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    Investigators from Xi'an International Studies University Have Reported New Data on Machine Translation (Language Relatedness Evaluation for Multilingual Neural Machine Translation)

    29-30页
    查看更多>>摘要：Investigators discuss new findings in Machine Translation. According to news reporting out of Shaanxi, People's Republic of China, by NewsRx editors, research stated, "Multilingual neural machine translation (MNMT) has attracted more and more attention in recent days because it can use a single neural machine translation (NMT) model to translate between multiple languages. As several languages are involved in MNMT, recent studies have shown that using part of these languages rather than all of them to train the model leads to comparable results." Funders for this research include National Natural Science Foundation of China (NSFC), Project of The Construction of the International Communication Competences under Shaanxi Federation of Social Sciences Circles, Shaanxi Provincial Education Department.
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Imperial College London Reports Findings in Machine Learning (Machine learning topological defects in confluent tissues)

    29-29页
    查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting originating from London, United Kingdom, by NewsRx correspondents, research stated, "Active nematics is an emerging paradigm for characterizing biological systems. One aspect of particularly intense focus is the role active nematic defects play in these systems, as they have been found to mediate a growing number of biological processes."
      原文链接:
    • NETL
    • NSTL

    Studies from Charles Darwin University Add New Findings in the Area of Machine Learning (Tree-based Machine Learning Approach To Modelling Tensile Strength Retention of Fibre Reinforced Polymer Composites Exposed To Elevated Temperatures)

    30-31页
    查看更多>>摘要：Research findings on Machine Learning are discussed in a new report. According to news originating from Darwin, Australia, by NewsRx correspondents, research stated, "Fibre Reinforced Polymer (FRP) composites are susceptible to degradation at elevated temperatures. Accurate modelling of the tensile performance of FRP composites under high-temperature exposure is crucial for their structural integrity." Our news journalists obtained a quote from the research from Charles Darwin University, "In this study, tree-based models, namely, decision tree, M5P, and random forest methods, are utilised to model the impact of elevated temperatures on the tensile strength of composite materials. A database of 787 experimental results is established and processed to train and test the regression tree models. The exposure temperature, resin glass transition temperature, sample thickness/diameter, exposure duration, ambient cooling, fibre-toresin ratio, fibre orientation, resin type, fibre type, and manufacturing process were considered as the main parameters affecting the tensile strength retention (TSR) of FRP composites after exposure to elevated temperatures. To improve the prediction performance of machine learning, Bayesian optimisation and 10- fold cross validation (CV) technique were used to train regression tree methods. The results demonstrated the accuracy of the developed models in predicting the TSR of the composites under elevated temperatures. Feature contribution analysis showed that the exposure temperature exerts the most significant impact on the TSR, with the glass transition temperature coming next in importance. These were followed by sample thickness, exposure duration, ambient cooling, fibre-to-resin ratio, and fibre orientation, respectively. Resin type, fibre type, and the manufacturing process had the least contributions to the observed variations in TSR."
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Shanxi University of Chinese Medicine Reports Findings in Deep Vein Thrombosis (Construction and validation of a clinical prediction model for deep vein thrombosis in patients with digestive system tumors based on a machine learning)

    31-32页
    查看更多>>摘要：New research on Cardiovascular Diseases and Conditions - Deep Vein Thrombosis is the subject of a report. According to news originating from Shanxi, People's Republic of China, by NewsRx correspondents, research stated, "This study developed a deep vein thrombosis (DVT) risk prediction model based on multiple machine learning methods for patients with digestive system tumors undergoing surgical treatment. Data of 1048 patients with digestive system tumors admitted to Shanxi Provincial People's Hospital (College of Shanxi Medical University) from January 2020 to January 2023 were retrospectively analyzed, and 845 cases were screened according to the inclusion and exclusion criteria."
      原文链接:
    • NETL
    • NSTL

    Investigators from Northwest University Release New Data on Machine Learning (Cracking of Heavy-inferior Oils With Different Alkane-aromatic Ratios To Aromatics Over Mfi Zeolites: Structureactivity Relationship Derived By Machine Learning)

    32-33页
    查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news reporting originating in Shaanxi, People's Republic of China, by NewsRx journalists, research stated, "This paper investigated the performance of catalysts with different morphology in cracking of heavy-inferior oil (HIO) to aromatics with different alkane-aromatic ratios (AAR), which include high and low-temperature coal tar (HMCT, SMCT), liquid products of coal-oil co-refining (LCOCR and HCOCR) and petroleum (YLP). The experimental results indicated that Na+ and OH- have a competitive effect on the catalyst morphology, and that low alkalinity in the synthesis system favors the synthesis of 2D zeolites."
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Studies from Tsinghua University Provide New Data on Robotics (Saccade Response Testing During Teleoperations With a Headmounted Display)

