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    A double twist makes cracking easier to resist

    1-2页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Taking inspiration from nature, resear chers from Princeton Engineering have improved crack resistance in concrete comp onents by coupling architected designs with additive manufacturing processes and industrial robots that can precisely control materials deposition. In an article published Aug. 29 in the journal Nature Communications, researcher s led by Reza Moini, an assistant professor of civil and environmental engineeri ng at Princeton, describe how their designs increased resistance to cracking by as much as 63% compared to conventional cast concrete. The researchers were inspired by the double-helical structures that make up the scales of an ancient fish lineage called coelacanths. Moini said that nature oft en uses clever architecture to mutually increase material properties such as str ength and fracture resistance.
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    New Support Vector Machines Study Findings Have Been Reported from University of Klagenfurt (Observations and Considerations for Implementing Vibration Signals as an Input Technique for Mobile Devices)

    2-3页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on support vector machines are presented in a new report. According to news reporting from the University o f Klagenfurt by NewsRx journalists, research stated, “This work examines swipe-b ased interactions on smart devices, like smartphones and smartwatches, that dete ct vibration signals through defined swipe surfaces.” Our news reporters obtained a quote from the research from University of Klagenf urt: “We investigate how these devices, held in users’ hands or worn on their wr ists, process vibration signals from swipe interactions and ambient noise using a support vector machine (SVM). The work details the signal processing workflow involving filters, sliding windows, feature vectors, SVM kernels, and ambient no ise management. It includes how we separate the vibration signal from a potentia l swipe surface and ambient noise. We explore both software and human factors in fluencing the signals: the former includes the computational techniques mentione d, while the latter encompasses swipe orientation, contact, and movement. Our fi ndings show that the SVM classifies swipe surface signals with an accuracy of 69 .61% when both devices are used, 97.59% with only th e smartphone, and 99.79% with only the smartwatch.”
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    National University of Singapore Reports Findings in Nanoporous (Exploiting Meta l-Organic Frameworks for Vinylidene Fluoride Adsorption: From Force Field Develo pment, Computational Screening to Machine Learning)

    3-4页
    查看更多>>摘要：By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Nanotechnology - Nanoporous is th e subject of a report. According to news reporting from Singapore, Singapore, by NewsRx journalists, research stated, “Metal-organic frameworks (MOFs) represent a distinctive class of nanoporous materials with considerable potential across a wide range of applications. Recently, a handful of MOFs has been explored for the storage of environmentally hazardous fluorinated gases (Keasler et al. 2023, 381, 1455), yet the potential of over 100,000 MOFs for this specific applicatio n has not been thoroughly investigated, particularly due to the absence of an es tablished force field.” The news correspondents obtained a quote from the research from the National Uni versity of Singapore, “In this study, we develop an accurate force field for non aversive hydrofluorocarbon vinylidene fluoride (VDF) and conduct high-throughput computational screening to identify top-performing MOFs with high VDF adsorptio n capacities. Quantitative structure-property relationships are analyzed via mac hine learning models on the combinations of geometric, chemical, and topological features, followed by feature importance analysis to probe the effects of these features on VDF adsorption. Finally, from detailed structural analysis via radi al distribution functions and spatial densities, we elucidate the significance o f different interaction modes between VDF and metal nodes in top-performing MOFs .”
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    Investigators at Iowa State University Report Findings in Machine Learning (Accu rate Machine-learning Predictions of Coercivity In High-performance Permanent Ma gnets)

    4-5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 have been published. According to news reporting from Ames, Iowa, by NewsRx journalists, research stated, “Increased demand for highperformance permanent m agnets in the electric vehicle and wind-turbine industries has prompted the sear ch for cost-effective alternatives. Discovering magnetic materials with the desi red intrinsic and extrinsic permanent magnet properties presents a significant c hallenge to researchers because of issues with the global supply of rare-earth e lements, material stability, and a low maximum magnetic energy product BHmax.” Funders for this research include United States Department of Energy (DOE), Unit ed States Department of Energy (DOE), United States Department of Energy (DOE), Oak Ridge Institute for Science and Education for the DOE.
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    Study Findings from Bournemouth University Broaden Understanding of Artificial I ntelligence [Anthropomorphism-based Artificial Intelligence ( Ai) Robots Typology In Hospitality and Tourism]

