cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Tidal Love numbers and moment-Love relations of polytropic stars
Creators: name: Yip, Kenny L. S.
name: Leung, P. T.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Solar and Stellar Astrophysics (astro-ph.SR)
subject: FOS: Physical sciences

description: The physical significance of tidal deformation in astronomical systems has long been known. The recently discovered universal I-Love-Q relations, which connect moment of inertia, quadrupole tidal Love number, and spin-induced quadrupole moment of compact stars, also underscore the special role of tidal deformation in gravitational wave astronomy. Motivated by the observation that such relations also prevail in Newtonian stars and crucially depend on the stiffness of a star, we consider the tidal Love numbers of Newtonian polytropic stars whose stiffness is characterised by a polytropic index $n$. We first perturbatively solve the Lane-Emden equation governing the profile of polytropic stars through the application of the scaled delta expansion method and then formulate perturbation series for the multipolar tidal Love number about the two exactly solvable cases with $n=0$ and $n=1$, respectively. Making use of these two series to form a two-point Padé approximant, we find an approximate expression of the quadrupole tidal Love number, whose error is less than $2.5 \times 10^{-5}$ per cent (0.39 per cent) for $n\in[0,1]$ ($n\in[0,3]$). Similarly, we also determine the mass moments for polytropic stars accurately. Based on these findings, we are able to show that the I-Love-Q relations are in general stationary about the incompressible limit irrespective of the equation of state (EOS) of a star. Moreover, for the I-Love-Q relations, there is a secondary stationary point near $n \approx 0.4444$, thus showing the insensitivity to $n$ for $n\in[0,1]$. Our investigation clearly tracks the universality of the I-Love-Q relations from their validity for stiff stars such as neutron stars to their breakdown for soft stars.
description: 17 pages, 6 figures, 5 tables To appear in MNRAS
Influence Function Learning in Information Diffusion Networks
Creators: name: Yingyu  Liang
name: Du, Nan
name: Maria-Florina  Balcan
name: Song, Le
Publisher: name: Carnegie Mellon University
Year: 2014
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Can we learn the influence of a set of people in a social network from cascades of information diffusion? This question is often addressed by a two-stage approach: first learn a diffusion model, and then calculate the influence based on the learned model. Thus, the success of this approach relies heavily on the correctness of the diffusion model which is hard to verify for real world data. In this paper, we exploit the insight that the influence functions in many diffusion models are coverage functions, and propose a novel parameterization of such functions using a convex combination of random basis functions. Moreover, we propose an efficient maximum likelihood based algorithm to learn such functions directly from cascade data, and hence bypass the need to specify a particular diffusion model in advance. We provide both theoretical and empirical analysis for our approach, showing that the proposed approach can provably learn the influence function with low sample complexity, be robust to the unknown diffusion models, and significantly outperform existing approaches in both synthetic and real world data
Study on water resistance improvement of wood dowel rotation welding joints
Creators: name: Li, Suxia
name: He, Jiarong
name: Wu, Jiawei
name: Yang, Yang
name: Sun, Qiyu
name: Lu, Xiaoning
name: Zhang, Zhongfeng
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Space Science
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Immunology
subject: FOS: Clinical medicine
subject: Biological Sciences not elsewhere classified
subject: Science Policy

description: Rotation welding of wood dowels has the advantages of high bonding strength, fast processing speed and green environmental protection, and is suitable for jointing nodes in furniture and wood products. However, most wood friction welding specimens have poor water resistance where the welded joints are more likely to be damaged in wet environments, which greatly limits their wider application. Previous studies focused on using natural and green materials or methods to enhance bonding strength and water resistance of friction-welded joints. This paper reveals an innovative chemical pretreatment method to improve the water resistance of rotary friction welded joints by treating the substrate blocks or dowels with reagents that successively oxidize and sulfonate the wood, and spraying the dowels with Zinc acetate alcohol solution that has a lubricant effect, followed by friction welding. The findings show that both the dry bonding strength of friction welded joints and the wet bonding strength after impregnation with cold, hot, and boiling water of dowels pretreated with oxidation and sulfonation reactions were higher than those without pretreatment and significantly superior to the traditional polyvinyl acetate (PVAc) adhesive bonding.
СИНТЕЗ И ВЫСОКОЧАСТОТНЫЕ СВОЙСТВА НАНОЧАСТИЦ ФЕРРИТА ВИСМУТА
Creators: name: КАЛГАНОВ ДМИТРИЙ АЛЕКСАНДРОВИЧ
name: ГРЯЗНОВА МАРИЯ СЕРГЕЕВНА
name: БЫЧКОВ ИГОРЬ ВАЛЕРЬЕВИЧ
name: БЕЛАЯ ЕЛЕНА АЛЕКСАНДРОВНА
name: УЛЬЯНОВ МАКСИМ НИКОЛАЕВИЧ
Publisher: name: Челябинский физико-математический журнал
Year: 2019
Subjects: ФЕРРИТ ВИСМУТА
МУЛЬТИФЕРРОИКИ
СВЧ
МАГНИТНЫЕ СВОЙСТВА
КАТИОНООБМЕННЫЙ СИНТЕЗ
КАТИОН-ПОЛИМЕРНАЯ МАТРИЦА
КАТИОНИТ
BISMUTH FERRITE
MULTIFERROICS
MICROWAVE PROPERTIES
MAGNETIC PROPERTIES
CATION EXCHANGE SYNTHESIS
CATION-POLYMER MATRIX
CATIONITE

