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The question of life is inextricably connected with the problem of
identification and with the fact that each identification process includes
the acquisition of a form. Nevertheless, it appears that at the biological
level, that is, for what concerns a morphogenetic description of the status
of the living being, the term singularity comes into play right there where
you would expect to get into the notion of identity. According to Christian
De Duve, the organic form has no identity, but it expresses - and is an
expression of - a singularity. Given these observations, this is the object
of the paper: to explain in a clear and consistent way how these terms -
namely identity and singularity - differ and whether it is possible to ground
their distinction in a coherent theoretical manner.

In this article we analyse the idea of progress and show that, since its early-modern inception, it has relied on a twofold commitment. On the one hand, it rests on a project of mathematical modelisation of natural and social reality, deterministically conceived. On the other hand, it requires the production of a stable social order capable of implementing that model. This stance, we argue, is still dominant and defines the '(hyper-)modern condition'. Following Gilbert Simondon, we take the cybernetic notion of dynamic stability ('homeostasis') as paradigmatic of the hyper-modern condition. As we explain, this core notion has covered multiple epistemic domains, including the social sciences, and contributed to reformulate the modern idea of progress within the terms dictated by neoliberal governmentality. The connection we establish between cybernetics and neoliberalism will eventually allow us to use Simondon's theory against both. In our view, Simondon's concept of 'metastability' supports an alternative understanding of progress based on the ideas of social change and the government of normative invention, which includes the opening of social systems to a future beyond their own preservation.

In this work we report the metastability and the energetics of the phase transitions of three different polymorphs of BiPO4, namely trigonal (Phase-I, space group P3(1)21), monoclinic monazite-type (Phase-II, space group P2(1)/n) and SbPO4-type monoclinic (Phase-III, space group P2(1)/m) from ambient and non-ambient temperature powder XRD and neutron diffraction studies as well as ab initio density functional theory (DFT) calculations. The symmetry ambiguity between P2(1) and P2(1)/m of the high temperature polymorph of BiPO4 has been resolved by a neutron diffraction study. The structure and vibrational properties of these polymorphs of the three polymorphs have also been reported in detail. Total energy calculations have been used to understand the experimentally observed metastable behavior of trigonal and monazite-type BiPO4. Interestingly, all of the three phases were found to coexist after heating a single phasic trigonal BiPO4 to 773 K. The irreversible nature of these phase transitions has been explained by the concepts of the interplay of the structural distortion, molar volume and total energy. ; This study was supported by the Spanish government MEC under grants no: MAT2010-21270-C04-01/04, by MALTA Consolider Ingenio 2010 project (CSD2007-00045), and by the Vicerrectorado de Investigacion y Desarrollo of the Universidad Politecnica de Valencia (UPV2011-0914 PAID-05-11 and UPV2011-0966 PAID-06-11). S. N. A. acknowledges the support provided by Universitat de Valencia during his visit to it. A. M. and P. R.-H. acknowledge the computing time provided by Red Espanola de Supercomputacion (RES) and MALTA-Cluster. ; Achary, SN.; Errandonea, D.; Muñoz, A.; Rodríguez Hernández, P.; Manjón Herrera, FJ.; Krishna, PSR.; Patwe, SJ. (2013). Experimental and theoretical investigations on the polymorphism and metastability of BiPO4. Dalton Transactions. 42:14999-15015. https://doi.org/10.1039/c3dt51823j ; S ; 14999 ; 15015 ; 42

In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. We used structural and functional neuroimaging data to construct whole- brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function. ; GD is supported by the ERC Advanced Grant DYSTRUCTURE (n. 295129), by the Spanish Research Project PSI2016-75688-P. MLK is supported by the ERC Consolidator Grant: CAREGIVING (n. 615539) and Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117). VJ and GD are supported by the European Union's Horizon 2020 research and innovation programme under grant agreement n. 720270 (HBP SGA1). VJ and PR are supported by the James S. McDonnell Foundation (Brain Network Recovery Group JSMF22002082). VJ is supported by FHU EPINEXT [A*MIDEX project (ANR-11-IDEX-0001-02) funded by the 'Investissements d'Avenir' French Government]. PR is supported the German Ministry of Education and Research (US-German Collaboration in Computational Neuroscience 100258846 and Bernstein Focus State Dependencies of Learning 01GQ0971-5), the Max-Planck Society and funding from the European Union Horizon 2020 (ERC Consolidator grant BrainModes 683049).

