cometadata/datacite-rtg-text-other-reclassification-records huggingface dataset:
Проблема демократизации стран Центральной Азии в политике США
Creators: name: Сайдуллаева Наргиз
Publisher: name: Постсоветские исследования
Year: 2018
Subjects: КАЗАХСТАН
СНГ
ДЕМОКРАТИЗАЦИЯ
РЕФОРМЫ
США
СОТРУДНИЧЕСТВО

description: Ключевое влияние на глобальную американскую стратегию оказывают демократизация общества и защита прав человека, которая также активно применяется США в качестве основополагающих принципов развития. Это связано с тем, что демократия, по мнению американского правительства один из важнейших критериев развитого государства, а также существования бесконфликтного социума. Как процесс развития государства, демократизация является средством трансформации в обществе, его совершенствования и гармонизации. Данный процесс оказывает влияние на политическую систему в США, что в свою очередь, отражается на позиции государства на мировой арене, его внешнеполитического курса. Процесс демократизации в Центральной Азии имеет существенные отличия, зависящие от обычаев, традиций, исторических и идеологических особенностей. Возможности для развития и продвижения демократии в центральноазиатском обществе связаны с уровнем экономического развития государств, а также степенью их интеграции в мировое сообщество. В ходе исследования автор применял ряд методов политической и исторической наук. В частности, метод политанализа и исторической компаративистики.
A Possible Solution to the $B\to ππ$ Puzzle Using the Principle of Maximum Conformality
Creators: name: Qiao, Cong-Feng
name: Zhu, Rui-Lin
name: Wu, Xing-Gang
name: Brodsky, Stanley J.
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: High Energy Physics - Experiment (hep-ex)
subject: FOS: Physical sciences

description: The measured $B_d \to π^0π^0$ branching fraction deviates significantly from conventional QCD predictions, a puzzle which has persisted for more than 10 years. This may be a hint of new physics beyond the Standard Model; however, as we shall show in this paper, the pQCD prediction is highly sensitive to the choice of the renormalization scales which enter the decay amplitude. In the present paper, we show that the renormalization scale uncertainties for $B\to ππ$ can be greatly reduced by applying the Principle of Maximum Conformality (PMC), and more precise predictions for CP-averaged branching ratios ${\cal B}(B\toππ)$ can be achieved. Combining the errors in quadrature, we obtain ${\cal B}(B_{d}\to π^0π^0)|_{\rm PMC} = \left(0.98^{+0.44}_{-0.31}\right) \times10^{-6}$ by using the light-front holographic low-energy model for the running coupling. All of the CP-averaged $B\toππ$ branching fractions predicted by the PMC are consistent with the Particle Data Group average values and the recent Belle data. Thus, the PMC provides a possible solution for the $B_d \to π^0π^0$ puzzle.
description: Comments: 7 pages, 1 figure, to be published at Phys.Lett.B
Identifying a bath-induced Bose liquid in interacting spin-boson models
Creators: name: Cai, Zi
name: Schollwock, Ulrich
name: Pollet, Lode
Publisher: name: arXiv
Year: 2014
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We study the ground state phase diagram of a one-dimensional hard-core bosonic model with nearest-neighbor interactions (XXZ model) where every site is coupled Ohmically to an independent but identical reservoir, hereby generalizing spin-boson models to interacting spin-boson systems. We show that a bath-induced Bose metal phase can occur in the ground state phase diagram away from half filling. This phase is compressible, gapless, and conducting but not superfluid. At haf-filling, only a Luttinger liquid and a charge density wave are found. The phase transition between them is of Kosterlitz-Thouless type where the Luttinger parameter takes a non-universal value.The applied quantum Monte Carlo method can be used for all open bosonic and unfrustrated spin systems, regardless of their dimension, filling factor and spectrum of the dissipation as long as the quantum system couples to the bath via the density operators.
Several self-adaptive inertial projection algorithms for solving split variational inclusion problems
Creators: name: Zhou, Zheng
name: Tan, Bing
name: Li, Songxiao
Publisher: name: arXiv
Year: 2020
Subjects: subject: Optimization and Control (math.OC)
subject: Numerical Analysis (math.NA)
subject: Functional Analysis (math.FA)
subject: FOS: Mathematics
subject: 47H05, 49J40, 65K10, 65Y10

description: This paper is to analyze the approximation solution of a split variational inclusion problem in the framework of infinite dimensional Hilbert spaces. For this purpose, several inertial hybrid and shrinking projection algorithms are proposed under the effect of self-adaptive stepsizes which does not require information of the norms of the given operators. Some strong convergence properties of the proposed algorithms are obtained under mild constraints. Finally, an experimental application is given to illustrate the performances of proposed methods by comparing existing results.
III Reunión de Coordinación de las Redes LILACS y BVS: 2017 – LILACS-Express: revisión e indización de registros por los CC
Creators: name: BIREME/OPS/OMS
name: Suga, Sueli Mitiko Yano
Publisher: name: Zenodo
Year: 2017
Subjects: LILACS database
LILACS network coordination
LILACS methodology

