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The spread of global value chains (GVCs) has given rise to new statistical tools, the Inter-Country Input-Output tables and new analytical frameworks aimed at properly identifying production linkages between and within economies. However, several important questions remain unaddressed. This paper proposes a new toolkit for value-added accounting of trade flows at the aggregate, bilateral, and sectoral levels that can be used to investigate a broad set of empirical questions-including an assessment of the share of trade related to GVCs. The paper shows how different empirical issues require distinct accounting perspectives, and maps these methodologies onto the economic questions they are best suited to address. In this way, in addition to providing novel tools, the paper brings a large part of the related literature under one comprehensive framework. the WDR 2020 team for their insightful comments. The views expressed in this paper are solely those of the authors and do not necessarily reflect those of the Bank of Italy. The usual disclaimer applies.

We propose a prototype of a Variable Stiffness Actuator (VSA) conceived with low cost as its first goal. This approach was scarcely covered in past literature. Many recent works introduced a large number of actuators with adjustable stiffness, optimized for a wide set of applications. They cover a broad range of design possibilities, but their availability is still limited to small quantities. This work presents the design and implementation of a modular servo-VSA multi-unit system, called VSA-CubeBot. It offers a customizable platform for the realization and test of variable stiffness robotic structures with many degrees of freedom. We present solutions relative to the variable stiffness mechanism, embedded electronics, mechanical and electrical interconnections. Characteristics, both theoretic and experimental, of the single actuator are reported and, finally, five units are interconnected to form a single arm, to give an example of the many possible applications of this modular VSA actuation unit.

Compelling evidence suggests that mood disorders are characterized by reduced neuronal plasticity that might be normalized by pharmacological intervention. Our study aimed to establish whether chronic antidepressant treatment could alter the modulation of the neurotrophin brain-derived neurotrophic factor (BDNF) under a stressful condition. Therefore, adult male Sprague-Dawley rats were treated for 21 days with vehicle or with the SNRI duloxetine and, 24 h after the last injection, exposed to an acute swim stress (5 min) before being killed 15 min later. We found that chronic duloxetine treatment was able to modulate the rapid transcriptional changes of BDNF isoforms produced by an acute swim stress. Indeed whereas the mRNA levels of BDNF exon IV were upregulated by stress in vehicle as well as in duloxetine-treated rats, a significant increase of exon VI and exon IX was only found in rats that were pretreated with the antidepressant. These differential effects are in part because of selective changes in signaling pathways involved in the control of BDNF transcription. Moreover, the acute stressful episode significantly increased the levels of mature BDNF protein in the synaptosomal compartment in rats that were pretreated with the antidepressant, but not in control animals. Our results suggest that chronic antidepressant treatment might affect the responsiveness of BDNF under stressful conditions, suggesting that pharmacological intervention could 'prime' neuroprotective pathways and render them more responsive to preserve cell function and viability.