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Showing papers by "Polytechnic University of Turin published in 2021"


Journal ArticleDOI
TL;DR: The key findings provide inclusive insights for governments, authorities, practitioners, and policy-makers to alleviate the pandemic’s negative impacts on sustainable development and to realize the sustainability transition opportunities post COVID-19.

209 citations


Journal ArticleDOI
TL;DR: This work proposes a novel Spatial-Temporal Transformer network (ST-TR) which models dependencies between joints using the Transformer self-attention operator, outperforming the state-of-the-art on NTU-RGB+D w.r.t.

154 citations


Journal ArticleDOI
TL;DR: In this paper, the authors highlight recent evidence of collective behaviors induced by higher-order interactions and outline three key challenges for the physics of higher order complex networks, which is the main paradigm for modeling the dynamics of interacting systems.
Abstract: Complex networks have become the main paradigm for modelling the dynamics of interacting systems. However, networks are intrinsically limited to describing pairwise interactions, whereas real-world systems are often characterized by higher-order interactions involving groups of three or more units. Higher-order structures, such as hypergraphs and simplicial complexes, are therefore a better tool to map the real organization of many social, biological and man-made systems. Here, we highlight recent evidence of collective behaviours induced by higher-order interactions, and we outline three key challenges for the physics of higher-order systems. Network representations of complex systems are limited to pairwise interactions, but real-world systems often involve higher-order interactions. This Perspective looks at the new physics emerging from attempts to characterize these interactions.

150 citations


Journal ArticleDOI
TL;DR: In this article, the efficiency and applicability of the reviewed approaches are discussed with particular attention to the configurations within the water purification train, and the combination of two oxidation approaches or the oxidation with a membrane-based treatment within the same hybrid system is particularly promising.

141 citations



Book
24 Aug 2021
TL;DR: In this article, the authors overview graph spectral techniques in graph signal processing (GSP) specifically for image/video processing, including image compression, image restoration, image filtering, and image segmentation.
Abstract: Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless sensor networks). Though a digital image contains pixels that reside on a regularly sampled 2-D grid, if one can design an appropriate underlying graph connecting pixels with weights that reflect the image structure, then one can interpret the image (or image patch) as a signal on a graph, and apply GSP tools for processing and analysis of the signal in graph spectral domain. In this paper, we overview recent graph spectral techniques in GSP specifically for image/video processing. The topics covered include image compression, image restoration, image filtering, and image segmentation.

126 citations


Journal ArticleDOI
TL;DR: The aim of this review is to provide an overview on the types of methods that are used within deep learning frameworks either to optimally prepare the input or to improve the results of the network output (post-processing), focusing on digital pathology image analysis.

124 citations


Journal ArticleDOI
TL;DR: In this article, a machine learning-based risk stratification model was developed to predict all-cause death, recurrent acute myocardial infarction, and major bleeding after acute coronary syndrome (ACS).

120 citations


Journal ArticleDOI
TL;DR: In this paper, the importance of albumin as a nanodrug delivery carrier for hydrophobic drugs, taking advantage of the passive as well as active targeting potential of this nanocarrier.
Abstract: Albumin is an appealing carrier in nanomedicine because of its unique features. First, it is the most abundant protein in plasma, endowing high biocompatibility, biodegradability, nonimmunogenicity, and safety for its clinical application. Second, albumin chemical structure and conformation allows interaction with many different drugs, potentially protecting them from elimination and metabolism in vivo, thus improving their pharmacokinetic properties. Finally, albumin can interact with receptors overexpressed in many diseased tissues and cells, providing a unique feature for active targeting of the disease site without the addition of specific ligands to the nanocarrier. For this reason, albumin, characterized by an extended serum half-life of around 19 days, has the potential of promoting half-life extension and targeted delivery of drugs. Therefore, this article focuses on the importance of albumin as a nanodrug delivery carrier for hydrophobic drugs, taking advantage of the passive as well as active targeting potential of this nanocarrier. Particular attention is paid to the breakthrough NAB-Technology, with emphasis on the advantages of Nab-Paclitaxel (Abraxane), compared to the solvent-based formulations of Paclitaxel, i.e., CrEL-paclitaxel (Taxol) in a clinical setting. Finally, the role of albumin in carrying anticancer compounds is depicted, with a particular focus on the albumin-based formulations that are currently undergoing clinical trials. The article sheds light on the power of an endogenous substance, such as albumin, as a drug delivery system, signifies the importance of the drug vehicle in drug performance in the biological systems, and highlights the possible future trends in the use of this drug delivery system.

