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Hangzhou Dianzi University Reports Findings in Artificial Intelligence (Artifici al-Intelligence-Enhanced On-the-Fly Simulation of Nonlinear Time-Resolved Spectr a)

87-88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 Artificial Intelligenc e is the subject of a report.According to news reporting originating from Zheji ang,People's Republic of China,by NewsRx correspondents,research stated,"Tim e-resolved spectroscopy is an important tool for unraveling the minute details o f structural changes in molecules of biological and technological significance.The nonlinear femtosecond signals detected for such systems must be interpreted,but it is a challenging task for which theoretical simulations are often indisp ensable." Our news editors obtained a quote from the research from Hangzhou Dianzi Univers ity,"Accurate simulations of transient absorption or two-dimensional electronic spectra are,however,computationally very expensive,prohibiting the wider ado ption of existing first-principles methods.Here,we report an artificial-intell igence-enhanced protocol to drastically reduce the computational cost of simulat ing nonlinear time-resolved electronic spectra,which makes such simulations aff ordable for polyatomic molecules of increasing size.The protocol is based on th e doorway-window approach for the on-the-fly surface-hopping simulations."

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First Affiliated Hospital of Jinan University Reports Findings in Prostate Cance r (Identification of a 9-gene signature to enhance biochemical recurrence predic tion in primary prostate cancer:A benchmarking study using ten machine learning ...)

88-89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 - Prostate Ca ncer is the subject of a report.According to news reporting originating in Guan gdong,People's Republic of China,by NewsRx journalists,research stated,"Pros tate cancer (PCa) is a prevalent malignancy among men worldwide,and biochemical recurrence (BCR) after radical prostatectomy (RP) is a critical turning point c ommonly used to guide the development of treatment strategies for primary PCa.H owever,the clinical parameters currently in use are inadequate for precise risk stratification and informing treatment choice." The news reporters obtained a quote from the research from the First Affiliated Hospital of Jinan University,"To address this issue,we conducted a study that collected transcriptomic data and clinical information from 1662 primary PCa pat ients across 12 multicenter cohorts globally.We leveraged 101 algorithm combina tions that consisted of 10 machine learning methods to develop and validate a 9- gene signature,named BCR SCR,for predicting the risk of BCR after RP.Our resu lts demonstrated that BCR SCR generally outperformed 102 published prognostic si gnatures.We further established the clinical significance of these nine genes i n PCa progression at the protein level through immunohistochemistry on Tissue Mi croarray (TMA).Moreover,our data showed that patients with higher BCR SCR tend ed to have higher rates of BCR and distant metastasis after radical radiotherapy .Through drug target prediction analysis,we identified nine potential therapeu tic agents for patients with high BCR SCR."

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Recent Findings in Robotics Described by Researchers from Zhejiang Science Techn ical University (Autonomous Gait Switching Method and Experiments of a Hexapod W alking Robot for Mars Environment With Multiple Terrains)

89-90页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ro botics.According to news reporting out of Hangzhou,People's Republic of China,by NewsRx editors,research stated,"Mars exploration significantly advances ou r understanding of planetary evolution,the origin of life,and possibilities fo r Earth's future.It also holds potential for discovering new mineral resources,energy sources,and potential settlement sites." Financial support for this research came from Natural Science Foundation of Zhej iang Province.Our news journalists obtained a quote from the research from Zhejiang Science Te chnical University,"Navigating Mars' complex environment and unknown terrain is a formidable challenge,particularly for autonomous exploration.The hexapod wa lking robot,inspired by ant morphology,emerges as a robust solution.This desi gn offers diverse gait options,mechanical redundancy,high fault tolerance,and stability,rendering it well suited for Martian terrain.This paper details the development of an ant-inspired hexapod robot,emphasizing its terrain adaptabil ity on Mars.A novel terrain detection method utilizing a convolutional neural n etwork enables efficient identification of varied terrain types through semantic segmentation of visual images.Additionally,we introduce a comprehensive motio n performance evaluation index for the hexapod robot,including speed and stabil ity.These metrics facilitate effective performance assessment in different envi ronments.A key innovation is the proposed gait switching method for the hexapod robot.This approach allows seamless transition between gaits while in motion,enhancing the robot's ability to traverse challenging terrains.The experimental results validate the effectiveness of this method.Utilizing gait switching lea ds to a significant improvement in robot performance and stability-58.5 % and 41.4% better than using tripod and amble gaits,respectively.Compared to single tripod,amble,and wave gaits,the comprehensive motion perfo rmance indices of the robot improved by 36.3%,30.6%,and 41.1%,respectively.This study can provide new ideas and metho ds for the motion evaluation and adaptive gait switching of multilegged robots i n complex terrains."