description: Работа посвящена поиску новых способов получения наночастиц феррита висмута BiFeO3 с малым количеством примесных фаз. Используется синтез на катионообменной полимерной матрице с последующей высокотемпературной обработкой. Фазовый состав промежуточных и конечного продуктов исследован рентгенодиффракционными методами, включая полнопрофильное уточнение в программном пакете Jana2006. В частотном диапазоне 26.5-40 ГГц получена зависимость модуля коэффициента пропускания для образцов во внешнем магнитном поле.
НЕРАВНОМЕРНОЕ РАСПРЕДЕЛЕНИЕ УГЛЕРОДА ПРИ МАРТЕНСИТНОМ ПРЕВРАЩЕНИИ
Creators: name: ЧЕХУНОВА АННА МИХАЙЛОВНА
name: ПАХАРУКОВ ЮРИЙ ВАВИЛОВИЧ
Publisher: name: Челябинский физико-математический журнал
Year: 2019
Subjects: ДИСЛОКАЦИЯ
ВАКАНСИЯ
МАРТЕНСИТНОЕ ПРЕВРАЩЕНИЕ
ГРАНИЦЫ ЗЁРЕН
УПРУГОЕ НАПРЯЖЕНИЕ
КЛАСТЕРНЫЕ НАНОСЕГРЕГАЦИИ
КАРБИДОПОДОБНАЯ НАНОФАЗА
DISLOCATION
VACANCY
MARTENSITIC TRANSFORMATION
GRAIN BOUNDARY
ELASTIC STRESS
CLUSTER NANOSEGREGATION
CARBIDE-LIKE NANOPHASE

description: Рассматривается механизм выноса атомов углерода с участием дислокаций и вакансий под действием упругих напряжений, вызванных мартенситным переходом. Вакансии образуются в результате термической обработки и участвуют в вытеснении углерода в междоузлие. Под действием упругих напряжений из вакансий и междоузельного углерода образуются кластеры, которые оказываются захваченными дислокациями. В периодическом поле упругих напряжений увеличивается ширина дислокации, что приводит к её движению, в результате которого атомы углерода в составе кластеров выносятся на границы зёрен.
Industry diversification in industrial districts: is it about embedded regional or firm-level capabilities?
Creators: name: Hervas-Oliver, Jose Luis
name: Boronat-Moll, Carles
name: Sempere-Ripoll, Francisca
name: Dahoui-Obon, Jose Mariano
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Cell Biology
subject: Molecular Biology
subject: Environmental Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Sociology
subject: FOS: Sociology
subject: Biological Sciences not elsewhere classified
subject: Developmental Biology
subject: Marine Biology
subject: Science Policy

description: We analyse whether regionally embedded or firm-level capabilities drive regional diversification in industrial districts, examining the relationship between relatedness and Marshallian agglomerations. We argue that regional diversification lacks an explicit mechanism to explain branching into new products, positing that the origin of regional product branching is based on firm-level heterogeneity of capabilities and diversification, which is overlooked. Using mixed methods and patent analysis (1895–2019; 3592 patents and utility models), product diversification in the Toy Valley district in Alicante (Spain) is analysed, showing that firm-level related diversification with extensive local search explains the mechanism of the regional relatedness diversification.
The nexus between the cultural and creative industries and the Sustainable Development Goals: a network perspective
Creators: name: Gao, Yang
name: Turkina, Ekaterina
name: Van Assche, Ari
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Genetics
subject: FOS: Biological sciences
subject: Ecology
subject: Sociology
subject: FOS: Sociology
subject: Developmental Biology
subject: Science Policy
subject: Mental Health
subject: Plant Biology

description: Scholars and policymakers have widely claimed that the cultural and creative industries (CCIs) provide positive knowledge externalities that can help address sustainable development challenges, yet questions remain about the pathways through which this occurs. In this study, we hypothesise that several features of knowledge networks in the CCIs relate to a location’s sustainable development outcomes. We use data of ownership networks between 22,455 cultural heritage-related firms across 292 cities in China to empirically test our hypotheses. We find that the density of the CCI network has a positive relation with a city’s performance in terms of several Sustainable Development Goal measures. Moreover, the scale of local CCIs has an inverted ‘U’-shaped relationship with a city’s sustainability performance. Finally, a city’s degree of trans-local ties has an inverted ‘U’-shaped relation with a city’s sustainability performance.
Additional file 1 of TopoRoot: a method for computing hierarchy and fine-grained traits of maize roots from 3D imaging
Creators: name: Zeng, Dan
name: Li, Mao
name: Jiang, Ni
name: Ju, Yiwen
name: Schreiber, Hannah
name: Chambers, Erin
name: Letscher, David
name: Ju, Tao
name: Topp, Christopher N.
Publisher: name: figshare
Year: 2021
Subjects: subject: Artificial Intelligence and Image Processing
subject: FOS: Computer and information sciences

