Xin Xiang

Shanghai University

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i-10 index

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Co-Authors

Junzhao Bu

Harbin Institute of Technology

Buzhou Tang

Harbin Institute of Technology

Xiaolong Wang

Qingdao University of Science and Technology

Fangcheng Lü

North China Electric Power University

Qing Xie

North China Electric Power University

Jian Liu

Zhejiang University-University of Edinburgh Institute

Qingcai Chen

Harbin Institute of Technology

Songlin Liu

Chongqing University

Bo Yuan

University of Queensland

Xiang Wang

Tianjin Polytechnic University

Cooperative Institutions

Soochow University

First Affiliated Hospital of Soochow University

Zhejiang University

Chinese Academy of Sciences

Harbin Institute of Technology

Sichuan Agricultural University

Central South University

Shanghai Jiao Tong University

Wuhan University

Affiliated Hospital of Guizhou Medical University

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Enhancing Sustainable Development Through Digital Service Trade Liberalization: Analyzing the Effects and Mechanisms on Bilateral Imports

Sustainability (2025)

Xin Xiang Zhao Jin-long

This study empirically examines the effects of digital services trade liberalization on digital services trade imports and its mediating mechanism through an augmented gravity model, utilizing data from 55 importing nations and 56 exporting countries from 2014 to 2020. Digital services trade liberalization substantially enhances digital services trade imports by reducing trade costs and aligning regulatory integration, and it exerts notable spillover effects on digital goods trade. Moreover, considering the variety of data service trade provisions, trade promotion provisions and privacy protection terms in digital RTAs exert much stronger positive effects on trade imports compared to data flow provisions. Regarding the heterogeneity of policy areas, liberalization initiatives, mainly removing performance and commercial presence criteria for digital services trade, exert the most substantial positive impact on imports of digital services. Furthermore, from the standpoint of industry heterogeneity, trade liberalization in digital services significantly enhances imports in insurance and pension services, intellectual property services, telecommunications, computer and information services, and personal, cultural, and recreational services. Finally, this article finds that a higher level of Internet development between the two parties correlates with a diminished trade promotion benefit of digital service trade liberalization.

10.3390/su17051823

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Robust Computational Methods for Smoothed L0 Approximation

Wang Feng Xin Xiang Kechu Yi Xiong Lei

Computational framework using surrogate functions and prior probability density functions, for smoothed L0 minimization approximation is studied in this paper, for the purpose of improving the recovery performance of non-convex compressed sensing. Firstly, a simple parameter adjusting strategy and modified SL0 and FOCUSS are presented, based on the convex-concave property analysis of approximation functions. Secondly, since L0 approximation problem can be viewed as a L0-Regularized Least Squares problem in noisy setting,a new computational framework called IRSL0 (Iteratively Reweighted SL0) is derived from the Newton direction, furthermore, a new surrogate function is also given. Finally, extensive numerical simulations demonstrate the robustness and applicability of the new theory and algorithms.

Robustness

Minification

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Study on strategic management cockpit of university based on BSC

Jisuanji gongcheng yu sheji (2011)

Xin Xiang

To enhance the capacity of the university strategic management and strengthen the core competitiveness of university,a information-based method of strategic management in university is proposed,which is based on balanced scorecard theory and management cockpit platform.First,the possibility of importing balanced scorecard into management cockpit system is discussed.Second,according to the different characteristics between universities and enterprises,the enterprise used balanced scorecard is modified to suit the situation of university.Then,it is used to S university,and a strategic management indicator system is designed.After that,the strategic management cockpit of university,which manages strategic information of university,is built by importing this management model into the management cockpit.Meanwhile,a case of theme: outstanding teaching and researching services is presented to verify the feasibility of the system.

Cockpit

Strategy map

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Research on Ultrasonic Locating of Partial Discharge in Power Transformer Based on Modified Multiple Signal Classification

Qing Xie Nan Wang Xin Xiang Yanqing Li Fangcheng Lü

The precise PD locating in power transformer can provide scientific information and guidance for its state maintenance. Due to the low resolution and estimation precision of MUSIC algorithm in PD locating used ultrasonic phased array, in this paper, a new locating method is proposed based on modified multiple signal classification (MMUSIC). Firstly, MMUSIC algorithm is used for direction of arrival estimating of PD source. Secondly, space locating of PD source is realized by crossover locating principle. Finally, the result of simulation based on 8 times 8 plane phased array model verifies the correctness of the new method, with the error less than 6 centimeters.

Multiple signal classification

10.1109/appeec.2009.4918721

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Citations (2)

Modeling Differential Settlement in the Partial-Cut and Partial-Fill Embankments of the Mountainous Expressways of China

GeoFlorida 2010 (2010)

Hongyuan Fu Guiyao Wang Jianjun Xu Xin Xiang Xudong Zha

To simulate the field conditions of a partial-cut and partial-fill embankment, the 3D non-linear finite difference model (FLAC3D) was utilized in this study. FLAC3D is able to visualize and characterize the deformation characteristics and stress distributions. The material parameters were determined from the laboratory tests and knowledge of the site conditions. The analysis results demonstrated that one of the main contributing factors for the settlement is the backfilling thickness as the settlement tended to increase with the backfilling thickness. Also, the maximum differential settlements existed in a small region (about 1.5 meter wide) at the junction of partial-cut and partial-fill embankment. Field evaluations on many expressways have also confirmed that surface cracks often occur in this small region. Transportation authorities can benefit from this study by formulating initiatives to develop cost effective design and construction methods that minimizes cracking, with a focus on the ∼1.5 meter wide region.

