Recent Additions: New and Updated Entries in the Past 60 Days
Displaying entries 31 through 45 of 77 found.

Ecosmos: A Revolutionary Fertile, Habitable, Solar-Bioplanet, Incubator Lifescape

Wordsworth, Robin, et al. Applied Astrobiology: An Integrated Approach to the Future of Life in Space. . . Astrobiology., 2025. Some sixteen coauthors including Adam Frank, Esther Dyson, Peter Girguis, David Grinspoon, Sara Seager and Dimitri Sasselov propose a wnole spacescape which blends our potential human interstellar presence with a profusion of exoplanet biosigns.

Searching for extraterrestrial life and supporting human life in space are traditionally regarded as separate challenges. However, there are significant benefits to an approach that treats them as different aspects of the same essential problem: How can we conceptualize life beyond our home planet?

Schlecker, Martin, et al. Bioverse: Potentially Observable Exoplanet Biosignature Patterns Under the UV Threshold Hypothesis for the Origin of Life.. arXiv:2504.04261.. University of Arizona, Blue Marble Space Institute, Seattle, Caltech/IPAC-NASA Exoplanet Science Institute, Kapteyn Astronomical Institute, University of Groningen and Observatoire de la Côte d’Azur, France including Daniel Apai contribute to current worldwise deliberations about how to adequately survey, access, and evaluate an increasing multimedia flow of relatively ambiguous data from ground-based instruments and satellite missions such as the JWST. See also Bioverse: The Habitable Zone Inner Edge as an Imprint of Runaway Greenhouse Climates on Exoplanet Demographics by this group in the Planetary Science Journal (5/1, 2024) as an earlier use of this software method.

A wide variety of scenarios for the origin of life have been proposed which influence anticipated biosignatures across exoplanet surveys. Here, we focus on a cyanosulfidic hypothesis whereby a near-ultraviolet (NUV) flux is used to detect abiogenesis. Using Bayesian modeling and the bioverse simulator, we constrain strong evidence for or against this UV Threshold Hypothesis. (Excerpts)

Bioverse is a quantitative framework for assessing a statistical exoplanet survey. It combines Gaia-based stellar samples with Kepler-derived demographics and a mission simulator that enables a variety of observing, follow-up, and characterization strategies.

Arthur, Rudy, et al.. . Life on the Edge: Using Planetary Context to Enhance Biosignatures and Avoid False Positives.. arXiv:2504.18431.. University of Exeter astroscholars including Arwin Nicholson (search RA) draw on their extensive Gaia-like Earth system studies to propose careful, specific ways of detecting and evaluating exoplanet bioatmospheres. See also Prospects for Detecting Signs of Life on Exoplanets in the JWST Era by Sara Seager et al at arXiv:2504.12946 and Comparative Biosignatures by Teraza, Constantinou, et al at arXiv:2505.01512 for more considerations.

We use a probability theory framework to discuss the search for biosignatures which allows us to analyse biosignatures to provide convincing evidence of extraterrestrial life. Our perspective of functional planetary views opens to a “peribiosignatures” concept, based on past Gaia studies, where life is unlikely. Finally, we discuss the implications of context dependence on observational strategy, suggesting that searching the edges of the habitable zone rather than the middle might be more likely to provide convincing evidence of life. (Abstract)

Vidotto, Aline. Star–Planet Interactions: A Computational View. Annual Review of Astronomy and Astrophysics.. Volume 63, 2025. A Leiden Observatory professor and SPI group leader presents the latest evidential findings which convey and quantify how whole dynamic solar systems possess an overall physical identity. See also A Resonant Beginning for the Solar System Terrestrial Planets by this Leiden effort at arXiv:2506.04164.

