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    Chinese University of Hong Kong Reports Findings in Non-Small Cell Lung Cancer ( Machine learning predictive models and risk factors for lymph node metastasis in non-small cell lung cancer)

    145-146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 - Non-Small C ell Lung Cancer is the subject of a report. According to news originating from S henzhen, People’s Republic of China, by NewsRx correspondents, research stated, “The prognosis of non-small cell lung cancer (NSCLC) is substantially affected b y lymph node metastasis (LNM), but there are no noninvasive, inexpensive methods of relatively high accuracy available to predict LNM in NSCLC patients. Clinica l data on NSCLC patients were obtained from the Surveillance, Epidemiology, and End Results (SEER) database.”

    Researchers at Beijing Forestry University Report New Data on Agricultural Robot s (Detection of camellia Oleifera Fruit Maturity In Orchards Based On Modified L ightweight Yolo)

    146-147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 Agriculture - Agricult ural Robots is the subject of a report. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research sta ted, “Fruit maturity is the main factor affecting the quality and yield of Camel lia oil. At present, accurate and efficient detection of the maturity level of C amellia oleifera fruits in orchards and enabling selective picking for harvestin g robots is a crucial issue.”

    Findings on Machine Learning Discussed by Investigators at Shanghai University ( Integrating Machine Learning and Robust Optimization for New Product Development : a Consumer and Expert Preference-based Approach)

    147-148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 Machine Learning. According to news reporting originating from Shanghai, People’ s Republic of China, by NewsRx correspondents, research stated, “This study prop oses a novel hybrid decision-making approach that integrates machine learning an d robust optimization for product development and improvement.”

    Studies from Guangzhou University Update Current Data on Machine Learning (Machi ne Learning Approaches for Monitoring Environmental Metal Pollutants: Recent Adv ances In Source Apportionment, Detection, Quantification, and Risk Assessment)

    148-149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 Machine Learning. According to news reporting originating from Guangzhou, People ’s Republic of China, by NewsRx correspondents, research stated, “Metal pollutan ts pose significant and enduring threats to human health and the environment, ma inly due to their non-biodegradable nature. Traditional monitoring of these poll utants involves costly and time-consuming analytical methods.” Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Natural Science Foundation of Guangdong Province, A nalysis and Center of Guangzhou University.

    Harbin Institute of Technology Reports Findings in Robotics (A Motion Planner Ba sed on Mask-D3QN of Quadruped Robot Motion for Steam Generator)

    149-150页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Robotics is the subject of a repo rt. According to news reporting out of Harbin, People’s Republic of China, by Ne wsRx editors, research stated, “Crawling robots are the focus of intelligent ins pection research, and the main feature of this type of robot is the flexibility of in-plane attitude adjustment. The crawling robot HIT_Spibot is a new type of steam generator heat transfer tube inspection robot with a unique m obility capability different from traditional quadrupedal robots.” Funders for this research include National Natural Science Foundation of China, Heilongjiang Provincial Natural Science Foundation of China.

    Data on Machine Learning Reported by David McDonald and Colleagues (MEF-AlloSite : an accurate and robust Multimodel Ensemble Feature selection for the Allosteri c Site identification model)

    150-151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 Birmingham, United Kin gdom, by NewsRx editors, research stated, “A crucial mechanism for controlling t he actions of proteins is allostery. Allosteric modulators have the potential to provide many benefits compared to orthosteric ligands, such as increased select ivity and saturability of their effect.”

    Researchers from Shahrood University of Technology Provide Details of New Studie s and Findings in the Area of Robotics (Optimal Trajectory Planning of a Cable-D riven Parallel Robot by Direct Collocation Approaches)

    151-151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 originating from Shahrood University of Technology b y NewsRx correspondents, research stated, “Trajectory planning in cable-driven r obots is more challenging than rigid-link ones.” Our news journalists obtained a quote from the research from Shahrood University of Technology: “To maintain the robot control, the cable tensions must be posit ive during motion. This paper presents a direct collocation approach to solve th e optimal trajectory planning based on the minimization of a robot’s tension and tension-rate objective functions. Besides, during robot motion, the cables must be tensile. The configuration of a cable parallel robot composed of a 3-cable a nd a prismatic actuator neutralizes the moving platform’s weight while improving tensionability. To generate smooth trajectories, the proposed method is compare d with two standard approaches: GPOPS-II software package which uses Legendre-Ga uss-Radu quadrature orthogonal collocation polynomials and direct collocation by using B-spline interpolation curves. Despite the efficiency of using B-spline f unctions in trajectory planning, numerical simulations demonstrate that the Herm ite-Simpson direct collocation approach has a substantial benefit in the computa tion cost and accuracy for trajectory planning of a cable-driven parallel robot. ”

    Report Summarizes Machine Learning Study Findings from University of North Carol ina Greensboro (Major and Trace Mineral Composition of Milk From Lactating Women Following Vegan, Vegetarian and Omnivore Diets)

    152-152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 in Greensboro, No rth Carolina, by NewsRx journalists, research stated, “Approximately one-in-ten reproductive age adults in the USA follow a plant-based diet, yet there is limit ed information on the influence of vegan and vegetarian diets on the mineral com position of breast milk. This study explored the major and trace mineral composi tion in breast milk and associations with maternal diet patterns.” Funders for this research include Vegetarian Nutrition Dietetic Practice Group, Academy of Nutrition and Dietetics Foundation, Vegetarian Nutrition Dietetic Pra ctice Group, Academy of Nutrition and Dietetics Foundation ).

    New Findings on Machine Learning from Jiangxi Normal University Summarized (A Ne w Approach To Estimate Total Nitrogen Concentration In a Seasonal Lake Based On Multi-source Data Methodology)

    153-153页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Nanchang, People’s Re public of China, by NewsRx correspondents, research stated, “Nitrogen, a key lim iter in lake eutrophication, presents serious threats to both human health and e cological balance. Despite its non-optically active nature, this study introduce s an advanced retrieval approach for total nitrogen, utilizing a synthesis of mu lti-source data and sophisticated machine learning algorithms to markedly boost estimation precision.”

    Research Data from Chongqing University Update Understanding of Liquid State Mac hines (Ghost Reservoir: a Memory-efficient Low-power and Real-time Neuromorphic Processor of Liquid State Machine With On-chip Learning)

    154-154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 Liquid State Machines is the subject of a report. According to news reporting from Chongqing, People’s Republic of China, by NewsRx journalists, research stated, “Neuromorphic proces sors commonly execute spiking neural networks (SNN) models to obtain high energy efficiency. Compared to standard SNNs, liquid state machine (LSM), the spiking variant of reservoir computing, exhibits advantages in image classification, and are especially more promising in speech recognition.”