cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
The Future of Energy Storage: The Ultimate Battery Technology for a Sustainable World
Creators: name: Bostick, Devin
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Renewable energy
subject: Cell (energy)
subject: Energy technology
subject: Theoretical physics
subject: Synthetic material
subject: Artificial intelligence

description: 1. Expanded CODES Framework (Empirical Studies + Theory)

🔹 CODES: The Chirality of Dynamic Emergent Systems (Main Paper)

2. Introduction & High-Level Overview

🔹 CODES: High-Level Introduction

3. Structured Resonance & Emergent Intelligence

🔹 Structured Resonance and the Nature of Intelligence

 

Abstract

The transition to a sustainable energy future hinges on the development of high-efficiency, long-duration, and scalable energy storage solutions. Current battery technologies—lithium-ion, solid-state, and flow batteries—each have limitations in terms of energy density, cost, material sustainability, and longevity. This paper explores the frontier of battery technologies, integrating quantum-level materials, bio-inspired energy storage, and structured resonance intelligence (CODES) principles to propose the ultimate energy storage system.

Key areas covered include:

• Quantum Dot and Solid-State Innovations – The application of quantum coherence and high-entropy alloys for energy density breakthroughs.

• Bioelectrochemical Storage – The potential of microbial batteries and enzymatic energy storage to enhance sustainability.

• Structural Energy Storage – The merging of energy storage with architecture, creating self-powered infrastructure.

• Chirality-Based Ion Flow Regulation – Applying structured resonance principles to optimize charge distribution and extend battery lifespan.

• Supercapacitors & Hybrid Solutions – Combining ultrafast charging with long-term stable storage.

By unifying cutting-edge advancements with first-principle materials design and emergent-system intelligence, this paper proposes a next-generation battery architecture—one capable of revolutionizing how energy is stored, transferred, and utilized in a post-carbon world.
Time asymmetric spacetimes near null and spatial infinity. II. Expansions of developments of initial data sets with non-smooth conformal metrics
Creators: name: Kroon, J. A. Valiente
Publisher: name: arXiv
Year: 2004
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: This article uses the conformal Einstein equations and the conformal representation of spatial infinity introduced by Friedrich to analyse the behaviour of the gravitational field near null and spatial infinity for the development of initial data which are, in principle, non-conformally flat and time asymmetric. This article is the continuation of the investigation started in Class. Quantum Grav. 21 (2004) 5457-5492, where only conformally flat initial data sets were considered. For the purposes of this investigation, the conformal metric of the initial hypersurface is assumed to have a very particular type of non-smoothness at infinity in order to allow for the presence of non-Schwarzschildean initial data sets in the class under study. The calculation of asymptotic expansions of the development of these initial data sets reveals --as in the conformally flat case-- the existence of a hierarchy of obstructions to the smoothness of null infinity which are expressible in terms of the initial data. This allows for the possibility of having spacetimes where future and past null infinity have different degrees of smoothness. A conjecture regarding the general structure of the hierarchy of obstructions is presented.
description: Second part of gr-qc/0408062, 23 pages
Fractional derivatives and the fundamental theorem of Fractional Calculus
Creators: name: Luchko, Yuri
Publisher: name: arXiv
Year: 2020
Subjects: subject: Classical Analysis and ODEs (math.CA)
subject: FOS: Mathematics
subject: 26A33, 26B30, 44A10, 45E10

description: In this paper, we address the one-parameter families of the fractional integrals and derivatives defined on a finite interval. First we remind the reader of the known fact that under some reasonable conditions, there exists precisely one unique family of the fractional integrals, namely, the well-known Riemann-Liouville fractional integrals. As to the fractional derivatives, their natural definition follows from the fundamental theorem of the Fractional Calculus, i.e., they are introduced as the left-inverse operators to the Riemann-Liouville fractional integrals. Until now, three families of such derivatives were suggested in the literature: the Riemann-Liouville fractional derivatives, the Caputo fractional derivatives, and the Hilfer fractional derivatives. We clarify the interconnections between these derivatives on different spaces of functions and provide some of their properties including the formulas for their projectors and the Laplace transforms. However, it turns out that there exist infinitely many other families of the fractional derivatives that are the left-inverse operators to the Riemann-Liouville fractional integrals. In this paper, we focus on an important class of these fractional derivatives and discuss some of their properties.
description: 23 pages
Oribatella nortoni Behan-Pelletier 2011
Creators: name: Behan-Pelletier, Valerie M.
name: Lindo, Zoë
Publisher: name: Zenodo
Year: 2019
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Sarcoptiformes
Oribatellidae
Oribatella
Oribatella nortoni

