New York University Shanghai

Language-derived mental object load suppresses posterior alpha power

Language and vision are two primary source modalities of information for humans. To uncover shared and unique mental representations across linguistic and visual inputs, one approach is to test the extent to which a certain neural signature is shared. In the current EEG study, we...

Nonlinear Quantum Effects Drive Grotthuss Proton Conduction in Structured Electrolytes Based on Deep Eutectic Solvents

ABSTRACT Structured electrolytes based on deep eutectic solvents (DESs) face electrochemical limitations of vehicular diffusion due to high viscosities often leading to low conductivities. Here, we demonstrate that the inverse relationship between viscosity and conductivity in DE...

Perceived discrimination, coping, and psychosocial adjustment: A mixed methods study of Chinese internal migrant youth

Abstract Studies of identity‐based discrimination among Chinese youth attending vocational schools and working in urban areas are scarce. To contribute to the global understanding, we adopted an explanatory sequential mixed‐methods design with 204 Chinese internal migrant youth (...

Analyst visibility and earnings forecast quality

Abstract This study examines how a reduction in analysts’ visibility, resulting from brokerages’ switch to anonymous forecasts on Eikon, affects earnings forecast quality. Using a difference-in-differences design, we find that treatment analysts respond by issuing more accurate f...

Pretrained 3D Molecular Representations Enable Data-Efficient Discovery of High-Energy-Density Fuels

High-energy-density hydrocarbon (HEDH) fuels are essential for aerospace propulsion, yet the design of such fuels is limited by the scarcity of reliable property data. In this work, we fine-tuned Uni-Mol, a pretrained three-dimensional (3D) molecular representation learning frame...

Wave dynamics of Data-Driven soliton interaction for the nonlinear Bubble liquid model in complex fluid systems using Symbolic based Artificial Neural Network approach

In this article, we investigate the wave dynamics for solitons to the nonlinear bubble liquid model by applying the novel bilinear neural network approach. This equation has applications in complex fluid systems, fluid mechanics, geophysical flows, acoustic activation, and biomed...

Autonomic regulation as a mechanistic pathway linking transcutaneous auricular vagus nerve stimulation to intrinsic capacity in older adults: protocol for a randomized sham-controlled trial

Intrinsic capacity (IC) reflects the integrated physical and mental capacities of older adults and is a central target of healthy ageing interventions. However, the biological mechanisms underlying IC decline remain poorly understood. Autonomic nervous system (ANS) dysregulation...

Coarse-Grained Nonadiabatic Dynamics in Disordered Condensed Phases

Abstract The mechanisms underlying critical energy-gap fluctuations and nonadiabatic dynamics in disordered condensed phases remain elusive, and their accurate simulation poses a challenge due to the inherent complexity of these systems. In this study, we make the first attempt t...

Tightness of the maximum of Ginzburg–Landau fields

We consider the discrete Ginzburg–Landau field with potential satisfying a uniform convexity condition, in the critical dimension d=2, and prove that its maximum over boxes of sidelength N, centered by an explicit N-dependent centering, is tight.

The institutional politics of development finance: ODA’s role in shaping subnational DFI investments

Abstract Development finance institutions (DFIs), operated by donor governments to support private sector development in the Global South, often face informational barriers when deciding where to invest abroad. We argue that traditional Official Development Assistance (ODA), deli...

Asymmetric Dishonesty in Markets: A Field Experiment on Male Sellers and Buyer Gender

ABSTRACT Dishonest behavior is a pervasive phenomenon that imposes substantial economic and social costs on society. While the literature extensively documents gender differences in who lies, far less attention has been paid to whether sellers discriminate in their dishonesty bas...

Unified framework for efficiently computable quantum circuits

Quantum circuits consisting of Clifford and matchgates are two classes of circuits that are known to be efficiently simulatable on a classical computer. We introduce a unified framework that shows in a transparent way the special structure that allows these circuits to be efficie...

Counterfactual load forecasting with LLM-structured events and representation learning

News-reported social, environmental, and grid events can substantially reshape electricity demand, yet quantifying how such events perturb forecasted load trajectories remains largely unaddressed. Existing news-augmented forecasting studies use news as auxiliary features to reduc...

Culture Dose for Kids: A Convergent Parallel Mixed-methods Evaluation of a Gallery-based Programme for Childhood Anxiety in New South Wales, Australia

Abstract This study evaluates an eight-week gallery-based art programme designed to reduce anxiety in children aged 9–12 years. Using a convergent parallel mixed-methods design, we evaluated Culture Dose for Kids, a structured community-based art programme delivered in public gal...