description: Additional file1: Table S1. TopoRoot’s computed traits. Fig. S1. Box plots of relative errors in stem traits computed by TopoRoot. Each box shows the quantiles of relative errors over all 55 synthetic samples at each noise level. Fig. S2. Box plots of relative errors in nodal root traits computed by TopoRoot, DynamicRoots and DynamicRoots+. Each box shows the quantiles of relative errors over all 55 synthetic samples at each noise level. Fig. S3. Box plots of relative errors in lateral root traits computed by TopoRoot, DynamicRoots and DynamicRoots+. Each box shows the quantiles of relative errors over all 55 synthetic samples at each noise level. Fig. S4. Box plots of relative errors in global root traits computed by TopoRoot, DynamicRoots, DynamicRoots+, GiaRoots and GiaRoots+. Each box shows the quantiles of relative errors over all 55 synthetic samples at each noise level.
Stability and chaos in real polynomial maps
Creators: name: Franco, Fermin
Publisher: name: arXiv
Year: 2017
Subjects: subject: Dynamical Systems (math.DS)
subject: Chaotic Dynamics (nlin.CD)
subject: FOS: Mathematics
subject: FOS: Physical sciences
subject: 93C55

description: We extend and improve the existing characterization of the dynamics of general quadratic real polynomial maps with coefficients that depend on a single parameter $λ$, and generalize this characterization to cubic real polynomial maps, in a consistent theory that is further generalized to real $n$-th degree real polynomial maps. In essence, we give conditions for the stability of the fixed points of any real polynomial map with real fixed points. In order to do this, we have introduced the concept of Canonical Polynomial Maps which are topologically conjugate to any polynomial map of the same degree with real fixed points. The stability of the fixed points of canonical polynomial maps has been found to depend solely on a special function termed Product Distance Function for a given fixed point. The values of this product distance determine the stability of the fixed point in question, when it bifurcates, and even when chaos arises, as it passes through what we have termed stability bands. The exact boundary values of these stability bands are yet to be calculated for regions of type greater than one for polynomials of degree higher than three.
description: 112 pages, 60 figures, M.Sc. Thesis, CIMAT
Aging and ultra-slow equilibration in concentrated colloidal hard spheres
Creators: name: Masri, Djamel El
name: Pierno, Matteo
name: Berthier, Ludovic
name: Cipelletti, Luca
Publisher: name: arXiv
Year: 2005
Subjects: subject: Soft Condensed Matter (cond-mat.soft)
subject: Disordered Systems and Neural Networks (cond-mat.dis-nn)
subject: FOS: Physical sciences

description: We study the dynamic behaviour of concentrated colloidal hard spheres using Time Resolved Correlation, a light scattering technique that can detect the slow evolution of the dynamics in out-of-equilibrium systems. Surprisingly, equilibrium is reached a very long time after sample initialization, the non-stationary regime lasting up to three orders of magnitude more than the relaxation time of the system. Before reaching equilibrium, the system displays unusual aging behaviour. The intermediate scattering function decays faster than exponentially and its relaxation time evolves non-monotonically with sample age.
description: Submitted to the proceedings of the 6th EPS Liquid Matter Conference, Utrecht 2-6 July 2005
The Impact of Small Refinery Exemption Waivers on Renewable Fuel Market Factors in the United States
Creators: name: Cornish, Brian
name: Miao, Ruiqing
name: Cornish, Brian
name: Miao, Ruiqing
Publisher: name: Unknown
Year: 2021
Subjects: Resource/Energy Economics and Policy
Environmental Economics and Policy
Agricultural and Food Policy

description: Presentation 21208
Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines
Creators: name: Zhu, Jun
name: Chen, Ning
name: Xing, Eric P
Publisher: name: Carnegie Mellon University
Year: 2011
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: We present Infinite SVM (iSVM), a Dirichlet process mixture of large-margin kernel machines for multi-way classification. An iSVM enjoys the advantages of both Bayesian nonparametrics in handling the unknown number of mixing components, and large-margin kernel machines in robustly capturing local nonlinearity of complex data. We develop an efficient variational learning algorithm for posterior inference of iSVM, and we demonstrate the advantages of iSVM over Dirichlet process mixture of generalized linear models and other benchmarks on both synthetic and real Flickr image classification datasets.
Abrikosov Vortex and Branes
Creators: name: Randjbar-Daemi, S.
Publisher: name: arXiv
Year: 2003
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: FOS: Physical sciences

description: We give a brief review of the application of some topological solutions in field theory.
description: To appear in a volume in honour of A.P.Balchandran in occasion of his 65th birthday. Spelling of the name in the title and some other typos corrected
The Recent Impacts of Anthropogenic Climate Change on Agricultural Productivity in China
Creators: name: Ault, Toby
name: Carrillo, Carlos
name: Chambers, Robert G.
name: He, Yurou
name: Ortiz-Bobea, Ariel
name: Sheng, Yu
name: Ault, Toby
name: Carrillo, Carlos
name: Chambers, Robert G.
name: He, Yurou
name: Ortiz-Bobea, Ariel
name: Sheng, Yu
Publisher: name: Unknown
Year: 2021
Subjects: Environmental Economics and Policy
Productivity Analysis
Agricultural and Food Policy

description: Presentation 20306
Additional file 1 of Rapid screening and identification of viral pathogens in metagenomic data
Creators: name: Song, Shiyang
name: Ma, Liangxiao
name: Xu, Xintian
name: Shi, Han
name: Li, Xuan
name: Liu, Yuanhua
name: Hao, Pei
Publisher: name: figshare
Year: 2021
Subjects: subject: Genetics
subject: FOS: Biological sciences

