Nanjing University of Information Science and Technology

About: Nanjing University of Information Science and Technology is a education organization based out in Nanjing, China. It is known for research contribution in the topics: Precipitation & Aerosol. The organization has 14129 authors who have published 17985 publications receiving 267578 citations. The organization is also known as: Nan Xin Da.

The Role of Typhoon Songda (2004) in Producing Distantly Located Heavy Rainfall in Japan

Abstract: When Typhoon Songda (2004) was located southeast of Okinawa over the western North Pacific during 2–4 September 2004, a heavy rainfall event occurred over southern central Japan and its adjacent seas, more than 1200 km from the typhoon center. The Advanced Research version of the Weather Research and Forecast (WRF-ARW) model was used to investigate the possible remote effects of Typhoon Songda on this heavy precipitation event in Japan. The National Centers for Environmental Prediction (NCEP) global final (FNL) analysis was used to provide both the initial and lateral boundary conditions for the WRF model. The model was initialized at 1800 UTC 2 September and integrated until 1800 UTC 6 September 2004, during which Songda was a supertyphoon. Two primary numerical experiments were performed. In the control experiment, a bogus vortex was inserted into the FNL analysis to enhance the initial storm intensity such that the model typhoon had an intensity that was similar to that observed at the initial...

Re-thinking Co-Salient Object Detection.

Abstract: Existing CoSOD datasets often have a serious data bias, assuming that each group of images contains salient objects of similar visual appearances. This bias can lead to the ideal settings and effectiveness of models trained on existing datasets, being impaired in real-life situations, where similarities are usually semantic or conceptual. To tackle this issue, we first introduce a new benchmark, called CoSOD3k in the wild, which requires a large amount of semantic context, making it more challenging than existing CoSOD datasets. Our CoSOD3k consists of 3,316 high-quality, elaborately selected images divided into 160 groups with hierarchical annotations. The images span a wide range of categories, shapes, object sizes, and backgrounds. Second, we integrate the existing SOD techniques to build a unified, trainable CoSOD framework, which is long overdue in this field. Specifically, we propose a novel CoEG-Net that augments our prior model EGNet with a co-attention projection strategy to enable fast common information learning. CoEG-Net fully leverages previous large-scale SOD datasets and significantly improves the model scalability and stability. Third, we comprehensively summarize 34 cutting-edge algorithms, benchmarking 16 of them over three challenging CoSOD datasets, and reporting group-level performance analysis. Finally, we discuss the challenges and future works of CoSOD.

Electrically Controllable Actuators Based on Supramolecular Peptide Hydrogels

Abstract: Hydrogel actuators that can undergo structural change upon external stimuli are highly demanded due to their potential applications in diverse fields. However, the actuators based on physically cross-linked supramolecular hydrogels are largely unexplored. This study reports the engineering of an electrically controllable supramolecular hydrogel as an actuator from a self-assembling short peptide, in which a catechol moiety is introduced as the stimuli-responsive motif. This kind of electrochemically responsive hydrogel is mechanically stable and can switch its physical properties dramatically upon the applied electric field. The mechanism and reversibility of the change are studied in detail. As a proof of principle, devices are designed to perform the unidirectional expansion and rotational motion under electrical stimulations. The applications of the actuators for controllable drug release and actuation of microfluidic devices are also illustrated. It is expected that these kind of supramolecular hydrogel actuators can find broad applications as novel biosensors, artificial robots, and smart soft materials.