Chinese Postgraduate Education Reform: Transition From Academical to Professional

A transition from leaping type growth to stable development has happened during the last 10 years of Chinese postgraduate education, but the growth of scale is still rising rapidly. Expansion of scale brings up a series of problems need to be solved, in which the most prominent problem is excessively focusing on academical postgraduate education and ignoring the training of professional postgraduate at the same time. This paper is aimed at clarifying the development trend of postgraduate education in China from academical to professional, and tries to explore the direction for further reform

A fluorescent immunosensor on optical fibre for the multiplex detection of proinflammatory cytokines

Cytokines are typical mediators of the immune response. Single cytokine measurement is unable to reflect the true complexity of these physiological processes and multiplex detection is required. In this work, we developed an optical fibre based biosensor for multiplex detection of cytokines. This multiplex biosensor has been successfully applied for the measurement of proinflammatory cytokines interleukin-1β (IL-1β), interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) in the linear range of 12.5–200 pg mL−1 with the limit of detection (LOD) of 12.5 pg mL−1. Additionally, it has compatible performance with ELISA kit for the monitoring of cytokines from rat PBMC cell culture mediums stimulated by LPS or UV radiation. Moreover, this universal platform could be applied for multiplex detection of other proteins by simply changing the capture/detection antibody pairs. This fibre based multiplex biosensor is designed for in-situ measurement of target cytokines, which is significant for the investigation of inflammatory processes or disease prognosis and treatment monitoring

Referring Expression Comprehension: A Survey of Methods and Datasets

Referring expression comprehension (REC) aims to localize a target object in an image described by a referring expression phrased in natural language. Different from the object detection task that queried object labels have been pre-defined, the REC problem only can observe the queries during the test. It thus more challenging than a conventional computer vision problem. This task has attracted a lot of attention from both computer vision and natural language processing community, and several lines of work have been proposed, from CNN-RNN model, modular network to complex graph-based model. In this survey, we first examine the state of the art by comparing modern approaches to the problem. We classify methods by their mechanism to encode the visual and textual modalities. In particular, we examine the common approach of joint embedding images and expressions to a common feature space. We also discuss modular architectures and graph-based models that interface with structured graph representation. In the second part of this survey, we review the datasets available for training and evaluating REC systems. We then group results according to the datasets, backbone models, settings so that they can be fairly compared. Finally, we discuss promising future directions for the field, in particular the compositional referring expression comprehension that requires longer reasoning chain to address.Comment: Accepted to IEEE TM

Stability of peakons and periodic peakons for a nonlinear quartic Camassa-Holm equation

In this paper, we study the orbital stability of peakons and periodic peakons for a nonlinear quartic Camassa-Holm equation (QCHE).We first verify that the QCHE has global peakon and periodic peakon solutions. Then by the invariants of the equation and controlling the extrema of the solution, we prove that the shapes of the peakons and periodic peakons are stable under small perturbations in the energy space