cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
A novel wavelet-based filtering strategy to remove powerline interference from electrocardiograms with atrial fibrillation
Creators: name: Garcia, Manuel
name: Martinez-Iniesta, Miguel
name: Rodenas, Juan
name: Rieta, Jose J
name: Alcaraz, Raul
Publisher: name: arXiv
Year: 2024
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: "Objective: The electrocardiogram (ECG) is currently the most widely used recording to diagnose cardiac disorders, including the most common supraventricular arrhythmia, such as atrial fibrillation (AF). However, different types of electrical disturbances, in which power-line interference (PLI) is a major problem, can mask and distort the original ECG morphology. This is a significant issue in the context of AF, because accurate characterization of fibrillatory waves (f-waves) is unavoidably required to improve current knowledge about its mechanisms. This work introduces a new algorithm able to reduce high levels of PLI and preserve, simultaneously, the original ECG morphology. Approach: The method is based on stationary wavelet transform shrinking and makes use of a new thresholding function designed to work successfully in a wide variety of scenarios. In fact, it has been validated in a general context with 48 ECG recordings obtained from pathological and non-pathological conditions, as well as in the particular context of AF, where 380 synthesized and 20 long-term real ECG recordings were analyzed. Main results: In both situations, the algorithm has reported a notably better performance than common methods designed for the same purpose. Moreover, its effectiveness has proven to be optimal for dealing with ECG recordings affected by AF, since f-waves remained almost intact after removing very high levels of noise. Significance: The proposed algorithm may facilitate a reliable characterization of the f-waves, preventing them from not being masked by the PLI nor distorted by an unsuitable filtering applied to ECG recordings with AF."
Early Universe Test of Nonextensive Statistics
Creators: name: Torres, Diego F.
name: Vucetich, Héctor
name: Plastino, A.
Publisher: name: arXiv
Year: 1997
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Within an early Universe scenario, nonextensive thermostatistics (NET) is investigated on the basis of data concerning primordial Helium abundance. We obtain first order corrections to the energy densities and weak interactions rates, and use them to compute the deviation in the primordial Helium abundance. After compare with observational results, a severe bound is stablished.
description: 9 pages, latex, no figures
SUSY SU(6) GIFT for doublet-triplet splitting and fermion masses
Creators: name: Berezhiani, Zurab
Publisher: name: arXiv
Year: 1995
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: The supersymmetric $SU(6)$ model equipped by the flavour-blind discrete gauge symmetry $Z_3$ is considered. It provides simultaneous solution to the doublet-triplet splitting problem, $μ$-problem and leads to natural understanding of fermion flavour. The Higgs doublets arise as Goldstone modes of the spontaneously broken {\em accidental} global symmetry $SU(6)\times U(6)$ of the Higgs superpotential. Their couplings to fermions have peculiarities leading to the consistent picture of the quark and lepton masses and mixing, without invoking the horizontal symmetry or zero texture concepts. In particular, the only particle that has direct $O(1)$ Yukawa coupling with the Higgs doublet is top quark. Other fermion masses arise from the higher order operators, with natural mass hierarchy described in terms of small ratios $\eps_Σ=V_Σ/V_H$ and $\eps_H=V_H/M$, where $V_H$ and $V_Σ$ correspondingly are the $SU(6)$ and $ SU(5)$ symmetry breaking scales, and $M$ is a large (Planck or string) scale. The model automatically implies $b-τ$ Yukawa unification. Specific mass formulas are also obtained, relating the down quark and charged lepton masses. Neutrinos get small ($\sim 10^{-5}\,$eV) masses which can be relevant for solving the solar neutrino problem via long wavelength vacuum oscillation.
description: 15 pages, LATEX, 4 figures are included
Observational diagnostics of elongated planet-induced vortices with realistic planet formation timescales
Creators: name: Hammer, Michael
name: Pinilla, Paola
name: Kratter, Kaitlin M.
name: Lin, Min-Kai
Publisher: name: arXiv
Year: 2018
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: Gap-opening planets can generate dust-trapping vortices that may explain some of the latest discoveries of high-contrast crescent-shaped dust asymmetries in transition discs. While planet-induced vortices were previously thought to have concentrated shapes, recent computational work has shown that these features naturally become much more elongated in the gas when simulations account for the relatively long timescale over which planets accrete their mass. In this work, we conduct two-fluid hydrodynamical simulations of vortices induced by slowly-growing Jupiter-mass planets in discs with very low viscosity ($α= 3 \times 10^{-5}$). We simulate the dust dynamics for four particle sizes spanning 0.3 mm to 1 cm in order to produce synthetic ALMA images. In our simulations, we find that an elongated vortex still traps dust, but not directly at its center. With a flatter pressure bump and disruptions from the planet's overlapping spiral density waves, the dust instead circulates around the vortex. This motion (1) typically carries the peak off-center, (2) spreads the dust out over a wider azimuthal extent $\geq 180^{\circ}$, (3) skews the azimuthal profile towards the front of the vortex, and (4) can also create double peaks in newly-formed vortices. In particular, we expect that the most defining observational signature, a peak offset of more than $30^{\circ}$, should be detectable $>30\%$ of the time in observations with a beam diameter of at most the planet's separation from its star.
description: Accepted to MNRAS. 13 pages, 8 figures. Movies available at: https://lavinia.as.arizona.edu/~mhammer/vortex_signatures.html
Effect of changes in meson properties in a nuclear medium - $J/Ψ$ dissociation in nuclear matter, and meson-nucleus bound states
Creators: name: Tsushima, K.
name: Sibirtsev, A.
name: Saito, K.
name: Thomas, A. W.
name: Lu, D. H.
Publisher: name: arXiv
Year: 2000
Subjects: subject: Nuclear Theory (nucl-th)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: Nuclear Experiment (nucl-ex)
subject: FOS: Physical sciences