112 citations


Posted ContentDOI
TL;DR: It is demonstrated here that EC-Earth3 is suited for a range of tasks in CMIP6 and beyond, and key performance metrics demonstrate physical behaviour and biases well within the frame known from recent CMIP models.
Abstract: The Earth System Model EC-Earth3 for contributions to CMIP6 is documented here, with its flexible coupling framework, major model configurations, a methodology for ensuring the simulations are comparable across different HPC systems, and with the physical performance of base configurations over the historical period The variety of possible configurations and sub-models reflects the broad interests in the EC-Earth community EC-Earth3 key performance metrics demonstrate physical behaviour and biases well within the frame known from recent CMIP models With improved physical and dynamic features, new ESM components, community tools, and largely improved physical performance compared to the CMIP5 version, EC-Earth3 represents a clear step forward for the only European community ESM We demonstrate here that EC-Earth3 is suited for a range of tasks in CMIP6 and beyond

110 citations


Journal ArticleDOI
TL;DR: The data reported in this review highlighted the need for future studies on road traffic NEE to broaden their research area, and to focus not only on the standardization of methods and the introduction of regulations, but also on improving already existing technologies and mitigating strategies.

Journal ArticleDOI
TL;DR: Inspired by biological proteins, artificial water channels can be used to overcome the performances of traditional desalination membranes and are incorporated in composite polyamide membranes synthesized via interfacial polymerization, providing biomimetic membranes for desalinated water.
Abstract: Inspired by biological proteins, artificial water channels (AWCs) can be used to overcome the performances of traditional desalination membranes. Their rational incorporation in composite polyamide provides an example of biomimetic membranes applied under representative reverse osmosis desalination conditions with an intrinsically high water-to-salt permeability ratio. The hybrid polyamide presents larger voids and seamlessly incorporates I–quartet AWCs for highly selective transport of water. These biomimetic membranes can be easily scaled for industrial standards (>m2), provide 99.5% rejection of NaCl or 91.4% rejection of boron, with a water flux of 75 l m−2 h−1 at 65 bar and 35,000 ppm NaCl feed solution, representative of seawater desalination. This flux is more than 75% higher than that observed with current state-of-the-art membranes with equivalent solute rejection, translating into an equivalent reduction of the membrane area for the same water output and a roughly 12% reduction of the required energy for desalination. Inspired by biological models, I–quartet artificial water channels can be incorporated in composite polyamide membranes synthesized via interfacial polymerization, providing biomimetic membranes for desalination.

Journal ArticleDOI
TL;DR: In this article, a review of the key components of AM in-situ alloying process, from initial blend preparation to requirements for the final composition homogeneity, is presented.

Journal ArticleDOI
TL;DR: In this paper, the authors report on in materia reservoir computing in a fully memristive architecture based on self-organized nanowire networks, where functional synaptic connectivity with nonlinear dynamics and fading memory properties is exploited.
Abstract: Neuromorphic computing aims at the realization of intelligent systems able to process information similarly to our brain. Brain-inspired computing paradigms have been implemented in crossbar arrays of memristive devices; however, this approach does not emulate the topology and the emergent behaviour of biological neuronal circuits, where the principle of self-organization regulates both structure and function. Here, we report on in materia reservoir computing in a fully memristive architecture based on self-organized nanowire networks. Thanks to the functional synaptic connectivity with nonlinear dynamics and fading memory properties, the designless nanowire complex network acts as a network-wide physical reservoir able to map spatio-temporal inputs into a feature space that can be analysed by a memristive resistive switching memory read-out layer. Computing capabilities, including recognition of spatio-temporal patterns and time-series prediction, show that the emergent memristive behaviour of nanowire networks allows in materia implementation of brain-inspired computing paradigms characterized by a reduced training cost.

Journal ArticleDOI
TL;DR: The definition of fractional calculus is introduced into a 3D multi-attribute chaotic system in this research, and a novel chaotic system without equilibrium points is constructed, in which the nonlinear function term in FMACS is replaced with a rare non linear function e x .
Abstract: The definition of fractional calculus is introduced into a 3D multi-attribute chaotic system in this paper. The fractional multi-attribute chaotic system (FMACS) numerical solution is obtained based on the Adomian decomposition method (ADM). The balance points and dynamical behaviors of self-excited and hidden attractors in FMACS are compared and analyzed through the Lyapunov spectrum, bifurcation model, and complexity. It is worth noting that some hidden coexistence attractors with different shapes are affected by the order. Besides, a novel chaotic system without equilibrium points is constructed, in which the nonlinear function term in FMACS is replaced with a rare nonlinear function e x . Meanwhile, its degradation phenomenon and state transition phenomenon are analyzed in detail. Finally, the digital circuit of the system is realized on the DSP board. The research result shows that FMACS has richer dynamical behaviors and higher complexity. This research provides a theoretical basis and guidance for the application of fractional chaotic systems.

