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    Studies from Zhengzhou University Have Provided New Data on Machine Learning (A Condition Assessment Tool for Steel Bridge Deck Pavement Systems Based on Data B alancing Methods and Machine Learning Algorithms)

    19-20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 artificial intelligence have been published. According to news originating from Zhengzhou, People's Repu blic of China, by NewsRx editors, the research stated, "The primary challenge in the operation of steel deck pavement systems lies in the inspection and assessm ent of their condition." Our news correspondents obtained a quote from the research from Zhengzhou Univer sity: "Traditionally, manual inspection methods are employed. However, these app roaches are not only time-consuming and labor-intensive but also prone to human error. As a result, integrating data-driven machine learning technologies into t he evaluation of pavement systems presents a significant advantage in addressing these issues. This study proposes a decision-making tool for estimating the con dition levels of steel bridge deck pavement systems by employing classification techniques. To address the issue of class imbalance in the dataset, the SMOTE al gorithm is utilized."

    Recent Findings from University of Tennessee Provides New Insights into Machine Learning (Cryo-em Images of Phase-separated Lipid Bilayer Vesicles Analyzed With a Machine-learning Approach)

    20-21页
    查看更多>>摘要:Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating from Knoxville, Tennessee, by NewsRx correspondents, research stated, "Lateral lipid heterogenei ty (i.e., raft formation) in biomembranes plays a functional role in living cell s. Threecomponent mixtures of low- and high-melting lipids plus cholesterol off er a simplified experimental model for raft domains in which a liquid-disordered (Ld) phase coexists with a liquid-ordered (Lo) phase." Financial support for this research came from National Science Foundation (NSF).

    Sandro Pertini Hospital Reports Findings in Colectomy (Bowel preparation before elective right colectomy: Multitreatment machine-learning analysis on 2,617 pati ents)

    21-22页
    查看更多>>摘要:New research on Surgery-Colectomy is the subject of a report. According to news reporting out of Rome, Italy, by New sRx editors, research stated, "In the worldwide, real-life setting, some candida tes for right colectomy still receive no bowel preparation, some receive oral an tibiotics alone, some receive mechanical bowel preparation alone, and some recei ve mechanical bowel preparation with oral antibiotics, with varying degrees of c ompliance to preoperative intravenous antibiotic prophylaxis. Previous studies m ainly focused on left-sided colorectal anastomoses while less attention has been devoted to right-sided ileocolic anastomoses."

    Findings on Robotics Detailed by Investigators at Italian Institute of Technolog y (Balancing and Hopping With a Ring Screw Actuation On One Leg)

    22-23页
    查看更多>>摘要:Data detailed on Robotics have been pr esented. According to news reporting out of Genoa, Italy, by NewsRx editors, res earch stated, "This letter presents the prototype of a human-sized, untethered a thletic hopping and balancing underactuated monopedal robot designed to withstan d crash landings." Financial support for this research came from Advanced Robotics Department, Isti tuto Italiano di Tecnologia, Genoa, Italy. Our news journalists obtained a quote from the research from the Italian Institu te of Technology, "Experimental results in 2D of the robot balancing on an unsta ble contact point, hopping vertically, landing back, and balancing within a narr ow point of 2.5 cm are presented and discussed. Furthermore, the first applicati on of a new linear transmission mechanism called the ring screw, an alternative to the ball screw, is presented."

    Researchers at South China University of Technology Have Reported New Data on Ro botics (Fixed-time Neuro-optimal Adaptive Control With Input Saturation for Unce rtain Robots)

    23-24页
    查看更多>>摘要:Researchers detail new data in Robotic s. According to news reporting originating from Guangzhou, People's Republic of China, by NewsRx correspondents, research stated, "This article presents a neura l optimization-based fixed-time adaptive control scheme for the robot systems wi th unknown dynamics and input saturation. During the process of information expl oration, security and control efficiency issues always exist due to the complexi ty of the system." Funders for this research include National Natural Science Foundation of China ( NSFC), Guangdong Basic and Applied Basic Research Foundation.

    Investigators at University of Florida Discuss Findings in Artificial Intelligen ce (Regulatory and Implementation Considerations for Artificial Intelligence)

    24-24页
    查看更多>>摘要:New research on Artificial Intelligenc e is the subject of a report. According to news reporting originating from Gaine sville, Florida, by NewsRx correspondents, research stated, "This review delves into the complexities of AI implementation, emphasizing the pivotal role of fost ering trust through responsible regulation, transparent standardization, and com prehensive education. Many of these challenges highlight the necessity for robus t monitoring of AI performance while allowing adaptable policies to accommodate the dynamic nature of AI technologies." Our news editors obtained a quote from the research from the University of Flori da, "The authors proposed collaborative efforts across professional organization s, institutions, and individual clinicians to overcome the barriers of AI integr ation while upholding patient safety and quality of care. Otolaryngologists need to acquire the ability to responsibly select, apply, and oversee AI technologie s."

