45 research outputs found
Study on Behavior Value Analysis and Decision Methodology of Grid Corporations in China
Based on grid corporations, business environment and value characteristics in China, the article analyzes its behavior value factors, and then divides its behavior into three categories: the behavior only affecting the current Economic Value Added(EVA), the behavior affecting both the current and future EVA, and the behavior only affecting future EVA. Finally, the article studies such corporations, behavior value decision making based upon analyses and classifications above
Modeling Multi-aspect Preferences and Intents for Multi-behavioral Sequential Recommendation
Multi-behavioral sequential recommendation has recently attracted increasing
attention. However, existing methods suffer from two major limitations.
Firstly, user preferences and intents can be described in fine-grained detail
from multiple perspectives; yet, these methods fail to capture their
multi-aspect nature. Secondly, user behaviors may contain noises, and most
existing methods could not effectively deal with noises. In this paper, we
present an attentive recurrent model with multiple projections to capture
Multi-Aspect preferences and INTents (MAINT in short). To extract multi-aspect
preferences from target behaviors, we propose a multi-aspect projection
mechanism for generating multiple preference representations from multiple
aspects. To extract multi-aspect intents from multi-typed behaviors, we propose
a behavior-enhanced LSTM and a multi-aspect refinement attention mechanism. The
attention mechanism can filter out noises and generate multiple intent
representations from different aspects. To adaptively fuse user preferences and
intents, we propose a multi-aspect gated fusion mechanism. Extensive
experiments conducted on real-world datasets have demonstrated the
effectiveness of our model
Searching for Majorana Neutrinos at a Same-Sign Muon Collider
Majorana properties of neutrinos have long been a focus in the pursuit of
possible new physics beyond the standard model, which has motivated lots of
dedicated theoretical and experimental studies. A future same-sign muon
collider is an ideal platform to search for Majorana neutrinos through the
Lepton Number Violation process. Specifically, this t-channel kind of process
is less kinematically suppressed and has a good advantage in probing Majorana
neutrinos at high mass regions up to 10 TeV. In this paper, we perform a
detailed fast Monte Carlo simulation study through examining three different
final states: 1) pure-leptonic state with electrons or muons, 2) semi-leptonic
state, and 3) pure-hadronic state in the resolved or merged categories.
Furthermore, we perform a full simulation study on the pure-leptonic final
state to validate our fast simulation results.Comment: 15 pages, 8 figure
Nanoscale pore characteristics of the Jurassic Dongyuemiao member lacustrine shale, Eastern Sichuan Basin, SW China: Insights from SEM, NMR, LTNA, and MICP experiments
The Jurassic Dongyuemiao Member is the most promising target for lacustrine shale gas exploration in Sichuan Basin. By integrating SEM, NMR, LTNA, and MICP experiments, and other basic measurements, the nanoscale pore category and structure and the corresponding controlling factors of Dongyuemiao lacustrine shale in Eastern Sichuan Basin are studied. The results denote that organic pores comprise primary pores within plant debris and secondary pores within bitumen. Inorganic pores are composed of intraparticle pores within calcite particles, intercrystalline pores between pyrite crystals, and interparticle pores between different minerals. The 4th Section lacustrine shale of Dongyuemiao Member has the best pore structure, exhibiting high organic pore proportion, large amounts of gas adsorption, and parallel plate-shaped pore morphology. Micropores (<2 nm) are the main contributors of the pore volume and surface area of Dongyuemiao lacustrine shale. Moreover, the enrichment of organic matter positively affects the formation of micropores and has no influence on the mesopore–macropore (>2 nm). Quartz does not significantly affect the nanoscale pore formation. The intraparticle pores within calcite particles constitute part of mesopore–macropore but not micropores. Clay minerals are conducive to the formation of micropores but play a negative role in the formation of mesopore–macropore
Minimizing the programming power of phase change memory by using graphene nanoribbon edge-contact
Nonvolatile phase change random access memory (PCRAM) is regarded as one of
promising candidates for emerging mass storage in the era of Big Data. However,
relatively high programming energy hurdles the further reduction of power
consumption in PCRAM. Utilizing narrow edge-contact of graphene can effectively
reduce the active volume of phase change material in each cell, and therefore
realize low-power operation. Here, we demonstrate that a write energy can be
reduced to about ~53.7 fJ in a cell with ~3 nm-wide graphene nanoribbon (GNR)
as edge-contact, whose cross-sectional area is only ~1 nm2. It is found that
the cycle endurance exhibits an obvious dependence on the bias polarity in the
cell with structure asymmetry. If a positive bias was applied to graphene
electrode, the endurance can be extended at least one order longer than the
case with reversal of polarity. The work represents a great technological
advance for the low power PCRAM and could benefit for in-memory computing in
future.Comment: 14 pages, 4 figure
Pre‐symptomatic transmission of novel coronavirus in community settings
We used contact tracing to document how COVID‐19 was transmitted across 5 generations involving 10 cases, starting with an individual who became ill on January 27. We calculated the incubation period of the cases as the interval between infection and development of symptoms. The median incubation period was 6.0 days (interquartile range, 3.5‐9.5 days). The last two generations were infected in public places, 3 and 4 days prior to the onset of illness in their infectors. Both had certain underlying conditions and comorbidity. Further identification of how individuals transmit prior to being symptomatic will have important consequences.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/163478/2/irv12773.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/163478/1/irv12773_am.pd
Study on Behavior Value Analysis and Decision Methodology of Grid Corporations in China
Based on grid corporations, business environment and value characteristics in China, the article analyzes its behavior value factors, and then divides its behavior into three categories: the behavior only affecting the current Economic Value Added(EVA), the behavior affecting both the current and future EVA, and the behavior only affecting future EVA. Finally, the article studies such corporations, behavior value decision making based upon analyses and classifications above
Analyzing The Value Drivers and Path Selection of Grid Corporations From the View of The Long-term Value
Based on the business characteristics and EVA, the paper develops an econometric model for the long-term value of grid corporations in China, and analyzes the value drivers and path selection correspondingly. The study shows that, the growing long-term value of grid corporations derives from the creation of future value, and the fundamental factor is an increase in investment. Grid corporations should target at investment management and capital optimization, realizing the goal of long-term value
Study on Behavior Value Analysis and Decision Methodology of Grid Corporations in China
Based on grid corporations, business environment and value characteristics in China, the article analyzes its behavior value factors, and then divides its behavior into three categories: the behavior only affecting the current Economic Value Added(EVA), the behavior affecting both the current and future EVA, and the behavior only affecting future EVA. Finally, the article studies such corporations, behavior value decision making based upon analyses and classifications above
Analyzing The Value Drivers and Path Selection of Grid Corporations From the View of The Long-term Value
Based on the business characteristics and EVA, the paper develops an econometric model for the long-term value of grid corporations in China, and analyzes the value drivers and path selection correspondingly. The study shows that, the growing long-term value of grid corporations derives from the creation of future value, and the fundamental factor is an increase in investment. Grid corporations should target at investment management and capital optimization, realizing the goal of long-term value