Journal ArticleDOI
01 Mar 2021-Carbon
TL;DR: In this paper, a structural study of CDs is presented in order to rectify this shortcoming and the properties of three CDs which have significant promise in biomedical applications, black CDs (B-CDs), carbon nitride dots (CNDs), and yellow CDs (Y-CDS).

Journal ArticleDOI
TL;DR: In this article, small molecules with as few as three electric charges can effectively induce attractive interactions between oppositely charged nanoparticles in water, which can guide the assembly of charged particles into colloidal crystals of a quality previously only thought to result from their co-crystallization with other negatively charged particles of similar size.
Abstract: Coulombic interactions can be used to assemble charged nanoparticles into higher-order structures, but the process requires oppositely charged partners that are similarly sized. The ability to mediate the assembly of such charged nanoparticles using structurally simple small molecules would greatly facilitate the fabrication of nanostructured materials and harnessing their applications in catalysis, sensing and photonics. Here we show that small molecules with as few as three electric charges can effectively induce attractive interactions between oppositely charged nanoparticles in water. These interactions can guide the assembly of charged nanoparticles into colloidal crystals of a quality previously only thought to result from their co-crystallization with oppositely charged nanoparticles of a similar size. Transient nanoparticle assemblies can be generated using positively charged nanoparticles and multiply charged anions that are enzymatically hydrolysed into mono- and/or dianions. Our findings demonstrate an approach for the facile fabrication, manipulation and further investigation of static and dynamic nanostructured materials in aqueous environments.

Journal ArticleDOI
TL;DR: In this article, the potential of investments in the energy sector in Italy through the application of the Input-Output analysis was investigated, focusing on wind, photovoltaic, hydroelectric and geothermal infrastructures.

Journal ArticleDOI
TL;DR: This paper proposes a set of key performance indicators to evaluate potential improvements in operational, environmental and social performances of integrated passenger and freight flows, compared to the current transport schemes.

Journal ArticleDOI
TL;DR: It is demonstrated that digitalization may engender new idiosyncratic tensions in the organizational antecedents of search and recombination and, by implication, in their likely outcomes, including knowledge layering, knowledge integration, knowledge grafting, or even no recombination at all.

Journal ArticleDOI
TL;DR: A large-scale membrane technology has been widely implemented and rapidly growing for roughly 40 years, however, considering its entire life cycle, there are aspects being characterized by low sustenance.
Abstract: Large-scale membrane technology has been widely implemented and rapidly growing for roughly 40 years. However, considering its entire life cycle, there are aspects being characterized by low sustai...

Journal ArticleDOI
TL;DR: The provided inclusive research landscape of WM systems can serve as a base for a real-time guideline to lead further research areas and as a tool to support WM policy-makers and practitioners to support the CE transition (which aims to minimize the waste generation).

Journal ArticleDOI
TL;DR: In this review, TENG’s basic structure as well as its working process and working mode are discussed, the integration method of TENGs with energy storage systems and the related research status are introduced in detail and some problems are put forward.
Abstract: The emergence of electronic devices has brought earth-shaking changes to people’s life. However, an external power source may become indispensable to the electronic devices due to the limited capacity of batteries. As one of the possible solutions for the external power sources, the triboelectric nanogenerator (TENG) provides a novel idea to the increasing number of personal electronic devices. TENG is a new type of energy collector, which has become a hot spot in the field of nanotechnology. It is widely used at the acquisition and conversion of mechanical energy to electric energy through the principle of electrostatic induction. On this basis, the TENG could be integrated with the energy storage system into a self-powered system, which can supply power to the electronic devices and make them work continuously. In this review, TENG’s basic structure as well as its working process and working mode are firstly discussed. The integration method of TENGs with energy storage systems and the related research status are then introduced in detail. At the end of this paper, we put forward some problems and discuss the prospect in the future.

Journal ArticleDOI
16 Sep 2021-Polymer
TL;DR: In this article, the potential of chitosan as a biopolymer laden with NaI salt is explored and applied as solid polymer electrolyte for dye sensitised solar cells.

Journal ArticleDOI
15 Mar 2021-Energy
TL;DR: In this article, the authors present a survey on the use of demand side application in district heating networks, including direct and indirect demand side management (demand response) techniques, and show that the following benefits can be achieved: peak shaving up to 30%, doubled load factor, reduction of primary energy needs up to 5%, emission and cost reduction up to 10%.