description: Oribatella nortoni Behan-Pelletier, 2011
 Geographic Location and Habitats: NB: Kouchibouguac NP, moss and litter at base of living and dead Red oak; moose dung in mixedwoods; mixed deciduous litter (Behan-Pelletier 2011).
 Distribution: Nearctic.
description: Published as part of Behan-Pelletier, Valerie M. & Lindo, Zoë, 2019, Checklist of oribatid mites (Acari: Oribatida) of Canada and Alaska, pp. 1-180 in Zootaxa 4666 (1) on page 115, DOI: 10.11646/zootaxa.4666.1.1, http://zenodo.org/record/4000595
Casimir effect in a wormhole spacetime
Creators: name: Khabibullin, Artem R.
name: Khusnutdinov, Nail R.
name: Sushkov, Sergey V.
Publisher: name: arXiv
Year: 2005
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: We consider the Casimir effect for quantized massive scalar field with non-conformal coupling $ξ$ in a spacetime of wormhole whose throat is rounded by a spherical shell. In the framework of zeta-regularization approach we calculate a zero point energy of scalar field. We found that depending on values of coupling $ξ$, a mass of field $m$, and/or the throat's radius $a$ the Casimir force may be both attractive and repulsive, and even equals to zero.
description: 2 figures, 10 pages, added 2 references
Psychedelics and Structured Resonance: A Model for Consciousness Expansion and Neural Phase-Locking
Creators: name: Bostick, Devin
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Fungi
subject: Consciousness
subject: Theoretical physics
subject: Mental Health

description: 1. Expanded CODES Framework (Empirical Studies + Theory)

🔹 CODES: The Chirality of Dynamic Emergent Systems (Main Paper)

2. Introduction & High-Level Overview

🔹 CODES: High-Level Introduction

3. Structured Resonance & Emergent Intelligence

🔹 Structured Resonance and the Nature of Intelligence

 

Abstract

Psychedelics have long been recognized for their ability to alter perception, cognition, and the sense of self, yet their underlying mechanism remains an open question in neuroscience. This paper proposes that psychedelics act as resonance amplifiers, temporarily disrupting hierarchical cognitive structures and inducing a phase-locked state of dynamic emergent coherence. By modulating neural oscillatory patterns, psychedelics shift the brain from a localized, efficiency-driven network into a globally integrated resonance state, mirroring principles found in structured intelligence, prime-based ordering, and dynamic phase transitions.

The Chirality of Dynamic Emergent Systems (CODES) framework is applied here to explain how psychedelics increase the brain’s ability to phase-lock into adaptive, high-entropy resonance, effectively breaking rigid cognitive structures and allowing for increased insight, emotional processing, and interconnected thought. The phase-shifts induced by psychedelics show striking parallels to the oscillatory structures observed in fractal mycelial networks, quantum coherence models, and prime number distributions in wavelet analysis.

This paper explores:

• The Role of Psychedelics in Neural Resonance – How compounds like psilocybin, DMT, and LSD induce structured phase transitions in cortical activity.

• Resonance-Based Perception and Consciousness Expansion – How psychedelics amplify the connectivity of sensory and conceptual processing.

• Fractality, Mycelial Networks, and Neural Plasticity – How the psychedelic experience reflects large-scale biological patterning, from fungal intelligence to galactic clustering.

• A New Paradigm for Therapeutic Applications – How a resonance-based approach to psychedelics could redefine treatment for depression, PTSD, and trauma by restoring coherent phase-locking between cognitive and emotional centers.

By integrating principles from quantum mechanics, information theory, and biological resonance, this paper proposes that psychedelics provide a direct lens into structured intelligence, serving as a tool for unlocking deeper harmonics of cognition and reality perception.
Unveiling the correlations of tidal deformability with the nuclear symmetry energy parameters
Creators: name: Malik, Tuhin
name: Agrawal, B. K.
name: Providência, Constança
name: De, J. N.
Publisher: name: arXiv
Year: 2020
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Astrophysical Phenomena (astro-ph.HE)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: FOS: Physical sciences

description: The chi-squared based covariance approach allows one to estimate the correlations among desired observables related to nuclear matter directly from a set of fit data without taking recourse to the distributions of the nuclear matter parameters (NMPs). Such an approach is applied to study the correlations of tidal deformability of neutron star with the slope and the curvature parameters of nuclear symmetry energy governed by an extensive set of fit data on the finite nuclei together with the maximum mass of the neutron star. The knowledge of the distributions of NMPs consistent with the fit data is implicitly inbuilt in the Hessian matrix which is central to this covariance approach. Comparing our results with those obtained with the explicit use of the distributions of NMPs, we show that the appropriate correlations among NMPs as induced by the fit data are instrumental in strengthening the correlations of the tidal deformability with the symmetry energy parameters, without it, the said correlations tend to disappear. The interplay between isoscalar and isovector NMPs is also emphasized.
description: 7 pages, 3 figure
THE IMPLEMENTATION OF SINGLE PAYMENT SCHEMES IN EUROPEAN UNION COUNTRIES
Creators: name: Kroll, Jean Cristophe
name: Kroll, Jean Cristophe
Publisher: name: Unknown
Year: 2008
Subjects: subject: Agricultural and Food Policy
subject: Political Economy
subject: CAP
subject: Fischler Reform
subject: Implementation. SFP.