description: We discuss the effect of changes in meson properties in a nuclear medium on physical observables, notably, $J/Ψ$ dissociation on pion and $ρ$ meson comovers in relativistic heavy ion collisions, and the prediction of the $ω$-, $η$- and $η'$-nuclear bound states.
description: 6 pages, 5 Postscript figures, uses espcrc1.sty, 2 talks given by K. Tsushima at the International Conference on Quark Nuclear Physics, Adelaide, February 21-25, 2000, to be published in the Proceedings, Nucl. Phys. A
The Minimal Extension of the SM and the Neutrino Oscillation Data
Creators: name: Del Aguila, F.
name: Gluza, J.
name: Zralek, M.
Publisher: name: arXiv
Year: 1999
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study the simplest Standard Model estension with only one extra right-handed neutrino. In this case there are two massless $m_{1,2}$ and two massive $m_{3,4}$ neutrinos, and in principle both solar and atmospheric anomalies can be described in two different scenarios, $m_3 << m_4$ (scheme I) and $m_3 \simeq m_4$ (scheme II). However, neither bi-maximal mixing nor the dark matter problem are explained in this minimal extension. Only scheme II can accommodate simultaneously maximal mixing for atmospheric neutrinos and the small mixing angle MSW solution for the solar anomaly. This scenario can be tested in the BOREXINO experiment.
description: 9 pages, Presented by J. Gluza at the XXIII School of Theoretical Physics, Ustron'99, Poland, September 15-22, 1999
New Insight in Cervical Cancer Diagnosis Using Convolution Neural Network Architecture
Creators: name: Khozaimi, Ach.
name: Mahmudy, Wayan Firdaus
Publisher: name: arXiv
Year: 2024
Subjects: subject: Image and Video Processing (eess.IV)
subject: Artificial Intelligence (cs.AI)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Electrical engineering, electronic engineering, information engineering
subject: FOS: Computer and information sciences

description: The Pap smear is a screening method for early cervical cancer diagnosis. The selection of the right optimizer in the convolutional neural network (CNN) model is key to the success of the CNN in image classification, including the classification of cervical cancer Pap smear images. In this study, stochastic gradient descent (SGD), RMSprop, Adam, AdaGrad, AdaDelta, Adamax, and Nadam optimizers were used to classify cervical cancer Pap smear images from the SipakMed dataset. Resnet-18, Resnet-34, and VGG-16 are the CNN architectures used in this study, and each architecture uses a transfer-learning model. Based on the test results, we conclude that the transfer learning model performs better on all CNNs and optimization techniques and that in the transfer learning model, the optimization has little influence on the training of the model. Adamax, with accuracy values of 72.8% and 66.8%, had the best accuracy for the VGG-16 and Resnet-18 architectures, respectively. Resnet-34 had 54.0%. This is 0.034% lower than Nadam. Overall, Adamax is a suitable optimizer for CNN in cervical cancer classification on Resnet-18, Resnet-34, and VGG-16 architectures. This study provides new insights into the configuration of CNN models for Pap smear image analysis.
SemanticSLAM: Learning based Semantic Map Construction and Robust Camera Localization
Creators: name: Li, Mingyang
name: Ma, Yue
name: Qiu, Qinru
Publisher: name: arXiv
Year: 2024
Subjects: subject: Robotics (cs.RO)
subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: Current techniques in Visual Simultaneous Localization and Mapping (VSLAM) estimate camera displacement by comparing image features of consecutive scenes. These algorithms depend on scene continuity, hence requires frequent camera inputs. However, processing images frequently can lead to significant memory usage and computation overhead. In this study, we introduce SemanticSLAM, an end-to-end visual-inertial odometry system that utilizes semantic features extracted from an RGB-D sensor. This approach enables the creation of a semantic map of the environment and ensures reliable camera localization. SemanticSLAM is scene-agnostic, which means it doesn't require retraining for different environments. It operates effectively in indoor settings, even with infrequent camera input, without prior knowledge. The strength of SemanticSLAM lies in its ability to gradually refine the semantic map and improve pose estimation. This is achieved by a convolutional long-short-term-memory (ConvLSTM) network, trained to correct errors during map construction. Compared to existing VSLAM algorithms, SemanticSLAM improves pose estimation by 17%. The resulting semantic map provides interpretable information about the environment and can be easily applied to various downstream tasks, such as path planning, obstacle avoidance, and robot navigation. The code will be publicly available at https://github.com/Leomingyangli/SemanticSLAM
description: 2023 IEEE Symposium Series on Computational Intelligence (SSCI) 6 pages
Scaling of the magnetic permeability at the Berezinskii-Kosterlitz-Thouless transition from Coulomb gas simulations
Creators: name: Díaz-Méndez, Rogelio
name: Lidmar, Jack
name: Wallin, Mats
Publisher: name: arXiv
Year: 2018
Subjects: subject: Statistical Mechanics (cond-mat.stat-mech)
subject: FOS: Physical sciences