description: Additional file 1: An example of the final report generated by our pipeline.
title: ADCO, Premier cartulaire de l'abbaye de Molesmes (XIIe siècle), Cart. 142 (7 H 6), 128 pages, f. 0012r
Creators: name: de la Côte d'Or, Archives départementales
name: Petot, Frédéric
name: Archives Départementales De La Côte-D'Or
name: Petot, Frédérique
name: Projet CBMA
name: CG21/F.PETOT/2009
Publisher: name: NAKALA - https://nakala.fr (Huma-Num - CNRS)
publisherIdentifier: https://ror.org/04ces3204
publisherIdentifierScheme: ROR
Year: 2020
Subjects: subject: Corpus Burgundiae Medii Aevi
subject: Chartes de la Bourgogne du Moyen Âge
subject: LaMOP
subject: Laboratoire de Médiévistique Occidentale de Paris
subject: cartulaire

description: Premier cartulaire de l'abbaye de Molesmes (XIIe siècle), Archives départementales de la Côte-d'Or, Cart. 142 (7 H 6), 128 pages, f. 0012r, Numérisation en mode image.
description: Relation: http://www.cbma-project.eu/
description: Bibliographic citation: Premier cartulaire de l'abbaye de Molesmes (XIIe siècle), Archives départementales de la Côte-d'Or, Cart. 142 (7 H 6), 128 pages, f. 0012r, in Projet CBMA - Corpus Burgundiae Medii Aevi [Ressource en ligne], https:// manuscrits.cbma-project.eu/
description: Provenance: https://catalogue.bnf.fr/ark:/12148/cb137389344
description: Provenance: abbaye de Molesme
description: Provenance: http://www.wikidata.org/entity/Q334044
Social capital, cooperation and innovation in the energy sector clusters
Creators: name: Sánchez-García, Eduardo
name: Marco-Lajara, Bartolomé
name: Seva-Larrosa, Pedro
name: Martínez-Falcó, Javier
Publisher: name: Taylor & Francis
Year: 2023
Subjects: subject: Neuroscience
subject: Evolutionary Biology
subject: FOS: Biological sciences
subject: Ecology
subject: Science Policy

description: This paper analyses the relationship between the location of companies in specialised environments, social capital, cooperation and firms’ performance in terms of innovation. After calculating the degree to which the Spanish energy sector is agglomerated at the provincial level, the research hypotheses are tested using the partial least squares structural equation modelling (PLS-SEM) technique. The results show a positive and significant relationship between industrial agglomeration in territorial clusters and the firms’ innovative performance, besides the mediating effect of social capital and cooperation in this relationship. It is concluded that business location in specialised environments is of strategic importance for companies, especially in terms of innovation.
From Past to Present: Investigating Retrofitted GPS Antennas for Multi-GNSS Functionality
Creators: name: Kersten, Tobias
name: Kröger, Johannes
name: Breva, Yannick
name: Schön, Steffen
name: Bradke, Markus
name: Ramatschi, Markus
name: Männel, Benjamin
Publisher: name: Hannover : Institutionelles Repositorium der Leibniz Universität Hannover
Year: 2024
Subjects: subject: GNSS
subject: antenna calibration
subject: phase center corrections (PCC)
subject: phase center variation (PCV)
subject: phase center offsets (PCO)
subject: Dewey Decimal Classification::500 | Naturwissenschaften::520 | Astronomie, Kartographie
subject: Dewey Decimal Classification::600 | Technik::620 | Ingenieurwissenschaften und Maschinenbau::621 | Angewandte Physik::621,3 | Elektrotechnik, Elektronik

description: This paper investigates the re-use of highly precise equipment through the retrofitting of historical GPS choke ring antennas to accommodate Multi-GNSS systems. Specifically, it focuses on the former "reference" antenna of the International GNSS Service (IGS), the AOAD/M_T NONE antenna in a JPL 2d choke ring design, supported by the the GeoForschungsZentrum Potsdam (GFZ). The Institut für Erdmessung (IfE), a calibration institution certified by the International GNSS Service (IGS), had two different types of such antennas available: one delivered with the original Low Noise Amplifier (LNA) and retrofitted with the updated LNA, and another already equipped with the updated LNA. The IfE performed calibrations with both the original and retrofitted LNAs, providing legacy GPS L1/L2 calibrations and Multi-GNSS calibrations for broader variety of signals and frequencies. These calibrations are based on the robot calibration approach with a robot arm on a short baseline with common clock to reduce all external error sources. In this study, we present the different performance of the antenna with the retrofitted LNA based on Signal-to-Noise decrease functions, signal and frequency comparisons, variations in carrier phase, and analysis of code phase (group delays). Furthermore, we have performed an analysis on the basis of the pattern domain of PCC (Phase Center Corrections) and GDV (Group Delay Variations), as well as on the parameter domain, including positioning and other parameters such as clock corrections. Comprehensive performance analysis has been carried out to evaluate the effectiveness of such retrofitted antennas to also support Multi-GNSS systems. Additionally, we apply newly developed scalar measures for comparisons and performance analysis, providing a robust framework for assessing the suitability of retrofitted antennas for modern navigation needs. The findings shed light on the practical implications and technical considerations involved in adapting historical GPS choke ring antennas, emphasising responsible equipment re-use and performance optimisation in today's technological landscape.
Virtual Compton scattering off nuclei in the $Δ$-resonance region
Creators: name: Pasquini, B.
name: Boffi, S.
Publisher: name: arXiv
Year: 1996
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: Virtual Compton scattering in the $Δ$-resonance region is considered in the case of a target nucleus. The discussion involves generalized polarizabilities and is developed for zero-spin nuclei, focusing on the new information coming from virtual Compton scattering in comparison with real Compton scattering.
description: 8 pages, LaTeX, 3 figures available from the authors
Statistical Physics and Representations in Real and Artificial Neural Networks
Creators: name: Cocco, Simona
name: Monasson, Rémi
name: Posani, Lorenzo
name: Rosay, Sophie
name: Tubiana, Jérôme
Publisher: name: arXiv
Year: 2017
Subjects: subject: Data Analysis, Statistics and Probability (physics.data-an)
subject: Neurons and Cognition (q-bio.NC)
subject: FOS: Physical sciences
subject: FOS: Biological sciences