Settlement (finance)

10.1061/41095(365)183

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Citations (1)

Notch signaling and targeted therapy in non-small cell lung cancer

Cancer Letters (2024)

Jiajun Sun Meichen Dong Xin Xiang Shubing Zhang Doudou Wen

Targeted Therapy

10.1016/j.canlet.2024.216647

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Citations (16)

Transcriptome Analysis of Sogatella furcifera (Homoptera: Delphacidae) in Response to Sulfoxaflor and Functional Verification of Resistance-Related P450 Genes

International Journal of Molecular Sciences (2019)

Xue-Gui Wang Yanwei Ruan Changwei Gong Xin Xiang Xiang Xu

The white-back planthopper (WBPH), Sogatella furcifera, is a major rice pest in China and in some other rice-growing countries of Asia. The extensive use of pesticides has resulted in severe resistance of S. furcifera to variety of chemical insecticides. Sulfoxaflor is a new diamide insecticide that acts on nicotinic acetylcholine receptors (nAChRs) in insects. The aim of this study was to explore the key genes related to the development of resistance to sulfoxaflor in S. furcifera and to verify their functions. Transcriptomes were compared between white-back planthoppers from a susceptible laboratory strain (Sus-Lab) and Sus-Lab screened with the sublethal LC25 dose of sulfoxaflor for six generations (SF-Sel). Two P450 genes (CYP6FD1 and CYP4FD2) and three transcription factors (NlE78sf, C2H2ZF1 and C2H2ZF3) with upregulated expression verified by qRT-PCR were detected in the Sus-Lab and SF-Sel strains. The functions of CYP6FD1 and CYP4FD2 were analyzed by RNA interference, and the relative normalized expressions of CYP6FD1 and CYP4FD2 in the SF-Sel population were lower than under dsGFP treatment after dsRNA injection. Moreover, the mortality rates of SF-Sel population treated with the LC50 concentration of sulfoxaflor after the injecting of dsRNA targeting CYP6FD1 and CYP4FD2 were significantly higher than in the dsGFP group from 72 h to 96 h (p < 0.05), and mortality in the CYP6FD1 knockdown group was clearly higher than that of the CYP4FD2 knockdown group. The interaction between the tertiary structures of CYP6FD1 and CYP4FD2 and sulfoxaflor was also predicted, and CYP6FD1 showed a stronger metabolic ability to process sulfoxaflor. Therefore, overexpression of CYP6FD1 and CYP4FD2 may be one of the primary factors in the development of sulfoxaflor resistance in S. furcifera.

Delphacidae

Brown planthopper

Planthopper

10.3390/ijms20184573

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Citations (19)

Study on Weak Signal Extraction Method of 2FSK Mixed Signal

Bandaoti Guangdian (2016)

Lei Hongli Lu Yang Xin Xiang Liu Bao-hua Jingyi Zhang

SIGNAL (programming language)

Analytic signal

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Network structure exploration in networks with node attributes

Physica A Statistical Mechanics and its Applications (2016)

Yi Chen Xiaolong Wang Junzhao Bu Buzhou Tang Xin Xiang

Network Structure

10.1016/j.physa.2015.12.133

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Citations (29)

A Storm-Triggered Landslide Monitoring and Prediction System: Formulation and Case Study

Earth Interactions (2010)

Diandong Ren Lance M. Leslie Rong Fu Robert E. Dickinson Xin Xiang

Abstract Predicting the location and timing of mudslides with adequate lead time is a scientifically challenging problem that is critical for mitigating landslide impacts. Here, a new dynamic modeling system is described for monitoring and predicting storm-triggered landslides and their ecosystem implications. The model ingests both conventional and remotely sensed topographic and geologic data, whereas outputs include diagnostics required for the assessment of the physical and societal impacts of landslides. The system first was evaluated successfully in a series of experiments under idealized conditions. In the main study, under real conditions, the system was assessed over a mountainous region of China, the Yangjiashan Creeping (YC) slope. For this data-rich section of the Changjiang River, the model estimated creeping rates that had RMS errors of ∼0.5 mm yr−1 when compared with a dataset generated from borehole measurements. A prediction of the creeping curve for 2010 was made that suggested significant slope movement will occur in the next 5 years, without any change in the current precipitation morphology. However, sliding will become imminent if a storm occurs in that 5-yr period that produces over 150 mm of precipitation. A sensitivity experiment shows that the identified location fails first, triggering domino-effect slides that progress upslope. This system for predicting storm-triggered landslides is intended to improve upon present warning lead times to minimize the impacts of shallow, fast moving, and therefore hazardous landslides.

Mudflow

Natural hazard

10.1175/2010ei337.1

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Citations (21)