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    Findings in Robotics Reported from University of Oxford (Planning Under Uncertai nty for Safe Robot Exploration Using Gaussian Process Prediction)

    115-116页
    查看更多>>摘要：2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Current study results on Robotics have been publi shed. According to news originating from Oxford, United Kingdom, by NewsRx corre spondents, research stated, "The exploration of new environments is a crucial ch allenge for mobile robots. This task becomes even more complex with the added re quirement of ensuring safety." Financial supporters for this research include Engineering & Physi cal Sciences Research Council (EPSRC), UK Research & Innovation (U KRI), Amazon Web Services. Our news journalists obtained a quote from the research from the University of O xford, "Here, safety refers to the robot staying in regions where the values of certain environmental conditions (such as terrain steepness or radiation levels) are within a predefined threshold. We consider two types of safe exploration pr oblems. First, the robot has a map of its workspace, but the values of the envir onmental features relevant to safety are unknown beforehand and must be explored . Second, both the map and the environmental features are unknown, and the robot must build a map whilst remaining safe. Our proposed framework uses a Gaussian process to predict the value of the environmental features in unvisited regions. We then build a Markov decision process that integrates the Gaussian process pr edictions with the transition probabilities of the environmental model. The Mark ov decision process is then incorporated into an exploration algorithm that deci des which new region of the environment to explore based on information value, p redicted safety, and distance from the current position of the robot."
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    Heinrich-Heine-University Reports Findings in Machine Learning (SPOT: A machine learning model that predicts specific substrates for transport proteins)

    116-117页
    查看更多>>摘要：024 OCT 08 (NewsRx)-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 Dusseldorf, Germany, b y NewsRx correspondents, research stated, "Transport proteins play a crucial rol e in cellular metabolism and are central to many aspects of molecular biology an d medicine. Determining the function of transport proteins experimentally is cha llenging, as they become unstable when isolated from cell membranes." Financial supporters for this research include H2020 European Research Council, Deutsche Forschungsgemeinschaft, Deutsche Forschungsgemeinschaft.
      原文链接:
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    Chang'an University Reports Findings in Support Vector Machines (Analysis of inf luencing factors of traffic accidents on urban ring road based on the SVM model optimized by Bayesian method)

    117-118页
    查看更多>>摘要：New research on Machine Learning-Sup port Vector Machines is the subject of a report. According to news reporting ori ginating from Xi'an, People's Republic of China, by NewsRx correspondents, resea rch stated, "Based on small scale sample of accident data from specific scenario s, fully exploring the potential influencing factors of the severity of traffic accidents has become a key and effective research method. In order to analyze th e factors mentioned above in the scenario of urban ring roads, this paper collec ted data records of 1250 traffic accidents involving different severity on urban ring road of a central city in northwest China in the past 3 years." Financial supporters for this research include Science&Technology D evelopment Fund of Tianjin Education Commission for Higher Education, Tianjin Mu nicipal Transportation Commission Science and Technology Development Plan Projec t.
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    Researchers from Southeast University Detail Findings in Machine Learning (Predi cting the Porosity of As-built Additive Manufactured Samples Based On Machine Le arning Method for Small Datasets)

    118-119页
    查看更多>>摘要：Current study results on Machine Learn ing have been published. According to news reporting from Nanjing, People's Repu blic of China, by NewsRx journalists, research stated, "With the widespread appl ication of ML in studying PSP relationships within the realm of AM, the accuracy of data becomes paramount for the performance of ML models on small datasets. I n this study, the DBSCAN algorithm was utilized to identify and eliminate noise points from the porosity dataset of IN718 as-built parts, which were fabricated by QCW laser DMD." Funders for this research include Strengthening Program Projects, Graduate resea rch and innovation pro-jects in Jiangsu Province, Pro-gram to Cultivate Middle-a ged and Young Science Leaders of Colleges and Universities of Jiangsu Province, China.
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    Researchers at Beijing Institute of Technology Have Reported New Data on Artific ial Intelligence (Artificial Intelligence for Web 3.0: a Comprehensive Survey)

