Capital Normal University

About: Capital Normal University is a education organization based out in Beijing, China. It is known for research contribution in the topics: Terahertz radiation & Quantum entanglement. The organization has 11441 authors who have published 11988 publications receiving 159071 citations. The organization is also known as: Shǒudū Shīfàn Dàxué.

A positive test for the Greater Tarim Block at the heart of Rodinia: Mega-dextral suturing of supercontinent assembly

Abstract: Department of Geology and Geophysics, Yale University, New Haven, Connecticut 06520-8109, USA State Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi’an 710069, China School of Earth Sciences and Engineering, Nanjing University, Nanjing 210046, China College of Resource Environment and Tourism, Capital Normal University, Beijing 100048, China *Email: bin.wen@yale.edu

A turn-on type mechanochromic fluorescent material based on defect-induced emission: implication for pressure sensing and mechanical printing

Abstract: In principle, mechanochromic fluorescent (MCF) materials can be classified into two categories: turn-off and turn-on types. The latter is superior to the former as it is more sensitive and less likely to induce false-positive signals. In this study, we report the synthesis and photoluminescence (PL) behaviour of a biplane molecule, 2-amino-3-((E)-((2-hydroxynaphthalen-1-yl)methylene)amino)maleonitrile (AHM), which consists of an electron donor (D) plane and an acceptor (A) plane. AHM undergoes both aggregation-enhanced emission (AEE) and intramolecular charge transfer (ICT) mechanisms. It is weakly emissive in the crystalline phase but shows a remarkable emission enhancement with a large bathochromic-shift (67 nm) upon applying mechanical force. As confirmed by both spectroscopic methods and fluorescence microscopy, MCF arises from crystal defects, where the molecules would twist their conformation to break D–A coupling, inducing strong fluorescence. This defect-induced emission (DIE) endows the material with ultra-high sensitivity toward pressure. The detection limit (DL) of an AHM-based sensing film is as low as 1.1 N (0.62 MPa). Additionally, the DIE phenomenon of AHM further enables a new mechanical printing technique. Handwriting and imprinted letters exhibit a distinct emission change which is readily detected by the naked eyes. We believe that the unique turn-on MCF and high sensitivity make this material well-suited to tackle the challenges faced by conventional MCF materials.

End-to-end Lane Shape Prediction with Transformers

Abstract: Lane detection, the process of identifying lane markings as approximated curves, is widely used for lane departure warning and adaptive cruise control in autonomous vehicles. The popular pipeline that solves it in two steps— feature extraction plus post-processing, while useful, is too inefficient and flawed in learning the global context and lanes’ long and thin structures. To tackle these issues, we propose an end-to-end method that directly outputs parameters of a lane shape model, using a network built with a transformer to learn richer structures and context. The lane shape model is formulated based on road structures and camera pose, providing physical interpretation for parameters of network output. The transformer models non-local interactions with a self-attention mechanism to capture slender structures and global context. The proposed method is validated on the TuSimple benchmark and shows state-of-the-art accuracy with the most lightweight model size and fastest speed. Additionally, our method shows excellent adaptability to a challenging self-collected lane detection dataset, showing its powerful deployment potential in real applications. Codes are available at https://github.com/liuruijin17/LSTR.

Continuity of extremal transitions and flops for Calabi-Yau manifolds

Abstract: In this paper, we study the behavior of Ricci-flat Kahler metrics on Calabi-Yau manifolds under algebraic geometric surgeries: extremal transitions or flops. We prove a version of Candelas and de la Ossa’s conjecture: Ricci-flat Calabi-Yau manifolds related by extremal transitions and flops can be connected by a path consisting of continuous families of Ricci-flat Calabi-Yau manifolds and a compact metric space in the Gromov-Hausdorff topology. In an essential step of the proof of our main result, the convergence of Ricci-flat Kahler metrics on Calabi-Yau manifolds along a smoothing is established, which can be of independent interest.

Abnormalities of autobiographical memory of patients with depressive disorders: a meta-analysis.

Abstract: Background Previous studies on the autobiographical memory (AM) of depressed patients had inconsistent findings. Various severities of depression in patients in these studies may lead to conflicting results. However, the differences in the procedure of the autobiographical memory tests (AMTs) may also influence the AM results. Objective In this study, we analyse the results published so far to research the AM characteristics of patients with depressive disorders and identify moderators that affect the assessment results while using AMT in this field. Method A systematic search was conducted using following databases: MEDLINE, PubMed, ScienceDirect, Cnki, and Google Scholar, yielding 22 studies of patients with depressive disorders and autobiographical memory published between 1986 and 2010. Results The results of meta-analysis showed that, compared with the control group, the patients with depressive disorders reported less specific AMs (g = −1.051) and more overgeneralized AMs (g = 1.115). The patients with depressive disorders also recalled more slowly (g = 0.400). The effect sizes of overgeneral memory could be predicted by the self-reported depression score of the depressed patients (B = −.329, p < .01). The mean effect sizes of AMT indices were affected by the AMT characteristics (i.e., number of cue word, max response time, prompting, presentation of cue word, taping, and so on). Conclusions Our results suggest that overgeneralization and response lag are the AM deficits in patients with depressive disorders. The parameters of AMT are important factors, which are related to the inconsistency in the assessment of AM in patients with depressive disorders. Some recommendations on AMT and programme research design are given for future research. Practitioner Points This paper provides new insight into the current understanding of the AM deficits in patients with depressive disorders. This paper gives new recommendations on AMT and program research design for future clinical implications.