description: A new approach to the Berezinskii-Kosterlitz-Thouless transition in the two-dimensional Coulomb gas model is explored by MC simulation and finite size scaling. The usual mapping of a neutral two-dimensional superconductor in zero magnetic field to a Coulomb gas leads to an unscreened logarithmic interaction between the vortices, and with periodic boundary conditions vortex configurations are always vorticity neutral with an equal number of plus and minus vortices. We demonstrate that relaxing the neutrality condition has certain advantages. It leads to non-neutral vortex configurations that can appear in real systems with open boundary conditions and permits calculation of the compressibility, which for thin film superconductors corresponds to the magnetic permeability. The vortex-number fluctuation has remarkable scaling properties at and below the Berezinskii-Kosterlitz-Thouless transition. The fugacity variable becomes dangerously irrelevant in the low-temperature phase and leads to a multiplicative scaling correction to the mean-square vortex-number fluctuation and to the magnetic permeability. This multiplicative correction strongly affects the scaling properties of the vorticity fluctuation at and below the transition. Consequences of these findings are demonstrated using Monte Carlo simulations. Inclusion of the next-higher order correction to scaling is found to play an important role in the analysis of numerical data for the vortex number fluctuation and permits accurate determination of the critical properties.
No AI After Auschwitz? Bridging AI and Memory Ethics in the Context of Information Retrieval of Genocide-Related Information
Creators: name: Makhortykh, Mykola
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computers and Society (cs.CY)
subject: FOS: Computer and information sciences

description: The growing application of artificial intelligence (AI) in the field of information retrieval (IR) affects different domains, including cultural heritage. By facilitating organisation and retrieval of large volumes of heritage-related content, AI-driven IR systems inform users about a broad range of historical phenomena, including genocides (e.g. the Holocaust). However, it is currently unclear to what degree IR systems are capable of dealing with multiple ethical challenges associated with the curation of genocide-related information. To address this question, this chapter provides an overview of ethical challenges associated with the human curation of genocide-related information using a three-part framework inspired by Belmont criteria (i.e. curation challenges associated with respect for individuals, beneficence and justice/fairness). Then, the chapter discusses to what degree the above-mentioned challenges are applicable to the ways in which AI-driven IR systems deal with genocide-related information and what can be the potential ways of bridging AI and memory ethics in this context.
description: 17 pages
Stable non-BPS D-particles
Creators: name: Bergman, O.
name: Gaberdiel, M. R.
Publisher: name: arXiv
Year: 1998
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: It is shown that the orbifold of type IIB string theory by (-1)^{F_L} I_4 admits a stable non-BPS Dirichlet particle that is stuck on the orbifold fixed plane. It is charged under the SO(2) gauge group coming from the twisted sector, and transforms as a long multiplet of the D=6 supersymmetry algebra. This suggests that it is the strong coupling dual of the perturbative stable non-BPS state that appears in the orientifold of type IIB by ΩI_4.
description: 10 pages, LaTeX
The potential of a pedagogy for border crossing: Encouraging intercultural learning for outbound undergraduates at an Australian university
Creators: name: Townsin, Louise
Publisher: name: Torrens University Australia
Year: 2018
Subjects: subject: 130202 Curriculum and Pedagogy Theory and Development
subject: FOS: Educational sciences

