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    Shanghai Jiao Tong University Researcher Adds New Findings in the Area of Roboti cs (A Novel Caterpillar-Inspired Vascular Interventional Robot Navigated by Magn etic Sinusoidal Mechanism)

    67-67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 robotics have been published. According to news reporting originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "Magnetic soft co ntinuum robots (MSCRs) hold significant potential in fulfilling the requirements of vascular interventional robots, enabling safe access to difficult-to-reach a reas with enhanced active maneuverability, shape morphing capabilities, and stif fness variability. Their primary advantage lies in their tether-less actuation m echanism that can safely adapt to complex vessel structures." Financial supporters for this research include University Ph.D. Candidate Resear ch Fund.
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    New Findings from Xinjiang University Describe Advances in Robotics (The Impact of Industrial Robots on Green Total Factor Energy Efficiency: Empirical Evidence from Chinese Cities)

    68-68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 robotics have been pr esented. According to news reporting out of Urumqi, People's Republic of China, by NewsRx editors, research stated, "Improving energy utilization efficiency is a crucial means to achieve energy conservation, emission reduction, and green de velopment. At present, to establish a high-quality development framework and sat isfy the growing need for a better life among all its people, China must steadfa stly pursue the path of green development." Financial supporters for this research include Xinjiang University; The National Natural Science Foundation of China Project. The news journalists obtained a quote from the research from Xinjiang University : "Although China's substantial economic scale and achievements in ecological ci vilization construction provide favorable conditions for green transformation, t here remains a significant gap compared to developed countries in the applicatio n of green and clean technologies. Confronted with technological bottlenecks, le veraging emerging technologies such as industrial robots from the new round of s cientific and technological revolutions to improve the green total factor energy efficiency (GTFEE) is of critical importance to China's green development. This study explores the potential impact of industrial robots on enhancing China's G TFEE. It begins by reviewing the current research landscape in this field, highl ighting its shortcomings, and theorizing potential impact pathways of industrial robots. Subsequently, the paper analyzes data from 2010 to 2019 on the usage of industrial robots and GTFEE across 276 cities at the prefectural level or above in China. Through empirical regression models that incorporate control variable s and interaction terms, the study investigates the specific impacts of industri al robots on energy efficiency and their mechanisms of action. The results indic ate that industrial robots significantly enhance the GTFEE of Chinese cities, es pecially in the Northeastern region. Industrial robots notably improve the GTFEE in resource-based cities, old industrial bases, and low-carbon pilot cities."
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    New Keratoconus Study Findings Have Been Reported by Investigators at Peking Uni on Medical College Hospital (The Development of a Machine Learning Model To Trai n Junior Ophthalmologists In Diagnosing the Pre-clinical Keratoconus)

    69-70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 Ey e Diseases and Conditions - Keratoconus. According to news reporting from Beijin g, People's Republic of China, by NewsRx journalists, research stated, "This stu dy aims to evaluate the diagnostic performance of a machine learning model (ML m odel) to train junior ophthalmologists in detecting preclinical keratoconus (PKC ). A total of 1,334 corneal topography images (The Pentacam HR system) from 413 keratoconus eyes, 32 PKC eyes and 222 normal eyes were collected." The news correspondents obtained a quote from the research from Peking Union Med ical College Hospital, "Five junior ophthalmologists were trained and annotated the images with or without the suggestions proposed by the ML model. The diagnos tic performance of PKC was evaluated among three groups: junior ophthalmologist group (control group), ML model group and ML model-training junior ophthalmologi st group (test group). The accuracy of the ML model between the eyes of patients with KC and NEs in all three clinics (99% accuracy, area under th e receiver operating characteristic (ROC) curve AUC of 1.00, 99 % s ensitivity, 99% specificity) was higher than that for Belin-Ambr & oacute;sio enhanced ectasia display total deviation (BAD-D) (86% a ccuracy, AUC of 0.97, 97% sensitivity, 69% specifici ty). The accuracy of the ML model between eyes with PKC and NEs in all three cli nics (98% accuracy, AUC of 0.96, 98% sensitivity, 98 % specificity) was higher than that of BAD-D (69% ac curacy, AUC of 0.73, 67% sensitivity, 69% specificit y). The diagnostic accuracy of PKC was 47.5% (95%CI, 0.5-71.6%), 100% (95%CI, 100-100 % ) and 94.4% (95%CI, 14.7-94.7%) in the c ontrol group, ML model group and test group. With the assistance of the proposed ML model, the diagnostic accuracy of junior ophthalmologists improved with stat istical significance (p <0.05). According to the questionn aire of all the junior ophthalmologists, the average score was 4 (total 5) regar ding to the comprehensiveness that the AI model has been in their keratoconus di agnosis learning; the average score was 4.4 (total 5) regarding to the convenien ce that the AI model has been in their keratoconus diagnosis learning."
      原文链接:
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    Investigators at Cardiff University Discuss Findings in Robotics (Digital Skills In Context: Working With Robots In Lower-skilled Jobs)

