Results 201 to 210 of about 88,313 (244)
From Lab to Landscape: Environmental Biohybrid Robotics for Ecological Futures
This Perspective explores environmental biohybrid robotics, integrating living tissues, microorganisms, and insects for operation in real‐world ecosystems. It traces the leap from laboratory experiments to forests, wetlands, and urban environments and discusses key challenges, development pathways, and opportunities for ecological monitoring and ...
Miriam Filippi
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This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao +6 more
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Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
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In the recondite pulmonary neoplastic milieu, DESMIN+ cancer‐associated fibroblasts function as the paramount stromal source of IL‐8, precipitating a deleterious immunological metamorphosis by engaging CXCR2 receptors on the myeloid lineage. This paracrine stimulus triggers a mechanotransduction cascade characterized by RhoA‐dependent actin ...
Xuyu Gu +7 more
wiley +1 more source
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Multiscale recurrence quantification analysis of order recurrence plots
Physica A: Statistical Mechanics and Its Applications, 2017Abstract In this paper, we propose a new method of multiscale recurrence quantification analysis (MSRQA) to analyze the structure of order recurrence plots. The MSRQA is based on order patterns over a range of time scales. Compared with conventional recurrence quantification analysis (RQA), the MSRQA can show richer and more recognizable information ...
Pengjian Shang
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Recurrence Quantification Analysis in Molecular Dynamics
Annals of the New York Academy of Sciences, 1999CESARE MANETTI,a,b MARC-ANTOINE CERUSO,a ALESSANDRO GIULIANI,c CHARLES L. WEBBER, JR.,d AND JOSEPH P. ZBILUTe aDepartment of Chemistry, University of Rome “La Sapienza,” Piazzale Aldo Moro, 5-00185 Rome, Italy cIstituto Superiore di Sanita, TCE Lab, Rome 00161, Italy dDepartment of Physiology, Loyola Univ. Medical Center, 2160 South 1st Avenue, Maywood,
MANETTI, Cesare +4 more
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Recurrence quantification analysis of business cycles
Chaos, Solitons & Fractals, 2018This chapter is dedicated to describe RQA applications in detecting spatio-temporal recurrent patterns of dynamical regimes of economic time series. Here we investigate the nature of economic dynamics and specifically of business cycles Orlando and Zimatore (Chaos, Solitons Fractals 110:82–94, 2018).
Giuseppe Orlando, Giovanna Zimatore
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Recurrence quantification analysis in Liu’s attractor
Chaos, Solitons & Fractals, 2008zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Balibrea, Francisco +2 more
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Recurrence quantification analysis of postural fluctuations
Gait & Posture, 1999A technique (recurrence quantification analysis; RQA) for analyzing center of pressure (COP) signals is presented and applied to data obtained by having participants stand with the head forward or sideways and with eyes open or closed. RQA is suitable for short, nonstationary signals and quantifies dynamical (deterministic) structure and ...
M A, Riley +2 more
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A Strategy for the Use of the Cross Recurrence Quantification Analysis
Studies in Nonlinear Dynamics & Econometrics, 2020Abstract In this work, our goal is to analyze the use of the Cross Recurrence Plot (CRP) and its quantification (CRQA) as tools to detect the possible existence of a relationship between two systems. To do that, we define three tests that are a bivariate extension of those proposed by Aparicio et al. (Aparicio, T., E.
Aparicio Aspas, Teresa +2 more
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