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    Findings from Soochow University Advance Knowledge in Cyborg and Bionic Systems (Mechanosensor for Proprioception Inspired by Ultrasensitive Trigger Hairs of Venus Flytrap)

    11-11页
    查看更多>>摘要：A new study on cyborg and bionic systems is now available. According to news reporting originating from Suzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Mechanosensors, as the core component of a proprioceptive system, can detect many types of mechanical signals in their surroundings, such as force signals, displacement signals, and vibration signals. It is understandable that the development of an all-new mechanosensory structure that can be widely used is highly desirable.” The news journalists obtained a quote from the research from Soochow University: “This is because it can markedly improve the detection performance of mechanosensors. Coincidentally, in nature, optimized microscale trigger hairs of Venus flytrap are ingeniously used as a mechanosensory structure. These trigger hairs are utilized for tactile mechanosensilla to efficiently detect external mechanical stimuli. Biological trigger hair-based mechanosensilla offer an all-new bio-inspired strategy. This strategy utilizes the notch structure and variable stiffness to enhance the perceptual performance of mechanosensors. In this study, the structure-performance-application coupling relationship of trigger hair-based mechanosensors is explored through experiment and analysis.”
      原文链接:
    • NETL
    • NSTL
    • Amer Assoc Advancement Science

    Research from Westlake University Broadens Understanding of Machine Learning (On-demand tunable metamaterials design for noise attenuation with machine learning)

    11-12页
    查看更多>>摘要：New study results on artificial intelligence have been published. According to news originating from Zhejiang, People’s Republic of China, by NewsRx editors, the research stated, “Metamaterials with structure-dominated properties provide a new way to design structures to obtain desired performance.” Our news reporters obtained a quote from the research from Westlake University: “To achieve a wide range of applications, on-demand tunable metamaterials would fulfill various and changing needs. The design of on-demand tunable metamaterials requires a higher-level understanding of the relationship between the properties of the metamaterials and the geometrical parameters, which in many cases are complicated and implicit. With the advancement of machine learning and evolutionary methods, it becomes possible to design on-demand tunable metamaterials. This paper designs on-demand tunable acoustic metamaterials for noise attenuation at varying frequencies by employing a genetic algorithm based neural network method. The C-shaped acoustic metamaterials with slidable shells are combined with the specifically designed tri-stable origami-inspired metamaterials to realize the on-demand tunable structure. Experiments were conducted and showed that the designed tunable metamaterials exhibited desired characteristics in different targeting frequency ranges.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Naval University of Engineering Researcher Has Published New Study Findings on Robotics (Research on the opening method of robotic arm based on force feedback reinforcement learning)

    12-13页
    查看更多>>摘要：Researchers detail new data in robotics. According to news reporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “In practical applications involving robotic arms, particularly in tasks such as manipulating door handles, improper strategies often lead to excessive contact forces.” The news journalists obtained a quote from the research from Naval University of Engineering: “Such forces not only jeopardize the integrity of the robotic arm’s joints but also pose a risk of damaging the door handle. This paper delves into a meticulous study aimed at refining the opening techniques employed by manipulators, enhancing their adaptability across various environments. A novel method is introduced, amalgamating force information feedback with the deep deterministic policy gradient algorithm, fostering a more nuanced approach in trajectory planning. This innovative strategy is meticulously evaluated through simulations and physical experiments, proving instrumental in guiding the robotic arm toward the successful completion of the door-opening task.”
      原文链接:
    • NETL
    • NSTL

    Study Results from Erasmus University Update Understanding of Machine Learning (Hyper-heuristics: a Survey and Taxonomy)

    13-14页
    查看更多>>摘要：Current study results on Machine Learning have been published. According to news reporting originating from Rotterdam, Netherlands, by NewsRx correspondents, research stated, “Hyperheuristics are search techniques for selecting, generating, and sequencing (meta)-heuristics to solve challenging optimization problems. They differ from traditional (meta)-heuristics methods, which primarily employ search space-based optimization strategies.” Our news editors obtained a quote from the research from Erasmus University, “Due to the remarkable performance of hyper-heuristics in multi-objective and machine learning-based optimization, there has been an increasing interest in this field. With a fresh perspective, our work extends the current taxonomy and presents an overview of the most significant hyper-heuristic studies of the last two decades. Four categories under which we analyze hyperheuristics are selection hyper-heuristics (including machine learning techniques), low-level heuristics, target optimization problems, and parallel hyper-heuristics.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Reports Outline Robotics Study Results from National Center for Geriatrics and Gerontology (Development of a Living Laboratory to Verify Assistive Technology in Simulated Indoor and Outdoor Spaces)

