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    Study Results from Duke University Provide New Insights into Machine Learning (Y oked learning in molecular data science)

    77-78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 artificial intelligence is now available. According to news originating from Durham, North Carolina, by NewsRx correspondents, research stated, “Active machine learning is an establis hed and increasingly popular experimental design technique where the machine lea rning model can request additional data to improve the model’s predictive perfor mance.”

    Helmholtz-Zentrum Berlin fur Materialien und Energie GmbH Reports Findings in Ma chine Learning (Automated spectrometer alignment via machine learning)

    78-79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 Machine Learning is th e subject of a report. According to news reporting originating from Berlin, Germ any, by NewsRx correspondents, research stated, “During beam time at a research facility, alignment and optimization of instrumentation, such as spectrometers, is a time-intensive task and often needs to be performed multiple times througho ut the operation of an experiment. Despite the motorization of individual compon ents, automated alignment solutions are not always available.”

    Shanghai Jiao Tong University School of Medicine Reports Findings in Schizophren ia (Aberrant patterns of spontaneous brain activity in schizophrenia: A resting- state fMRI study and classification analysis)

    79-80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 Health Diseases and Conditions - Schizophrenia is the subject of a report. According to news or iginating from Shanghai, People’s Republic of China, by NewsRx correspondents, r esearch stated, “Schizophrenia is a prevalent mental disorder, leading to severe disability. Currently, the absence of objective biomarkers hinders effective di agnosis.”

    Data on Machine Learning Described by Researchers at Harbin Engineering Universi ty (Predicting Propeller Emergence Severity In Adverse Sea Conditions: an Integr ated Approach Using Stacked Machine Learning Models)

    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 Machine Learning is th e subject of a report. According to news originating from Harbin, People’s Repub lic of China, by NewsRx correspondents, research stated, “In adverse sea conditi ons, variations in the propeller submergence depth can induce ventilation and ou t-ofwater effects. These effects result in propeller-torque and thrust losses, impacting the shipboard power network ‘ s reliability and accelerate wear on pro pulsion shaft system.” Funders for this research include National Natural Science Foundation of China ( NSFC), High-tech Ship Research Program of the Ministry of Industry and Informati on Technology of China.

    Guizhou Medical University Reports Findings in Keratoconjunctivitis (JAK1, SKI, ZBTB16 as potential biomarkers mediate the inflammatory response in keratoconjun ctivitis sicca)

    81-82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 Eye Diseases and Condi tions - Keratoconjunctivitis is the subject of a report. According to news origi nating from Guizhou, People’s Republic of China, by NewsRx correspondents, resea rch stated, “Keratoconjunctivitis sicca (KCS) is an ocular condition characteriz ed by insufficient tear production and inflammatory irritation, with Sjogren’s s yndrome (SS) being a major causative factor. This study aimed to extract patient transcriptomic data from the GEO database to identify signature genes associate d with the diagnosis and treatment of KCS and the expression of three key genes were experimentally verified.”

    Studies in the Area of Engineering Reported from Umea University (Most Influenti al Feature Form for Supervised Learning In Voltage Sag Source Localization)

    82-83页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Engineering. According to news reporting originating from Umea, Sweden, by NewsR x correspondents, research stated, “The paper investigates the application of ma chine learning (ML) for voltage sag source localization (VSSL) in electrical pow er systems. To overcome feature -selection challenges for traditional ML methods and provide more meaningful sequential features for deep learning methods, the paper proposes three time -sample -based feature forms, and evaluates an existin g feature form.” Financial supporters for this research include Kempe Foundation (Kempestiftelser na), Sweden, ARIS, Slovenia.

    Study Findings on Robotics Are Outlined in Reports from University of Bologna (A n Underactuated Cable-Driven Parallel Robot for Marine Automated Launch and Reco very Operations)

    83-84页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in robotics. According to news reporting originating from Bologna, Italy, by NewsRx correspondents, research stated, “This article presents the feasibility study a nd preliminary testing of an underactuated cable-driven parallel robot for autom ated launch and recovery operations on the sea surface.” Our news editors obtained a quote from the research from University of Bologna: “The robot frame is mounted onto a primary vessel (PV) subject to sea-induced mo tions. During launch, the end-effector (EE) is required to deploy a secondary ve ssel (SV) by lowering it from the PV onto the sea surface. During recovery, the EE has to track and grasp a SV, and the EE-SV assembly needs to be stabilized du ring lifting from the sea surface to the PV. Sea conditions and the underactuate d nature of the EE influence the operational feasibility and the overall robot p erformance. This article presents the conceptual design and the robot model, as well as the methodologies for winch dimensioning and robot control.”

    San Paolo University Hospital Reports Findings in Pneumoperitoneum (Mechanical p ower during robotic-assisted laparoscopic prostatectomy: an observational study)

    84-85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 Digestive System Disea ses and Conditions - Pneumoperitoneum is the subject of a report. According to n ews reporting originating from Milan, Italy, by NewsRx correspondents, research stated, “Robotic-assisted laparoscopic radical prostatectomy (RALP) requires pne umoperitoneum and steep Trendelenburg position. Our aim was to investigate the i nfluence of the combination of pneumoperitoneum and Trendelenburg position on me chanical power and its components during RALP.” Financial support for this research came from Universita degli Studi di Milano.

    Sunnybrook Health Sciences Centre Reports Findings in Arthroplasty (Clinical, fu nctional, and radiological outcomes of robotic assisted versus conventional tota l hip arthroplasty: a systematic review and meta-analysis of randomized controll ed ...)

    85-86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 Surgery - Arthroplasty is the subject of a report. According to news reporting originating in Toronto, Canada, by NewsRx journalists, research stated, “This systematic review of rand omized controlled trials (RCTs) aims to compare important clinical, functional, and radiological outcomes between robotic-assisted total hip arthroplasty (RATHA ) and conventional total hip arthroplasty (COTHA) in patients with hip osteoarth ritis. We identified published RCTs comparing RATHA with COTHA in Ovid MEDLINE, EMBASE, Scopus, and Cochrane Library.”

    Recent Findings from Guangdong University of Technology Provides New Insights in to Robotics (Nonlinear Disturbance Observer Incorporated Model Predictive Strate gy for Wheeled Mobile Robot’s Trajectory Tracking Control)

    86-87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 Ro botics. According to news reporting from Guangzhou, People’s Republic of China, by NewsRx journalists, research stated, “In this paper, we discuss a nonlinear d isturbance observer-based double closed-loop control system for managing a wheel ed mobile robot (WMR) and achieving trajectory tracking control. The focus of ou r study is on the topic of trajectory tracking control for WMR in the presence o f external disturbances.” Financial supporters for this research include National Natural Science Foundati on of Guangdong Province, Science and Technology Program of Guangzhou, National Natural Science Foundation of China (NSFC).