Sleep-like slow oscillations improve visual classification through synaptic homeostasis and memory association in a thalamo-cortical model

The occurrence of sleep passed through the evolutionary sieve and is widespread in animal species. Sleep is known to be beneficial to cognitive and mnemonic tasks, while chronic sleep deprivation is detrimental. Despite the importance of the phenomenon, a complete understanding of its functions and underlying mechanisms is still lacking. In this paper, we show interesting effects of deep-sleep-like slow oscillation activity on a simplified thalamo-cortical model which is trained to encode, retrieve and classify images of handwritten digits. During slow oscillations, spike-timing-dependent-plasticity (STDP) produces a differential homeostatic process. It is characterized by both a specific unsupervised enhancement of connections among groups of neurons associated to instances of the same class (digit) and a simultaneous down-regulation of stronger synapses created by the training. This hierarchical organization of post-sleep internal representations favours higher performances in retrieval and classification tasks. The mechanism is based on the interaction between top-down cortico-thalamic predictions and bottom-up thalamo-cortical projections during deep-sleep-like slow oscillations. Indeed, when learned patterns are replayed during sleep, cortico-thalamo-cortical connections favour the activation of other neurons coding for similar thalamic inputs, promoting their association. Such mechanism hints at possible applications to artificial learning systems.Comment: 11 pages, 5 figures, v5 is the final version published on Scientific Reports journa

Can Telematics Improve Driving Style? The Use of Behavioural Data in Motor Insurance

The use of behavioural data in insurance is loaded with promises and unresolved issues. This paper explores the related opportunities and challenges analysing the use of telematics data in third-party liability motor insurance. Behavioural data are used not only to refine the risk profile of policyholders, but also to implement innovative coaching strategies, feeding back to the drivers the aggregated information obtained from the data. The purpose is to encourage an improvement in their driving style. Our research explores the effectiveness of coaching on the basis of an empirical investigation of the dataset of a company selling telematics motor insurance policies. The results of our quantitative analysis show that this effectiveness crucially depends on the propensity of policyholders to engage with the telematics app. We observe engagement as an additional kind of behaviour, producing second-order behavioural data that can also be recorded and strategically used by insurance companies. The conclusions discuss potential advantages and risks connected with this extended interpretation of behavioural data.Comment: Paper sent for publication on a journal. This is a preliminary version, updated versions will be uploade

Towards a future-oriented accountability:Accounting for the future through Earth Observation data

Purpose – This paper follows the call for more future-oriented practices within organisations, particularly in relation to how they respond to growing concerns about Earth’s sustainability and life on the Planet. This study aims to explore how the data produced by major scientific projects in the Space sector can support future- oriented accountability practices by enabling both a projection and an imagination of a more or less distant future, thereby feeding into accountability practices.Design/methodology/approach – We rely upon a multiple interpretative case study analysis and interview- based data from three main organisations in the Earth observation (EO) value chain: an International Space Company, a Research Centre of Energy Transition and a European Private Equity Firm.Findings – We find that future-oriented accountability practices can be fed by a creative assemblage of scientific data provided by Space sector’s programmes with different sources of knowledge and information. These data are embedded into a broader accountability system, connecting different actors through a “value chain”: from the data providers, gathering data from Space, to the primary users, working on data modelling and analysis, to the end users, such as local authorities, public and private organisations. The predictive data and expertise exchanged throughout the value chain feed into future-oriented accountability efforts across different time-space contexts, as a projected and imagined, more or less distant, future informs the actions and accounts in the present. Originality/value – This research extends the literature on the time dimension of accountability. We show how a creative assemblage of scientific data with different sources of knowledge and information –such as those provided by Space sector’s programmes and EO data – enable organisations to both project the present into (a more or less distant) future and imagine this future differently while taking responsibility, and accounting for, what could be done and desired in response to it. We also contribute to the limited literature on accountability in the Space sector by examining the intricate accountability dynamics underpinning the relationships among the different actors in the EO data value chain.<br/

How much green roofs and rainwater harvesting systems can contribute to urban flood mitigation?