    14-15页
    查看更多>>摘要：Researchers detail new data in robotics. According to news originating from Aichi, Japan, by NewsRx correspondents, research stated, “Assistive robots and technologies can play a key role in supporting the independence and social participation of older people, helping them living healthy lives and reducing the burden on caregivers.” Financial supporters for this research include Japan Science And Technology Agency; National Center For Geriatrics And Gerontology. Our news reporters obtained a quote from the research from National Center for Geriatrics and Gerontology: “To support the effective development of assistive robots and technologies, it is important to develop a “living laboratory” to verify and adapt technology in real-life living spaces. The purpose of this study is to validate assistive robots using a living laboratory that simulates typical indoor and outdoor reallife situations. The rationale is to enable evaluation of daily living activities of older people in a simulated living space. To minimize the risk of trauma after falls, a ceiling suspension system was installed in the living laboratory. Six different commercially available mobility and transfer support robots were introduced and tested. We demonstrated that effective scenarios could be implemented using these assistive robots within the living laboratory.”
      原文链接:
    • NETL
    • NSTL
    • Fuji Technology Press Ltd

    New Machine Learning Study Findings Recently Were Published by Researchers at Universiti Kebangsaan Malaysia (A unique SWB multi-slotted four-port highly isolated MIMO antenna loaded with metasurface for IOT applications-based machine learning ...)

    15-16页
    查看更多>>摘要：Investigators publish new report on artificial intelligence. According to news reporting from Bangi, Malaysia, by NewsRx journalists, research stated, “This study introduces a MIMO antenna system incorporating an epsilon negative Meta Surface (MS). The system’s architects intended for it to have a large usable frequency range, high gain, narrow inter-component spacing, and superior isolation properties with four elements of MIMO antenna that are strategically organized in an orthogonal arrangement and a compact form factor measuring 41 x 41 x 1.6 mm3, utilizing a low-loss Rogers RT5880 substrate.” Funders for this research include King Saud University. The news editors obtained a quote from the research from Universiti Kebangsaan Malaysia: “The architecture of the antenna is characterized by integrating a multi-slotted radiating patch, a partial ground plane, and an epsilon-negative Meta Surface. This integration is done by a 7 x 7 Metamaterial array at the back of the MIMO antenna with a dimension of 41 x 41 x 1.6 mm3, resulting in a collective enhancement of the antenna’s overall performance by affecting the phase, amplitude, electromagnetic field and reducing the backward radiation. The separation between the Meta-surface and the MIMO antenna is established at a distance of 6 mm. The antenna’s exceptional super wideband performance is increased from 2-19 GHz to 1.9-20 GHz after using the MS. Moreover, isolation increases from 20 dB to 25.5 dB, Realized gain from 4.5 dBi to 8 dBi, and radiation efficiency from 77% to 89% across the operational bandwidth. The MIMO antenna exhibits remarkable diversity characteristics, as indicated by an envelope correlation coefficient (ECC) of <0.004, a diversity gain (DG) surpassing 9.98 dB, a channel capacity loss (CCL) below 0.3, and a total active reflection coefficient (TARC) measuring 12 dB. Furthermore, a circuit analogous to a resistor-inductor-capacitor (RLC) system is constructed, and four regression methods from the field of machine learning are employed to validate the gain and efficiency achieved. Notably, the linear regression model exhibits exceptional performance, achieving an accuracy of 99%.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    New Machine Learning Data Have Been Reported by Investigators at Eotvos Lorand University (A Functional Approach To Interpreting the Role of the Adjoint Equation In Machine Learning)