    119-120页
    查看更多>>摘要：A new study on Artificial Intelligence is now available. According to news reporting originating in Beijing, People's Republic of China, by NewsRx journalists, research stated, "Web 3.0 is the next generation of the Internet built on decentralized technologies such as blockchai n and cryptography. It is born to solve the problems faced by the previous gener ation of the Internet such as imbalanced distribution of interests, monopoly of platform resources, and leakage of personal privacy." Financial supporters for this research include National Key R&D Pro gram of China, National Natural Science Foundation of China (NSFC), Beijing Muni cipal Science & Technology Commission, Beijing Natural Science Fou ndation, National Research Foundation, Singapore, Infocomm Media Development Aut hority, Defence Science Organisation (DSO) National Laboratories under the AI Si ngapore Programme, Ministry of Education, Singapore.
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    Division of Nuclear Medicine Reports Findings in Prostate Cancer (A Machine Lear ning Approach for Predicting Biochemical Outcome After PSMA-PET-Guided Salvage R adiotherapy in Recurrent Prostate Cancer After Radical Prostatectomy: Retrospect ive ...)

    120-121页
    查看更多>>摘要：New research on Oncology-Prostate Ca ncer is the subject of a report. According to news reporting originating from Bo logna, Italy, by NewsRx correspondents, research stated, "Salvage radiation ther apy (sRT) is often the sole curative option in patients with biochemical recurre nce after radical prostatectomy. After sRT, we developed and validated a nomogra m to predict freedom from biochemical failure." Our news editors obtained a quote from the research from the Division of Nuclear Medicine, "This study aims to evaluate prostate-specific membrane antigen-posit ron emission tomography (PSMA-PET)-based sRT efficacy for postprostatectomy pros tate-specific antigen (PSA) persistence or recurrence. Objectives include develo ping a random survival forest (RSF) model for predicting biochemical failure, co mparing it with a Cox model, and assessing predictive accuracy over time. Multin ational cohort data will validate the model's performance, aiming to improve cli nical management of recurrent prostate cancer. This multicenter retrospective st udy collected data from 13 medical facilities across 5 countries: Germany, Cypru s, Australia, Italy, and Switzerland. A total of 1029 patients who underwent sRT following PSMAPET- based assessment for PSA persistence or recurrence were incl uded. Patients were treated between July 2013 and June 2020, with clinical decis ions guided by PSMA-PET results and contemporary standards. The primary end poin t was freedom from biochemical failure, defined as 2 consecutive PSA rises > 0.2 ng/mL after treatment. Data were divided into training (708 patients), testi ng (271 patients), and external validation (50 patients) sets for machine learni ng algorithm development and validation. RSF models were used, with 1000 trees p er model, optimizing predictive performance using the Harrell concordance index and Brier score. Statistical analysis used R Statistical Software (R Foundation for Statistical Computing), and ethical approval was obtained from participating institutions. Baseline characteristics of 1029 patients undergoing sRT PSMA-PET -based assessment were analyzed. The median age at sRT was 70 (IQR 64-74) years. PSMA-PET scans revealed local recurrences in 43.9% (430/979) and nodal recurrences in 27.2% (266/979) of patients. Treatment includ ed dose-escalated sRT to pelvic lymphatics in 35.6% (349/979) of c ases. The external outlier validation set showed distinct features, including hi gher rates of positive lymph nodes (47/50, 94% vs 266/979, 27.2% in the learning cohort) and lower delivered sRT doses ( <66 Gy in 57/979, 5.8% vs 46/50, 92% of patients; P<.001). The RSF model, validated internally and externally, demonstrated robust p redictive performance (Harrell C-index range: 0.54-0.91) across training and val idation datasets, outperforming a previously published nomogram."
      原文链接:
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    New Findings Reported from Southwest University of Science and Technology Descri be Advances in Robotics (Friction Modulation Through Normal Vibrations In an Inc hworm-inspired Robot)