description: The reform of the CAP in 1999, with extensive revisions in 2003 (Council regulation 1782/2003), was constructed around three central ideas: decoupling, cross-compliance of payments, and modulation. Decoupling, which is specifically analysed in this article, is intended to eliminate all aid linked in one way or another to production, in favour of aid which is completely independent of the production activity. It is encapsulated in the new 2003 regulation by the introduction of the right to a single farm payment (SFP) proportional to farm area, independent of production activities. These new arrangements have been accompanied by much variation in the application of the reform, and the member states have taken great advantage of the extensive room for manoeuvre inherent in the new regulation. This is revealed in the extreme diversity of choices made, both in the degree of decoupling (total or partial) and in the methods of calculating the SFPs (historical or regionalised references). In order to better understand the reasons for and practical details of the differing national choices, this article presents a synthesis of the results of a comparative study of how the SFPs are managed in four large EU 15 countries (Germany, the UK, Spain and Italy), chosen because of the diversity in their approaches to decoupling and the calculation and trade of the SFPs. Objective economic data specific to each country and national political context are combined to e on the evolution of production systems and xplain the observations, taking into account both the implications of how agricultural holdings, production systems and land are categorised, and the expected effects structures.
REFORMING THE CAP: AN AGENDA FOR REGIONAL GROWTH?
Creators: name: Esposti, Roberto
name: Esposti, Roberto
Publisher: name: Unknown
Year: 2008
Subjects: subject: Agricultural and Food Policy
subject: Community/Rural/Urban Development
subject: Common Agricultural Policy
subject: Regional Growth and Convergence
subject: Lisbon Strategy

description: This paper aims at analysing the recent CAP reform from the perspective of the current general and strategic objectives of the EU as defined by the Lisbon Strategy. A critical appraisal of the CAP impact in terms of regional growth is carried out. Firstly from a strictly conceptual and methodological point of view, then by analysing more in detail how CAP reform (of both Pillar I and II) might have actually affected the role of the CAP in promoting (or hindering) regional growth and, therefore, convergence. Empirical evidence provided by the different available methodologies has progressively emerged in the very last years. Though a conclusive answer on the impact of the reform can not be drawn, it still emerges that the role of CAP design and implementation in affecting regional growth and convergence is usually underestimated and often neglected in the discussions about the future of the CAP. At the same time, however, this role is not univocal and strongly case-specific, as it substantially differs across regions according to their socio-economic structure and how reforms are jointly implemented.
Haplozetes Willmann 1935
Creators: name: Behan-Pelletier, Valerie M.
name: Lindo, Zoë
Publisher: name: Zenodo
Year: 2019
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Sarcoptiformes
Haplozetidae
Haplozetes

description: Haplozetes sp.
 Geographic Location and Habitats: ON: Sudbury, White birch and Trembling aspen (St. John et al. 2002); QC: Abitibi, boreal mixedwood forest (Déchêne & Buddle 2009, 2010); NL: between Corner Brook and Little Grand Lake, Balsam fir forests (Dwyer et al. 1997, 1998).
 Genus Lagenobates Weigmann and Miko, 2002
description: Published as part of Behan-Pelletier, Valerie M. & Lindo, Zoë, 2019, Checklist of oribatid mites (Acari: Oribatida) of Canada and Alaska, pp. 1-180 in Zootaxa 4666 (1) on pages 117-118, DOI: 10.11646/zootaxa.4666.1.1, http://zenodo.org/record/4000595
Financing Growth of Cellulosic Ethanol
Creators: name: Gustafson, Cole R.
name: Gustafson, Cole R.
Publisher: name: Unknown
Year: 2008
Subjects: subject: Agricultural Finance
subject: Resource /Energy Economics and Policy
subject: biofuel cellulosic ethanol finance investment risk

description: The U.S. biofuel industry is striving to produce ethanol from cellulosic feedstock sources in an effort to augment its existing corn grain-based ethanol production infrastructure. Technology to commercially produce cellulosic ethanol is rapidly advancing due in large part to the availability of substancial federal research and development funding. At the moment, several firms have pilot scale cellulosic ethanol production facilities under construction and testing. The transition from pilot scale to full commercialization of cellulosic ethanol will be difficult, due in large part financial constraints being imposed both internally and externally on the biofuels industry. This paper provides an overview of the biofuel industry’s current financial setting and describes future challenges it faces in attempting to expand. These challenges are rooted in lack of industry capital, limited availability of performance benchmarks, concerns regarding future prospects of the industry, and general uncertainty in U.S. financial markets. If the U.S. biofuels industry is unable to capitalize and develop this next phase of growth, foreign competitors, primarily Brazil and Mexico, appear well positioned to fill U.S. consumer’s demand for advanced biofuels.
Off-Diagonal Long-Range Order in Solid 4He
Creators: name: Clark, Bryan K.
name: Ceperley, D. M.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Other Condensed Matter (cond-mat.other)
subject: FOS: Physical sciences

description: Measurements of the moment of inertia by Kim and Chan have found that solid 4He acts like a supersolid at low temperatures. To understand the order in solid 4He, we have used Path Integral Monte Carlo to calculate the off-diagonal long range order (ODLRO) (equivalent to Bose-Einstein condensation, BEC). We do not find ODLRO in a perfect hcp crystal at the melting density. We discuss these results in relation to proposed quantum solid trial functions. We conclude that the solid 4He wave function has correlations which suppress both vacancies and BEC.
Additional file 1 of Measuring the completeness of death registration in 2844 Chinese counties in 2018
Creators: name: Xinying Zeng
name: Adair, Tim
name: Lijun Wang
name: Yin, Peng
name: Jinlei Qi
name: Yunning Liu
name: Jiangmei Liu
name: Lopez, Alan D.
name: Maigeng Zhou
Publisher: name: figshare
Year: 2020
Subjects: subject: Medicine
subject: Cell Biology
subject: Biotechnology
subject: 59999 Environmental Sciences not elsewhere classified
subject: FOS: Earth and related environmental sciences
subject: 69999 Biological Sciences not elsewhere classified
subject: FOS: Biological sciences
subject: Science Policy
subject: Computational Biology

