347 research outputs found
Game Model for “Shortage of Logistics” in Online Shopping in Service Engineering
AbstractThis paper analyzes the imbalance between e-commerce and logistics service by using factor sub-game perfect Nash equilibrium as an analytical tool from the view of system and links up the bargaining process between sellers and express enterprise involved in service engineering during online shopping with discount factor. The change of interests between sellers and express enterprise is systematically analyzed from the perspective of discount factor on the equilibrium solution through the application of model towards service engineering during holidays online shopping. Finally it is concluded that discount factor is a key factor influencing the express fee between sells and express enterprise in logistic system, and some recommendations are put forward accordingly
Adversarial Curriculum Graph Contrastive Learning with Pair-wise Augmentation
Graph contrastive learning (GCL) has emerged as a pivotal technique in the
domain of graph representation learning. A crucial aspect of effective GCL is
the caliber of generated positive and negative samples, which is intrinsically
dictated by their resemblance to the original data. Nevertheless, precise
control over similarity during sample generation presents a formidable
challenge, often impeding the effective discovery of representative graph
patterns. To address this challenge, we propose an innovative framework:
Adversarial Curriculum Graph Contrastive Learning (ACGCL), which capitalizes on
the merits of pair-wise augmentation to engender graph-level positive and
negative samples with controllable similarity, alongside subgraph contrastive
learning to discern effective graph patterns therein. Within the ACGCL
framework, we have devised a novel adversarial curriculum training methodology
that facilitates progressive learning by sequentially increasing the difficulty
of distinguishing the generated samples. Notably, this approach transcends the
prevalent sparsity issue inherent in conventional curriculum learning
strategies by adaptively concentrating on more challenging training data.
Finally, a comprehensive assessment of ACGCL is conducted through extensive
experiments on six well-known benchmark datasets, wherein ACGCL conspicuously
surpasses a set of state-of-the-art baselines
Differential miRNA expression in Rehmannia glutinosa plants subjected to continuous cropping
<p>Abstract</p> <p>Background</p> <p>The productivity of the medicinally significant perennial herb <it>Rehmannia glutinosa </it>is severely affected after the first year of cropping. While there is some information available describing the physiological and environmental causes of this yield decline, there is as yet no data regarding the changes in gene expression which occur when the species is continuously cropped.</p> <p>Results</p> <p>Using a massively parallel (Solexa) DNA sequencing platform, it was possible to identify and quantify the abundance of a large number of <it>R. glutinosa </it>miRNAs. We contrasted the miRNA content of first year crop plants with that of second year crop ones, and were able to show that of 89 conserved (belonging to 25 families) and six novel miRNAs (six families), 29 of the former and three of the latter were differentially expressed. The three novel miRNAs were predicted to target seven genes, and the 29 conserved ones 308 genes. The potential targets of 32 of these differentially expressed miRNAs involved in the main transcription regulation, plant development and signal transduction. A functional analysis of the differentially expressed miRNAs suggested that several of the proposed targets could be directly or indirectly responsible for the development of the tuberous root.</p> <p>Conclusion</p> <p>We have compared differential miRNAs expression in the first year crop (FP) <it>R. glutinosa </it>plants and second year crop (SP) ones. The outcome identifies some potential leads for understanding the molecular basis of the processes underlying the difficulty of maintaining the productivity of continuously cropped <it>R. glutinosa</it>.</p
With Brexit, inward investment will fall in the UK
Supply chains cross borders many times before components go into a final product in any EU country, write David Bailey, Nigel Driffield and Michail Karoglo
Extended Wiener-Khinchin theorem for quantum spectral analysis
The classical Wiener-Khinchin theorem (WKT), which can extract spectral
information by classical interferometers through Fourier transform, is a
fundamental theorem used in many disciplines. However, there is still need for
a quantum version of WKT, which could connect correlated biphoton spectral
information by quantum interferometers. Here, we extend the classical WKT to
its quantum counterpart, i.e., extended WKT (e-WKT), which is based on
two-photon quantum interferometry. According to the e-WKT, the
difference-frequency distribution of the biphoton wavefunctions can be
extracted by applying a Fourier transform on the time-domain Hong-Ou-Mandel
interference (HOMI) patterns, while the sum-frequency distribution can be
extracted by applying a Fourier transform on the time-domain NOON state
interference (NOONI) patterns. We also experimentally verified the WKT and
e-WKT in a Mach-Zehnder interference (MZI), a HOMI and a NOONI. This theorem
can be directly applied to quantum spectroscopy, where the spectral correlation
information of biphotons can be obtained from time-domain quantum interferences
by Fourier transform. This may open a new pathway for the study of light-matter
interaction at the single photon level.Comment: 13 pages, 5 figure
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