description: Sesión 03 | 06 de junio 2017 Tema: Revisión e indización de registros con status LILACS-Express Página de las reuniones: http://lilacs.bvsalud.org/es/2017/05/...
Ситуация в Ферганской долине и её влияние на внешнюю политику России в Кыргызстане
Creators: name: Цездоев Рамазан Магомедович
Publisher: name: Постсоветские исследования
Year: 2018
Subjects: ФЕРГАНСКАЯ ДОЛИНА
ГРАНИЦЫ
МЕЖЭТНИЧЕСКИЙ КОНФЛИКТ
ВОЕННАЯ БАЗА

description: В статье рассматривается этнотерриториальные проблемы в Ферганской долине, история их возникновения, а также роль и место этой территории в двусторонних отношениях России и Кыргызстана и в региональной политике России. Автор делает вывод, что конфликты, возникающие в Ферганской долине, могут в дальнейшем стать источником дисбаланса в регионе, из-за высокой опасности разворачивающихся в Ферганской долине событий и постепенного вовлечения исламистских сил в борьбу на данной территории. При работе автор применял следующие методы: историко-аналитический, этнографический и метод политического анализа.
Analysis Ready Data (ARD) for Detecting Urban Gentrification: Current Capabilities and Challenges
Creators: name: WILMAN VLACH
name: Lin, Li
name: Liping Di
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: The growing abundance of remote sensing data has led to increased challenges in accessing, integrating, and efficiently analyzing geospatial information. To address this issue, the concept of Analysis Ready Data (ARD) has emerged, offering a solution that requires minimal user effort and promotes interoperability across time and different datasets by adhering to specific processing requirements. This research focuses on exploring the capabilities and limitations of ARD in detecting changes in urban land use and land cover, with a particular emphasis on urban gentrification. A use case was developed to identify gentrification patterns using remote sensing time series and machine learning algorithms. The training dataset comprised Landsat ARD and Sentinel ARD acquired from USGS and ESA, respectively, spanning the years 2013 to 2022. Initial processing involved extracting pixels within the area of interest based on building footprints from 2013. Quality assurance procedures were then applied to retain only clear and reliable pixels. The resulting data was organized as a space-time cube spanning the years 2013 to 2022. Temporal changes were subsequently cross-referenced with construction permits to track the development of new buildings. These findings were utilized as training data for a machine learning program designed to identify gentrification patterns based on land changes in other regions. The study reveals that ARD significantly streamlines the preprocessing phase, although obtaining accurate time labels for each pixel remains a challenging aspect.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Moderate deviations and Strassen's law for additive processes
Creators: name: Kühn, Franziska
name: Schilling, René L.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Probability (math.PR)
subject: FOS: Mathematics
subject: 60F10, 60F17, 60G51, 60G17

description: We establish a moderate deviation principle for processes with independent increments under certain growth conditions for the characteristics of the process. Using this moderate deviation principle, we give a new proof for Strassen's functional law of the iterated logarithm. In particular, we show that any square-integrable Lévy process satisfies Strassen's law.
Social surveys to support personal experience in human-water-climate change interactions. A review on farmers' behaviour
Creators: name: Ricart, S.
name: Castelletti, A.
Publisher: name: Zenodo
Year: 2021

description: Water resources management and climate change represent two necessarily interdisciplinary topics in which the natural and social sciences must be integrated [1]. Although this nexus was generally overlooked in the accurate statistics and modelling literature by mostly focusing on understanding the natural processes, a paradigm shift is required to put social in the modelling loop [2]. Consequently, water domains (physical, social, political, and symbolic matters) should be entwined in research configurations by considering social learning, personal experience, observations, and human choices. As argued by [3], deepen social perception is fundamental for two main reasons: as a key component of the socio-political context and as the first step for behaviour transformation and attitude change. In this line, social and behavioural sciences have discussed associative processing methods, such as social surveys, to monitor the nature, extent, significance, and influence of personal experience regarding human-nature interactions [4]. Farmers develop their activity supporting the complexity of interrelated nature and human systems characterized by biophysical conditions and social behaviour [5]. Consequently, farmers are in a favourable position to provide first-hand observations and narratives of water resources availability and climate change perceived impacts [6]. Could social surveys contribute to deepening farmers’ behaviour on water supply and climate change impacts while providing new social scenarios to advance understanding of data-mining, processing, and modelling of human-water systems? This contribution provides an upgraded and comprehensive overview of the social surveys added-value in building a methodological approach and defining an intellectual structure to monitoring farmers’ behaviour on water-climate change nexus. The literature review will provide new insides to be discussed for policy formulation and implementation at the local and the regional scale. [1] G. Escribano-Francés, P. Quevauviller, E. San Martín González, and E. Vargas Amelin, Environmental Science and Policy 69, 1 (2017) [2] M. Giuliani, A. Castelletti, and C. Gandolfi, Water Resources Research 52: 6928 (2016) [3] L. Antronico, R. Coscarelli, F. De Pascale, and D. Di Matteo, Sustainability 12: 6985 (2020) [4] J.R. Marlon, S. van der Linden, P. Howe, A. Leiserowitz, S.H.L, Woo, and K. Broad, Journal of Risk Research 22: 936 (2018) [5] M. Abid, J. Scheffran, U.A. Schneider, and E. Elahi, Environmental Management 63: 110 (2019) [6] K. Talanow, E.N. Topp, J. Loos, and B. Martin-Lopez, Journal of Rural Studies 81: 203 (2021)
Signal of Right-Handed Charged Gauge Bosons at the LHC?
Creators: name: Deppisch, Frank F.
name: Gonzalo, Tomas E.
name: Patra, Sudhanwa
name: Sahu, Narendra
name: Sarkar, Utpal
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: We point out that the recent excess observed in searches for a right-handed gauge boson W_R at CMS can be explained in a left-right symmetric model with D parity violation. In a class of SO(10) models, in which D parity is broken at a high scale, the left-right gauge symmetry breaking scale is naturally small, and at a few TeV the gauge coupling constants satisfy g_R ~ 0.6 g_L. Such models therefore predict a right-handed charged gauge boson W_R in the TeV range with a suppressed gauge coupling as compared to the usually assumed manifest left-right symmetry case g_R = g_L. The recent CMS data show excess events which are consistent with the cross section predicted in the D parity breaking model for 1.9 TeV < M_{W_R} < 2.4 TeV. If the excess is confirmed, it would in general be a direct signal of new physics beyond the Standard Model at the LHC. A TeV scale W_R would for example not only rule out SU(5) grand unified theory models. It would also imply B-L violation at the TeV scale, which would be the first evidence for baryon or lepton number violation in nature and it has strong implications on the generation of neutrino masses and the baryon asymmetry in the Universe.
description: 4 pages, 2 figures, matches published version
MaaSSim -- agent-based two-sided mobility platform simulator
Creators: name: Kucharski, Rafał
name: Cats, Oded
Publisher: name: arXiv
Year: 2020
Subjects: subject: Multiagent Systems (cs.MA)
subject: Physics and Society (physics.soc-ph)
subject: FOS: Computer and information sciences
subject: FOS: Physical sciences