description: Many Australian universities provide international and intercultural learning experiences for their students, both on campus and through student learning abroad initiatives. Alongside the internationalisation strategies that provide opportunities for intercultural learning, pedagogical strategies are critical in supporting students to develop the dispositions, knowledge, and skills needed for a world with many global, shared challenges. This thesis illustrates the potential of a pedagogy for border crossing to foster intercultural learning for students who participate in international experiences as part of their university studies. Commencing in the founding year of an Australian university, and involving the first 3 outbound mobility programs that the university offered, the study was an emergent exploration utilising a bricolage methodology. The research design included a pre-intervention stage, and 2 exploratory intervention stages. Participants were 29 undergraduate students who undertook outbound mobility programs in Malaysia, Japan, and Thailand. Three further participants in the study did not travel but engaged in intercultural learning activities in Australia. Data were generated through a range of methods, with critical incidents, themes, and reflexivity used to guide the interpretation process. Drawing from a living theory approach to translate existing theories of border crossing, intercultural competence, and critical pedagogy, the study makes an original contribution to knowledge by showing the possibilities of a novel pedagogy for intercultural learning for students, outbound education professionals, and educators. The findings indicate that although the concept of border crossing is well suited to the outbound mobility context, there are several areas of concern and risk associated with a strategy of border crossing applied through intercultural interaction and communication. Nevertheless, the study suggests that a pedagogy for border crossing to support intercultural learning has the potential to not only trouble the notion of intercultural competence, but also productively use it as a base for students’ and educators’ further learning.
Annihilation Fountain in the Galactic Center Region
Creators: name: Dermer, C. D.
name: Skibo, J. G.
Publisher: name: arXiv
Year: 1997
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Two different model-independent mapping techniques have been applied to OSSE, SMM, TGRS and balloon data and reveal a feature in the 0.511 MeV electron-positron annihilation radiation pattern of our galaxy centered roughly at l=-2 deg. and b=10 deg. with a flux of 5x10^(-4) 0.511 MeV ph/cm^2/s. If near the galactic center, then positron sources are producing approximately 10^42 positrons/s which annihilate 1-2 kpc above the galactic plane. A starburst episode within the inner few hundred pc of our galaxy would drive hot pair-laden gas into the halo, with the one-sidedness pointing to the site of initial pressure release at the onset of the starburst activity. Positrons lose energy and annihilate as they are convected upward with the gas flow, and we calculate high-latitude annihilation patterns and fluxes in accord with the observations. Changes in the ionization state when the escaping gas cools could give annihilation radiation substructure. The fountain of hot (10^6-10^7 K) gas rising into the galactic halo would be seen through its enhanced dispersion measure, thermal emission, and recombination radiation.
description: 11 pages, Latex, requires AASTEX macros and psfig.tex, 2 postscript figures, Submitted to Astrophysical Journal Letters
Strong gravitational lensing for black hole with scalar charge in massive gravity
Creators: name: Zhang, Ruanjing
name: Jing, Jiliang
name: Chen, Songbai
Publisher: name: arXiv
Year: 2018
Subjects: subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We investigate the strong gravitational lensing for black hole with scalar charge in massive gravity. We find that the scalar charge and the type of the black hole significantly affect the radius of the photon sphere, deflection angle, angular image position, angular image separation, relative magnifications and time delay in strong gravitational lensing. Our results can be reduced to that of the Schwarzschild and Reissner-Nordstr$\ddot{o}$m black holes in some special cases.
description: 14 pages, 4 figures, 3 tables
ИСПОЛЬЗОВАНИЕ ОЛИВЫ В ЛЕЧЕБНЫХ ЦЕЛЯХ ДРЕВНОСТИ
Creators: name: Мадаминов, Дилмухаммад
name: Озодбекова, Гўзалой
Publisher: name: Zenodo
Year: 2024

description: Оливки заменяли древним грекам дорогие продукты. Они употребляли их в пищу и насыщали организм полезными веществами. Из них они производили оливковое масло, которое женщины использовали в косметике и уходе за собой. Наличие оливы в доме считалось признаком богатства и плодородия. Данный продукт экспортировался во многие страны, что приносило небывалый доход Древней Греции. Смеси на основе оливок, служили как антисептик, поэтому служащие часто носили их с собой во время боев. Оливковое масло утоляло голод.
Efficient Neural Implicit Representation for 3D Human Reconstruction
Creators: name: Huang, Zexu
name: Erfani, Sarah Monazam
name: Lu, Siying
name: Gong, Mingming
Publisher: name: arXiv
Year: 2024
Subjects: subject: Computer Vision and Pattern Recognition (cs.CV)
subject: FOS: Computer and information sciences

description: High-fidelity digital human representations are increasingly in demand in the digital world, particularly for interactive telepresence, AR/VR, 3D graphics, and the rapidly evolving metaverse. Even though they work well in small spaces, conventional methods for reconstructing 3D human motion frequently require the use of expensive hardware and have high processing costs. This study presents HumanAvatar, an innovative approach that efficiently reconstructs precise human avatars from monocular video sources. At the core of our methodology, we integrate the pre-trained HuMoR, a model celebrated for its proficiency in human motion estimation. This is adeptly fused with the cutting-edge neural radiance field technology, Instant-NGP, and the state-of-the-art articulated model, Fast-SNARF, to enhance the reconstruction fidelity and speed. By combining these two technologies, a system is created that can render quickly and effectively while also providing estimation of human pose parameters that are unmatched in accuracy. We have enhanced our system with an advanced posture-sensitive space reduction technique, which optimally balances rendering quality with computational efficiency. In our detailed experimental analysis using both artificial and real-world monocular videos, we establish the advanced performance of our approach. HumanAvatar consistently equals or surpasses contemporary leading-edge reconstruction techniques in quality. Furthermore, it achieves these complex reconstructions in minutes, a fraction of the time typically required by existing methods. Our models achieve a training speed that is 110X faster than that of State-of-The-Art (SoTA) NeRF-based models. Our technique performs noticeably better than SoTA dynamic human NeRF methods if given an identical runtime limit. HumanAvatar can provide effective visuals after only 30 seconds of training.
Eigenvalue analogy for confidence estimation in item-based recommender systems
Creators: name: Dacrema, Maurizio Ferrari
name: Cremonesi, Paolo
Publisher: name: arXiv
Year: 2018
Subjects: subject: Information Retrieval (cs.IR)
subject: Machine Learning (cs.LG)
subject: Machine Learning (stat.ML)
subject: FOS: Computer and information sciences

