Complexity Characterization in a Probabilistic Approach to Dynamical Systems Through Information Geometry and Inductive Inference

Information geometric techniques and inductive inference methods hold great promise for solving computational problems of interest in classical and quantum physics, especially with regard to complexity characterization of dynamical systems in terms of their probabilistic description on curved statistical manifolds. In this article, we investigate the possibility of describing the macroscopic behavior of complex systems in terms of the underlying statistical structure of their microscopic degrees of freedom by use of statistical inductive inference and information geometry. We review the Maximum Relative Entropy (MrE) formalism and the theoretical structure of the information geometrodynamical approach to chaos (IGAC) on statistical manifolds. Special focus is devoted to the description of the roles played by the sectional curvature, the Jacobi field intensity and the information geometrodynamical entropy (IGE). These quantities serve as powerful information geometric complexity measures of information-constrained dynamics associated with arbitrary chaotic and regular systems defined on the statistical manifold. Finally, the application of such information geometric techniques to several theoretical models are presented.Comment: 29 page

Adaptive Phase Detrending for GNSS Scintillation Detection: A Case Study Over Antarctica

We aim at contributing to the reliability of the phase scintillation index on Global Navigation Satellite System (GNSS) signals at high-latitude. To the scope, we leverage on a recently introduced detrending scheme based on the signal decomposition provided by the fast iterative filtering (FIF) technique. This detrending scheme has been demonstrated to enable a fine-tuning of the cutoff frequency for phase detrending used in the phase scintillation index definition. In a single case study based on Galileo data taken by a GNSS ionospheric scintillation monitor receiver (ISMR) in Concordia Station (Antarctica), we investigate how to step ahead of the cutoff frequency optimization. We show how the FIF-based detrending allows deriving adaptive cutoff frequencies, whose value changes minute-by-minute. They are found to range between 0.4 and 1.2 Hz. This allows better accounting for diffractive effects in phase scintillation index calculation and provides a GNSS-based estimation of the relative velocity between satellite and ionospheric irregularities

Disentangling ionospheric refraction and diffraction effects in GNSS raw phase through fast iterative filtering technique

We contribute to the debate on the identification of phase scintillation induced by the ionosphere on the global navigation satellite system (GNSS) by introducing a phase detrending method able to provide realistic values of the phase scintillation index at high latitude. It is based on the fast iterative filtering signal decomposition technique, which is a recently developed fast implementation of the well-established adaptive local iterative filtering algorithm. FIF has been conceived to decompose nonstationary signals efficiently and provide a discrete set of oscillating functions, each of them having its frequency. It overcomes most of the problems that arise when using traditional time–frequency analysis techniques and relies on a consolidated mathematical basis since its a priori convergence and stability have been proved. By relying on the capability of FIF to efficiently identify the frequencies embedded in the GNSS raw phase, we define a method based on the FIF-derived spectral features to identify the proper cutoff frequency for phase detrending. To test such a method, we analyze the data acquired from GPS and Galileo signals over Antarctica during the September 2017 storm by the ionospheric scintillation monitor receiver (ISMR) located in Concordia Station (75.10° S, 123.33° E). Different cases of diffraction and refraction effects are provided, showing the capability of the method in deriving a more accurate determination of the σϕ index. We found values of cutoff frequency in the range of 0.73–0.83 Hz, providing further evidence of the inadequacy of the choice of 0.1 Hz, which is often used when dealing with ionospheric scintillation monitoring at high latitudes

Soybean seed protein concentration is limited by nitrogen supply in tropical and subtropical environments in Brazil

Soybean production contributes to ca. 60% of global plant-based protein used for food and feed. Brazil is the largest soybean producer and exporter, with 60% from tropical and 40% from subtropical environments. Nitrogen (N) can play an essential role in the storage of proteins in seeds; thus, it could be a key factor in increasing the quantity and quality of seeds in high-yielding soybean crops. Unlike in temperate environments, there is a gap of knowledge on whether soybean grown under tropical and subtropical climates are limited by N-fertilization to sustain the seed yield increase without detriments in seed protein concentration. This study aimed to evaluate the effect of N-fertilization on soybean seed yield, protein, and oil concentrations in tropical and subtropical environments in Brazil, thus contributing to agricultural intensification procedures and food security studies. Two levels of N-fertilization (0 and 1000 ka/ha) were tested across 11 tropical or subtropical environments. The range of latitudes explored here was from 12º S to 29º S, representing the major soybean-producing regions in Brazil either under rainfed or irrigated conditions. We found that seed yield responses to N-fertilization were significant (in some environments under rainfed with an average increase of 7%) or not significant (in irrigated). Seed protein increases due to improved N-fertilization (on average 4% for irrigated and 12% for rainfed conditions) were much higher than previous reports from temperate environments. Regardless of N supply and water deficit, there was a trend of seed protein and oil concentration increasing toward lower latitudes

