineal biopsy systems are one of the most d ebatedand interesting subjects both in practice and in current urology literatu re. The comprehensive literatureresearch was carried out in the PubMed/MEDLINE, Google Scholar, and Scopus databases using the terms‘robotic transperineal pro state biopsy,’ ‘robot-assisted MRI/US fusion biopsy,’ ‘robot-assisted MRI/TRUSf usion biopsy,’ or ‘robotic targeted prostate biopsies.’ All article types were i ncluded in the study (n=343).”

    East China University of Science and Technology Reports Findings in Machine Lear ning (Addressing the impact of land use land cover changes on land surface tempe rature using machine learning algorithms)

    8-8页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Machine Learning is the subject o f a report. According to news reportingoriginating from Shanghai, People’s Repu blic of China, by NewsRx correspondents, research stated, “Overthe past two and a half decades, rapid urbanization has led to significant land use and land cov er(LULC) changes in Kabul province, Afghanistan. To assess the impact of LULC c hanges on land surfacetemperature (LST), Kabul province was divided into four L ULC classes applying the Support VectorMachine (SVM) algorithm using the Landsa t satellite images from 1998 to 2022.”

    University Hospital Puerta de Hierro Majadahonda Reports Findings in Artificial Intelligence (Family history of cancer and lung cancer: Utility of big data and artificial intelligence for exploring the role of genetic risk)

    9-10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 Madrid, Spain, by NewsRx correspondents, research stated, “Lung Cancer (LC) isa multifactorial disease for which the role of genetic susceptibility has become increasingly re levant. Ouraim was to use artificial intelligence (AI) to analyze differences b etween patients with LC based on familyhistory of cancer (FHC).”

    Guangxi University Reports Findings in Machine Learning (A novel coupling interp retable machine learning framework for water quality prediction and environmenta l effect understanding in different flow discharge regulations of hydro-projects )

    10-11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 originating in Nanning, Peopl e’s Republic of China, by NewsRx journalists, research stated,“Machine learning models (MLMs) have been increasingly used to forecast water pollution. However, the‘black box’ characteristic for understanding mechanism processes still limi ts the applicability of MLMs forwater quality management in hydro-projects unde r complex and frequently artificial regulation.”