description: Two-sided mobility platforms, such as Uber and Lyft, widely emerged in the urban mobility landscape, bringing disruptive changes to transportation systems worldwide. This calls for a simulation framework where researchers from various and across disciplines may introduce models aimed at representing the dynamics of platform-driven urban mobility systems. In this work, we present MaaSSim, an agent-based simulator reproducing the transport system used by two kind of agents: (i) travellers, requesting to travel from their origin to destination at a given time, and (ii) drivers supplying their travel needs by offering them rides. An intermediate agent, the platform, allows demand to be matched with supply. Agents are decision makers, specifically, travellers may decide which mode they use or reject an incoming offer. Similarly, drivers may opt-out from the system or reject incoming requests. All of the above behaviours are modelled through user-defined modules, representing agents' taste variations (heterogeneity), their previous experiences (learning) and available information (system control). MaaSSim is an open-source library available at a public repository github.com/RafalKucharskiPK/MaaSSim, along with a set of tutorials and reproducible use-case scenarios.
Automated in-season crop-type data layer mapping without ground truth for the contiguous US
Creators: name: RYAN HONG
name: Li, Hui
name: Liping Di
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: The use of modern technology, such as machine learning, has ushered in a modern agricultural revolution, significantly enhancing crop yields, efficiency, and nutritional quality. To fully capitalize on these advancements, real-time crop mapping becomes crucial, enabling data-driven decisions on a large scale for sustainable agriculture. Although the US government's agro-geoinformatics data, they are only available after the growing season. Therefore, this study aimed to develop an in-season Cropland Data Layer (ICDL) for the contiguous United States, making use of trusted pixels. The process involved combining Landsat 8-9 and Sentinel 2 data to form a mosaic, followed by training a supervised classification model using random forest. This approach was applied to each state, and the resulting in-season maps were merged to create the final map. The accuracy of the ICDL was validated against CDL and ground-truth data, as well as NASS statistics report data. These products were also made freely accessible to the public through iCrop. In assessing corn and soybean fields in Nebraska and Iowa, F1-scores of (0.911, 0.845) and (0.959, 0.969) were achieved by the end of July 2022, respectively. The ICDL facilitates simple estimation of crop acreage without extensive surveying and can also provide real-time information to farmers so that they can make informed decisions on logistics, harvest, irrigation, and fertilizer use.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
title: Allegory and dream vision in The City of Ladies (c.1405), by Christine de Pizan (1364- 1430)
Creators: name: Alarcão, Miguel
Publisher: name: CICS.NOVA, Faculdade de Ciências Sociais e Humanas, Universidade NOVA de Lisboa / Húmus
Year: 2022

description: Retrato por Miguel Alarcão sobre esta escritora francesa de ascendência italiana Christine de Pizan (1364-1430).
description: Alarcão, M. (2022). Allegory and dream vision in The City of Ladies (c. 1405), by Christine de Pizan (1364-1430). Faces de Eva. Estudos sobre a Mulher, (48), 189-200. https://doi.org/10.34619/bkc9-2z4v | ISSN: 0874-6897
An inclusion-exclusion principle for tautological sheaves on Hilbert schemes of points
Creators: name: Hu, Xiaowen
Publisher: name: arXiv
Year: 2021
Subjects: subject: Algebraic Geometry (math.AG)
subject: FOS: Mathematics

