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Robotics & Machine Learning Daily News

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    Investigators from University of Tubingen Release New Data on Machine Learning ( How the Predictors of Math Achievement Change Over Time: a Longitudinal Machine Learning Approach)

    39-39页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on Machine Learning are discussed in a new report. According to news reporting out of Tubingen, Germ any, by NewsRx editors, research stated, "Researchers have focused extensively o n understanding the factors influencing students' academic achievement over time . However, existing longitudinal studies have often examined only a limited numb er of predictors at one time, leaving gaps in our knowledge about how these pred ictors collectively contribute to achievement beyond prior performance and how t heir impact evolves during students' development." Funders for this research include Alexander von Humboldt Foundation, German Rese arch Foundation (DFG).

    Saint-Petersburg State University Reports Findings in Theranostics (Predicting f luorescence to singlet oxygen generation quantum yield ratio for BODIPY dyes usi ng QSPR and machine learning)

    40-40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 Drugs and Therapies-Theranostics is the subject of a report. According to news originating from St. Petersburg, Russia, by NewsRx correspondents, research stated, "Functional dyes that are capable of both bright fluorescence and efficient singlet oxygen genera tion are crucial for theranostic techniques, which integrate fluorescence imagin g and photodynamic therapy (PDT). The development of new functional dyes for the ranostics is often costly and time-consuming due to laborious synthesis and post -synthetic screening of large libraries of compounds." Financial support for this research came from Science Foundation Ireland.

    Reports from Prince of Songkla University Highlight Recent Research in Androids (Force estimation for human-robot interaction using electromyogram signals from varied arm postures)

    41-41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 androids is the subjec t of a new report. According to news originating from Prince of Songkla Universi ty by NewsRx correspondents, research stated, "In this paper, a system for force estimation based on surface electromyography signals measured from the eight ch annels of the Myo armband is presented." Our news correspondents obtained a quote from the research from Prince of Songkl a University: "We evaluated nineteen regression models to continuously estimate force in three scenario cases to cover the natural movement in two degrees of fr eedom planer rehabilitation mobile robots. The best estimation model that could overcome the challenge in a variety of different scenarios was determined. Based on the experimental results, the Gaussian process regression model performed be st, giving a root mean square error in the overall range of 1.18-1.77 N."

    Study Data from Chinese Academy of Sciences Provide New Insights into Machine Le arning (Unveiling the Structure-surface Energy Relationship of Zeolites Through Machine Learning)

    41-42页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news reporting from Taiyuan, People's Republic of China, by NewsRx journalists, research stated, "Understanding the intricate rela tionship between structure and surface energy is essential for a thorough compre hension of the external surface structure and crystal morphology of zeolites. In this study, we evaluated the surface energies of various zeolite surfaces acros s multiple representative frameworks with DFT calculations." Funders for this research include National Science Fund for Distinguished Young Scholars, National Key R&D Program of China, National Natural Scien ce Foundation of China (NSFC), CAS Project for Young Scientists in Basic Researc h, Key Research Program of Frontier Sciences CAS, National Natural Science Found ation of China (NSFC), Informatization Plan of the Chinese Academy of Sciences, Youth Innovation Promotion Association CAS, Beijing Advanced Innovation Center f or Materials Genome Engineering, Synfuels China Co., Ltd., Chinese Academy of Sc iences.

    University of Bayreuth Researcher Provides New Data on Machine Learning (The imp act of turbulent transport efficiency on surface vertical heat fluxes in the Arc tic stable boundary layer predicted from similarity theory and machine-learning)

    42-43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 ar tificial intelligence. According to news originating from Bayreuth, Germany, by NewsRx correspondents, research stated, "We analyzed 14 days of observations fro m sonic anemometry and high-resolution fiber optic distributed sensing collected in the stable polar boundary layer (SBL). The study sought to evaluate if and u nder which conditions the sensible heat flux is related to the temperature gradi ent." Our news editors obtained a quote from the research from University of Bayreuth: "Machine learning methods were employed to identify drivers of and model heat f luxes. We found the recently proposed coupling metric O defined as the ratio of the buoyancy length scale and measurement height to delineate physically meaning ful transport regimes. The regime transition marks the point where static stabil ity in addition to the vertical turbulence strength control the heat transport, which is rather gradual than abrupt. The maximum downward heat flux is reached w hen one third of turbulent eddies exceed the opposing buoyancy forces in the SBL . We found evidence that even for large O a substantial fraction of the turbulen t transport is non-equilibrium. The non-dimensional temperature gradient is bett er explained by variations in O than z = zL-1 from Monin-Obukhov Similarity theory."

