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    Researchers' Work from National Center for Scientific Research (CNRS) Focuses on Machine Learning (Vehicular Network Anomaly Detection Based On 2-step Deep Lear ning Framework)

    126-127页
    查看更多>>摘要：Current study results on Machine Learn ing have been published. According to news reporting from Valenciennes, France, by NewsRx journalists, research stated, "Intelligent Transportation System (ITS) is one of the newest technologies in the transportation sector that will give h ope for better driving safety. Not only in terms of driving safety, but ITS will give also hope for driving comfort." Financial support for this research came from Directorate General of Higher Educ ation, Research and Technology (DITJEN DIKTI) of Indonesia.
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    New Machine Learning Findings from Sun Yat-sen University Reported (Explainable Optimized 3d-morse Descriptors for the Power Conversion Efficiency Prediction of Molecular Passivated Perovskite Solar Cells Through Machine Learning)

    127-128页
    查看更多>>摘要：A new study on Machine Learning is now available. According to news reporting out of Guangdong, People's Republic of C hina, by NewsRx editors, research stated, "Interface molecular passivation is wi dely utilized to improve the performance and stability of perovskite solar cells (PSCs). However, designing efficient passivation molecules is still challenging ." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Guangzhou Science and Technology Programme, Key Laboratory o f Special Function Materials and Structure Design at Lanzhou University.
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    Department of Orthopedics Reports Findings in Cancer Gene Therapy (Combining bio informatics, network pharmacology, and artificial intelligence to predict the me chanism of resveratrol in the treatment of rheumatoid arthritis)

    128-129页
    查看更多>>摘要：New research on Biotechnology -Cancer Gene Therapy is the subject of a report. According to news reporting out of Sha nghai, People's Republic of China, by NewsRx editors, research stated, "Rheumato id arthritis (RA) is a chronic autoimmune disorder that causes joint inflammatio n and destruction, resulting in significant physical and economic burdens. Findi ng effective and targeted therapy for RA remains a top priority."
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    Researchers at Polytechnic University Milan Publish New Data on Machine Learning (Sand blasting for hydrophobic surface generation in polymers: Experimental and machine learning approaches)

    129-130页
    查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Milan, Italy, by NewsRx editors, research stated, "Wettability is a crucial surface feature of polymers due to their numerous interaction-destined applications."Funders for this research include China Scholarship Council.
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    Department of Rehabilitation Medicine Reports Findings in Artificial Intelligenc e (Bibliometric and visualized analysis of the application of artificial intelli gence in stroke)

    130-131页
    查看更多>>摘要：New research on Artificial Intelligenc e is the subject of a report. According to news originating from Wuhan, People's Republic of China, by NewsRx correspondents, research stated, "Stroke stands as a prominent cause of mortality and disability worldwide, posing a major public health concern. Recent years have witnessed rapid advancements in artificial int elligence (AI)." Our news journalists obtained a quote from the research from the Department of R ehabilitation Medicine, "Studies have explored the utilization of AI in imaging analysis, assistive rehabilitation, treatment, clinical decision-making, and out come and risk prediction concerning stroke. However, there is still a lack of sy stematic bibliometric analysis to discern the current research status, hotspots, and possible future development trends of AI applications in stroke. The public ations on the application of AI in stroke were retrieved from the Web of Science Core Collection, spanning 2004-2024. Only articles or reviews published in Engl ish were included in this study. Subsequently, a manual screening process was em ployed to eliminate literature not pertinent to the topic. Visualization diagram s for comprehensive and in-depth analysis of the included literature were genera ted using CiteSpace, VOSviewer, and Charticulator. This bibliometric analysis in cluded a total of 2,447 papers, and the annual publication volume shows a notabl e upward trajectory. The most prolific authors, countries, and institutions are Dukelow, Sean P., China, and the University of Calgary, respectively, making sig nificant contributions to the advancement of this field. Notably, stable collabo rative networks among authors and institutions have formed. Through clustering a nd citation burst analysis of keywords and references, the current research hots pots have been identified, including machine learning, deep learning, and AI app lications in stroke rehabilitation and imaging for early diagnosis. Moreover, em erging research trends focus on machine learning as well as stroke outcomes and risk prediction. This study provides a comprehensive and in-depth analysis of th e literature regarding AI in stroke, facilitating a rapid comprehension of the d evelopment status, cooperative networks, and research priorities within the fiel d."
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    Reports from Xi'an Jiaotong Liverpool University Provide New Insights into Machi ne Learning (Enhancing Financial Time Series Forecasting In the Shipping Market: a Hybrid Approach With Light Gradient Boosting Machine)