description: We show an equation of Euler characteristics of tautological sheaves on Hilbert schemes of points on the fibers of a double point degeneration. This equation resembles a computation of such Euler characteristics via a combinatorial inclusion-exclusion principle. As a consequence, we show the existence of universal polynomials for the Euler characteristics of tautological sheaves on the Hilbert scheme of points on smooth proper algebraic spaces. We apply this result to a conjecture of Zhou on tautological sheaves on Hilbert schemes of points, and reduce the conjecture to the cases of products of projective spaces. Our main tools are good degenerations and algebraic cobordism.
description: Final version. Typos and notations corrected
Smooth Spline-based Trajectory Planning for Semi-Rigid Multi-Robot Formations
Creators: name: Recker, Tobias
name: Lurz, Henrik
name: Raatz, Annika
Publisher: name: Piscataway, NJ : IEEE
Year: 2022
Subjects: subject: Computer aided software engineering
subject: Automation
subject: Trajectory planning
subject: Trajectory
subject: Synchronization
subject: Mobile robots
subject: Iterative methods
subject: Dewey Decimal Classification::600 | Technik

description: This paper presents an approach for smooth trajectory planning in semi-rigid nonholonomic mobile robot formations using Bezier-splines. Unlike most existing approaches, the focus is on maintaining a semi-rigid formation, as required in many scenarios such as object transport, handling or assembly. We use a Relaxed A* planner to create an optimal collision-free global path and then smooth this path using splines. The smoothed global path serves to create target paths for every robot in the formation. From these paths, we then calculate the trajectories for each robot. In an iterative process, we match the velocities of the robots so that all trajectories are synchronized, and the dynamic limits of all robots are maintained. We provide experimental validation, which confirms no violation of the dynamic limits and shows an excellent control performance for a system of three robots moving at 0.3 m/s.
Characterization of quasiholes in fractional Chern insulators
Creators: name: Liu, Zhao
name: Bhatt, R. N.
name: Regnault, Nicolas
Publisher: name: arXiv
Year: 2014
Subjects: subject: Strongly Correlated Electrons (cond-mat.str-el)
subject: FOS: Physical sciences

description: We provide a detailed study of the Abelian quasiholes of $ν=1/2$ bosonic fractional quantum Hall states on the torus geometry and in fractional Chern insulators. We find that the density distribution of a quasihole in a fractional Chern insulator can be related to that of the corresponding fractional quantum Hall state by choosing an appropriate length unit on the lattice. This length unit only depends on the lattice model that hosts the fractional Chern insulator. Therefore, the quasihole size in a fractional Chern insulator can be predicted for any lattice model once the quasihole size of the corresponding fractional quantum Hall state is known. We discuss the effect of the lattice embedding on the quasihole size. We also perform the braiding of quasiholes for fractional Chern insulator models to probe the fractional statistics of these excitations. The numerical values of the braiding phases accurately match the theoretical predictions.
description: 8 pages, 7 figures, published version
Республика Казахстан и Республика Индонезия. Двустороннее сотрудничество близких по духу партнеров
Creators: name: Куклин Никита Сергеевич
Publisher: name: Постсоветские исследования
Year: 2018
Subjects: ИНДОНЕЗИЯ
КАЗАХСТАН
ДВУСТОРОННИЕ ОТНОШЕНИЯ
НАЦИОНАЛЬНЫЕ ИНТЕРЕСЫ

description: Вот уже более 20 лет Индонезия и Казахстан поддерживают прочные отношения, основанные на постоянно развивающемся сотрудничестве. Географически удаленность не сказывается при этом на «родственности» этих стран как акторов на международной арене. Оба государства обладают внушительной экономической базой, сильным человеческим потенциалом и являются лидерами в своих регионах, активно принимая участие в интеграционных процессах, формирующих облик геополитического пространства. В статье ставится задача осмысления текущего этапа двусторонних отношений Индонезии и Казахстана и выявления перспектив их дальнейшего развития.
HYSCORES : Cartographies hyperspectrales appliquées aux écosystèmes coralliens et à leur état de santé.
Creators: name: Ropert, Michel
name: Mouquet, Pascal
name: Bajjouk, Touria
name: Delacourt, Christophe
Publisher: name: Ifremer
Year: 2016
Subjects: Océan Indien
La Réunion
récifs coralliens
télédétection
hyperspectral
imagerie
cartographie
indicateur
vitalité corallienne
recouvrements
algue
corail
sable
herbier