    5-6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 Poole, United Kingdom, by NewsRx editors, research stated, “Anthropomorphism plays a cr ucial role in the deployment of human-like robots in hospitality and tourism. Th is study aims to propose an anthropomorphism-based typology of artificial intell igence (AI) robots, based on robot attributes, usage, function and application a cross different operational levels.” Financial support for this research came from Lembaga Pengelola Dana Pendidikan (LPDP), Indonesia Endowment Fund for Education, Ministry of Finance of the Repub lic of Indonesia.
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    Reports Outline Artificial Intelligence Study Results from Missouri State Univer sity (Empowering Student Learning Through Artificial Intelligence: A Bibliometri c Analysis)

    6-6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 Springfield, Missouri, by NewsRx correspondents, research stated, “Scholarly interest in artificial in telligence (AI) has surged as researchers delve into its transformative impact o n various aspects of our lives.” Our news correspondents obtained a quote from the research from Missouri State U niversity: “AI poses both benefits and challenges, particularly in the context o f educators’ endeavors to comprehend the intricacies of students’ learning proce sses. Although the use of AI to enhance and assist student learning is relativel y new, the exponential growth of scholarly attention and publications in AI and student learning in recent years underscores the compelling necessity for furthe r inquiry. Investigating this area is crucial for understanding the emerging tre nds in this research domain. This study aims to provide insights into the burgeo ning research trajectories on AI from a student learning perspective.”
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    University Health Network Reports Findings in Artificial Intelligence (Developme nt, deployment and scaling of operating room-ready artificial intelligence for r eal-time surgical decision support)

    7-7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 in Toronto , Canada, by NewsRx journalists, research stated, “Deep learning for computer vi sion can be leveraged for interpreting surgical scenes and providing surgeons wi th real-time guidance to avoid complications. However, neither generalizability nor scalability of computer-vision-based surgical guidance systems have been dem onstrated, especially to geographic locations that lack hardware and infrastruct ure necessary for real-time inference.” The news reporters obtained a quote from the research from University Health Net work, “We propose a new equipment-agnostic framework for real-time use in operat ing suites. Using laparoscopic cholecystectomy and semantic segmentation models for predicting safe/dangerous (‘Go’/’No-Go’) zones of dissection as an example u se case, this study aimed to develop and test the performance of a novel data pi peline linked to a web-platform that enables real-time deployment from any edge device. To test this infrastructure and demonstrate its scalability and generali zability, lightweight U-Net and SegFormer models were trained on annotated frame s from a large and diverse multicenter dataset from 136 institutions, and then t ested on a separate prospectively collected dataset. A web-platform was created to enable real-time inference on any surgical video stream, and performance was tested on and optimized for a range of network speeds. The U-Net and SegFormer m odels respectively achieved mean Dice scores of 57% and 60% , precision 45 % and 53%, and recall 82% and 75% for predicting the Go zone, and mean Dice scores of 76% and 76%, precision 68% and 68%, and reca ll 92% and 92% for predicting the No-Go zone. After optimization of the client-server interaction over the network, we deliver a pre diction stream of at least 60 fps and with a maximum round-trip delay of 70 ms f or speeds above 8 Mbps.”
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    Study Findings on Robotics Published by a Researcher at Shandong University of T echnology (Research on Slam And Path Planning Method For Inspection Robot in Orc hard Environment)

    8-9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 originating from Zibo, People’s Republic of China, by NewsRx editors, the research stated, “Orchard robots play a crucial role in agri cultural production. Autonomous navigation serves as the foundation for orchard robots and eco-unmanned farms.” The news journalists obtained a quote from the research from Shandong University of Technology: “Accurate sensing and localization are prerequisites for achievi ng autonomous navigation. However, current vision-based navigation solutions are sensitive to environmental factors, such as light, weather, and background, whi ch can affect positioning accuracy. Therefore, they are unsuitable for outdoor n avigation applications. LIDAR provides accurate distance measurements and is sui table for a wide range of environments. Its immunity to interference is not affe cted by light, colour, weather, or other factors, making it suitable for low obj ects and complex orchard scenes. Therefore, LiDAR navigation is more suitable fo r orchard environments. In complex orchard environments, tree branches and folia ge can cause Global Positioning System (GNSS) accuracy to degrade, resulting in signal loss. Therefore, the major challenge that needs to be addressed is genera ting navigation paths and locating the position of orchard robots.”
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    University of Malaya Reports Findings in Machine Learning (Automated transtibial prosthesis alignment: A systematic review)