    70-70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 Robotics are disc ussed in a new report. According to news reporting originating from Cardiff, Uni ted Kingdom, by NewsRx correspondents, research stated, "Digital skills are incr easingly presented as essential for work and labour market inclusion, with fears the lowskilled could be left behind. Lack of clarity about these new skill dem ands and limited evidence from the workplace have prompted calls to unpack skill requirements in specific sectors and occupations." Funders for this research include British Academy, British Academy. Our news editors obtained a quote from the research from Cardiff University, "Th is article analyses digital skills in relation to wider skills and knowledge req uired in a job, and examines the influence of the workplace, sector and national institutional context. The study focuses on robotic technologies in lower-skill ed jobs, drawing on the experience of food and drink processing operatives, and logistic porters and service workers in public hospitals, in Norway and the UK."
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    Chinese Research Academy of Environmental Sciences Reports Findings in Machine L earning [Machine learning models to predict the bioaccessibil ity of parent and substituted polycyclic aromatic hydrocarbons (PAHs) in food: I mpact on accurate health ...]

    71-71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 in Beijing, Peopl e's Republic of China, by NewsRx journalists, research stated, "Food intake is t he primary pathway for polycyclic aromatic hydrocarbons (PAHs) to enter the huma n body. Once ingested, PAHs tend to accumulate, posing health risks." The news reporters obtained a quote from the research from the Chinese Research Academy of Environmental Sciences, "To accurately assess the risk of PAHs from f ood, concentrations of 10 parent PAHs (PPAHs) and 15 substituted PAHs (SPAHs) we re detected across 34 commonly consumed foods. Results indicated that SPAHs conc entrations (3.89-11.6 ng/g dw) were higher than PPAH concentrations (1.66-3.43 n g/g dw) in shrimp and shellfish and freshwater fish. Four machine learning algor ithms were used to predict the bioaccessibility of PAHs in foods, with the rando m forest model performing the best (R =0.987, RMSE=5.99). Feature variable impor tance analysis revealed that lipid and protein contents in food are critical var iables influencing PAH bioaccessibility. Subsequently, the bioaccessibility of 2 5 PAHs in various foods was predicted to explore its impact on health risk asses sment. Consequently, the carcinogenic risks considering bioaccessibility (5.62 x 10-7.12 x 10) was about an order of magnitude lower than that ignoring bioacces sibility (1.52 x 10-1.69 x 10), yet it still exceeded 10, indicating potential c arcinogenic risks. Although PPAHs and alkylated PAHs were predominant in foods, 6-nitrochrysene was the main compound inducing both non-carcinogenic and carcino genic risks owing to its high toxicity."
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    New Robotics Data Have Been Reported by Researchers at State University of New Y ork (SUNY) Buffalo (A Variable Stiffness Endof-arm Tooling Mechanism To Enhance Dynamic Task Capabilities of Robotic Manipulators)

    72-72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 Robotics have been published. According to news reporting originating in Buffalo, New York, b y NewsRx journalists, research stated, "Variable stiffness end-of-arm actuators can add dynamic manipulation capabilities to stiff manipulators and simultaneous ly enhance safety. The presence of an elastic element in these actuators can be used for absorbing impact energy; or storing energy and utilizing it for perform ing explosive tasks." The news reporters obtained a quote from the research from the State University of New York (SUNY) Buffalo, "The major challenge with variable stiffness actuato rs is to control their position and stiffness simultaneously to achieve optimal task performance. In this paper, we present an end-of-arm variable stiffness mec hanism (VSM) for performing dynamic tasks. We formulate the task as an optimal c ontrol problem and numerically solve for the task-specific stiffness profile. We demonstrate the usability of the optimization problem in exploiting the dynamic s of the VSM during an explosive hammering task and demonstrate that the time-va rying stiffness profile can store energy and leads to improved task performance. As a result, the hammer attains twice as much velocity with variable stiffness compared to fixed stiffness. The hammering performance is further improved by op timizing task completion time and hammer velocity. Moreover, we demonstrate that the VSM stiffness plays a crucial role in minimizing the impact forces transfer red to the robot."
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    Findings from Justus-Liebig-University Giessen in the Area of Machine Learning R eported (Consumer Decisions In Virtual Commerce: Predict Good Help-timing Based On Cognitive Load)