description: This document presents the material of two lectures on statistical physics and neural representations, delivered by one of us (R.M.) at the Fundamental Problems in Statistical Physics XIV summer school in July 2017. In a first part, we consider the neural representations of space (maps) in the hippocampus. We introduce an extension of the Hopfield model, able to store multiple spatial maps as continuous, finite-dimensional attractors. The phase diagram and dynamical properties of the model are analyzed. We then show how spatial representations can be dynamically decoded using an effective Ising model capturing the correlation structure in the neural data, and compare applications to data obtained from hippocampal multi-electrode recordings and by (sub)sampling our attractor model. In a second part, we focus on the problem of learning data representations in machine learning, in particular with artificial neural networks. We start by introducing data representations through some illustrations. We then analyze two important algorithms, Principal Component Analysis and Restricted Boltzmann Machines, with tools from statistical physics.
Infinite Latent SVM for Classification and Multi-task Learning
Creators: name: Zhu, Jun
name: Chen, Ning
name: Xing, Eric P
Publisher: name: Carnegie Mellon University
Year: 2011
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Unlike existing nonparametric Bayesian models, which rely solely on specially conceived priors to incorporate domain knowledge for discovering improved latent representations, we study nonparametric Bayesian inference with regularization on the desired posterior distributions. While priors can indirectly affect posterior distributions through Bayes' theorem, imposing posterior regularization is arguably more direct and in some cases can be much easier. We particularly focus on developing infinite latent support vector machines (iLSVM) and multi-task infinite latent support vector machines (MT-iLSVM), which explore the large-margin idea in combination with a nonparametric Bayesian model for discovering predictive latent features for classification and multi-task learning, respectively. We present efficient inference methods and report empirical studies on several benchmark datasets. Our results appear to demonstrate the merits inherited from both large-margin learning and Bayesian nonparametrics.
Cooperation and Risk-sharing in Social Dilemmas with Noisy Payoffs: Theory and Experimental Evidence
Creators: name: Evans, Alecia
name: Sesmero, Juan Pablo
name: Evans, Alecia
name: Sesmero, Juan Pablo
Publisher: name: Unknown
Year: 2021
Subjects: Research Methods/Statistical Methods
Institutional and Behavioral Economics
International Development

description: Presentation 21032
MPEC 2024-U128 : 2024 UO3
Creators: name: Minor Planet Center Staff
Publisher: name: The Minor Planet Center
Year: 2024
Subjects: subject: Small Solar System bodies
valueUri: http://astrothesaurus.org/uat/1469
subject: 2024 UO3

description: The Minor Planet Electronic Circulars contain information on unusual minor planets, routine data on comets and natural satellites, and occasional editorial announcements.  They are published on behalf of Division F of the International Astronomical Union by the Minor Planet Center, Smithsonian Astrophysical Observatory, Cambridge, MA 02138, U.S.A.
An image encryption algorithm using hybrid sea lion optimization and chaos theory in the hartley domain
Creators: name: Abdul-Kareem, Ali Akram
name: Al-Jawher, Waleed Ameen Mahmoud
Publisher: name: Taylor & Francis
Year: 2024
Subjects: subject: Space Science
subject: Physical Sciences not elsewhere classified
subject: Genetics
subject: FOS: Biological sciences
subject: Biological Sciences not elsewhere classified
subject: Information Systems not elsewhere classified
subject: Mathematical Sciences not elsewhere classified

description: This paper implements a hybrid encryption algorithm that combines multiple chaotic systems with the Sea Lion Optimization (SLO) algorithm and Discrete Hartley Transforms. Before converting the input image to the frequency domain, it undergoes confusion using the Lorenz chaotic system and is divided into four equal parts. Once the four sections are converted into the frequency domain, the confusion operations are carried out on each section using the chaotic sequences generated by the Uruk 4D chaotic system. The SLO algorithm incorporates a third phase of confusion to enhance randomness and disrupt the statistical correlation among the image components. The ultimate image is encrypted utilizing a bit stream derived from a chaotic Nahrain 3D system. The results of security tests and analyses conducted with the new hybrid algorithm demonstrate that it exhibited a superior level of protection against predictable statistical attacks compared to conventional encryption techniques.
Aerosol Constraints on the Atmosphere of the Hot Saturn-mass planet WASP-49b
Creators: name: Cubillos, Patricio
name: Fossati, Luca
name: Erkaev, Nikolai
name: Malik, Matej
name: Tokano, Tetsuya
name: Lendl, Monika
name: Johnstone, Colin
name: Lammer, Helmut
name: Wyttenbach, Aurelien
Publisher: name: arXiv
Year: 2017
Subjects: subject: Earth and Planetary Astrophysics (astro-ph.EP)
subject: FOS: Physical sciences