Journal ArticleDOI
TL;DR: In this paper, the effect of preoxidized kraft lignin with poly(ethylene glycol)diglycidylether (PEGDGE) relative proportions on the characteristics of the obtained membranes was thoroughly investigated, and clear structure-property correlations were highlighted.
Abstract: In the quest for sustainable materials for quasi-solid-state (QS) electrolytes in aqueous dye-sensitized solar cells (DSSCs), novel bioderived polymeric membranes were prepared in this work by reaction of preoxidized kraft lignin with poly(ethylene glycol)diglycidylether (PEGDGE). The effect of the PEGDGE/lignin relative proportions on the characteristics of the obtained membranes was thoroughly investigated, and clear structure-property correlations were highlighted. In particular, the glass transition temperature of the materials was found to decrease by increasing the amount of PEGDGE in the formulation, indicating that polyethylene glycol chains act as flexible segments that increase the molecular mobility of the three-dimensional polymeric network. Concurrently, their swelling ability in liquid electrolyte was found to increase with the concentration of PEGDGE, which was also shown to influence the ionic transport efficiency within the membrane. The incorporation of these lignin-based cross-linked systems as QS electrolyte frameworks in aqueous DSSCs allowed the preparation of devices with excellent long-term stability under UV-vis light, which were found to be superior to benchmark QS-DSSCs incorporating state-of-the-art carboxymethylcellulose membranes. This study provides the first demonstration of lignin-based QS electrolytes for stable aqueous DSSCs, establishing a straightforward strategy to exploit the potential of lignin as a functional polymer precursor for the field of sustainable photovoltaic devices.

Journal ArticleDOI
TL;DR: A new four-dimensional dissipative chaotic system which can produce multiple asymmetric attractors is designed and its dynamical behaviors are analyzed and the basin of attraction reveals the asymmetric multistability of the system.
Abstract: In this paper, a new four-dimensional dissipative chaotic system which can produce multiple asymmetric attractors is designed and its dynamical behaviors are analyzed. The basin of attraction reveals the asymmetric multistability of the system. In addition, it is very interesting to observe different types of asymmetric coexisting attractors as the bifurcation parameters change. The spectral entropy complexity chaotic diagrams are used to observe the changes in the sequence complexity when the two bifurcation parameters change simultaneously. Moreover, the difference of the system complexity between the two different initial values is analyzed. In order to facilitate engineering applications, the offset boosting control is introduced to the state variable, and the numerical simulation shows that the offset boosting control scheme can flexibly change the polarity of the chaotic signal. Finally, an analog circuit and a digital circuit were designed to verify the new chaotic system. The new research results will enrich the theoretical basis of multistability, offset boosting control and circuit implementation of chaos.

Journal ArticleDOI
TL;DR: Although the functions of spatial governance and planning systems are generalizable, 30 years of comparative studies, especially in Europe, have shown the heterogeneity characterising these ‘instititit...
Abstract: Although the functions of spatial governance and planning systems are generalizable, 30 years of comparative studies, especially in Europe, have shown the heterogeneity characterising these ‘instit...

Journal ArticleDOI
TL;DR: Magnesium-based batteries represent one of the successfully emerging electrochemical energy storage chemistries, mainly due to the high theoretical volumetric capacity of metallic magnesium, its low reduction potential (−2.37 V vs. SHE), abundance in the Earth's crust (104 times higher than that of lithium) and dendrite-free behaviour when used as an anode during cycling as mentioned in this paper.
Abstract: Magnesium-based batteries represent one of the successfully emerging electrochemical energy storage chemistries, mainly due to the high theoretical volumetric capacity of metallic magnesium (i.e., 3833 mAh cm−3 vs. 2046 mAh cm−3 for lithium), its low reduction potential (−2.37 V vs. SHE), abundance in the Earth’s crust (104 times higher than that of lithium) and dendrite-free behaviour when used as an anode during cycling. However, Mg deposition and dissolution processes in polar organic electrolytes lead to the formation of a passivation film bearing an insulating effect towards Mg2+ ions. Several strategies to overcome this drawback have been recently proposed, keeping as a main goal that of reducing the formation of such passivation layers and improving the magnesium-related kinetics. This manuscript offers a literature analysis on this topic, starting with a rapid overview on magnesium batteries as a feasible strategy for storing electricity coming from renewables, and then addressing the most relevant outcomes in the field of anodic materials (i.e., metallic magnesium, bismuth-, titanium- and tin-based electrodes, biphasic alloys, nanostructured metal oxides, boron clusters, graphene-based electrodes, etc.).