Shibin Wang
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View article: The association between family function and adolescents’ non-suicidal self-injury behaviors—is Chinese culture involved?
The association between family function and adolescents’ non-suicidal self-injury behaviors—is Chinese culture involved? Open
Introduction Non-suicidal self-injury (NSSI) is prevalent among adolescents with psychiatric disorders and has been closely associated with dysfunctional family environments. In the Chinese cultural context, where family structure and atti…
View article: Fine‐Tuned Charge Density of Pt Single‐Atom Sites for Controllable Hydrodeoxygenation of Lignin
Fine‐Tuned Charge Density of Pt Single‐Atom Sites for Controllable Hydrodeoxygenation of Lignin Open
Achieving high‐selectivity conversion of lignin to value‐added chemicals and biofuels remains a desirable but challenging target due to its complex structure with multiple reaction paths. Herein, we designed the robust Pt single‐atom sites…
View article: Prompting large language models to extract chemical‒disease relation precisely and comprehensively at the document level: an evaluation study
Prompting large language models to extract chemical‒disease relation precisely and comprehensively at the document level: an evaluation study Open
Given the scarcity of annotated data, current deep learning methods face challenges in the field of document-level chemical-disease relation extraction, making it difficult to achieve precise relation extraction capable of identifying rela…
View article: Atomic Norm Soft Thresholding for Sparse Time-frequency Representation
Atomic Norm Soft Thresholding for Sparse Time-frequency Representation Open
Time-frequency (TF) representation of non-stationary signals typically requires the effective concentration of energy distribution along the instantaneous frequency (IF) ridge, which exhibits intrinsic sparsity. Inspired by the sparse opti…
View article: Robust Trading Decision-Making Model for Demand-Side Resource Aggregators Considering Multi-Objective Cluster Aggregation Optimization
Robust Trading Decision-Making Model for Demand-Side Resource Aggregators Considering Multi-Objective Cluster Aggregation Optimization Open
In the context of a high proportion of new energy grid connections, demand-side resources have become an inevitable choice for constructing new power systems due to their high flexibility and fast response speed. However, the response capa…
View article: Prompting large language models to extract chemical‒disease relation precisely and comprehensively at the document level
Prompting large language models to extract chemical‒disease relation precisely and comprehensively at the document level Open
Currently, the intricate relationships between chemicals and diseases have increasingly been revealed and documented in many academic studies. However, constrained by the scarcity of high-quality annotated data, document-level relation ext…
View article: Application of Stereo Digital Image Correlation on Facial Expressions Sensing
Application of Stereo Digital Image Correlation on Facial Expressions Sensing Open
Facial expression is an important way to reflect human emotions and it represents a dynamic deformation process. Analyzing facial movements is an effective means of understanding expressions. However, there is currently a lack of methods c…
View article: Violent behavior and the network properties of psychopathological symptoms and real-life functioning in patients with schizophrenia
Violent behavior and the network properties of psychopathological symptoms and real-life functioning in patients with schizophrenia Open
Objective To assess the interplay among psychopathological symptoms and real-life functioning, and to further detect their influence with violent behavior in patient with schizophrenia. Methods A sample of 1,664 patients with post-violence…
View article: UCGAN：An efficient unaligned I2I translation based on contrastive learning
UCGAN：An efficient unaligned I2I translation based on contrastive learning Open
Image-to-image translation with unaligned domains is a seminal work that is capable of automatically selecting suitable image of unaligned dataset for translation. Unaligned datasets often contain irrelevant images that disrupt translation…
View article: Bridge connection between depression and anxiety symptoms and lifestyles in Chinese residents from a network perspective
Bridge connection between depression and anxiety symptoms and lifestyles in Chinese residents from a network perspective Open
Background Lifestyle habits are vital components of the culture of mental health treatment settings. We examined the bridge connection between depressive and anxiety symptoms and lifestyles from a network perspective using a population-bas…
View article: The mediating role of resilience between perceived social support and sense of security in medical staff following the COVID-19 pandemic: A cross-sectional study
The mediating role of resilience between perceived social support and sense of security in medical staff following the COVID-19 pandemic: A cross-sectional study Open
Background The COVID-19 pandemic not only posed a serious threat to public life and health but also had a serious impact on people's mental health, especially that of medical staff. Perceived social support is an important factor in one's …