    33-34页
    查看更多>>摘要：Investigators publish new report on Robotics. According to news originating from Beijing, People's Republic of China, by NewsRx correspondents, research stated, "Head-mounted displays (HMD) are increasingly used for teleoperating robots that stream video to the operator in real time. Eye- tracking sensors that can record saccadic eye movements non-intrusively are becoming a standard feature in HMDs." Funders for this research include Shuimu Tsinghua Scholar Program, Horizon 2020, Bevica Foundation, China Scholarship Council.
      原文链接:
    • NETL
    • NSTL
    • Springer Nature

    Researchers at Free University Berlin Target Machine Learning (Towards Provably Efficient Quantum Algorithms for Large-scale Machine-learning Models)

    34-35页
    查看更多>>摘要：Fresh data on Machine Learning are presented in a new report. According to news originating from Berlin, Germany, by NewsRx correspondents, research stated, "Large machine learning models are revolutionary technologies of artificial intelligence whose bottlenecks include huge computational expenses, power, and time used both in the pre-training and fine-tuning process. In this work, we show that faulttolerant quantum computing could possibly provide provably efficient resolutions for generic (stochastic) gradient descent algorithms, scaling as O(T-2 x polylog(n)), where n is the size of the models and T is the number of iterations in the training, as long as the models are both sufficiently dissipative and sparse, with small learning rates."
      原文链接:
    • NETL
    • NSTL

    University of Modena and Reggio Emilia Reports Findings in Robotics (Robotic ALPPS for primary and metastatic liver tumours: short-term outcomes versus open approach)

    35-36页
    查看更多>>摘要：New research on Robotics is the subject of a report. According to news reporting originating in Modena, Italy, by NewsRx journalists, research stated, "Associating Liver Partition and Portal vein ligation for Staged hepatectomy (ALPPS) is one of the strategies available for patients initially unresectable. High risk of peri-operative morbidity and mortality limited its application and diffusion." The news reporters obtained a quote from the research from the University of Modena and Reggio Emilia, "We aimed to analyse short-term outcomes of robotic ALPPS versus open approach, to assess safety and reproducibility of this technique. A retrospective analysis of prospectively maintained databases at University of Modena and Reggio Emilia on patients that underwent ALPPS between January 2015 and September 2022 was conducted. The main aim of the study was to evaluate safety and feasibility of robotic approach, either full robotic or only first-stage robotic, compared to a control group of patients who underwent open ALPPS in the same Institution. 23 patients were included. Nine patients received a full open ALPPS (O-ALPPS), 7 received a full robotic ALPPS (R-ALPPS), and 7 underwent a robotic approach for stage 1, followed by an open approach for stage 2 (R + O-ALPPS). PHLF grade B-C after stage 1 was 0% in all groups, rising to 58% in the R + O-ALPPS group after stage 2 and remaining 0% in the R-ALPPS group. 86% of R-ALPPS cases were discharged from the hospital between stages 1 and 2, and median total in-hospital stay and ICU stay favoured full robotic approach as well."
      原文链接:
    • NETL
    • NSTL

    New Machine Learning Findings from School of Resources & Safety Engineering Discussed (State-of-the-art Review of Machine Learning and Optimization Algorithms Applications In Environmental Effects of Blasting)

    36-37页
    查看更多>>摘要：Fresh data on Machine Learning are presented in a new report. According to news reporting originating from Changsha, People's Republic of China, by NewsRx correspondents, research stated, "The technological difficulties related with blasting operations have become increasingly significant. It is crucial to give due consideration to the evaluation of rock fragmentation and the threats posed by environmental effect of blasting (EEB)." Funders for this research include National Natural Science Foundation of China (NSFC), National Natural Science Foundation of China (NSFC), Distinguished Youth Science Foundation of Hunan Province of China.
      原文链接:
    • NETL
    • NSTL
    • Springer Nature

    Reports Summarize Machine Learning Study Results from University of Southampton (Subjective Machines: Probabilistic Risk Assessment Based On Deep Learning of Soft Information)

    37-38页
    查看更多>>摘要：Fresh data on Machine Learning are presented in a new report. According to news reporting originating in Southampton, United Kingdom, by NewsRx journalists, research stated, "For several years machine learning methods have been proposed for risk classification. While machine learning methods have also been used for failure diagnosis and condition monitoring, to the best of our knowledge, these methods have not been used for probabilistic risk assessment." Financial supporters for this research include Economic & Social Research Council (ESRC), Natural Sciences and Engineering Research Council of Canada (NSERC), Canada Research Chairs.
      原文链接:
    • NETL
    • NSTL
    • Wiley