description: Additional file 1. Online material providing details of empirical completeness method, estimation of the county-level under-5 mortality rate for 2018, model for estimating association between county-level death registration completeness and socio-economic determinants, inter-provincial variation in completeness of death registration and supplemental tables (Table S1-S6).
Earth as a Self-Regulating System: The Structured Resonance of Life, Energy, and Matter
Creators: name: Bostick, Devin
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Ecology
subject: FOS: Biological sciences
subject: Earth, Planet
subject: Earth Sciences
subject: Prime numbers
subject: Theoretical physics
subject: Chemistry, Organic
subject: Wave energy

description: 1. Expanded CODES Framework (Empirical Studies + Theory)

🔹 CODES: The Chirality of Dynamic Emergent Systems (Main Paper)

2. Introduction & High-Level Overview

🔹 CODES: High-Level Introduction

3. Structured Resonance & Emergent Intelligence

🔹 Structured Resonance and the Nature of Intelligence

 

Abstract

Earth operates as a self-organizing, adaptive system where energy, matter, and life form interwoven feedback loops. This paper explores the planet’s dynamic equilibrium, integrating geology, biology, atmospheric science, and cosmology through the Structured Resonance Intelligence (SRI) framework. From the prime-like spacing of planetary layers to fungal networks mirroring cosmic web structures, Earth’s processes reveal an intelligence embedded in nature’s order. We examine wavelet resonance in geophysical cycles, bioelectrical synchronization, and energy condensation as fundamental mechanisms maintaining planetary stability.

 

Love the Great Courses Course: How Earth Works by Michael Wysession. -Devin
Kinetic Modeling of Transient Electroluminescence reveals TTA as Efficiency-Limiting Process in Exciplex-Based TADF OLEDs
Creators: name: Grüne, Jeannine
name: Bunzmann, Nikolai
name: Meinecke, Moritz
name: Dyakonov, Vladimir
name: Sperlich, Andreas
Publisher: name: arXiv
Year: 2020
Subjects: subject: Applied Physics (physics.app-ph)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Organic light emitting diodes (OLEDs) based on thermally activated delayed fluorescence (TADF) show increased efficiencies due to efficient upconversion of non-emissive triplet states to emissive singlets states via reverse intersystem crossing (RISC). To assess the influence of the characteristic efficiency-enhancing RISC process as well as possible efficiency-limiting effects in operational OLEDs, we performed temperature-dependent measurements of transient electroluminescence (trEL). With kinetic modeling, we quantify and separate the impact of different temperature-dependent depopulation processes and contributions to EL in the established donor:acceptor model system m-MTDATA:3TPYMB. The underlying rate equations adapted for EL measurements on TADF systems include radiative and non-radiative first- and second-order effects. In this way, we are able to evaluate the non-radiative recombination and annihilation processes with respect to their efficiency-limiting effects on these OLEDs. On the one hand, we evaluate the depopulation of intermolecular exciplex triplet states via non-radiative direct triplet decay, RISC and triplet-triplet annihilation (TTA). On the other hand, we determine the contribution to EL from the formation of singlet exciplex states via polarons, RISC and TTA. Our results show that TTA accounts for a significant part to triplet depopulation and contributes to EL while limiting the overall device quantum efficiency.
description: 21 pages, 12 figures
Human Capital, Complex Technologies, Firm Size and Wages: A Test of the O-Ring Production Hypotheses
Creators: name: Yu, Li
name: Orazem, Peter F.
name: Yu, Li
name: Orazem, Peter F.
Publisher: name: Unknown
Year: 2008
Subjects: Labor and Human Capital
Production Economics
Farm Management

description: Kremer’s O-Ring production theory (QJE, 1993) describes a process in which a single mistake in any one of several tasks in firm’s production process can lead to catastrophic failure of the product’s value. This paper tests the predictions of the O-Ring theory in the context of a single market for a relatively homogeneous product: hog production. Consistent with the theory, the most skilled workers concentrate in the largest and most technologically advanced farms and are paid more. As with observed skills, workers with the greatest endowments of unobserved skills also sort themselves into the largest and most technology intensive farms.
Fracture toughness of hybrid fiber reinforced self-compacting concrete
Creators: name: Majdzadeh, Fariborz
Publisher: name: University of British Columbia
Year: 2009

