1,522 research outputs found
A scheme for tunable quantum phase gate and effective preparation of graph-state entanglement
A scheme is presented for realizing a quantum phase gate with three-level
atoms, solid-state qubits--often called artificial atoms, or ions that share a
quantum data bus such as a single mode field in cavity QED system or a
collective vibrational state of trapped ions. In this scheme, the conditional
phase shift is tunable and controllable via the total effective interaction
time. Furthermore, we show that the method can be used for effective
preparation of graph-state entanglement, which are important resources for
quantum computation, quantum error correction, studies of multiparticle
entanglement, fundamental tests of non-locality and decoherence.Comment: 7 pages, 5 figure
Industry’s going upstairs: The innovative usage of industrial land and evaluation of its economic effects
The concept of ‘Industry’s Going Upstairs (IGU)’ represents an
innovative usage of industrial land that transfers the enterprises’
production to high-rise industrial buildings. It is emerging in the
developed areas of eastern China. This study discusses IGU policies
to promote local economic development and conducts an
empirical test using Guangdong city-level data and a differencein-
differences model. Theoretical analysis shows that IGU can
broaden the development space of enterprises and realise industrial
and labour agglomeration under supporting policies provided
by local governments. The empirical results demonstrate that IGU
can improve land-use efficiency and promote local industrial
development. IGU is a feasible approach for addressing the current
shortage of industrial land in China and is worthy of promotion
and replication in other regions
Deep Descriptor Transforming for Image Co-Localization
Reusable model design becomes desirable with the rapid expansion of machine
learning applications. In this paper, we focus on the reusability of
pre-trained deep convolutional models. Specifically, different from treating
pre-trained models as feature extractors, we reveal more treasures beneath
convolutional layers, i.e., the convolutional activations could act as a
detector for the common object in the image co-localization problem. We propose
a simple but effective method, named Deep Descriptor Transforming (DDT), for
evaluating the correlations of descriptors and then obtaining the
category-consistent regions, which can accurately locate the common object in a
set of images. Empirical studies validate the effectiveness of the proposed DDT
method. On benchmark image co-localization datasets, DDT consistently
outperforms existing state-of-the-art methods by a large margin. Moreover, DDT
also demonstrates good generalization ability for unseen categories and
robustness for dealing with noisy data.Comment: Accepted by IJCAI 201
Effectiveness of Multiple Daily Injections or Continuous Subcutaneous Insulin Infusion for Children with Type 1 Diabetes Mellitus in Clinical Practice
Aims. To determine whether multiple daily injections (MDIs) or continuous subcutaneous insulin infusion (CSII) contributes to better glucose control in children with different type 1 diabetes duration. Methods. Subjects were grouped according to early (≤1 year after disease onset; 1A) or late (1–3 years after onset; 2A) MDIs/CSII treatment initiation. Corresponding control groups (1B, 2B) received insulin injections twice daily. Results. HbA1c levels were consistently lower in group 1A than in group 1B (6 months (T2): 7.37% versus 8.21%; 12 months (T3): 7.61% versus 8.41%; 24/36 months (T4/T5): 7.61% versus 8.72%; all P<0.05), but were lower in group 2A than in group 2B only at T2 (8.36% versus 9.19%; P=0.04). Levels were lower in group 1A than in group 2A when disease duration was matched (7.61% versus 8.49%; P<0.05). Logistic regression revealed no correlation between HbA1c level and MDIs/CSII therapy. HbA1c levels were only negatively related to insulin dosage. Conclusions. Blood glucose control was better in patients receiving MDIs/CSII than in those receiving conventional treatment. Early MDIs/CSII initiation resulted in prolonged maintenance of low HbA1c levels compared with late initiation. MDIs/CSII therapy should be combined with comprehensive management
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