Increased urbanization combined with the intensification of short rainfall events has worsened the urban flood issue. Among the different blue-green solutions to mitigate pluvial floods, green roofs (GR) and rainwater harvesting (RWH) have been investigated as sustainable systems to reduce runoff from rooftops. Their flood mitigation capacity, however, has been estimated mostly at building-scale. Following the need to estimate discharge reduction at large scale over entire cities, we simulated the installation of (extensive, intensive and multilayer blue) GRs on flat roofs and RWH systems for sloped ones. Performances of such systems were investigated in selected cities, representing different climate regimes. Although at building-scale GRs showed higher retention capacity, the cost-efficiency analysis highlights that at large-scale RWH tanks ensure higher retention with lower costs, due to rooftop distribution. The coupled system of multilayer blue-GRs and RWH tanks guarantees a discharge reduction of 5% even during extreme events

Towards a future-oriented accountability:Accounting for the future through Earth Observation data

Purpose: This paper follows the call for more future-oriented practices within organisations, particularly in relation to how they respond to growing concerns about Earth’s sustainability and life on the Planet. This study aims to explore how the data produced by major scientific projects in the Space sector can support future-oriented accountability practices by enabling both a projection and an imagination of a more or less distant future, thereby feeding into accountability practices. Design/methodology/approach: We rely upon a multiple interpretative case study analysis and interview-based data from three main organisations in the Earth Observation (EO) value chain: an International Space Company, a Research Centre of Energy Transition, and a European Private Equity Firm. Findings: We find that future-oriented accountability practices can be fed by a creative assemblage of scientific data provided by Space sector’s programmes with different sources of knowledge and information. These data are embedded into a broader accountability system, connecting different actors through a ‘value chain’: from the data providers, gathering data from Space, to the primary users, working on data modelling and analysis, to the end users, such as local authorities, public and private organisations. The predictive data and expertise exchanged throughout the value chain feed into future-oriented accountability efforts across different time-space contexts, as a projected and imagined, more or less distant, future informs the actions and accounts in the present.Originality: This research extends the literature on the time dimension of accountability. We show how a creative assemblage of scientific data with different sources of knowledge and information - such as those provided by Space sector’s programmes and EO data - enable organisations to both project the present into (a more or less distant) future and imagine this future differently while taking responsibility, and accounting for, what could be done and desired in response to it. We also contribute to the limited literature on accountability in the Space sector by examining the intricate accountability dynamics underpinning the relationships among the different actors in the EO data value chain.<br/

The micro-foundations of Corporate Purpose:Performance management in dynamic environments

This paper examines the micro-foundations of ‘corporate purpose’, that is the enduring reason for being of a corporation in relation to society. While the relevance of corporate purpose has been widely recognized, its practical enactment by managers at the operating level remains problematic, particularly in dynamic environments. By relying upon the field study of a leading Italian group in the food industry, and the literature on the micro-foundations of institutions, we explore the role of a performance management system (PMS) in mobilizing corporate purpose in specific practical situations at the management level, while the organization faces the demands coming from the external environment. We show that the PMS can be drawn upon by managers as a set of tools and practices through which purpose is situated at the micro-level into actions, decisions, and material artefacts that come together in a ‘social situation’. Here, the PMS enables managers to recognize a ‘situation’ for enacting different aspects of purpose through interactions, filling it with evolving meanings, while sustaining its connections with global development needs

Scaling of a large-scale simulation of synchronous slow-wave and asynchronous awake-like activity of a cortical model with long-range interconnections