Accounting for Biosecurity in Italy Under COVID-19 Lockdown

Purpose – The paper examines how accounting and accounting experts provided important contributions to the Italian government’s strategy to address the COVID-19 emergency in 2020, especially in terms of implementing new rules of conduct and providing justification for penetrating interventions in the life of individuals. Design/methodology/approach – The paper adopts an interdisciplinary approach by drawing upon Agamben’s concepts of the state of exception, bare life and biosecurity to understand the purposes of the decrees issued by the Italian government and data provided to the citizens in the ‘daily bulletin’ on the crisis by the Civil Protection Department. Findings – Accounting data provided essential contributions to the government’s strategy that sought to spread disquiet and uncertainty in the population to ensure compliance with the strict rules in place, thereby sustaining the management of the country under a state of exception. Originality/value – The work contributes to the literature on accounting and emergencies by studying the use of accounting information as a subtle means to ensure support for extreme government actions and ultimately as a political tool that promotes biosecurity as a new government paradigm. Social implications – The study draws attention to the way in which accounting provides justification for measures that are promoted as provisional but which have enduring effects, most importantly the ability of governments in the future to suspend the rights of individuals. It shows how accounting can influence people’s behaviour and contribute to the development of a permanent state of exception that significantly increases government prerogatives

Treatment Preferences for Pharmacological versus Psychological Interventions among Primary Care Providers in Nepal: Mixed Methods Analysis of a Pilot Cluster Randomized Controlled Trial.

There is increasing evidence supporting the effectiveness of psychological interventions in low- and middle-income countries. However, primary care providers (PCPs) may prefer treating patients with medication. A secondary exploratory analysis of a pilot cluster randomized controlled trial was conducted to evaluate psychological vs. pharmacological treatment preferences among PCPs. Thirty-four health facilities, including 205 PCPs, participated in the study, with PCPs in 17 facilities assigned to a standard version of the mental health Gap Action Programme (mhGAP) training delivered by mental health specialists. PCPs in the other 17 facilities received mhGAP instruction delivered by specialists and people with lived experience of mental illness (PWLE), using a training strategy entitled Reducing Stigma among HealthcAre ProvidErs (RESHAPE). Pre- and post- intervention attitudes were measured through quantitative and qualitative tools. Qualitative interviews with 49 participants revealed that PCPs in both arms endorsed counseling\u27s benefits and collaboration within the health system to provide counseling. In the RESHAPE arm, PCPs were more likely to increase endorsement of statements such as depression improves without medication

Accounting for the ‘Deviant’ in 19th Century Italian Prisons

Studies of accounting in prisons have documented how the dominance of neo-liberal preferences in the management of prison systems has meant a focus on measuring cost-effectiveness and discharging accountability in a way which ignores important aspects of prison life such as decency and rehabilitation. The present work recognises the need for accounting studies to unmask the prejudiced, interested and potentially socially damaging use of accounting in prison reform by exposing how accounting is often a tool which can be used to discipline individuals consistent with the values of economic and political elites within a society. By applying a Foucauldian lens to the analysis of the prison systems of the major Italian States in the early 19th century, the study shows how accounting was an essential aid in ensuring that the correction of individuals was carried out consistent with the moral priorities of the liberal bourgeois society of the time. The specific visibilities created by means of accounting, upon which decisions on the life of prisoners were made and which still characterise modern prisons, reduced human life to a simplistic numerical representation. These were then used to reconstruct ‘deviant’ individuals as productive, obedient citizens, regardless of their specific circumstances

Performance of scintillating tiles with direct silicon-photomultiplier (SiPM) readout for application to large area detectors

The light yield, the time resolution and the efficiency of different types of scintillating tiles with direct Silicon Photomultiplier readout and instrumented with a customised front-end electronics have been measured at the Beam Test Facility of Laboratori Nazionali di Frascati and several test stands. The results obtained on minimum ionising particles with different detector configurations are presented. A time resolution of the order of 300 ps, a light yield of more than 230 photo-electrons, and an efficiency better than 99.8% are obtained with ∼ 225 cm2 large area tiles. This technology is suitable for a wide range of applications in high-energy physics, in particular for large area muon and timing detectors

Operational experience with the GEM detector assembly lines for the CMS forward muon upgrade

The CMS Collaboration has been developing large-area triple-gas electron multiplier (GEM) detectors to be installed in the muon Endcap regions of the CMS experiment in 2019 to maintain forward muon trigger and tracking performance at the High-Luminosity upgrade of the Large Hadron Collider (LHC); 10 preproduction detectors were built at CERN to commission the first assembly line and the quality controls (QCs). These were installed in the CMS detector in early 2017 and participated in the 2017 LHC run. The collaboration has prepared several additional assembly and QC lines for distributed mass production of 160 GEM detectors at various sites worldwide. In 2017, these additional production sites have optimized construction techniques and QC procedures and validated them against common specifications by constructing additional preproduction detectors. Using the specific experience from one production site as an example, we discuss how the QCs make use of independent hardware and trained personnel to ensure fast and reliable production. Preliminary results on the construction status of CMS GEM detectors are presented with details of the assembly sites involvement

Virtual Reflexes

Virtual Reality is used successfully to treat people for regular phobias. A new challenge is to develop Virtual Reality Exposure Training for social skills. Virtual actors in such systems have to show appropriate social behavior including emotions, gaze, and keeping distance. The behavior must be realistic and real-time. Current approaches consist of four steps: 1) trainee social signal detection, 2) cognitive-affective interpretation, 3) determination of the appropriate bodily responses, and 4) actuation. The "cognitive" detour of such approaches does not match the directness of human bodily reflexes and causes unrealistic responses and delay. Instead, we propose virtual reflexes as concurrent sensory-motor processes to control virtual actors. Here we present a virtual reflexes architecture, explain how emotion and cognitive modulation are embedded, detail its workings, and give an example description of an aggression training application