Shanghai Jiao Tong University

About: Shanghai Jiao Tong University is a education organization based out in Shanghai, Shanghai, China. It is known for research contribution in the topics: Population & Cancer. The organization has 157524 authors who have published 184620 publications receiving 3451038 citations. The organization is also known as: Shanghai Communications University & Shanghai Jiaotong University.

Ultrathin PEGylated W18O49 Nanowires as a New 980 nm‐Laser‐Driven Photothermal Agent for Efficient Ablation of Cancer Cells In Vivo

Abstract: A new photothermal coupling agent for photothermal ablation (PTA) therapy of tumors is developed based on ultrathin PEGylated W18O49 nanowires. After being injected with the nanowire solution, the in vivo tumors exhibit a rapid temperature rise to 50.0 ± 0.5 °C upon irradiation with NIR laser light at a safe, low intensity (0.72 W cm(-2)) for 2 min (left-hand mouse in the figure),), resulting in the efficient PTA of cancer cells in vivo in 10 min.

Vertical recrystallization for highly efficient and stable formamidinium-based inverted-structure perovskite solar cells

Abstract: Formamidinium (FA)-based perovskite materials show an extended absorption spectrum to 840 nm, which enables high power conversion efficiencies of over 20% compared with normal-structure perovskite solar cells (PSCs). However, it is rarely possible to obtain high performance in inverted-structure PSCs owing to the unbalanced electron–hole transport properties. To achieve desirable electronic qualities in a FA perovskite film, it is necessary to substantially improve the crystallinity of the perovskite films. A new perovskite growth method is presented here using methylammonium chloride (MACl) to assist vertical recrystallization in a formamidinium perovskite film. The obtained film consists of highly crystallized vertically-orientated grains, which minimize the vertical grain boundary and trap site in the films, and later contribute to a power conversion efficiency above 20% in inverted-structure PSCs. Most importantly, the highly crystalline, phase-pure morphology and low MA content in formamidinium perovskite films can contribute to the light-soaking stability and thermal stability up to 500 h in solar-cell devices.

Spatio-Temporal AutoEncoder for Video Anomaly Detection

Abstract: Anomalous events detection in real-world video scenes is a challenging problem due to the complexity of "anomaly" as well as the cluttered backgrounds, objects and motions in the scenes. Most existing methods use hand-crafted features in local spatial regions to identify anomalies. In this paper, we propose a novel model called Spatio-Temporal AutoEncoder (ST AutoEncoder or STAE), which utilizes deep neural networks to learn video representation automatically and extracts features from both spatial and temporal dimensions by performing 3-dimensional convolutions. In addition to the reconstruction loss used in existing typical autoencoders, we introduce a weight-decreasing prediction loss for generating future frames, which enhances the motion feature learning in videos. Since most anomaly detection datasets are restricted to appearance anomalies or unnatural motion anomalies, we collected a new challenging dataset comprising a set of real-world traffic surveillance videos. Several experiments are performed on both the public benchmarks and our traffic dataset, which show that our proposed method remarkably outperforms the state-of-the-art approaches.

Robust Beamforming for Wireless Information and Power Transmission

Abstract: In this letter, we study the robust beamforming problem for the multi-antenna wireless broadcasting system with simultaneous information and power transmission, under the assumption of imperfect channel state information (CSI) at the transmitter. Following the worst-case deterministic model, our objective is to maximize the worst-case harvested energy for the energy receiver while guaranteeing that the rate for the information receiver is above a threshold for all possible channel realizations. Such problem is nonconvex with infinite number of constraints. Using certain transformation techniques, we convert this problem into a relaxed semidefinite programming problem (SDP) which can be solved efficiently. We further show that the solution of the relaxed SDP problem is always rank-one. This indicates that the relaxation is tight and we can get the optimal solution for the original problem. Simulation results are presented to validate the effectiveness of the proposed algorithm.