description: There has been much enthusiasm for hybrid fiber reinforced concrete systems, in which two or more types of fibers are combined in the same concrete matrix. On the other hand, the use of self-compacting concrete (SCC), due to its unique fresh properties and social and environmental benefits, is gaining popularity worldwide. Hence, knowledge on the use of hybrid fibers in SCC deserves attention. The scope of this study encompasses two major research focuses. The first involves the production and evaluation of the fresh properties of high strength fiber reinforced self-compacting concrete and a discussion of its key attributes in the fresh state. The second involves the assessment of the mechanical properties and potential synergistic effects of various fibers in SCC. In this study, 23 mixes containing mono, double, and triple blended fibers were made. The hybrid systems were different combinations of micro fibers (carbon, polypropylene, and steel) and macro fibers (steel and polypropylene). For each mix, six 100x100x350 mm beam specimens for flexural toughness tests and six 100x200 mm cylindrical specimens for compression tests were made. Fresh properties of concrete were measured by a slump flow test. On the flowability aspects, it was found that carbon and micro-polypropylene fibers, even at low volume fractions, caused significant reduction in the flowability of SCC. However, introduction of macro fibers of steel and polypropylene in SCC did not reduce the flowability of concrete as much as micro-fibers did. The maximum amount of microfibers in the hybrid system to retain the self-compacting properties of the fresh mix was 0.25% for carbon fibers and 0.15% for micro-polypropylene fibers provided that they were used individually in the hybrid system. When hardened properties of hybrid fiber SCC where considered the study focused on flexural toughness improvements due to the presence of hybrid fibers in the SCC. Micropolypropylene fibers in combination with all types of steel fibers showed a synergistic effect, while carbon fibers were efficient only in one combination with the steel fiber. According to the results of this study, in a hybrid fiber composite, micro fibers improve the ductility of the matrix. This enhanced the performance of the macro fibers in the pullout process, and the hybrid fiber SCC showed higher flexural toughness as compared to SCC with only one fiber.
Calculation of the Alpha--Particle Ground State within the Hyperspherical Harmonic Basis
Creators: name: Viviani, M.
name: Kievsky, A.
name: Rosati, S.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The problem of calculating the four--nucleon bound state properties for the case of realistic two- and three-body nuclear potentials is studied using the hyperspherical harmonic (HH) approach. A careful analysis of the convergence of different classes of HH functions has been performed. A restricted basis is chosen to allow for accurate estimates of the binding energy and other properties of the 4He ground state. Results for various modern two-nucleon and two- plus three-nucleon interactions are presented. The 4He asymptotic normalization constants for separation in 2+2 and 1+3 clusters are also computed.
description: 29 pages, 4 figures, 11 tables, revtex4
Visual Pattern Recognition with on On-chip Learning: towards a Fully Neuromorphic Approach
Creators: name: Baumgartner, Sandro
name: Renner, Alpha
name: Kreiser, Raphaela
name: Liang, Dongchen
name: Indiveri, Giacomo
name: Sandamirskaya, Yulia
Publisher: name: arXiv
Year: 2020
Subjects: subject: Neural and Evolutionary Computing (cs.NE)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: Image and Video Processing (eess.IV)
subject: FOS: Computer and information sciences
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We present a spiking neural network (SNN) for visual pattern recognition with on-chip learning on neuromorphichardware. We show how this network can learn simple visual patterns composed of horizontal and vertical bars sensed by a Dynamic Vision Sensor, using a local spike-based plasticity rule. During recognition, the network classifies the pattern's identity while at the same time estimating its location and scale. We build on previous work that used learning with neuromorphic hardware in the loop and demonstrate that the proposed network can properly operate with on-chip learning, demonstrating a complete neuromorphic pattern learning and recognition setup. Our results show that the network is robust against noise on the input (no accuracy drop when adding 130% noise) and against up to 20% noise in the neuron parameters.
description: 5 pages. Accepted to ISCAS 2020 conference
On the accretion of phantom energy onto wormholes
Creators: name: Gonzalez-Diaz, Pedro F.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: By using a properly generalized accretion formalism it is argued that the accretion of phantom energy onto a wormhole does not make the size of the wormhole throat to comovingly scale with the scale factor of the universe, but instead induces an increase of that size so big that the wormhole can engulf the universe itself before it reaches the big rip singularity, at least relative to an asymptotic observer.
description: 4 pages, LaTex, to appear in Phys. Lett. B
The Implications of Information Asymmetry for the Achievement of Australia's National Water Objectives
Creators: name: Chambers, Adam
name: Trengove, Graham
name: Chambers, Adam
name: Trengove, Graham
Publisher: name: Unknown
Year: 2009
Subjects: subject: Resource /Energy Economics and Policy
subject: Crop Deaths
subject: Irrigator Behaviour
subject: Economic Assessment
subject: Water Policy

