查看更多>>摘要：Investigators publish new report on Machine Learning. According to news reporting out of Beijing, People's Republic of China, by NewsRx editors, research stated, "Accurate mapping of large-scale grassland types is important for grassland and water resources management. The similarity of spectral characteristics between grassland types lowers the classification accuracy of different grassland types." Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from Capital Normal University, "To improve the classification accuracy of large-scale grasslands, this study proposed a new framework which integrates Sentinel-2 images with DEM and climate zones data. In this framework, optimal spectral-phenologicaltopographic features are fed into Random Forest (RF) model based on Google Earth Engine (GEE) platform. The proposed framework was applied in Inner Mongolia, China. A grassland map of the region was obtained with an overall accuracy (OA) exceeding 80 %, which is higher than the OA (60 %-70 %) of current largescale grassland type classification studies. In WIM (Western Inner Mongolia) and NEIM (Northeast Inner Mongolia), the OA reaches 96.97 % and 95.85 %, respectively. SWIR2 band and elevation have a clear advantage in distinguishing different grassland types. Compared to 1980s, the area of temperate meadow steppe (TMS) and temperate desert steppe (TDS) have increased by 111.94 % and 126.00 %, respectively."
查看更多>>摘要：New research on Mental Health Diseases and Conditions - Schizophrenia is the subject of a report. According to news reporting from Stockholm, Sweden, by NewsRx journalists, research stated, "While an association between the gut microbiome and schizophrenia spectrum disorders (SSD) has been suggested, the existing evidence is still inconclusive. To this end, we analyzed bacteria and bacterial genes in feces from 52 young adult SSD patients and 52 controls using fecal shotgun metagenomic sequencing."
查看更多>>摘要：Current study results on Machine Learning have been published. According to news originating from Hawthorn, Australia, by NewsRx editors, the research stated, "Molecular simulation that encompasses both Monte Carlo and molecular dynamics methods, coupled with ever-increasing computing power, has provided very valuable insights linking the nature of intermolecular interactions directly to the macroscopic properties of materials. In contrast, machine learning can be used to predict molecular properties by finding patterns in data rather than directly evaluating molecular interactions." Our news journalists obtained a quote from the research from the Swinburne University of Technology, "Suitable machine learning approaches for molecules include supervised, unsupervised, reinforcement, and deep learning, with the latter commonly using neural net algorithms. There is considerable overlap in the scope of application of the two approaches, which can be combined for maximum benefit. Careful integration of machine learning with molecular simulation also means that the hypothesis-centered approach of the latter can be both maintained and enhanced. Using machine learning with molecular simulation offers gains in computational efficiency, predictive capabilities, and generalizability. However, the blackbox nature of machine learning provides challenges of interpretability and transparency. Data quality, generalizability, and peer review are also issues that require attention."
查看更多>>摘要：A new study on Gram-Negative Bacterial Infections - Leptospirosis is now available. According to news reporting originating in Noumea, New Caledonia, by NewsRx journalists, research stated, "Leptospirosis is a zoonosis caused by Leptospira bacteria present in the urine of mammals. Leptospira is able to survive in soils and can be resuspended during rain events." Financial supporters for this research include Agence Nationale de la Recherche (ANR), Northern Province of New Caledonia.
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting originating from Anhui, People's Republic of China, by NewsRx correspondents, research stated, "Inferring consumers' preferences provides a better understanding of their purchase behavior, which is very important for business success, e.g., recommendation systems and targeted advertising. In this paper, we propose an explainable machine learning approach, namely Multi-view Latent Dirichlet Allocation (MVLDA), to infer and interpret consumer preferences." Financial supporters for this research include Foundation of China, Fundamental Research Funds for the Central Universities, National Engineering Laboratory for Big Data Distribution and Ex-change Technologies.