description: En 2013, les résultats des travaux menés dans le cadre des projets "Spectrhabent-OI" (2009-2012), étendus au projet "Bioindication" (2012-2013) ont permis d'illustrer le potentiel important représenté par les nouvelles techniques d'imagerie aérienne hyperspectrale appliquées sur les plateformes récifales de l'île de La Réunion. L'objectif principal du projet HYSCORES (2015-2016) est de consolider ces premiers résultats dans une perspective de mise en œuvre opérationnelle de ces nouvelles méthodes dans le cadre de la DCE (directive-cadre européenne sur l’eau (2000/60/CE)). Pour cela 3 axes de recherche sont proposés : 1) l’étude et l'évaluation de la pertinence de l'indicateur VCH (vitalité corallienne hyperspectrale) proposé en 2012 ; 2) la capacité de l'indicateur à mettre en évidence une évolution de l'état global entre 2009 et 2015 ; 3) mieux cerner et quantifier les moyens et les ressources nécessaires à la mise en œuvre de ces nouvelles techniques en routine. Le projet s'appuie pour cela sur une nouvelle campagne d'acquisition de données brutes hyperspectrales réalisée en 2015 et couvrant les 4 principaux récifs frangeants de La Réunion.
Ce rapport final présente le projet et ses objectifs dans leur globalité. Il détaille l'ensemble des méthodologies mises en œuvre dans le cadre des traitements numériques et décrit les résultats produits. Il s'attache également à l'analyse des résultats de la campagne 2015 HYSCORES en regard des résultats antérieurs (Spectrhabent-OI / BioIndication). A travers une analyse diachronique il confirme et illustre l'intérêt de ces nouvelles techniques pour évaluer les changements (gains et pertes) tant pour la Vitalité Corallienne Hyperspectrale (VCH) que pour le recouvrement corallien en général.
Ce travail ouvre également sur de nouvelles perspectives en termes d'Indices (types coralliens par exemple) susceptibles de venir compléter la VCH dans le cadre de l'évaluation de l'Etat des plateformes récifales.
L'ensemble des données et des résultats produits sont diffusés librement à travers les portails Sextant océan Indien et Archimer.
Academic Research Competitiveness: Theorizing and Operationalizing a New Research Evaluation Framework
Creators: name: Melkers, Julia
Publisher: name: Zenodo
Year: 2022

description: An important product of this study is the development of a multidimensional framework for academic research competitiveness. The framework goes beyond the usual consideration of grant dollars the primary indicator of competitiveness, as it articulates the context and multiple factors that contribute to enhanced capacity to acquire resources in a competitive environment. The examples of the NSF EPSCoR and NSF CoPes programs illustrate these embedded complexities, laying the ground work for the development of improved metrics that account for the complex and varied contexts in which scientific research takes place.
Transfer Learning for Crop Type Classification: The Agricultural Breakthrough with AI
Creators: name: HAMZA FARHAN
name: Liping Di
name: Zhang, Chen
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: In the rapidly evolving field of remote sensing, transfer learning has emerged as a transformative force, revolutionizing precision agriculture with unparalleled efficacy. Applying transfer learning in remote-sensing-based crop type classification and mapping stands to revolutionize global food production, garnering recognition and accolades in the realm of science, technology, engineering, and mathematics (STEM). This paper reviews groundbreaking research that showcases the exceptional potential of transfer learning technology to improve crop type mapping, agricultural productivity, and sustainable crop yield. The AI/machine learning (ML) models that have been trained on a large dataset for a specific task also known as pre-trained classifiers, has been utilized through various convolutional neural networks (CNNs) models, such as VGG16, GoogLeNet, SqueezeNet, and Dense-EfficientNet, adapting for crop type mapping. This study achieves significant results in crop type mapping through high-resolution drone and satellite imagery. Furthermore, the application of transfer learning extends to crop yield estimation, disease detection, crop field delineation, and crop phenotyping, propelling agricultural practices towards unprecedented accuracy. Innovative domain adaptation techniques and self-supervised pre-training strategies significantly enhance the model's ability to generalize and perform effectively across different geographic locations for crop classification. The result shows spatio-temporal transferability has significantly enhanced through transfer learning methods, which suggests the great potential in crop type classification and remote sensing applications. This research not only empowers end-users and stakeholder farmers with timely and accurate agro-geoinformation but also tackles the pressing challenge of limited labeled data for the AI/ML model to reuse existing models, reducing the need for large amounts of agro-geoinformation crop data, allowing the new model to make crop type mapping more feasible, and cost-effective.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Polariton lasing and energy-degenerate parametric scattering in non-resonantly driven coupled planar microcavities
Creators: name: Sawicki, Krzysztof
name: Sturges, Thomas J.
name: Ściesiek, Maciej
name: Kazimierczuk, Tomasz
name: Sobczak, Kamil
name: Golnik, Andrzej
name: Pacuski, Wojciech
name: Suffczyński, Jan
Publisher: name: arXiv
Year: 2021
Subjects: subject: Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
subject: Optics (physics.optics)
subject: FOS: Physical sciences

description: Multi-level exciton-polariton systems offer an attractive platform for studies of non-linear optical phenomena. However, studies of such consequential non-linear phenomena as polariton condensation and lasing in planar microcavities have so far been limited to two-level systems, where the condensation takes place in the lowest attainable state. Here, we report non-equilibrium Bose-Einstein condensation of exciton-polaritons and low threshold, dual-wavelength polariton lasing in vertically coupled, double planar microcavities. Moreover, we find that the presence of the non-resonantly driven condensate triggers interbranch exciton-polariton transfer in the form of energy-degenerate parametric scattering. Such an effect has so far been observed only under excitation that is strictly resonant in terms of the energy and incidence angle. We describe theoretically our time-integrated and time-resolved photoluminescence investigations by a set of rate equations involving an open-dissipative Gross-Pitaevskii equation. Our platform's inherent tunability is promising for construction of planar lattices, enabling three-dimensional polariton hopping and realization of photonic devices, such as two-qubit polariton-based logic gates.
description: 8 pages, 5 figures
title: Diniz, D., Gebara, I. (2022). Esperança feminista (1ª Ed.). Rio de Janeiro: Rosa dos Tempos, 254 pp. ISBN 978-65.8982-806-8
Creators: name: Guevara, María de los Angeles Arias
name: Vaccaro, Stefania Becattini
Publisher: name: CICS.NOVA, Faculdade de Ciências Sociais e Humanas, Universidade NOVA de Lisboa / Edições Húmus
Year: 2022