    121-122页
    查看更多>>摘要：Data detailed on Robotics have been pr esented. According to news reporting from Mianyang, People's Republic of China, by NewsRx journalists, research stated, "The inchworm ‘ s locomotion strategy ha s significantly influenced bionic robotics research, guiding efforts to mimic it s structural and movement characteristics. This study introduces an innovative m ethod to modulate horizontal friction in an inchworm-inspired robot using normal vibrations." Funders for this research include National Natural Science Foundation of China ( NSFC), Natural Science Foundation of Southwest University of Science and Technol ogy. The news correspondents obtained a quote from the research from the Southwest Un iversity of Science and Technology, "By harnessing the dynamics between friction forces, self-deformation, and normal excitations, the robot can mimic crawling motion. A simplified mechanical model is established to reveal the robot ‘ s mov ement. And the numerical simulations are conducted to analyze the influence of e xcitation and friction coefficients on the robot ‘ s movement. The findings reve al that the robot ‘ s velocity initially increases and then decreases as the exc itation frequency increases, signifying the feasibility of achieving precise con trol through normal excitations."
      原文链接:
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    Universitas Islam Indonesia Researchers Add New Study Findings to Research in Su pport Vector Machines (K-Medoids and Support Vector Machine in Predicting the Le vel og Building Damage in Earthquake Insurance Modeling)

    122-122页
    查看更多>>摘要：Investigators publish new report on . According to news reporting out of Yogyakarta, Indonesia, by NewsRx editors, res earch stated, "Yogyakarta, an Indonesian province prone to earthquakes, frequent ly suffers extensive damage to buildings, necessitating insurance coverage to mi tigate potential losses." The news reporters obtained a quote from the research from Universitas Islam Ind onesia: "This study aims to forecast earthquake insurance premiums by predicting building damage levels resulting from earthquakes. Utilizing data from building s affected by the June 30, 2023, earthquake in Yogyakarta, we employ K-Medoids C lustering and Support Vector Machine (SVM) to predict two categories of building damage: minor (labelled as 1) and heavy (labelled as 2). The total premiums for minor damage range from approximately USD 86.55 to USD 288.50, while for heavy damage, they range from USD 120.05 to USD 400.18 using the K-Medoids algorithm."
      原文链接:
    • NETL
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    Changchun University of Chinese Medicine Reports Findings in Machine Learning (A nalysis of sediment re-formation factors after ginseng beverage clarification ba sed on XGBoost machine learning algorithm)

    123-123页
    查看更多>>摘要：2024 OCT 08 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-New research on Machine Learning is the subject o f a report. According to news reporting originating in Changchun, People's Repub lic of China, by NewsRx journalists, research stated, "The aim of this study was to explore the sediment re-formation factors of ginseng beverages subjected to four clarification ways (11 subgroups) including the ethanol precipitation, enzy matic treatment, clarifier clarification, and Hollow Fiber Column (HFC) methods, based on the Extreme Gradient Boosting (XGBoost) model. The results showed that the clarity of the ginseng beverages was significantly improved by all the clar ification treatments, but still formed sediment after storage." The news reporters obtained a quote from the research from the Changchun Univers ity of Chinese Medicine, "HFC method exhibited the highest transmittance, the le ast sediment, and stronger antioxidant activity in the clarification treatment g roups. According to the results of chemical composition analyses and partition c oefficients, carbohydrates, saponins, proteins and metal elements were involved in varying degrees in the re-formation of the sediments in ginseng beverage afte r clarification."
      原文链接:
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    Findings in the Area of Robotics Reported from University of Bundeswehr (3d Volu me Construction Methodology for Cold Spray Additive Manufacturing)

    124-124页
    查看更多>>摘要：Investigators publish new report on Ro botics. According to news reporting originating from Hamburg, Germany, by NewsRx correspondents, research stated, "Cold spraying has proved as an attractive and rapidly developing solid-state material deposition process that allows for fast formation of high quality, large 3D volume objects. Low risks of undesirable he at effects lead to increased interest in cold spraying based rapid additive manu facturing." Financial supporters for this research include Project "CORE-Computer-based Re furbishment" by dtec.bw-Digitalization and Technology Research Center of the B undeswehr, European Union-NextGenerationEU.
      原文链接:
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