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Structural health monitoring (SHM) has the potential to provide quantitative and reliable data on the real condition of structures, observe the evolution of their behaviour and detect degradation This paper presents two methodologies for model-free data in ...
At present, more powerful tools for numerical modelling and structural analysis are available for the use in fatigue design and assessment of complex structures. Taking advantage of these tools, structural hot spot stress approach (SHSS) can predict the fa ...
The aim of structural performance monitoring is to infer the state of a structure from measurements and thereby support decisions related to structural management. Complex structures may be equipped with hundreds of sensors that measure quantities such as ...
Background: The cerebellum is a complex structure that can be affected by several congenital and acquired diseases leading to alteration of its function and neuronal circuits. Identifying the structural bases of cerebellar neuronal networks in humans in vi ...
Microcrystalline silicon is a composite material embedding silicon nanocrystals in an amorphous matrix [1]. It has attracted much research efforts in the photovoltaic domain [2], because of its potential for integration in a tandem cell concept as bottom c ...
This work describes the synthesis and characterization of boronic acid-based supramolecular structures. Macrocycles, dendritic structures, polymers, rotaxanes, and cages were assembled using four types of reversible reactions. The key point of the strategy ...
Analysis of the 3D structure of a biological sample is an important step to model cell and tissue dynamics. As a model system, we set up to determine the number of nuclei in a follicular papilla using confocal imaging and 3D computer reconstruction. The fo ...
This paper presents a modeling strategy to simulate 2D propagation of electrical perturbations induced by direct biasing of substrate junctions. Identifying parasitic substrate devices such as bipolar transistors reaches rapidly its limit when multiple cur ...
Given the complex structure of the brain, how can synaptic plasticity explain the learning and forgetting of associations when these are continuously changing? We address this question by studying different reinforcement learning rules in a multilayer netw ...
This paper proposes a new class of low-density generator-matrix codes (LDGM) based on chaotic dynamical systems. The codes are designed by controlling symbolic dynamics and using linear convolutional codes. Analyzing the complex structure of chaotic system ...