description: Recensão do livro Esperança Feminista, por María de los Angeles Arias Guevara e Stefania Becattini Vaccaro.
description: Guevara, María de los Angeles Arias, & Vaccaro, Stefania Becattini. (2022). Diniz, D., & Gebara, I. (2022). Esperança feminista. Rosa dos Tempos, 1ª edición, (254 pp.). Faces de Eva. Estudos sobre a Mulher, (48), 201-208. https://doi.org/10.34619/yzvo-iixk | ISSN: 0874-6898
A Holographic Bound on Cosmic Magnetic Fields
Creators: name: McInnes, Brett
Publisher: name: arXiv
Year: 2014
Subjects: subject: High Energy Physics - Theory (hep-th)
subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: General Relativity and Quantum Cosmology (gr-qc)
subject: High Energy Physics - Phenomenology (hep-ph)
subject: FOS: Physical sciences

description: Magnetic fields large enough to be observable are ubiquitous in astrophysics, even at extremely large length scales. This has led to the suggestion that such fields are seeded at very early (inflationary) times, and subsequently amplified by various processes involving, for example, dynamo effects. Many such mechanisms give rise to extremely large magnetic fields at the end of inflationary reheating, and therefore also during the quark-gluon plasma epoch of the early universe. Such plasmas have a well-known holographic description in terms of a thermal asymptotically AdS black hole. We show that holography imposes an upper bound on the intensity of magnetic fields ($\approx \; 3.6 \times 10^{18}\;\; \text{gauss}$ at the hadronization temperature) in these circumstances; this is above, but not far above, the values expected in some models of cosmic magnetogenesis.
description: 16 pages, 2 figures, explicit numerical value given for the bound, improved discussion of implications for superadiabatic amplification, version to appear in Nucl Phys B
Sugarcane Identification using Linear Time Weighted Cosine regression and One-class Support Vector Machine
Creators: name: CLAIRE GUO
name: Li, Hui
name: Liping Di
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: In-season crop classification through remote sensing time series data has proven effective in classifying in-season crop types during their specific growing periods. However, confusing patterns and spectral data result when confronted with crops such as sugarcane, exhibiting varying growth seasons. This issue was further compounded by the Cropland Data Layer (CDL) created by the United States Department of Agriculture (USDA), which only provided post-season crop maps that are often published too late to be practically useful. To address these challenges, this work aimed to construct a transfer learning workflow, utilizing Florida sugarcane samples to identify other growing sugarcane such as Louisiana. The training dataset used incorporated burning sugarcane samples from Palm Beach County, Florida, and Sentinel-2 satellite time series NDVI data. A Linear Time Weighted Cosine (LTWC) regression model was then applied in order to transfer the NDVI series into regression curves, where the coefficients represented sugarcane phenological features. Subsequently, a One-class Support Vector Machine (SVM) was trained using the coefficient dataset to classify sugarcane in Florida and Louisiana. The results demonstrated accuracies comparable to those of the CDL but with the significant advantage of being published at least six months earlier. Furthermore, with the fine-tuning of SVM kernel parameters, the model’s application can then be applied to other countries such as Brazil. Validation of the results will be performed using ground truth samples obtained from both photographs and historical images from Google Earth. Overall, this study presents an option to address the challenges posed by variable growth seasons in crop classification through remote sensing and machine learning, with potential applications in other sugarcane regions worldwide.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
A Rule Based Machine Learning Approach to Vegetation Classification using Remote Sensing Data
Creators: name: ARAN PANDEY
name: Md. Didarul, Islam
name: Liping Di
Publisher: name: Journal of Student-Scientists' Research
Year: 2023

description: The field of Vegetation Classification and Mapping is of paramount importance for monitoring vegetation levels, but has unfortunately resulted in trivial accuracy. Although Vegetation Mapping through the usage of Remote Sensing data has proven to be an effective tool, Vegetation Classification has struggled to be accurate as the traditional parametric Vegetation Classification methods are ineffective. This research proposes to utilize Machine Learning to classify vegetation by utilizing vegetation indices, Sentinel 2 and GEDI relative height data. A problem faced by Machine Learning models in Vegetation Classification is the inefficiency of manually collecting training data. However, this research proposes to incorporate rule based automated training data to feed to the machine learning model, rather than traditionally generating training samples manually. The spectral bands in Sentinel 2 data are utilized to accurately calculate vegetation indices, which are used as parts of the training data. Moreover, Sentinel 2 data can fill gaps in GEDI shots, generating additional training data. The high accuracy score of the model’s ability to calculate vegetation height and subsequently use it classify vegetation is demonstrative of the importance of Machine Learning with vegetation classification. Additionally, the model has the capability of reducing external weather conditions from cluttering it, making it extremely useful for future work. Ultimately, this research suggests for further investigation of Vegetation Classification using Machine Learning as a viable methodology.
description: Journal of Student-Scientists' Research, Vol. 5 (2023)
Республика Казахстан и европейский союз: характер и особенности энергетического сотрудничества
Creators: name: Макенова Асия Базаровна
Publisher: name: Постсоветские исследования
Year: 2018
Subjects: КАЗАХСТАН
ЕВРОСОЮЗ
ЭНЕРГЕТИЧЕСКОЕ СОТРУДНИЧЕСТВО

