Publications by authors named "C M Biancardi"

Population matrix models are routinely used to study the demography of wild populations and to guide management choices. When vital rates are unknown for a specific population or life history stage, researchers often replace them with estimates from other populations of the same species. Such 'hybrid' matrices might ignore among-population life history variation and lead to incorrect inferences.

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Article Synopsis
  • Inching-locomotion caterpillars (ILAR) serve as inspiration for creating 'inch-worm' robots that utilize biomimicry and can adapt to various environments, including natural and extraterrestrial settings.
  • A new mathematical method called Multi-Body Dynamics for Inching-Locomotion Caterpillar Robots (MBD-ILAR) is introduced to simulate the movement of these robots and includes calculations for factors like kinematics and dynamics, focusing on specific robot design aspects.
  • A case study was conducted to apply this method, which involved developing a graphical user interface to optimize robot actuator choices and validate the simulation results by analyzing how different parameters influence attachment forces and mechanical performance.
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Background: Muscular synergies could represent the patterns of muscular activation used by the central nervous system (CNS) to simplify the production of movement. Studies in walking-running transitions described up to nine synergy modules, and an earlier activation of flexor and extension ankle muscular groups compared to running or walking. Our project aims to study the behaviour of muscle synergies in different stance and swing variations of walking-running (WRT) and running-walking (RWT) transitions.

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Purpose: Variable-speed control in the field is challenging for motion science. Tests were performed to evaluate speed, Froude number, and oxygen consumption if these varied when using the same frequency of steps. The objective of this study was to evaluate the use of auditory feedback to control variable speed on the treadmill and track during acceleration cycles around the transition speed.

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Background: Attention-Deficit/Hyperactivity Disorder (ADHD) is a highly heterogeneous diagnostic category, encompassing several endophenotypes and comorbidities, including sleep problems. However, no predictor of clinical long-term trajectories or comorbidity has yet been established. Sleep EEG has been proposed as a potential tool for evaluating the synaptic strength during development, as well as the cortical thickness, which is presumed to be altered in ADHD.

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