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.

Recurrence of endometriosis and its control

Abstract: BACKGROUND Although surgery is currently the treatment of choice for managing endometriosis, recurrence poses a formidable challenge. To delay or to eliminate the recurrence is presently an unmet medical need in the management of endometriosis. To this end, proposals to investigate patterns of recurrence, to develop biomarkers for recurrence and to carry out biomarker-based intervention have been made. METHODS Publications pertaining to the recurrence of endometriosis and its related yet unaddressed issues were identified through MEDLINE. The reported recurrence rates, risk factors for recurrence, the effects of post-operative medication and causes of recurrence were reviewed and synthesized. In addition, several poorly explored issues such as time hazard function and mechanisms of recurrence were reviewed. Approaches to the development of biomarkers for recurrence and future intervention are discussed. RESULTS The reported recurrence rate was high, estimated as 21.5% at 2 years and 40-50% at 5 years. Few risk factors for recurrence have been consistently identified, and the evidence on the efficacy of the post-operative use of medication was scanty. The investigation on the patterns of recurrence may provide us with new insight into the possible mechanisms of recurrence and its control. The attempt to identify biomarkers for recurrence has started only very recently. CONCLUSIONS Much research is needed to better understand the patterns of recurrence and risk factors, and to develop biomarkers. One top priority is to develop biomarkers for recurrence, which may provide much needed clues to the possible mechanisms underlying recurrence and would allow the identification of patients with high recurrence risk, and permit for targeted intervention.

Dynamic visual attention: searching for coding length increments

Abstract: A visual attention system should respond placidly when common stimuli are presented, while at the same time keep alert to anomalous visual inputs. In this paper, a dynamic visual attention model based on the rarity of features is proposed. We introduce the Incremental Coding Length (ICL) to measure the perspective entropy gain of each feature. The objective of our model is to maximize the entropy of the sampled visual features. In order to optimize energy consumption, the limit amount of energy of the system is re-distributed amongst features according to their Incremental Coding Length. By selecting features with large coding length increments, the computational system can achieve attention selectivity in both static and dynamic scenes. We demonstrate that the proposed model achieves superior accuracy in comparison to mainstream approaches in static saliency map generation. Moreover, we also show that our model captures several less-reported dynamic visual search behaviors, such as attentional swing and inhibition of return.

Bication lead iodide 2D perovskite component to stabilize inorganic α-CsPbI 3 perovskite phase for high-efficiency solar cells

Abstract: Among various all-inorganic halide perovskites exhibiting better stability than organic-inorganic halide perovskites, α-CsPbI3 with the most suitable band gap for tandem solar cell application faces an issue of phase instability under ambient conditions We discovered that a small amount of two-dimensional (2D) EDAPbI4 perovskite containing the ethylenediamine (EDA) cation stabilizes the α-CsPbI3 to avoid the undesirable formation of the nonperovskite δ phase Moreover, not only the 2D perovskite of EDAPbI4 facilitate the formation of α-CsPbI3 perovskite films exhibiting high phase stability at room temperature for months and at 100°C for >150 hours but also the α-CsPbI3 perovskite solar cells (PSCs) display highly reproducible efficiency of 118%, a record for all-inorganic lead halide PSCs Therefore, using the bication EDA presents a novel and promising strategy to design all-inorganic lead halide PSCs with high performance and reliability