    Reports from Federal University of ABC Highlight Recent Findings in Machine Lear ning (Towards a Machine-learning-based Application for Amorphous Drug Recognitio n)

    25-25页
    查看更多>>摘要:Researchers detail new data in Machine Learning. According to news originating from Santo Andre, Brazil, by NewsRx cor respondents, research stated, "The amorphous drug structure represents an import ant feature to be reached in the pharmaceutical field due to its possibility of increasing drug solubility, considering that at least 40% of comme rcially available crystalline drugs are poorly soluble in water. However, it is known that the amorphous local structure can vary depending on the amorphization technique used." Financial supporters for this research include Conselho Nacional de Desenvolvime nto Cientifico e Tecnologico (CNPQ), Federal University of Ouro Preto (Ouro Pret o, MG, Brazil), Federal University of ABC (Santo Andre, SP, Brazil), Federal Uni versity of Espirito Santo (Vitoria, ES, Brazil).

    University Gadjah Mada Reports Findings in Sepsis (A machine learning-based elec tronic nose for detecting neonatal sepsis: Analysis of volatile organic compound biomarkers in fecal samples)

    26-26页
    查看更多>>摘要:New research on Blood Diseases and Con ditions-Sepsis is the subject of a report. According to news originating from Yogyakarta, Indonesia, by NewsRx correspondents, research stated, "Neonatal seps is is a global health threat, contributing to high morbidity and mortality rates among newborns. Recognizing the profound impact of neonatal sepsis on long-term health outcomes emphasizes the critical need for timely detection to mitigate i ts consequences and ensure optimal health for the affected newborns." Our news journalists obtained a quote from the research from University Gadjah M ada, "Currently, various diagnostic approaches have been implemented, but they a re limited by their invasiveness, high costs, centralized testing, frequent dela ys or inaccuracies in results, and the need for sophisticated laboratory equipme nt. We introduced a novel, non-invasive, cost-efficient, and easy-to-use technol ogy that can provide rapid results at a point-of-care. The technology utilized a lab-built metal oxide semiconductor-based electronic nose (cNose) combined with volatile organic compound (VOC) biomarkers identified through gas chromatograph y-mass spectrometry (GC-MS) analysis. The system was evaluated using fecal profi ling tests involving a total of 32 samples, including 17 positive and 15 negativ e sepsis, confirmed by blood culture. To assess the performance in discriminatin g patients from healthy controls, four machine learning algorithms were implemen ted. Based on the cross-validation results, the MLPNN model provided the best re sults in distinguishing between neonates with positive and negative sepsis, achi eving high-performance results of 90.63% accuracy, 88.24% sensitivity, and 93.33% specificity at a 95% confide nce interval. Specific VOCs associated with neonatal sepsis, such as alcohols, a cids, and esters, were successfully identified through GC-MS analysis, further v alidating the diagnostic capability of the cNose device."

    Studies Conducted at Soochow University on Computational Intelligence Recently R eported (Sparse Learning-based Feature Selection In Classification: a Multi-obje ctive Perspective)

    27-27页
    查看更多>>摘要:Data detailed on Machine Learning-Co mputational Intelligence have been presented. According to news reporting origin ating from Suzhou, People's Republic of China, by NewsRx correspondents, researc h stated, "Sparse learning-based feature selection is an emerging topic, acclaim ed for its potential in delivering promising performance and interpretability. N evertheless, the task of determining a suitable regularization parameter to stri ke a balance between the loss function and regularization is a challenging endea vor, where existing methods encounter great difficulties." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Marsden Fund (NZ), Science for Technological Innovation Chal lenge (SfTI), New Zealand Ministry of Business, Innovation and Employment (MBIE) , NZ-SQ Data Science Catalyst Program, Fundamental Research Funds for the Centra l Universities, JLU, Guangdong Science and Technology Strategic Innovation Fund.

    New Findings from Yan'an University Update Understanding of Robotics (High-perfo rmance Electrically Responsive Artificial Muscle Materials for Soft Robot Actuat ion)

    28-28页
    查看更多>>摘要:Current study results on Robotics have been published. According to news reporting from Yanan, People's Republic of Ch ina, by NewsRx journalists, research stated, "Traditional robotic devices are of ten bulky and rigid, making it difficult for them to adapt to the soft and compl ex shapes of the human body. In stark contrast, soft robots, as a burgeoning cla ss of robotic technology, showcase exceptional flexibility and adaptability, pos itioning them as compelling contenders for a diverse array of applications." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Basic Research Program of Shaanxi, Scientifi c Research Pro-gram of Education Department of Shaanxi Provincial Government, Sc ientific Research Special Projects of Yan'an University.