description: The strong, nearly wavelength-independent absorption cross section of aerosols produces featureless exoplanet transmission spectra, limiting our ability to characterize their atmospheres. Here we show that even in the presence of featureless spectra, we can still characterize certain atmospheric properties. Specifically, we constrain the upper and lower pressure boundaries of aerosol layers, and present plausible composition candidates. We study the case of the bloated Saturn-mass planet WASP-49b, where near-infrared observations reveal a flat transmission spectrum between 0.7 and 1.0 {\microns}. First, we use a hydrodynamic upper-atmosphere code to estimate the pressure reached by the ionizing stellar high-energy photons at $10^{-8}$ bar, setting the upper pressure boundary where aerosols could exist. Then, we combine HELIOS and Pyrat Bay radiative-transfer models to constrain the temperature and photospheric pressure of atmospheric aerosols, in a Bayesian framework. For WASP-49b, we constrain the transmission photosphere (hence, the aerosol deck boundaries) to pressures above $10^{-5}$ bar (100$\times$ solar metallicity), $10^{-4}$ bar (solar), and $10^{-3}$ bar (0.1$\times$ solar) as lower boundary, and below $10^{-7}$ bar as upper boundary. Lastly, we compare condensation curves of aerosol compounds with the planet's pressure-temperature profile to identify plausible condensates responsible for the absorption. Under these circumstances, we find as candidates: Na$_{2}$S (at 100$\times$ solar metallicity); Cr and MnS (at solar and 0.1$\times$ solar); and forsterite, enstatite, and alabandite (at 0.1$\times$ solar).
description: Accepted for publication in ApJ
Groundwater permit trading and potential groundwater saving in Kansas
Creators: name: Ha, Sang Su
name: Sampson, Gabriel
name: Min, Doohong
name: Ha, Sang Su
name: Sampson, Gabriel
name: Min, Doohong
Publisher: name: Unknown
Year: 2021
Subjects: Resource/Energy Economics and Policy
Environmental Economics and Policy
Agricultural and Food Policy

description: Presentation 21254
PM-FM transition in a DE model
Creators: name: Kogan, E.
name: Auslender, M.
Publisher: name: arXiv
Year: 2005
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We study paramagnetic - ferromagnetic transition due to exchange interaction between classical localized magnetic moments and conduction electrons. By solving the Dynamical Mean Field Approximation equations we find explicit formula for the transition temperature $T_c$ for arbitrary electron dispersion law, concentration and re lation between exchange coupling and the electron band width. We present the results of calculations of the $T_c$ for the semi-circular electron density of states.
description: 2 pages, latex, submitted for the SCES'05
Infinite Hierarchical MMSB Model for Nested Communities/Groups in Social Networks
Creators: name: Qirong  Ho
name: Ankur P. Parikh
name: Song, Le
name: Xing, Eric P.
Publisher: name: Carnegie Mellon University
Year: 2010
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Actors in realistic social networks play not one but a number of diverse roles depending on whom they interact with, and a large number of such role-specific interactions collectively determine social communities and their organizations. Methods for analyzing social networks should capture these multi-faceted rolespecific interactions, and, more interestingly, discover the latent organization or hierarchy of social communities. We propose a hierarchical Mixed Membership Stochastic Blockmodel to model the generation of hierarchies in social communities, selective membership of actors to subsets of these communities, and the resultant networks due to within- and cross-community interactions. Furthermore, to automatically discover these latent structures from social networks, we develop a Gibbs sampling algorithm for our model. We conduct extensive validation of our model using synthetic networks, and demonstrate the utility of our model in real-world datasets such as predator-prey networks and citation networks
High-pressure growth and characterization of bulk MnAs single crystals
Creators: name: Zhigadlo, Nikolai D.
Publisher: name: arXiv
Year: 2017
Subjects: subject: Materials Science (cond-mat.mtrl-sci)
subject: FOS: Physical sciences

description: Bulk single crystals of manganese arsenide (MnAs) were grown from melt at 1 GPa and 1100 °C by using a cubic-anvil, high-pressure, and high-temperature technique. The as-grown black colored crystals extracted from solidified lump exhibit a plate-like morphology, with flat surfaces and maximum dimensions up to ~ 3 x 2 x 0.5 mm3. The hexagonal crystal structure at room temperature was confirmed by X-ray diffraction [B81, space group P63/mmc, No 194, Z = 2, a = 3.7173(4) Å, b = 3.7173(4) Å, c = 5.7054(8) Å, and V = 68.277(16) Å3]. Temperature-dependent magnetization measurements reveal the occurrence of a first-order ferro- to paramagnetic transition at Tc = 318.5 K accompanied by a hysteresis of ~ 9 K. The successful growth of relatively large crystals reported here might be extended to various substituted analogues of MnAs, thus opening new possibilities for further exploration of this interesting system.
description: arXiv admin note: text overlap with arXiv:1705.10491
Estimating the Effects of Generic Advertising on Market Demand: An ADL Approach
Creators: name: Das, Abhipsita
name: Kinnucan, Henry W.
name: Das, Abhipsita
name: Kinnucan, Henry W.
Publisher: name: Unknown
Year: 2021
Subjects: subject: Marketing
subject: FOS: Economics and business
subject: Research Methods/Statistical Methods
subject: International Development

description: Presentation 20787
The power of the fourth state of matter: Advances in Cold plasma Application
Creators: name: Wu, Shuyan
Publisher: name: AgResearch
Year: 2024
Subjects: classificationCode: 3006
subject: Food sciences
classificationCode: 300605
subject: Food safety, traceability, certification and authenticity