description: On 29th April 2008, Senator Penny Wong outlined details of Water for the Future; the Rudd Government’s $12.9 billion plan to secure the long term water supply of all Australians. Funding under Water for the Future will be used to support significant water reform across the country. In order to formulate strategies to achieve the objectives of the Plan, decision makers will require information related to the relative profitability of different irrigation activities, such as production costs and returns, as well as the potential irrigator response to and impacts of reductions in water availability or changes to water policy more generally. The aim of this paper is to highlight the potential for unexpected outcomes to arise from policies which are formulated in a world of information asymmetry. The heterogeneity of irrigation sectors and indeed individual irrigators within these sectors mean that actual impacts or responses will vary significantly between sectors/individuals. Hence while governments may try to predict the potential consequences/impacts of changes to water policy, the resulting outcomes may be far from what was intended.
The theory of the quantum kernel-based binary classifier
Creators: name: Park, Daniel K.
name: Blank, Carsten
name: Petruccione, Francesco
Publisher: name: arXiv
Year: 2020
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: Binary classification is a fundamental problem in machine learning. Recent development of quantum similarity-based binary classifiers and kernel method that exploit quantum interference and feature quantum Hilbert space opened up tremendous opportunities for quantum-enhanced machine learning. To lay the fundamental ground for its further advancement, this work extends the general theory of quantum kernel-based classifiers. Existing quantum kernel-based classifiers are compared and the connection among them is analyzed. Focusing on the squared overlap between quantum states as a similarity measure, the essential and minimal ingredients for the quantum binary classification are examined. The classifier is also extended concerning various aspects, such as data type, measurement, and ensemble learning. The validity of the Hilbert-Schmidt inner product, which becomes the squared overlap for pure states, as a positive definite and symmetric kernel is explicitly shown, thereby connecting the quantum binary classifier and kernel methods.
description: 16 pages, 3 figures
Matching parton showers to NLO computations
Creators: name: Nagy, Zoltan
name: Soper, Davison E.
Publisher: name: arXiv
Year: 2005
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We give a prescription for attaching parton showers to next-to-leading order (NLO) partonic jet cross sections in electron-positron annihilation. Our method effectively extends to NLO the scheme of Catani, Krauss, Kuhn, and Webber for matching between m hard jets and (m+1) hard jets. The matching between parton splitting as part of a shower and parton splitting as part of NLO matrix elements is based on the Catani-Seymour dipole subtraction method that is commonly used for removing the singularities from the NLO matrix elements.}
description: 45 pages, new introduction, more detailed discussion of the Sudakov reweighting
Peloribates alaskensis Hammer 1955
Creators: name: Behan-Pelletier, Valerie M.
name: Lindo, Zoë
Publisher: name: Zenodo
Year: 2019
Subjects: Biodiversity
Taxonomy
Animalia
Arthropoda
Arachnida
Sarcoptiformes
Haplozetidae
Peloribates
Peloribates alaskensis

description: Peloribates alaskensis Hammer, 1955
 Geographic Location and Habitats: AK: Anchorage (Hammer 1955a, b).
 Distribution: Alaska.
description: Published as part of Behan-Pelletier, Valerie M. & Lindo, Zoë, 2019, Checklist of oribatid mites (Acari: Oribatida) of Canada and Alaska, pp. 1-180 in Zootaxa 4666 (1) on page 118, DOI: 10.11646/zootaxa.4666.1.1, http://zenodo.org/record/4000595
Proposal for a spintronic femto-Tesla magnetic field sensor
Creators: name: Bandyopadhyay, S.
name: Cahay, M.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: We propose a spintronic magnetic field sensor, fashioned out of quantum wires, which may be capable of detecting very weak magnetic fields with a sensitivity of ~ 1 femto-Tesla per root Hertz at a temperature of 4.2 K and ~ 80 femto-Tesla per root Hertz at room temperature. Such sensors have applications in magnetometry, quantum computing, solid state nuclear magnetic resonance, magneto-encephalography, mine detection, ground incursion detection and anti-submarine warfare.
description: Will appear in Physica E
ERIGrid/ERIGrid 2.0 - Smart Grid and Smart Energy Infrastructures
Creators: name: Strasser, Thomas I.
Publisher: name: Zenodo
Year: 2021
Subjects: Smart Energy Systems
Smart Grids
Research Infrastructures
Achievements
Experiences
Lessons Learned
Presentation
European Union (EU)
H2020
Project
ERIGrid 2.0
GA 870620

description: The integration of renewable energy resources - as key enablers for the reduction of greenhouse gas emissions into the power systems - has increased over the past years and led to higher complexity of electric power systems. The increased availability of advanced automation and communication technology, along with novel intelligent solutions for system operation has transformed the traditional power system into a cyber-physical energy system - a smart grid. In this context research and technology development are important to turn the existing energy infrastructure into a sustainable one. A major role in all these developments are research infrastructures in the domain of power and energy systems. This presentation provides an overview of achievements, experiences and lessons learned from European smart grid and distributed energy resources research infrastructure projects gained over more than a decade so far.
Composite boson dominance in many-fermion systems
Creators: name: Palumbo, Fabrizio
Publisher: name: arXiv
Year: 2005
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: I recently proposed a method of bosonization based on the use of coherent states of fermion composites, whose validity was restricted to smooth structure functions. In the present paper I remove this limitation and derive results which hold for arbitrary interactions and structure functions. The method respects all symmetries and in particular fermion number conservation. It reproduces exactly the results of the pairing model of atomic nuclei and of the BCS model of superconductivity in the number conserving form of the quasi-chemical equilibrium theory.
description: 5 pages, no figure
USE OF CATCHMENT SPECIFIC SOCIAL AND ECONOMIC INFORMATION IN MANAGING NATURAL RESOURCES
Creators: name: Ahmed, Mehnaz
name: Jacobs, Brent
name: Tracey, Jacqueline
name: Ahmed, Mehnaz
name: Jacobs, Brent
name: Tracey, Jacqueline
Publisher: name: Unknown
Year: 2009
Subjects: subject: Resource /Energy Economics and Policy
subject: economic
subject: social
subject: data availability
subject: natural resource management
subject: catchment management authorities
subject: decision making