    73-73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 originating from Giessen, Germany, by NewsRx corres pondents, research stated, "The retail sector is steadily moving toward virtual commerce (v-commerce), and the process has recently gained momentum. With the la test developments in headset technology and the rise of artificial intelligence, virtual shopping has become relevant for an increasing number of products." Financial support for this research came from German Research Foundation (DFG). Our news journalists obtained a quote from the research from Justus-Liebig-Unive rsity Giessen, "In this article, we present a study that combines consumer behav ior research, eye tracking, electrocardiography, machine learning, and the appli cation of virtual reality. Fifty participants were invited to experience a virtu al scenario, perform multiple mentally demanding tasks, and make a purchase deci sion for a product from one of two different product categories. In a post hoc v ideo analysis based on the first-person view, participants determined different points in time when they would have appreciated help from an algorithmic user as sistance system or a digital human agent. Our statistical analysis suggests that the desired help-timing depends on the product category. For fast-moving consum er goods, algorithmic help was requested particularly early. Furthermore, we col lected eye-tracking and electrocardiographic data to build and evaluate a predic tive classification model that differentiates between three levels of cognitive load. The trained machine learning algorithm aims to classify cognitive load dur ing decision making, which may indicate the right time to offer help."
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    Reports on Artificial Intelligence Findings from Karoli Gaspar University Provid e New Insights (Generative Artificial Intelligence and Elt)

    74-74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 Budapest, Hungary, by NewsRx editors, the research stated, "There is undoubtedly, and understandably, a growing interest in incorporating generative artificial intelligence (GenAI) t echnologies into ELT. While advanced AI models have the potential to support lan guage education, offering new tools and resources to enhance learning, their use also raises important questions regarding ethics and responsibility." Financial support for this research came from Oxford University Press. Our news journalists obtained a quote from the research from Karoli Gaspar Unive rsity, "As we follow the emergence of GenAI as another ELT tool, it is crucial t o strike a balance between leveraging the benefits of these technologies and mai ntaining the core values of effective pedagogy. Educators must develop clear gui delines and best practices for the responsible integration of AI in the classroo m, ensuring that it enhances rather than replaces human interaction and critical thinking."
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    Poznan University of Medical Sciences Reports Findings in Artificial Intelligenc e (Publicly Available Dental Image Datasets for Artificial Intelligence)

    74-75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 from Poznan, Poland, b y NewsRx journalists, research stated, "The development of artificial intelligen ce (AI) in dentistry requires large and well-annotated datasets. However, the av ailability of public dental imaging datasets remains unclear." Financial support for this research came from Horizon 2020 Framework Programme.
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    New Robotics Findings from Lakeside Labs GmbH Outlined (Bridging the Reality Gap In Drone Swarm Development Through Mixed Reality)

    76-76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 Robotics have been published. According to news originating from Klagenfurt, Austria, by News Rx correspondents, research stated, "Swarm algorithms promise to solve certain p roblems in large multi-robot systems. The evaluation of large swarms is however challenging as simulations alone often lack some properties of real systems wher eas real-world experiments are costly and complex." Funders for this research include KIRAS of the Austrian Federal Ministry of Fina nce (BMF) via the Austrian Research Promotion Agency (FFG), CELTIC-NEXT Project, Austrian Federal Ministry for Climate Action, Environment, Energy, Mobility Inn ovation and Technology (BMK) via FFG, Carinthian Agency for Investment Promotion and Public Shareholding (BABEG), BMK, Government of the Carinthian provincial. Our news journalists obtained a quote from the research from Lakeside Labs GmbH, "We present a mixed reality (MR) system that connects simulated and physical ro bots though a 5G network, facilitating MR experiments to evaluate communication- based swarm algorithms. The effectiveness of the system is demonstrated through extensive experiments with unmanned aerial vehicles. Measurements show that the communication requirements of swarm coordination are well met by 5G but the comp uting power of the simulation server can be a bottleneck. However, even when the simulation slows down, communication and coordination take place in real time."
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