    8-8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 originating from Kuala Lumpur, Malaysia , by NewsRx correspondents, research stated, “This comprehensive systematic revi ew critically analyzes the current progress and challenges in automating transti bial prosthesis alignment. The manual identification of alignment changes in pro stheses has been found to lack reliability, necessitating the development of aut omated processes.” Our news journalists obtained a quote from the research from the University of M alaya, “Through a rigorous systematic search across major electronic databases, this review includes the highly relevant studies out of an initial pool of 2111 records. The findings highlight the urgent need for automated alignment systems in individuals with transtibial amputation. The selected studies represent cutti ng-edge research, employing diverse approaches such as advanced machine learning algorithms and innovative alignment tools, to automate the detection and adjust ment of prosthesis alignment. Collectively, this review emphasizes the immense p otential of automated transtibial prosthesis alignment systems to enhance alignm ent accuracy and significantly reduce human error. Furthermore, it identifies im portant limitations in the reviewed studies, serving as a catalyst for future re search to address these gaps and explore alternative machine learning algorithms .”
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    Jinzhou Medical University Reports Findings in Bladder Cancer (LIG1 is a novel m arker for bladder cancer prognosis: evidence based on experimental studies, mach ine learning and single-cell sequencing)

    9-10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 - Bladder Can cer is the subject of a report. According to news reporting from Liaoning, Peopl e’s Republic of China, by NewsRx journalists, research stated, “Bladder cancer, a highly fatal disease, poses a significant threat to patients. Positioned at 19 q13.2-13.3, LIG1, one of the four DNA ligases in mammalian cells, is frequently deleted in tumour cells of diverse origins.” The news correspondents obtained a quote from the research from Jinzhou Medical University, “Despite this, the precise involvement of LIG1 in BLCA remains elusi ve. This pioneering investigation delves into the uncharted territory of LIG1’s impact on BLCA. Our primary objective is to elucidate the intricate interplay be tween LIG1 and BLCA, alongside exploring its correlation with various clinicopat hological factors. We retrieved gene expression data of para-carcinoma tissues a nd bladder cancer (BLCA) from the GEO repository. Single-cell sequencing data we re processed using the ‘Seurat’ package. Differential expression analysis was th en performed with the ‘Limma’ package. The construction of scale-free gene co-ex pression networks was achieved using the ‘WGCNA’ package. Subsequently, a Venn d iagram was utilized to extract genes from the positively correlated modules iden tified by WGCNA and intersect them with differentially expressed genes (DEGs), i solating the overlapping genes. The ‘STRINGdb’ package was employed to establish the protein-protein interaction (PPI) network.Hub genes were identified through the PPI network using the Betweenness Centrality (BC) algorithm. We conducted K EGG and GO enrichment analyses to uncover the regulatory mechanisms and biologic al functions associated with the hub genes. A machine-learning diagnostic model was established using the R package ‘mlr3verse.’ Mutation profiles between the L IG1.high and LIG1.low groups were visualized using the BEST website. Survival an alyses within the LIG1.high and LIG1.low groups were performed using the BEST we bsite and the GENT2 website. Finally, a series of functional experiments were ex ecuted to validate the functional role of LIG1 in BLCA. Our investigation reveal ed an upregulation of LIG1 in BLCA specimens, with heightened LIG1 levels correl ating with unfavorable overall survival outcomes. Functional enrichment analysis of hub genes, as evidenced by GO and KEGG enrichment analyses, highlighted LIG1 ’s involvement in critical function such as the DNA replication, cellular senesc ence, cell cycle and the p53 signalling pathway. Notably, the mutational landsca pe of BLCA varied significantly between LIG1 and LIG1 groups.Immune infiltrating analyses suggested a pivotal role for LIG1 in immune cell recruitment and immun e regulation within the BLCA microenvironment, thereby impacting prognosis. Subs equent experimental validations further underscored the significance of LIG1 in BLCA pathogenesis, consolidating its functional relevance in BLCA samples.”
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