Results 71 to 80 of about 613,587 (145)
The study examines the digital finance (DF) and regional sustainable development (RSD) across 90 cities within six major city clusters in China over the period from 2011 to 2020.
Qiguang An +4 more
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Investigating the coupled and coordinated relationship among digital infrastructure (DI), economic resilience (ER) and carbon productivity (CP) is pivotal for advancing sustainable development in China.
Jie Huang +3 more
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Protocol for modulating anesthesia delta oscillations using closed loop auditory stimulation
IntroductionDelta waves (0.1–4 Hz) are a hallmark of unconsciousness in both sleep and general anesthesia (GA). Closed-loop auditory stimulation (CLAS) delivers brief sounds phase-locked to ongoing slow oscillations and can modulate slow-wave activity ...
Clara Pic Roca +19 more
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Decision Support System – a powerful tool that is present now in the most complex systems. Decision Support System should take into account the strength of the interaction with the student learning environment.
E. V. Kondratyonok, V. A. Kondratyonok
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Regional Development in Central and Eastern Europe
The aim of this article is to outline growth tendencies and growth factors in the subregions (NUTS 3) of Central and Eastern Europe in the period 1998–2006.
NUMER: 5(SPECIAL ISSUE)/2010 Maciej Smętkowski, Piotr Wójcik REGIONAL DEVELOPMENT IN CENTRAL AND EASTERN EUROPE Regional Development in Central and Eastern Europe The article was published in Polish in "Studia Regionalne i Lokalne", 4/2009 The aim of this article is to outline growth tendencies and growth factors in the subregions (NUTS 3) of Central and Eastern Europe in the period 1998–2006. A wide range of complementary research methods has been used in order to triangulate results, starting with classical beta and sigma convergence analysis, to kernel density estimation, transition matrices, spatial autocorrelation and multi-dimensional comparisons. Some rarely discussed aspects of the influence of capital regions on growth processes have been taken into account. An additional analysis of the data in relation to country averages produced results independent of the country context. As a result, we have been able to answer the following questions: do the analysed countries experience regional convergence or rather divergence/polarisation processes? What factors determine the dynamics of regional growth? What are the main dimensions of spatial disparities in Central and Eastern Europe? Słowa kluczowe: regional development, development factors, Central and Eastern Europe Regional Development in Central and Eastern Europe The aim of this article is to outline growth tendencies and growth factors in the subregions (NUTS 3) of Central and Eastern Europe in the period 1998–2006. A wide range of complementary research methods has been used in order to triangulate results, starting with classical beta and sigma convergence analysis, to kernel density estimation, transition matrices, spatial autocorrelation and multi-dimensional comparisons. Some rarely discussed aspects of the influence of capital regions on growth processes have been taken into account. An additional analysis of the data in relation to country averages produced results independent of the country context. As a result, we have been able to answer the following questions: do the analysed countries experience regional convergence or rather divergence/polarisation processes? What factors determine the dynamics of regional growth? What are the main dimensions of spatial disparities in Central and Eastern Europe? Słowa kluczowe: regional development, development factors, Central and Eastern Europe Afiliacja: Maciej Smętkowski +1 more
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Optimizing precision in quantum metrology through engineered environments. [PDF]
Berrada K.
europepmc +1 more source
Spatiotemporal patterns and typological differences in the development-protection nexus of resource-based cities in China. [PDF]
Ji L, Gao H, Chen L, Dong J.
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Re-weighted estimation of the transition probability density for second-order diffusion processes. [PDF]
Li Y, Wang Y, Tang M.
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Multiple model trajectory poisson multi-bernoulli mixtures filter for tracking multiple maneuvering objects. [PDF]
Salim I, Okasha N, Barbary M, Anis W.
europepmc +1 more source
Score matching the descriptor density of states for model-agnostic free energy estimation. [PDF]
Swinburne TD, Lapointe C, Marinica MC.
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