There are several physical processes between an exoplanet and its host star such as magnetic forces, stellar outflow, radiative and tidal. Their strengths depend on the architecture of planetary systems, as well as the age and activity of the solar center. Here, I present an overview of star-planet interactions which vary in time from hours to giga-years related to planetary orbital motion, rotation and stellar flares, cycles and long-term evolution. I advocate that future 3D models should be informed by multi-wavelength, (near-)simultaneous observations. (Excerpt)

I covered three main SPI types which are mediated by stellar magnetism: radiative interactions expand exoplanetary atmospheres, particle flows are affected by the stellar wind and magnetic connections between stellar and planetary field lines. The strength of the SPI depends on the architecture of planetary systems, as well as the age and activity of the host stars. (36)

Cmiel, Jessica, et al. Characterizing the Radiative-Convective Structure of Dense Rocky Planet Atmospheres.. arXiv:2505.00775. This 2025 entry by Harvard astroscientists describes extensive quantifications of the early Earth crustal ground to gaseous envelope environment. As these findings attest, they identify another still more Goldilocks just-right conditions for living systems to appear, survive, evolve and reach their present retrospect. See also A cool runaway greenhouse without surface magma ocean by Franck Selsis, et al in Nature (620/287, 2023).

We use a radiative-convective model to simulate hot, dense terrestrial-planet atmospheres. We find that strong shortwave absorption by H2O and CO2 inhibits near-surface convection, which reduces surface temperatures compared to convective predictions. We also show that greenhouse gases such as SO2 and NH3 have a limited warming effect. Our results highlight the role of shortwave heating on magma ocean planets and the need for improved high-temperature spectroscopy. (Excerpt).

Mitrašinović, Ana, et al. Revisiting the bimodality of galactic habitability in IllustrisTNG. arXiv:2505.11048. Astronomical Observatory, Belgrade, Serbia searchers including Branislav Vukotić, and Milan Ćirković describe the latest abilities by which a wide array of galaxy neighborhoods could be quantified as hospitable to animate, evolutionary systems.

The potential of galaxy-scale evolution and cosmological processes to host habitable planets is central to astrobiology. Using IllustrisTNG (a series of cosmological magneto-hydrodynamical simulations to illuminate the physical processes that drive galaxy formation) we revisit the mass-metallicity relation for small, metal-rich, star-forming galaxies as an indicator of enhanced galactic habitability. This research underscores the need for a holistic approach to studying habitability that moves beyond planetary and stellar-focused frameworks to incorporate the broader galactic environment. (Excerpt)

Nojiri, Caitlyn, et al. Life in the Bubble: How a Nearby Supernova Left Ephemeral Effects on the Cosmic-Ray Spectrum and Imprints on Life. Astrophysical Journal Letters. 979/1, 2025. UC Santa Cruz and Stanford University astrophysicists add still another, galactic scale, radiative influence upon Earth’s developmental course of living systems due to adjacent, mobile supernovas which then might affect rudimentary cells and maybe cloudy mantles which reflect sunlight. See also Cosmic ray ionisation must be considered in early origin-of-life scenarios by S. Raeside, et al at arXiv:2504.02596.

The Earth sits inside a 300 pc-wide void due to supernova explosions tens of millions of years ago and creating a bubble-like structure. In this Letter, we show that the supernova source responsible for synthesizing 60Fe peak deposits can explain the cosmic-ray spectrum between 100 TeV and 100 PeV. We estimate the temporal variation of cosmic radiation levels and their implications in the development of early life on Earth by plausibly influencing the mutation rate and the evolution of complex organisms. (Excerpts)

As such, cosmic rays from nearby SN play a key role in the development of life on Earth by potentially influencing the mutation rates of early life forms and, as such, potentially assisting in the evolution of complex organisms as well as even shaping the “handedness” of biological molecules. (8)

Ecosmomics: Independent Complex Network Systems, Computational Programs, Genetic Ecode Scripts

buehler, Markus. Self-Organizing Graph Reasoning Evolves into a Critical State for Continuous Discovery Through Structural-Semantic Dynamics. arXiv:2503.18852. The MIT materials scientist continues to develop and post his complex systems theories which here achieve a strongest, definitive description and endorsement of a natural universality of self-organized critical, optimum state. This phenomenal performance is evident in neural and cognitive domains and everywhere else, so it seems. In regard, this 2025 entry could exemplify how 21st century worldwise studies of nature’s inherent, mathematic procreativity have reached a robust, integral veracity. See also Sparks: Multi-Agent Artificial Intelligence Model Discovers Protein Design Principles by Alireza Ghafarollahi, and Markus Buehler at arXiv:2504.19017 for more.