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University of Science and Technology of China Reports Findings in Machine Learni ng (Spectra-Based Machine Learning for Predicting the Statistical Interaction Pr operties of CO Adsorbates on Surface)

90-91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 from Hefei,Peopl e's Republic of China,by NewsRx correspondents,research stated,"Theoretical a nalyses of small-molecule adsorption on heterogeneous catalyst surfaces often re ly on simplified models of molecular adsorption with the most favorable configur ation.Given that real-world experimental tests frequently entail multiple molec ules interacting with the surface,there is a pressing need for a comprehensive multimolecule adsorption model to bridge the gap between theory and experiment." Our news editors obtained a quote from the research from the University of Scien ce and Technology of China,"Using machine learning,we predict the average valu es of important adsorption properties from conformationally averaged,calculated infrared and Raman spectra and compare these values to those theoretically deri ved from the conformationally averaged ensemble.Remarkably,our approach yields excellent predictions even when faced with large and indeterminate numbers of s urface molecules."

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Data from College of Business Administration Update Knowledge in Artificial Inte lligence (The Impact of Artificial Intelligence on Language Translation:A Revie w)

91-92页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on artificial intelligence is now available.According to news reporting originating from the College of B usiness Administration by NewsRx correspondents,research stated,"In the contex t of a more linked and globalized society,the significance of proficient cross- cultural communication has been increasing to a position of utmost importance." Financial supporters for this research include A'sharqiyah University.The news correspondents obtained a quote from the research from College of Busin ess Administration:"Language functions as a crucial medium that establishes con nections among people,corporations,and countries,demanding the implementation of precise and effective translation systems.This comprehensive review paper a ims to contribute to the evolving landscape of AI-driven language translation by critically examining the existing literature,identifying key debates,and unco vering areas of innovation and limitations.The primary objective is to provide a nuanced understanding of the current state of AI-driven language translation,emphasizing the advancements,challenges,and ethical considerations.In this re view,ongoing debates surrounding AI-driven language translations were actively involved.By evaluating different viewpoints and methodologies,insights into un resolved questions that contribute to a broader discourse in the field were prov ided."

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Chinese Academy of Sciences Reports Findings in Robotics (Design and assessment of a reconfigurable behavioral assistive robot:a pilot study)

92-93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 Robotics is the subjec t of a report.According to news originating from Shenyang,People's Republic of China,by NewsRx correspondents,research stated,"For patients with functional motor disorders of the lower limbs due to brain damage or accidental injury,re storing the ability to stand and walk plays an important role in clinical rehabi litation.Lower limb exoskeleton robots generally require patients to convert th emselves to a standing position for use,while being a wearable device with limi ted movement distance." Our news journalists obtained a quote from the research from the Chinese Academy of Sciences,"This paper proposes a reconfigurable behavioral assistive robot t hat integrates the functions of an exoskeleton robot and an assistive standing w heelchair through a novel mechanism.The new mechanism is based on a four-bar li nkage,and through simple and stable conformal transformations,the robot can sw itch between exoskeleton state,sit-to-stand support state,and wheelchair state .This enables the robot to achieve the functions of assisted walking,assisted standing up,supported standing and wheelchair mobility,respectively,thereby m eeting the daily activity needs of sit-to-stand transitions and gait training.T he configuration transformation module controls seamless switching between diffe rent configurations through an industrial computer.Experimental protocols have been developed for wearable testing of robotic prototypes not only for healthy s ubjects but also for simulated hemiplegic patients.The experimental results ind icate that the gait tracking effect during robot-assisted walking is satisfactor y,and there are no sudden speed changes during the assisted standing up process,providing smooth support to the wearer.Meanwhile,the activation of the main force-generating muscles of the legs and the plantar pressure decreases signific antly in healthy subjects and simulated hemiplegic patients wearing the robot fo r assisted walking and assisted standing-up compared to the situation when the r obot is not worn.These experimental findings demonstrate that the reconfigurabl e behavioral assistive robot prototype of this study is effective,reducing the muscular burden on the wearer during walking and standing up,and provide effect ive support for the subject's body."

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John Paul II Catholic University of Lublin (KUL) Researcher Describes Findings in Artificial Intelligence (Artificial Intelligence as a Tool Supporting Prayer P ractices)

93-94页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in artific ial intelligence.According to news originating from Lublin,Poland,by NewsRx c orrespondents,research stated,"This article attempts to describe Poles' attitu des towards AI in the development of Christian prayer as a technology supporting prayer practices." Funders for this research include Educational Research Institute; The John Paul II Catholic University of Lublin.The news reporters obtained a quote from the research from John Paul II Catholic University of Lublin (KUL):"Four research questions were formulated:1.Do the frequency of prayer and engagement in religious practices influence the attitud es of Poles towards prayer programs/applications based on AI technology? 2.Does believers' age affect Poles' attitudes towards prayer programs/applications bas ed on AI? 3.Does believers' place of residence affect the attitude of Poles tow ards AI-based prayer programs/applications? 4.Do current users of the prayer-su pporting applications plan to continue using it,and are new believers consideri ng using it in the future? Research hypotheses were adopted to verify the resear ch problem,with the first,second,and third being positively verified.H1:The higher the level of prayer frequency and engagement in religious practices of r espondents,the more conservative the attitude towards prayer programs/applicati ons based on AI; H2:The age of respondents differentiates the attitudes of Pole s towards prayer programs/applications."

