A multi-dimensional analysis of native and non-native academic research articles in twelve disciplines. [PDF]
Deng J, Al-Shaibani GKS.
europepmc +1 more source
Emergent Spin Supersolids in Frustrated Quantum Materials
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang +2 more
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An empirical study of intermediate and advanced Chinese learners of Japanese language about reading strategies based on think-aloud protocols. [PDF]
Sun Y, Zhang M, Tan S.
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ABSTRACT Accurately knowing the frontier orbital energies of the structurally disordered small‐molecule organic semiconductors that are used in optoelectronic devices such as organic light‐emitting diodes is required to rationally improve their performance. Here, we show that these energies can be deduced with a large accuracy from the peak energies of
Christian B. McDonald +7 more
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Analyzing the persuasion mechanism of AI-generated rumors via the elaboration likelihood model. [PDF]
Hou Z.
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Lead Halide Perovskite Photoelectrocatalysis
Lead halide perovskite semiconductors have emerged as highly promising materials for solar fuel and chemical synthesis. This perspective discusses advances made in the rational photoelectrode design to improve solar‐to‐chemical conversion, product scope, and scalability.
Virgil Andrei
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Critical discussion of recently published claims of a causal relationship between bat decline and infant mortality. [PDF]
Marx-Stoelting P +6 more
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Facet‐Specific PbS Quantum Dot Passivation Using Halide Perovskites for SWIR Photodetectors
PbS quantum dots (QDs) are emerging as powerful short‐wave infrared photodetectors, yet the passivation mechanism of large QDs by perovskites ‐ critical for their stability ‐ remains unexplained. Here, we unveil the ligand structure of CH3NH3PbI3 (MAPI)‐passivated 4‐nm PbS QDs using FTIR, XPS, SEM, NMR, and DFT.
L. Paillardet +13 more
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Multimodal deep learning for international investment arbitration outcome prediction and bilateral investment agreement negotiation strategy optimization. [PDF]
Wu H, Xu J.
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This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding +5 more
wiley +1 more source