View article: Job security among healthcare workers in Guangdong, China
Job security among healthcare workers in Guangdong, China Open
Objective The objective of this study was to explore the sense of job security and its influencing factors among healthcare workers in Guangdong, China. Methods This cross-sectional study used stratified random sampling to enroll healthcar…
View article: Picosecond Ultrasonics for Studying Elastic Modulus of Polycrystalline Chromium Nanofilms: Thickness Dependence and Stiffness Enhancement
Picosecond Ultrasonics for Studying Elastic Modulus of Polycrystalline Chromium Nanofilms: Thickness Dependence and Stiffness Enhancement Open
Accurate measurement of elastic constants in thin films is still an important issue to understand the scale behavior of nanosized materials. In the present study, we introduced an advanced non-destructive method, picosecond ultrasonics (PU…
View article: Characterizing the Thermally Grown Oxide in Thermal Barrier Coating by Terahertz Time Domain Spectroscopy
Characterizing the Thermally Grown Oxide in Thermal Barrier Coating by Terahertz Time Domain Spectroscopy Open
This paper presents a method to simultaneously measure the thickness and refractive index of the thermally grown oxide (TGO) in thermal barrier coating (TBC) by using a reflective terahertz time-domain spectroscopy (THz-TDS) system. First,…
View article: The impact of nurses' sense of security on turnover intention during the normalization of COVID-19 epidemic: The mediating role of work engagement
The impact of nurses' sense of security on turnover intention during the normalization of COVID-19 epidemic: The mediating role of work engagement Open
Background COVID-19 pandemic has entered a normal stage in China. During this phase, nurses have an increased workload and mental health issues that threaten the sense of security. Poor sense of security may have a considerable impact on t…
View article: Understanding the Attitudes and Willingness of Adult Chinese Patients with Rheumatic Diseases Towards COVID-19 Vaccination
Understanding the Attitudes and Willingness of Adult Chinese Patients with Rheumatic Diseases Towards COVID-19 Vaccination Open
The COVID-19 intentional vaccination rate was relatively low in adult Chinese patients with RD. Public health education and the dissemination of government scientific data for patients with RD should be enhanced to increase COVID-19 vaccin…
View article: Comprehensive characterization of thermal and mechanical properties in thin metal film-glass substrate system by ultrafast laser pump-probe method
Comprehensive characterization of thermal and mechanical properties in thin metal film-glass substrate system by ultrafast laser pump-probe method Open
Picosecond ultrasonics (PU), time-domain Brillouin scattering (TDBS), and time-domain thermo-reflectance (TDTR) are all in-situ, non-destructive, and non-contact experimental techniques based on the ultrafast laser pump-probe method, which…
View article: Study on the Crack Propagation of Stiff-Thin-Film-on-Soft-Substrate Structures under Biaxial Loading
Study on the Crack Propagation of Stiff-Thin-Film-on-Soft-Substrate Structures under Biaxial Loading Open
With the development of flexible electronic technology, lately, there has been an increase in demand for flexible electronic devices based on soft polymer-substrate metal film structures in challenging applications. These soft polymer-subs…
View article: Underwater laser directed energy deposition of NV E690 steel
Underwater laser directed energy deposition of NV E690 steel Open
Powder-based laser direct metal deposition (DMD), one of the directed energy deposition, was applied in air and underwater to repair pre-machined NV E690 steel plates. Systematic investigations on the effects of underwater environment and …
View article: Genetic programming with separability detection for symbolic regression
Genetic programming with separability detection for symbolic regression Open
Genetic Programming (GP) is a popular and powerful evolutionary optimization algorithm that has a wide range of applications such as symbolic regression, classification and program synthesis. However, existing GPs often ignore the intrinsi…
View article: Formation Mechanism and the Height of the Water‐Conducting Fractured Zone Induced by Middle Deep Coal Seam Mining in a Sandy Region: A Case Study from the Xiaobaodang Coal Mine
Formation Mechanism and the Height of the Water‐Conducting Fractured Zone Induced by Middle Deep Coal Seam Mining in a Sandy Region: A Case Study from the Xiaobaodang Coal Mine Open
The height of the water‐conducting fractured zone (WCFZ) is a basic parameter related to water protection in coal mines and is also crucial for aquifer protection and mine safety. In order to accurately detect the height and shape and reve…
View article: Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study
Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study Open
Recent progress on intelligent fault diagnosis (IFD) has greatly depended on\ndeep representation learning and plenty of labeled data. However, machines\noften operate with various working conditions or the target task has different\ndistr…