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Findings from Near East University Provide New Insights into Artificial Intellig ence (Harnessing of Artificial Intelligence for the Diagnosis and Prevention of Hospital-Acquired Infections:A Systematic Review)

94-94页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New study results on artificial intell igence have been published.According to news reporting out of Nicosia,Turkey,by NewsRx editors,research stated,"Healthcare-associated infections (HAIs) are the most common adverse events in healthcare and constitute a major global publ ic health concern." The news correspondents obtained a quote from the research from Near East Univer sity:"Surveillance represents the foundation for the effective prevention and c ontrol of HAIs,yet conventional surveillance is costly and labor intensive.Art ificial intelligence (AI) and machine learning (ML) have the potential to suppor t the development of HAI surveillance algorithms for the understanding of HAI ri sk factors,the improvement of patient risk stratification as well as the predic tion and timely detection and prevention of infections.AI-supported systems hav e so far been explored for clinical laboratory testing and imaging diagnosis,an timicrobial resistance profiling,antibiotic discovery and prediction-based clin ical decision support tools in terms of HAIs.This review aims to provide a comp rehensive summary of the current literature on AI applications in the field of H AIs and discuss the future potentials of this emerging technology in infection practice."

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National Technical University of Athens Reports Findings in Machine Learning (Ao rta Segmentation in 3D CT Images by Combining Image Processing and Machine Learn ing Techniques)

95-95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 from Athens,Greece,by NewsR x journalists,research stated,"Aorta segmentation is extremely useful in clini cal practice,allowing the diagnosis of numerous pathologies,such as dissection s,aneurysms and occlusive disease.In such cases,image segmentation is prerequ isite for applying diagnostic algorithms,which in turn allow the prediction of possible complications and enable risk assessment,which is crucial in saving li ves." The news correspondents obtained a quote from the research from the National Tec hnical University of Athens,"The aim of this paper is to present a novel fully automatic 3D segmentation method,which combines basic image processing techniqu es and more advanced machine learning algorithms,for detecting and modelling th e aorta in 3D CT imaging data.An initial intensity threshold-based segmentation procedure is followed by a classification-based segmentation approach,based on a Markov Random Field network.The result of the proposed two-stage segmentatio n process is modelled and visualized.The proposed methodology was applied to 16 3D CT data sets and the extracted aortic segments were reconstructed as 3D mode ls.The performance of segmentation was evaluated both qualitatively and quantit atively against other commonly used segmentation techniques,in terms of the acc uracy achieved,compared to the actual aorta,which was defined manually by expe rts.The proposed methodology achieved superior segmentation performance,compar ed to all compared segmentation techniques,in terms of the accuracy of the extr acted 3D aortic model."

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Research Conducted at Huazhong University of Science and Technology Has Updated Our Knowledge about Machine Learning (Arrangement Optimization of Spherical Dimp les Inside Tubes Based On Machine Learning for Realizing the Optimal Flow Pattern)

96-96页

查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-A new study on Machine Learning is now available.According to news reporting from Wuhan,People's Republic of China,by NewsRx journalists,research stated,"Optimizing the arrangement of dimples i n a dimpled tube can alter the flow field structure and improve its heat transfe r performance.However,direct optimization through numerical simulation techniq ues is challenging due to the high nonlinearity and time-consuming nature of the heat transfer process." Funders for this research include National Natural Science Foundation of China ( NSFC),National Key Research and Development Program of China,Core Technology R esearch Project of Shunde District,Foshan City,China.The news correspondents obtained a quote from the research from the Huazhong Uni versity of Science and Technology,"This study proposes a novel optimization met hod based on a surrogate model combined with machine learning technology.By con sidering the relative positions of the dimples as design variables and the compr ehensive performance of the dimpled tube as the optimization objective,the opti mal arrangement of dimples is achieved,and the flow field structure under the o ptimal layout configuration is determined.The results indicate that the optimal design involves five dimples forming a V-shaped dimpled strip,which deflects t he flow and disrupts the boundary layer development.The optimal flow pattern wi th multi-longitudinal vortexes is formed which promotes the mixing between the c old and hot fluids and intensifies heat transfer with a moderate pressure loss.The performance of the optimal structure is evaluated within a Reynolds number r ange of 600 to 1200.As a result,the heat transfer capacity is increased by 5.3 76-8.819 times compared to plain tubes,with an increase in the flow resistance factor by 3.102-5.264.The comprehensive performance achieves a range of 3.683-5 .069.Furthermore,the research conducted particle image velocimetry experiments to observe the flow field structure inside the optimized tube,thus validating the effectiveness of the optimization."

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