查看更多>>摘要：Investigators discuss new findings in Bioengineering - Combinatorial Materials. According to news originating from Albuquerque, New Mexico, by NewsRx correspondents, research stated, "Advancements in high-throughput data generation and physics-informed artificial intelligence and machine-learning algorithms are rapidly challenging the status quo for how materials data is collected, analyzed, and communicated with the world." Funders for this research include United States Department of Energy (DOE), United States Department of Energy (DOE).
查看更多>>摘要：Fresh data on robotics are presented in a new report. According to news reporting originating from Cologne, Germany, by NewsRx correspondents, research stated, "In our society interaction with robots is becoming more and more frequent since robots are not only used in the industry, but increasingly often in assistance and in health system." The news editors obtained a quote from the research from University of Cologne: "Perception of robots and their movements is crucial for their acceptance. Here we shortly review basic mechanisms of perception of actions, and then of perception of robotic and human movements. The literature demonstrates that there are commonalities, but also differences in the perception of human and robotic movements. Especially interesting are biologic gender differences in the perception of robotic movements. The results show that males seem to be more sensitive to the differences between robotic and anthropomorphic movements, whereas females seem not to perceive such differences. However, females transfer more anthropomorphic features to robotic movements."
查看更多>>摘要：Investigators publish new report on robotics. According to news reporting from Guangzhou, People's Republic of China, by NewsRx journalists, research stated, "Insects exhibit remarkable abilities in navigating complex natural environments, whether it be evading predators, capturing prey, or seeking out con-specifics, all of which rely on their compact yet reliable neural systems." Our news correspondents obtained a quote from the research from Guangzhou University: "We explore the field of bio-inspired robotic vision systems, focusing on the locust inspired Lobula Giant Movement Detector (LGMD) models. The existing LGMD models are thoroughly evaluated, identifying their common meta-properties that are essential for their functionality. This article reveals a common framework, characterized by layered structures and computational strategies, which is crucial for enhancing the capability of bio-inspired models for diverse applications. The result of this analysis is the Strategic Prototype, which embodies the identified meta-properties. It represents a modular and more flexible method for developing more responsive and adaptable robotic visual systems. The perspective highlights the potential of the Strategic Prototype: LGMD-Universally Prototype (LGMD-UP), the key to re-framing LGMD models and advancing our understanding and implementation of bio-inspired visual systems in robotics."
查看更多>>摘要：Investigators publish new report on Robotics. According to news reporting originating in Edmonton, Canada, by NewsRx journalists, research stated, "In cable-driven parallel robots (CDPRs), the controller should generate positive output forces, as cables only support tensile forces. In fully-constrained CDPRs, positive tension distribution in cables is guaranteed using optimization-based techniques, which have unpredictable worst-case computation time." The news reporters obtained a quote from the research from the University of Alberta, "Furthermore, the optimization-based methods fail to handle situations where the initial pose of the end-effector is beyond the wrench-feasible workspace (WFW). To address the existing problems, we introduce a new representation of the dynamic model of CDPRs by including cable tension positiveness as an inherent part of the dynamic, using an absolute function. This leads to a non-affine dynamic model, which is then converted to the affine form, for which a robust super-twisting sliding mode controller is designed. The stability of the closed-loop system is guaranteed via the Lyapunov direct method, where H1 asymptotic stability is proved with parameters derived by solving a linear matrix inequality. The superiority of the proposed method is validated in both simulation and experiment. The analytical nature of the method also allows dramatic improvement in the computation time of the control compared to the optimization-based methods in the literature."
查看更多>>摘要：Investigators publish new report on Machine Learning. According to news reporting out of Mumbai, India, by NewsRx editors, research stated, "We investigated the accelerated prediction of the thermal conductivity of materials through end-to-end structure-based approaches employing machine learning methods. Due to the non-availability of high-quality thermal conductivity data, we first performed high-throughput calculations based on first principles and the Boltzmann transport equation for 225 materials, effectively more than doubling the size of the existing dataset." Funders for this research include National Supercomputing Mission, Government of India, Core Research Grant, Science & Engineering Research Board, India, Nano Mission, Government of India.
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