In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. We used structural and functional neuroimaging data to construct whole- brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function. ; GD is supported by the ERC Advanced Grant DYSTRUCTURE (n. 295129), by the Spanish Research Project PSI2016-75688-P. MLK is supported by the ERC Consolidator Grant: CAREGIVING (n. 615539) and Center for Music in the Brain, funded by the Danish National Research Foundation (DNRF117). VJ and GD are supported by the European Union's Horizon 2020 research and innovation programme under grant agreement n. 720270 (HBP SGA1). VJ and PR are supported by the James S. McDonnell Foundation (Brain Network Recovery Group JSMF22002082). VJ is supported by FHU EPINEXT [A*MIDEX project (ANR-11-IDEX-0001-02) funded by the 'Investissements d'Avenir' French Government]. PR is supported the German Ministry of Education and Research (US-German Collaboration in Computational Neuroscience 100258846 and Bernstein Focus State Dependencies of Learning 01GQ0971-5), the Max-Planck Society and funding from the European Union Horizon 2020 (ERC Consolidator grant BrainModes 683049).

We study the out-of-equilibrium dynamics of dissipative gases of atoms excited to two or more high-lying Rydberg states. This situation bears interesting similarities to classical binary (in general p-ary) mixtures of particles. The effective forces between the components are determined by the inter-level and intra-level interactions of Rydberg atoms. These systems permit to explore new parameter regimes which are physically inaccessible in a classical setting, for example one in which the mixtures exhibit non-additive interactions. In this situation the out-of-equilibrium evolution is characterized by the formation of metastable domains that reach partial equilibration long before the attainment of stationarity. In experimental settings with mesoscopic sizes, this collective behavior may in fact take the appearance of dynamic symmetry breaking. ; The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013) / ERC Grant Agreement No. 335266 (ESCQUMA), the EU-FET grant HAIRS 612862 and from the University of Nottingham. Further funding was received through the H2020-FETPROACT-2014 grant No. 640378 (RYSQ). We also acknowledge financial support from EPSRC Grant no. EP/M014266/1. Our work has benefited from the computational resources and assistance provided by the University of Nottingham High Performance Computing service.

The conflict-related internal displacement in Ukraine since 2014, after the armed combats with Russian military forces backing the separatist administrations, as well as the occupation of Crimea by the Russian Federation have not been state-organized. They imply a range of personal choices depending on civil positions and destinations for resettlement ; therefore, the affected persons get involved in the consequent practical discourses and decision-making processes. Based on the legislative acts and the international reports on internal displacement, the internal displacement due to the current hybrid war of the Russian Federation against Ukraine is compared with the first Russia-backed separatist conflicts after the collapse of the USSR&mdash ; the wars in South Ossetia, in 1992, and in Abkhazia, in 2008. The internal displacement situations have been reviewed through their dynamic coordination patterns, with regard to non-equilibrium transitions, fluctuations, and adaptations triggered on the systemic, community, and personal levels, as well as to the expected durable solutions: integration, return, temporary resettlement. Therefore, we suggest, for further discussion, the patterns of bistability&mdash ; for the internal displacement due to the Russo-Georgian wars of 1992 and 2008, characterized by an overfocus, in the practical discourses, on the return of the internally displaced persons (IDP), and metastability&mdash ; for the conflict-related internal displacement in Ukraine, with both the return and local integration solutions creating the quasi-stable system.