description: Catchment specific economic and social information assists catchment management authorities in natural resource planning and decision making. It gives a context to the natural resource management (NRM) planning and decision making by providing an understanding of the economic and social characteristics in a region and tracks economic and social changes overtime. It also enables analysis of factors that influence a community’s competence in undertaking NRM activities. Catchment specific economic and social data is available from the Australian Bureau of Statistics but there are gaps in the availability of this data that may hinder NRM planning and decision making. The aim of this paper is two fold: firstly, it provides a snapshot of the economic and social information of selected catchments in NSW and secondly, it emphasises the need for further data availability that can facilitate NRM planning and decision making at a catchment level.
The Mycelial Network of Intelligence: A Structured Resonance Perspective on Mushrooms, Communication, and Cosmic Order
Creators: name: Bostick, Devin
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Fungi
subject: Fungi/chemistry
subject: Fungi/ultrastructure
subject: Physical cosmology
subject: Astrology
subject: Prime numbers
subject: Theoretical physics
subject: Nature
subject: Chemistry, Organic
subject: Consciousness

description: 1. Expanded CODES Framework (Empirical Studies + Theory)

🔹 CODES: The Chirality of Dynamic Emergent Systems (Main Paper)

2. Introduction & High-Level Overview

🔹 CODES: High-Level Introduction

3. Structured Resonance & Emergent Intelligence

🔹 Structured Resonance and the Nature of Intelligence

 

Abstract

Fungi, particularly mycelial networks, represent one of the most complex and resonant systems on Earth. They do not simply connect trees and transfer nutrients; they operate through structured resonance, phase-locked adaptation, and prime-like communication pathways. This paper explores the deep mathematical and physical principles underlying fungal intelligence, drawing connections to CODES (Chirality of Dynamic Emergent Systems), prime condensation, and the structured resonance intelligence (SRI) field.

Mushrooms do not just grow—they listen, adapt, and optimize in a way that reflects both nature’s deep structural intelligence and universal resonance principles. By examining wavelet-based fungal communication, energy distribution in mycelial lattices, and the fractal, prime-driven expansion of mycelium, we propose that fungi mirror cosmic intelligence at both the micro and macro scales.
ADAPTING MORE CLEVERLY TO CLIMATE CHANGE BY USING ‘REAL OPTIONS’ TO ADDRESS THE UNCERTAINTIES
Creators: name: Dobes, Leo
name: Dobes, Leo
Publisher: name: Unknown
Year: 2009
Subjects: Environmental Economics and Policy

description: Scientists consider that some climate change is already inevitable, even if anthropogenic greenhouse emissions are stabilised immediately. Adaptation measures are therefore needed, irrespective of any mitigation action. But policy discussion is focussed on deterministic responses, generally risk-based "worst case‟ scenarios. An example is the development of more stringent standards for buildings and for coastal development. Such "climate proofing‟ is misconceived in the face of the huge uncertainties involved. Economists need to promote more rational policy frameworks that draw on cost-benefit analysis, including the use of "real options‟ to minimise the cost to society of adapting to climate change.
Collective Feshbach scattering of a superfluid droplet from a mesoscopic two-component Bose-Einstein condensate
Creators: name: Grupp, M.
name: Nandi, G.
name: Walser, R.
name: Schleich, W. P.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: FOS: Physical sciences

description: We examine the collective scattering of a superfluid droplet impinging on a mesoscopic Bose-Einstein condensate (BEC) as a target. The BEC consists of an atomic gas with two internal electronic states, each of which is trapped by a finite-depth external potential. An off-resonant optical laser field provides a localized coupling between the BEC components in the trapping region. This mesoscopic scenario matches the microscopic setup for Feshbach scattering of two particles, when a bound state of one sub-manifold is embedded in the scattering continuum of the other sub-manifold. Within the mean-field picture, we obtain resonant scattering phase shifts from a linear response theory in agreement with an exact numerical solution of the real time scattering process and simple analytical approximations thereof. We find an energy-dependent transmission coefficient that is controllable via the optical field between 0 and 100%.
description: 4 Latex pages, including 4 figures
Turning Water into Carbon: Carbon sequestration vs. water flow in the Murray-Darling Basin
Creators: name: Schrobback, Peggy
name: Adamson, David
name: Quiggin, John C.
name: Schrobback, Peggy
name: Adamson, David
name: Quiggin, John C.
Publisher: name: Unknown
Year: 2009
Subjects: subject: Resource /Energy Economics and Policy
subject: Environmental Economics and Policy
subject: Murray-Darling Basin
subject: carbon sequestration
subject: forest plantation
subject: irrigated agriculture
subject: water flow
subject: trade-off