    131-132页
    查看更多>>摘要：Investigators publish new report on Ma chine Learning. According to news reporting from Suzhou, People's Republic of Ch ina, by NewsRx journalists, research stated, "Accurately forecasting financial t ime series in the dynamic shipping market is vital for stakeholders, such as shi powners, investors, brokers, and shipyards. This paper introduces an innovative hybrid machine learning model leveraging Light Gradient Boosting Machine (LightG BM) to enhance financial time series predictions within the international shippi ng sector."
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    Investigators from Shandong University of Science and Technology Zero in on Comp utational Intelligence (Arc: a Layer Replacement Compression Method Based On Fin e-grained Self-attention Distillation for Compressing Pre-trained Language Model s)

    132-133页
    查看更多>>摘要：Investigators discuss new findings in Machine Learning -Computational Intelligence. According to news originating fro m Qingdao, People's Republic of China, by NewsRx correspondents, research stated , "The primary objective of model compression is to maintain the performance of the original model while reducing its size as much as possible. Knowledge distil lation has become the mainstream method in the field of model compression due to its excellent performance." Financial supporters for this research include Shandong Province Key R& D Program (Soft Science Project), Shandong Nature Science Foundation of China.
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    St. Petersburg University Researcher Adds New Findings in the Area of Machine Le arning (Simulation of Shock Waves in Methane: A Self-Consistent Continuum Approa ch Enhanced Using Machine Learning)

    133-134页
    查看更多>>摘要：Investigators publish new report on ar tificial intelligence. According to news originating from St. Petersburg, Russia , by NewsRx editors, the research stated, "This study presents a self-consistent one-temperature approach for modeling shock waves in single-component methane." Funders for this research include Ministry of Science And Higher Education of Th e Russian Federation. Our news correspondents obtained a quote from the research from St. Petersburg U niversity: "The rigorous mathematical model takes into account the complex struc ture of CH4 molecules with multiple vibrational modes and incorporates exact kin etic theory-based transport coefficients, including bulk viscosity. The effects of the bulk viscosity on gas-dynamic variables and transport terms are investiga ted in detail under varying degree of gas rarefaction. It is demonstrated that n eglecting bulk viscosity significantly alters the shock front width and peak val ues of normal stress and heat flux, with the effect being more evident in denser gases. The study also evaluates limitations in the use of a constant specific h eat ratio, revealing that this approach fails to accurately predict post-shock p arameters in polyatomic gases, even at moderate Mach numbers. To enhance computa tional efficiency, a simplified approach based on a reduced vibrational spectrum is assessed. The results indicate that considering only the ground state leads to substantial errors in the fluid-dynamic variables across the shock front."
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    Studies from Harbin Institute of Technology Update Current Data on Robotics (Res earch on the configuration of a balanced disability rehabilitation robot based o n redundant degrees of freedom)

    134-135页
    查看更多>>摘要：New research on robotics is the subjec t of a new report. According to news originating from Harbin, People's Republic of China, by NewsRx correspondents, research stated, "A new configuration of a 9 -degree-of-freedom (DOF) robot has been designed to address the prevalence of ba lance disorders in patients and the increasing demand for exercise rehabilitatio n training." Our news reporters obtained a quote from the research from Harbin Institute of T echnology: "This lower-limb end rehabilitation robot can assist patients with re petitive movements to stimulate and rebuild their nervous system and improve the ir pelvic and muscle motion control abilities. Starting from functional requirem ents, multiple robot configuration design schemes are proposed, and various perf ormance indicators are comprehensively considered to ultimately select and optim ize a 9-DOF redundant series-parallel hybrid robot and complete its kinematic an alysis and derivation. This robot consists of a 6-DOF vestibular parallel device and a 3-DOF proprioceptive parallel device in series, which are modular in stru cture and function while retaining the advantages of the strong load-bearing cap acity of series robots and the large workspace of parallel robots."
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    New Robotics Findings Reported from University of Seville [Ex perimental Backward Integration for State-dependent Differential Riccati Equatio n (Sddre): a Case Study On Flapping-wing Flying Robot]

    135-136页
    查看更多>>摘要：Fresh data on Robotics are presented i n a new report. According to news reporting originating in Seville, Spain, by Ne wsRx journalists, research stated, "Backward integration (BI) is a classical app roach for solving optimal control arising from linear quadratic regulator (LQR) design in differential form. It proposes a two-round solution, the first one sta rting from a final boundary condition to the initial one to generate the optimal gain, and the next one, solving the control system in a forward loop." Financial support for this research came from European Research Council (ERC).
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