description: Take-home note on Cold Plasma Technology: In short word, this is a technology cold to touch!Advantages:Low Temperature Prevents thermal damage to heat-sensitive materials, allowing for treatment of delicate surfaces.High Reactivity Generates reactive species that drive various chemical reactions efficiently.Energy Efficiency Selective energy transfer to electrons minimizes energy waste and improves process efficiency.Versatility Can be used in a wide range of applications across different industries.Title in Conference programme: Advances in Cold plasma Application for Food Safety and Preservation 
Additional file 1 of Effects of various artificial agarwood-induction techniques on the metabolome of Aquilaria sinensis
Creators: name: Zhang, Ningnan
name: Xue, Shiyu
name: Song, Jie
name: Zhou, Xiuren
name: Zhou, Dahao
name: Liu, Xiaojin
name: Hong, Zhou
name: Xu, Daping
Publisher: name: figshare
Year: 2021
Subjects: subject: Biochemistry
subject: Medicine
subject: Molecular Biology
subject: Pharmacology
subject: Biotechnology
subject: Environmental Sciences not elsewhere classified
subject: Chemical Sciences not elsewhere classified
subject: Ecology
subject: FOS: Biological sciences
subject: Cancer
subject: Plant Biology

description: Additional file 1: Figure S1. Principal component analysis based on ion intensity of the metabolites.
Individualized Bayesian Knowledge Tracing Models
Creators: name: Yudelson, Michael V.
name: Koedinger, Kenneth R
name: Gordon, Geoffrey J.
Publisher: name: Carnegie Mellon University
Year: 2013
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Bayesian Knowledge Tracing (BKT)[1] is a user modeling method extensively used in the area of Intelligent Tutoring Systems. In the standard BKT implementation, there are only skill-specific parameters. However, a large body of research strongly suggests that student-specific variability in the data, when accounted for, could enhance model accuracy [5,6,8]. In this work, we revisit the problem of introducing student-specific parameters into BKT on a larger scale. We show that student-specific parameters lead to a tangible improvement when predicting the data of unseen students, and that parameterizing students’ speed of learning is more beneficial than parameterizing a priori knowledge.
The influences of extreme weather stress and water quality on the evaluation of beef carcass
Creators: name: Ha, Sang Su
name: Min, Doohong
name: Dahlke, Garland
name: Ha, Sang Su
name: Min, Doohong
name: Dahlke, Garland
Publisher: name: Unknown
Year: 2021
Subjects: subject: Marketing
subject: FOS: Economics and business
subject: Agribusiness
subject: Production Economics

description: Presentation 21258
Landau-Ginzburg Description of Boundary Critical Phenomena in Two Dimensions
Creators: name: Cappelli, A.
name: D'Appollonio, G.
name: Zabzine, M.
Publisher: name: arXiv
Year: 2003
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Condensed Matter (cond-mat)
subject: FOS: Physical sciences

description: The Virasoro minimal models with boundary are described in the Landau-Ginzburg theory by introducing a boundary potential, function of the boundary field value. The ground state field configurations become non-trivial and are found to obey the soliton equations. The conformal invariant boundary conditions are characterized by the reparametrization-invariant data of the boundary potential, that are the number and degeneracies of the stationary points. The boundary renormalization group flows are obtained by varying the boundary potential while keeping the bulk critical: they satisfy new selection rules and correspond to real deformations of the Arnold simple singularities of A_k type. The description of conformal boundary conditions in terms of boundary potential and associated ground state solitons is extended to the N=2 supersymmetric case, finding agreement with the analysis of A-type boundaries by Hori, Iqbal and Vafa.
description: 42 pages, 13 figures
Longer run effects of one-time subsidy on adoption of a new agricultural technology: Evidence from a randomized control trial in Uganda
Creators: name: SHAH, MRUNAL
name: Ricker-Gilbert, Jacob
name: Omotilewa, Oluwatoba J.
name: SHAH, MRUNAL
name: Ricker-Gilbert, Jacob
name: Omotilewa, Oluwatoba J.
Publisher: name: Unknown
Year: 2021
Subjects: International Development
Research Methods/Statistical Methods
Risk and Uncertainty

description: Presentation 21214
Kramers Kronig PAM transceiver and two-sided polarization-multiplexed Kramers Kronig transceiver
Creators: name: Antonelli, Cristian
name: Mecozzi, Antonio
name: Shtaif, Mark
Publisher: name: arXiv
Year: 2017
Subjects: subject: Signal Processing (eess.SP)
subject: FOS: Electrical engineering, electronic engineering, information engineering

description: We propose two transceiver schemes based on Kramers Kronig (KK) detection. One targets low-cost high-throughput applications and uses PAM transmission in combination with direct detection and digital reconstruction of the optical phase. This scheme allows digital compensation of chromatic dispersion and provides a significant improvement in terms of spectral efficiency, compared to conventional PAM transmission. The second scheme targets high-channel-count coherent systems with the aim of simplifying the receiver complexity by reducing the optical components count.
Solving the four-dimensional $NN-πNN$ equations for scalars below meson-production threshold
Creators: name: Phillips, D. R.
name: Afnan, I. R.
Publisher: name: arXiv
Year: 1996
Subjects: subject: Nuclear Theory (nucl-th)
subject: FOS: Physical sciences

