3,743 research outputs found
Research on Transforming Capability of Economic System and Its Impact on Urban Competitiveness
With rapid development of Internet, ICT-drive forces for stimulating productivity and economic growth are becoming hot issues nowadays. Chengdu, Chongqing, Xi’an and Kuming are representatives of advanced productivity in Southwest China. Digitalization of economic system in these cities has raised a topic of great importance regarding transforming capabilities on Internet. To accelerate transforming and to foster sustainable growth, the research moves beyond ICT adoption to explore internal factors to speed up transforming in economic systems of the four cities. Evaluation Framework of Transforming Capabilities (EFTC) and Fuzzy Comprehensive Evaluation Model (FCEM) are proposed, and empirical data of the observing cities’ during 2010-2015 has been collected. We further our research to the extent of internal regional economic system, and try to identify common factors in transforming based on industrial theory. Our research yields four findings. 1) Transforming capabilities range slightly in growth poles in South-west China; 2) New growth poles are shaping when economic society transforming on Internet; 3) Regions will face increasing pressure to develop on Internet;4) Internal industrial structure has dominant impact on transforming capabilities. Finally, we offer recommendations regarding accelerating economic system transforming on Internet
An Improved Multi-Stage Preconditioner on GPUs for Compositional Reservoir Simulation
The compositional model is often used to describe multicomponent multiphase
porous media flows in the petroleum industry. The fully implicit method with
strong stability and weak constraints on time-step sizes is commonly used in
the mainstream commercial reservoir simulators. In this paper, we develop an
efficient multi-stage preconditioner for the fully implicit compositional flow
simulation. The method employs an adaptive setup phase to improve the parallel
efficiency on GPUs. Furthermore, a multi-color Gauss-Seidel algorithm based on
the adjacency matrix is applied in the algebraic multigrid methods for the
pressure part. Numerical results demonstrate that the proposed algorithm
achieves good parallel speedup while yields the same convergence behavior as
the corresponding sequential version.Comment: 24 pages, 4 figures, and 8 tables. arXiv admin note: text overlap
with arXiv:2201.0197
Pattern transfer learning for reinforcement learning in order dispatching
Order dispatch is one of the central problems to ridesharing platforms. Recently, value-based reinforcement learning algorithms have shown promising performance to solve this task. However, in real-world applications, the demand-supply system is typically nonstationary over time, posing challenges to reutilizing data generated in different time periods to learn the value function. In this work, motivated by the fact that the relative relationship between the values of some states is largely stable across various environments, we propose a pattern transfer learning framework for value-based reinforcement learning in the order dispatch problem. Our method efficiently captures the value patterns by incorporating a concordance penalty. The superior performance of the proposed method is supported by experiments
CDR: Conservative Doubly Robust Learning for Debiased Recommendation
In recommendation systems (RS), user behavior data is observational rather
than experimental, resulting in widespread bias in the data. Consequently,
tackling bias has emerged as a major challenge in the field of recommendation
systems. Recently, Doubly Robust Learning (DR) has gained significant attention
due to its remarkable performance and robust properties. However, our
experimental findings indicate that existing DR methods are severely impacted
by the presence of so-called Poisonous Imputation, where the imputation
significantly deviates from the truth and becomes counterproductive.
To address this issue, this work proposes Conservative Doubly Robust strategy
(CDR) which filters imputations by scrutinizing their mean and variance.
Theoretical analyses show that CDR offers reduced variance and improved tail
bounds.In addition, our experimental investigations illustrate that CDR
significantly enhances performance and can indeed reduce the frequency of
poisonous imputation
SYNTHESIS OF CYCLOBUTANE ANALOGUES
2-(3-Acetyl-2,2-dimethylcyclobutyl)acetic acid (pinonic acid) was synthesized using α-pinene as raw material and potassium permanganate as oxidant. This compound reacted with substituted aniline to produce eight kinds of derivatives with cyclobutane moiety. The yields of the cyclobutane analogues ranged from 24.9 to 78.2 %.
KEY WORDS: Cyclobutane analogues, Pinonic acid, Oxidation
Bull. Chem. Soc. Ethiop. 2009, 23(1), 135-139
Quantum electric-dipole liquid on a triangular lattice
Geometric frustrations and quantum mechanical fluctuations may prohibit the
formation of long-range ordering even at the lowest temperature, and therefore
liquid-like ground states could be expected. A good example is the quantum spin
liquid in frustrated magnets that represents an exotic phase of matter and is
attracting enormous interests. Geometric frustrations and quantum fluctuations
can happen beyond magnetic systems. Here we propose that quantum
electric-dipole liquids, analogs to quantum spin liquids, could emerge in
frustrated dielectrics where antiferroelectrically coupled small electric
dipoles reside on a triangular lattice. The quantum paraelectric hexaferrite
BaFe12O19, in which small electric dipoles originated from the off-center
displacement of Fe3+ in the FeO5 bipyramids constitute a two-dimensional
triangular lattice, represents a promising candidate to generate the
anticipated electric-dipole liquid. We present a series of experimental
evidences, including dielectric permittivity, heat capacity, and thermal
conductivity measured down to 66 mK, to reveal the existence of a nontrivial
ground state in BaFe12O19, characterized by itinerant low-energy excitations
with a small gap, to which we interpret as an exotic liquid-like quantum phase.
The quantum electric-dipole liquids in frustrated dielectrics open up a fresh
playground for fundamental physics and may find applications in quantum
information and computation as well.Comment: 13 pages, 6 figure
ELECTROACUPUNCTURING AT ZUSANLI POINT (ST36) ATTENUATES PRO-INFLAMMATORY CYTOKINE RELEASE AND ORGAN DYSFUNCTION BY ACTIVATING CHOLINERGIC ANTI-INFLAMMATORY PATHWAY IN RAT WITH ENDOTOXIN CHALLENGE
To investigate the effect of electro-acupuncturing (EA), at Zusanli point (ST36) on plasma cytokine release and organ dysfunction and their mechanism in conscious rats with endotoxin challenge. EA at Zusanli points obviously lowered the elevated levels of plasma TNF-α, and attenuated changes in parameters relevant to various organ functions at 2 h after LPS challenge. ɑ-BGT injection or bilateral cervical vagotomy could weaken or eliminate the effects of EA, and further aggravated the elevated levels of pro-inflammatory cytokines and organ dysfunction. The results suggested that EA at Zusanli points significantly reduced the release of pro-inflammatory cytokines and organ dysfunction after LPS challenge by activating cholinergic anti-inflammatory pathway
Long-lived efficient delayed fluorescence organic light-emitting diodes using n-type hosts.
Organic light-emitting diodes have become a mainstream display technology because of their desirable features. Third-generation electroluminescent devices that emit light through a mechanism called thermally activated delayed fluorescence are currently garnering much attention. However, unsatisfactory device stability is still an unresolved issue in this field. Here we demonstrate that electron-transporting n-type hosts, which typically include an acceptor moiety in their chemical structure, have the intrinsic ability to balance the charge fluxes and broaden the recombination zone in delayed fluorescence organic electroluminescent devices, while at the same time preventing the formation of high-energy excitons. The n-type hosts lengthen the lifetimes of green and blue delayed fluorescence devices by > 30 and 1000 times, respectively. Our results indicate that n-type hosts are suitable to realize stable delayed fluorescence organic electroluminescent devices
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