    16-17页
    查看更多>>摘要：Investigators publish new report on Machine Learning. According to news reporting originating from Budapest, Hungary, by NewsRx correspondents, research stated, “The connection between numerical methods for solving differential equations and machine learning has been revealed recently. Differential equations have been proposed as continuous analogues of deep neural networks, and then used in handling certain tasks, such as image recognition, where the training of a model includes learning the parameters of systems of ODEs from certain points along their trajectories.” Financial support for this research came from Etvs Lornd University. Our news editors obtained a quote from the research from Eotvos Lorand University, “Treating this inverse problem of determining the parameters of a dynamical system that minimize the difference between data and trajectory by a gradient-based optimization method presents the solution of the adjoint equation as the continuous analogue of backpropagation that yields the appropriate gradients. The paper explores an abstract approach that can be used to construct a family of loss functions with the aim of fitting the solution of an initial value problem to a set of discrete or continuous measurements. It is shown, that an extension of the adjoint equation can be used to derive the gradient of the loss function as a continuous analogue of backpropagation in machine learning.”
      原文链接:
    • NETL
    • NSTL
    • Springer Nature

    University of Portland Reports Findings in Artificial Intelligence (Using Artificial Intelligence Platforms to Support Student Learning in Physiology)

    17-17页
    查看更多>>摘要：New research on Artificial Intelligence is the subject of a report. According to news reporting originating in Portland, Oregon, by NewsRx editors, the research stated, “The advent of AIpowered language models presents new opportunities and challenges in education. By teaching students how to craft prompts that elicit insightful responses, faculty can scaffold activities where AI acts as a supplemental resource to amplify critical thinking and support student learning.” The news reporters obtained a quote from the research from the University of Portland, “Ongoing dialogue and iteration focused on ethical usage norms can achieve the right balance between emerging technology and foundational skills development. With care and intention, AI-assisted study tactics offer students personalized support while adhering to academic standards. While AI-powered tools provide many positive opportunities, students and faculty need to learn about and use them responsibly and ethically, not as replacements for required thinking and effort. Before implementing these AI tools for studying biology, there are several key things to discuss with students.”
      原文链接:
    • NETL
    • NSTL

    New Machine Learning Findings from Beijing Technology and Business University Discussed (Tsc Prediction and Dynamic Control of Bof Steelmaking With State-of-the-art Machine Learning and Deep Learning Methods)

    18-19页
    查看更多>>摘要：Researchers detail new data in Machine Learning. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Mathematical (data-driven) models based on state-of-the-art (SOTA) machine learning and deep learning models and data collected from 12,786 heats were established to predict the values of temperature, sample, and carbon (TSC) test, including temperature of molten steel (TSC-Temp), carbon content (TSC-C) and phosphorus content (TSC-P), which made preparation for eliminating the TSC test. To maximize the prediction accuracy of the proposed approach, various models with different inputs were implemented and compared, and the best models were applied to the production process of a Hesteel Group steelmaking plant in China in the field.”
      原文链接:
    • NETL
    • NSTL
    • Springer Nature

    Data on Machine Learning Reported by HuiPing Liao and Colleagues (Analyzing domain features of small proteins using a machine-learning method)

    19-19页
    查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Small proteins (SPs) are a unique group of proteins that play crucial roles in many important biological processes. Exploring the biological function of SPs is necessary.” Financial supporters for this research include National Key Research and Development Program of China, Natural Science Foundation of Shandong Province. Our news journalists obtained a quote from the research, “In this study, the InterPro tool and the maximum correlation method were utilized to analyze functional domains of SPs. The purpose was to identify important functional domains that can indicate the essential differences between small and large protein sequences. First, the small and large proteins were represented by their functional domains via a one-hot scheme. Then, the MaxRel method was adopted to evaluate the relationships between each domain and the target variable, indicating small or large protein. The top 36 domain features were selected for further investigation. Among them, 14 were deemed to be highly related to SPs because they were annotated to SPs more frequently than large proteins. We found the involvement of functional domains, such as ubiquitin-conjugating enzyme/RWD-like, nuclear transport factor 2 domain, and alpha subunit of guanine nucleotide-binding protein (G-protein) in regulating the biological function of SPs. The involvement of these domains has been confirmed by other recent studies.”
      原文链接:
    • NETL
    • NSTL
    • Wiley