description: The four-dimensional $NN-πNN$ equations are adapted to the case of scalar particles with a $ϕ^2σ$ interaction Lagrangian, and solved for energies below the $σ$-production threshold. This is achieved in the approximation where $ϕσ$ scattering is dominated by the $s$-channel $ϕ$-pole term. The importance of the removal of double-counting is investigated, and a detailed comparison of the results of a covariant coupled-channels formulation and the Bethe-Salpeter equation in the ladder and ladder plus crossed-box approximations is presented. A brief discussion of the extension of the method to energies above the $σ$-production threshold is given.
description: 23 pages, RevTeX, 17 encapsulated postscript files included, manuscript uses BoxedEPS.tex
Poststarburst Models of LINERs
Creators: name: Taniguchi, Yoshiaki
name: Shioya, Yasuhiro
name: Murayama, Takashi
Publisher: name: arXiv
Year: 2000
Subjects: subject: Astrophysics (astro-ph)
subject: FOS: Physical sciences

description: Since the discovery of low-ionization nuclear emission-line regions in many galaxies (LINERs), it has been recognized that they constitute a class of active galactic nuclei (AGNs) which are thought to be powered by gas accretion onto a central, supermassive black hole. LINERs are observed in approximately one third of galaxies in the local universe and it has been often thought that they harbor an AGN-like central engine with moderate activity. However, some LINERs show no direct evidence for AGNs such as broad emission lines, radio jets, hard X-ray emission, spectral energy distributions which are inconsistent with starlight, and so on. For such LINERs (a subset of type 2 LINERs), we present new poststarburst models which explain some of their most important optical narrow emission-line ratios. In these models, the ionization sources are planetary nebula nuclei (PNNs) with temperature of ~ 10^5 K which appear in the late-phase evolution of intermediate-mass stars with mass between ~ 3 M_solar and ~ 6 M_solar. Such PNNs left in a typical starburst nucleus can produce an Halpha luminosity of L(Halpha) ~ 10^38 ergs s^-1 for typical poststarburst LINERs and ~ 10^39 ergs s^-1 only in exceptionally bright cases. The PNN phase lasts until the death of the lowest-mass stars formed in the starburst, which is ~ 5 x 10^8 yr for an assumed lower limit of the initial mass function of 3 M_solar. This long duration appears consistent with the observed higher frequency of occurrence of LINERs if every galaxy could experience the starburst activity several times in its life. We therefore propose that some LINERs which show no direct evidence for AGNs may be poststarburst nuclei powered by a cluster of PNNs.
description: 8 pages, 6 figures, emulateapj.sty; To appear in the September 2000 issue of the Astronomical Journal
Effects of social norm and educational interventions on household organics recycling: Evidence from two alternative curbside organics recycling programs
Creators: name: Heshmatpour, Masoumeh
name: Peterson, Hikaru Hanawa
name: Heshmatpour, Masoumeh
name: Peterson, Hikaru Hanawa
Publisher: name: Unknown
Year: 2021
Subjects: subject: Marketing
subject: FOS: Economics and business
subject: Research Methods/Statistical Methods
subject: Environmental Economics and Policy

description: Presentation 21115
Balanced truncation and singular perturbation approximation model order reduction for stochastically controlled linear systems
Creators: name: Redmann, Martin
name: Freitag, Melina A.
Publisher: name: Weierstrass Institute
Year: 2016
Subjects: subject: model order reduction
subject: balanced truncation
subject: singular perturbation approximation
subject: stochastic systems
subject: Lévy process
subject: Gramians
subject: Lyapunov equations
subject: 93A15
subject: 93A30
subject: 15A24

description: When solving linear stochastic differential equations numerically, usually a high order spatial discretisation is used. Balanced truncation (BT) and singular perturbation approximation (SPA) are well-known projection techniques in the deterministic framework which reduce the order of a control system and hence reduce computational complexity. This work considers both methods when the control is replaced by a noise term. We provide theoretical tools such as stochastic concepts for reachability and observability, which are necessary for balancing related model order reduction of linear stochastic differential equations with additive Lévy noise. Moreover, we derive error bounds for both BT and SPA and provide numerical results for a specific example which support the theory.
Crop Insurance, Futures Prices, and Commercial Trader Positions in Agricultural Futures Markets
Creators: name: Adjemian, Michael K.
name: Le, Han
name: Robe, Michel A.
name: Adjemian, Michael K.
name: Le, Han
name: Robe, Michel A.
Publisher: name: Unknown
Year: 2021
Subjects: subject: Risk and Uncertainty
subject: Marketing
subject: FOS: Economics and business
subject: Agricultural and Food Policy

description: Presentation 21226
Incorporating Vector Space Similarity in Random Walk Inference over Knowledge Bases
Creators: name: Gardner, Matt
name: Partha Pratim Talukdar
name: Jayant  Krishnamurthy
name: Mitchell, Tom
Publisher: name: Carnegie Mellon University
Year: 2014
Subjects: subject: 170203 Knowledge Representation and Machine Learning
subject: FOS: Psychology

description: Much work in recent years has gone into the construction of large knowledge bases (KBs), such as Freebase, DBPedia, NELL, and YAGO. While these KBs are very large, they are still very incomplete, necessitating the use of inference to fill in gaps. Prior work has shown how to make use of a large text corpus to augment random walk inference over KBs. We present two improvements to the use of such large corpora to augment KB inference. First, we present a new technique for combining KB relations and surface text into a single graph representation that is much more compact than graphs used in prior work. Second, we describe how to incorporate vector space similarity into random walk inference over KBs, reducing the feature sparsity inherent in using surface text. This allows us to combine distributional similarity with symbolic logical inference in novel and effective ways. With experiments on many relations from two separate KBs, we show that our methods significantly outperform prior work on KB inference, both in the size of problem our methods can handle and in the quality of predictions made.