description: Item-item collaborative filtering (CF) models are a well known and studied family of recommender systems, however current literature does not provide any theoretical explanation of the conditions under which item-based recommendations will succeed or fail. We investigate the existence of an ideal item-based CF method able to make perfect recommendations. This CF model is formalized as an eigenvalue problem, where estimated ratings are equivalent to the true (unknown) ratings multiplied by a user-specific eigenvalue of the similarity matrix. Preliminary experiments show that the magnitude of the eigenvalue is proportional to the accuracy of recommendations for that user and therefore it can provide reliable measure of confidence.
Realistic SUSY model with four fermion families, natural R parity and $ν_τ$ in the eV Range
Creators: name: Berezhiani, Zurab
name: Nardi, Enrico
Publisher: name: arXiv
Year: 1995
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We study an extension of the supersymmetric standard model with four families and gauged horizontal symmetry $SU(4)_H$, in which R parity automatically follows as a consequence of gauge invariance and of the field content of the model. Beyond ensuring R parity conservation, the horizontal symmetry allows for the dynamical generation of a hierarchical pattern of fermion masses, without the need of any ad hoc choice of small Yukawa couplings. The structure of the mass matrices implies that the fourth family does not mix with the other three, and that the $b',t',τ',ν'$ masses are all naturally in the 100 GeV range. The model has other interesting phenomenological implications. The scale of the horizontal symmetry breaking is constrained by cosmological and astrophysical arguments to be $\sim 10^{11}$ GeV. Then the late $b'$ decays could explain a magnitude of the isotropic cosmic gamma flux. In addition, a lower bound of a few eV is found for the mass of the $τ$-neutrino, which can thus provide a hot component for the cosmological dark matter. Due to R parity conservation, the lightest supersymmetric particle is stable and can provide the cold component. The $ν_e$ and $ν_μ$ masses can naturally be in the correct ranges for a solution of the solar or atmospheric neutrino problems via neutrino oscillations.
description: 12 pages, LATEX
Additional file 1: of Interferon-α exacerbates neuropsychiatric phenotypes in lupus-prone mice
Creators: name: Zeng, Jing
name: Meng, Xinyu
name: Zhou, Ping
name: Yin, Zhihua
name: Xie, Qinglian
name: Zou, Hong
name: Shen, Nan
name: Ye, Zhizhong
name: Tang, Yuanjia
Publisher: name: figshare
Year: 2019
Subjects: subject: Biochemistry
subject: Medicine
subject: Microbiology
subject: FOS: Biological sciences
subject: Genetics
subject: Molecular Biology
subject: Ecology
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Marine Biology
subject: Infectious Diseases
subject: FOS: Health sciences
subject: Virology

description: Figure S1. Effect of IFN-α on lupus nephritis in NZB/NZW F1 mice. (a) Proteinuria, as quantified by 24-h urinary protein. (b) H&E- or PAS-stained kidney sections. Number of animals per group =5. *P < 0.05, **P < 0.01, ***P < 0.005, ****P < 0.001 vs. Adv-ctrl treated group, unpaired t test. (PDF 311 kb)
Does nonaxisymmetric dynamo operate in the Sun?
Creators: name: Pipin, V. V.
name: Kosovichev, A. G.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: We explore effects of random non-axisymmetric perturbations of kinetic helicity (the $α$ effect) and diffusive decay of bipolar magnetic regions on generation and evolution of large-scale non-axisymmetric magnetic fields on the Sun. Using a reduced 2D nonlinear mean-field dynamo model and assuming that bipolar regions emerge due to magnetic buoyancy in situ of the large-scale dynamo action, we show that fluctuations of the $α$ effect can maintain the non-axisymmetric magnetic fields through a solar-type $α^{2}Ω$ dynamo process. It is found that diffusive decay of bipolar active regions is likely to be the primary source of the non-axisymmetric magnetic fields observed on the Sun. Our results show that the non-axisymmetric dynamo model with stochastic perturbations of the $α$ effect can explain periods of extremely high activity (`super-cycle' events) as well as periods of deep decline of magnetic activity. We compare the models with synoptic observations of solar magnetic fields for the last four activity cycles, and discuss implications of our results for interpretation of observations of stellar magnetic activity.
description: 15 pages, 11 figures, accepted in ApJ
On the existence of nematic-superconducting states in the Ginzburg-Landau regime
Creators: name: De Leo, Mariano
name: Borgna, Juan Pablo
name: Ovalle, Diego García
Publisher: name: arXiv
Year: 2024
Subjects: subject: Superconductivity (cond-mat.supr-con)
subject: Mathematical Physics (math-ph)
subject: FOS: Physical sciences
subject: 35Q36