Cortical synapse organization supports a range of dynamic states on multiple spatial and temporal scales, from synchronous slow wave activity (SWA), characteristic of deep sleep or anesthesia, to fluctuating, asynchronous activity during wakefulness (AW). Such dynamic diversity poses a challenge for producing efficient large-scale simulations that embody realistic metaphors of short- and long-range synaptic connectivity. In fact, during SWA and AW different spatial extents of the cortical tissue are active in a given timespan and at different firing rates, which implies a wide variety of loads of local computation and communication. A balanced evaluation of simulation performance and robustness should therefore include tests of a variety of cortical dynamic states. Here, we demonstrate performance scaling of our proprietary Distributed and Plastic Spiking Neural Networks (DPSNN) simulation engine in both SWA and AW for bidimensional grids of neural populations, which reflects the modular organization of the cortex. We explored networks up to 192x192 modules, each composed of 1250 integrate-and-fire neurons with spike-frequency adaptation, and exponentially decaying inter-modular synaptic connectivity with varying spatial decay constant. For the largest networks the total number of synapses was over 70 billion. The execution platform included up to 64 dual-socket nodes, each socket mounting 8 Intel Xeon Haswell processor cores @ 2.40GHz clock rates. Network initialization time, memory usage, and execution time showed good scaling performances from 1 to 1024 processes, implemented using the standard Message Passing Interface (MPI) protocol. We achieved simulation speeds of between 2.3x10^9 and 4.1x10^9 synaptic events per second for both cortical states in the explored range of inter-modular interconnections.Comment: 22 pages, 9 figures, 4 table

Stress Field and Seismicity at Campi Flegrei Caldera

Aim of this work is the study of the stress field in the Campi Flegrei caldera during the bradyseismic crisis of 1982-1984. n the first part of the work has been analysed old cretaceous and digital seismic datasets relative to 70th years, and the bradyseismic crisis of 1982-1984 where has been recorded the earthquakes linked to uplifts that interested Campi flegrei caldera during 1969-72 and 1982-84. The seismicity dataset has been used to made some analysis as location and focal mechanisms generation. The focal mechanisms are than analysed using two software to determine the principal state of stress that was predominant in that period. Then, starting from ground deformation data, relative to 1100 optical levelling measure done during the bradyseismic crisis, has been use the inversion method to modelling the source of the deformation. Has been used many model as the Mogi model, the penny shaped-crack, and the rectangular crack of Okada. Consequently, a joint inversion was applicate on ground deformation data and seismicity together to better understand the dynamic of the stress in the area.In the last part of the work, has been determined the excess of pore pressure in the Flegrean area, using focal mechanisms to study the influence of fluid pore pressure on change in the Coulomb stress of the area. Has been used the Coulomb-Navier criterion and Terakawa method (2010) to estimate the excess of pore pressure. Finally, in order to evaluate the reliability of the calculated pore pressures, was done thermo-fluid dynamic simulation and analysed the hydrothermal system of Campi Flegrei caldera. So, has been performed a series of simulation thermo-fluid dynamic injecting a flow in the system varying temperature, pressure and injection rate to model the Campi Flegrei caldera during the unrest

A Preliminary Analysis of SASB Reporting: Disclosure Topics, Financial Relevance, and the Financial Intensity of ESG Materiality

At the end of 2018, the Sustainability Accounting Standards Board (SASB) released its corporate reporting standards for material environment, social, and governance (ESG) issues. These SASB standards are analogous to FASB's but deal with ESG activities that help the companies create value over the long term and have been endorsed by large asset management firms such as BlackRock. The authors analyze the quality of ESG reporting by the 91 companies that adopted SASB's framework. While the number of such companies is still small, their results are encouraging, an indication of better things to come. Using three measures of effectiveness, Disclosure Topic Compliance Index (DTCI), Financial Relevance Compliance Index (FRCI), and Financial Intensity Compliance Index (FICI), the authors found that most companies are doing a good to very good job of reporting and companies tend to focus on measures with the highest financial relevance. Scores on these three measures were similar across industry sectors except for a few cases where the DTCI score is low. They presented cases of three SASB standard companies: 1) Sunrun, a residential solar panel company that uses some hazardous materials, 2) Suncor, an integrated oil and gas company, and 3) Target, a retail company in a highly competitive industry needing to keep costs low while also managing an extensive supply chain responsibly. These 91 companies have demonstrated that reporting according to SASB standards can be done well. This success should encourage other companies to follow and the authors offer a seven‐step process to adopt SASB standards