description: Казахстан, являющийся богатым нефтегазовым и другим сырьевым ресурсам, определяется Евросоюзом как стратегически важным государством в Центральной Азии. Если в 1990-х гг. ЕС занимал позицию главных инвесторов в качестве ТНК в нефтегазовых месторождениях Казахстана, то сегодня Евросоюз теряет свою значимость в условиях конкуренций с Россией и Китаем. Европейский союз постепенно теряет активы в главных нефтегазовых месторождениях и трубопроводах в Каспийском регионе. В связи с возникшими проблемами разрабатывается новая энергетическая политика ЕС. В статье анализируется тенденция развития энергетического сотрудничества Республики Казахстан и Евросоюза. Выделена особенность энергетической политики Казахстана в 1990-е годы и 2000-х гг. Анализированы основные внешнеполитические документы, определяющие энергетические отношения РК и ЕС. Используя структурный метод анализ при написании настоящей статьи, автор опирался на следующую методологическую основу: либеральные концепции в изучении экономических отношений, теории неореализма в определении идеологии ЕС, геополитические теории для выявления детерминирующих факторов сотрудничества.
Beyond the Dichotomy: How Ride-hailing Competes with and Complements Public Transport
Creators: name: Cats, Oded
name: Kucharski, Rafał
name: Danda, Santosh Rao
name: Yap, Menno
Publisher: name: arXiv
Year: 2021
Subjects: subject: Physics and Society (physics.soc-ph)
subject: Computers and Society (cs.CY)
subject: FOS: Physical sciences
subject: FOS: Computer and information sciences

description: Since ride-hailing has become an important travel alternative in many cities worldwide, a fervent debate is underway on whether it competes with or complements public transport services. We use Uber trip data in six cities in the United States and Europe to identify the most attractive public transport alternative for each ride. We then address the following questions: (i) How does ride-hailing travel time and cost compare to the fastest public transport alternative? (ii) What proportion of ride-hailing trips that do not have a viable public transport alternative? (iii) How does ride-hailing change overall service accessibility? (iv) What is the relation between demand share and relative competition between the two alternatives?
 Our findings suggest that the dichotomy - competing with or complementing - is false. Though the vast majority of ride-hailing trips have a viable public transport alternative, between 20% and 40% of them have no viable public transport alternative. The increased service accessibility attributed to the inclusion of ride-hailing is greater in our US cities than in their European counterparts. Demand split is directly related to the relative competitiveness of travel times i.e. when public transport travel times are competitive ride-hailing demand share is low and vice-versa.
О проблемах сотрудничества в сфере высокоскоростных железных дорог между КНР и странами Центральной Азии
Creators: name: Ван Сяолинь
Publisher: name: Постсоветские исследования
Year: 2018
Subjects: ОДИН ПОЯС И ОДИН ПУТЬ
ЭКОНОМИЧЕСКИЙ ПОЯС ШЁЛКОВОГО ПУТИ
ЕВРАЗИЙСКИЙ ЭКОНОМИЧЕСКИЙ СОЮЗ
СТРАНЫ ЦЕНТРАЛЬНОЙ АЗИИ
ВЫСОКОСКОРОСТНЫЕ ЖЕЛЕЗНЫЕ ДОРОГИ КИТАЯ
СОПРЯЖЕНИЕ

description: Ещё в династии Западной Хань Китай открыл древний Шёлковый путь, и это сыграло значительную роль в торгово-экономическом и культурном обмене между Востоком и Западом. А теперь всем странам, которые испытали финансовый кризис 2008 г., предстоит экономическое восстановление. При всё более сложной международной обстановке и замедлении мирового экономического роста Китай выдвинул политическую инициативу «один пояс и один путь» и также активно содействует её проведению. Китай стремится найти новую модель международного сотрудничества. Теперь на новом Шёлковом пути находятся страны Центральной Азии, и им очень нужен международный торговый обмен с другими странами. Всем известно, что для торгового обмена прежде всего необходимо удобное транспортное сообщение. А теперь в деле строительства транспортных инфраструктур страны Центральной Азии относительно остаются. В технологии по высокоскоростным железным дорогам Китай уже вышел на мировой передовой уровень, что предоставляет возможность и условия сотрудничеству Китая со странами Центральной Азии в сфере высокоскоростных железных дорог. Китай выходит с передовыми технологиями на внешние рынки. В данной работе в основном обсуждаем значение и перспективы высокоскоростного железнодорожного сотрудничества между Китаем и странами Центральной Азии и анализируем возникающие проблемы и риски в процессе сотрудничества. Кроме того, ещё целесообразно говорим о «Экономическом поясе Шёлкового пути» и «Евразийском экономическом союзе».
Особенности подготовки и функционирования политико-административной элиты Кыргызстана
Creators: name: Казак Кызы Нургуль
Publisher: name: Постсоветские исследования
Year: 2018
Subjects: ПОЛИТИЧЕСКАЯ И АДМИНИСТРАТИВНАЯ ЭЛИТА
ГОСУДАРСТВЕННАЯ СЛУЖБА
МОДЕЛИ ГОСУДАРСТВЕННОЙ СЛУЖБЫ
ТИПЫ ГОСУДАРСТВЕННОЙ СЛУЖБЫ
ГОСУДАРСТВЕННАЯ ПОЛИТИКА В СФЕРЕ ГОСУДАРСТВЕННОЙ СЛУЖБЫ
МЕРИТОКРАТИЯ