description: In this article, we investigate the existence of nematic-superconducting states in the Ginzburg-Landau regime, both analytically and numerically. From the configurations considered, a slab and a cylinder with a circular cross-section, we demonstrate the existence of geometrical thresholds for the obtention of non-zero nematic order parameters. Within the frame of this constraint, the numerical calculations on the slab reveal that the competition or collaboration between nematicity and superconductivity is a complex energy minimization problem, requiring the accommodation of the Ginzburg-Landau parameters of the decoupled individual systems, the sign of the bi-quadratic potential energy relating both order parameters and the magnitude of the applied magnetic field. Specifically, the numerical results show the existence of a parameter regime for which it is possible to find mixed nematic-superconducting states. These regimes depend strongly on both the applied magnetic field and the potential coupling parameter. Since the proposed model corresponds to the weak coupling regime, and since it is a condition on these parameters, we design a test to decide whether this condition is fulfilled.
description: 18 pages, 8 figures, the complete final version will be published in Chaos, Solitons and Fractals (Elsevier) vol 179, February 2024
Discretization-Dependent Dissolution of (Dis)Continuous Gliders: Non-Platonic Self-Organization in Complex Systems
Creators: name: Davis, Q. Tyrell
Publisher: name: arXiv
Year: 2024
Subjects: subject: Cellular Automata and Lattice Gases (nlin.CG)
subject: Adaptation and Self-Organizing Systems (nlin.AO)
subject: Pattern Formation and Solitons (nlin.PS)
subject: FOS: Physical sciences

description: Many simulated complex systems that support persistent self-organizing patterns, i.e. gliders, have a 'state-plus-update' paradigm. This approach can be found in computational models of physics, continuous and neural cellular automata, residual connections in neural networks, and optimization methods like stochastic gradient descent. If the update is the output of a differential equation and modulated by a step size parameter, we have the familiar and general Euler method. Generally, a smaller step size is expected to yield more accurate results, at the expense of more computations to arrive at a desired end point.
 I examine multiple systems supporting gliders that fit into the Euler method framework, including multiple approaches to continuous cellular automata and the Gray-Scott artificial chemistry system. Each of these systems yield one or more glider pattern-rule pairs that persist under specific, and sometimes quite coarse, discretization conditions, but become unstable at nominally more accurate, finer simulation conditions. These patterns (in combination with the systems they persist in) are clearly not approximations approaching an abstract ideal as discretization tends to zero, but exist on their own, somewhat baffling, terms that include the systematic errors of particular discretization regimes.
 I refer to these gliders as 'non-Platonic'. Code for replicating or expanding on this work has been made available at https://github.com/RiveSunder/DiscoGliders.
description: Published in Innovations in Machine Intelligence, 2023 December 31 [https://doi.org/10.54854/imi2023.01]
Macroscopic Forces driven by Resonant Neutrino Conversion
Creators: name: Grasso, Dario
name: Rossi, Anna
Publisher: name: arXiv
Year: 1999
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: We show that neutrino oscillations in matter are always accompanied by collective forces on the medium. This effect may produce interesting consequences for the background and the neutrino oscillations themselves. The force is maximal in the case of resonant neutrino conversion in the adiabatic regime. We study here the forces driven by $ν_e-ν_{μ,τ}$ and $ν_e-ν_s$ MSW conversion and shortly discuss their possible relevance for the dynamics of a type II supernova.
description: 9 LaTeX pages, 1 ps figure file. Format changed. One formula corrected. Some comments added to the text. Accepted for publication on Phys. Lett. B
Additional file 2: of Interferon-α exacerbates neuropsychiatric phenotypes in lupus-prone mice
Creators: name: Zeng, Jing
name: Meng, Xinyu
name: Zhou, Ping
name: Yin, Zhihua
name: Xie, Qinglian
name: Zou, Hong
name: Shen, Nan
name: Ye, Zhizhong
name: Tang, Yuanjia
Publisher: name: figshare
Year: 2019
Subjects: subject: Medicine
subject: Genetics
subject: FOS: Biological sciences
subject: Molecular Biology
subject: Neuroscience
subject: Immunology
subject: FOS: Clinical medicine
subject: Developmental Biology
subject: Infectious Diseases
subject: FOS: Health sciences

description: Figure S2. The expression levels of IFN-α, IL-6 and CXCL10 in the brain. Number of animals per group =5. *P < 0.05, **P < 0.01, ***P < 0.005, ****P < 0.001 vs. Adv-ctrl treated group, 2-way ANOVA with Sidak’s test. (PDF 34 kb)
An Airline Fare Predection Model Based on Machine Learning
Creators: name: Mrs.N.Fathima Shrene Shifna, Chowdam Naga Narasimharaju, Chinnam Vasu, Cherwin Joel R, Challagullayugandhar
Publisher: name: Zenodo
Year: 2024