We report new insights into how agentic graph reasoning systems spontaneously evolve toward a critical state which is quantified by a Critical Discovery Parameter. The whole system exhibits scale-free and small-world topological features, which reinforces a self-organized criticality. These results establish clear parallels with critical phenomena in physical, biological, and cognitive complex systems by way of an entropy-based principle governing adaptability and innovation. (Excerpts)

The Critical Discovery Principle mirrors natural and artificial complex systems. In biology, gene regulatory and protein interaction networks maintain stability through inter-dynamics driven by migration, mutation, and invasion to ensure resilience and adaptability. In social and economic contexts, innovation networks balance structural viability with semantic exploration. Finally, AI systems balance exploitation of knowledge with exploration by semantically novel opportunities, embodying the universal criticality. (5, 6)

These interdisciplinary parallels suggest that the persistent semantic basis and critical discovery dynamics are not isolated phenomena, but manifestations of a deep organizing agency across complex adaptive systems. (6) Specifically, analogous to biological networks and physical systems exhibiting scale-invariant phenomena near critical points, we anticipate that the reasoning graph will form nested communities characterized by hierarchies and scale-free connectivity distributions. (6)

Mendes, José Fernando. Complexities: An Open Access Journal for the Field of Complex Systems. Complexities. 1/1, 2025. As the quotes say, this posting introduces a new MDPI journal on nature’s intrinsic, universal, mathematical interconnective animations. A further incentive is to then be able to apply such findings to mitigate intense public health and welfare problems.

Complex systems are embedded everywhere in natural and artificial processes from ecosystems to social networks. Their phenomena is defined by interconnectivity, non-linear behaviors, and emergent properties, where the whole exceeds the sum of its parts. Our intent in this unique, dedicated journal is to provide a platform for innovative research in areas such as systems theory, network science, non-linear dynamics, computational complexity, and quantum complexity. Advanced computational tools and extensive datasets now exist for modeling emergence, multi-agent interactions and finding hidden patterns. At the same time, global issues such as pandemics and economies benefit from interdisciplinary collaboration and innovative approaches.

Prof. Dr. José Fernando Mendes is a distinguished Portuguese physicist known work in network theory and complex systems. He earned his PhD from the University of Porto and currently holds a Full Professorship at the University of Aveiro. He served as President of the Complex Systems Society (2021–2024) and currently directs the Institute i3N-Aveiro.

Asllani, Malbor and Alex Arenas. Pattern formation framework for chimera states in complex networks.. Physical Review E.. 111/044306, 2025. Florida State University and Universitat Rovira i Virgili physicists (organicists) bring a novel perspective to study this phenomena which emphasizes geometric forms, which is seen as akin to Alan Turing’s morphogenesis. We also record in this year an increasing notice of chimera dynamics everywhere, search F. Orsucci.

Chimera states distinguished by the coexistence of order and disorder are a recent research interest but their occasion remains an issue. In regard, our work evokes a pattern formation theory to explain the emergence of chimera states in complex networks in a similar way to how Turing morphologies are produced. Our findings suggest that chimeras result from the interplay between local and global dynamics at different timescales. Validated through simulations and empirical network analyses, our method enriches the understanding of coupled oscillator dynamics.

Barjuan, Laia, et al. The multiscale self-similarity of the weighted human brain connectome. PLoS Computational Biology. April, 2025. Universitat de Barcelona and Jiangsu University, China neuroscientists including M. Angeles Serrano describe their comprehensive theoretic and empirical findings to date of a cerebral faculty distinguished by local and global recurrent patterns and a best critical balance. This exemplary affirmation can now be traced to and grounded in major physical principles. We then want to highlight this report as a prime instance of the mid 2020s achievement of a universal synthesis.

