Northwestern Polytechnical University

About: Northwestern Polytechnical University is a education organization based out in Xi'an, China. It is known for research contribution in the topics: Microstructure & Computer science. The organization has 47497 authors who have published 56067 publications receiving 657071 citations. The organization is also known as: Xīběi Gōngyè Dàxué & State Northwest Institute of Engineering.

Hyperspectral Classification Based on Lightweight 3-D-CNN With Transfer Learning

Abstract: Recently, hyperspectral image (HSI) classification approaches based on deep learning (DL) models have been proposed and shown promising performance. However, because of very limited available training samples and massive model parameters, DL methods may suffer from overfitting. In this paper, we propose an end-to-end 3-D lightweight convolutional neural network (CNN) (abbreviated as 3-D-LWNet) for limited samples-based HSI classification. Compared with conventional 3-D-CNN models, the proposed 3-D-LWNet has a deeper network structure, less parameters, and lower computation cost, resulting in better classification performance. To further alleviate the small sample problem, we also propose two transfer learning strategies: 1) cross-sensor strategy, in which we pretrain a 3-D model in the source HSI data sets containing a greater number of labeled samples and then transfer it to the target HSI data sets and 2) cross-modal strategy, in which we pretrain a 3-D model in the 2-D RGB image data sets containing a large number of samples and then transfer it to the target HSI data sets. In contrast to previous approaches, we do not impose restrictions over the source data sets, in which they do not have to be collected by the same sensors as the target data sets. Experiments on three public HSI data sets captured by different sensors demonstrate that our model achieves competitive performance for HSI classification compared to several state-of-the-art methods.

Enabling long-lived organic room temperature phosphorescence in polymers by subunit interlocking

Abstract: Long-lived room temperature phosphorescence (LRTP) is an attractive optical phenomenon in organic electronics and photonics. Despite the rapid advance, it is still a formidable challenge to explore a universal approach to obtain LRTP in amorphous polymers. Based on the traditional polyethylene derivatives, we herein present a facile and concise chemical strategy to achieve ultralong phosphorescence in polymers by ionic bonding cross-linking. Impressively, a record LRTP lifetime of up to 2.1 s in amorphous polymers under ambient conditions is set up. Moreover, multicolor long-lived phosphorescent emission can be procured by tuning the excitation wavelength in single-component polymer materials. These results outline a fundamental principle for the construction of polymer materials with LRTP, endowing traditional polymers with fresh features for potential applications. Long-lived room temperature phosphorescence (LRTP) is important in organic photonics but exploring a universal approach to obtain LRTP in amorphous polymers is challenging. Here the authors present a facile chemical strategy to achieve ultralong phosphorescence in polymers by ionic bonding cross-linking.

Ultralong Phosphorescence from Organic Ionic Crystals under Ambient Conditions.

Abstract: A new type of materials, organic salts in the crystal state, have ultralong organic phosphorescence (UOP) under ambient conditions. The change of cations (NH4+ , Na+ , or K+ ) in these phosphors gives access to tunable UOP colors ranging from sky blue to yellow green, along with ultralong emission lifetimes of over 504 ms. Single-crystal analysis reveals that unique ionic bonding can promote an ordered arrangement of organic salts in crystal state, which then can facilitate molecular aggregation for UOP generation. Additionally, reversible ultralong phosphorescence can be realized through the alternative employment of fuming gases (ammonia and hydrogen chloride), demonstrating its potential as a candidate for visual ammonic or hydrogen chloride gas sensing. The results provide an environmental responsible and practicable synthetic approach to expanding the scope of ultralong organic phosphorescent materials as well as their applications.

“Dual Lock‐and‐Key”‐Controlled Nanoprobes for Ultrahigh Specific Fluorescence Imaging in the Second Near‐Infrared Window

Abstract: Fluorescence imaging in the second near-infrared window (NIR-II) is a new technique that permits visualization of deep anatomical features with unprecedented spatial resolution. Although attractive, effectively suppressing the interference signal of the background is still an enormous challenge for obtaining target-specific NIR-II imaging in the complex and dynamic physiological environment. Herein, dual-pathological-parameter cooperatively activatable NIR-II fluorescence nanoprobes (HISSNPs) are developed whereby hyaluronic acid chains and disulfide bonds act as the "double locks" to lock the fluorescence-quenched aggregation state of the NIR-II fluorescence dyes for performing ultrahigh specific imaging of tumors in vivo. The fluorescence can be lit up only when the "double locks" are opened by reacting with the "dual smart keys" (overexpressed hyaluronidase and thiols in tumor) simultaneously. In vivo NIR-II imaging shows that they reduce nonspecific activitation and achieve ultralow background fluorescence, which is 10.6-fold lower than single-parameter activatable probes (HINPs) in the liver at 15 h postinjection. Consequently, these "dual lock-and-key"-controlled HISSNPs exhibit fivefold higher tumor-to-normal tissue ratio than "single lock-and-key"-controlled HINPs at 24 h postinjection, attractively realizing ultrahigh specificity of tumor imaging. This is thought to be the first attempt at implementing ultralow background interference with the participation of multiple pathological parameters in NIR-II fluorescence imaging.