description: The rate of air price tag is suffering from many elements like distance of flight, time of buy, price of gasoline etc. Each carrier has its personal rules and methods for setting prices. Recent advances in artificial intelligence (AI) and device studying (ML) permit such rules and pricing fashions to absorb modifications. This paper proposes a brand new use of publicly available assets of aviation information: the Origin and Destination Airline Survey (DB1B) and the Air Carrier Statistics Database (T-a hundred). The proposed framework integrates two databases with macroeconomic statistics and uses system learning algorithms to version common quarterly ticket fees throughout exceptional primary organizations referred to as market segments. The panel achieves high predictive accuracy with a specific R-squared score of 0.869 at the take a look at records set
Chiral anomaly and strange-nonstrange mixing
Creators: name: Giacosa, Francesco
Publisher: name: arXiv
Year: 2018
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: As a first step, a simple and pedagogical recall of the $η$-$η'$ system is presented, in which the role of the axial anomaly, related to the heterochiral nature of the multiplet of (pseudo)scalar states, is underlined. As a consequence, $η$ is close to the octet and $η'$ to the singlet configuration. On the contrary, for vector and tensor states, which belong to homochiral multiplets, no anomalous contribution to masses and mixing is present. Then, the isoscalar physical states are to a very good approximation nonstrange and strange, respectively. Finally, for pseudotensor states, which are part of an heterochiral multiplet (just as pseudoscalar ones), a sizable anomalous term is expected: $η_2 (1645)$ roughly corresponds to the octet and $η_2 (1870)$ to the singlet.
description: 4 pages. Prepared for the proceedings of MESON 2018, 15th International Workshop on Meson Physics, KRAK\'OW, POLAND, 7th - 12th June 2018
A fully-coupled algorithm with implicit surface tension treatment for interfacial flows with large density ratios
Creators: name: Janodet, Romain
name: van Wachem, Berend
name: Denner, Fabian
Publisher: name: arXiv
Year: 2024
Subjects: subject: Fluid Dynamics (physics.flu-dyn)
subject: Computational Physics (physics.comp-ph)
subject: FOS: Physical sciences

description: The stability of most surface-tension-driven interfacial flow simulations is governed by the capillary time-step constraint. This concerns particularly small-scale flows and, more generally, highly-resolved liquid-gas simulations with moderate inertia. To date, the majority of interfacial-flow simulations are performed using an explicit surface-tension treatment, which restrains the performance of such simulations. Recently, an implicit treatment of surface tension able to breach the capillary time-step constraint using the volume-of-fluid (VOF) method was proposed, based on a fully-coupled pressure-based finite-volume algorithm. To this end, the interface-advection equation is incorporated implicitly into the linear flow solver, resulting in a tight coupling between all implicit solution variables (colour function, pressure, velocity). However, this algorithm is limited to uniform density and viscosity fields. Here, we present a fully-coupled algorithm for interfacial flows with implicit surface tension applicable to interfacial flows with large density and viscosity ratios. This is achieved by solving the continuity and momentum equations in conservative form, whereby the density is treated implicitly with respect to the colour function, and the advection term of the interface-advection equation is discretised using the THINC/QQ algebraic VOF scheme, yielding a consistent discretisation of the advective terms. This new algorithm is tested by considering representative surface-tension-dominated interfacial flows, including the Laplace equilibrium of a stationary droplet and the three-dimensional Rayleigh-Plateau instability of a liquid filament. The presented results demonstrate that interfacial flows with large density and viscosity ratios can be simulated and energy conservation is ensured, even with a time step larger than the capillary time-step constraint.
Effect of Particle Size Distribution on Formation Failure During Drilling Operations: Niger Delta Field as a Case Study
Creators: name: Nubel Bariza, Okoro Emeka Emmanuel, Oscar I. O. Ogali, Ogbonna F. Joel
Publisher: name: Zenodo
Year: 2024

description: This study explores the interrelationship between particle size distribution (PSD) and stress-strain characteristics of subsurface formations to understand the potential for brittle failure during drilling operations in “Field XY” of the Niger-Delta. We conducted comprehensive sieve analysis to determine PSD and performed uniaxial compressive strength tests to elucidate the stress-strain behavior of rock samples collected at varying depths. The PSD results indicated a higher proportion of fine particles in shallower depths, while deeper samples presented a coarser grain structure. Correspondingly, stress-strain tests revealed a transition from ductile to brittle failure mechanisms with increased depth. A thorough examination of moisture content influence indicated that variations in mechanical properties were not solely attributed to moisture variations but also to intrinsic geomechanical characteristics influenced by PSD. The findings from this study contribute to the growing body of knowledge on drilling-inducedformation damage and offer insights for optimizing drilling parameters to mitigate the risks of subsurface failure.
The Lives of Stars: Insights From the TGAS-RAVE-LAMOST Dataset
Creators: name: Vickers, John J.
name: Smith, Martin C.
Publisher: name: arXiv
Year: 2018
Subjects: subject: Astrophysics of Galaxies (astro-ph.GA)
subject: FOS: Physical sciences