description: Large scale forest plantations in the Murray-Darling Basin may be embraced as a carbon sequestration mechanism under a Carbon Pollution Reduction Scheme. However, increased tree plantation will be associated with reduced inflows to river systems because of increased transpiration, interception and evaporation. Therefore, an unregulated change in land management is most likely to have a dramatic impact on the water availability. This will exacerbate the impacts of climate change projected in the Garnaut Review. This paper examines the implications of unrestricted changes in land use. These results should suggest the true costs to society from carbon sequestration by determining the tradeoffs between timber production and agricultural products.
NeuMiss networks: differentiable programming for supervised learning with missing values
Creators: name: Morvan, Marine Le
name: Josse, Julie
name: Moreau, Thomas
name: Scornet, Erwan
name: Varoquaux, Gaël
Publisher: name: arXiv
Year: 2020
Subjects: subject: Machine Learning (cs.LG)
subject: Artificial Intelligence (cs.AI)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: The presence of missing values makes supervised learning much more challenging. Indeed, previous work has shown that even when the response is a linear function of the complete data, the optimal predictor is a complex function of the observed entries and the missingness indicator. As a result, the computational or sample complexities of consistent approaches depend on the number of missing patterns, which can be exponential in the number of dimensions. In this work, we derive the analytical form of the optimal predictor under a linearity assumption and various missing data mechanisms including Missing at Random (MAR) and self-masking (Missing Not At Random). Based on a Neumann-series approximation of the optimal predictor, we propose a new principled architecture, named NeuMiss networks. Their originality and strength come from the use of a new type of non-linearity: the multiplication by the missingness indicator. We provide an upper bound on the Bayes risk of NeuMiss networks, and show that they have good predictive accuracy with both a number of parameters and a computational complexity independent of the number of missing data patterns. As a result they scale well to problems with many features, and remain statistically efficient for medium-sized samples. Moreover, we show that, contrary to procedures using EM or imputation, they are robust to the missing data mechanism, including difficult MNAR settings such as self-masking.
Prime Condensation and the Structured Resonance Field: A Unified View of Cosmic and Mathematical Order
Creators: name: Bostick, Devin
Publisher: name: Zenodo
Year: 2025
Subjects: subject: Astronomy
subject: Solar astronomy
subject: Gravitational waves
subject: Prime numbers
subject: Philosophy
subject: FOS: Philosophy, ethics and religion
subject: Theoretical physics
subject: Artificial intelligence

description: 1. Expanded CODES Framework (Empirical Studies + Theory)

🔹 CODES: The Chirality of Dynamic Emergent Systems (Main Paper)

2. Introduction & High-Level Overview

🔹 CODES: High-Level Introduction

3. Structured Resonance & Emergent Intelligence

🔹 Structured Resonance and the Nature of Intelligence

 

Was looking at constellations, saw the pattern of primes in the constellations, and ran through continuous wavelet transformation. Check it, but seems like primes are matter condensation points. Relating to ourselves, one of my theories is that love is not just an emotion—it is a coherent wave, a phase-locked resonance (shorter prime peak, prime being most efficient condensation points?) that brings order from chaos, aligning disparate systems into harmonic synchronization. Wisdom differs from love in that it does not always seek harmony—it understands tension and oscillates between order and chaos to extract meaning (longer prime peak, prime being most efficient condensation points?). Love is the force that binds, wisdom is the force that refines, as I see it. I wonder about the primes of the stars in relationship to the primes of ourselves, the story they've told, tell, and will forever tell. There is something undeniably emotional and biological here, in terms of connection. Fun thought study! 

-Devin

Abstract

Prime numbers and cosmic structures exhibit profound parallels, suggesting a deeper underlying order. Just as prime numbers emerge in structured yet seemingly chaotic distributions, stars and galaxies condense at specific locations within spacetime, following principles of resonance and equilibrium. This paper explores the mathematical and physical alignment between prime number distributions, cosmic condensation, and wave-based structured resonance fields. We propose that the universe itself operates as a structured resonance field, where matter and energy transition through oscillatory condensation cycles, mirroring the structured emergence of prime numbers in the mathematical domain.
Alternative Perspective on Quantum Tunneling and Instantons
Creators: name: Paradis, F.
name: Kroger, H.
name: Melkonyan, G.
name: Moriarty, K. J. M.
Publisher: name: arXiv
Year: 2004
Subjects: subject: Quantum Physics (quant-ph)
subject: FOS: Physical sciences

description: We present a new way to compute and interpret quantum tunneling in a 1-D double-well potential. For large transition time we show that the quantum action functional gives an analytical expression for tunneling amplitudes. This has been confirmed by numerical simulations giving relative errors in the order of 1e-5. In contrast to the classical potential, the quantum potential has a triple-well if the classical wells are deep enough. Its minima are located at the position of extrema of the ground state wave function. The striking feature is that a single trajectory with a double instanton reproduces the tunneling amplitude. This is in contrast to the standard instanton approach, where infinitely many instantons and anti-instatons have to be taken into account. The quantum action functional is valid in the deep quantum regime in contrast to the semi-classical regime where the standard instanton approach holds. We compare both approaches via numerical simulations. While the standard instanton picture describes only the transition between potential minima of equal depth, the quantum action may give rise to instantons also for asymmetric potential minima. Such case is illustrated by an example.
description: 23 pages, 9 figures