description: В статье раскрываются понятие «политико-административная элита», модели эффективного государственного управления, а также типы государственной службы. Актуальность темы связана с анализом зарубежного опыт подготовки и функционирования политико-административной элиты, который необходим в процессе формирования отечественной (кыргызстанской) модели эффективного государственного управления. В статье отмечается, что основой государственной службы должна стать система, основанная на личных заслугах государственного служащего.
Факторы, детерминирующие перманентную нестабильность на Украине
Creators: name: Курылев Константин Петрович
Publisher: name: Постсоветские исследования
Year: 2018
Subjects: УКРАИНА
КРИЗИС
РАЗОБЩЕННОСТЬ
НЕСТАБИЛЬНОСТЬ

description: 21 ноября 2017 г. исполнилось три года с того момента как в центре Киева стартовала массовая многомесячная акция протеста. Она началась в ответ на приостановку президентом В. Януковичем подписания соглашения об ассоциации между Украиной и Евросоюзом. Данная акция была поддержана выступлениями населения в других городах Украины. Эти события, принявшие со временем форму вооруженного противостояния, сопровождавшегося захватом административных зданий, в конечном итоге привели к государственному перевороту 21 февраля 2014 г. и захвату власти в стране националистами-радикалами. С тех пор украинский кризис прочно занял ведущие позиции среди проблем, решение которых оказывает непосредственное влияние на европейскую безопасность и всю систему международных отношений. Кризис со всей очевидностью вскрыл несовершенство действующей в Европе системы безопасности, основанной на доминирующей роли НАТО и периферийности российского фактора. Для Украины события конца 2013 начала 2014 гг. стали переломными, рухнула прежняя внешнеполитическая концепция и утвердилась новая, альтернативная по сути. Страна в течение всего постсоветского периода, балансировавшая между Россией и Западом, резко изменила вектор своей внешней политики и взяла четкий евроатлантический курс. Что повлекло за собой геополитическую декомпозицию Украины, и погрузило ее в пучину гражданской войны. Анализу факторов, обусловивших кризис на Украине, посвящена настоящая статья. Автор рассматривает исторический, экономический, этноконфессиональный, геополитический факторы, детерминировавшие перманентную нестабильность в украинском государстве, используя метод системного анализа, историко-аналитический и политико-аналитический методы.
The 1% Concordance Hubble Constant
Creators: name: Bennett, C. L.
name: Larson, D.
name: Weiland, J. L.
name: Hinshaw, G.
Publisher: name: arXiv
Year: 2014
Subjects: subject: Cosmology and Nongalactic Astrophysics (astro-ph.CO)
subject: FOS: Physical sciences

description: The determination of the Hubble constant has been a central goal in observational astrophysics for nearly 100 years. Extraordinary progress has occurred in recent years on two fronts: the cosmic distance ladder measurements at low redshift and cosmic microwave background (CMB) measurements at high redshift. The CMB is used to predict the current expansion rate through a best-fit cosmological model. Complementary progress has been made with baryon acoustic oscillation (BAO) measurements at relatively low redshifts. While BAO data do not independently determine a Hubble constant, they are important for constraints on possible solutions and checks on cosmic consistency. A precise determination of the Hubble constant is of great value, but it is more important to compare the high and low redshift measurements to test our cosmological model. Significant tension would suggest either uncertainties not accounted for in the experimental estimates, or the discovery of new physics beyond the standard model of cosmology. In this paper we examine in detail the tension between the CMB, BAO, and cosmic distance ladder data sets. We find that these measurements are consistent within reasonable statistical expectations, and we combine them to determine a best-fit Hubble constant of 69.6+/-0.7 km/s/Mpc. This value is based upon WMAP9+SPT+ACT+6dFGS+BOSS/DR11+H_0/Riess; we explore alternate data combinations in the text. The combined data constrain the Hubble constant to 1%, with no compelling evidence for new physics.
description: 9 pages, 4 figures, v2 reformatted in emulateapj, updated to match accepted version
title: Collins, P. H., Bilges, S. (2021). Interseccionalidade. Boitempo, 287 pp. ISBN 978-65-5717-029-8 (capa pintura) ISBN 978-65-5717-051-9 (capa bordado)
Creators: name: Assis, Zamira de
Publisher: name: CICS.NOVA, Faculdade de Ciências Sociais e Humanas, Universidade NOVA de Lisboa/ Edições Húmus
Year: 2022

description: Recensão do livro Interseccionalidades, por Zamira de Assis.
description: Assis, Z. de (2022). Collins, P. H., & Bilges, S. (2021). Interseccionalidade. Boitempo, (287 pp.). Faces de Eva. Estudos sobre a Mulher, (48), 209-212.https://doi.org/10.34619/nryd-y4mi | ISSN: 0874-6885