description: In this paper we investigate how the chemical and kinematic properties of stars vary as a function of age. Using data from a variety of photometric, astrometric and spectroscopic surveys, we calculate the ages, phase space information and orbits for $\sim$125,000 stars covering a wide range of stellar parameters. We find indications that the inner regions of the disk reached high levels of enrichment early, while the outer regions were more substantially enriched in intermediate and recent epochs. We consider these enrichment histories through comparison of the ages of stars, their metallicities, and kinematic properties, such as their angular momentum in the solar neighborhood (which is a proxy for orbital radius). We calculate rates at which the velocity dispersions evolve, investigate the Oort constants for different aged populations (finding a slightly negative $\partial V_{C} / \partial R$ and $\partial V_{R} / \partial R$ for all ages, being most negative for the oldest stars), as well as examine the behavior of the velocity vertex deviation angle as a function of age (which we find to fall from $\sim$15 degrees for the 2 Gyr aged population to $\sim$6 degrees at around 6.5 Gyr of age, after which it remains unchanged). We find evidence for stellar churning, and find that the churned stars have a slightly younger age distribution than the rest of the data.
description: 18 Pages, 14 Figures, Accepted ApJ
Improved bounds on non-luminous matter in solar orbit
Creators: name: Anderson, John D.
name: Lau, Eunice L.
name: Krisher, Timothy P.
name: Dicus, Duane A.
name: Rosenbaum, Doris C.
name: Teplitz, Vigdor L.
Publisher: name: arXiv
Year: 1995
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We improve, using a larger set of observations including Voyager 2 Neptune flyby data, previous bounds on the amount of dark matter (DM) trapped in a spherically symmetric distribution about the sun. We bound DM by noting that such a distribution would increase the effective mass of the sun as seen by the outer planets and by finding the uncertainty in that effective mass for Uranus and Neptune in fits to the JPL Developmental Ephermeris residuals, including optical data and those two planets' Voyager 2 flybys. We extend our previous procedure by fitting more parameters of the developmental ephemerides. Additionally, we present here the values for Pioneer 10 and 11 and Voyager 1 and 2 Jupiter ranging normal points (and incorporate these data as well). Our principal result is to limit DM in spherically symmetric distributions in orbit about the sun interior to Neptune's orbit to less than an earth mass and interior to Uranus' orbit to about 1/6 of an earth's mass.
description: 23 pages, Latex
Computation of Electrical Conductivities of Aqueous Electrolyte Solutions: Two Surfaces , One Property
Creators: name: Blazquez, S.
name: Abascal, J. L. F.
name: Lagerweij, J.
name: Habibi, P.
name: Dey, P.
name: Vlugt, T. J. H.
name: Moultos, O. A.
name: Vega, C.
Publisher: name: arXiv
Year: 2024
Subjects: subject: Chemical Physics (physics.chem-ph)
subject: FOS: Physical sciences

description: In this work, we have computed electrical conductivities at ambient conditions of aqueous NaCl and KCl solutions by using the Einstein-Helfand equation. Common force fields (charge q = 1 e) do not reproduce the experimental values of electrical conductivities, viscosities and diffusion coefficients. Recently, we proposed the idea of using different charges to describe the Potential Energy Surface (PES) and the Dipole Moment Surface (DMS). In this work, we implement this concept. The equilibrium trajectories required to evaluate electrical conductivities (within linear response theory) were obtained by using scaled charges (with the value q = 0.75 e ) to describe the PES. The potential parameters were those of the Madrid-Transport force field, which describe accurately viscosities and diffusion coefficients of these ionic solutions. However, integer charges were used to compute the conductivities (thus describing the DMS). The basic idea is that although the scaled charge describes the ion-water interaction better, the integer charge reflects the value of the charge that is transported due to the electric field. The agreement obtained with experiments is excellent, as for the first time electrical conductivities (and the other transport properties) of NaCl and KCl electrolyte solutions are described with high accuracy for the whole concentration range up to their solubility limit. Finally, we propose an easy way to obtain a rough estimate of the actual electrical conductivity of the potential model under consideration using the approximate Nernst-Einstein equation, which neglects correlations between different ions.
Baryons from Supergravity
Creators: name: Brandhuber, A.
name: Itzhaki, N.
name: Sonnenschein, J.
name: Yankielowicz, S.
Publisher: name: arXiv
Year: 1998
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We study the construction of baryons via supergravity along the line suggested recently by Witten and by Gross and Ooguri. We calculate the energy of the baryon as a function of its size. As expected the energy is linear with N. For the non-supersymmetric theories (in three and four dimensions) we find a linear relation which is an indication of confinement. For the {\cal N} = 4 theory we obtain the result (E L= - {const.}) which is compatible with conformal invariance. Surprisingly, our calculation suggests that there is a bound state of k quarks if N\geq k\geq 5N/8. We study the {\cal N} = 4 theory also at finite temperature and find the zero temperature behavior for small size of the baryon, and screening behaviour for baryon, whose size is large compared to the thermal wavelength.
description: 11 pages, 4 eps figs
Cardio Risk Assessment Using Machine Learning
Creators: name: Mr.P.Veeresh Kumar, Alokam Pavani, Garikapati Bhavya Sai, Jajula Maheswari, Annapureddy Shirisha
Publisher: name: Zenodo
Year: 2024

description: Cardiovascular disease (CVD) remains a global health threat, demanding improved methods for early detection and risk stratification. This project explores the potential of machine learning for predicting the probability of heart disease in individuals. We conduct a comparative analysis of various machine learning algorithms, including Random Forest, Support Vector Machines, and Logistic Regression, to identify the model with the highest accuracy in predicting CVD. Our findings reveal that the Random Forest algorithm outperforms other contenders, demonstrating superior accuracy in assessing an individual's risk of developing heart disease. This model utilizes a person's characteristics and features, such as age, blood pressure, cholesterol levels, and family history, to generate a personalized probability score. By leveraging the power of Random Forest, this project proposes a novel approach for CVD risk assessment. This method holds promise for improving the identification of high-risk individuals, enabling clinicians to implement targeted preventative strategies and potentially reduce the burden of CVD.