    New Computational Intelligence Findings from University of Macau Described (Simu ltaneously Learning Deep Quaternion Reconstruction and Noise Convolutional Dicti onary for Color Image Denoising)

    43-44页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing-Computational Intelligence have been published. According to news reportin g originating in Macau, People's Republic of China, by NewsRx journalists, resea rch stated, "Recently, many deep convolutional dictionary learning-based methods,integrating the traditional image representation methods with deep neural netw orks, have achieved great success in various image processing tasks. However, th e existing approaches can be further improved with the following considerations: (1) They congenitally suffer from the high cross-channel correlation loss for c olor image processing tasks since they usually treat each color channel independ ently, not in a whole perspective. (2) They only build up a single reconstructio n dictionary learning model to directly approximate images using several single dictionary atoms, which cannot make full use of the representative ability of th e model."

    New Findings Reported from Guangdong Ocean University Describe Advances in Machi ne Learning (Screening and Characterization of Umami Peptides From Enzymatic and Fermented Products of Wheat Gluten Using Machine Learning)

    44-45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 Machine Learning. According to news reporting from Yangjiang, People's Republic of Chin a, by NewsRx journalists, research stated, "To explore the umami peptides from w heat gluten hydrolysates (WGHs) with different degrees of hydrolysis (DH) after Corynebacterium glutamicum (C. glutamicum) fermentation, a high-throughput scree ning method for umami peptides was established based on machine learning. The re sults showed fermented WGHs with high DHs exhibited more favourable taste profil e after 4 days of fermentation and produced more small molecule peptides." The news correspondents obtained a quote from the research from Guangdong Ocean University, "Fermentation increased the number of characteristic peptides in WGH s with DH10, DH15, and DH20. Among, fermented WGHs with DH15 were the important source of potential umami peptides. Six potential umami peptides were screened ( QQLPQFEE, LSFE, EELR, YTCE, YTTD, EEDQ) and were demonstrated to form stable com plex with the T1R1/T1R3 receptor through hydrogen bonding interactions, electros tatic interactions, and hydrophobic interactions forces. The affinity of peptide s and receptor were in the range of -6.3 to -8.1 kcal/ mol. GLU735, GLY755, SER7 34, SER757 and THR227 were the critical binding sites. Sensory evaluation and el ectronic tongue showed that six peptides exhibited umami profile and had the cap acity to enhance umami and saltiness taste. EEDQ presented the strongest intensi ty of umami taste and QQLPQFEE had the lowest umami thresholds."

    Researchers from University of North Carolina Chapel Hill Report Details of New Studies and Findings in the Area of Artificial Intelligence (Utilizing Artificia l Intelligence and Chat Generative Pretrained Transformer To Answer Questions Ab out ...)

    45-46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 reporting originating in Chapel Hill, North Carolina, by NewsRx journalists, research stated, "We tested the ability of chat generative pretrained transformer (ChatGPT), an artificial intelligence chatbot,to answer questions relevant to scenarios covered in 3 clinical guidelines, pu blished by the Society for Neuroscience in Anesthesiology and Critical Care (SNA CC), which has published management guidelines: endovascular treatment of stroke,perioperative stroke (Stroke), and care of patients undergoing complex spine s urgery (Spine). Four neuroanesthesiologists independently assessed whether ChatG PT could apply 52 high-quality recommendations (HQRs) included in the 3 SNACC gu idelines."

    New Findings on Amyloidosis Described by Investigators at Boston University (Mac hine-learning Based Subgroups of Al Amyloidosis and Cumulative Incidence of Mort ality and End Stage Kidney Disease)

    46-47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 Nu tritional and Metabolic Diseases and Conditions-Amyloidosis. According to news reporting originating from Boston, Massachusetts, by NewsRx correspondents, res earch stated, "Immunoglobulin light chain (AL) amyloidosis is a multisystem dise ase with varied treatment options and disease-related outcomes. Current staging systems rely on a limited number of cardiac, renal, and plasma cell dyscrasia bi omarkers." Financial support for this research came from Amyloid Research Fund of the Bosto n University School of Medicine.

    Studies in the Area of Machine Learning Reported from Bialystok University of Te chnology (What drives the profitability of banking sectors in the European Union ? The machine learning approach)

    47-48页
    查看更多>>摘要:By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Research findings on artificial intell igence are discussed in a new report. According to news reporting out of Bialyst ok University of Technology by NewsRx editors, research stated, "The study aims to establish patterns of relations between the profitability of the European Uni on (EU) banking sectors between 2007 and 2021 and sets of variables appropriate for clusters of countries into which the 27 countries of the EU are divided." The news correspondents obtained a quote from the research from Bialystok Univer sity of Technology: "The random forest method is deployed to identify the factor s influencing the value of the return on equity. Shapley additive explanations a re exploited to add interpretability to the results. The results show that the s ets of variables shaping the profitability of banking sectors in the EU grouped by use of sovereign rating criterion are different. However, there are variables common to all banking sectors." According to the news reporters, the research concluded: "These include cost eff iciency and default risk. The study's novelty lies in the reliance on a broad sp ectrum of explanatory variables assigned to three groups of factors, reference t o all EU countries, and decomposition of the sample to identify similarities amo ng the determinants of profitability."