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    Yangzhou University Reports Findings in Rectal Cancer (Low ligation of the infer ior mesenteric artery in robotic mid-low rectal cancer surgery: a comparative st udy from a single-center)

    57-58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 - Rectal Canc er is the subject of a report. Accordingto news reporting originating from Yang zhou, People’s Republic of China, by NewsRx correspondents,research stated, “La paroscopic total mesorectal excision is the main surgical approach for treating rectalcancer, but there is still no clear consensus on the issue of low ligatio n of the inferior mesenteric arteryduring the procedure. Robotic surgery has be en shown to have certain advantages over laparoscopicsurgery in multiple studie s, but further research is needed to better understand the outcomes of robotic surgery in the context of low ligation procedures.”

    Researchers from Sunway University Provide Details of New Studies and Findings i n the Area of Machine Learning (Improving Sea Level Prediction In Coastal Areas Using Machine Learning Techniques)

    58-59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 Ma chine Learning. According to news reportingoriginating in Selangor Darul, Malay sia, by NewsRx journalists, research stated, “The objective of thecurrent study is to investigate the effectiveness of specifically the Support Vector Machine (SVM) and thek-Nearest Neighbors (kNN) models for sea level prediction. The SVM and kNN models are compared usingthe predicted data determined by the machine learning model’s performance.”

    Tampere University Reports Findings in Androids (Infants’ psychophysiological re sponses to eye contact with a human and with a humanoid robot)

    59-59页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Robotics - Androids is the subject of a report. According to newsoriginating from Tampere, Finland, b y NewsRx correspondents, research stated, “Eye contact with ahuman and with a h umanoid robot elicits attention- and affect-related psychophysiological response s.However, these responses have mostly been studied in adults, leaving their de velopmental origin poorlyunderstood.”

    Chinese Academy of Medical Sciences Reports Findings in Acute Lung Injury (Explo ration of novel human neutrophil elastase inhibitors from natural compounds: vir tual screening, in vitro, molecular dynamics simulation and in vivo study)

    60-60页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Lung Diseases and Conditions - Ac ute Lung Injury is the subject of a report.According to news reporting out of B eijing, People’s Republic of China, by NewsRx editors, research stated,“Human n eutrophil elastase (HNE) is an important contributor to lung diseases such as ac ute lung injury(ALI) or acute respiratory distress syndrome. Therefore, this st udy aimed to identify natural HNE inhibitorswith anti-inflammatory activity thr ough machine learning algorithms, in vitro assays, molecular dynamicsimulation, and an in vivo ALI assay.”

    New Findings on Machine Learning from Cadi Ayyad University Summarized (Phosphat e Mine By-products As New Cementitious Binders for Eco-mortars Production: Exper iments and Machine Learning Approach)

    61-61页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news originating fromMarrakech, Morocco, by NewsRx cor respondents, research stated, “Phosphate mining industry generatesdifferent typ es of by-products that have significant environmental impacts such as ecosystems destructionand soil contamination. To reduce their environmental footprint, th ese wastes were investigated assupplementary cementitious materials (SCMs).”

    Studies from Al-Hikmah University Reveal New Findings on Machine Learning (A Lea rning Approach for The Identification of Network Intrusions Based on Ensemble XG Boost Classifier)

    62-62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 artific ial intelligence. According to news reportingoriginating from Al-Hikmah Univers ity by NewsRx correspondents, research stated, “The limitation ofsignature-base d Intrusion Detection systems has given rise for the popularity of Machine learn ing (ML)approaches r for building such intrusion detection systems (IDSs). ML i s a sub-filed of Artificial Intelligencethat enables algorithms to learn from d ata and its applications have been widely accepted and used inmany domains.”

    Data on Machine Learning Reported by Researchers at Federal University Lavras (A ssessment of Coffee Leaves Nutritive Value Via Portable X-ray Fluorescence Spect rometry and Machine Learning Algorithms)

    62-63页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting originating from Lavras, Brazil, by Ne wsRx correspondents, research stated, “Portable X-ray fluorescence(pXRF) spectr ometry is a non-destructive technique that has been successfully used to analyze differentmatrices. Foliar analysis is challenging because some plant nutrients cannot be detected by pXRF.”

    Studies Conducted at Nankai University on Robotics and Automation Recently Repor ted (Tc2li-slam: a Tightly-coupled Cameralidar-inertial Slam System)

    64-64页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics - Ro botics and Automation have been published.According to news reporting originati ng in Tianjin, People’s Republic of China, by NewsRx journalists,research state d, “In this letter, we propose (TCLI)-L-2-SLAM, a novel and tightly-coupled came ra-LiDARinertialSLAM system with a separated front end and a unified back end. The front end accepts non-identicalfrequency inputs and performs real-time pos e estimation while incorporating different inputs into keyframesfor the back en d, benefiting from our novel keyframe-oriented data synchronization method.”

    Martin Luther-University Halle-Wittenberg Reports Findings in Machine Learning ( Estimation of 100 m root zone soil moisture by downscaling 1 km soil water index with machine learning and multiple geodata)

    65-65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 Halle Saale, Germany, by NewsRx journalists, research stated, “Root zone soil moisture(RZSM) is crucial for agricultural water management and land surface processes. The 1 km soil wat erindex (SWI) dataset from Copernicus Global Land services, with eight fixed ch aracteristic time lengths(T), requires root zone depth optimization (T) and is limited in use due to its low spatial resolution.”

    Study Data from Washington State University Update Knowledge of Machine Learning (Machine Learning Enabled Design and Optimization for 3d-printing of High-fidel ity Presurgical Organ Models)

    66-66页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting originating from Pullman, W ashington, by NewsRx correspondents, research stated, “Thedevelopment of a gene ral-purpose machine learning algorithm capable of quickly identifying optimal 3D-printing settings can save manufacturing time and cost, reduce labor intensity, and improve the quality of3D-printed objects. Existing methods have limitation s which focus on overall performance or one specificaspect of 3D-printing quali ty.”