Energy-Guided Temporal Segmentation Network for Multimodal Human Action Recognition

To achieve the satisfactory performance of human action recognition, a central task is to address the sub-action sharing problem, especially in similar action classes. Nevertheless, most existing convolutional neural network (CNN)-based action recognition algorithms uniformly divide video into frames and then randomly select the frames as inputs, ignoring the distinct characteristics among different frames. In recent years, depth videos have been increasingly used for action recognition, but most methods merely focus on the spatial information of the different actions without utilizing temporal information. In order to address these issues, a novel energy-guided temporal segmentation method is proposed here, and a multimodal fusion strategy is employed with the proposed segmentation method to construct an energy-guided temporal segmentation network (EGTSN). Specifically, the EGTSN had two parts: energy-guided video segmentation and a multimodal fusion heterogeneous CNN. The proposed solution was evaluated on a public large-scale NTU RGB+D dataset. Comparisons with state-of-the-art methods demonstrate the effectiveness of the proposed network

Serum Sulfur-Containing Amino Acids and Risk of Maternal Gestational Diabetes and Adverse Growth Patterns in Offspring

Background: To estimate associations of sulfur-containing amino acids (SAAs) in the early trimester of pregnancy and gestational diabetes mellitus (GDM) and estimate associations of maternal SAAs with adverse growth patterns in offspring. Methods: We established a 1:1 matched case-control study (n = 486) from our cohort of pregnant women, and 401 children were followed up at ages 1 to 8 years. We conducted binary conditional logistic regression to estimate the risk associations of serum SAAs with GDM. Multinomial logistic regression was implemented to explore associations of maternal SAAs with adverse growth patterns in the offspring. Results: High serum methionine and cystine were independently associated with increased GDM risk (OR: 1.92, 95%CI: 1.18–3.13 and 2.69, 1.59–4.53). Conversely, a low level of serum taurine was independently associated with increased GDM risk (2.61, 1.64–4.16). Maternal high cystine and low taurine were also associated with an increased risk of persistent obesity growth pattern (POGP) in offspring (OR: 2.79, 95%CI: 1.09–7.17 and 3.92, 1.11–13.89) and the effect was largely independent of GDM. Conclusions: High serum methionine, cystine and low serum taurine in the early trimester of pregnancy were associated with a greatly increased risk of GDM. Maternal high cystine and low taurine were associated with elevated risk of offspring POGP, largely independent of GDM

Photoelectrochemical Studies on the TiO_2 Nanostructured Porous Film Sensitized by Cyanine Dye

研究了三甲川菁染料敏化ＴｉＯ２ 纳米结构电极的光电化学行为．结果表明，使用该染料敏化可显著提高ＴｉＯ２ 纳米结构电极的光电流，使电极的吸收波长红移至可见光区，光电转换效率得到明显改善，ＩＰＣＥ值最高可达１２－１ ％ ．The photoelectrochemical behaviors of the TiO 2 nanostructured porous film sensitized by cyanine dye were investigated in this paper.The results showed that the excitaed state level matched the conduction band edge of TiO 2 nanoparticle.Therefore the sensitization of the dye can increase the photocurrent intensity of the TiO 2 nanostructured electrode obviously and results in a red-shift of optical absorption from the ultra_violet region to the visible.As a result,the light_to _electricity conversion efficiency was improved evidently,the maximum value of IPCE has reached 12.1%.作者联系地址：北京大学化学与分子工程学院!北京100871,北京大学化学与分子工程学院!北京100871,北京大学化学与分子工程学院!北京100871,北京大学化学与分子工程学院!北京100871,北京大学化学与分子工程学院!北京100871,北京大学化学与分子工程学院!北京100871,华东理工大学精细化工研究所!Author's Address: College of Chenistry and Molecular Engineering,Peking University,Beijing 100871 Meng Fanshum Tian He Institute of Fine Chemicals,East China University of Scienc