Institution
Beijing Normal University
Recent research
- Health & MedicineOpen access
Attention deficits are a core feature of attention deficit hyperactivity disorder (ADHD), yet the biological architecture underlying attentional variation remains incompletely understood. We integrated structural MRI, transcriptomics, and neurotransmitter mapping to investigate a...
- Society & EconomicsOpen access
Criminal liability in AI-assisted suicide: Theoretical challenges and doctrinal responses
The growing phenomenon of AI-assisted suicide poses a profound challenge to the traditional doctrines of criminal attribution. The difficulty becomes particularly acute when an AI system provides lethal information, reinforces suicidal ideation, or directly facilitates the fatal...
- Materials & Energy
Abstract A facile, photochemical three-component protocol for the regioselective synthesis of isoxazolines has been developed using commercially available aryl trichloromethane, alkene, and tert-butyl nitrite as starting materials. Unlike conventional methods that require presynt...
- Society & Economics
Hostile interpretation bias is a key cognitive factor associated with aggression; however, empirical research findings among adult populations remain inconsistent and lack systematic integration. This study aimed to quantitatively synthesise the association between hostile interp...
- Society & EconomicsOpen access
Adolescents’ and their parents’ depression influence each other reciprocally. However, the specific mechanisms that contribute to the shared occurrence of depression at the symptom level within families remain unclear. Additionally, these relationships may vary across different s...
- Society & EconomicsOpen access
As generative AI reshapes educational practice, the meaning of teacher artificial intelligence (AI) literacy has become central to teacher professionalism and student development. This conceptual article argues that teacher AI literacy should be understood as human–AI synergistic...
- Engineering & TechnologyOpen access
Silicon nanowire field-effect transistors for biosensing: Progress, challenges, and perspectives
Over the past two decades, silicon nanowires (SiNWs) have shown great potential in biomedical sensing based on field-effect principle, known as silicon nanowires field effect transistors (SiNW-FETs). Owing to their excellent inherent properties-such as high signal sensitivity and...
- Society & Economics
Purpose Rapid advances in smart technologies, artificial intelligence, robotics and algorithms (STARA) are reshaping the nature of work and raising concerns about employees' employability. Drawing on the theory of purposeful work behavior, our study examines how individuals' futu...
- Climate & Environment
Abstract Organophosphite antioxidants (OPAs) and their transformation products, novel organophosphate esters (NOPEs), are ubiquitous environmental contaminants, yet their toxicological profiles remain poorly understood. This study systematically characterized the neurodevelopment...
- Society & EconomicsOpen access
Childhood abuse and neglect may be associated with depressive symptoms through distinct developmental pathways, yet little is known about whether depressive symptom networks differ across trauma profiles. This study compared depressive symptom networks across abuse-only, neglect-...
- Engineering & Technology
Abstract Thermochemical gasification is a vital green technology for sewage sludge reduction and resource recovery, yet real-time emission forecasting remains exceptionally challenging due to chaotic operational fluctuations, pronounced time lags, and noisy sensor data. Conventio...
- Engineering & Technology
Ultra‐Dark on‐Chip Plasmonic Lattice Lasers for High‐Density Integrations
ABSTRACT Due to out‐of‐plane diffraction channels or scattering channels of defects, on‐chip micro‐lasers always suffer from severe emission of free‐space photons. This severely hampers not only the development of ultra‐high Q and ultra‐dark on‐chip micro‐lasers but also the high...
- Climate & Environment
Cross‐Basin Synergistic Effects Stall Summer Sea Ice Decline in the Chukchi Sea
Abstract Although global mean surface temperatures have risen rapidly, summer sea ice loss in the Chukchi Sea has exhibited an anomalous deceleration since the early 2000s. Using observations and numerical experiments, we show that this trend deceleration is closely linked to the...
- Society & EconomicsOpen access
Negativity bias in online reading widely occurs and leads to harmful results at the individual and social levels, but few studies have examined how to reduce this bias from the perspective of lexical processing. This study examined whether and how high lexical construal levels de...
- Health & Medicine
Abstract Benzotriazole ultraviolet stabilizers (BUVSs) have raised ecological safety concerns due to their environmental persistence and bioaccumulation. Among them, 2-(2H-benzotriazol-2-yl)-4-tert-butylphenol (UV-PS) is frequently detected in various environments and biological...
- Materials & EnergyOpen access
Alkaline water electrolysis (AWE) is a promising technology for large-scale renewable energy storage. However, with the increasing penetration of renewable energy sources (RESs), maintaining economic and safe operation under fluctuating power inputs remains challenging due to the...
- Climate & EnvironmentOpen access
Abstract Forecast models in statistical seismology are commonly evaluated with log-likelihood (LL) scores of the full distribution P(n) of earthquake numbers, yet fat tails and out-of-range observations (realized counts exceeding all simulations) can bias model ranking. We develo...
- Climate & EnvironmentOpen access
The complete mitochondrial genome of Microtendipes famiefeus was sequenced in this study. The circular mitogenome is 16,034 bp and comprises 13 protein-coding genes, 22 tRNAs, two rRNAs, and one control region. The mitogenome exhibits a strong A + T bias (76.4%) and a conserved g...
- AI & ComputingOpen access
Abstract The rise of generative artificial intelligence has made the fair use determination of training data a cutting-edge controversy in copyright law. This article systematically examines the judicial application experience of U.S. federal courts in the cases of Thomson Reuter...
- BiologyOpen access
A continually evolving knowledge-guided deep learning framework for daily maize yield formation
CONTEXT As multi-source agricultural datasets expand, accurate and interpretable simulation of crop yield formation is increasingly feasible and important for food security. Process-based models are widely used for yield forecasting but require laborious regional calibration. Art...