Anatomical connectivity between brain regions can be mapped to a network representation known as the connectome by way of links, weights, resilience and functions. Yet, these features are not fully understood. In this paper, we elucidate the architecture of multiscale neural nets from empirical data sets to reveal a fractal-like self-similarity in every occasion. This commonality is based on a theoretical renormalization model across all geometric scales. The observed symmetry also represents a signature of criticality states. (Excerpts)

The multiscale self-similarity of human connectomes, along with their modular organization, ensures that spectra representing weak ties are invariant across scales. Critical systems often demonstrate such fractal behavior, reflecting their organization as poised between various phases. Self-organized criticality is seen in non-equilibrium systems with many degrees of freedom which leads us to an evolutionary criticality. (14)

Delabays, Robin, et al. Hypergraph reconstruction from dynamics.. Nature Communications.. 16/2691, 2025. As our cognizance and understanding of nature’s actual organic anatomy and physiology grows apace, University of Applied Sciences of Western Switzerland, Eindhoven University of Technology, The Netherlands. ETH Zürich, and the Santa Fe Institute theorists (search RD) introduce another procedure by which to parse these real-world multi-intricate social webworks.

Many methods can now infer the pairwise network structure of an interconnected system from its collective dynamics. Here, we contribute to higher level realms by way of an inference algorithm which reconstructs hypergraphs and simplicial complexes from time-series data. We first benchmark on synthetic data from Kuramoto and Lorenz phases and then use it to describe how non-pairwise interactions shape macroscopic brain dynamics. (Excerpt)

Montanari,, Arthur, et al. Optimal flock formation induced by agent heterogeneity. arXiv:2504.12297.. Northwestern University and Xi’an Jiaotong University, China theorists including Adilson Motter describe a further finesse of active creature assemblies whereby the members have real-world, individual, heterogenous modes, which then is found to provide a more accurate research model. In closing, a universal applicability of their method is noted. See also Deeper but smaller: Higher-order interactions increase linear stability but shrink basins by Yuanhao Zhang et al in Science Advances. (10/40, 2024) for more current network insights.

The study of flocking in biological systems has identified conditions for self-organized collective behavior while assuming that the agents are nearly identical. Here, we investigate how inter-individual differences affect stability and convergence in flocking dynamics. We show that flocks of agents with heterogeneous parameters outperform their homogeneous counterparts. Our results challenge existing paradigms in multi-agent control and establish system disorder as an adaptive, distributed mechanism to promote collective behavior in flocking dynamics. (Excerpt)

Given the generality of our results, we suggest that the approach will find applications in the optimization of a broad range of other consensus problems in networks, including mobile sensor networks, distributed state estimation, opinion dynamics in social networks and otherInternet-of-Things devices. (10)

Agüera y Arcas, Blaise, et al. Computational Life: How Well-formed, Self-replicating Programs Emerge from Simple Interaction. arXiv:2406.19108. Google Paradigms of Intelligence Team and University of Chicago conduct exercises that show how certain program languages as they run appear to have a tendency to spontaneously biocomplexify, evolve and emerge lifeward. These digital propensities are then seen to accompany precursor autocatalytic reactions.

The fields of Origin of Life and Artificial Life both question what life is and how it emerges from a distinct set of "pre-life" dynamics. One common feature is a marked shift in dynamics when self-replication appears. In this paper we propose some answers by studying computational substrates by way of programming languages and machine instruction sets. We show that when non self-replicating programs are placed in a conducive environment, that self-replicators tend to arise. We also show how increasingly complex dynamics then continue to emerge. (Excerpt)

Aerts, Diederik, et al. Identifying Quantum Mechanical Statistics in Italian Corpora.. International Journal of Theoretical Physics. 64/136, 2025. As the Free University of Brussels and University of Udine team (search DA) apply their insights to human realms, in this case they report an intrinsic, thematic presence in literary editions. Our natural philoSophia interest then makes note of a textual quality being attributed to nature’s deepest essence.

We present a theoretical and empirical investigation of the statistical behaviour of the words produced by human language. To this aim, we analyse the word distribution of various texts of Italian language selected from a specific literary corpus. We generalise a theory elaborated by ourselves to identify “quantum mechanical statistics.” These results confirm patterns in English language works whereby words together as a consequence of their meaning. (Excerpt)

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